A mine-used intrinsically safe multi-mode cooperative control system

Abstract

The present application relates to the technical field of mine equipment safety control, in particular to a mine intrinsic safety type multi-mode collaborative control system. The system comprises a main controller, a sensor module, a voice alarm module and an equipment execution unit. The present application achieves the effect of precise prevention and control of major safety risks by setting hierarchical protection shielding function, and based on the dual determination mechanism of comprehensive risk coefficient and operation risk index, the system constructs a three-level protection system of early warning-alarm-emergency response. When detecting abnormal equipment temperature, speed overrun and other risks, the voice alarm is triggered first and emergency disposal time is reserved, and when the risk is upgraded to a system-level emergency state, non-critical protection functions are automatically shielded to avoid economic losses caused by full-line production stop, breaking through the limitations of traditional safety system one-size-fits-all parking, thereby significantly improving the intrinsic safety level of mine production.

Description

Technical Field

[0001] This invention relates to the field of safety control technology for mining equipment, and more specifically, to an intrinsically safe multi-mode collaborative control system for mining applications. Background Technology

[0002] Mining equipment refers to various types of machinery used in the exploration, mining, beneficiation, and transportation of mineral resources. It mainly includes mining equipment (such as excavators, drilling rigs, and loaders), transportation equipment (such as mining trucks, conveyor belts, and hoists), crushing and screening equipment (such as crushers and screening machines), beneficiation equipment (such as flotation machines and magnetic separators), and auxiliary equipment (such as ventilation and drainage equipment). With technological advancements, modern mining equipment is generally equipped with intelligent control systems. However, regardless of whether it is traditional manual control or modern intelligent control, safety issues cannot be ignored.

[0003] However, current mine equipment control systems have the following shortcomings: First, they are limited to a single mode. Existing systems typically only support remote centralized control or local manual operation, lacking multi-mode dynamic coordination capabilities and unable to automatically switch operating modes based on personnel location. Second, safety response is lagging. Traditional protection mechanisms rely on fixed thresholds to trigger emergency shutdowns, failing to implement tiered alarms and action delays, making them prone to production interruptions due to false triggers. Furthermore, human-machine interaction is weak, fault status display is not intuitive, voice alarms and equipment control are not deeply integrated, and non-critical protection functions (such as emergency stops) cannot be dynamically disabled in emergency situations.

[0004] To address the aforementioned problems, this invention proposes a multi-mode collaborative control system that integrates parameterized threshold determination, hierarchical protection mechanism, and human body sensing drive. Summary of the Invention

[0005] The purpose of this invention is to provide an intrinsically safe multi-mode collaborative control system for mining applications, in order to solve the problems of single mode, delayed safety response, and weak human-machine interaction mentioned in the background art.

[0006] To achieve the above objectives, the present invention aims to provide an intrinsically safe multi-mode collaborative control system for mining applications, the system comprising a main controller, a sensor module, a voice alarm module, and an equipment execution unit;

[0007] The sensor module includes a methane sensor, a speed sensor, a temperature sensor, a human body sensor, and a vibration sensor, which are used to collect data in real time through each sensor and send the data to the main controller.

[0008] The main controller is used to set the corresponding thresholds and calculate the comprehensive risk coefficient based on the data collected by the sensor module. and the comprehensive risk coefficient The system compares the data with a set threshold, triggering corresponding security measures. Specifically:

[0009] Preset security risk threshold and voice alarm delay threshold ;

[0010] Combining the data collected by the sensor module, and according to the formula Calculate the comprehensive risk coefficient ,in, This is the real-time value of methane concentration. The preset upper limit for methane concentration, This is the real-time temperature value of the equipment. The preset reference temperature, The preset upper temperature limit, This is the real-time value of the device speed. The preset rated speed of the equipment, , and For the weighting coefficients, satisfying ;

[0011] The calculated comprehensive risk coefficient With preset security risk threshold To make a comparison, if > If the device enters a high-risk state, a voice control command is triggered to the voice alarm module, and a stop command is triggered to the device execution unit. The device execution unit then performs a delay. The equipment will stop in seconds;

[0012] The voice alarm module is used to receive voice control commands sent by the main controller and trigger corresponding voice alarm operations.

[0013] The device execution unit is used to receive the stop command sent by the main controller and trigger the corresponding device stop operation.

[0014] As a further improvement to this technical solution, the main controller is configured with three operating modes:

[0015] A. Remote centralized control mode: The equipment is triggered by an industrial computer or human body sensor to start and stop according to a preset delay sequence;

[0016] Real-time monitoring of equipment start-up and shutdown processes Value, when > The interrupt sequence is executed to stop the machine;

[0017] B. Local Mode: Continuous Operation – Manual continuous control of equipment operation; Intermittent Operation – Triggered by a human body sensor to refresh the countdown timer. ,in, Based on, The number of people within the sensing area;

[0018] C. Manual Mode: Supports independent start / stop and parameter adjustment for a single device, including safety risk thresholds. The adjusted parameters are updated in real time.

[0019] As a further improvement to this technical solution, the main controller is also used to, after determining that the device has entered a high-risk state, determine the risk level based on a comprehensive risk coefficient. Calculate the operational risk index And preset the threshold for graded protection shielding levels. The operating risk index will be implemented. With respect to the threshold of graded protection shielding level A comparison is performed, triggering the corresponding graded protection and shielding functions. Specifically:

[0020] Preset graded protection shielding level threshold ;

[0021] According to the formula Calculate the operational risk index ,in, For the first The overall risk coefficient of the equipment. The preset maximum permissible comprehensive risk coefficient for the system. Assign weights to equipment safety levels;

[0022] The calculated operational risk index With respect to the preset graded protection shielding level threshold To make a comparison, if > If this occurs, the device is determined to be in an emergency state, and the graded protection shielding function is activated.

[0023] As a further improvement to this technical solution, the system also includes a permission-level touchscreen, through which the main controller implements the following functions:

[0024] A. Dynamic monitoring interface: Displays the status of equipment along the line using three-color indicator lights.

[0025] green: ≤0.7 Marked as normal;

[0026] Yellow: 0.7 < ≤ Mark as a warning;

[0027] red: > The device is marked as exceeding the limit, and the red indicator light will flash when the device is determined to be in an emergency state.

[0028] B. Fault History Storage and Query: Recorded by timestamp Log of over-limit events and protection actions;

[0029] C. When the device is determined to be in an emergency state, it is automatically marked as an emergency event;

[0030] D. Voice alarm priority control: The alarm signal interrupts the background music and activates the call.

[0031] As a further improvement to this technical solution, the graded protection shielding function includes:

[0032] Non-emergency stop protection functions such as speed over-limit and temperature warning are disabled;

[0033] The red indicator light on the permission-based touchscreen flashes and displays that permission-based protection is activated.

[0034] A notification that protection shielding has been enabled will be broadcast via the voice alarm module.

[0035] As a further improvement to this technical solution, the voice alarm delay threshold A dynamic adjustment strategy is adopted for real-time updates, specifically:

[0036] Preset reference delay And collect the comprehensive risk coefficient obtained from the previous calculation. ;

[0037] According to the formula Calculate the voice alarm delay threshold ,in, It is an environmental correction factor.

[0038] As a further improvement to this technical solution, the environmental correction factor The calculation method is as follows:

[0039] Real-time acquisition of methane concentration values ​​collected by methane sensors and the real-time temperature value of the device collected by the temperature sensor. ;

[0040] According to the formula Calculate the risk value associated with methane concentration. ,in, The early warning coefficient satisfies 0 < ≤1, used to trigger risk calculation in advance;

[0041] According to the formula Calculate temperature-related risk values ,in, This is the optimal temperature reference value. This represents the tolerance range for temperature changes, indicating the size of the tolerance range, i.e., the width of the interval;

[0042] According to the formula Calculate the interaction term between methane and temperature. ,in, The interaction strength coefficient is 25, which represents the reference temperature, the ideal operating temperature, and 40 represents the temperature normalization coefficient, used to control the numerical range.

[0043] Combined with methane concentration-related risk values Temperature-related risk values and the interaction term between methane and temperature According to the formula Calculate the environmental correction factor ,in This is the overall adjustment coefficient. The weight of the methane factor, ;

[0044] According to the formula Environmental correction factors Limit the result to a range, restricting the final result to that range. Inside.

[0045] As a further improvement to this technical solution, the system also includes an equipment health prediction module, which is used to collect equipment vibration spectrum data through vibration sensors and combine it with temperature sensor data to predict equipment failure risks, specifically:

[0046] Establish vibration characteristic vectors ,in, Main fault frequency, This is the effective value of vibration. This is the kurtosis coefficient. Indicates the current time;

[0047] Preset fault threshold vector And according to the formula Calculate the equipment degradation index ,in, Let the initial health state vector be... The distance between the current vibration characteristics and the initial healthy state is represented by the Euclidean distance, reflecting the degree of deviation of the equipment from its current state. The norm of the fault threshold vector is used to normalize the degradation index;

[0048] when When the value is greater than 0.8, an orange warning icon will be displayed on the access control touchscreen, and the device operating speed will be reduced to 70% of the rated value.

[0049] As a further improvement to this technical solution, the system also includes an emergency guidance module, which is activated when the equipment is determined to enter an emergency state. The emergency guidance module includes an explosion-proof lighting unit and an acoustic wave directional unit.

[0050] The explosion-proof lighting unit is used to project a red warning light strip along the equipment's operating path;

[0051] The acoustic wave directional unit is used to generate a 20kHz directional acoustic beam pointing towards the safety exit.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0053] 1. In this intrinsically safe multi-mode collaborative control system for mining, the system achieves precise prevention and control of major safety risks by setting up graded protection and shielding functions. Based on the dual judgment mechanism of comprehensive risk coefficient and operational risk index, the system constructs a three-level protection system of early warning, alarm and emergency response. When risks such as abnormal equipment temperature or speed exceeding the limit are detected, the system first triggers a voice alarm and reserves emergency response time. When the risk escalates to a system-level emergency state, non-critical protection functions are automatically shielded to avoid economic losses caused by a complete shutdown. This breaks through the limitation of the traditional safety system's one-size-fits-all shutdown, thereby significantly improving the intrinsic safety level of mine production.

[0054] 2. This intrinsically safe, multi-mode collaborative control system for mining achieves flexible adaptation to complex mining conditions through a multi-mode collaborative control mechanism. By integrating remote centralized control, local operation, and manual control modes, the system can dynamically switch control strategies according to the actual needs of the mine. In remote centralized control mode, equipment automatically starts and stops according to a preset delay sequence, significantly reducing the intensity of manual intervention. The local mode, combined with human body sensing technology, enables intelligent control that automatically activates equipment when personnel approach and delays shutdown when they leave, effectively improving operational safety. The manual mode supports independent operation of single equipment, providing precise control capabilities for special working conditions. This multi-mode collaborative architecture completely solves the problems of single mode and poor adaptability in traditional mining equipment control systems, improving the control efficiency of key links such as transportation, crushing, and ventilation, while also reducing the accident rate due to misoperation.

[0055] 3. In this intrinsically safe multi-mode collaborative control system for mining, the system achieves dynamic optimization of emergency response by setting environmental adaptive alarms. It integrates methane concentration, equipment temperature, and environmental parameters to calculate and construct a dynamic alarm delay adjustment model. Under high-risk conditions such as a sudden increase in methane concentration or equipment overheating, the system automatically shortens the alarm response time. Under safe conditions such as low temperature and dryness, the system appropriately extends the handling window for manual intervention, thereby reducing the false alarm rate and ensuring the timeliness of emergency response in high-risk environments, avoiding the response lag problem caused by fixed delay mechanisms.

[0056] 4. In this intrinsically safe multi-mode collaborative control system for mining, by setting up an equipment health prediction module, the system can achieve the effect of predictive maintenance of key equipment. Based on the coupled analysis of vibration spectrum and temperature data, the system can predict the risk of equipment failure in advance, thereby reducing the rate of sudden equipment failure and shortening the maintenance response time to the golden handling window before the failure occurs, thus significantly improving the mine's continuous production capacity.

[0057] 5. In this intrinsically safe multi-mode collaborative control system for mining, an intelligent emergency guidance system is set up to achieve efficient evacuation in emergency situations. When the system determines that it has entered an emergency state, it automatically activates a dual guidance mechanism of explosion-proof lighting and sound wave direction. The red warning light strip extends dynamically along the equipment running path to mark the safety passage for personnel. The 20kHz directional sound wave beam penetrates 85dB background noise and accurately guides the escape direction, solving the problems of unintuitive guidance methods and unscientific escape routes in traditional mine emergency systems. Attached Figure Description

[0058] Figure 1 This is a schematic diagram of the module interaction of the intrinsically safe multi-mode collaborative control system for mining applications of the present invention.

[0059] Figure 2 This is a schematic diagram of the risk status determination process for the intrinsically safe multi-mode collaborative control system for mining applications of the present invention. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] In one specific embodiment, such as Figure 1As shown, this invention provides an intrinsically safe multi-mode collaborative control system for mining applications, applied to intelligent control mining equipment systems. The system includes a sensor module, a main controller, a voice alarm module, equipment execution units, a permission-based touchscreen, an equipment health prediction module, and an emergency guidance module. The functions of each module are as follows:

[0062] The sensor module includes a methane sensor, a speed sensor, a temperature sensor, a human body sensor, and a vibration sensor, which are used to collect data in real time through each sensor and send the data to the main controller.

[0063] The main controller is used to set the corresponding thresholds and calculate the comprehensive risk coefficient based on the data collected by the sensor modules. and the comprehensive risk coefficient The system compares the data with a set threshold and triggers corresponding security measures.

[0064] The main controller is also configured with three operating modes:

[0065] A. Remote centralized control mode: The equipment is triggered by an industrial computer or human body sensor to start and stop according to a preset delay sequence;

[0066] Real-time monitoring of equipment start-up and shutdown processes Value, when > The interrupt sequence execution stops the conveyor belt, and the remote centralized control mode improves the start-stop efficiency of the conveyor belt sequence.

[0067] B. Local Mode: Continuous Operation – Manual continuous control of equipment operation; Intermittent Operation – Triggered by a human body sensor to refresh the countdown timer. ,in, Based on, To detect the number of people in the area, the local mode uses human body sensing to start the equipment when a person arrives and to stop the equipment after a delay when a person leaves, thus reducing the accident rate of misoperation.

[0068] C. Manual Mode: Supports independent start / stop and parameter adjustment for a single device, including safety risk thresholds. The adjusted parameters are updated in real time, and the manual mode supports fine-tuning of single-device parameters to meet the precise control needs of special working conditions such as crushers.

[0069] The voice alarm module is used to receive voice control commands sent by the main controller and trigger corresponding voice alarm operations.

[0070] The equipment execution unit is used to receive the stop command sent by the main controller and trigger the corresponding equipment stop operation.

[0071] The main controller implements the following functions through a permission-based touchscreen:

[0072] A. Dynamic monitoring interface: Displays the status of equipment along the line using three-color indicator lights.

[0073] green: ≤0.7 Marked as normal;

[0074] Yellow: 0.7 < ≤ Mark as a warning;

[0075] red: > The device is marked as exceeding the limit, and the red indicator light will flash when the device is determined to be in an emergency state.

[0076] B. Fault History Storage and Query: Recorded by timestamp Log of over-limit events and protection actions;

[0077] C. When the device is determined to be in an emergency state, it is automatically marked as an emergency event;

[0078] D. Voice alarm priority control: The alarm signal interrupts the background music and activates the call.

[0079] The equipment health prediction module is used to collect vibration spectrum data of equipment through vibration sensors and combine it with temperature sensor data to predict the risk of equipment failure.

[0080] The emergency guidance module is activated when the equipment is determined to be in an emergency state, and includes an explosion-proof lighting unit and an acoustic directional unit;

[0081] The explosion-proof lighting unit is used to project a red warning light strip along the equipment's operating path;

[0082] The acoustic wave directional unit is used to generate a 20kHz directional acoustic beam pointing towards the safety exit.

[0083] like Figure 2 As shown, in specific applications:

[0084] The first step is to collect data through the methane sensor, speed sensor, temperature sensor, human body sensor, and vibration sensor in the sensor module, and then send the data to the main controller.

[0085] The second step is to preset security risk thresholds through the main controller. and voice alarm delay threshold Among them, the voice alarm delay threshold A dynamic adjustment strategy is adopted for real-time updates, specifically:

[0086] Preset reference delay And collect the comprehensive risk coefficient obtained from the previous calculation. ;

[0087] According to the formula Calculate the voice alarm delay threshold ,in, Environmental correction factor.

[0088] Among them, environmental correction factors The calculation method is as follows:

[0089] Real-time acquisition of methane concentration values ​​collected by methane sensors and the real-time temperature value of the device collected by the temperature sensor. ;

[0090] According to the formula Calculate the risk value associated with methane concentration. ,in, The early warning coefficient satisfies 0 < ≤1 is used to trigger risk calculations in advance when the methane concentration exceeds the warning threshold. When the risk value is 1.2, it decreases linearly; otherwise, the default risk value is 1.0 (baseline safety status).

[0091] According to the formula Calculate temperature-related risk values ,in, This is the optimal temperature reference value. The tolerance range for temperature changes represents the size of the tolerance range, i.e., the width of the interval. The risk value starts from a baseline of 1.3 and decreases linearly as the temperature deviates from the optimal value. The greater the deviation, the lower the risk value (reflecting the suppression of methane risk by low or high temperatures).

[0092] According to the formula Calculate the interaction term between methane and temperature. ,in, The interaction strength coefficient is 25, which represents the reference temperature, the ideal operating temperature, and 40 represents the temperature normalization coefficient, used to control the numerical range.

[0093] Combined with methane concentration-related risk values Temperature-related risk values and the interaction term between methane and temperature According to the formula Calculate the environmental correction factor ,in This is the overall adjustment coefficient. The weight of the methane factor, ;

[0094] According to the formula Environmental correction factors Limit the result to a range, restricting the final result to that range. Internally, this dynamic threshold adjustment mechanism enables environmentally adaptive alarm functionality. By calculating an environmental correction factor through the interaction between methane concentration and temperature, the system automatically shortens the response time under high-temperature, high-methane conditions, while extending the response time under low-temperature, dry conditions. This reduces false alarm rates while ensuring timely response to high-risk situations.

[0095] The third step is to combine the data collected by the sensor module with the formula. Calculate the comprehensive risk coefficient ,in, This is the real-time value of methane concentration. The preset upper limit for methane concentration, This is the real-time temperature value of the equipment. The preset reference temperature, The preset upper temperature limit, This is the real-time value of the device speed. The preset rated speed of the equipment, , and Let be the weighting coefficient, satisfying .

[0096] Step 4: Calculate the comprehensive risk coefficient. With preset security risk threshold To make a comparison, if > If so, the equipment is determined to be in a high-risk state.

[0097] Step 5: Trigger the voice control command to the voice alarm module, and trigger the corresponding voice alarm operation through the voice alarm module.

[0098] Step 6: Trigger a stop command to the equipment execution unit. The equipment execution unit will then execute the command after a delay. The equipment will stop after a few seconds.

[0099] Step 7: After determining that the equipment has entered a high-risk state, the main controller presets the threshold for graded protection shielding levels. .

[0100] And according to the formula Calculate the operational risk index ,in, For the first The overall risk coefficient of the equipment. The preset maximum permissible comprehensive risk coefficient for the system. Weights for equipment safety levels.

[0101] Step 8: Calculate the operational risk index With respect to the preset graded protection shielding level threshold To make a comparison, if > If the system detects an emergency, it determines that the equipment has entered an emergency state and activates the graded protection shielding function. This function overcomes the limitations of the traditional system's one-size-fits-all shutdown. When the operational risk index exceeds the threshold, only non-emergency stop protections such as speed over-limit and temperature warning are shielded, while core protections such as methane over-limit are retained. This allows the production line to maintain partial capacity operation, reducing economic losses compared to a complete shutdown. Specifically:

[0102] Non-emergency stop protection functions such as speed over-limit and temperature warning are disabled;

[0103] The red indicator light on the permission-based touchscreen flashes and displays that permission-based protection is activated.

[0104] A notification that protection shielding has been enabled will be broadcast via the voice alarm module.

[0105] Step 9: Once the equipment is determined to be in an emergency, a red warning light strip is projected along the equipment's operating path via the explosion-proof lighting unit. Simultaneously, a 20kHz directional sound beam is generated by the sound wave directional unit, pointing towards the safety exit. The red light strip is visible for up to 50 meters in an 85dB noise environment. Combined with the 20kHz directional sound beam (beyond the range of human hearing but detectable through bone conduction), this improves guidance efficiency and shortens evacuation time.

[0106] Step 10: The system can also predict equipment failure risks through the equipment health prediction module. By coupling vibration spectrum and temperature data analysis, it can predict failure risks in advance when the degradation index Dd > 0.8, extending the maintenance response time beyond the traditional passive maintenance golden window, thereby reducing the rate of sudden equipment failures. Specifically:

[0107] Establish vibration characteristic vectors ,in, Main fault frequency, This is the effective value of vibration. This is the kurtosis coefficient. Indicates the current time;

[0108] Preset fault threshold vector And according to the formula Calculate the equipment degradation index ,in, Let the initial health state vector be... The distance between the current vibration characteristics and the initial healthy state is represented by the Euclidean distance, reflecting the degree of deviation of the equipment from its current state. The norm of the fault threshold vector is used to normalize the degradation index, which is the equipment degradation index. A higher value indicates a worse health condition of the device;

[0109] when When the value is greater than 0.8, an orange warning icon will be displayed on the access control touchscreen, and the device operating speed will be reduced to 70% of the rated value.

[0110] In summary, this invention significantly improves the safety and operational efficiency of mining equipment through an innovative design of a multi-mode collaborative control and intelligent safety protection system. A comprehensive risk coefficient is constructed based on parameters such as methane concentration, temperature, and speed, achieving three levels of protection: early warning, alarm, and emergency response. When the risk index exceeds limits, non-critical protection functions (such as speed / temperature warnings) are prioritized for shutdown, while the core emergency stop function is retained to avoid a complete production stoppage and maintain partial production capacity in emergency situations, thereby reducing daily economic losses. Simultaneously, it integrates three modes: remote centralized control, local sensing, and manual control. In remote mode, the efficiency of equipment sequence start-up and shutdown is improved, while in local mode, human body sensing enables equipment to start upon human presence and stop with a delay upon departure, reducing the rate of accidental misoperation. Furthermore, through coupled analysis of vibration spectrum and temperature data, equipment failures can be predicted in advance, shortening maintenance response time to the golden window and reducing the rate of sudden failures. In addition, activating a red light strip and 20kHz directional sound waves in emergency situations shortens evacuation time and significantly improves escape efficiency.

[0111] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A mining intrinsically safe multi-mode collaborative control system, characterized in that, The system includes a main controller, a sensor module, a voice alarm module, and a device execution unit; The sensor module includes a methane sensor, a speed sensor, a temperature sensor, a human body sensor, and a vibration sensor, which are used to collect data in real time through each sensor and send the data to the main controller. The main controller is used to set corresponding thresholds, calculate a comprehensive risk coefficient Rc based on data collected by the sensor module, compare the comprehensive risk coefficient Rc with the set thresholds, and trigger corresponding safety protection measures. Specifically: Preset security risk threshold α and voice alarm delay threshold β; Combining the data collected by the sensor module, and according to the formula Calculate the comprehensive risk coefficient Rc, where M is the real-time value of methane concentration. max T is the preset upper limit of methane concentration, T is the real-time value of the equipment temperature, T0 is the preset reference temperature, and T... max V is the preset upper temperature limit, and V is the real-time value of the equipment speed. r The preset rated speed of the equipment is given by ω1, ω2 and ω3, which are weighting coefficients that satisfy ω1+ω2+ω3=1; The calculated comprehensive risk coefficient Rc is compared with the preset safety risk threshold α. If Rc > α, the device is determined to be in a high-risk state. At the same time, a voice control command is triggered to the voice alarm module, and a stop command is triggered to the device execution unit. The device execution unit stops the device after a delay of β seconds. The voice alarm module is used to receive voice control commands sent by the main controller and trigger corresponding voice alarm operations; The device execution unit is used to receive the stop command sent by the main controller and trigger the corresponding device stop operation; The voice alarm delay threshold β is updated in real time using a dynamic adjustment strategy. Specifically: Set a baseline delay β0 and collect the comprehensive risk coefficient Rc obtained from the previous calculation; According to the formula Calculate the voice alarm delay threshold β, where Q is the environmental correction factor; The calculation method for the environmental correction factor Q is as follows: The system acquires the real-time methane concentration value M collected by the methane sensor and the real-time equipment temperature value T collected by the temperature sensor. According to the formula Calculate the methane concentration-related risk value Qmethane, where η is the early warning coefficient, satisfying 0<η≤1, used to trigger risk calculation in advance; According to the formula Calculate the temperature-related risk value Qtemperature, where Ttemperature opt As the optimal temperature reference value, T range This represents the tolerance range for temperature changes, indicating the size of the tolerance range, i.e., the width of the interval; According to the formula Calculate the interaction term ΔQ interaction between methane and temperature, where λ is the interaction strength coefficient, 25 represents the reference temperature (ideal operating temperature), and 40 represents the temperature normalization coefficient used to control the numerical range. This involves combining the methane concentration-related risk value Qmethane, the temperature-related risk value Qtemperature, and the interaction term ΔQ between methane and temperature. 交互 According to the formula Calculate the environmental correction factor Q; According to the formula The environmental correction factor Q is constrained to a range, limiting the final result to the range [0.5, 1.2].

2. The intrinsically safe multi-mode collaborative control system for mining as described in claim 1, characterized in that, The main controller is configured with three operating modes: A. Remote centralized control mode: The equipment is triggered by an industrial computer or human body sensor to start and stop according to a preset delay sequence; The Rc value is monitored in real time during the equipment start-up and shutdown process. When Rc > α, the interrupt sequence is executed to stop the equipment. B. Local Mode: Continuous Operation – Manual continuous control of equipment operation; Intermittent Operation – Triggered by a human body sensor, refreshing the countdown timer T. refresh = K×N, where K is the base and N is the number of people in the sensing area; C. Manual mode: Supports independent start / stop and parameter adjustment for a single device. The parameters include a safety risk threshold α, and the adjusted parameters are updated in real time.

3. The intrinsically safe multi-mode collaborative control system for mining as described in claim 1, characterized in that, The main controller is also used to calculate the operational risk index Ri based on the comprehensive risk coefficient Rc after determining that the equipment has entered a high-risk state, and to preset the graded protection shielding level threshold γ. It then compares the operational risk index Ri with the graded protection shielding level threshold γ to trigger the corresponding graded protection shielding function. Specifically: Preset graded protection shielding level threshold γ; According to the formula Calculate the operational risk index Ri, where Rc i Let Rc be the comprehensive risk coefficient of the i-th device. max K is the preset maximum permissible comprehensive risk coefficient of the system. i Assign weights to equipment safety levels; The calculated operational risk index Ri is compared with the preset graded protection shielding level threshold γ. If Ri > γ, the equipment is determined to be in an emergency state, and the graded protection shielding function is activated.

4. A mining intrinsically safe multi-mode collaborative control system according to claim 3, characterized in that, The system also includes a permission-level touchscreen, through which the main controller performs the following functions: A. Dynamic monitoring interface: Displays the status of equipment along the line using three-color indicator lights. Green: Rc≤0.7α, marked as normal; Yellow: 0.7α<Rc≤α, marked as a warning; Red: Rc > α, marked as exceeding the limit, the red indicator light flashes when the device is determined to be in an emergency state; B. Fault History Storage and Query: Records Rc over-limit events and protection action logs by timestamp. C. When the device is determined to be in an emergency state, it is automatically marked as an emergency event; D. Voice alarm priority control: The alarm signal interrupts the background music and activates the call.

5. A mining intrinsically safe multi-mode collaborative control system according to claim 4, characterized in that, The graded protection shielding function includes: Non-emergency stop protection functions such as speed over-limit and temperature warning are disabled; The red indicator light on the permission-based touchscreen flashes and displays that permission-based protection is activated. A notification that protection shielding has been enabled will be broadcast via the voice alarm module.

6. A mining intrinsically safe multi-mode collaborative control system according to claim 1, characterized in that, The system also includes an equipment health prediction module, used to collect equipment vibration spectrum data through vibration sensors and combine it with temperature sensor data to predict equipment failure risks. Specifically: Establish a vibration feature vector W = [f, A, L]T, where f is the main fault frequency, A is the effective value of vibration, L is the kurtosis coefficient, and T represents the current time; Preset fault threshold vector W fail And according to the formula Calculate the equipment degradation index Dd, where W0 is the initial health state vector, e is the base of the natural logarithm, T0 represents the initial time, i.e. the starting point when the equipment is used or evaluated, and 50 is a constant used to adjust the rate of the exponential part of the exponential function e. When Dd > 0.8, an orange warning icon will be displayed on the permission-level touchscreen, and the device operating speed will be reduced to 70% of the rated value.

7. A mining intrinsically safe multi-mode collaborative control system according to claim 1, characterized in that, The system also includes an emergency guidance module, which is activated when the equipment is determined to be in an emergency state. The emergency guidance module includes an explosion-proof lighting unit and a sound wave directional unit. The explosion-proof lighting unit is used to project a red warning light strip along the equipment's operating path; The acoustic wave directional unit is used to generate a 20kHz directional acoustic beam pointing towards the safety exit.

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