A mine ecological environmental protection equipment integrated management and control system and method

Abstract

The present application relates to the technical field of mine environmental protection management and control, and discloses a mine ecological environmental protection equipment integrated management and control system and method, comprising: a data sensing and filtering module, a pollution potential quantification module, a time delay and space mapping module, a correction and optimization scheduling module, and a damping state execution module. By collecting the transient current of the main motor and the instantaneous material flow, the pollution potential index representing the dust production intensity is quantified, and the feedforward prediction of the pollution source is realized. The space-time mapping relationship is established combined with the material conveying path, and the feedforward trigger queue with the trigger timestamp is generated. At the trigger time, the meteorological environment data and the equipment operating state are fused, and the output power distribution rate matrix with the minimum system running cost as the target is solved. And when the process is shut down, the damping attenuation control is executed to make the equipment power smoothly decline to suppress the residual dust. The present application solves the problems of environmental protection equipment control lag and uneconomic operation, and improves the timeliness, effectiveness and fine level of management and control.

Description

Technical Field

[0001] This invention relates to the field of environmental protection management technology in mines, specifically to an integrated management system and method for mine ecological and environmental protection equipment. Background Technology

[0002] Mines generate significant amounts of dust during material crushing and conveying. Conventional methods involve deploying environmentally friendly equipment such as sprayers and dust collectors on-site. Currently, most systems managing this equipment employ a feedback control model based on data from end-point dust concentration sensors. This control logic, reliant on post-event monitoring, suffers from significant lag. By the time sensors detect excessive dust concentration and trigger control commands, the dust has often already spread, making it impossible for the equipment to suppress dust generation at its source.

[0003] Furthermore, existing control strategies are often rather crude, directly activating environmental protection equipment in the relevant area at a fixed power level upon receiving a start signal. This control method fails to establish a spatial mapping relationship between pollution sources and material transport, resulting in a mismatch between equipment start-up timing and the actual arrival time of dust. Simultaneously, existing systems rarely consider dynamic meteorological conditions such as real-time wind speed and direction, as well as static obstructions from surrounding facilities, when issuing control commands, and lack power consumption scheduling based on the equipment's own operating status. This causes environmental protection equipment to perform ineffective work when encountering unfavorable wind directions or physical obstructions, limiting actual dust reduction effects and wasting overall system energy.

[0004] During process shutdown, most current control systems adopt the method of instantly cutting off the frequency converter or directly shutting off the equipment power supply. This control logic ignores the physical time required for airborne dust to settle naturally. Due to the lack of continuous suppression during the transition phase, residual dust in the field is prone to unorganized diffusion after shutdown, affecting the mining working environment.

[0005] Therefore, this invention proposes an integrated management and control system and method for mine ecological and environmental protection equipment to address the shortcomings of existing technologies. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides an integrated management and control system and method for mine ecological and environmental protection equipment. It solves the problems of existing mine environmental protection equipment management methods relying on end-point feedback, resulting in control lag, and lacking dynamic power scheduling based on the spatiotemporal transfer patterns of dust and the on-site environmental conditions, which leads to insufficient dust suppression effectiveness and excessive energy consumption of equipment operation.

[0007] To achieve the above objectives, the present invention provides the following technical solution: The first aspect of the present invention provides an integrated management and control system for mine ecological and environmental protection equipment, comprising:

[0008] The data sensing and filtering module is used to collect process parameter data, meteorological environment data and environmental protection equipment operation status data at the mine site, and to perform sliding time window filtering on the collected transient current of the main motor to obtain the mean steady-state current and the steady-state current difference value.

[0009] The pollution potential quantification module is connected to the data sensing and filtering module. It is used to receive the steady-state current difference value and calculate the pollution potential index in combination with the instantaneous material flow rate. The pollution potential index is used to characterize the dust generation intensity at the source of mine production.

[0010] The time delay and spatial mapping module is connected to the pollution potential quantification module. It is used to establish a time-space mapping relationship based on the material conveying path, calculate the expected time difference of the pollution source reaching the coverage area of ​​each environmental protection equipment, and generate a feedforward trigger queue with a trigger timestamp based on the expected time difference.

[0011] The correction and optimization scheduling module, connected to the delay and spatial mapping module, is used to calculate the comprehensive effectiveness coefficient of each environmental protection device at the trigger time corresponding to the feedforward trigger queue, combining the meteorological environment data and the offline configured static topology masking matrix, and to obtain the output power allocation rate matrix based on the candidate available environmental protection devices after eliminating invalid devices.

[0012] The damping state execution module, connected to the correction and optimization scheduling module, is used to convert the output power distribution rate matrix into inverter frequency commands and send them to the electrical actuators. When a process shutdown state is detected, the inverter frequency commands are controlled to perform damping attenuation control.

[0013] Preferably, the data sensing and filtering module performs sliding time window filtering on the collected transient current of the main motor to obtain the steady-state current mean and steady-state current difference, specifically including:

[0014] A first-in-first-out data queue is constructed as a sliding time window to buffer the transient current of the main motor in the time domain in order to calculate the mean steady-state current at the current moment.

[0015] Read the historical steady-state current value at a complete sliding time window span before the current moment, and perform a difference operation between the mean steady-state current value at the current moment and the historical steady-state current value to extract the steady-state current difference value that represents the increment of the crushing work load.

[0016] Preferably, the pollution potential quantification module calculates the pollution potential index in conjunction with instantaneous material flow rate, specifically including:

[0017] When the steady-state current difference value is greater than or equal to zero, the product of the instantaneous material flow rate and the preset flow rate dust generation coefficient is used as the basic dust generation amount.

[0018] The steady-state current difference value is converted based on the time width of the sliding time window and multiplied by the preset process impact coefficient to obtain the impact dust generation increment.

[0019] The pollution potential index at the current moment is obtained by adding the basic dust generation, the incremental dust generation due to impact, and the environmental background constant.

[0020] Preferably, the delay and spatial mapping module calculates the expected time difference and generates a feedforward trigger queue, specifically including:

[0021] The length of the conveying path from the pollution source's material drop point to the coverage area of ​​each environmental protection equipment is obtained. Combined with the real-time obtained main belt speed and the preset spatial free diffusion time constant, the estimated time difference of the pollution source reaching the coverage area of ​​each environmental protection equipment is calculated.

[0022] The absolute trigger time is generated by adding the estimated time difference to the absolute calculation time of the pollution potential index, and the data frame containing the pollution potential index and the absolute trigger time is written into the feedforward trigger queue.

[0023] Preferably, the correction and optimization scheduling module calculates the comprehensive effectiveness coefficient of each environmental protection device, specifically including:

[0024] Real-time wind speed and wind direction angle are extracted from the meteorological environmental data.

[0025] Multiply the masking coefficients in the static topology masking matrix, the non-negative wind direction correction term corresponding to the wind direction angle, and the wind speed attenuation correction term corresponding to the real-time wind speed to obtain the comprehensive effectiveness coefficient of the corresponding environmental protection equipment.

[0026] Wherein, when the real-time wind speed is greater than the preset wind resistance threshold, the wind speed attenuation correction term decreases as the real-time wind speed increases;

[0027] When the calculated comprehensive effectiveness coefficient is lower than the preset lower threshold of effectiveness, it is determined that the corresponding environmental protection equipment does not have effective spraying conditions, and it is removed from the candidate queue to obtain the candidate usable environmental protection equipment.

[0028] Preferably, the correction and optimization scheduling module obtains the output power allocation rate matrix based on candidate available environmental protection equipment, specifically including:

[0029] For the candidate available environmental protection equipment, a comprehensive operating cost parameter is constructed by combining the cumulative operating time of the equipment, the inverter temperature rise parameter and the comprehensive effectiveness coefficient in the environmental protection equipment operating status data;

[0030] The objective function is to minimize the overall system operating cost, and the constraint condition is to meet the current comprehensive pollution potential demand. A linear programming solution is performed with the output power allocation rate as the independent variable to generate the output power allocation rate matrix containing the allocation rates of each available environmental protection device.

[0031] Preferably, the damping state execution module converts the output power distribution matrix into inverter frequency commands, specifically including:

[0032] For environmental protection equipment whose allocation rate in the output power allocation rate matrix is ​​higher than the preset start-up dead zone threshold, the target operating frequency is calculated based on the inverter's highest operating frequency and lower limit frequency according to a linear proportional mapping relationship, and then converted into the corresponding inverter frequency command and issued.

[0033] For environmental protection equipment whose distribution rate in the output power distribution rate matrix is ​​equal to zero or lower than the preset start-up dead zone threshold, a shutdown control word is sent to the corresponding frequency converter or the device is kept in a closed state.

[0034] Preferably, the damping state execution module monitors the process shutdown state, specifically including:

[0035] When the instantaneous material flow rate is detected to drop to the preset zero dead zone and the steady-state average current value falls back to the allowable deviation range of the no-load current reference, the state anti-shake timer is started.

[0036] If the instantaneous material flow rate remains within the preset zero dead zone, and the steady-state average current remains within the allowable deviation range of the no-load current reference for a duration exceeding the preset anti-shake time window, then the process is determined to enter a shutdown state. At this time, the real-time power allocation command issued by the correction and optimization scheduling module during the shutdown phase is blocked, and the system switches to damping attenuation operation mode.

[0037] Preferably, the damping state execution module controls the frequency command of the frequency converter to execute damping attenuation control in the damping attenuation operation mode, specifically including:

[0038] Starting from the initial operating frequency recorded at the moment of entering the process shutdown state, and ending at the lower limit of the maintenance frequency, a negative exponential decay curve is constructed based on the environmental dust settling damping constant.

[0039] The real-time attenuation is controlled to gradually and smoothly converge from the initial operating frequency to the lower limit of the maintenance frequency according to the negative exponential attenuation curve.

[0040] When the elapsed time after shutdown reaches the preset maximum safe settlement period, or when the real-time attenuation given frequency decreases to the sum of the lower limit of the maintenance frequency and the preset tolerance, a shutdown command is sent to the corresponding strain gauge.

[0041] A second aspect of this invention provides an integrated management and control method for mine ecological and environmental protection equipment, comprising the following steps:

[0042] Collect process parameter data, meteorological environment data, and environmental protection equipment operation status data from the mine site, and perform sliding time window filtering on the collected transient current of the main motor to obtain the mean steady-state current and steady-state current difference value.

[0043] The steady-state current difference value is received and combined with the instantaneous material flow rate to calculate the pollution potential index, which is used to characterize the dust generation intensity at the source of mine production.

[0044] Establish a spatiotemporal mapping relationship based on the material conveying path, calculate the estimated time difference of pollution sources reaching the coverage area of ​​each environmental protection equipment, and generate a feedforward trigger queue with trigger timestamps based on the estimated time difference;

[0045] At the triggering time corresponding to the feedforward triggering queue, the comprehensive effectiveness coefficient of each environmental protection device is calculated by combining the meteorological environment data and the offline configured static topology masking matrix, and the output power allocation rate matrix is ​​obtained based on the candidate available environmental protection devices after eliminating invalid devices;

[0046] The output power distribution matrix is ​​converted into a frequency converter command and sent to the electrical actuator. When a process shutdown is detected, the frequency converter command is controlled to perform damping attenuation control.

[0047] This invention provides an integrated management and control system and method for mine ecological and environmental protection equipment. It has the following beneficial effects:

[0048] 1. This invention extracts the steady-state current difference value by applying a sliding time window filter to the transient current of the main motor, and combines it with the instantaneous material flow rate to calculate the pollution potential index. This changes the traditional lag mode that relies on end-point dust concentration sensors for feedback adjustment. This technical feature quantifies the basic dust generation generated by material transportation in the mine and the impact dust generated by crushing work, realizing feedforward prediction of dust generation intensity at the production source and significantly improving the timeliness of the system's response to pollution sources.

[0049] 2. This invention establishes a spatiotemporal mapping relationship based on the material conveying path and belt speed to generate a feedforward trigger queue. At the triggering moment, it combines real-time meteorological environmental data with a static topology masking matrix to solve the output power allocation matrix with the goal of minimizing the overall system operating cost. This mechanism ensures precise matching between the operating time of environmental protection equipment and the physical arrival process of pollution sources. Simultaneously, it dynamically allocates the operating power of each device based on on-site wind conditions, physical obstruction, and the current operating conditions of the equipment, reducing the overall energy consumption of the system while meeting dust suppression requirements.

[0050] 3. This invention introduces a state anti-jitter timer into the damping state execution module and designs a damping attenuation operation mode based on a negative exponential decay curve. By using the dual conditions of material flow rate and steady-state current average value, along with an anti-jitter time window to filter transient load fluctuations, it avoids accidental shutdowns of environmental protection equipment. When the process shutdown state is confirmed, the inverter frequency smoothly decreases according to the exponential curve. This control logic conforms to the natural settling physical process of dust on site, effectively suppressing the unorganized diffusion of residual dust during the shutdown phase. Attached Figure Description

[0051] Figure 1 This is a schematic diagram of the system framework of the present invention;

[0052] Figure 2 This is a schematic diagram of the method flow of the present invention;

[0053] Figure 3 This is a flowchart of the data sensing and time-domain filtering process of the present invention;

[0054] Figure 4 This is a schematic diagram illustrating the principle of pollution potential quantification treatment in this invention.

[0055] Figure 5 This is a schematic diagram of the spatiotemporal mapping and trigger queue management principle of the present invention;

[0056] Figure 6 This is a flowchart of the modification and optimization scheduling process of the present invention;

[0057] Figure 7 This is a timing diagram of the damping state execution process of the present invention;

[0058] Figure 8 The diagram shows the relationship between the control algorithm logic timing and numerical derivation of the present invention. Among them, Figure (a) is the timing diagram of material flow rate and main motor steady-state current, Figure (b) is the curve of pollution potential index change, and Figure (c) is the timing diagram of the inverter given frequency.

[0059] Figure 9 The figures provided are comparative verification data of the system control effect of the present invention. Among them, Figure (a) is a dust concentration comparison curve, and Figure (b) is a bar chart of the relative ratio of resource consumption.

[0060] Among them, 100 is the data perception and filtering module; 200 is the pollution potential quantification module; 300 is the time delay and spatial mapping module; 400 is the correction and optimization scheduling module; and 500 is the damping state execution module. Detailed Implementation

[0061] The technical solutions in 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.

[0062] Please see the appendix Figure 1 This invention proposes an integrated management and control system for mine ecological and environmental protection equipment. The system includes a data perception and filtering module 100, a pollution potential quantification module 200, a time delay and spatial mapping module 300, a correction and optimization scheduling module 400, and a damping state execution module 500.

[0063] The data sensing and filtering module 100 is used to collect process parameter data, meteorological environment data and environmental protection equipment operation status data at the mine site, and to perform filtering processing on the collected high-voltage characteristic parameters based on a sliding time window, and output steady-state signals for subsequent calculations.

[0064] The pollution potential quantification module 200 is connected to the data sensing and filtering module 100. It is used to receive steady-state signals and calculate the pollution potential index in combination with material flow characteristics. The pollution potential index is used to characterize the dust generation intensity at the source of mine production.

[0065] The time delay and spatial mapping module 300 is connected to the pollution potential quantification module 200. It is used to establish a time-space mapping relationship based on the material conveying path of the mining production line, calculate the time difference of the pollution source reaching the coverage area of ​​each environmental protection equipment, and generate a feedforward trigger queue with timestamps according to the time difference.

[0066] The correction and optimization scheduling module 400, connected to the delay and spatial mapping module 300, is used to read real-time meteorological data at the trigger time corresponding to the feedforward trigger queue, and calculate the spatial effectiveness of each environmental protection device in combination with the offline configured static topology masking matrix; after eliminating invalid devices, a cost function is constructed based on the operating status of the candidate environmental protection devices, and the output power allocation rate matrix of each environmental protection device is obtained by solving.

[0067] The damping state execution module 500, connected to the correction and optimization scheduling module 400, is used to convert the output power distribution rate matrix into frequency converter commands and send them to the electrical actuators; when a process shutdown signal is detected, the environmental protection equipment is controlled to perform exponential power attenuation according to the preset damping constant.

[0068] See attached document Figure 2 This invention also proposes an integrated management and control method for mine ecological and environmental protection equipment. This method is executed by the aforementioned integrated management and control system for mine ecological and environmental protection equipment and includes the following steps:

[0069] S100 collects transient current, instantaneous material flow rate and main belt speed during the operation of the mining production line through the data sensing and filtering module 100, and performs sliding time window filtering and differential processing on the transient current to obtain the steady-state current differential value.

[0070] S200 receives the steady-state current difference value and instantaneous material flow rate through the pollution potential quantification module 200, calculates the initial pollution potential index corresponding to the output material, and determines the control benchmark for the amount of dust generated at the source.

[0071] S300, through the time delay and space mapping module 300, calculates the estimated time difference for materials to reach the corresponding environmental protection equipment coverage area based on the main belt speed and the center coordinate distance of the environmental protection equipment, and writes the pollution potential index into the feedforward trigger queue based on the estimated time difference.

[0072] S400: When the system control cycle reaches the trigger time node in the feedforward trigger queue, the current wind speed and wind direction angle are extracted by the correction and optimization scheduling module 400, and the comprehensive effectiveness coefficient of each environmental protection device is calculated by combining the static topology masking matrix. Then, invalid devices are removed based on the effectiveness lower limit threshold, and for the available environmental protection devices retained in the candidate queue, a cost function is constructed by combining the cumulative running time of the device and the frequency converter temperature rise parameter. The output power allocation rate matrix is ​​generated by solving the linear programming problem.

[0073] The comprehensive effectiveness coefficient includes a wind direction angle correction term and a wind speed attenuation correction term. When the real-time wind speed exceeds the wind resistance spray threshold of the corresponding environmental protection equipment, the correction and optimization scheduling module 400 reduces the comprehensive effectiveness coefficient of the environmental protection equipment or removes the environmental protection equipment from the candidate queue.

[0074] S500 converts the output power distribution matrix into frequency control commands for the frequency converter through the damping state execution module 500 and sends them to the frequency converter drive mechanism. When the instantaneous material flow rate is detected to be zero and the main motor current drops back to the no-load current reference, it determines that the mining production line has entered the process shutdown state. It extracts the steady-state operating frequency recorded before the shutdown is triggered and controls the frequency converter frequency control command to gradually decrease along the negative exponential decay curve according to the gravity settlement damping constant until it drops to the lower limit of the maintenance frequency, and then outputs the shutdown enable control word or shutdown control word.

[0075] To further clarify the implementation of each technical aspect of the present invention, the following will provide a detailed description of the implementation of each functional module involved above and its internal processing flow.

[0076] See attached document Figure 3During system operation, the data sensing and filtering module 100 establishes a data communication link with the distributed control system, meteorological micro-station, and environmental protection equipment drive unit via the field industrial Ethernet, and completes multi-source data acquisition according to the preset sampling frequency. Its processing includes the following steps:

[0077] S110, the data sensing and filtering module 100 reads process parameter data from the distributed control system of the mine production area. The process parameter data includes the instantaneous material flow rate output by the conveyor belt scale. The linear speed of the main belt fed back by the drive inverter And the transient current of the main motor reflecting the mechanical work load of the crusher. .

[0078] Simultaneously, the data sensing and filtering module 100 acquires environmental data from meteorological micro-stations deployed at the boundary of the work site. This environmental data includes real-time wind speed. and wind deflection angle The data sensing and filtering module 100 also reads the operating status data of the frequency converters driving each environmental protection equipment through the underlying fieldbus. The operating status data includes the cumulative operating time of the equipment and the temperature rise parameter of the frequency converter.

[0079] To enable data from different sources to participate in calculations within the same control cycle, the data sensing and filtering module 100 attaches a unified controller clock timestamp to the data and performs time alignment using nearest neighbor timestamp matching, previous valid value hold, or linear interpolation. When the timestamp of any data source lags behind by more than a preset communication timeout threshold, the data sensing and filtering module 100 replaces the corresponding abnormal data with a preset safety default value, or outputs a communication abnormality alarm to subsequent modules, to prevent faulty data from participating in contamination potential calculations and scheduling solutions.

[0080] For data polling, protocol conversion, and internal register address mapping between different industrial communication protocols, those skilled in the art can configure them according to the hardware manual of the field control equipment. The above communication adaptation process is a conventional implementation method in the field of industrial control and will not be described in detail here.

[0081] Large rotating machinery such as mining crushers are prone to high-frequency harmonics and transient pulse spikes in their main motor power supply circuits when operating with material or under power grid disturbances. Directly using unprocessed transient currents in feedforward calculations can easily cause fluctuations in the pollution potential index, leading to frequent fluctuations in the control commands of environmental protection equipment. Therefore, the data sensing and filtering module 100 performs sliding time window filtering on the collected main motor transient currents, as follows:

[0082] S120, the data sensing and filtering module 100 divides its internal storage space into consecutive register address blocks to construct a first-in-first-out (FIFO) data queue. This FIFO data queue acts as a sliding time window to monitor the transient current of the main motor. Perform time-domain buffering.

[0083] Set the time width of the sliding time window to The underlying polling sampling period of the system controller is The data sensing and filtering module 100 is based on... and Determine the number of sampling points to save within the sliding time window. In actual controller operations, according to and The ratio is obtained by rounding down and is limited to a positive integer greater than or equal to 1. Sampling period Typically configured in milliseconds, the time width of the sliding time window The setting can be adjusted according to the lower limit of the low-frequency interference to be filtered and the computing power of the controller, typically ranging from hundreds of milliseconds to several seconds.

[0084] As the sampling process continues, the transient current of the main motor... The latest analog-to-digital conversion value is written to the first-in-first-out (FIFO) data queue in chronological order, and the earliest historical sampled value stored in the queue is simultaneously removed. The data sensing and filtering module 100 sums and averages the sampled values ​​in the current queue within each control operation cycle to reduce the impact of occasional pulse spikes and high-frequency electrical interference on current trend judgment. Current moment steady-state output current Calculated according to the following relationship:

[0085] ;

[0086] In the formula, This represents the mean steady-state current at the current moment after smoothing through a sliding time window. This indicates the total number of valid sampling points saved within the set sliding time window; This represents the transient current value obtained from the current transformer in the physical circuit and converted from analog to digital. Indicates the current absolute calculation time; This is a step index variable for the time series data; This indicates the fixed sampling period for analog-to-digital conversion and data reading in the system.

[0087] To avoid distortion in steady-state current calculations due to the queue not being full during the initial system startup, when the data sensing and filtering module 100 detects that the number of valid sampling points in the queue is less than [a certain number], [the following action is taken]. At any given time, the preset motor no-load background current value is used to fill the queue gaps; the sliding time window is waited for the queue data to fully cover. Then, output the steady-state current obtained from normal calculation. .

[0088] After obtaining a continuous and smooth steady-state current, the data sensing and filtering module 100 further extracts the low-frequency variation trend of the current over time. This variation trend is used to mitigate the impact of the basic power consumption during steady-state operation of the equipment and to extract the load increment generated by the material entering the crusher due to collision, compression, or crushing work. The specific steps are as follows.

[0089] S130, the data sensing and filtering module 100 reads the historical value of steady-state current at a point within a complete sliding time window span prior to the current moment. And utilize the current steady-state current By performing a difference operation with this historical value, the steady-state current difference value is obtained. . Represents steady-state current The amount of change within a set sliding time window span.

[0090] ;

[0091] In the formula, It represents the actual macroscopic variation of the physical load of the main motor within a set time span.

[0092] The aforementioned window difference method characterizes the load trend by the change in current over a discrete time span, avoiding the problem of continuous differentiation being overly sensitive to transient noise and preserving the low-frequency characteristics related to material crushing and impact. The data sensing and filtering module 100 will process the steady-state current difference value... The data is written to the main control memory interaction area and transmitted to the pollution potential quantification module 200 as input parameters for calculating the source dust generation intensity.

[0093] Regarding data validity management, when any critical data among instantaneous material flow rate, main belt linear speed, main motor current, wind speed, wind direction angle, or equipment status data experiences communication interruption, exceeds limits, or timestamp timeout, the data sensing and filtering module 100 marks the corresponding data as invalid and outputs a data quality flag to subsequent modules. Subsequent modules then select, based on the data quality flag, whether to maintain the previous valid value, enter a degraded operation state, or execute a safe shutdown strategy, ensuring that the control process still has a defined processing path under abnormal data acquisition conditions.

[0094] See attached document Figure 4 The pollution potential quantification module 200 reads the steady-state current differential value output by the data sensing and filtering module 100 through its internal data bus. And simultaneously acquire instantaneous material flow rate The pollution potential quantification module 200 quantifies the dust generation intensity at the production source based on the correlation between material flow rate and crushing work load. Its processing includes the following steps.

[0095] S210, the pollution potential quantification module 200 maps process physical parameters to source dust generation intensity parameters.

[0096] Conventional dust suppression control methods in mines often rely on feedback from dust concentration sensors on the downwind side for adjustment. However, since it takes time for dust to diffuse from the source to the sensor location, and dust concentration sensors are easily affected by water mist, airflow disturbances, and installation location, relying solely on end-point feedback can easily lead to control lag.

[0097] This embodiment does not use end-point concentration changes as the sole control criterion. Instead, it extracts instantaneous material flow rate and crusher mechanical load from the production source and predicts dust generation trends accordingly. Physically, material flow rate reflects the baseline dust generation level during conveying and transfer, while changes in the crusher's main motor load reflect the intensity of work done when the material is compressed, impacted, and crushed. A more significant load increase indicates a more intense crushing process, typically resulting in a higher release of fine particulate matter.

[0098] Based on the above relationships, the pollution potential quantification module 200 establishes a source dust generation intensity model. In this model, the instantaneous dust generation capacity at the source is jointly characterized by the basic dust generation amount and the dust generation amount from crushing and impact; among which, the basic dust generation amount is related to the material flow rate, and the dust generation amount from crushing and impact is related to the steady-state current difference value.

[0099] S220, the pollution potential quantification module 200 calls its computing unit, based on the steady-state current difference value. Instantaneous material flow rate And preset process constants, to calculate the pollution potential index at the current moment. Pollution potential index Used to characterize the relative intensity of dust pollution generated at the source of production in the current batch of materials.

[0100] Considering that the main motor of the crusher may generate a negative current difference value during the load reduction phase, and that a load decrease does not necessarily mean a negative offset in dust volume, the pollution potential quantification module 200 performs non-negative truncation processing on the steady-state current difference value before calculation. That is, when... When the value is less than 0, the increase in dust generation from crushing and impact is treated as 0; when When greater than or equal to 0, Substitute the values ​​into the calculation.

[0101] Pollution potential index Calculated according to the following relationship:

[0102] ;

[0103] In the formula, Indicates the current time The pollution potential index is generated at the source of pollution and is a dimensionless control benchmark value. This represents the instantaneous material flow rate collected by the conveyor belt scale; The steady-state current difference value output by the data sensing and filtering module 100 is used to characterize the load increment of the main motor of the crusher within the sliding time window. Indicates the time width of the sliding time window; The flow rate dust generation coefficient is used to characterize the basic dust generation characteristics corresponding to a unit material flow rate. It represents the process impact coefficient, used to convert the change in crusher load into the increase in impact dust generation; It represents the environmental background constant, used to compensate for the basic dust background value at the production site.

[0104] When the production line is in normal operation As a compensation term for the pollution potential index, it is included in the calculation. When the system determines that the production line is in a non-production state or a damped shutdown state, the pollution potential quantification module 200 will no longer use only the compensation term for the pollution potential index. The resulting pollution potential index is written into the feedforward trigger queue to avoid generating invalid trigger commands under material-free conditions.

[0105] Regarding the determination of the above parameters, and Calibration can be performed based on the type of mining material, moisture content, crusher model, and on-site operating conditions. For example, data on dust concentration and motor load differences under different material flow rates and crushing loads can be collected, and corresponding parameters can be determined using linear regression or least squares fitting. The parameters can be determined based on the static average values ​​of dust sensors or weather micro-stations when no material is entering the production line and the equipment is idling. The calibration of these parameters is a standard configuration process that can be completed by those skilled in the art based on on-site trial operation data.

[0106] S230, Pollution Potential Quantification Module 200 calculates the pollution potential index. Normalization mapping and saturation limiting are performed to ensure that the numerical range requirements of subsequent scheduling solutions and inverter control are met. Specifically, the pollution potential quantification module 200 will... Mapped to the control percentage range of [0, 100]. Unless otherwise specified, the pollution potential index used in subsequent modules... Both refer to the pollution potential control baseline values ​​after normalization mapping and saturation limiting processing.

[0107] Normalized pollution potential index The benchmark for offsetting the rated potential of the equipment used in subsequent linear programming. The same dimensionless control scale is used. Indicates the first The baseline capacity of an environmental protection device to offset pollution potential under full-load operation can be pre-calculated based on the device's full-load spray flow rate, effective coverage radius, on-site dust settling conversion relationship, and trial operation calibration data. Through the above unified benchmarking process, the pollution potential demand value and the environmental protection device's offsetting capacity can participate in the scheduling solution under the same constraint system.

[0108] When the calculated pollution potential index When the preset system safety limit is exceeded, the pollution potential quantification module 200 uses saturation limiting logic to limit the output value to the maximum rated control value; when the calculated value is lower than the preset lower limit, it outputs the lower limit value or zero value. This avoids calculation overflow or abnormal values ​​being directly transmitted to subsequent actuators.

[0109] The pollution potential quantification module 200 normalizes and limits the pollution potential index. Together with the current moment The corresponding timestamp is output to the delay and space mapping module 300 as input data for constructing the space-time mapping queue.

[0110] Through the above processing, the pollution potential quantification module 200 converts material flow rate and crusher load changes into a pollution potential control benchmark that can be used by the scheduling module. Since the steady-state current difference value can reflect the load ramp-up characteristics of the crusher at the moment of material crushing, this characteristic usually precedes the time when dust diffuses to the end detection position. Therefore, the pollution potential index generated based on this characteristic has feedforward properties and can provide a basis for the early triggering and power allocation of subsequent environmental protection equipment.

[0111] See attached document Figure 5 The time delay and spatial mapping module 300 is communicatively connected to the pollution potential quantification module 200, and is used to receive the pollution potential index with a timestamp. Based on the spatial topology of the mine material transport path, the generation time of the pollution source is converted into the trigger time of the corresponding environmental protection equipment. The processing includes the following steps.

[0112] S310, the time delay and spatial mapping module 300 reads the offline three-dimensional topological coordinate file of the mining area's environmental protection equipment and extracts the material drop point from the production source to the... The effective coverage area of ​​each environmental protection device includes the length of the transport path to the center point of the region. .in, For the equipment number, and .

[0113] When the conveyor belt route has turns, inclines, declines, or multiple sections of broken lines... The velocity can be obtained by spatial curve integration from a three-dimensional coordinate matrix, or by accumulating the distances between multiple straight lines between adjacent coordinate points. Simultaneously, the time delay and spatial mapping module 300 obtains the current main belt linear velocity from the data sensing and filtering module 100. This is used for subsequent delay calculations.

[0114] S320, the time delay and spatial mapping module 300 calculates the estimated time difference between the arrival of the current pollution source and the coverage area of ​​each environmental protection device based on the movement relationship of the material along the conveying path. .

[0115] In mining production sites, dust pollution typically does not immediately spread throughout the entire space after its generation. Instead, it gradually enters the effective area of ​​corresponding environmental protection equipment as materials are transported, transferred, and subjected to air disturbances. Therefore, the time delay and space mapping module 300 uses the length of the material transport path... and main belt linear speed Based on this, and combined with the dust free diffusion compensation time, the arrival time of the pollution source is determined. The estimated time difference of the area affected by each environmental protection device.

[0116] To avoid division by zero or excessive delay when the belt is running at low speed or when the instantaneous speed is close to zero, the system introduces a minimum effective operating speed threshold in the speed item. Expected time difference Calculated according to the following relationship:

[0117] ;

[0118] In the formula, This indicates that the pollution generated at the current moment originates from the source reaching the [number]th [unit]. The estimated time difference required for the action center of each environmental protection equipment; Indicates the length of the physical delivery path configured offline; This indicates the real-time linear speed of the main belt, as fed back by the belt drive mechanism. This indicates the minimum effective operating speed threshold of the belt in the system configuration. It is used to limit the minimum speed value in the time delay calculation to prevent calculation errors under low-speed conditions. This represents the spatial free diffusion time constant, used to compensate for the time it takes for dust to diffuse from the material conveying location to the effective spray section of the environmental protection equipment.

[0119] It can be set according to the belt's no-load maintenance speed or the lowest stable operating speed on site, and is usually set to 0.1m / s to 0.5m / s. It can be obtained through on-site smoke flow tracing, dust diffusion testing, or trial operation data fitting.

[0120] S330, the delay and spatial mapping module 300 will predict the time difference. Convert to the trigger time node under the system absolute clock.

[0121] Specifically, the pollution potential index is generated using the pollution potential quantification module 200. Absolute calculation time Based on this, the delay and spatial mapping module 300 calls the controller's real-time clock data to generate the first... The absolute trigger time corresponding to each environmental protection device The relationship is as follows:

[0122] :

[0123] In the formula, This indicates that, in response to the dust pollution associated with the current batch of materials, the [number]th [item / details] The target time when an environmental protection device or its coverage area should enter a response state.

[0124] S340, Delay and Spatial Mapping Module 300 based on absolute trigger time Construct a feedforward trigger queue.

[0125] To address the time discrepancy between the calculation of the pollution potential index and the actual operation of the environmental protection equipment, the delay and spatial mapping module 300 establishes a fixed-length circular buffer in the main control memory as a feedforward trigger queue. This queue is used to temporarily store data frames that have not yet reached their trigger time.

[0126] The data frame includes at least a pollution potential index. Equipment number and absolute trigger time Among them, the equipment number This is used to characterize the coverage area of ​​benchmark environmental protection equipment expected to reach the pollution source, or to characterize benchmark environmental protection equipment that has a coverage association with that area. In the subsequent scheduling phase, the correction and optimization scheduling module 400 can, based on the equipment number... In addition to the pre-configured equipment coverage relationship table, the set of candidate environmental protection equipment participating in the current cycle solution is obtained.

[0127] When the number of data frames in the feedforward trigger queue reaches the capacity limit, the latency and space mapping module 300 overwrites the data frame with the oldest timestamp according to the writing rules of the circular buffer to prevent the queue from accumulating and causing memory overflow.

[0128] S350, within the system's continuous control cycle, the delay and space mapping module 300 reads the current system clock. And scan the absolute trigger time carried by each data frame in the feedforward trigger queue. When satisfied When the corresponding data frame has reached the trigger time, the delay and space mapping module 300 retrieves the data frame from the feedforward trigger queue and enters the timeliness verification process.

[0129] Considering that industrial controllers may experience delays in trigger judgment due to bus communication blockage, interrupt handling, or scan cycle fluctuations, the delay and spatial mapping module 300 determines the delay after the data frame is dequeued. Is it within the preset valid grace period window? If If the data frame exceeds the effective grace window, it is determined that the corresponding pollution source has exceeded the effective coverage area of ​​the environmental protection equipment, and the delay and spatial mapping module 300 discards the expired data frame; if it does not exceed the effective grace window, the pollution potential index in the data frame is discarded. It is passed to the correction and optimization scheduling module 400 to trigger subsequent space validity calculations and power allocation.

[0130] The effective grace window can be set comprehensively based on the controller scan cycle, fieldbus communication delay, environmental protection equipment start-up and shutdown response time, and the residence time of the pollution source in the corresponding coverage area, so as to ensure that the control action after leaving the team still matches the actual arrival time of the pollution source.

[0131] When multiple data frames that have reached their trigger time and have not expired exist within the same control cycle, the delay and spatial mapping module 300 dequeues these multiple data frames at once and aggregates them according to pollution source batches, target coverage areas, or equipment coverage relationships. For multiple pollution potential indices belonging to the same target coverage area, the delay and spatial mapping module 300 uses a preset aggregation strategy to generate a comprehensive pollution potential demand value for the current control cycle by summing, taking the maximum value, or weighted superposition. The preset aggregation strategy identifier can be configured offline based on the degree of overlap of pollution sources, the computing power of the controller, and the on-site dust suppression safety margin.

[0132] For data frames belonging to different target coverage areas, the latency and spatial mapping module 300 establishes corresponding candidate environmental protection equipment sets and assigns the comprehensive pollution potential demand value corresponding to each coverage area. The data is then passed to the correction and optimization scheduling module 400. The correction and optimization scheduling module 400 then... The spatial validity calculation and power allocation solution are performed on the corresponding candidate environmental protection equipment set.

[0133] For pointer movement, data frame enqueueing and dequeueing, expired frame cleanup, and circular buffer space reclamation in the feedforward trigger queue, those skilled in the art can perform conventional configurations based on the operating system or real-time task scheduling mechanism of the selected industrial controller, which will not be elaborated here.

[0134] Through the above processing, the time delay and spatial mapping module 300 converts the physical arrival relationship between the source pollution potential index and the coverage area of ​​the environmental protection equipment into a trigger queue under the controller clock. The system no longer starts the environmental protection equipment immediately based solely on the generation time of the pollution potential index, but instead performs feedforward triggering based on the estimated time for the pollution source to arrive at each coverage area along the transport path. This reduces ineffective operation before the pollution source arrives and improves the temporal and spatial matching degree between water mist dust suppression action and dust diffusion process.

[0135] See attached document Figure 6 The correction and optimization scheduling module 400 is communicatively connected to the delay and spatial mapping module 300. Upon receiving pollution potential demand data after deployment, it combines on-site meteorological conditions, spatial obstruction relationships, and the operating status of environmental protection equipment to screen and allocate power to the participating environmental protection equipment. Its processing includes the following steps.

[0136] S410, the correction and optimization scheduling module 400 performs joint correction of static spatial occlusion factors and dynamic meteorological factors.

[0137] The dust diffusion path and water mist spray trajectory at a mining site are typically influenced by factors such as natural wind fields, trestle bridges, buildings, and mountain slopes. The correction and optimization scheduling module 400 obtains the real-time environmental wind speed from the data sensing and filtering module 100. and wind deflection angle And read the static topology masking matrix pre-stored in the main control memory. .

[0138] Static topological masking matrix elements in Used to characterize the The effective coverage reduction of an environmental protection device in three-dimensional space after being affected by a fixed obstruction. The value of this element ranges from [0.1, 1.0]. The smaller the value, the more obvious the obstruction is to the spray path or coverage space of the environmental protection device. It can be determined offline through on-site measurement, 3D modeling, spatial projection analysis, or trial operation calibration.

[0139] The correction and optimization scheduling module 400 calculates the first step based on the static topology masking coefficient, wind direction angle correction term, and wind speed attenuation correction term. The overall effectiveness coefficient of individual environmental protection equipment Among them, the wind direction deviation correction term is used to characterize the degree of deviation between the natural wind direction and the main injection direction of the equipment; the wind speed attenuation correction term is used to characterize the real-time wind speed. The degree of reduction in water mist range, droplet stability, and coverage.

[0140] When the natural wind direction deviates significantly from the main spray direction of the equipment, the water mist spray trajectory may deviate from the target area; when the wind speed exceeds the equipment's wind resistance spraying capacity, even if the equipment is in operation, its actual dust suppression coverage effect will be significantly reduced. To avoid negative validity in calculations under headwind or strong wind conditions, the correction and optimization scheduling module 400 sets non-negative constraints on the wind direction angle correction item.

[0141] When real-time wind speed When the wind speed attenuation correction term is less than or equal to the preset wind resistance threshold, The value is close to 1; when the real-time wind speed When the wind resistance threshold is greater than the preset threshold, It decreases as the real-time wind speed increases. If If the wind speed is below the preset effective threshold, the correction and optimization scheduling module 400 determines that the corresponding environmental protection equipment does not have effective spraying conditions in the current control cycle and removes it from the candidate available queue.

[0142] In the specific calculation, the correction and optimization scheduling module 400 introduces a wind speed attenuation correction term based on the wind direction angle correction result. This forms the final comprehensive effectiveness coefficient. Its spatial dimensionality reduction compensation relationship can be expressed as:

[0143] ;

[0144] In the formula, Indicates device Real-world dustfall efficiency reduction ratio under current wind direction and terrain conditions; This represents the static topology masking coefficient corresponding to the device; This indicates the absolute azimuth of the wind direction collected in real time by the meteorological micro-station; Indicates device The main spraying reference azimuth angle is solidified during installation and construction. Indicates real-time wind speed The corresponding wind speed attenuation correction term is used to characterize the degree to which wind speed weakens the stability of water mist coverage and the effective spray distance.

[0145] and The same spatial coordinate reference and angle unit are used, with the due north direction or the preset zero-degree direction in the offline three-dimensional topological coordinate system of the mining area as the starting direction. The absolute azimuth of the wind direction is the wind field direction after conversion by the controller, which is used to eliminate the influence of inconsistencies in the original output formats of different meteorological instruments on subsequent calculations.

[0146] Through the above processing, the correction and optimization scheduling module 400 incorporates wind direction deviation, wind speed attenuation, and fixed obstruction factors into the same effectiveness evaluation system, thereby obtaining the actual availability of each environmental protection device within the current control cycle.

[0147] S420, the correction and optimization scheduling module 400 filters candidate devices based on the comprehensive effectiveness coefficient and calculates the operating cost of the retained devices.

[0148] Under headwind, strong wind, or severe obstruction conditions, the overall effectiveness coefficient of some environmental protection equipment The value may be close to zero. If power continues to be allocated to this type of equipment, not only will it be difficult to achieve effective dust suppression coverage, but it will also increase water, electricity, and equipment losses. Therefore, the correction and optimization scheduling module 400 sets an effective lower limit threshold. and will and Compare them. The value can be determined based on the wind resistance of the spraying equipment, the coverage radius, the on-site dust suppression safety margin, and historical operating data, and is usually taken as 0.2 to 0.35.

[0149] when At that time, the correction and optimization scheduling module 400 will... Each piece of environmental protection equipment is removed from the current candidate available queue, preventing it from participating in this round of power allocation calculation. When the candidate available queue is empty after removing invalid equipment, the correction and optimization scheduling module 400 stops executing the linear programming solution, generates an abnormal state flag indicating that the current coverage area cannot effectively reduce dust, and outputs alarm information to the upper-level monitoring system. At the same time, the system can maintain the most recent effective control command, start upstream associated environmental protection equipment, reduce the production line feeding rate, or request manual intervention according to preset safety strategies.

[0150] For the available environmental protection equipment retained in the candidate queue, the correction and optimization scheduling module 400 further calculates the comprehensive operating cost parameters of each piece of equipment. This parameter is used to prioritize equipment deployment while meeting pollution potential coverage requirements. (Comprehensive operating cost parameter) It is at least related to the cumulative operating time of the equipment, the temperature rise parameter of the frequency converter, and the comprehensive effectiveness conversion item.

[0151] The specific cost calculation relationship can be expressed as follows:

[0152] ;

[0153] In the formula, Indicates the first The comprehensive operating cost of each environmental protection device during the current scheduling cycle; This indicates the cumulative operating time of the equipment; This indicates the real-time temperature rise of the frequency converter in the device; Indicates the maximum maintenance time for the equipment; Indicates the inverter temperature rise alarm threshold; , , This represents the weighting coefficient, used to adjust the proportion of each cost term in the objective function; It represents a minimal positive real constant.

[0154] Weighting coefficient , , It can be configured according to the equipment lifespan balancing requirements, temperature rise protection requirements, and on-site dust suppression priorities, and meets the following requirements. . This is used to improve the stability of numerical calculations and avoid abnormal cost abrupt changes caused by the effectiveness conversion term under extreme operating conditions.

[0155] S430, the correction and optimization scheduling module 400 performs power allocation optimization within the candidate device set.

[0156] The correction and optimization scheduling module 400 uses the current period's comprehensive pollution potential demand value. For the target to be covered, and based on the candidates retained in the candidate queue The environmental protection equipment is taken as the solution object. Under the premise of satisfying the pollution potential coverage constraint, the module constructs a linear programming model with the objective of minimizing the overall system operating cost.

[0157] The objective function is:

[0158] ;

[0159] Meanwhile, the correction and optimization scheduling module 400 configures multiple state constraints for the objective function:

[0160] ;

[0161] ;

[0162] In the formula, This represents the operation of finding the minimum value of the objective function; This represents the total weighted cost of the entire system during the current scheduling cycle; This indicates the number of usable environmental protection equipment remaining after removing invalid equipment; This represents the index of available environmental protection equipment in the candidate queue; Indicates the first Comprehensive operating cost parameters for each candidate environmental protection device; Indicates the first Output power allocation rate of candidate environmental protection equipment.

[0163] When there is only one valid dequeue data frame in the same control cycle Equal to the pollution potential index carried by the data frame When multiple valid dequeue data frames exist within the same control cycle, It is calculated by the delay and spatial mapping module 300 according to the preset aggregation strategy.

[0164] The aforementioned pollution potential coverage constraint is used to ensure that the overall offsetting capacity of candidate environmental protection devices under current effectiveness conditions is not less than [a certain percentage]. Output power allocation rate constraint Used to limit the adjustment range of each environmental protection device, so that it conforms to the physical output boundaries of the frequency converter and actuator.

[0165] Before initiating the linear programming solution, the correction and optimization scheduling module 400 first performs a boundary capacity check. This check is performed only when the combined offsetting capacity of all candidate environmental protection devices is still less than the current cycle's comprehensive pollution potential demand. At this point, the correction and optimization scheduling module 400 determines that the current operating condition is in an overload state and skips the linear programming solution process. At this time, the correction and optimization scheduling module 400 allocates the output power of all environmental protection equipment in the candidate queue to... Set to 1 and output an overload alarm flag to the upper-level monitoring system to indicate that the current combination of environmental protection equipment cannot fully cover the potential pollution demand.

[0166] When the capacity verification meets the requirements and the number of candidate available devices is greater than zero, the correction and optimization scheduling module 400 enters the linear programming solution process. The module calls the linear programming calculation engine configured in the controller kernel to solve the above objective function and constraints, obtaining the output power allocation matrix that satisfies the constraints.

[0167] ;

[0168] Output power distribution matrix The elements in the matrix are arranged in order of device index in the candidate available device set. The correction and optimization scheduling module 400 uses the candidate device index table to adjust the matrix. The elements in the system are mapped to the original equipment numbers of all environmental protection equipment in the mining area. For environmental protection equipment that does not enter the candidate available equipment set due to insufficient effectiveness, malfunction, overheating, or other reasons, the correction and optimization scheduling module 400 sets its output power allocation rate to 0 in the global equipment control matrix.

[0169] The deployment of the linear programming solver, the setting of the solution accuracy, the iteration termination conditions, and the internal calling methods of the controller can be conventionally configured by those skilled in the art based on the computing resources and mathematical library functions of the industrial controller used, and will not be elaborated here.

[0170] Through the aforementioned scheduling process, the correction and optimization scheduling module 400 allocates the output power of environmental protection equipment based on factors such as wind field, terrain obstruction, equipment temperature rise, and operational lifespan. This approach reduces ineffective equipment usage, lowers equipment wear and operating energy consumption, and improves the targeting of pollution potential coverage.

[0171] See attached document Figure 7 The damping state execution module 500 is communicatively connected to the correction and optimization scheduling module 400 and the underlying field devices. It is used to convert the output power distribution matrix into inverter control commands that can be recognized by the underlying electrical actuators, and to perform delayed attenuation control on the environmental protection equipment when the production line is stopped. Its processing includes the following steps.

[0172] S510, the damping state execution module 500 receives the output power allocation rate matrix output by the correction and optimization scheduling module 400. .in, Indicates the first Output power allocation rate of candidate environmental protection equipment.

[0173] Since the underlying environmental protection equipment typically uses frequency converters to receive frequency signals to control the speed of water pumps, fans, or atomizing actuators, the damping state execution module 500 will output a power distribution matrix. The elements in the code are converted into the frequency command given by the inverter of the corresponding environmental protection equipment.

[0174] For output power allocation rate For environmental protection equipment with a frequency range equal to or below the preset dead-zone threshold, the damping state execution module 500 does not perform frequency mapping, but instead sends a shutdown control word to the corresponding strain gauge, or keeps the environmental protection equipment in the off state. (Regarding output power distribution rate...) For environmental protection equipment with a speed exceeding the preset dead zone threshold, the damping state execution module 500 generates a target operating frequency according to the linear mapping relationship between the minimum and maximum operating frequencies.

[0175] For output power allocation rate For environmental protection equipment with a startup dead zone threshold higher than the preset threshold, the target operating frequency is determined according to the following relationship:

[0176] ;

[0177] In the formula, Indicates that it is issued to the first The target operating frequency of the frequency converter driving the environmental protection equipment; Represents the first in the matrix Output power allocation rate of each device; This indicates the highest operating frequency that the frequency converter is allowed to output, which is usually configured as 50Hz according to domestic power grid standards. This indicates the lower limit frequency set to prevent low-frequency overload heating of the water pump motor and to ensure the minimum atomization pressure of the nozzle.

[0178] In this embodiment, It can be set according to the rated output frequency of the inverter, which is usually 50Hz; To ensure the water pump motor operates within a safe low-frequency range and maintains the minimum atomization pressure of the nozzle, it is typically configured at 20Hz to 25Hz. It should be noted that... This does not mean that the environmental protection equipment still needs to be driven when the output power distribution rate is 0; when When the value is 0 or lower than the preset start-up dead zone threshold, the control status of the corresponding environmental protection equipment is shutdown or off.

[0179] The damping state execution module 500 obtains the target operating frequency. Then, it is converted into the frequency setpoint control word required by the inverter communication protocol and written to the corresponding inverter register. For the conversion between frequency value and digital control word, control word concatenation, and register writing based on PROFINET or Modbus bus, those skilled in the art can set according to the inverter communication manual and field controller configuration rules, which will not be elaborated here.

[0180] S520, the damping state execution module 500, determines the shutdown status of the mining production line.

[0181] To avoid misjudgments caused by uneven material distribution, short-term material interruption, or transient zero values ​​generated by sensor drift in belt scales, the damping state execution module 500 is equipped with a state anti-shake timer and uses material flow rate and main motor load to jointly determine the shutdown state.

[0182] When the data sensing and filtering module 100 feeds back the instantaneous material flow rate When the main motor steady-state current, after being filtered through a sliding time window, drops back to within the allowable deviation range of the no-load current reference, the damping state execution module 500 starts timing. If the duration of the above two states exceeds the preset anti-shake time window... If the damping state execution module 500 determines that the production line has entered a process shutdown state, it will trigger the damping attenuation control process.

[0183] Among them, the zero-point dead zone can be set based on the belt scale's baseline drift range and the minimum identifiable material flow rate; the allowable deviation range of the no-load current reference can be determined based on the crusher's no-load operation calibration data; and the anti-vibration time window... Used to filter out false alarms caused by short-term flow fluctuations and transient current drops.

[0184] S530, when it is determined that the process has entered the shutdown state, the damping state execution module 500 shields the real-time power allocation command that the correction and optimization scheduling module 400 continues to issue during the shutdown phase, and switches to the damping attenuation operation mode.

[0185] When entering the damping attenuation operation mode, the damping state execution module 500 sends a shutdown status flag to the time delay and spatial mapping module 300. According to a preset shutdown queue processing strategy, the time delay and spatial mapping module 300 freezes or clears any unexecuted production-state data frames in the feedforward trigger queue and suspends receiving newly generated production-state trigger data from the pollution potential quantification module 200 until the production line re-enters a stable operating state. This process prevents historical trigger frames from restarting the environmental protection equipment after a shutdown.

[0186] In damping attenuation operation mode, the damping state execution module 500 does not immediately cut off the power supply to the environmental protection equipment, but instead controls the frequency converter to gradually decrease according to the natural settling process of dust. After the production line stops, although the dynamic dust source has stopped, there may still be suspended dust in the air; this part of the dust gradually settles under the action of gravity, air viscous resistance, and on-site airflow. If the environmental protection equipment is shut down immediately at the moment of shutdown, it is easy to cause the residual dust in the early stage of shutdown to not be fully suppressed.

[0187] Therefore, the damping state execution module 500 uses the steady-state operating frequency recorded before the shutdown trigger as the initial frequency. The real-time frequency setpoint after shutdown is generated according to the negative exponential decay relationship. The damping decay control relationship can be expressed as:

[0188] ;

[0189] In the formula, Represents any actual operating time after shutdown. The inverter attenuates the given frequency. This indicates the initial operating frequency recorded the moment the system confirms entering the shutdown state; This indicates the minimum maintenance frequency under operating conditions of environmental protection equipment; This indicates the start timestamp of when the system confirmed entering the shutdown state; Represents the natural constant; This represents the damping constant for environmental dust settling.

[0190] It is used to characterize the dust settling velocity under specific dust particle size, air humidity and on-site airflow conditions. Its value can be obtained by on-site dust concentration decay half-life test or trial operation data fitting, and can usually be configured between 0.01 and 0.05.

[0191] S540, the damping state execution module 500 repeatedly performs damping attenuation calculations according to a preset timed interrupt cycle, and sends progressively decreasing frequency control words to the corresponding strain gauge. As time passes after shutdown... The increase, Gradually towards As the system converges, the spray volume and spray range of the environmental protection equipment decrease smoothly, ensuring that the output attenuation process of the environmental protection equipment corresponds to the decrease in residual dust concentration in time.

[0192] The damping state execution module 500 terminates the damping attenuation operation mode when any of the following conditions are met:

[0193] First, the time elapsed after shutdown. The system achieves the preset maximum safe settlement period; secondly, it attenuates the given frequency in real time. Less than or equal to The sum of the preset tolerance.

[0194] After the above conditions are met, the damping state execution module 500 sends a shutdown enable control word or a shutdown control word to the frequency converter to shut down the corresponding environmental protection equipment.

[0195] Through the above execution process, the damping state execution module 500 converts the output power allocation rate obtained from the upper-level scheduling into the frequency command of the lower-level frequency converter, and introduces smooth attenuation control after the production line stops. This approach avoids insufficient residual dust suppression caused by the environmental protection equipment being directly disconnected at the moment of shutdown, while reducing the long-term ineffective operation of the equipment, and achieving a match between the action sequence of the environmental protection equipment and the dust retention characteristics.

[0196] To enable those skilled in the art to more clearly understand the physical implementation process and beneficial effects of the above control logic in the engineering field, the present invention will be further explained below with reference to the comparative experimental data of specific mining crushing and conveying station scenarios.

[0197] See attached document Figure 8 , Figure 8 This is a diagram showing the timing and numerical derivation relationship of the control algorithm logic according to an embodiment of the present invention. In this application scenario, it is assumed that the system is used for dust suppression control of a jaw crusher and its downstream main conveyor belt in an open-pit mine.

[0198] During a certain production period (with an absolute time set as...) The data sensing and filtering module 100 collects the instantaneous material flow rate through the belt scale. Meanwhile, the underlying controller performs time-width analysis on the transient current of the crusher's main motor. A sliding time window filter was applied. Within this 1-second span, due to the impact of a large amount of raw ore being thrown into the crushing chamber, the average steady-state current of the main motor surged from 200A to 245A. The data sensing and filtering module 100 calculated the steady-state current difference value. .

[0199] Subsequently, the pollution potential quantification module 200 takes over the aforementioned parameters. Based on the on-site dust calibration data, it presets the flow rate dust generation coefficient. Process impact coefficient Environmental background constant Substituting into the pollution potential model, due to The model performs effective computation:

[0200] ;

[0201] Calculations yielded a dimensionless pollution potential index of 71. This value exceeds the expected stable dust generation from conventional flow rates, highlighting the high pollution potential resulting from material breakage and impact.

[0202] In response to this sudden high potential index, the latency and spatial mapping module 300 intervened to perform spatiotemporal conversion. After querying the offline 3D topological coordinates, the distance of the downstream No. 1 fog cannon equipment from the material drop point was determined. Current main belt linear speed Spatial free diffusion time constant Calculated based on the expected time difference formula:

[0203] ;

[0204] The controller will generate a pollution potential index of 71 and a trigger target time. Bind and push into the feedforward trigger queue.

[0205] When the absolute clock reaches At this time, the correction and optimization scheduling module 400 dequeues the instruction and simultaneously reads the data from the on-site meteorological micro-station. Assume the ambient wind speed at this time... The angle between the wind direction and the main spray direction of the No. 1 fog cannon results in a deflection correction term of 0.9, and the range reduction correction term due to wind speed... And there is no static occlusion ( The 400-level correction and optimization scheduling module calculates the overall effectiveness coefficient of device number 1. Since 0.72 is greater than the set validity threshold of 0.3, the device is retained in the candidate queue. Subsequently, the correction and optimization scheduling module 400 uses linear programming to solve the problem and, while considering operational costs, allocates an output power allocation rate to device 1. .

[0206] Finally, the damping state execution module 500 will This is mapped to the inverter frequency command. Assume the inverter's highest operating frequency. Lower limit frequency The target operating frequency is calculated as follows:

[0207] ;

[0208] The damping state execution module 500 then sends a 45.5Hz control command to the No. 1 fog cannon, achieving precise full-load water mist interception at the exact moment when the dust arrives at the coverage area of ​​the No. 1 fog cannon along with the belt.

[0209] Assuming in At a certain moment, the mining process issues a shutdown command, the material flow rate returns to zero, and the current drops back to no-load. After the damping state execution module 500 determines that the shutdown anti-shake time window has been established, it does not immediately disconnect the inverter contactor, but instead extracts... Initial operating frequency at time The settling damping constant of dust with a specific particle size is known at the site. The system enters damping decay mode. On the [number]th day after shutdown... Seconds, inverter frequency according to The nonlinear trajectory descends smoothly. As time progresses, the sprayed water volume and range gradually decrease with the natural settling of dust until the preset safe settling period is reached, at which point the machine is completely shut down.

[0210] See attached document Figure 9 , Figure 9 This is a data graph comparing and verifying the system control effect according to an embodiment of the present invention. Figure 9 The upper part of the graph shows a comparison of real-time dust concentration changes, while the lower part shows a cumulative bar chart comparison of energy consumption of environmental protection equipment over the corresponding time period. To verify the actual technical effectiveness of the control system of this invention, an experimental verification environment was deployed on the aforementioned aggregate production line. The comparison object was a traditional interlocking feedback control system based on the upper limit threshold of dust concentration (control group). The experimental period was set to 60 minutes, during which high-load large pieces of material were artificially added at the 10th minute to simulate impact conditions, and a process shutdown operation was performed at the 40th minute.

[0211] Observation Appendix Figure 9The concentration curve distribution shows that during the stable operation phase from 0 to 10 minutes, both control methods can maintain the dust concentration at a low level. However, when the shock condition occurs at the 10-minute mark, the dust concentration curve of the control group exhibits a significant time lag. Because it takes time for dust to disperse from its generation to the sensor location, the control group only detects the concentration spike at the 12-minute mark and activates the environmental protection equipment at full load, causing the peak dust concentration at the test point to exceed 150 mg / m³. 3 In contrast, this embodiment of the invention relies on a current differential feedforward and spatiotemporal mapping algorithm to raise the target device frequency to a high level as early as 10.5 minutes in advance, forming a water mist isolation cover and effectively suppressing the dust peak to 45mg / m³. 3 Within.

[0212] The differences became more pronounced after the process shutdown was performed at the 40-minute mark. The control group system directly cut off the inverter power supply after detecting the belt stoppage. Without dynamic water mist suppression, the residual high-concentration dust suspended in mid-air escaped a second time, causing the concentration curve to reach as high as 80 mg / m³ at the 42-minute mark. 3 The abnormal rebound occurred. In this embodiment of the invention, the damping state execution module 500 performed an exponential decay soft shutdown lasting approximately 120 seconds after shutdown. During this period, the inverter frequency smoothly decreased from the power frequency to the lower limit frequency, and the dust suppression action perfectly covered the natural gravity settling cycle of the dust. No rebound peaks were observed at the test point concentration, and the concentration smoothly transitioned to the environmental background value.

[0213] Regarding energy consumption and resource consumption, the observation appendix Figure 9 The lower half of the data is presented in bar charts. Because this embodiment of the invention incorporates a comprehensive effectiveness coefficient based on meteorological conditions such as wind direction and speed for multi-objective linear programming optimization, it automatically eliminates corresponding equipment under ineffective operating conditions such as headwinds, and avoids the full-power oscillation start-stop caused by frequent limit violations in the control group. During the testing period, the overall water consumption of the system in this embodiment of the invention decreased by 21.4% compared to the control group, the inverter's operating power consumption decreased by 17.6%, and the number of mechanical start-stop impacts was significantly reduced.

[0214] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An integrated management and control system for mine ecological and environmental protection equipment, characterized in that, include: The data sensing and filtering module is used to collect process parameter data, meteorological environment data and environmental protection equipment operation status data at the mine site, and to perform sliding time window filtering on the collected transient current of the main motor to obtain the mean steady-state current and the steady-state current difference value. The pollution potential quantification module is connected to the data sensing and filtering module. It is used to receive the steady-state current difference value and calculate the pollution potential index in combination with the instantaneous material flow rate. The pollution potential index is used to characterize the dust generation intensity at the source of mine production. The time delay and spatial mapping module is connected to the pollution potential quantification module. It is used to establish a time-space mapping relationship based on the material conveying path, calculate the expected time difference of the pollution source reaching the coverage area of ​​each environmental protection equipment, and generate a feedforward trigger queue with a trigger timestamp based on the expected time difference. The correction and optimization scheduling module, connected to the delay and spatial mapping module, is used to calculate the comprehensive effectiveness coefficient of each environmental protection device at the trigger time corresponding to the feedforward trigger queue, combining the meteorological environment data and the offline configured static topology masking matrix, and to obtain the output power allocation rate matrix based on the candidate available environmental protection devices after eliminating invalid devices. The damping state execution module, connected to the correction and optimization scheduling module, is used to convert the output power distribution rate matrix into inverter frequency commands and send them to the electrical actuators. When the process shutdown state is detected, the inverter frequency commands are controlled to perform damping attenuation control. The correction and optimization scheduling module calculates the comprehensive effectiveness coefficient of each environmental protection device, specifically including: Real-time wind speed and wind direction angle are extracted from the meteorological environmental data. The static topology masking matrix includes masking coefficients corresponding to each environmental protection device. The masking coefficients are used to characterize the degree of effective coverage reduction of the corresponding environmental protection device after it is affected by a fixed obstruction in three-dimensional space. A non-negative wind direction deviation correction term is determined based on the wind direction deviation angle, which is used to characterize the degree of deviation between the natural wind direction and the main injection direction of the corresponding environmental protection equipment; a wind speed attenuation correction term is determined based on the real-time wind speed, which is used to characterize the degree of weakening of the effective injection capability of the corresponding environmental protection equipment by the real-time wind speed. Multiply the masking coefficients in the static topology masking matrix, the non-negative wind direction correction term corresponding to the wind direction angle, and the wind speed attenuation correction term corresponding to the real-time wind speed to obtain the comprehensive effectiveness coefficient of the corresponding environmental protection equipment. Wherein, when the real-time wind speed is greater than the preset wind resistance threshold, the wind speed attenuation correction term decreases as the real-time wind speed increases; When the calculated comprehensive effectiveness coefficient is lower than the preset lower threshold of effectiveness, it is determined that the corresponding environmental protection equipment does not have effective spraying conditions, and it is removed from the candidate queue to obtain the candidate usable environmental protection equipment.

2. The integrated management and control system for mine ecological and environmental protection equipment according to claim 1, characterized in that, The data sensing and filtering module performs sliding time window filtering on the collected transient current of the main motor to obtain the mean steady-state current and the steady-state current difference value, specifically including: A first-in-first-out data queue is constructed as a sliding time window to buffer the transient current of the main motor in the time domain in order to calculate the mean steady-state current at the current moment. Read the historical steady-state current value at a complete sliding time window span before the current moment, and perform a difference operation between the mean steady-state current value at the current moment and the historical steady-state current value to extract the steady-state current difference value that represents the increment of the crushing work load.

3. The integrated management and control system for mine ecological and environmental protection equipment according to claim 1, characterized in that, The pollution potential quantification module calculates the pollution potential index by combining instantaneous material flow rate, specifically including: When the steady-state current difference value is greater than or equal to zero, the product of the instantaneous material flow rate and the preset flow rate dust generation coefficient is used as the basic dust generation amount. The steady-state current difference value is converted based on the time width of the sliding time window and multiplied by the preset process impact coefficient to obtain the impact dust generation increment. The pollution potential index at the current moment is obtained by adding the basic dust generation, the incremental dust generation due to impact, and the environmental background constant.

4. The integrated management and control system for mine ecological and environmental protection equipment according to claim 1, characterized in that, The delay and spatial mapping module calculates the expected time difference and generates a feedforward trigger queue, specifically including: The length of the conveying path from the pollution source's material drop point to the coverage area of ​​each environmental protection equipment is obtained. Combined with the real-time obtained main belt speed and the preset spatial free diffusion time constant, the estimated time difference of the pollution source reaching the coverage area of ​​each environmental protection equipment is calculated. The absolute trigger time is generated by adding the estimated time difference to the absolute calculation time of the pollution potential index, and the data frame containing the pollution potential index and the absolute trigger time is written into the feedforward trigger queue.

5. The integrated management and control system for mine ecological and environmental protection equipment according to claim 1, characterized in that, The correction and optimization scheduling module obtains the output power allocation rate matrix based on the candidate available environmental protection equipment, specifically including: For the candidate available environmental protection equipment, a comprehensive operating cost parameter is constructed by combining the cumulative operating time of the equipment, the inverter temperature rise parameter and the comprehensive effectiveness coefficient in the environmental protection equipment operating status data; The objective function is to minimize the overall system operating cost, and the constraint condition is to meet the current comprehensive pollution potential demand. A linear programming solution is performed with the output power allocation rate as the independent variable to generate the output power allocation rate matrix containing the allocation rates of each available environmental protection device.

6. The integrated management and control system for mine ecological and environmental protection equipment according to claim 1, characterized in that, The damping state execution module converts the output power distribution rate matrix into inverter frequency commands, specifically including: For environmental protection equipment whose allocation rate in the output power allocation rate matrix is ​​higher than the preset start-up dead zone threshold, the target operating frequency is calculated based on the inverter's highest operating frequency and lower limit frequency according to a linear proportional mapping relationship, and then converted into the corresponding inverter frequency command and issued. For environmental protection equipment whose distribution rate in the output power distribution rate matrix is ​​equal to zero or lower than the preset start-up dead zone threshold, a shutdown control word is sent to the corresponding frequency converter or the device is kept in a closed state.

7. The integrated management and control system for mine ecological and environmental protection equipment according to claim 1, characterized in that, The damping state execution module monitors the process shutdown status, specifically including: When the instantaneous material flow rate is detected to drop to the preset zero dead zone and the steady-state average current value falls back to the allowable deviation range of the no-load current reference, the state anti-shake timer is started. If the instantaneous material flow rate remains within the preset zero dead zone, and the steady-state average current remains within the allowable deviation range of the no-load current reference for a duration exceeding the preset anti-shake time window, then the process is determined to enter a shutdown state. At this time, the real-time power allocation command issued by the correction and optimization scheduling module during the shutdown phase is blocked, and the system switches to damping attenuation operation mode.

8. The integrated management and control system for mine ecological and environmental protection equipment according to claim 7, characterized in that, The damping state execution module controls the frequency command of the frequency converter to execute damping attenuation control in the damping attenuation operation mode, specifically including: Starting from the initial operating frequency recorded at the moment of entering the process shutdown state, and ending at the lower limit of the maintenance frequency, a negative exponential decay curve is constructed based on the environmental dust settling damping constant. The real-time attenuation is controlled to gradually and smoothly converge from the initial operating frequency to the lower limit of the maintenance frequency according to the negative exponential attenuation curve. When the elapsed time after shutdown reaches the preset maximum safe settlement period, or when the real-time attenuation given frequency decreases to the sum of the lower limit of the maintenance frequency and the preset tolerance, a shutdown command is sent to the corresponding strain gauge.

9. A method for integrated management and control of mine ecological and environmental protection equipment, applied to an integrated management and control system for mine ecological and environmental protection equipment as described in any one of claims 1-8, characterized in that, Includes the following steps: Collect process parameter data, meteorological environment data, and environmental protection equipment operation status data from the mine site, and perform sliding time window filtering on the collected transient current of the main motor to obtain the mean steady-state current and steady-state current difference value. The steady-state current difference value is received and combined with the instantaneous material flow rate to calculate the pollution potential index, which is used to characterize the dust generation intensity at the source of mine production. Establish a spatiotemporal mapping relationship based on the material conveying path, calculate the estimated time difference of pollution sources reaching the coverage area of ​​each environmental protection equipment, and generate a feedforward trigger queue with trigger timestamps based on the estimated time difference; At the triggering time corresponding to the feedforward triggering queue, the comprehensive effectiveness coefficient of each environmental protection device is calculated by combining the meteorological environment data and the offline configured static topology masking matrix, and the output power allocation rate matrix is ​​obtained based on the candidate available environmental protection devices after eliminating invalid devices; The output power distribution matrix is ​​converted into a frequency converter command and sent to the electrical actuator. When a process shutdown is detected, the frequency converter command is controlled to perform damping attenuation control.

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