Low-power-consumption lock control management method and system for mining equipment

Abstract

The invention relates to the technical field of equipment control, in particular to a low-power-consumption lock control management method and system for mining equipment. The method comprises the following steps: receiving a trigger broadcast signal sent by an upstream lock controller, analyzing a trigger moment and position information of the upstream lock controller according to the trigger broadcast signal, and determining a time dimension index according to the trigger moment and the position information; acquiring the historical cumulative total scanning times of the current lock control, and determining an energy budget coefficient of the lock control according to the historical cumulative total scanning times; determining a mapping value according to the time dimension index; determining the instantaneous scanning frequency of the lock control at the current moment by using the energy budget coefficient, the basic frequency, the mapping value and a preset time window width parameter; and according to the instantaneous scanning frequency, determining a target dormancy duration before the next wake-up, so as to control the operation of the lock control according to the dormancy duration. By means of the technical scheme, low-power-consumption management of lock control of the mining equipment can be achieved.

Description

Technical Field

[0001] This application relates to the field of equipment control technology, and in particular to a low-power locking and control management method and system for mining equipment. Background Technology

[0002] In modern mine construction, in order to ensure production safety and control access to core areas, electronic lock control devices are usually deployed at key nodes such as underground substations, refuge chambers, and inspection instrument boxes. These lock control devices are usually battery powered, and due to the special nature of the underground environment, such as high gas or high dust, replacing batteries is extremely cumbersome and poses safety hazards. Therefore, it is necessary to minimize power consumption and extend battery life while ensuring that the lock control device can respond to the unlocking requests of legitimate users in a timely manner.

[0003] In related technologies, mining lock control devices typically use a fixed-cycle intermittent scanning method to detect surrounding unlocking signals such as RFID (Radio Frequency Identification) cards or Bluetooth signals. This method requires the lock control device to wake up the radio frequency receiving circuit at a fixed frequency, such as once per second.

[0004] However, the flow of people in underground tunnels is highly uncertain and sparse. For most of the time, no one passes by the lock control device. Frequent wake-up and scanning of the lock control device not only fails to obtain effective signals, but also consumes a lot of power, resulting in excessive ineffective power consumption. If the sleep time is simply extended in order to save power, the lock control device may not be able to capture the unlock signal in time when the inspection personnel pass by because it is in a deep sleep state, resulting in missed scans or delayed door opening, which affects the efficiency of underground operations and even the speed of emergency rescue.

[0005] Therefore, there is an urgent need for a lock management method that can dynamically adjust the working status based on the likelihood of personnel arrival, while ensuring response speed and significantly reducing power consumption of invalid scans. Summary of the Invention

[0006] To achieve low-power management of locking and control of mining equipment, this application provides a low-power locking and control management method and system for mining equipment.

[0007] According to a first aspect of the embodiments of this application, a low-power locking and control management method for mining equipment is provided, comprising: receiving a trigger broadcast signal sent by an upstream locking and control; parsing the trigger time and the location information of the upstream locking and control according to the trigger broadcast signal, and obtaining pre-stored topology distance parameters; determining distance information according to the location information of the upstream locking and control and the topology distance parameters; determining a time dimension index according to the trigger time and the distance information; the time dimension index is used to characterize the degree of deviation of the current time from the expected arrival time of the inspection personnel; obtaining the historical cumulative total number of scans of the current locking and control; determining the energy budget coefficient of the locking and control according to the historical cumulative total number of scans, the maximum total number of scans, and the attenuation control index; determining a mapping value according to the time dimension index and a preset correspondence; the preset correspondence is constructed based on a standard normal distribution and is used to characterize the relationship between the time dimension index and the mapping value; determining the instantaneous scanning frequency of the locking and control at the current time using the energy budget coefficient, the base frequency, the mapping value, and a preset time window width parameter; determining the target sleep duration before the next wake-up according to the instantaneous scanning frequency, so as to control the operation of the locking and control according to the sleep duration.

[0008] This enables low-power management of the locking and control of mining equipment.

[0009] Optionally, based on the trigger time and distance information, determine the time dimension index, including: ,in, Indexed by time dimension, Let be a logarithmic function with the natural constant as the base. This is the timestamp information for the current moment. For the timestamp information of the trigger time, This refers to the path parameter, which is the logarithm of the ratio of distance information to the historical average movement speed. The preset velocity dispersion parameter.

[0010] In this way, using a log-normal distribution model to fit the travel time of personnel underground can more accurately reflect the non-negativity and long-tail distribution characteristics of personnel movement speed compared to traditional linear prediction models. This makes the calculated time dimension index more consistent with actual physical laws and improves the accuracy of prediction.

[0011] Optionally, the method further includes: after the lock successfully completes an unlocking operation, recording the actual timestamp of the unlocking time; calculating the actual passage time based on the difference between the actual timestamp and the triggering time; and updating the path parameters using a weighted moving average algorithm with a preset forgetting factor, the logarithm of the actual passage time, and the currently stored path parameters.

[0012] In this way, the path parameters can be adjusted in real time according to changes in the tunnel environment, such as slow speed due to muddy road surface, ensuring that the prediction model always matches the current actual working conditions.

[0013] Optionally, the energy budget factor for the interlocking is determined in the following way: ,in, To lock the energy budget factor at the current moment, This is the baseline energy budget value for the lock in its initial state. The total number of historical scans for the lock. This represents the maximum total number of scans that the lock can handle. This is the preset attenuation control index.

[0014] In this way, through non-linear decay control, the locking device exhibits different power consumption strategies at different stages of its life cycle. When the battery is fully charged, it allows for more aggressive scanning to improve the user experience, and automatically enters a conservative mode before the battery is depleted, thus avoiding sudden power outages of the locking device.

[0015] Optionally, the instantaneous scanning frequency of the lock at the current moment is determined using the energy budget coefficient, the base frequency, the mapping value, and a preset time window width parameter, including: ,in, To control the instantaneous scan frequency at the current moment, Based on the base frequency, To lock the energy budget factor at the current moment, This is the time window width parameter. This is the mapped value.

[0016] Optionally, determining the target sleep duration before the next wake-up based on the instantaneous scanning frequency includes: determining the reciprocal of the instantaneous scanning frequency, multiplying the reciprocal by a unit conversion factor, and rounding down the result of the multiplication to obtain the target sleep duration before the next wake-up.

[0017] Optionally, the method further includes: continuously monitoring environmental vibrations through a vibration sensor, and, in the absence of receiving a trigger broadcast signal from the upstream lock control, increasing the instantaneous scanning frequency to a preset high-frequency state and maintaining it for a preset duration in response to environmental vibrations matching the footstep characteristics of a preset person.

[0018] In this way, by using a vibration sensor as a trigger source, the locking device can still activate scanning by sensing physical vibration in extreme cases such as upstream equipment failure or communication link interruption.

[0019] Optionally, the method further includes: detecting the instantaneous voltage of the power supply battery of the lock control when the lock control is woken up; if it is determined that the instantaneous voltage is lower than a preset safety threshold, controlling the lock control to operate at the base frequency until the instantaneous voltage recovers to above the safety threshold.

[0020] Optionally, the method further includes: when multiple trigger broadcast signals from different upstream locks are received within a preset time window, calculating the corresponding mapping value for each trigger broadcast signal; selecting the largest candidate mapping value from all mapping values, and determining the candidate mapping value as the mapping value used to calculate the instantaneous scanning frequency.

[0021] In this way, at intersections or convergence points of multiple paths, the probability of people arriving from different directions can be comprehensively considered, and the frequency can always be adjusted based on the target that is most likely to arrive, thus avoiding strategy conflicts caused by interference from multiple signals.

[0022] Optionally, the method further includes: after the lock successfully identifies a valid unlocking authorization card, generating a new trigger broadcast signal, the new trigger broadcast signal containing the current time and the current location information of the lock; sending the new trigger broadcast signal through the radio frequency communication module to trigger the lock control device of the downstream neighboring node to enter the predictive wake-up process; after the transmission is completed, controlling the current lock control to directly enter a preset power-saving sleep mode until the next external trigger or timed wake-up.

[0023] According to a second aspect of the present application, a low-power locking and control management system for mining equipment is provided, comprising: a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions, when executed by the processor, implement the steps of the low-power locking and control management method for mining equipment provided in the first aspect of the present application.

[0024] The technical solutions provided by the embodiments of this application may include the following beneficial effects: by utilizing the broadcast signal of the upstream lock control to perceive the movement trend of personnel in advance, and combining distance information and time dimension index to construct a probability model of personnel arrival, the lock control device increases the scanning frequency only during the time window when personnel are most likely to arrive, while maintaining low power sleep at other times; by introducing an energy budget coefficient, the aggressiveness of the strategy is dynamically adjusted as the battery power is consumed, and power consumption is automatically reduced at the end of the battery life to maintain basic functions, ensuring that no legitimate unlocking requests are missed while minimizing invalid wake-ups and extending the lock control's battery life.

[0025] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0026] Figure 1This is a flowchart illustrating a low-power interlocking management method for mining equipment according to an exemplary embodiment; Figure 2 This is a comparative schematic diagram of the scanning frequency at different times in the embodiments of this application; Figure 3 This is a schematic diagram of the waiting delay at different times in the embodiments of this application; Figure 4 This is a schematic diagram illustrating the structure of a low-power locking and control management system for mining equipment according to an exemplary embodiment. Detailed Implementation

[0027] To achieve low-power management of locking and control for mining equipment, embodiments of this application provide a low-power locking and control management method and system for mining equipment. Figure 1 This is a flowchart illustrating a low-power latching management method for mining equipment according to an exemplary embodiment, such as... Figure 1 As shown, the method includes the following steps.

[0028] In step S101, a trigger broadcast signal sent by the upstream lock is received, the trigger time and the position information of the upstream lock are parsed from the trigger broadcast signal, and the pre-stored topology distance parameters are obtained.

[0029] The radio frequency module of the locking device is configured to intermittent listening mode with duty cycle, and the trigger broadcast signal adopts a predefined short frame structure; the payload of the data frame includes a 4-byte synchronization header that is all 0 or all 1, a 2-byte upstream locking unique identifier, and a 4-byte timestamp indicating the absolute time of the upstream event.

[0030] Lock control devices are typically equipped with an identification module that can identify the identity card of the inspection personnel to authenticate their identity and enable the unlocking operation of the locking mechanism of the lock control, so that the inspection personnel can inspect the mining equipment controlled by the lock control.

[0031] The parsing process can be automatically performed by the microcontroller's direct memory access channel to move the data from the RF buffer to RAM (Random Access Memory); the topology distance parameters can be stored in specific sectors of the on-chip Flash memory of the latching device in the form of an adjacency matrix or a hash table.

[0032] Based on the received upstream lock identification information and the current lock identification information, the distance information between the upstream lock and the current lock can be determined from the topology distance parameters. For example, the corresponding distance value can be retrieved from the hash table included in the topology distance parameters. For instance, if the upstream lock identification information is 0xA1, the actual physical path length of the cable or track laid along the tunnel from node 0xA1 to the current lock node 0xB2 can be found in Flash to be 500 meters.

[0033] The underground tunnels have complex structures, and signal strength indicators cannot accurately reflect physical distances. By using pre-calibrated topological distance parameters, the estimation errors caused by wireless signal attenuation models are eliminated. Furthermore, by using a broadcast mechanism instead of point-to-point handshakes, complex network routing overhead and handshake delays are avoided, reducing the power consumption of the communication protocol stack.

[0034] In step S102, distance information is determined based on the location information of the upstream lock and the topology distance parameters, and time dimension index is determined based on the trigger time and distance information.

[0035] The time dimension index is used to characterize the degree of deviation of the current time from the expected arrival time of the inspection personnel; when performing inspection operations on mining equipment, the inspection personnel can usually carry out the inspection according to the established route.

[0036] For two adjacent mining equipment on a predetermined route, the inspection personnel can unlock the lock of one mining equipment and complete the inspection of that equipment. After completing the inspection of the previous mining equipment, the inspection personnel will usually continue to inspect the next adjacent mining equipment. This allows the inspection personnel to proceed to the location of the next mining equipment to unlock the corresponding lock after unlocking the lock of one mining equipment.

[0037] By defining the time dimension index, the remaining time expected to arrive at the current moment can be represented. This allows for a faster increase in the scanning frequency of the lock before the inspector reaches the lock of the next mining equipment, enabling the inspector to perform operations more quickly.

[0038] Distance information can be the physical path length read from Flash, and the calculation of the time dimension index depends on statistical modeling of the movement patterns of mine personnel; due to the limitations of narrow roadways, rugged roads and equipment obstruction in underground operations, the movement speed of personnel usually follows a log-normal distribution.

[0039] The time dimension index is determined based on the trigger time and distance information, and can be calculated using the following formula: ,in, Indexed by time dimension, is the natural logarithm function with the base of the natural constant, is the timestamp information at the current moment, is the timestamp information at the trigger moment, is the path parameter, which is the logarithm of the ratio of the distance information to the historical average moving speed, is the preset speed dispersion parameter.

[0040] In the calculation formula of the time dimension index, is the current time provided by the real-time clock of the current locking and controlling device, is the timestamp in the upstream locking and controlling broadcast frame; the path parameter , where is the distance information, is the historical average passing speed of this section of the road, such as 1.2 m / s.

[0041] The parameter characterizes the uncertainty of passing through this section of the road, and its value usually ranges from 0.1 to 0.5. For example, for a straight main roadway, takes 0.1; for a roadway with slopes or air doors, takes 0.4, is a dimensionless standardized variable that maps the current moment to the horizontal axis of the standard normal distribution.

[0042] That is, the inspection personnel may cause a significant extension of the passing time due to reasons such as tying shoelaces or observing equipment. The lognormal distribution can fit this right-skewed data, and the actual physical time is converted into the value under the standard normal distribution through the calculation formula, so that the probability density can be quickly obtained by using the look-up table method without complex operations.

[0043] For example, when , it means that the current moment is exactly equal to the logarithmic average arrival time; when , it means that the time is too early; when , it means that the time is too late. This quantification provides a mathematical basis for the dynamic frequency adjustment of the locking and controlling.

[0044] In one embodiment, after the locking and controlling successfully completes an unlocking operation, the actual timestamp at the unlocking moment can also be recorded; the actual passing duration is calculated based on the difference between the actual timestamp and the trigger moment, and the path parameter is updated by using the preset forgetting factor, the logarithm of the actual passing duration, and the currently stored path parameter through the weighted moving average algorithm.

[0045] When the user successfully swipes the card at the current locking and controlling, the interruption signal can be captured and the at this moment is recorded, and the actual passing duration Then update the memory stored in Flash. The updated value of P is... ,in, It is a forgetting factor, for example, a value of 0.125, which makes it easier for the microcontroller to reduce the overhead of floating-point operations by performing division through shift operations.

[0046] The physical environment underground is dynamic. For example, in a certain section of the tunnel, the average personnel passage speed may decrease from 1.5 m / s to 0.8 m / s due to floor heave or water accumulation. If the factory-set parameters are used continuously, the prediction time will be too early, thus prematurely reducing the scanning frequency before personnel actually arrive. This can be addressed by using a forgetting factor. It can smoothly absorb new observation data, thereby gradually correcting the data. This value makes the obtained path parameters closer to the current actual traffic conditions.

[0047] In this way, the locking device has environmental adaptability, which can avoid long-term drift without manual recalibration and ensure the robustness of the prediction model throughout its entire life cycle.

[0048] In step S103, the total number of historical scans of the current lock is obtained, and the energy budget coefficient of the lock is determined based on the total number of historical scans, the maximum number of scans that can be performed, and the attenuation control index.

[0049] In one embodiment, the total number of historical scans is stored in the MCU's backup register or EEPROM. Each RF wake-up event triggers this counter to increment by one, with a maximum total number of scans. This is a theoretical upper limit calculated based on battery capacity and energy consumption per scan, such as 20 million scans.

[0050] The energy budget factor for the interlocking is determined by the following formula: ,in, To lock the energy budget factor at the current moment, This is the baseline energy budget value for the lock in its initial state. The total number of historical scans for the lock. This represents the maximum total number of scans that the lock can handle. This is the preset attenuation control index.

[0051] In the formula for calculating the energy budget coefficient of the interlocking system, The exponent is usually normalized to 2. The degradation curve used to define the aggressiveness of the power consumption strategy.

[0052] During the first 50% of battery life... A smaller value means a smaller degree of performance limitation when the battery is fully charged; as near The decay term increases rapidly. A sharp decline.

[0053] The most sensitive response should be provided during the initial installation of the equipment; in the later stages of equipment operation, in order to prevent deadlock or untimely maintenance due to battery depletion, some response speed can be sacrificed in exchange for a longer standby life until maintenance personnel are aware of the low battery alarm and replace the battery.

[0054] In step S104, the mapping value is determined based on the time dimension index and the preset correspondence.

[0055] The pre-defined correspondence is constructed based on the standard normal distribution and is used to characterize the relationship between the time dimension index and the mapping value.

[0056] The microcontroller controlling the lock can internally store a pre-computed lookup table, which will... The value is mapped to the probability density function value of the standard normal distribution, and the computational logic can be... , Pi is the mathematical constant, and e is the natural constant.

[0057] To avoid performing time-consuming exponential and floating-point division operations within the locked MCU (Microcontroller Unit), it is common practice to... The values ​​are discretized in steps of 0.1, and the calculation results are magnified by a factor of 1000 and stored as integers; for example, when At that time, the table was consulted to obtain ;when hour, ;when hour, .

[0058] The Gaussian distribution model describes the probability distribution of random events on the time axis. The physical meaning of the mapped value is the probability density of the patrol personnel being located at the current lock position at the current moment.

[0059] when When the value is close to 0, it indicates that the current time is the estimated arrival time calculated based on historical data, and the probability density is at its maximum. The value is highest at this point; as time progresses to both sides, the probability of people appearing decreases exponentially. The value shows a downward trend.

[0060] In this way, a real-time changing weight coefficient is obtained, which makes the adjustment of the scanning frequency smooth and continuous, avoiding the abrupt changes and blind spots caused by step adjustment.

[0061] In one embodiment, when multiple trigger broadcast signals from different upstream locks are received within a preset time window, a corresponding mapping value is calculated for each trigger broadcast signal; the largest candidate mapping value is selected from all mapping values, and the candidate mapping value is determined as the mapping value used to calculate the instantaneous scanning frequency.

[0062] Specifically, when the trigger signals from upstream locks A, B, and C are simultaneously valid, the time dimension index corresponding to each lock is calculated in each control cycle. , as well as And look up the table to get the mapping value corresponding to different locks. , as well as The final mapping value used for control .

[0063] Even if the probability of the inspection personnel at node A reaching the current lock is lower, if the probability of personnel at node B reaching the lock is higher, high-frequency scanning can be maintained. This ensures that in complex topologies with multiple lane intersections, the lock control device will not reduce its responsiveness to the most urgent task due to handling multiple tasks.

[0064] In step S105, the instantaneous scanning frequency of the lock is determined at the current moment using the energy budget coefficient, the base frequency, the mapping value, and the preset time window width parameter; the target sleep duration before the next wake-up is determined based on the instantaneous scanning frequency, so as to control the operation of the lock according to the sleep duration.

[0065] In one embodiment, the calculation of the instantaneous scan frequency is the core output of the entire control logic. Using the energy budget coefficient, the base frequency, the mapping value, and the preset time window width parameter, the instantaneous scan frequency of the lock at the current moment is determined using the following formula: ,in, To control the instantaneous scan frequency at the current moment, Based on the base frequency, To lock the energy budget factor at the current moment, This is the time window width parameter. This is the mapped value.

[0066] In the formula for calculating the instantaneous scan frequency, The base frequency for locking is set to, for example, 0.2Hz, to maintain a minimum network connection and prevent complete disconnection; the time window width parameter is set to, for example, 1 second, to achieve normalization and balance the dimensions.

[0067] The formula for calculating instantaneous scan frequency This factor determines the dynamic range of frequency adjustment. For example, when the battery is fully charged and the probability of inspection personnel arriving is highest, the total frequency increases after adding the base frequency; if the adjustment coefficient is designed to be more aggressive... Gain coefficient can be increased before (For example, if G=10), the peak frequency can reach more than 4Hz.

[0068] Obtain the instantaneous scan frequency at the current moment. Then, the instantaneous scanning frequency can be converted into a timer count value. The target sleep duration before the next wake-up can be determined based on the instantaneous scanning frequency, including: determining the reciprocal of the instantaneous scanning frequency, multiplying the reciprocal by a unit conversion factor, and rounding down the result of the multiplication to obtain the target sleep duration before the next wake-up.

[0069] The target sleep duration refers to the time interval between two consecutive scans, specifically calculated as the target sleep duration W. , To round down; for example, if The calculated result is 2.3Hz, so the reciprocal is 0.4347 seconds, or 434.7 milliseconds, which is rounded down to 434 milliseconds.

[0070] For discrete-time digital control systems, the sleep time must be an integer number of clock cycles. Rounding down means that the actual sleep time is slightly shorter than the theoretical calculation time, making the actual scan frequency higher than the theoretical frequency. The calculated target sleep duration value is written into the compare register of the low-power timer. When the timer overflows, an interrupt is generated to wake up the MCU for the next scan, which constitutes closed-loop feedback control.

[0071] In one embodiment, the vibration sensor can continuously monitor environmental vibrations. If no trigger broadcast signal is received from the upstream lock control, the instantaneous scanning frequency can be increased to a preset high-frequency state and maintained for a preset duration in response to environmental vibrations that match the footstep characteristics of a preset person.

[0072] The locking device can integrate a three-axis MEMS (Micro Electro Mechanical Systems) accelerometer, is configured to operate in a low-power mode, and activates a built-in high-pass filter to filter out the gravitational component.

[0073] When the detected acceleration change amplitude exceeds a preset threshold, such as 0.1g, the MCU is interrupted and wakes up to initiate a brief data acquisition, performing a Fast Fourier Transform on the acquired vibration data. If the spectral energy is concentrated in the typical human walking frequency range, such as 1Hz to 3Hz, it is determined that a person is approaching, and the scanning frequency can be increased to 5Hz and maintained for 30 seconds.

[0074] In one embodiment, the instantaneous voltage of the power supply battery of the lock can also be detected when the lock is woken up; if it is determined that the instantaneous voltage is lower than a preset safety threshold, the lock is controlled to operate at the base frequency until the instantaneous voltage recovers to above the safety threshold.

[0075] Specifically, each time the MCU wakes up, the analog-to-digital converter can be started to measure the battery voltage. Mining lithium thionyl chloride batteries have voltage hysteresis characteristics, meaning that after a high-current pulse output, the terminal voltage will drop instantaneously and require time to recover. If the detected voltage is below a safety threshold, such as 3V, it indicates that the battery's current internal resistance is high or its charge is insufficient. The scanning frequency can then be locked at [a certain value]. For example, 0.2Hz.

[0076] If the battery voltage is already low, forcibly performing a high-frequency scan will exacerbate the voltage drop, which may cause the voltage to fall below the MCU's undervoltage reset threshold, leading to unexpected restarts or even loss of critical data. By forcibly reducing the frequency, a buffer time is given for the battery's chemical reaction to recover the voltage.

[0077] In one embodiment, after the lock successfully identifies a valid unlocking authorization card, a new trigger broadcast signal is generated. The new trigger broadcast signal contains the current time and the current location information of the lock. The new trigger broadcast signal is sent through the radio frequency communication module to trigger the lock control device of the downstream neighboring node to enter the predictive wake-up process. After the transmission is completed, the current lock is controlled to directly enter the preset power-saving sleep mode until the next external trigger or timed wake-up.

[0078] After the current lock control completes the unlocking action, it can immediately switch the radio frequency module to transmit mode and broadcast a data packet containing its own ID and the current time. After the transmission is completed, the lock control immediately shuts down the radio frequency circuit and enters deep sleep without performing high-frequency scanning until the next timed heartbeat or external interruption.

[0079] For the entire mine, the lock control is only in a high-frequency working state when the inspection personnel are within a few hundred meters in front and behind. After the inspection personnel have not yet approached or have completed the inspection of the mining equipment controlled by the lock control, the lock control is in a quiet state with a lower frequency. It does not require scheduling by a central server, reducing the dependence on network facilities and balancing improving response speed and reducing power consumption.

[0080] Figure 2 This is a comparative diagram of the scanning frequency at different times in the embodiments of this application, such as... Figure 2As shown, by determining the probability density of inspection personnel at different times, the embodiments of this application can increase the scanning frequency of the lock control when the inspection personnel actually arrive. When the inspection personnel actually arrive at the lock control and perform the card swiping operation, the lock control can respond more quickly, realize the identification of the inspection personnel and unlock the controlled mining equipment, and facilitate the inspection personnel to inspect and maintain the mining equipment under the control of the lock control.

[0081] Figure 3 This is a schematic diagram illustrating the waiting delay at different times in the embodiments of this application, such as... Figure 3 As shown, by increasing the scanning frequency in advance during the time period when the inspection personnel are expected to arrive, compared with the existing technology that performs fixed scanning at a lower frequency, the delay in lock control execution response can be reduced.

[0082] Figure 4 This is a schematic diagram illustrating the structure of a low-power interlocking management system 1000 for mining equipment according to an exemplary embodiment. (Refer to...) Figure 4 The low-power interlocking management system 1000 for mining equipment includes a processor 1100 and a memory 1200. The memory 1200 stores computer program instructions, which, when executed by the processor 1100, implement all or part of the steps of the low-power interlocking management method for mining equipment in this application.

[0083] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only.

[0084] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A low-power interlocking control management method for mining equipment, characterized in that, include: Receive the trigger broadcast signal sent by the upstream lock, parse the trigger time and the position information of the upstream lock based on the trigger broadcast signal, and obtain the pre-stored topology distance parameters; The distance information is determined based on the location information of the upstream lock and the topological distance parameters. The time dimension index is determined based on the trigger time and the distance information. The time dimension index is used to characterize the degree of deviation of the current time from the expected arrival time of the inspection personnel. Obtain the total historical cumulative scan count of the current lock control, and determine the energy budget coefficient of the lock control based on the total historical cumulative scan count, the maximum total number of scans that can be performed, and the attenuation control index; The mapping value is determined based on the time dimension index and the preset correspondence; The pre-defined correspondence is constructed based on the standard normal distribution and is used to characterize the relationship between the time dimension index and the mapping value; The instantaneous scanning frequency of the lock is determined at the current moment by using the energy budget coefficient, the base frequency, the mapping value, and the preset time window width parameter; the target sleep duration before the next wake-up is determined based on the instantaneous scanning frequency, so as to control the operation of the lock according to the sleep duration.

2. The low-power interlocking management method for mining equipment according to claim 1, characterized in that, Based on the trigger time and distance information, determine the time dimension index, including: ,in, Indexed by time dimension, Let be a logarithmic function with the natural constant as the base. This is the timestamp information for the current moment. For the timestamp information of the trigger time, This refers to the path parameter, which is the logarithm of the ratio of distance information to the historical average movement speed. The preset velocity dispersion parameter.

3. The low-power interlocking control management method for mining equipment according to claim 2, characterized in that, The method further includes: After the lock successfully completes an unlocking operation, record the actual timestamp of the unlocking moment; The actual travel time is calculated based on the difference between the actual timestamp and the trigger time. The path parameters are then updated using a weighted moving average algorithm, taking into account a preset forgetting factor, the logarithm of the actual travel time, and the currently stored path parameters.

4. The low-power interlocking management method for mining equipment according to claim 1, characterized in that, The energy budget factor for the interlock is determined in the following way: ,in, To lock the energy budget factor at the current moment, This is the baseline energy budget value for the lock in its initial state. The total number of historical scans for the lock. This represents the maximum total number of scans that the lock can handle. This is the preset attenuation control index.

5. The low-power interlocking control management method for mining equipment according to claim 1, characterized in that, Using the energy budget factor, the base frequency, the mapping value, and the preset time window width parameter, the instantaneous scanning frequency of the lock at the current moment is determined, including: ,in, To control the instantaneous scan frequency at the current moment, Based on the base frequency, To lock the energy budget factor at the current moment, This is the time window width parameter. This is the mapped value.

6. The low-power interlocking control management method for mining equipment according to claim 1, characterized in that, The target sleep duration before the next wake-up is determined based on the instantaneous scan frequency, including: Determine the reciprocal of the instantaneous scanning frequency, and multiply the reciprocal by the unit conversion factor. Then, round down the result of the multiplication to obtain the target sleep duration before the next wake-up.

7. The low-power interlocking control management method for mining equipment according to claim 1, characterized in that, The method further includes: continuously monitoring environmental vibrations through a vibration sensor, and, in the absence of a trigger broadcast signal sent by the upstream lock control, responding to environmental vibrations that match the footstep characteristics of a preset person, increasing the instantaneous scanning frequency to a preset high-frequency state and maintaining it for a preset duration.

8. The low-power interlocking control management method for mining equipment according to claim 1, characterized in that, The method further includes: detecting the instantaneous voltage of the power supply battery of the lock control when the lock control is woken up; if it is determined that the instantaneous voltage is lower than a preset safety threshold, controlling the lock control to operate at the base frequency until the instantaneous voltage recovers to above the safety threshold.

9. The low-power interlocking control management method for mining equipment according to claim 1, characterized in that, The method further includes: when multiple trigger broadcast signals from different upstream locks are received within a preset time window, calculating the corresponding mapping value for each trigger broadcast signal; selecting the largest candidate mapping value from all mapping values, and determining the candidate mapping value as the mapping value used to calculate the instantaneous scanning frequency.

10. A low-power interlocking control management system for mining equipment, characterized in that, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement the low-power latching management method for mining equipment according to any one of claims 1-9.

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