Mine network operation and maintenance management system and method for coal mine development

Abstract

The invention relates to the technical field of industrial internet, in particular to a mine network operation and maintenance management system and method for coal mine development, and the system comprises a path passage evaluation module, an equipment state recognition module, a scheduling priority module, an operation path conflict evaluation module and a scheduling task issuing module. According to the method, a weighted time consumption model is constructed through task positions and path section passing difficulty parameters to realize path time consumption dynamic estimation and optimal passing path combination, and equipment state identification adopts operation parameter interval assignment and weighted summarization to realize multi-dimensional risk judgment. In task sorting, time consumption and risk levels are normalized to establish a combination interval to dynamically mark the emergency degree, the scheduling sequence is adjusted in combination with task point distribution, a path point set intersection is extracted in path conflict processing, the proportion of overlapped sections is calculated, and task positions are adjusted according to a threshold value to guarantee scheduling continuity; and task issuing uniformly generates a scheduling instruction set containing a path equipment state and a task type, so that the scheduling precision and the execution consistency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial Internet, and particularly to a mine network operation and maintenance management system and method for coal mine development. Background Art

[0002] The technical field of industrial Internet involves the deep integration and collaboration of cyber-physical systems, and covers multiple key aspects such as network communication, sensing and identification, edge computing, and control execution. The core content of this field is to achieve real-time perception, intelligent analysis, and dynamic control among production equipment, business processes, and industrial data by interconnecting sensors, automated control devices, and network platforms. Industrial Internet introduces digital, networked, and intelligent capabilities on the basis of traditional industries, and provides precise management and intelligent decision-making support for industries such as manufacturing, energy, transportation, and mines through the construction of interconnected platforms across hierarchies, systems, and regions. Its essence is the information integration of industrial systems and data-driven intelligent scheduling.

[0003] Among them, the mine network operation and maintenance management system for coal mine development refers to a system that collects, remotely transmits, and centrally manages data such as the operating status of coal mine equipment, environmental parameters, and safety information by constructing an industrial communication network covering the mine operation scenario and combining the requirements of operation and maintenance business management. This system addresses the problems in coal mine operation and maintenance such as multi-source heterogeneity of equipment, complex geographical distribution, and heavy manual management burden. It uses wireless communication terminals to access equipment status data, performs protocol conversion and preliminary screening through an edge gateway, and then uploads the data to the central control platform. The platform archives equipment operation data, screens risk information, and assigns operation and maintenance tasks according to preset rules to complete the full-process digital management.

[0004] The existing technology for path planning lacks dynamic calculation for passage difficulty, resulting in large deviations in task duration estimation. Equipment identification focuses on single-parameter changes and cannot reflect the comprehensive risks of the operating status. Task scheduling does not establish an emergency evaluation mechanism for tasks and cannot reasonably allocate the scheduling order. There is no conflict identification process for overlapping paths between multiple tasks, which is prone to cause equipment congestion and task delays. The structure of the scheduling distribution method is not unified, and there are interpretation deviations in information transmission, affecting the execution accuracy and response efficiency. These deficiencies are prone to cause instruction errors and operation conflicts in complex operation and maintenance environments, reducing the task scheduling coordination and safety guarantee capabilities. Summary of the Invention

[0005] The purpose of the present invention is to solve the deficiencies existing in the prior art, and to propose a mine network operation and maintenance management system and method for coal mine development.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: The mine network operation and maintenance management system for coal mine development includes: The path passage evaluation module obtains the location of the operation and maintenance unit and the coordinates of the task points, calls the length of the roadway path segment and the passage difficulty parameters, sums the product of the two, selects the plan with the minimum path time consumption, and generates an optimal task passage path set; The equipment status recognition module obtains the temperature, voltage, and vibration parameters of the mining equipment at the task points, makes interval judgments on multiple data with the risk threshold, assigns values according to the results and performs weighted aggregation, screens abnormal equipment, and generates a list of risk equipment; The scheduling priority sorting module calls the path time consumption and equipment risk data in the optimal task passage path set and the list of risk equipment, normalizes the time consumption and risk level and judges the combination interval. If both exceed the set threshold, it is marked as an urgent task. If both are on the low side, it is marked as a task with delayed execution. The rest are adjusted and sorted according to the weighted score, the number of task points, and the operation and maintenance coverage area, and a coal mine scheduling task priority sequence is generated; The operation path conflict evaluation module calls multiple task path point sets in the coal mine scheduling task priority sequence, executes the extraction of the overlapping section quantity and proportion of the path intersection, marks the tasks exceeding the threshold and moves the position backward, and generates the task sorting result after conflict adjustment.

[0007] As a further solution of the present invention, the optimal task passage path set includes a path time consumption value, a path selection number, task point order information, and a path passage difficulty identifier. The list of risk equipment includes an equipment number identifier, a risk level score, an abnormal index label, and an equipment operation status identifier. The coal mine scheduling task priority sequence includes a task priority mark, a normalized time consumption value, a normalized risk value, a task point quantity evaluation value, and an operation and maintenance coverage factor. The task sorting result after conflict adjustment includes a task sorting number, a path overlapping section statistical value, a conflict identifier label, and an adjusted position identifier.

[0008] As a further solution of the present invention, the path passage evaluation module includes: The position extraction sub-module, based on the location of the operation and maintenance unit and the coordinates of the task points, calls the longitude and latitude of the task points and the unit area number in the scheduling database, screens the coordinate point pairs within the same scheduling area, and generates a task coordinate matching set; The path calculation and evaluation sub-module calls the coordinate point pairs in the task coordinate matching set, calculates the product of the path segment length and the passage difficulty, the square root of the length difference, and the square of the manual intervention amount, and then performs weighted summation with the path smoothness rate and the operation stability degree. The formula is: ; Through calculation, the path passage time consumption value between the task point and the unit point is obtained, and a path passage time consumption matrix is obtained; Among them, represents the path passage time consumption value from unit to task point , Representation unit And the task point The Length of the Represents the passing difficulty of the path segment, Represents the amount of artificial auxiliary intervention set on the path segment, Represents the smoothness rate of the path segment, Represents the operation stability of the area where the path segment is located, Represents the total number of path segments, Is the path segment index number, Represents the unit number index, Represents the task point number index; The optimal path screening sub-module screens the path combination with the minimum passing time according to the multi-path time-consuming values in the path passing time matrix, constructs the passing sequence of the unit and the task point, and generates the optimal passing path set of the task.

[0009] As a further solution of the present invention, the device state recognition module includes: The data acquisition sub-module obtains the temperature value, voltage value, and vibration value of the mining equipment at the task point, classifies and organizes them according to the equipment number, eliminates abnormal data, and obtains the parameter integration value; The interval judgment sub-module calls three types of risk threshold intervals according to the parameter integration value, performs interval judgment and classification calculation on multiple types of parameters, and uses the formula: ; Calculates the parameter abnormal deviation degree through operation, forms a weighted score according to the deviation value and the sensitivity coefficient, and obtains the risk deviation coefficient; Among them, Represents the equipment Of the risk deviation coefficient, Represents the equipment In the parameter Observed value on, Represents the equipment In the parameter Risk threshold central value on, Is the Risk sensitivity coefficient of the Represents the equipment In the parameter Fluctuation intensity on, Represents the equipment number index, Represents the parameter category index; The risk screening sub-module sets the screening limit according to the risk deviation coefficient, eliminates the low-deviation equipment, summarizes the remaining equipment and the corresponding parameters, and generates a list of risk equipment.

[0010] As a further solution of the present invention, the scheduling priority sorting module includes: The path risk normalization sub-module calls the path time-consuming and equipment risk data in the task optimal passing path set and the risk equipment list, respectively normalizes the path time-consuming and the equipment risk value, obtains the time-consuming normalization value and the risk level normalization value, establishes the corresponding two-dimensional data points, and generates the path normalized risk data pair; The urgency judgment sub-module determines whether it exceeds the time-consuming threshold and the risk level threshold at the same time according to the path normalized risk data pair, marks the task urgency, establishes three types of task labels, and generates the task urgency classification label; The priority sequence generation sub-module calls the path normalized risk data pair of the intermediate task based on the task urgency classification label, combines the number of task points and the operation and maintenance coverage range value for weighted calculation, and uses the formula: ; Calculate the comprehensive sorting score value of the intermediate task through operation, adjust the task order from high to low according to the score value, and generate the coal mine scheduling task priority sequence; Among them, represents the comprehensive sorting score value of the intermediate task , is the time-consuming normalization value of task , is the risk normalization value of task , is the time-consuming weighted index, is the risk weighted index, represents the number of task points of task , is the operation and maintenance coverage range value of task , is the absolute value of the difference between the two, is the sum of the products of the time-consuming and risks of all intermediate tasks, represents the task number index, is the intermediate task set index, represents the number of intermediate tasks.

[0011] As a further solution of the present invention, the operation path conflict assessment module includes: The path point set extraction sub-module calls the multi-task path point information based on the coal mine scheduling task priority sequence, extracts the path point number and the time series data, constructs the structured path point set, and generates the path point number sequence set; The coincidence segment identification sub-module calls the path point number sequence set, compares the path points in pairs for number comparison, calculates the number and proportion of coincidence points, and combines the total number of path points, the start time difference, and the path segment spacing difference, and uses the formula: ; Calculate the path coincidence intensity value among multitask combinations through operations, mark the combinations with coincidence intensity exceeding the threshold, and obtain the coincidence path intensity matrix; Among them, represents task and task the path coincidence intensity between them, represents task , the path point set of on the path segment, respectively represent the total number of path points of task , , respectively represent the start time points of task , , is the distance difference between the path segments of task , , represents the number of path segments, is the path segment index number, represents the number index of the task combination.

[0012] The task order adjustment sub-module extracts the task combinations with intensity exceeding the threshold according to the coincidence path intensity matrix, adjusts the task sorting and rearranges the scheduling order based on the time-shifted task numbers, and generates the task sorting result after conflict adjustment.

[0013] As a further solution of the present invention, the system further includes: The scheduling task issuing module calls the task sorting result after conflict adjustment, generates a combination of scheduling parameter fields including numbers, paths, devices, and types for the task sorting content, assembles them into output instructions, and generates a mine network operation and maintenance scheduling instruction set; The mine network operation and maintenance scheduling instruction set includes scheduling task numbers, passing path information, associated device information, and scheduling task type labels.

[0014] As a further solution of the present invention, the scheduling task issuing module includes: The scheduling path calculation sub-module calls the task sorting result after conflict adjustment, extracts the starting and ending point coordinate values and path node numbers, recombines the path numbers in combination with the sorting order identifier, matches according to the task node number and the path node position index, filters continuous path sections and binds task numbers, and generates a set of task path sequence numbers; The device matching determination sub-module calls the path node information in the set of task path sequence numbers, obtains the bound device numbers and operation status identifiers, calculates the device continuous operation matching degree value and compares it with the node continuous operation matching threshold, filters the matching device numbers, and generates the path node device matching coefficient; The type field fusion sub-module extracts the device type field code and path number according to the device number in the path node device matching coefficient, splices the device type field and the path node number, and locates them back to the original task number to generate a task field fusion combination value; The instruction assembly output sub-module calls the task field fusion combination value, arranges it in ascending order of task number, adds an execution priority identifier, a scheduling trigger flag bit, and a time stamp identifier, sets the output format field order in combination with the task number, and writes it into the template structure to generate a mine network operation and maintenance scheduling instruction set.

[0015] A mine network operation and maintenance management method for coal mine development, the mine network operation and maintenance management method for coal mine development is executed based on the above-mentioned mine network operation and maintenance management system for coal mine development, and includes the following steps: S1: Obtain the location of the operation and maintenance unit and the coordinates of the task point, call the path segment length and the passing difficulty coefficient, sum the product of the path segment length and the passing difficulty coefficient, compare the time-consuming values, and obtain a path time-consuming evaluation value; S2: Obtain the device temperature, voltage, and vibration parameters, perform interval judgment on each parameter and the corresponding risk threshold, assign values, and perform weighted aggregation to obtain the device operation risk level value; S3: Call the time-consuming and risk data in the path time-consuming evaluation value and the device operation risk level value, perform normalization processing on the two data items and judge the combination interval, mark high-time-consuming and high-risk tasks as urgent, mark low-time-consuming and low-risk tasks as slow to execute, and sort the remaining tasks according to the weighted score, the number of task points, and the coverage range to obtain a scheduling task priority score value; S4: Call the task path point set in the scheduling task priority score value, perform path intersection extraction and coincidence segment statistics, mark the tasks with paths exceeding the threshold and move their positions backward to obtain a path coincidence conflict adjustment amount; S5: Call the sorted adjusted tasks in the path coincidence conflict adjustment amount, combine the task number, path point, device number, and task type field to obtain a scheduling task parameter output amount.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In the present invention, a weighted time-consuming model is constructed based on the task location and the path segment passing difficulty parameter to achieve dynamic path time-consuming estimation and optimize the optimal passing path combination. The device status recognition adopts interval assignment of multiple operating parameters and weighted aggregation to achieve comprehensive multi-dimensional risk determination. In the task sorting, after normalizing the time-consuming and the risk level, a combined interval is established to dynamically mark the urgency of the task, and the scheduling order is adjusted in combination with the distribution of task points. In the path conflict handling stage, the intersection of the path point sets is extracted and the coincidence segment ratio is calculated, and the task location is adjusted according to the threshold to ensure the continuity of scheduling. The task issuance uniformly generates a scheduling instruction set including the path, the device status, and the task type to improve the scheduling accuracy and execution consistency. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the system flow chart of the present invention; Figure 2 is the flow chart of the path passing evaluation module of the present invention; Figure 3 is the flow chart of the device status recognition module of the present invention; Figure 4 is the flow chart of the scheduling priority sorting module of the present invention; Figure 5 is the flow chart of the operation path conflict evaluation module of the present invention; Figure 6 is the flow chart of the scheduling task issuance module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the present invention. In addition, in the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.

[0020] Embodiment 1

[0021] Please refer to Figure 1 , the present invention provides a technical solution: A mine network operation and maintenance management system for coal mine development includes: The path passing evaluation module obtains the location of the operation and maintenance unit and the coordinates of the task points, calls the length of the roadway path segment and the passing difficulty parameters, sums the product of the two, selects the plan with the minimum path time consumption, and generates the optimal passing path set for the task; The equipment status identification module obtains the temperature, voltage, and vibration parameters of the mining equipment at the task point, makes interval judgments on multiple data and the risk threshold, assigns values and weights them according to the results, screens abnormal equipment, and generates a list of risky equipment; The scheduling priority sorting module calls the path time consumption and equipment risk data in the optimal passing path set for the task and the list of risky equipment, normalizes the time consumption and risk level and judges the combination interval. If both exceed the set threshold, it is marked as an urgent task. If both are relatively low, it is marked as a task with delayed execution. The rest are adjusted and sorted according to the weighted score, the number of task points, and the operation and maintenance coverage range, and generates the priority sequence of coal mine scheduling tasks; The operation path conflict evaluation module calls multiple task path point sets in the priority sequence of coal mine scheduling tasks, executes the extraction of the overlapping section quantity and proportion of the path intersection, marks the tasks exceeding the threshold and moves the position backward, and generates the task sorting result after conflict adjustment; The scheduling task issuing module calls the task sorting result after conflict adjustment, generates a combination of scheduling parameter fields including number, path, equipment, and type for the task sorting content, assembles it into an output instruction, and generates a mine network operation and maintenance scheduling instruction set.

[0022] The optimal passing path set for the task includes path time consumption value, path selection number, task point sequence information, and path passing difficulty identification; the list of risky equipment includes equipment number identification, risk level score, abnormal index label, and equipment operation status identification; the priority sequence of coal mine scheduling tasks includes task priority mark, normalized time consumption value, normalized risk value, task point quantity evaluation value, and operation and maintenance coverage range factor; the task sorting result after conflict adjustment includes task sorting number, path overlapping section statistical value, conflict identification label, and adjusted position identification; the mine network operation and maintenance scheduling instruction set includes scheduling task number, passing path information, associated equipment information, and scheduling task type label.

[0023] Please refer to Figure 2 , the path passing evaluation module includes: The location extraction sub-module, based on the location of the operation and maintenance unit and the coordinates of the task points, calls the longitude and latitude of the task points and the unit area number in the scheduling database, screens the coordinate point pairs within the same scheduling area, and generates a task coordinate matching set; First, call the scheduling database to obtain the longitude and latitude information of each task point and its affiliated area number, so as to clarify the specific location information of each task point. Then, separately retrieve the area number and longitude and latitude information of the operation and maintenance units to form an initial geographical location data combination between each operation and maintenance unit and each task point. At this time, there may be cross-regional situations in the formed data combination. Subsequently, based on the area number, compare the area numbers of all initial data combinations one by one, discard the coordinate point pairs with different area numbers, and only retain the combinations of operation and maintenance units and task points with exactly the same area number. For example, if the number of unit A is area 01 and the number of task point T1 is also area 01, then this pair of coordinates is retained. However, if the number of unit A is area 01 and the number of task point T2 is area 02, then this combination is discarded. Next, after reconfirming the retained combinations through the area number, establish the coordinate point matching relationship within the same scheduling area. For example, unit A (longitude 116.40°E, latitude 39.90°N) and task point T1 (longitude 116.41°E, latitude 39.91°N) are both in Haidian District, Beijing, and they are determined as a valid coordinate point pair, and finally generate a task coordinate matching set of units and task points.

[0024] The path calculation and evaluation sub-module calls the coordinate point pairs in the task coordinate matching set, calculates the product of the path segment length and the passing difficulty, the square root of the length difference, and the square of the manual intervention amount, and then performs a weighted sum with the path smoothness rate and the operation stability. The formula is: ; Through the operation, obtain the path passing time value between the task point and the unit point, and obtain the path passing time matrix. Among them, represents the path passing time value from unit to task point , represents the length of the th path segment between unit and task point , represents the passing difficulty of the path segment, represents the manually assisted intervention amount set on the path segment, represents the smoothness rate of the path segment, represents the operation stability of the area where the path segment is located, represents the total number of path segments, is the path segment index number, represents the unit number index, represents the task point number index; Taking unit A to task point T1 as an example, the detailed execution process is as follows: First, call the path segment data between unit A and task point T1. Assume that the path is divided into 3 road segments, and the length of each road segment , passing difficulty 、Manual intervention amount 、Path smoothness rate and operation stability Obtained through on-site measurement, historical operation record collection or real-time monitoring. The specific data is shown in Table 1 as follows: Table 1 Data table of the path segment from unit A to task point T1 (unit: A)

[0025] The specific calculation process is carried out segment by segment: For the first path segment, multiply the length by the passing difficulty, getting 2.5 km × 3 = 7.5; the square root of the absolute value of the difference between the length and the difficulty is ; the square of the manual intervention amount is ; the sum of the path smoothness rate and the operation stability is 95 + 92 = 187; sum up the above three values and then divide by the sum of the smoothness rate and the stability, that is . Calculate the second path segment in the same way: (3.0 × 4 = 12.0; ; 22 = 4; (12 + 1 + 4) / (88 + 90) = 17 / 178 = 0.0955). Then calculate the third path segment: (1.5 × 2 = 3; ; 12 = 1; (3 + 0.707 + 1) / (97 + 95) = 4.707 / 192 = 0.0245). Finally, sum up the values obtained from the above three segments, that is . This result indicates that the path passing time value from unit A to task point T1 is 0.1692, and this value is relatively small, indicating that the overall passing condition of this path is good.

[0026] The optimal path screening sub-module screens the path combination with the minimum passing time according to the multi-path passing time values in the path passing time matrix, constructs the passing sequence between the unit and the task point, and generates the optimal passing path set for the task.

[0027] For example, among the three alternative paths from unit A to task point T1, assume that the time-consuming values of path P1, P2, and P3 are 0.1692, 0.2150, and 0.1845 respectively. The execution process is to first call the time-consuming values of paths 0.1692, 0.2150, and 0.1845 one by one and perform pairwise comparisons in sequence. In the first comparison between 0.1692 and 0.2150, it is determined that 0.1692 has a smaller value, and path P2 is discarded; in the second call, the 0.1692 of path P1 is compared with the 0.1845 of path P3. After comparison again, it is determined that 0.1692 is smaller, so path P1 is retained again and path P3 is discarded; after the above two calls and judgment and comparison of the path passing time-consuming values, the time-consuming value of path P1, 0.1692, is the minimum value. Therefore, path P1 is determined as the optimal path. Finally, the coordinates of the unit and task point of path P1 are added to the passing sequence of the unit and task point in turn, thereby forming the optimal passing path set of the task.

[0028] Please refer to Figure 3 , the device status recognition module includes: The data acquisition sub-module acquires the temperature value, voltage value, and vibration value of the mining equipment at the task point, classifies and organizes them according to the equipment number, and eliminates abnormal data to obtain the parameter integration value; Taking the mining equipment numbered Q1 as an example, the collected data includes the temperature value of 75 measured by the temperature sensor T1 , the voltage value of 380V measured by the voltage sensor U1, and the vibration value of 15mm / s measured by the vibration sensor Z1. These parameters are respectively marked with the equipment number to form the initial data. Subsequently, the acquired data is classified and organized. This organization process includes summarizing the data with the same equipment number one by one, and listing the different types of parameters measured by all sensors in the same array or table. For example, for equipment Q1, the corresponding temperature value array is [T1: 75 , T2: 77 , T3: 76 , the voltage value array is [U1: 380V, U2: 382V, U3: 378V], and the vibration value array is [Z1: 15mm / s, Z2: 16mm / s, Z3: 14mm / s]. Then, abnormal data is judged based on the reasonable data range. For example, the normal temperature range is set to 60 to 80 , the normal voltage range is set to 370V to 390V, and the normal vibration range is set to 10mm / s to 20mm / s. For each value in the array, a comparison operation is performed with the upper and lower limit values of the interval. If a certain measured value, such as T4, is 95 and exceeds the upper limit of the normal temperature range, 80 , then it is directly excluded through judgment actions, completing the exclusion process of abnormal data. Finally, the remaining parameters are numerically integrated. For example, for each value in the temperature array: 75 , 77 , 76 , through arithmetic mean calculation, the integrated temperature value of device Q1 is obtained as 76 . Using the same method to process the voltage and vibration arrays, the integrated voltage value is obtained as 380V and the integrated vibration value is 15mm / s to obtain the integrated parameter values.

[0029] The interval judgment sub-module calls three types of risk threshold intervals according to the integrated parameter values, performs interval judgment and classification calculation on multiple types of parameters, using the formula: ; Calculate the abnormal deviation degree of the parameter through operation, form a weighted score according to the deviation value and the sensitivity coefficient, and obtain the risk deviation coefficient; Among them, represents the risk deviation coefficient of device , represents the observed value of device on parameter , represents device on parameter the risk threshold central value, is the risk sensitivity coefficient of the th type of parameter, represents device on parameter the fluctuation intensity, represents the device number index, represents the parameter category index; The specific implementation method of this process is as follows: First, refer to the risk threshold intervals of various parameters determined in advance through experiments. For example, the temperature risk threshold central value is set to 70 , the voltage risk threshold central value is set to 375V, and the vibration risk threshold central value is set to 12mm / s; Secondly, determine the setting of the risk sensitivity coefficient . The sensitivity coefficient is weighted according to the actual failure occurrence frequency after multiple tests on the degree of influence of device parameter changes on faults. For example, the temperature change is more sensitive and a higher sensitivity coefficient is assigned, the voltage change is less sensitive and assigned , and the vibration change is assigned the lowest value of ; Subsequently, determine the fluctuation intensity , the fluctuation intensity is obtained by calculating the historical fluctuation variances of various parameters after collecting historical data through long-term monitoring. For example, the historical data variance of the temperature of device Q1 is 4.0, the voltage variance is 6.0, and the vibration variance is 1.0. Based on the above set values and by invoking the formula: ; The calculation process is illustrated by substituting specific numerical values: Taking device Q1 as an example, substituting the aforementioned values into the formula in sequence, the calculation process is specifically shown as: ; Calculate the specific arithmetic formula: ; The result shows that the risk deviation coefficient of device Q1 is 6.81, indicating that the parameters of this device during monitoring have significantly deviated from the central value of the set risk threshold.

[0030] The risk screening sub-module sets the screening limit according to the risk deviation coefficient, eliminates low-deviation devices, aggregates the remaining devices and corresponding parameters, and generates a list of risk devices.

[0031] Establish a risk screening limit based on the actual monitoring data. Specifically, when setting, after measuring the risk deviation coefficient data of all devices through historical data, calculate the median value and its fluctuation range of the deviation coefficient. For example, the risk deviation coefficients of 5 devices collected historically are: [4.5, 5.0, 6.0, 7.2, 8.5]. Through actual calculation, the median value is 6.0, and the set risk deviation coefficient threshold is 6.0. That is, taking this threshold as the limit, through comparison and judgment actions, devices with risk deviation coefficients lower than the threshold, such as the two devices with 4.5 and 5.0, are directly eliminated, and three devices with risk deviation coefficients higher than or equal to the threshold, such as 6.0, 7.2, and 8.5, are included in the list of risk devices. Finally, aggregate the device numbers of the screened and retained devices and the integrated values of the corresponding temperature, voltage, and vibration parameters to generate a list of risk devices, forming the result.

[0032] Table 2 Historical data table of device risk deviation coefficients

[0033] As shown in Table 2, this table lists the integrated parameter values of 5 devices and the calculated risk deviation coefficients. According to the screening threshold of 6.0, three devices, Q1, Q3, and Q5, are determined as risk devices.

[0034] Please refer to Figure 4 , the scheduling priority sorting module includes: The path risk normalization sub-module calls the path time consumption and device risk data in the optimal passing path set of the task and the risk device list, respectively normalizes the path time consumption and the device risk value, obtains the normalized time consumption value and the normalized risk level value, establishes the corresponding two-dimensional data points, and generates the path normalized risk data pairs; First, the normalization processes of time consumption and risk are carried out separately. The specific process of path time consumption normalization is to calculate the ratio of the actual time consumption data of a certain path to the maximum time consumption data among all the selected paths to obtain the normalized time consumption value. For example, the actual time consumption of coal mine roadway path A is 25 minutes, and the time consumption of the longest path in this coal mine task set is 50 minutes, then the normalized time consumption value of path A is 25 / 50 = 0.5; the processing method of the normalized risk level value is to divide the risk value of a single risk device by the maximum risk value among all the risk values of the devices in the current task risk device list. For example, the risk value of device X is 30, and the maximum risk value in the risk device list is 100, then the normalized risk level value of device X is 30 / 100 = 0.3. After the above calculations, the normalized time consumption value and the normalized risk level value are combined to establish two-dimensional data points. For example, the corresponding combined data point of the above path A and device X is (0.5, 0.3). The above process is repeated for each path in the task set, and finally the normalized risk data pairs of all paths are generated.

[0035] The urgency judgment sub-module judges whether it exceeds the time consumption threshold and the risk level threshold at the same time according to the path normalized risk data pairs, marks the task urgency, establishes three types of task labels, and generates the task urgency classification label; The overrun judgment operations of the time consumption threshold and the risk level threshold are respectively performed according to the path normalized risk data pairs. The time consumption threshold and the risk level threshold are specifically set as preset values. The specific settings of these two thresholds refer to the data range of the coal mine task scenario. The normalized time consumption threshold is usually set to 0.7, and the normalized risk level threshold is set to 0.6. For example, the normalized time consumption value of a certain path corresponding data point is 0.8, and the normalized risk level value is 0.65. Then, comparison actions need to be performed, comparing 0.8 with 0.7 respectively in terms of numerical size, and comparing 0.65 with 0.6 at the same time. Through comparison, it is found that the above values exceed the set thresholds at the same time. Therefore, the task urgency corresponding to this path is marked as a high level. Similarly, if one of the time consumption value or the risk value of the path data point is lower than the threshold, the urgency of the task is determined to be a medium level, and if both are lower than the threshold, the task urgency is marked as a low level. Thus, the marking of the three types of task labels is realized, forming a complete task urgency classification label.

[0036] The priority sequence generation sub-module, based on the task urgency classification label, calls the path normalized risk data pairs of the intermediate tasks, and performs weighted calculations in combination with the number of task points and the operation and maintenance coverage range value, using the formula: ; Obtain the comprehensive sorting score value of the intermediate tasks through calculation, adjust the task order from high to low according to the score value, and generate the priority sequence of coal mine dispatching tasks; Among them, represents the comprehensive sorting score value of the intermediate task ; is the normalized value of the time consumption of task ; is the normalized value of the risk of task ; is the time consumption weighting index; is the risk weighting index; represents the number of task points of task ; is the operation and maintenance coverage value of task ; is the absolute value of the difference between the two; is the total sum of the products of the time consumption and risk of all intermediate tasks; represents the task number index; is the intermediate task set index; represents the number of intermediate tasks.

[0037] Set the number of intermediate tasks to 3, and the specific parameter information of each intermediate task is shown in Table 3: Table 3 Intermediate Task Parameter Information Table

[0038] As shown in Table 3, through the formula: ; The detailed explanations of each parameter are as follows: is the comprehensive sorting score value of the intermediate task ; is the normalized value of the time consumption of task ; is the normalized value of the risk of task ; The index and are set to 2 and 2 respectively. The settings of these two indexes are determined by the actual management experience of the coal mine, that is, the sensitivities of risk and time consumption both take the square relationship; is the number of task points of task , obtained through actual statistics; is the operation and maintenance coverage value of task , obtained through the statistics of the area covered by the responsible area of on-site operation and maintenance personnel; The summation symbol represents the execution of for all tasks with the number of intermediate tasks being and performing the cumulative multiplication operation.

[0039] Taking the task with task number 1 as an example, the calculation process is as follows: First, obtain the total product of the normalized values of each intermediate task: ; Calculate the intermediate expression of task 1: ; Calculate the absolute difference between the task point and the coverage range: ; Substitute the above calculation results to obtain the scoring value: ; Under the same process, calculate the scoring values of tasks with task numbers 2 and 3 respectively, then sort them from high to low according to the scoring values, and finally adjust to generate the priority sequence of coal mine dispatching tasks. If the final scoring value ranking is task 2 > task 1 > task 3, that is, the task priority sequence is task 2 → task 1 → task 3.

[0040] The higher the calculated comprehensive scoring value, the more obvious the imbalance between the comprehensive risk and time-consuming situation of the task and the operation and maintenance coverage range and the number of task points. The more urgent the task and the higher the dispatching priority. Therefore, this result shows that the task priority sequence calculated by the comprehensive scoring value is closely related to the operation and maintenance strategy of the actual dispatching scenario, and the scoring value effectively determines the priority level of task processing.

[0041] Please refer to Figure 5 , the job path conflict assessment module includes: The path point set extraction sub-module, based on the coal mine dispatching task priority sequence, calls the multi-task path point information, extracts the path point numbers and timing data, constructs a structured path point set, and generates a path point number sequence set; For example, a certain coal mine needs to execute tasks A, B, and C between 8:00 and 9:00 in the morning. The priority sequence of these tasks is A→B→C in turn; the sub-module executes them in order of priority. First, it calls the path point information of task A. Task A includes the set of path point numbers [12, 13, 14, 15] on path segment 1 and the set of path point numbers [16, 17, 18] on path segment 2. The corresponding starting time of the timing data is 08:00, and the time interval of the path point numbers is 1 minute per point. Next, it calls the path point information of task B. The set of path point numbers on path segment 1 of task B is [14, 15, 19, 20], and path segment 2 is [21, 22]. The starting time is 08:05, and the interval of each path point is also 1 minute. The set of path point numbers on the path segment of task C is [18, 23, 24], the starting time of the path segment is 08:10, and the interval is 1 minute. The path point set extraction sub-module extracts the above information task by task and path segment by path segment, and forms a structured path point set based on the combination of timing information and path point numbers. The path point set of each task and its corresponding timing are both structured records, so as to obtain the following structured path point number sequence set: (Task A: [12(08:00), 13(08:01), 14(08:02), 15(08:03), 16(08:04), 17(08:05), 18(08:06)], Task B: [14(08:05), 15(08:06), 19(08:07), 20(08:08), 21(08:09), 22(08:10)], Task C: [18(08:10), 23(08:11), 24(08:12)]), and finally forms a task path point number sequence set.

[0042] The overlapping segment recognition sub-module calls the path point number sequence set, compares the path point numbers in pairs, calculates the number and proportion of overlapping points, and combines the total number of path points, the starting time difference, and the path segment spacing difference, using the formula: ; Through calculation, the path overlap intensity value between multi-task combinations is obtained. Combinations with an overlap intensity exceeding the threshold are marked to obtain an overlap path intensity matrix; Among them, represents the path overlap intensity between task and task , represents the set of path points of task , on path segment , respectively represent the total number of path points of task , , respectively represent task , The starting time point, For the task , The distance difference between path segments, Represents the number of path segments, Is the path segment index number, Represents the numbered index of the task combination.

[0043] For example, when comparing the path point numbers of task A and task B in pairs, it is found that path points 14 and 15 are overlapping path points, a total of 2. Calculate the number of overlapping paths as 2. The total number of path points for task A is 7, and the total number of path points for task B is 6; Subsequently, the sub-module analyzes the proportion of overlapping path points. The calculation method is the ratio of the product of the number of overlapping path points and the square root of the total number of task path points: ; After that, calculate the difference in the starting time of the paths and the difference in the path segment distances between the two tasks respectively. The starting time of task A is 08:00, and the starting time of task B is 08:05. The difference in the starting time of the two tasks is 5 minutes; Then calculate the difference in the path segment distances. For example, the distance difference between path segment 1 of task A and task B is 3 meters, and the distance difference between path segment 2 is 4 meters. The total number of path segments is 2. Then the sum of the distance differences of all path segments is 3 + 4 = 7 meters; Subsequently, the sub-module calls the formula: ; The meanings of the parameters in the formula are: Represents the set of path points of task A on path segment c. For example, path segment 1 is [12, 13, 14, 15]; Is the set of path points of task B on path segment c. For example, path segment 1 is [14, 15, 19, 20]; , Are the number of path points 7, 6; , Respectively represent the starting time points of the tasks 08:00, 08:05, and the absolute value of the difference between the two is 5; Is the path segment distance difference. Path segment 1 is 3 meters, and path segment 2 is 4 meters; Then substitute the actual data for calculation to get: ; This result shows that the path overlap intensity of tasks A and B is 0.1082. According to the management experience of coal mine transportation tasks, set the path overlap intensity threshold to 0.10. Then this combination exceeds the threshold of 0.10 and is marked as a path conflict task combination and recorded in the overlapping path intensity matrix.

[0044] The task order adjustment sub-module extracts the task combinations with intensity exceeding the threshold according to the overlapping path intensity matrix, adjusts the task sorting and rearranges the scheduling order based on the task numbers with time shifted backward, and generates the task sorting result after conflict adjustment.

[0045] Extract task combinations where the path coincidence strength exceeds the threshold of 0.10 from the obtained coincidence path strength matrix, such as task A and B; then analyze the task numbers and task execution start times in the task combination, and implement the adjustment by the principle of moving the execution time of the task with a larger task number backward; for example, if task A has the number 1 and task B has the number 2, then postpone the start time of task B by 5 minutes from 08:05 and re - determine it as 08:10; subsequently, the sub - module rearranges the task execution order again, and the task sorting changes from the original [A(08:00), B(08:05), C(08:10)] to [A(08:00), C(08:10), B(08:10 moved to 08:15)], and the new scheduling order is rearranged accordingly, and finally the task sorting result after conflict adjustment [A→C→B] is generated.

[0046] Please refer to Figure 6 , the scheduling task distribution module includes: The scheduling path calculation sub - module calls the task sorting result after conflict adjustment, extracts the start and end point coordinate values and path node numbers, recombines the path numbers in combination with the sorting order identifier, matches according to the task node number and the path node position index, filters out continuous path sections and binds task numbers to generate a set of task path sequence numbers; Subsequently process by extracting the start point, end point coordinates and their path node numbers of each task in the task sequence one by one. Taking the task T1 from the coordinate point A(15, 20) to the coordinate point B(35, 50) as an example, the extracted task path node numbers are [1, 3, 5, 7, 9], and its sorting order is task serial number 1. By performing the sorting order identifier and node position index matching on these path node numbers, that is, mapping the path node number 1 to the sorting serial number 1 - 1, the node number 3 to the sorting serial number 1 - 2, and so on, to complete the recombination process of the sorting serial number and the node number, forming a dual identifier of the serial number and the node; then, by comparing the continuity of adjacent node numbers, the specific comparison action is whether the difference between the current node and the next node number is 1. If this condition is met, it is recorded as a continuous node section and bound to the current task number T1. If the difference is greater than 1, it is considered a new path section. For example, in the above task, after the continuity comparison of the path nodes [1, 3, 5, 7, 9], since the difference between the node numbers is 2, it means that the nodes are not continuous. Therefore, each node is used as a continuous path section separately and bound to T1 to form a total of 5 task path sections: T1 - 1, T1 - 2, T1 - 3, T1 - 4, T1 - 5. After the repeated execution of the above steps and the analysis and processing of each task one by one, a set of task path sequence numbers [T1 - 1, T1 - 2, T1 - 3, T1 - 4, T1 - 5] is finally generated.

[0047] The device matching determination sub-module calls the path node information in the task path sequence number set, obtains the bound device number and the running status identifier, calculates the device continuous operation matching degree value, compares it with the node continuous operation matching threshold, filters the matching device numbers, and generates the path node device matching coefficient; Call the path node information in the task path sequence number set [T1-1, T1-2, T1-3, T1-4, T1-5] one by one. For example, for the path section T1-1 corresponding to node number 1, the bound device number is device E101, and the called device real-time running status identifier is "idle"; for T1-2 corresponding to node number 3, the device number is device E203, and the device status identifier is "working". Then calculate the matching degree of the device and the node continuous operation. The execution method of this calculation action is: first obtain the device current operation time parameter (such as device E203 has accumulated 180 minutes of operation) and the estimated operation duration of the current task section (assuming the duration of section T1-2 is 30 minutes), and then calculate the ratio of the device continuous operation duration to the task duration, that is, 180 / 30 = 6.0. Define this value as the device continuous operation matching degree; then compare the calculated matching degree value with the node continuous operation matching threshold. The threshold is set to 4.0 (set by actually counting the device stable operation duration data. For example, when the device continuously operates for more than 120 minutes and the task duration is 30 minutes, the threshold = 120 / 30 = 4.0). At this time, the calculated value 6.0 is greater than the threshold 4.0, determine that device E203 does not match, execute the device screening action, screen out device E203 and search for a replacement device; through the above screening action of comparing each task path section one by one, obtain the effective matching device numbers. For example, the matching coefficient of device E101 in section T1-1 is 0.5 (running for 30 minutes / task for 60 minutes), retain the matching result, and complete the formation of the path node device matching coefficient.

[0048] The type field fusion sub-module extracts the device type field code and the path number according to the device number in the path node device matching coefficient, splices the device type field and the path node number, and locates them to the original task number to generate the task field fusion combination value; Based on the valid device number according to the path node device matching coefficient, such as device E101, the device type field code "TY07" (mining excavation device type) is obtained by calling through the device management database. Further, the current path number T1-1 is extracted, and the device type field code "TY07" and the path node number "1" are spliced to form a fusion combination value TY07-1. Subsequently, it is restored according to the original task number, and this fusion combination value is corresponding to the original task number T1, that is, the task field fusion combination value T1-TY07-1 is obtained; for other path nodes, for example, T1-3 corresponds to device E305, the device type field code "TY09", and the path node number is 5. After splicing, a fusion combination value TY09-5 is formed, and processed in turn to form a set of fusion combination values [T1-TY07-1, T1-TY09-5].

[0049] The instruction assembly output sub-module calls the task field fusion combination value, sorts it in ascending order according to the task number, adds an execution priority identifier, a scheduling trigger flag bit, and a timestamp identifier, jointly sets the output format field order according to the task number and writes it into the template structure to generate a mine network operation and maintenance scheduling instruction set.

[0050] After calling the task field fusion combination values [T1-TY07-1, T1-TY09-5], re-arrange them in ascending order according to the original task number T1. For each task fusion value such as T1-TY07-1, add an execution priority identifier item by item. For example, the execution priority identifier of task T1 is set to "high priority", then add a scheduling trigger flag bit with a set value of "1", and further call the actual timestamp identifier when the current task is completed. For example, the timestamp at the current processing completion moment is "1701234600" (in Unix timestamp form). Jointly with the original task number, re-set the output format order as: task number - fusion combination value - execution priority - trigger flag bit - timestamp, that is, form a specific instruction entry "T1-TY07-1-high priority-1-1701234600"; subsequently, write the above content into the scheduling template structure item by item. After performing the parameter mapping action of the template structure, the final mine network operation and maintenance scheduling instruction set is: [T1-TY07-1-high priority-1-1701234600, T1-TY09-5-high priority-1-1701234650].

[0051] A mine network operation and maintenance management method for coal mine development, the mine network operation and maintenance management method for coal mine development is executed based on the above-mentioned mine network operation and maintenance management system for coal mine development, and includes the following steps: S1: Obtain the location of the operation and maintenance unit and the coordinates of the task point, call the path segment length and the passing difficulty coefficient, sum the product of the path segment length and the passing difficulty coefficient and compare the time-consuming value to obtain the path time-consuming evaluation value; S2: Obtain the device temperature, voltage, and vibration parameters, perform interval judgment on each parameter with the corresponding risk threshold, assign values and perform weighted aggregation to obtain the device operation risk level value; S3: Call the time-consuming and risk data in the path time-consuming evaluation value and the device operation risk level value, perform normalization processing on the two items of data and judge the combined interval, mark the high-time-consuming and high-risk tasks as urgent, mark the low-time-consuming and low-risk tasks as slow execution, and sort the remaining tasks according to the weighted score, the number of task points, and the coverage range to obtain the scheduling task priority score value; S4: Call the task path point set in the scheduling task priority score value, perform path intersection extraction and coincidence segment statistics, mark the tasks with paths exceeding the threshold and move them backward in position to obtain the path coincidence conflict adjustment amount; S5: Call the sorted adjusted tasks in the path coincidence conflict adjustment amount, combine the task number, path point, device number, and task type fields to obtain the scheduling task parameter output amount.

[0052] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A mine network operation and maintenance management system for coal mine development, characterized in that: The system comprises: The path evaluation module obtains the location of the operation and maintenance unit and the coordinates of the task point, calls the length of the lane path segment and the difficulty of passage parameters, multiplies the two and then sums them, selects the path with the minimum time consumption, and generates the optimal passage path set for the task; The equipment status identification module obtains the temperature, voltage, and vibration parameters of the mining equipment at the task point, performs interval judgment on multiple data and risk thresholds, assigns values ​​and weighted summaries according to the results, screens abnormal equipment, and generates a list of risky equipment; The scheduling priority sorting module calls the optimal pass path set of the task and the path time consumption and equipment risk data in the risk equipment list, normalizes the time consumption and risk level and determines the combination interval. If both exceed the set threshold, it is marked as an urgent task; if both are lower, it is marked as a delayed execution task. The rest are adjusted and sorted according to the weighted score, the number of task points and the operation and maintenance coverage to generate a coal mine scheduling task priority sequence; The operation path conflict assessment module calls multiple task path point sets in the coal mine scheduling task priority sequence, performs path intersection to extract the number and proportion of overlapping segments, marks over-threshold tasks and performs position shifting, and generates task sorting results after conflict adjustment.

2. The mine network operation and maintenance management system for coal mine development according to claim 1, characterized in that: The optimal task path set includes path time value, path selection number, task point sequence information, and path difficulty identification; the risk equipment list includes equipment number identification, risk level score, abnormal indicator label, and equipment operation status identification; the coal mine scheduling task priority sequence includes task priority mark, normalized time value, normalized risk value, task point quantity assessment value, and operation and maintenance coverage factor; the task sorting result after conflict adjustment includes task sorting number, path overlap segment statistics, conflict identification label, and adjusted position identification.

3. The mine network operation and maintenance management system for coal mine development according to claim 2, characterized in that: The path passability assessment module includes: The location extraction submodule uses the longitude and latitude of the task point and the area number of the unit in the scheduling database based on the location of the operation and maintenance unit and the coordinates of the task point, selects the coordinate point pairs in the same scheduling area, and generates a task coordinate matching set; The path calculation and evaluation submodule calls the task coordinate matching concentrated coordinate point pairs, calculates the product of the path segment length and the difficulty of passage, the square root of the length difference and the square of the manual intervention, and then performs a weighted summation with the path smoothness rate and operation stability, using the formula: ； The path time consumption value between the task point and the unit point is obtained by calculation, and the path time consumption matrix is ​​obtained; in, Indicates the unit To the mission point The path travel time value, Indicates the unit With mission points Interval The length of the segment path, Indicates the difficulty of the path segment. Indicates the amount of manual intervention set on the path segment. represents the patency rate of the path segment, Indicates the running stability of the area where the path segment is located. Represents the total number of path segments, is the path segment index number, Represents the unit number index, Represents the task point number index; The optimal path screening submodule screens the path combination with the minimum travel time according to the multi-path time values ​​in the path travel time matrix, constructs the unit and task point travel sequence, and generates the optimal travel path set for the task.

4. The mine network operation and maintenance management system for coal mine development according to claim 3, characterized in that: The device status identification module comprises: The data acquisition submodule obtains the temperature, voltage, and vibration values ​​of the mining equipment at the task point, classifies and sorts them by equipment number, removes abnormal data, and obtains the parameter integration value; The interval judgment submodule calls three types of risk threshold intervals according to the parameter integration value, performs interval judgment and classification calculation on multiple types of parameters, and adopts the formula: ； The abnormal deviation of the parameters is obtained by calculation, and a weighted score is formed according to the deviation value and the sensitivity coefficient to obtain the risk deviation coefficient; in, Representative equipment The risk shift coefficient is Representative equipment In the parameters The observed value on Indicates the device In the parameters The central value of the risk threshold on For the The risk sensitivity coefficient of the class parameter, Indicates the device In the parameters The intensity of fluctuations on Represents the device number index, Represents parameter category index; The risk screening submodule sets screening limits according to the risk deviation coefficient, removes low deviation devices, summarizes the remaining devices and corresponding parameters, and generates a risky device list.

5. The mine network operation and maintenance management system for coal mine development according to claim 4, characterized in that: The scheduling priority sorting module includes: The path risk normalization submodule calls the optimal pass path set of the task and the path time consumption and equipment risk data in the risk equipment list, normalizes the path time consumption and equipment risk value respectively, obtains the normalized time consumption value and the normalized risk level value, establishes corresponding two-dimensional data points, and generates a path normalized risk data pair; The urgency judgment submodule determines whether the time-consuming threshold and the risk level threshold are exceeded at the same time according to the path normalized risk data pair, marks the urgency of the task, establishes three types of task labels, and generates task urgency classification labels; The priority sequence generation submodule calls the path normalization risk data pair of the intermediate task based on the task emergency classification label, and performs weighted calculation based on the number of task points and the operation and maintenance coverage value, using the formula: ； Obtain the comprehensive ranking score of the intermediate tasks through calculation, adjust the task order from high to low according to the score, and generate the priority sequence of coal mine scheduling tasks; in, Indicates intermediate tasks The comprehensive ranking score of For the task The normalized time consumption value of For the task The risk-normalized value of is the time-weighted index, is the risk-weighted index, Representative tasks The number of mission points, For the task The operation and maintenance coverage value of is the absolute value of the difference between the two, is the sum of the product of time and risk of all intermediate tasks, Represents the task number index, is the intermediate task set index, Represents the number of intermediate tasks.

6. The mine network operation and maintenance management system for coal mine development according to claim 5, characterized in that: The operation path conflict assessment module includes: The path point set extraction submodule calls the multi-task path point information based on the coal mine scheduling task priority sequence, extracts the path point number and time sequence data, constructs a structured path point set, and generates a path point number sequence set; The overlap segment identification submodule calls the path point number sequence set, compares the path points in pairs, calculates the number and proportion of overlap points, and uses the formula: ； The overlap strength values ​​of paths between multiple task combinations are obtained by operation. The combinations with overlap strength exceeding the threshold are marked, and the overlap path strength matrix is ​​obtained. in, Indicates the task With the task The overlap strength of the paths, Indicates the task , In the path segment The set of path points on , Represents tasks , The total number of path points, Represents tasks , The starting time point, For the task , The distance difference between path segments, Represents the number of path segments, is the path segment index number, A number index representing a task combination; The task sequence adjustment submodule extracts the task combination with intensity exceeding the threshold according to the overlapped path intensity matrix, adjusts the task sequence and rearranges the scheduling sequence based on the time-shifted task number, and generates the task sequence result after conflict adjustment.

7. The mine network operation and maintenance management system for coal mine development according to claim 6, characterized in that: The system further comprises: The scheduling task issuing module calls the task sorting result after the conflict adjustment, generates a scheduling parameter field combination including number, path, equipment and type for the task sorting content, assembles it into an output instruction, and generates a mine network operation and maintenance scheduling instruction set; The mine network operation and maintenance scheduling instruction set includes a scheduling task number, a travel path information, associated equipment information, and a scheduling task type label.

8. The mine network operation and maintenance management system for coal mine development according to claim 7, characterized in that: The scheduling task issuing module includes: The scheduling path calculation submodule calls the task sorting result after the conflict adjustment, extracts the starting and ending point coordinate values ​​and the path node numbers, reorganizes the path numbers in combination with the sorting order identifier, matches the task node numbers with the path node position indexes, screens the continuous path segments and binds the task numbers, and generates a task path sequence number set; The device matching determination submodule calls the path node information in the task path sequence number set, obtains the bound device number and the operation status identifier, calculates the device continuous operation matching value and compares it with the node continuous operation matching threshold, selects the matching device number, and generates the path node device matching coefficient; The type field fusion submodule extracts the device type field code and the path number according to the device number in the path node device matching coefficient, concatenates the device type field and the path node number, returns them to the original task number, and generates a task field fusion combination value; The instruction assembly output submodule calls the task field fusion combination value, arranges it in ascending order by task number, adds execution priority identification, scheduling trigger flag and timestamp identification, sets the output format field order according to the task number and writes it into the template structure to generate a mine network operation and maintenance scheduling instruction set.

9. A mine network operation and maintenance management method for coal mine development, characterized in that: The mine network operation and maintenance management system for coal mine development according to any one of claims 1 to 8 is implemented, comprising the following steps: S1: Obtain the location of the operation and maintenance unit and the coordinates of the task point, call the path segment length and the difficulty coefficient, sum the product of the path segment length and the difficulty coefficient and compare the time consumption values ​​to obtain the path time evaluation value; S2: Obtain the equipment temperature, voltage, and vibration parameters, perform interval judgment on each parameter and the corresponding risk threshold, assign values, and perform weighted aggregation to obtain the equipment operation risk level value; S3: calling the time consumption and risk data in the path time consumption evaluation value and the equipment operation risk level value, performing two-data normalization processing and determining the combined interval, marking high-time-consuming and high-risk tasks as urgent, marking low-time-consuming and low-risk tasks as delayed execution, and sorting the remaining tasks according to weighted scores, number of task points and coverage, and obtaining scheduling task priority score values; S4: calling the task path point set in the scheduling task priority score value, performing path intersection extraction and overlapping segment statistics, marking the over-threshold path tasks and moving them backward, and obtaining the path overlap conflict adjustment amount; S5: calling the adjusted task order in the path overlap conflict adjustment amount, combining the task number, path point, equipment number and task type field, and obtaining the scheduling task parameter output amount.

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