Explosion-proof control method and device for powder processing equipment

Abstract

The application provides an explosion-proof control method and device of a powder processing equipment, relates to the technical field of powder processing safety and explosion-proof, and the method comprises the following steps: acquiring multi-dimensional state parameters of multiple process regions of the powder processing equipment divided along a process flow direction; performing weighted calculation on the multi-dimensional state parameters based on weights configured for the process regions to obtain local comprehensive risk values of the process regions, wherein the weights configured for different process regions are different; and performing a cooperative control action with an intervention intensity or intervention range increasing with the increase of a risk level according to a risk level of the local comprehensive risk values, wherein the cooperative control action at least comprises local process inhibition for a single process region and cross-region physical isolation. The application realizes accurate risk assessment and gradientized cooperative protection in different regions, effectively avoids false shutdown and blocks the cross-region propagation of explosion.

Description

Technical Field

[0001] This application relates to the field of explosion-proof safety in powder processing, and more specifically, to an explosion-proof control method and device for powder processing equipment. Background Technology

[0002] Currently, in the powder processing field, explosion-proof control for equipment such as air jet mills and classifiers typically employs single-parameter monitoring or a globally unified protection strategy. However, existing solutions often lack detailed zoning of the equipment and a differentiated assessment mechanism for the explosion risk characteristics of different process areas, resulting in an inability to accurately identify local high-risk conditions. Furthermore, existing explosion-proof response logic is mostly based on single-point triggering followed by machine-wide interlocking shutdown, lacking progressive collaborative intervention methods based on risk levels and cross-zone physical isolation capabilities. This crude explosion-proof control mode is not only prone to frequent false shutdowns due to instantaneous signal disturbances, severely impacting production continuity, but also struggles to effectively block the cross-zone propagation of flames and pressure waves during a real explosion, posing significant safety hazards. Summary of the Invention

[0003] The purpose of this application is to provide an explosion-proof control method and device for powder processing equipment, which solves the above-mentioned problems existing in the prior art. It can realize differentiated risk quantification and progressive collaborative protection for each process area of ​​the equipment, thereby maximizing the maintenance of production continuity while ensuring safety.

[0004] Firstly, an explosion-proof control method for powder processing equipment is provided, which may include: Obtain multidimensional state parameters of multiple process zones divided along the process flow direction in the powder processing equipment; Based on the configured weights of each process region, the multidimensional state parameters are weighted and calculated to obtain the local comprehensive risk value of each process region; wherein the weight configurations of different process regions are different. Based on the risk level of the local comprehensive risk value, implement coordinated control actions with increasing intervention intensity and scope as the risk level increases; The coordinated control actions include at least local process suppression for a single process region and cross-regional physical isolation between the process region in a high-risk state and adjacent process regions.

[0005] In one possible implementation, the multidimensional state parameters include oxygen concentration, temperature, pressure, dust concentration, and electrostatic potential; The weights are set according to the explosion risk characteristics of each process area.

[0006] In one possible implementation, the multidimensional state parameters are weighted and calculated based on the configured weights of each process region to obtain the local comprehensive risk value of each process region, including: The multidimensional state parameters are normalized and mapped to obtain normalized parameter values ​​with uniform dimensions; when the normalized parameter values ​​exceed a preset range, truncation is performed. Based on the weights corresponding to each process region, the normalized parameter values ​​are weighted and summed to obtain the local comprehensive risk value; wherein, the sum of the weights corresponding to each of the multidimensional state parameters is 1.

[0007] In one possible implementation, the risk levels include normal state, early warning state, load reduction protection state, and emergency interlock state; The localized process suppression includes injecting inert gas into the corresponding process area and / or reducing the operating load of the powder processing equipment; The cross-regional physical isolation includes closing the physical passage between the process area in a high-risk state and the adjacent process area.

[0008] In one possible implementation, when the local integrated risk value is in the emergency interlock state, the coordinated control actions are executed sequentially according to priority: Close the upstream and downstream isolation valves of the process area that is in a high-risk state; Inert gas inertization is performed on the process area that is in a high-risk state; Increase the monitoring sampling frequency of adjacent process areas; Trigger the explosion venting device in the process area that is in a high-risk state; If the preset mitigation measures fail to suppress the risk, the entire machine will be shut down. During the execution of the coordinated control action, the process area in the non-hazardous area remains in normal operation.

[0009] In one possible implementation, based on the risk level of the local comprehensive risk value, coordinated control actions are performed with the intervention intensity or scope increasing as the risk level increases, including: Before triggering the collaborative control action, a confirmation mechanism to prevent accidental triggering is executed; The anti-false triggering confirmation mechanism requires the following conditions to be met simultaneously: the multi-dimensional state parameters or the local comprehensive risk value of the target process area exceed the corresponding preset threshold within N consecutive sampling periods, and there is at least one abnormal signal from the adjacent process area as a cross-area confirmation. If the conditions are not met simultaneously, it is determined to be a transient disturbance and the current state is maintained.

[0010] In one possible implementation, the process areas of the powder processing equipment along the process flow direction include a feeding airlock zone, a crushing chamber main explosion zone, a classifying wheel zone, and a bag filter dust collection zone.

[0011] Secondly, an explosion-proof control device for powder processing equipment is provided, the device including: The acquisition unit is used to acquire multidimensional state parameters of multiple process regions divided along the process flow direction of the powder processing equipment; The calculation unit is used to perform weighted calculation on the multidimensional state parameters based on the configured weights of each process region to obtain the local comprehensive risk value of each process region; wherein the weight configurations of different process regions are different; The execution unit is used to perform coordinated control actions, with the intervention intensity and scope increasing as the risk level increases, based on the risk level of the local comprehensive risk value. The coordinated control actions include at least local process suppression for a single process region and cross-regional physical isolation between the process region in a high-risk state and adjacent process regions.

[0012] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.

[0013] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.

[0014] The technical solution provided in this application achieves refined spatial decoupling and quantitative assessment of internal risks in powder processing equipment by dividing the process flow into multiple process zones and configuring exclusive differentiated weights. Compared with the global unified monitoring of existing technologies, this mechanism can accurately reflect the essential differences in the explosion risk composition of different zones (such as the core crushing zone and the dust removal zone), avoiding global misjudgments caused by fluctuations in parameters of non-critical zones.

[0015] Furthermore, by establishing a gradient mapping relationship between risk levels and coordinated control actions, a progressive intervention strategy, ranging from local process suppression to cross-regional physical isolation, can be automatically matched based on the degree of increase in the local comprehensive risk value. This graded response mechanism can maintain production continuity in the early stages of risk through low-interference measures (such as nitrogen replenishment and load reduction), and can also quickly cut off physical channels and implement ultimate protection when the risk gets out of control, effectively resolving the contradiction between capacity loss and lagging safety protection caused by traditional one-size-fits-all shutdowns.

[0016] Furthermore, by combining the continuous exceedance judgment in the time dimension and the cross-regional signal confirmation in the spatial dimension with the dual anti-false triggering mechanism, along with the moving average filtering process, the robustness of the system to instantaneous electromagnetic interference or sensor noise is significantly improved, ensuring the accuracy and reliability of the coordinated control action triggering, and providing a safe and economical intelligent explosion-proof guarantee for the processing of flammable and explosive powders. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A schematic flowchart illustrating an explosion-proof control method for powder processing equipment provided in this application embodiment; Figure 2 This is a schematic diagram of the collaborative explosion-proof control system architecture for powder processing equipment provided in an embodiment of this application; Figure 3 A schematic diagram of the structure of an explosion-proof control device for powder processing equipment provided in this application embodiment; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0020] Currently, in the powder processing field, explosion-proof control for equipment such as air jet mills and classifiers typically employs single-parameter monitoring or a globally unified protection strategy. However, existing solutions often lack detailed zoning of the equipment and a differentiated assessment mechanism for the explosion risk characteristics of different process areas, resulting in an inability to accurately identify local high-risk conditions. Furthermore, existing explosion-proof response logic is mostly based on single-point triggering followed by machine-wide interlocking shutdown, lacking progressive collaborative intervention methods based on risk levels and cross-zone physical isolation capabilities. This crude explosion-proof control mode is not only prone to frequent false shutdowns due to instantaneous signal disturbances, severely impacting production continuity, but also struggles to effectively block the cross-zone propagation of flames and pressure waves during a real explosion, posing significant safety hazards.

[0021] Therefore, this application provides an explosion-proof control method for powder processing equipment, which solves the above-mentioned problems in the prior art. It can realize differentiated risk quantification and progressive collaborative protection for each process area of ​​the equipment, thereby maximizing the maintenance of production continuity while ensuring safety.

[0022] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0023] Figure 1 This is a flowchart illustrating an explosion-proof control method for powder processing equipment provided in an embodiment of this application. Figure 1 As shown, this method achieves precise control of explosion risks in powder processing through a closed-loop logic of zoned sensing, differentiated assessment, and gradient response. Specifically, this collaborative explosion-proof control method includes the following steps: Step S110: Obtain multi-dimensional state parameters of multiple process zones divided along the process flow direction of the powder processing equipment.

[0024] Specifically, powder processing equipment typically features a long process flow and complex spatial layout, with significant differences in material states and environmental conditions across different sections. This embodiment divides the entire equipment into several relatively independent process zones along the material conveying or processing direction. This division breaks away from the traditional monitoring model that treats the entire machine as a single homogeneous object, providing a spatial benchmark for refined risk identification. Within each process zone, multidimensional state parameters reflecting the current operating conditions are simultaneously collected. These parameters constitute the basic data set describing the safety status of that zone. It should be understood that multidimensional state parameters are not limited to specific physical quantities; they can encompass environmental parameters characterizing oxidant concentration, thermodynamic parameters characterizing energy accumulation, kinetic parameters characterizing mechanical impact or airflow fluctuations, material parameters characterizing combustible material distribution, and electrical parameters characterizing ignition source potential. By acquiring multiple heterogeneous parameters within the same zone in parallel, a comprehensive state perception map can be constructed, effectively overcoming the shortcomings of single-parameter monitoring, which is prone to missed or false alarms under complex operating conditions, thus laying a data foundation for subsequent comprehensive risk assessment.

[0025] Step S120: Based on the weights specific to each process region, the multidimensional state parameters are weighted and calculated to obtain the local comprehensive risk value of each process region.

[0026] The weights of different process zones are not the same.

[0027] Specifically, in powder processing equipment, risks are not uniformly distributed but exhibit significant spatial heterogeneity. For example, in areas dominated by high-speed mechanical crushing, pressure fluctuations and dust concentrations may be the dominant factors inducing explosions; while in areas dominated by material conveying or separation, static electricity buildup or changes in oxygen content may carry a more critical risk weight. Using a globally uniform assessment model would inevitably lead to insufficient sensitivity to high-risk areas or overreaction to low-risk areas. Therefore, this application assigns specific weights to each process area, reflecting the physical laws governing the contribution of each state parameter to explosion risk within that specific area. Through weighted calculation, the multidimensional state parameters, originally with different dimensions and physical meanings, are integrated into a unified scalar index, namely, the local comprehensive risk value. This value not only quantifies the current level of danger but, more importantly, embeds the region-specific risk structure characteristics. This differentiated weighting mechanism ensures that the system can assess risks according to the specific process characteristics of different areas, much like an experienced operator, thereby eliminating safety hazards caused by spatial averaging effects at the algorithmic level.

[0028] Step S130: Based on the risk level of the local comprehensive risk value, implement coordinated control actions in which the intervention intensity or scope increases with the risk level.

[0029] The coordinated control actions include at least local process suppression for a single process area, and cross-regional physical isolation between a process area in a high-risk state and adjacent process areas.

[0030] After obtaining the local comprehensive risk value of each region, it is mapped to a preset risk level system, and corresponding coordinated control actions are triggered accordingly. The control strategy follows the gradient response principle, that is, the intensity and scope of intervention measures are positively correlated with the risk level. When the risk is at a low level, the system prioritizes local process suppression targeting a single process area. This type of action aims to eliminate potential hazards by adjusting process conditions in the early stages of risk, minimizing disruption to production continuity. As the risk level increases, when local suppression is insufficient to contain the situation or the risk has exceeded the critical threshold, the control action automatically escalates to cross-regional physical isolation. Cross-regional physical isolation refers to cutting off the physical connection between a high-risk process area and its adjacent areas. Its core purpose is to build an explosion-proof barrier to prevent flames, shock waves, or high-temperature gases from spreading to nearby safe areas. This layered and progressive control logic avoids the economic losses caused by minor disturbances leading to system shutdowns, while ensuring sufficient blocking capability in the face of real explosion threats, achieving a dynamic optimal balance between safe production and operational efficiency. It should be understood that although this embodiment describes a progressive relationship from local suppression to cross-regional isolation, in practical applications, collaborative control actions may also include more intermediate levels or parallel sub-actions. As long as the general principle that the intensity or scope of intervention increases monotonically with the risk level is met, they all fall within the scope of protection of this application.

[0031] The specific composition of the multidimensional state parameters and the quantitative calculation logic of the local comprehensive risk value are further explained in detail. As one implementation method, the multidimensional state parameters include oxygen concentration, temperature, pressure, dust concentration, and electrostatic potential. Specifically, these five parameters constitute a complete physical map for the explosion risk assessment of powder processing equipment. Among them, oxygen concentration characterizes the sufficiency of the oxidizer and is the oxidizer dimension of the three elements of combustion; temperature reflects the thermodynamic state of the system and the potential heat accumulation trend; pressure characterizes the stability of airflow dynamics and the intensity of mechanical impact, often serving as a direct precursor signal before an explosion; dust concentration directly corresponds to the distribution density of combustibles, determining the material basis and potential power of the explosion; and electrostatic potential quantifies the ignition energy level of the ignition source. By simultaneously collecting these five dimensions of state parameters, the system can comprehensively capture risk characteristics from four levels: oxidizer, combustibles, ignition source, and environmental conditions, effectively avoiding the problems of missed or delayed reporting caused by relying on only a single parameter (such as monitoring only temperature or oxygen content).

[0032] Based on this, the weights are differentiated according to the explosion risk characteristics of each process area. The core process area, with the highest explosion risk, has a higher weight for pressure and dust concentration than other process areas. This differentiated configuration is determined based on the physical laws governing the heterogeneity of the risk space within powder processing equipment. Taking an airflow mill as an example, the main explosion zone of the milling chamber, as the core location for high-speed material collision and energy exchange, has extremely high internal airflow velocity and the highest dust cloud concentration. Once an anomaly occurs, the rapid increase in pressure wave coupled with the high-concentration dust cloud is the dominant factor inducing a violent explosion. Therefore, the contribution ratio of pressure and dust concentration in this area must be significantly increased to ensure the system's high sensitivity to risks in the core area. In contrast, in the feed lock zone, since the material is not yet fully dispersed and the airflow is relatively stable, the main risk comes from external oxygen infiltration or electrostatic accumulation caused by material friction. Therefore, the weight in this area should focus on oxygen concentration and electrostatic potential. This site-specific weight allocation mechanism allows the local comprehensive risk value to truly reflect the unique risk structure of each area, rather than simply treating the entire machine as a homogeneous object for average evaluation.

[0033] To transform the aforementioned heterogeneous physical quantities into a calculable unified index, a weighted calculation of multidimensional state parameters is performed based on the weights specific to each process region to obtain the local comprehensive risk value for each process region. This process specifically includes: normalizing the original measured values ​​of the multidimensional state parameters to obtain normalized parameter values ​​with unified dimensions; and truncating values ​​when the normalized parameter values ​​exceed a preset range. Specifically, since oxygen concentration is measured as a volume percentage, temperature as degrees Celsius, pressure as kilopascals, dust concentration as grams per cubic meter, and electrostatic potential as kilovolts, these parameters have different dimensions and vastly different numerical ranges. Direct weighting would cause parameters with larger values ​​to dominate the calculation results, masking the crucial changes in smaller parameters. Therefore, this embodiment uses a linear mapping function to convert each original measured value to a unified dimensionless scale from 0 to 100. For example, the normalized mapping function for oxygen concentration is... That is, the normal oxygen content in the air, 21% vol, is used as the reference full scale; the normalized mapping function for temperature is... This involves linear stretching with a lower limit of 20℃ ambient temperature and an upper limit of 100℃ warning temperature. Simultaneously, to prevent sensor malfunctions or extreme transient interference from causing normalized values ​​to overflow and thus compromising the stability of the risk model, the system performs strict boundary truncation on the calculation results: values ​​greater than 100 are forcibly assigned 100, and values ​​less than 0 are forcibly assigned 0. This preprocessing step not only achieves standardized fusion of multi-source data but also enhances the robustness of the algorithm through the truncation mechanism.

[0034] After data preprocessing, the normalized parameter values ​​are weighted and summed based on the weights specific to each process region to obtain the local comprehensive risk value; where the sum of the weight coefficients corresponding to each multidimensional state parameter is 1. Specifically, the local comprehensive risk value... The calculation formula is:

[0035] In the formula, to The weighting coefficients for oxygen concentration, temperature, pressure, dust concentration, and electrostatic potential are respectively assigned, and the constraints are satisfied. This constraint ensures the risk value of the final output. The risk level consistently falls within the standard range of 0 to 100, making the risk levels between different process areas comparable.

[0036] As a specific application example, for a typical four-zone powder processing equipment, the weight matrix of each zone can be configured as follows: the weight allocation of the feed airlock zone is as follows. Highlighting the risks of oxygen introduction and electrostatic discharge; the weight allocation of the main explosion zone in the crushing chamber is as follows: This significantly strengthened the weighting of pressure and dust concentration; the weighting allocation of the graded wheel zone was as follows: A relatively balanced configuration is adopted; the weight allocation of the bag filter area is as follows: The weighting matrix emphasizes dust accumulation and electrostatic risks. It should be understood that the above weighting matrix is ​​only an illustrative example; in actual engineering applications, this matrix can be adaptively adjusted according to the physicochemical properties of the processed materials (such as minimum ignition energy, lower explosive limit, resistivity, etc.). For example, for organic pigment powders with extremely high resistivity and a high tendency to accumulate electrostatic charge, the electrostatic potential weights in each region, especially the conveying section, can be appropriately increased. For drug active ingredients that are highly heat-sensitive, the temperature weighting can be appropriately increased. This parameterized weight configuration capability enables the risk quantification algorithm of this application to have broad material adaptability and process compatibility, providing accurate and reliable quantitative decision-making basis for subsequent hierarchical collaborative control.

[0037] As one implementation method, the risk levels include normal state, early warning state, load reduction protection state, and emergency interlock state. Specifically, the system maps the calculated local comprehensive risk value R to a preset four-level state space. In this embodiment, the first threshold A is set to 45, the second threshold B to 65, and the third threshold C to 85. When the local comprehensive risk value R is less than 45, it is determined to be a normal state, indicating that the multidimensional state parameters in the current process area are all within the safety envelope, and the system maintains routine monitoring; when 45≤R<65, it is determined to be an early warning state, indicating that an early risk accumulation trend has appeared in the area (such as a slight exceedance of oxygen content or a slow rise in electrostatic potential), but has not yet reached the runaway critical point; when 65≤R<85, it is determined to be a load reduction protection state, meaning that the risk factors have significantly deviated from normal operating conditions, and simple environmental adjustment may not be sufficient to curb the development of the situation, requiring active intervention in the process load; when R≥85, it is determined to be an emergency interlock state, indicating that the area is on the critical edge or in the initial stage of an explosion, and the highest level of safety blocking measures must be implemented immediately. It should be understood that the above thresholds of 45, 65, and 85 are only preferred examples for the processing conditions of sulfur powder. For other materials such as aluminum powder and magnesium powder, the above thresholds can be adaptively calibrated according to their physicochemical properties such as minimum ignition energy and lower explosive limit. As long as the logical relationship of the four-level state progression is met, they all fall within the protection scope of this application.

[0038] The system implements differentiated collaborative control strategies for different risk levels. As one implementation method, local process suppression includes injecting inert gas into the corresponding process area and / or reducing the operating load of the powder processing equipment; cross-regional physical isolation includes closing the physical channels between a high-risk process area and adjacent process areas. Specifically, when the system determines that a certain area has entered a warning state, the inert gas injection operation in local process suppression is prioritized. For example, opening the nitrogen supply valve for that area displaces oxygen to disrupt the combustion-supporting agent condition among the three elements of combustion. At this time, the equipment still operates at full load and does not affect production capacity. If the risk further escalates to a load reduction protection state, in addition to continuous nitrogen supply, operations to reduce the operating load are superimposed, such as reducing the feed rate or reducing the pulverizing airflow pressure, reducing the generation rate of combustible dust and mechanical friction energy from the source, thus buying time for the risk to subside. When the risk reaches an emergency interlock state, the control strategy changes from suppression to isolation. The connection channels between the area and upstream and downstream equipment are sealed off by quickly shutting off valves, constructing an independent explosion-proof unit to prevent the spread of disaster.

[0039] Specifically, when the local comprehensive risk value is in an emergency interlock state, the coordinated control actions are executed sequentially according to priority: closing the upstream and downstream isolation valves of the process area in a high-risk state to achieve cross-area physical isolation; inertizing the process area in a high-risk state with inert gas; increasing the monitoring and sampling frequency of adjacent process areas; triggering the explosion relief device of the process area in a high-risk state; and, if the preset suppression measures cannot suppress the risk, executing a complete shutdown of the entire machine and full-area explosion suppression. This strict timing logic is designed based on explosion dynamics and safety protection principles. The first step is to shut off the valves and isolate the area to establish a closed boundary before the explosion, preventing the high-temperature flames and shock waves generated during the explosion from entering adjacent safe areas through the pipeline. Next, intensive inerting is performed to minimize the oxygen concentration in the area before the explosion, reducing its explosive force. Then, the sampling frequency in adjacent areas is increased (e.g., from the usual 1 second / time to 100 milliseconds / time) to capture weak risk signals that might penetrate the isolation boundary in real time, providing high-frequency data support for subsequent decision-making. Only then is the explosion relief device triggered to release the overpressure within the cavity in a controlled manner. Finally, only when all the above-mentioned tiered measures fail and the risk continues to worsen is the entire machine shut down and full-area explosion suppression initiated as a last resort. This tiered and progressive sequence of actions minimizes equipment damage and production interruptions caused by over-treatment of minor issues.

[0040] During the execution of coordinated control actions, non-hazardous process areas maintain normal operation. This is the core innovation of this application, distinguishing it from traditional point-based alarm and full-line shutdown technologies. Specifically, when the main explosion zone of the crushing chamber triggers an emergency interlock due to a sudden pressure surge, the system only performs valve closure, inerting, and explosion relief operations on that area. If the feeding lock zone, classifier zone, and bag filter zone are assessed as still in a normal or warning state, they continue to maintain their original production rhythm without executing a forced shutdown command. The physical basis of this coordinated mechanism lies in the effective physical decoupling between the various zones through isolation valves, limiting a single-zone failure to a localized area. From a technical perspective, this mechanism significantly improves the availability and economic efficiency of powder processing production lines. For example, in a sulfur crushing production line with an annual output of thousands of tons, if a single emergency interlock is triggered by local static electricity accumulation, the traditional solution usually requires a complete shutdown for inspection and re-purging and replacement, which takes at least 2 hours. However, with the solution in this embodiment, only the faulty area needs to be dealt with, and the non-hazardous areas can continue to produce. Once the fault is eliminated, the entire line can be quickly restored to operation, which greatly reduces the production capacity loss and restart energy consumption caused by accidental shutdown.

[0041] As one implementation method, based on the risk level of the local comprehensive risk value, coordinated control actions are executed with increasing intervention intensity or scope as the risk level rises. This includes implementing a false trigger confirmation mechanism before triggering the coordinated control action. Specifically, the internal environment of powder processing equipment is complex. High-speed airflow pulsation, material collision friction, and electromagnetic radiation from high-power motors on site can all introduce high-frequency noise or instantaneous spike interference at the sensor output. If interlocking actions are directly triggered based solely on a single sampling value or signal mutation in a single area, it is highly likely that the system will frequently stop erroneously without any real risk, severely affecting production continuity. Therefore, a false trigger confirmation mechanism is added between risk level determination and action execution as an independent defense layer to ensure system reliability. This mechanism is not a simple delay, but rather constructs a dual verification logic based on temporal continuity and spatial correlation. Only when the abnormal signal passes the checks of both dimensions is it recognized as a valid risk and subsequent control actions are allowed.

[0042] The anti-false triggering confirmation mechanism requires the following conditions to be met simultaneously: the multi-dimensional state parameters or local comprehensive risk value of the target process area exceed the corresponding preset threshold within N consecutive sampling periods, and there is an abnormal signal from at least one adjacent process area as a cross-regional confirmation; if the conditions are not met simultaneously, it is judged as a transient disturbance and the current state is maintained. From a time perspective, the evolution of real explosion risk is a physical process of energy accumulation and release, and its characterizing parameters (such as pressure increase and temperature increase) must have a certain duration and trend, while the signal spikes generated by electromagnetic interference or electrostatic discharge usually manifest as transient pulses at the microsecond or millisecond level. By setting an exceedance threshold of N consecutive sampling periods, random noise that does not have time continuity can be effectively filtered out. In this embodiment, the sampling period is set to 200ms, and the number of consecutive exceedance periods N is set to 3, which means that the abnormal signal must last for at least 600ms before it is included in the next step of judgment. The selection of this time window is based on the balance between the powder explosion dynamics characteristics and the sensor response characteristics: it is sufficient to cover the duration of most early signs of real risks, and can effectively eliminate more than 99% of transient interference signals. It should be understood that the specific value of N can be adjusted according to the signal-to-noise ratio level of the on-site working conditions. For example, in scenarios with more severe electromagnetic environments, N can be increased to 4 or 5, while in scenarios with extremely high requirements for response speed, the value of N can be appropriately reduced. However, in order to ensure basic anti-interference capability, N should be greater than or equal to 3.

[0043] From a spatial perspective, the occurrence and propagation of dust explosions exhibit significant spatial correlation. When a genuine risk accumulates in a certain process area, due to the physical connection between the internal cavities and pipelines of the equipment, pressure waves, hot air currents, or dust clouds often spread to adjacent areas, causing varying degrees of abnormal responses in the monitoring parameters of those adjacent areas. Conversely, hardware failures of individual sensors or local electromagnetic interference are usually isolated events and do not cause synchronous changes in signals from neighboring areas. Based on this physical law, a cross-zone confirmation condition is introduced, namely, at least one adjacent process area must simultaneously have a local comprehensive risk value exceeding its own warning threshold. For example, when the local comprehensive risk value of the main explosion zone in the crushing chamber exceeds the emergency interlock threshold, the system will not immediately trigger valve closure and explosion relief. Instead, it will first check whether the local comprehensive risk values ​​of the adjacent feed airlock zone or stager zone have also exceeded their respective warning thresholds (as mentioned above 45). Only when at least one adjacent area also shows signs of increased risk is it confirmed that the anomaly in the crushing chamber is caused by genuine process deterioration, rather than a sensor false alarm. This spatial cross-validation mechanism is equivalent to building a redundant verification system using the device's own distributed sensor network, which greatly improves the confidence level of risk assessment.

[0044] To further improve signal quality, after acquiring multi-dimensional state parameters, the original measured values ​​are subjected to moving average filtering. Specifically, this filtering process serves as a pre-processing step in the anti-false triggering confirmation mechanism, employing a moving average algorithm with a window length of 5 sampling points to smooth the original signal from each sensor in real time. Compared to complex digital filters, moving average filtering has low computational complexity and strong real-time performance, making it highly suitable for the computing resources of embedded explosion-proof controllers. By taking the arithmetic mean of the sampled values ​​at the current moment and the previous four moments, high-frequency random components in the signal can be effectively reduced, while low-frequency trend components reflecting changes in operating conditions are retained. The filtered signal then enters the normalization calculation and risk scoring process, ensuring that subsequent continuous N-cycle judgments are based on a cleaner and more stable data foundation. It should be understood that although this embodiment preferably uses moving average filtering, in other embodiments, alternative solutions such as median filtering, low-pass filtering, or Kalman filtering can be selected based on the signal spectrum characteristics. As long as the function of suppressing transient interference and extracting effective trends can be achieved, they all fall within the protection scope of this application.

[0045] Through the synergistic effect of the aforementioned time-space joint confirmation mechanism and pre-filtering, the technical challenge of balancing sensitivity and reliability in traditional explosion-proof systems is effectively solved. In actual operation, for real explosion risks, due to their temporal continuity and spatial propagation, the system can complete dual confirmation and accurately trigger corresponding coordinated control actions within hundreds of milliseconds, with response delay controlled within the time window allowed by process safety. For various transient interference signals, since they cannot meet the requirements for continuous N-cycle exceedances or lack synchronous response from adjacent areas, the system automatically identifies them as invalid disturbances and shields them, avoiding unnecessary load reduction or shutdown operations. This intelligent anti-false triggering design not only ensures the inherent safety of the powder processing process but also significantly improves equipment availability and production efficiency, enabling the collaborative explosion-proof control system to truly achieve long-term stable operation in complex industrial environments.

[0046] In one implementation method, multidimensional state parameters are acquired through a zoned sensor group, which includes an explosion-proof zirconia oxygen analyzer, armored thermocouples, explosion-proof piezoresistive pressure transmitters, AC electrostatic induction dust concentration meters, and non-contact electrostatic potentiometers. Specifically, the selection of these five types of sensors is based on the special operating conditions of the powder processing equipment, including high temperature, high pressure, high dust concentration, and flammable and explosive conditions. Explosion-proof zirconia oxygen analyzers utilize the properties of zirconia electrolytes to conduct oxygen ions at high temperatures, enabling rapid and accurate measurement of trace oxygen concentrations. Their inherently safe or explosion-proof design meets electrical safety standards for dust explosion hazard areas. Armored thermocouples integrate thermocouples, insulating materials, and metal sheaths, offering excellent resistance to mechanical vibration and airflow erosion, making them particularly suitable for installation inside high-speed airflow pulverizers. Explosion-proof piezoresistive pressure transmitters, based on the semiconductor piezoresistive effect, achieve dynamic response frequencies down to the kilohertz level, enabling them to sensitively capture weak pressure fluctuations before an explosion. AC electrostatic induction dust concentration meters invert concentration by sensing the static charge generated when dust particles flow through the probe, eliminating optical window contamination issues and making them suitable for high-concentration gas-solid two-phase flow environments. Non-contact electrostatic potentiometers employ field grinding or capacitive sensing principles to measure the intensity of the electrostatic field in space without direct contact with the powder, fundamentally avoiding the risk of new ignition sources arising from friction in contact measurements. It should be understood that the above-mentioned sensor types are only preferred examples. In practical applications, as long as the corresponding explosion-proof level, range and response time requirements are met, other equivalent principle sensors can also be used. For example, a laser scattering dust meter can be used instead of an electrostatic induction type, or an infrared thermometer can be used instead of a thermocouple. All of these fall within the scope of protection of this application.

[0047] To ensure the representativeness and accuracy of the collected data, the installation positions of each sensor on the device body have been specifically optimized. For example... Figure 1As shown, the explosion-proof zirconia oxygen analyzer is installed on the middle pipe wall of each process area; the armored thermocouple is installed at the outlet end of each process area; the explosion-proof piezoresistive pressure transmitter is installed on the cavity wall of each process area; the AC electrostatic induction dust concentration meter is installed on the outlet pipe of each process area; and the non-contact electrostatic potentiometer is installed at a preset distance from the pipe wall of the corresponding process area. Specifically, the oxygen analyzer is placed on the middle pipe wall to avoid the instantaneous airflow disturbance caused by the opening and closing of the airlock valve at the inlet and the possible flow dead zone at the outlet, thereby obtaining the most representative average atmosphere sample in this area; the thermocouple is placed at the outlet because the material and airflow that have flowed through the entire process area converge here, and its temperature value can comprehensively reflect the heat accumulation and energy dissipation in this area; the pressure transmitter is installed directly on the cavity wall rather than on the connecting pipe to minimize the interference of the dynamic pressure component in the pipe on the static pressure measurement, ensuring that the obtained pressure signal truly represents the thermodynamic state inside the cavity; the dust concentration meter is installed on the outlet pipe to take advantage of the relatively stable flow field and uniform dust mixing at this location, so that the measured value can accurately correspond to the material load entering the next process.

[0048] Specifically, for non-contact electrostatic potentiometers, the preset distance between the installation position and the tube wall is a critical design parameter. This preset distance is preferably set to 5mm. This value is chosen based on a balance between electric field sensing sensitivity and a safe distance: if the distance is too large, the sensed electric field signal will be severely attenuated, the signal-to-noise ratio will decrease, and it will be difficult to distinguish the static accumulation trend at low potentials; if the distance is too small, the probe surface will be easily covered by high-concentration dust, leading to measurement failure, and in extreme cases, spark discharge may occur due to dust layer breakdown. A 5mm distance ensures sufficient induced field strength to maintain measurement accuracy while also providing an effective safety isolation barrier. It should be understood that this preset distance is not fixed and can be adjusted in practical engineering according to the resistivity, particle size distribution, and dielectric constant of the powder. For example, for highly conductive metal powders, the distance can be appropriately increased to 8-10mm, while for highly insulating organic polymer powders, it can be reduced to 3-4mm. As long as non-contact safe measurement is achieved and the data is valid, it does not deviate from the technical concept of this application.

[0049] Furthermore, all sensors in the partitioned sensor group must meet the corresponding explosion-proof certification requirements to ensure their safety in flammable and explosive environments. In this embodiment, all sensors achieve an explosion-proof rating of Ex d IIC T4 Gb or Ex tDA21 IP65 T130℃ or higher, and are connected to the collaborative explosion-proof controller through an isolation safety barrier to form an intrinsically safe or explosion-proof signal circuit. This hardware-level safety and compliance design not only ensures that the system will not become a new ignition source during long-term operation, but also provides a reliable and legal physical data foundation for the algorithm logic in the aforementioned embodiments. By deploying specific types of sensors in specific process locations, this embodiment achieves a binary binding of structure and function, enabling the abstract risk assessment algorithm to be implemented on a concrete physical entity, while also providing clear and visible external characteristic evidence for subsequent infringement determination.

[0050] Corresponding to the above method, this application also provides an explosion-proof control device for powder processing equipment, such as... Figure 3 As shown, the device includes: The acquisition unit 310 is used to acquire multidimensional state parameters of multiple process regions divided along the process flow direction of the powder processing equipment.

[0051] The acquisition unit is not merely a software interface, but a physical sensing layer comprised of a group of zoned sensors and the signal acquisition channels of a collaborative explosion-proof controller. The zoned sensor groups are distributed across various process areas of the powder processing equipment, including the feeding lock zone, the main explosion zone of the crushing chamber, the grading wheel zone, and the bag filter zone, acquiring raw analog signals such as oxygen concentration, temperature, pressure, dust concentration, and electrostatic potential in real time. The collaborative explosion-proof controller integrates high-precision analog-to-digital conversion and signal conditioning circuits, serving as the core processing component of the acquisition unit. It converts the raw analog signals into digital multi-dimensional state parameters and performs preliminary filtering and verification. This integrated hardware and software acquisition mechanism ensures that the data entering subsequent calculations has sufficient timeliness and accuracy, laying a physical foundation for precise risk assessment.

[0052] The calculation unit 320 is used to perform weighted calculations on multidimensional state parameters based on the weight configuration specific to each process region, so as to obtain the local comprehensive risk value of each process region; the weight configurations are different for different process regions.

[0053] Specifically, the computing unit is deployed within the central processing unit or dedicated safety chip of the collaborative explosion-proof controller, existing as a program module or firmware logic. This unit pre-stores weight configuration matrices corresponding one-to-one with each process region. These matrices reflect the spatial heterogeneity of explosion risk composition in different regions. For example, for the main explosion zone of the crushing chamber, the computing unit automatically calls configuration parameters with higher weights for pressure and dust concentration; while for the feed gas lock zone, it calls configuration parameters with higher weights for oxygen concentration and electrostatic potential. During operation, the computing unit reads the multi-dimensional state parameters output by the acquisition unit in real time and performs a weighted summation calculation based on the weight configuration corresponding to the current region, outputting a normalized local comprehensive risk value. This design, which embeds differentiated assessment logic into the hardware controller, enables the system to complete multi-region parallel risk calculations at millisecond speeds, ensuring both the flexibility of the assessment model (adapting to different materials by modifying stored parameters) and the deterministic response time required in industrial settings.

[0054] The execution unit 330 is used to execute coordinated control actions based on the risk level of the local comprehensive risk value, such that the intervention intensity or intervention range increases with the risk level; wherein, the coordinated control actions include at least local process suppression for a single process area, and cross-regional physical isolation between a process area in a high-risk state and adjacent process areas.

[0055] Specifically, the execution unit is the output control module of the collaborative explosion-proof controller, which is electrically connected to field actuators such as isolation valves, explosion relief devices, and inert gas supply valves. When the calculation unit determines that the local comprehensive risk value of a certain process area exceeds a preset threshold, the execution unit generates a gradient sequence of control commands based on the severity of the risk level. For example, in the early warning state, the execution unit only outputs a small flow nitrogen replenishment signal to implement local process suppression; while in the emergency interlock state, the execution unit will output a series of high-intensity control signals in priority order, such as valve closure isolation, strong inerting, and explosion relief triggering. In particular, when performing cross-area physical isolation, the execution unit will precisely control the rapid closure of the isolation valves upstream and downstream of the process area in a high-risk state, cutting off the physical connection channel, while maintaining the normal control signal output of non-hazardous areas. This execution mechanism, which dynamically adjusts the output strategy based on the risk level, achieves an optimal balance between safety protection and production continuity at the hardware level, avoiding the problem of abrupt shutdown of the entire machine caused by a single threshold trigger in traditional systems.

[0056] Through the coordinated operation of the aforementioned functional units, the collaborative explosion-proof control system provided in this embodiment deeply integrates the abstract risk assessment algorithm with specific industrial control hardware. The acquisition unit ensures reliable input of multi-source heterogeneous data, the calculation unit realizes real-time quantification of differentiated risks in different regions, and the execution unit completes the precise implementation of gradient-based collaborative intervention. Together, these three components constitute a complete technical system that conforms to functional safety standards, providing not only solid hardware support for the method embodiment but also enabling the technical solution of this application to have a clear object of infringement comparison and industrial implementation feasibility.

[0057] On the other hand, this embodiment provides a powder processing equipment that integrates the collaborative explosion-proof control system described in the previous embodiments, forming a complete industrial equipment with intrinsically safe characteristics. Specifically, the powder processing equipment includes an equipment body and a collaborative explosion-proof control system, wherein the zoned sensor groups are distributed in multiple process areas of the equipment body.

[0058] The equipment body is the physical carrier of the powder processing technology, and its specific form can be selected according to actual production needs. As a preferred embodiment, the equipment body can be a fluidized bed impact jet mill, or a target jet mill, air classifier, large-scale powder pneumatic conveying system, or pulse dust removal system—any powder processing equipment with multiple process chambers. It should be understood that although this embodiment and accompanying drawings use a jet mill as an example, this does not constitute a limitation on the scope of protection of this application. As long as the equipment can be divided into multiple functional areas with different explosion risk characteristics in the process flow, the collaborative explosion-proof control scheme of this application can be applied.

[0059] Specifically, the equipment body is divided into several relatively independent process zones along the material processing flow direction. These zones constitute the physical spatial reference for explosion-proof control. In the application scenario of an air jet mill, the equipment body sequentially includes a feeding airlock zone, a main explosion zone of the crushing chamber, a grading wheel zone, and a bag filter zone along the material flow direction. The zoned sensor groups are not centrally installed at a single point, but are distributed and installed at corresponding positions on the equipment body according to the risk characteristics of each process zone. For example, sensors for monitoring oxygen concentration and electrostatic potential are arranged on the middle pipe wall and near the wall of the feeding airlock zone to capture early signals of external oxygen infiltration and frictional electrification of the material; sensors for monitoring pressure and dust concentration are densely arranged on the cavity wall and outlet pipe of the main explosion zone of the crushing chamber to perceive the explosion dynamics parameters of the core area in real time. This deep physical integration of sensors with the process zones of the equipment body enables the collaborative explosion-proof control system to obtain high spatial resolution state data, thereby providing a reliable material basis for the zoned weighted risk assessment in the aforementioned embodiment.

[0060] Furthermore, powder processing equipment offers high flexibility in system integration. For newly manufactured equipment, the collaborative explosion-proof control system can be included as a standard factory configuration, with sensor mounting holes pre-drilled, wiring harnesses laid, and controllers embedded during the manufacturing phase, achieving integrated hardware and software delivery. For existing powder processing equipment already in service, this collaborative explosion-proof control system can also be added as an independent safety upgrade module. Because the zoned sensor groups utilize standardized installation interfaces and non-invasive measurement technologies (such as non-contact electrostatic potentiometers), sensor deployment and system debugging can be completed quickly without altering the original mechanical structure of the equipment or compromising the integrity of the pressure-bearing housing. This plug-and-play compatibility significantly reduces the cost and difficulty of safety upgrades for existing equipment, enabling the technical solution of this application to broadly cover powder processing equipment of different eras and models.

[0061] Through the aforementioned physical integration design, the abstract collaborative explosion-proof control logic is materialized into a concrete industrial product. The equipment body provides the physical boundary of the process, the zoned sensor group constructs a neural network for global perception, and the collaborative explosion-proof controller acts as the intelligent decision-making center. The organic combination of these three components not only solves the problems of single explosion-proof methods and high false shutdown rate in traditional powder processing equipment, but also provides downstream users with an overall solution that combines high safety and high availability. It should be understood that the specific structural description of the equipment body in this embodiment is only illustrative. In practical applications, as long as the core technical concept of multi-region division and distributed sensor integration is retained, any conventional replacement or adjustment of the mechanical details of the equipment should not be considered as departing from the protection scope of this application.

[0062] Using a sulfur ultrafine grinding production line with an annual output of 1,000 tons as a specific application scenario, the overall operational effectiveness of the synergistic explosion-proof control method was verified. Sulfur powder has an extremely low lower explosive limit and minimum ignition energy, and during airflow grinding, it is highly susceptible to the coupling risk of high-voltage static electricity with dust clouds, representing a typical high-risk operating condition for verifying the effectiveness of the technical solution proposed in this application. Combined with... Figure 2 As shown, in this production line, the powder processing equipment is divided into four process areas: the feeding airlock zone, the main explosion zone of the crushing chamber, the grading wheel zone, and the bag filter dust collection zone. The explosion-proof controller operates in real time according to the logic described above. The following two typical dynamic operating scenarios demonstrate the complete data flow process and its technical effects, from multi-dimensional state parameter acquisition, normalization processing, zone weighted calculation, state determination to the execution of collaborative control actions.

[0063] In the first scenario, the evolution of a real-world risk was simulated, involving a sudden increase in local pressure in the main explosion zone of the crushing chamber due to nozzle blockage. When the fault occurred, the explosion-proof piezoresistive pressure transmitter installed on the chamber wall in the main explosion zone detected an absolute pressure rapidly increasing from the normal 150 kPa to 350 kPa, while the AC electrostatic induction dust concentration meter measured a dust concentration increase from 8 g / m³ to 12 g / m³. The collaborative explosion-proof controller first performed a moving average filter with a window length of 5 on the original signal to eliminate high-frequency noise, and then calculated the normalized pressure value according to the normalization mapping rule. Dust concentration normalized value At this point, the oxygen concentration, temperature, and electrostatic potential are all at normal levels, with normalized values ​​of 10, 5, and 8, respectively. Subsequently, the calculation unit calls the weight configuration matrix specific to the main blast zone 120 of the crushing chamber (…). The weighted summation is performed to obtain the local comprehensive risk value of the region. Since the warning threshold A (45) had not yet been reached at this moment, the system maintained normal monitoring, which reflects the tolerance of this scheme to non-critical fluctuations. However, as the blockage intensified, the pressure further increased to 480 kPa after 200 ms, and the dust concentration increased to 14 g / m³, which was recalculated. , Updated local comprehensive risk value .at this time The value exceeds the warning threshold A but does not reach the load reduction threshold B (65), and the system accurately determines that the main explosion zone of the crushing chamber has entered the warning state. The execution unit immediately opens the nitrogen supply valve of the area to implement local process suppression. At the same time, the local comprehensive risk value of the bag filter area is only 22, and that of the graded wheel area is 28, both of which are far below the warning line. Therefore, these two areas continue to operate normally at full load. This process fully verifies the high sensitivity of the partitioned differentiated weight configuration to capture the risk of the core area, as well as the technical advantage of gradient collaborative control in maintaining the production continuity of non-dangerous areas under the premise of ensuring safety. If the traditional global unified weight scheme is adopted (for example, the weight of each parameter is 0.2), the risk value calculated under the same working conditions is only 38.6, which cannot trigger the warning and may lead to further accumulation of risk until it gets out of control.

[0064] In the second scenario, a transient electrostatic spike interference caused by material friction in the feed lock zone is simulated. At a certain moment, a non-contact electrostatic potentiometer detects an electrostatic voltage spike lasting approximately 150ms, with the original reading instantly surging to 18kV. After moving average filtering, this spike is smoothed to 12kV, corresponding to the normalized value. After truncation, the value is 100. Substitute this into the weight matrix of the feed airlock zone ( The risk increment from static electricity alone reaches 30 points, and the local comprehensive risk value after adding the base value is... The value instantly spiked to 58, exceeding the warning threshold A. However, the anti-false trigger confirmation mechanism immediately activated for verification: in the time dimension, the exceeding state only lasted for one sampling period (200ms), failing to meet the requirement of N=3 consecutive periods; in the spatial dimension, the current local comprehensive risk value of the adjacent main explosion zone of the crushing chamber was 32, not exceeding its own warning threshold of 45. Since the dual confirmation conditions of time and space were not simultaneously met, the collaborative explosion-proof controller 200 determined the signal as a transient disturbance, not triggering any nitrogen replenishment or load reduction actions, and the system maintained its current normal operating state. Subsequent investigation confirmed that the spike was indeed caused by an occasional electrostatic discharge when the dry powder flowed through the valve, and there was no actual risk of combustion or explosion. This scenario effectively demonstrated the robustness of the anti-false trigger confirmation mechanism in complex electromagnetic and dust environments, avoiding frequent false shutdowns caused by single-point transient interference.

[0065] Statistical analysis of six months of continuous operation data from the sulfur pulverizing production line revealed a significant improvement in the overall performance of the collaborative explosion-proof control system provided in this application. Regarding real-world risk response, the end-to-end response time from sensor detection of anomalies to the execution unit outputting a nitrogen replenishment command remained stable within 800ms, a reduction of over 40% compared to the traditional PLC scanning and relay execution mode, thus gaining a valuable time window to curb early explosions. In terms of production continuity, compared to the single-parameter threshold interlocking shutdown scheme used before the modification, the average monthly number of erroneous shutdowns decreased from 12 to 0.5, the overall equipment utilization rate increased by 18%, and the annual production of ultrafine sulfur powder increased by approximately 150 tons. These data powerfully demonstrate that the organic combination of the three core technical features of this application—zonal differentiated assessment, gradient collaborative intervention, and temporal and spatial joint prevention of accidental triggering—is not a simple functional superposition, but rather produces a non-linear synergistic effect of accurate identification, rapid suppression, and prevention of erroneous operation, effectively solving the long-standing technical challenge of balancing safety and efficiency in the field of flammable and explosive powder processing. It should be understood that although this embodiment uses sulfur pulverization as an example for detailed description, the collaborative explosion-proof control method of this application is also applicable to the processing scenarios of other flammable and explosive powders such as aluminum powder, magnesium powder, coal powder, organic pigments, and active pharmaceutical ingredients. It is only necessary to adaptively calibrate the weight matrix and state threshold according to the physical and chemical characteristics of the material. Its core technical concept and protection scope are not limited by the specific working conditions of this embodiment.

[0066] This application also provides an electronic device, such as... Figure 4 As shown, it includes a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440.

[0067] Memory 430 is used to store computer programs; When the processor 410 executes the program stored in the memory 430, it performs the following steps: Obtain multidimensional state parameters of multiple process zones divided along the process flow direction in the powder processing equipment; Based on the configured weights of each process region, the multidimensional state parameters are weighted and calculated to obtain the local comprehensive risk value of each process region; wherein the weight configurations of different process regions are different. Based on the risk level of the local comprehensive risk value, implement coordinated control actions with increasing intervention intensity and scope as the risk level increases; The coordinated control actions include at least local process suppression for a single process region and cross-regional physical isolation between the process region in a high-risk state and adjacent process regions.

[0068] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0069] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0070] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0071] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0072] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 1 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.

[0073] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform an explosion-proof control method for a powder processing equipment as described in any of the above embodiments.

[0074] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute an explosion-proof control method for a powder processing equipment as described in any of the above embodiments.

[0075] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0077] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0078] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0079] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected," "coupled," or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0080] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the embodiments in this application are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments in this application.

[0081] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the embodiments of this application and their equivalents, then these modifications and variations are also intended to be included in the embodiments of this application.

Claims

1. A method for explosion-proof control of powder processing equipment, characterized in that, The method includes: Obtain multidimensional state parameters of multiple process zones divided along the process flow direction in the powder processing equipment; Based on the configured weights of each process region, the multidimensional state parameters are weighted and calculated to obtain the local comprehensive risk value of each process region; wherein the weight configurations of different process regions are different. Based on the risk level of the local comprehensive risk value, implement coordinated control actions with increasing intervention intensity and scope as the risk level increases; The coordinated control actions include at least local process suppression for a single process region and cross-regional physical isolation between the process region in a high-risk state and adjacent process regions.

2. The method as described in claim 1, characterized in that, The multidimensional state parameters include oxygen concentration, temperature, pressure, dust concentration, and electrostatic potential; The weights are set according to the explosion risk characteristics of each process area.

3. The method as described in claim 1, characterized in that, Based on the configured weights of each process region, the multidimensional state parameters are weighted and calculated to obtain the local comprehensive risk value of each process region, including: The multidimensional state parameters are normalized and mapped to obtain normalized parameter values ​​with uniform dimensions; when the normalized parameter values ​​exceed a preset range, truncation is performed. Based on the weights corresponding to each process region, the normalized parameter values ​​are weighted and summed to obtain the local comprehensive risk value; wherein, the sum of the weights corresponding to each of the multidimensional state parameters is 1.

4. The method as described in claim 1, characterized in that, The risk levels include normal state, early warning state, load reduction protection state, and emergency interlock state. The localized process suppression includes injecting inert gas into the corresponding process area and / or reducing the operating load of the powder processing equipment; The cross-regional physical isolation includes closing the physical passage between the process area in a high-risk state and the adjacent process area.

5. The method as described in claim 4, characterized in that, When the local comprehensive risk value is in the emergency interlock state, the coordinated control actions are executed sequentially according to priority: Close the upstream and downstream isolation valves of the process area that is in a high-risk state; Inert gas inertization is performed on the process area that is in a high-risk state; Increase the monitoring sampling frequency of adjacent process areas; Trigger the explosion venting device in the process area that is in a high-risk state; If the preset mitigation measures fail to suppress the risk, the entire machine will be shut down. During the execution of the coordinated control action, the process area in the non-hazardous area remains in normal operation.

6. The method as described in claim 1, characterized in that, Based on the risk level of the local comprehensive risk value, implement coordinated control actions with increasing intervention intensity or scope as the risk level increases, including: Before triggering the collaborative control action, a confirmation mechanism to prevent accidental triggering is executed; The anti-false triggering confirmation mechanism requires the following conditions to be met simultaneously: the multi-dimensional state parameters or the local comprehensive risk value of the target process area exceed the corresponding preset threshold within N consecutive sampling periods, and there is at least one abnormal signal from the adjacent process area as a cross-area confirmation. If the conditions are not met simultaneously, it is determined to be a transient disturbance and the current state is maintained.

7. The method as described in claim 1, characterized in that, The powder processing equipment is divided into process zones along the process flow direction, including the feeding airlock zone, the crushing chamber main explosion zone, the grading wheel zone, and the bag filter dust collection zone.

8. An explosion-proof control device for powder processing equipment, characterized in that, The device includes: The acquisition unit is used to acquire multidimensional state parameters of multiple process regions divided along the process flow direction of the powder processing equipment; The calculation unit is used to perform weighted calculation on the multidimensional state parameters based on the configured weights of each process region to obtain the local comprehensive risk value of each process region; wherein the weight configurations of different process regions are different; The execution unit is used to perform coordinated control actions, with the intervention intensity and scope increasing as the risk level increases, based on the risk level of the local comprehensive risk value. The coordinated control actions include at least local process suppression for a single process region and cross-regional physical isolation between the process region in a high-risk state and adjacent process regions.

9. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method described in any one of claims 1-7.

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