Intelligent coal preparation plant network security monitoring system

Abstract

The invention relates to the technical field of transmission control, in particular to an intelligent coal preparation plant network security monitoring system, which comprises an interference data acquisition module, a transmission data acquisition module, a real-time transmission data acquisition module and an equipment area division module, acquiring a planar map of the coal preparation plant to obtain each divided area, and extracting interference features and load features of each divided area; the real-time monitoring module is used for determining the interference state of each divided area in a monitoring period and constructing a coupling model between the coal particle dust concentration and the main frequency so as to update the interference state of the divided area, the line state monitoring module is used for judging the data transmission state of each virtual line, and the data transmission control module is used for establishing a real-time information transmission map. And the transmission process of the transmission data is controlled by the real-time information transmission map. According to the invention, the security of network transmission of the coal preparation plant is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission control, and particularly to an intelligent coal preparation plant network security monitoring system. Background Art

[0002] With the development of information technology, coal preparation plants are increasingly adopting advanced automated control systems to improve production efficiency and management levels. However, these highly integrated information systems are at risk of various security threats such as cyberattacks and data leaks. Existing security measures are often insufficient to address the increasingly complex network security challenges, especially in the environment of industrial control systems, where more specialized solutions are needed.

[0003] Chinese Patent Publication No. CN102843261A discloses a role-based distributed permission management method for a coal preparation plant MES, including a hardware system and a software system installed in the hardware system. The hardware system includes a main authorization server installed with a main service program and several slave authorization servers installed with slave service programs. Each slave authorization server corresponds to an independent department or institution within the group, and the slave authorization servers communicate with the main authorization server through data transmission lines. Thus, it can be seen that this invention realizes distributed communication management based on the communication of the coal preparation plant, but does not analyze the signal interference problem within the coal preparation plant, resulting in low security during the data transmission process. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent coal preparation plant network security monitoring system to solve at least one of the problems existing in the prior art.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions:

[0006] An intelligent coal preparation plant network security monitoring system includes:

[0007] A real-time monitoring module, configured to: determine the interference status of each divided area within the monitoring period based on the equipment operation data and physical interference data within the monitoring period, construct a coupling model between the coal particle dust concentration and the main frequency, and update the interference status of the divided area according to the construction result of the coupling model;

[0008] A line status monitoring module, configured to: comprehensively judge the data transmission status of each virtual route based on the interference status and load characteristic index of each divided area within the monitoring period;

[0009] A data transmission control module, configured to: establish a real-time information transmission map based on the interference status, interference characteristic index, and data transmission status of each divided area of the virtual route, and control the transmission process of the transmitted data with the real-time information transmission map.

[0010] Optionally, the real-time monitoring module includes a first status monitoring unit, which is used to determine the interference status of each divided area within the monitoring period based on the device operation data within the monitoring period;

[0011] The first status monitoring unit filters the interference frequencies in each divided area within a preset interference frequency band range;

[0012] The first status monitoring unit calculates the main frequency energy ratio of each divided area based on the filtered interference frequencies, and determines the interference status of each divided area within the monitoring period according to the main frequency energy ratio: if the main frequency energy ratio of the i-th divided area is greater than 70%, it is determined that the interference status of this divided area is normal; otherwise, it is determined that the interference status of this divided area is abnormal;

[0013] When the interference status of the i-th divided area is abnormal, the first status monitoring unit switches the transmission protocol of the transmitting end of the virtual route of the transmission data passing through the i-th divided area to the anti-interference LoRa protocol.

[0014] Optionally, the real-time monitoring module is also provided with a dust correlation analysis unit, and the dust correlation analysis unit constructs a coupling model between the coal particle dust concentration and the main frequency:

[0015] γ(i) = exp{-[k1×ρ(i) 1.5 +k2×ln(f + 1)]};

[0016] In the formula, ρ(i) is the coal particle dust concentration of the i-th divided area within the monitoring period, f is the main frequency of data transmission, γ(i) is the dust-vibration attenuation index of the i-th divided area, k1 is the dust empirical factor, and k2 is the main frequency empirical factor;

[0017] The dust correlation analysis unit updates the interference status of the divided area according to the dust-vibration attenuation index of the divided area: when γ(i) is less than the preset attenuation value, the interference status of this divided area is not changed; when γ(i) is greater than or equal to the preset attenuation value, if the interference status is normal and the main frequency energy ratio is less than 60%, the dust correlation analysis unit updates the interference status of this divided area to the abnormal state.

[0018] Optionally, the real-time monitoring module further includes a device vibration monitoring unit, and the device vibration monitoring unit is used to adjust the process of updating the interference status of the divided area according to the device vibration frequencies of each divided area within the monitoring period;

[0019] The device vibration monitoring unit compares and judges the vibration frequencies of each device within the monitoring period with the standard vibration frequency as the threshold to obtain the vibration abnormality analysis results of each device, and the vibration abnormality analysis results of each device include normal vibration and abnormal vibration;

[0020] The device vibration monitoring unit counts the proportion of devices with abnormal vibration, and uses the ratio of the preset attenuation value to the proportion of devices with abnormal vibration as the adjusted preset attenuation value.

[0021] Optionally, the line status monitoring module sets the risk index η(z) of each virtual route, and sets η(z) = ∑ r＝1 (Proportion of the main frequency energy in the r-th divided area - 0.7) × β(r);

[0022] In the formula, r represents the digital subscript of the divided area where the z-th virtual route passes through an abnormal interference state, and β(r) represents the load characteristic index of the r-th divided area;

[0023] Based on the risk index η(z) of each virtual route, the line status monitoring module judges the data transmission status of each virtual route by comparing with a threshold, and judges the data transmission status of each virtual route as two states: normal and abnormal.

[0024] Optionally, the data transmission control module includes an information map construction unit. The information map construction unit counts each divided area with an abnormal interference state, and uses the interference characteristic index as sorting data to sort each divided area with an abnormal interference state in descending order;

[0025] The information map construction unit deletes the virtual routes with abnormal data transmission status from the plane map of the coal preparation plant, and uses each divided area with a normal interference state as a node to generate a modified virtual route through the Dijkstra algorithm;

[0026] The information map construction unit uses the plane map of the coal preparation plant with the modified virtual route stored as the real-time information transmission map.

[0027] Optionally, the data transmission control module further includes a transmission control unit. The transmission control unit sets the transmission weight of each divided area, and controls the communication rate of the data processing devices in each divided area according to the transmission weight of each divided area;

[0028] The transmission control unit sets the transmission weight of each divided area as W(h), and sets W(h) = interference characteristic index of the h-th divided area / V(h);

[0029] The transmission control unit sets the communication rate of the data processing devices in each divided area as CV(h), and sets CV(h) = PCH(h) × [1 + W(h)];

[0030] The transmission control unit uses the communication rate of the data processing devices in each divided area to control the transmission process of the transmitted data.

[0031] Optionally, an intelligent coal preparation plant network security monitoring system further includes:

[0032] An interference data acquisition module, configured to periodically acquire the equipment operation data and physical interference data of the coal preparation plant within a monitoring period;

[0033] A transmission data acquisition module, configured to acquire transmission data in real time;

[0034] An equipment area division module, configured to obtain a floor plan of the coal preparation plant and perform spatial division on the floor plan of the coal preparation plant to obtain each divided area, and extract the interference characteristics and load characteristics of each divided area;

[0035] The equipment area division module includes an acquisition unit, configured to obtain a floor plan of the coal preparation plant;

[0036] The equipment area division module further includes an area division unit, which is configured to perform spatial division on the floor plan of the coal preparation plant to obtain each divided area;

[0037] The area division unit counts the number of devices and the number of virtual routes of transmission data in each divided area, sets the number of devices in the divided area as n1(i), and sets the number of virtual routes of transmission data in the divided area as n2(i), where i is the number of devices in the coal preparation plant and i ∈ N + .

[0038] Optionally, the equipment area division module further includes an interference characteristic judgment unit. The interference characteristic judgment unit classifies the devices in each divided area to divide the devices in the divided area into sorting devices and processing devices, and judges the area type of the divided area according to the classification result of the device types in the divided area, and divides the divided area into a sorting area and a processing area;

[0039] The interference characteristic judgment unit judges the interference type of each divided area based on the number of devices n1(i) in each divided area, the number of virtual routes of transmission data in the divided area set as n2(i), and the area type judgment result. The interference types include environmental interference, low interference, frequency band interference, and conventional interference, and sets the interference characteristic index of each divided area according to the interference type.

[0040] Optionally, the equipment area division module further includes a load characteristic extraction unit. The load characteristic extraction unit sets the load characteristic index of each divided area based on the division result of each divided area; the node load index reflects the nodes of each divided area;

[0041] The process by which the load characteristic extraction unit sets the load characteristic index of each divided area is as follows:

[0042] The load feature extraction unit calculates the node load frequency V(i) based on the transmission frequency v(i)(j) of each virtual route in each divided area, and sets V(i) = ∑ j＝1 v(i)(j). Furthermore, by setting the node frequency threshold PV, the load feature index of each divided area is constructed: when V(i) is less than PV, the load feature index of this divided area is not set; when V(i) is greater than or equal to PV, the load feature index of this divided area is set to β(i), and the offset ratio of the node load frequency V(i) of this divided area compared to the node frequency threshold PV is used as the value of β(i).

[0043] Compared with the prior art, the beneficial effects of the present invention are as follows: through anti-interference protocol switching, real-time information map construction, and dynamic adjustment of communication rate, the system significantly reduces the packet loss rate and delay during data transmission, ensuring the reliable transmission of critical instructions; at the same time, the dual verification mechanism of the dust correlation analysis unit and the main frequency energy ratio avoids misoperations caused by single-parameter determination, further improving network security. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is a schematic structural diagram of the intelligent coal preparation plant network security monitoring system in this embodiment.

[0046] Figure 2 It is a schematic structural diagram of the equipment area division module in this embodiment.

[0047] Figure 3 It is a schematic structural diagram of the real-time monitoring module in this embodiment.

[0048] Figure 4 It is a schematic structural diagram of the data transmission control module in this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] In order to more clearly illustrate the present invention, the following further describes the present invention in conjunction with preferred embodiments and the drawings. Similar components in the drawings are represented by the same reference numerals. Those skilled in the art should understand that the specific content described below is illustrative rather than restrictive, and should not be used to limit the protection scope of the present invention.

[0050] It should be noted that although terms such as first, second, and third may be used in the embodiments of the present application for description, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0051] Specifically, an intelligent coal preparation plant network security monitoring system described in this embodiment is applied to the network security monitoring of the internal Internet of Things in a coal preparation plant. Its network hidden dangers come from network fluctuations caused by the real-time working environment of the coal preparation plant, data receiving and sending loads during data interaction within the network, and insufficient utilization of the performance of related devices. The system described in this embodiment intelligently controls the transmission process of communication signals around large mechanical equipment in the coal preparation plant.

[0052] Please refer to Figure 1 as shown, which is a schematic structural diagram of the intelligent coal preparation plant network security monitoring system described in this embodiment, including:

[0053] An interference data acquisition module, which is used for: periodically acquiring the equipment operation data and physical interference data of the coal preparation plant within the monitoring period; the equipment operation data includes the interference frequency of equipment operation and the vibration frequency of the equipment; the physical interference data includes the concentration of coal particle dust; by periodically acquiring the equipment operation data and physical interference data, multi-dimensional dynamic monitoring of the environment of the coal preparation plant is realized; through the periodic acquisition mechanism, the changes in the equipment operation state and environmental interference sources can be continuously tracked, and security vulnerabilities caused by data lag can be avoided.

[0054] Exemplarily, the equipment operation data and physical interference data of the coal preparation plant in the present application are both obtained by sensors, and the present application does not fix its acquisition method.

[0055] Please continue to refer to Figure 1 as shown, the system further includes:

[0056] A transmission data acquisition module, which is used for: real-time acquiring transmission data; the transmission data is the data for data transmission in the internal Internet of Things of the coal preparation plant.

[0057] Exemplarily, when the present application acquires the transmission data in real time, a fixed data processing device is set in a divided area for unified acquisition. The data processing device receives the transmission data in a wireless receiving manner, and the receiving frequency band is the same as the transmission frequency band of the transmission data. Acquiring in this way in real time can achieve the data processing effect of the edge data center, and the data processing device can be an electronic device with a burned-in fixed operation program; it can be understood that the transmission data is the data sent by each device through a wireless data transmission device.

[0058] Please continue to refer to Figure 1As shown, the system further includes:

[0059] An equipment area division module, configured to: obtain a planar map of a coal preparation plant, perform spatial division on the planar map of the coal preparation plant to obtain each divided area, and extract the interference characteristics and load characteristics of each divided area.

[0060] Please refer to Figure 2 As shown, the equipment area division module includes:

[0061] An acquisition unit, configured to: obtain a planar map of a coal preparation plant.

[0062] Specifically, the information included in the planar map of the coal preparation plant is: the planar diagram of the coal preparation plant, the positions of each device in the coal preparation plant, and the virtual routes for transmitting data in the coal preparation plant; wherein, the virtual route for transmitting data in the coal preparation plant is the connection straight line between the data receiving point and the data sending point.

[0063] Please continue to refer to Figure 2 As shown, the equipment area division module further includes an area division unit, which is configured to: perform spatial division on the planar map of the coal preparation plant to obtain each divided area.

[0064] Specifically, the area division unit performs spatial division on the planar map of the coal preparation plant according to the acquisition radius of the transmitted data and the number of virtual routes of the transmitted data, and the specific process is as follows:

[0065] The area division unit takes the acquisition point of the transmitted data as the center of the divided area, and takes the acquisition radius of the transmitted data as the radius of the divided area, and divides the planar map of the coal preparation plant into each divided area;

[0066] The area division unit counts the number of devices and the number of virtual routes of the transmitted data in each divided area, sets the number of devices in the divided area as n1(i), and sets the number of virtual routes of the transmitted data in the divided area as n2(i), where i is the number of devices in the coal preparation plant, and i ∈ N + .

[0067] It can be understood that the devices in the coal preparation plant described in this application are devices that can complete wireless control instructions in real time, rather than all devices in the coal preparation plant; and the coal preparation plant described in this application adopts intelligent coal preparation operation, and the control of its internal devices is all carried out by means of instruction transmission; the acquisition point of the transmitted data is the position of the above-mentioned fixed data processing device, and its position information is included in the planar map of the coal preparation plant; through zoning management (such as sorting area and processing area), refined control of network resources is realized, and the chain effect of global interference on local areas is avoided; combined with the device type and the number of virtual routes, the interference type is dynamically determined, providing structured data support for subsequent risk index calculation, and enhancing the system adaptability.

[0068] Please continue to refer to Figure 2 As shown, the device area division module further includes an interference feature judgment unit. The interference feature judgment unit is connected to the area division unit. The interference feature judgment unit judges the interference type of each divided area based on the division result of each divided area, and sets the interference feature index of each divided area according to the interference type.

[0069] Specifically, the interference feature judgment unit classifies the devices in each divided area to divide the devices in the divided area into sorting devices and processing devices, and judges the area type of the divided area according to the device type classification result in the divided area: if μ1(i) is less than μ2(i), it is determined that the area type of the i-th divided area is a sorting area; if μ1(i) is greater than μ2(i), it is determined that the area type of the i-th divided area is a processing area;

[0070] The interference feature judgment unit judges the interference type of each divided area based on the number of devices n1(i) in each divided area, the number of virtual routes n2(i) of the transmitted data in the divided area, and the area type judgment result, and sets the interference feature index of each divided area according to the interference type. The process is as follows: when the area type of the divided area is a sorting area, if a1×n1(i)+a2×n2(i) is greater than or equal to K1, the interference feature judgment unit sets the interference type of this divided area to environmental interference, and sets the interference feature index of this divided area to α1(i), and sets α1(i)=ln{e+[a1×n1(i)+a2×n2(i)-K1] / K1}; if a1×n1(i)+a2×n2(i) is less than K1, the interference feature judgment unit sets the interference type of this divided area to low interference; e is the natural logarithm;

[0071] When the area type of the divided area is a processing area, if a3×n1(i)+a4×n2(i) is greater than or equal to K2, the interference feature judgment unit sets the interference type of this divided area to frequency band interference, and sets the interference feature index of this divided area to α2(i), and sets α2(i)=exp{[a3×n1(i)+a4×n2(i)-K2] / K2}; if a1×n1(i)+a2×n2(i) is less than K2, the interference feature judgment unit sets the interference type of this divided area to conventional interference, and sets the interference feature index of this divided area to α3(i), and sets α3(i)=a3×n1(i)+a4×n2(i);

[0072] Among them, K1 is the first preset interference constant, K2 is the second preset interference constant, and a1, a2, a3, and a4 are the interference weight of the sorting area, the load weight of the sorting area, the interference weight of the processing area, and the load weight of the interference area, respectively.

[0073] It can be understood that in this application, a1 + a2 = 0.01, and a2 + a3 = 0.01; the interference types in the quantization area (such as environmental interference or conventional interference) are quantified to avoid subjective judgment errors and improve the objectivity of interference classification; through the preset interference constants (such as K1, K2) and weight factors (such as a1, a2), different coal preparation plant layouts can be flexibly adapted, enhancing the versatility and scenario expansion ability of the system.

[0074] Exemplarily, the value of K2 in this application should be greater than the value of K1. The specific values of K1 and K2 can be freely set by those skilled in the art, as long as their value requirements are met. In the application scenario of this application, the optimal value of K1 is 0.3, and the optimal value of K2 is 0.6; the process of classifying equipment in this application is specifically to establish an equipment type table and match the equipment in the divided area to determine the equipment type. For example: sorting equipment is mainly used to separate coal according to its physical properties (such as density, particle size, etc.) to remove impurities and improve the quality of coal, including heavy medium shallow trough scraper conveyors, heavy medium cyclones, jigs, flotation machines, etc.; processing equipment is mainly used for coal crushing, screening, dehydration and other processing processes, aiming to adjust the physical state of coal for subsequent transportation or sales, including centrifuges, screening equipment (such as vibrating screens), crushers, conveying equipment (such as belt conveyors), etc.; at the same time, in the application scenario of this application, the sorting equipment and the processing equipment are respectively in two parts of the coal preparation plant. Therefore, the types of sorting equipment and processing equipment in their divided areas are unique; and this application gives a scenario where sorting equipment and processing equipment are mixed to adapt to coal preparation plants under various layouts. Furthermore, this application does not analyze the scenario where the sorting equipment and the processing equipment in the same divided area are the same, which does not belong to the analysis scope of this application.

[0075] Please continue to refer to Figure 2 As shown, the equipment area division module further includes a load feature extraction unit. The load feature extraction unit is connected to the area division unit, and the load feature extraction unit sets the load feature index of each division area based on the division result of each division area; the node load index reflects the nodes of each division area.

[0076] Specifically, the process of the load feature extraction unit setting the load feature index of each division area is as follows:

[0077] The load feature extraction unit calculates the node load frequency V(i) based on the transmission frequency v(i)(j) of each virtual route in each division area, and sets V(i) = ∑j＝1 v(i)(j), and then construct the load characteristic index of each partition area by setting the node frequency threshold PV: when V(i) is less than PV, the load characteristic index of this partition area is not set; when V(i) is greater than or equal to PV, the load characteristic index of this partition area is set to β(i), and the offset ratio of the node load frequency V(i) of this partition area compared to the node frequency threshold PV is used as the value of β(i).

[0078] It can be understood that in this embodiment, no specific limitation is imposed on the value of the node frequency threshold PV, and those skilled in the art can freely set it as long as it meets the value requirements of the node frequency threshold PV. In this embodiment, the node frequency threshold PV is set to Vmax × 0.7; where Vmax is the maximum data processing rate of the data processing device; the load status is dynamically determined through the node frequency threshold (PV) to effectively identify high-load areas and avoid data transmission bottlenecks; the load characteristic index is quantified by the offset ratio, intuitively reflecting the network pressure distribution and providing key input parameters for the line status monitoring module.

[0079] Exemplarily, the reason for taking the transmission frequency of each virtual route as the data source for constructing the load characteristic index in this embodiment is that the data size and format for each data transmission are of a fixed size and fixed format; therefore, the transmission frequency can be used alone as the data for constructing the load characteristic index; those skilled in the art can also use the data transmission bandwidth of each virtual route as a second factor to construct the load characteristic index.

[0080] Please continue to refer to Figure 1 as shown, the system further includes:

[0081] A real-time monitoring module, configured to: determine the interference status of each partition area within the monitoring period based on the device operation data and physical interference data within the monitoring period.

[0082] The real-time monitoring module combines the main frequency energy ratio and the dust concentration coupling model to comprehensively evaluate the interference sources (such as the synergistic effects of mechanical vibration and dust), improving the scientific nature of status determination; automatically switching to the anti-interference LoRa protocol in the abnormal state, significantly reducing the data transmission packet loss rate, and ensuring the reliable transmission of key instructions.

[0083] Please refer to Figure 3 as shown, the real-time monitoring module includes a first status monitoring unit, which is configured to determine the interference status of each partition area within the monitoring period based on the device operation data within the monitoring period.

[0084] Specifically, the first status monitoring unit filters the interference frequencies in each partition area within a preset interference frequency band range.

[0085] The first state monitoring unit calculates the proportion of the main frequency energy of each divided area based on the filtered interference frequency, and determines the interference state of each divided area during the monitoring period according to the proportion of the main frequency energy: if the proportion of the main frequency energy of the i-th divided area is greater than 70%, it is determined that the interference state of this divided area is normal; otherwise, it is determined that the interference state of this divided area is abnormal.

[0086] When the interference state of the i-th divided area is abnormal, the first state monitoring unit switches the transmission protocol of the transmitter end of the virtual route of the transmission data passing through the i-th divided area to the anti-interference LoRa protocol.

[0087] The first state monitoring unit filters out invalid signals through a preset interference frequency band range (1 - 500 MHz), reduces the interference of noise on the analysis, and improves the accuracy of the main frequency energy calculation; based on the 70% threshold to determine the interference state, simplifies the decision-making logic in a complex environment, and ensures the system response speed and stability.

[0088] Please continue to refer to Figure 3 As shown, the real-time monitoring module is also provided with a dust correlation analysis unit, which is connected to the first state monitoring unit. The dust correlation analysis unit is used to construct a coupling model between the coal particle dust concentration and the main frequency, and update the interference state of the divided area according to the construction result of the coupling model.

[0089] Specifically, the dust correlation analysis unit constructs a coupling model between the coal particle dust concentration and the main frequency:

[0090] γ(i) = exp{-[k1×ρ(i) 1.5 +k2×ln(f + 1)]};

[0091] In the formula, ρ(i) is the coal particle dust concentration of the i-th divided area during the monitoring period, f is the main frequency of data transmission, γ(i) is the dust-vibration attenuation index of the i-th divided area, k1 is the dust empirical factor, and k2 is the main frequency empirical factor.

[0092] The dust correlation analysis unit updates the interference state of the divided area according to the dust-vibration attenuation index of the divided area: when γ(i) is less than the preset attenuation value, the interference state of this divided area is not changed; when γ(i) is greater than or equal to the preset attenuation value, if the interference state is normal and the proportion of the main frequency energy is less than 60%, the dust correlation analysis unit updates the interference state of this divided area to an abnormal state.

[0093] The dust correlation analysis unit quantifies the impact of dust on signal transmission through an exponential decay model, reveals the non-linear relationship between dust concentration and frequency decay, and provides a theoretical basis for updating the interference state; combines the main frequency energy ratio of 60% to dynamically correct the interference state, avoids misjudgment of a single parameter, and improves the fault tolerance of the system.

[0094] Specifically, in this embodiment, the values of the dust experience factor k1 and the main frequency experience factor k2 are 0.003 and 0.12 respectively, and their values are determined by the empirical values in the coal preparation plant. The dust-vibration attenuation index reflects the increasing and decreasing relationship between the coal particle dust concentration and the main frequency; at the same time, the best value of the preset attenuation value is 0.5.

[0095] Please continue to refer to Figure 3 As shown, the real-time monitoring module further includes an equipment vibration monitoring unit, which is connected to the dust correlation analysis unit. The equipment vibration monitoring unit is used to adjust the interference state update process of the divided areas according to the equipment vibration frequencies in each divided area within the monitoring period;

[0096] The equipment vibration monitoring unit compares and judges the vibration frequencies of each equipment within the monitoring period with the standard vibration frequency as the threshold, so as to obtain the vibration abnormality analysis results of each equipment within the monitoring period. The vibration abnormality analysis results of each equipment include normal vibration and abnormal vibration;

[0097] The equipment vibration monitoring unit counts the proportion of equipment with abnormal vibration, and uses the ratio of the preset attenuation value to the proportion of equipment with abnormal vibration as the adjusted preset attenuation value.

[0098] Specifically, the standard vibration frequency is the vibration frequency threshold that causes the network interface to loosen and the data transmission delay to fluctuate. In this application, the standard vibration frequency is set to 200 Hz; it can be understood that the preset interference frequency band range in this embodiment is 1 - 500 MHz, and the signal frequencies within this interference frequency band range will have an interference impact on the transmission frequency band.

[0099] The equipment vibration monitoring unit takes the standard vibration frequency (200 Hz) as the benchmark, quickly identifies abnormal vibration of equipment (such as interface loosening), prevents network interruption caused by physical layer faults; dynamically adjusts the attenuation value threshold, makes the judgment of the dust correlation analysis unit more in line with the actual working conditions, and enhances the robustness of the model.

[0100] Please continue to refer to Figure 1 As shown, the system further includes a line state monitoring module, which is connected to the real-time monitoring module and the equipment area division module. The line state monitoring module is used to comprehensively judge the data transmission states of each virtual route according to the interference states and load characteristic indices of each divided area within the monitoring period.

[0101] Specifically, the line status monitoring module sets the risk index η(z) of each virtual route, and sets η(z)=∑ r＝1 (The main frequency energy ratio of the r-th divided area - 0.7)×β(r);

[0102] In the formula, r represents the digital subscript of the divided area where the interference state of the z-th virtual route passes through is abnormal, and β(r) represents the load characteristic index of the r-th divided area;

[0103] Based on the risk index η(z) of each virtual route, the line status monitoring module judges the data transmission status of each virtual route in the way of threshold comparison, and judges the data transmission status of each virtual route as two states: normal and abnormal.

[0104] Specifically, when judging the data transmission status of each virtual route in the way of threshold comparison in this embodiment, the set threshold can be 0.7; furthermore, the data transmission status of the virtual route greater than this set threshold is abnormal; combining the load characteristic index of the abnormal area, quantifying the transmission risk of the virtual route, and avoiding data loss caused by high-risk paths; quickly classifying normal and abnormal routes through threshold comparison (such as 0.7), providing a decision-making basis for the data transmission control module, and shortening the fault response time.

[0105] Please continue to refer to Figure 1 As shown, the system further includes:

[0106] A data transmission control module, which is connected to the line status monitoring module, the real-time monitoring module and the device area division module. The data transmission control module is used for: establishing a real-time information transmission map based on the interference state, interference characteristic index and data transmission status of each divided area, and controlling the transmission process of the transmitted data with the real-time information transmission map, and outputting the transmission process of the transmitted data to the user.

[0107] Please refer to Figure 4 As shown, the data transmission control module includes:

[0108] An information map construction unit, which is used for: establishing a real-time information transmission map based on the interference state, interference characteristic index and data transmission status of each divided area.

[0109] Specifically, the information map construction unit counts each divided area with an abnormal interference state, and performs a descending order sorting on each divided area with an abnormal interference state with the interference characteristic index as the sorting data;

[0110] The information map construction unit deletes the virtual routes with abnormal data transmission status from the plane map of the coal preparation plant, and takes each divided area with normal interference status as a node, and generates a modified virtual route through the Dijkstra algorithm;

[0111] The information map construction unit uses the plane map of the coal preparation plant storing the modified virtual route as the real-time information transmission map.

[0112] Specifically, after deleting the abnormal routes, the information map construction unit generates a new path based on the normal nodes to ensure the continuity and reliability of data transmission; and updates the map information in real time, so that the network topology always reflects the current environmental state and improves the dynamic adaptability of the system.

[0113] Please continue to refer to Figure 4 As shown, the data transmission control module further includes:

[0114] A transmission control unit, which is connected to the information map construction unit, and the transmission control unit controls the transmission process of the transmitted data with the real-time information transmission map.

[0115] Specifically, the transmission control unit sets the transmission weight of each divided area, and controls the communication rate of the data processing devices in each divided area according to the transmission weight of each divided area;

[0116] The transmission control unit sets the transmission weight of each divided area as W(h), and sets W(h) = the interference characteristic index of the h-th divided area / V(h);

[0117] The transmission control unit sets the communication rate of the data processing devices in each divided area as CV(h), and sets CV(h) = PCH(h) × [1 + W(h)]; where PCH(h) is the communication rate of the data processing devices in the h-th divided area in the current monitoring period;

[0118] The transmission control unit uses the communication rate of the data processing devices in each divided area to control the transmission process of the transmitted data.

[0119] Specifically, the weight formula combines the interference characteristic and the load characteristic to realize the differential control of the regional communication rate; the rate adjustment formula (CV(h) = PCH(h) × [1 + W(h)]) balances the transmission efficiency and the anti-interference requirement, and avoids the bandwidth waste in the high-interference area.

[0120] Please continue to refer to Figure 4 As shown, the data transmission control module further includes:

[0121] An output unit, the output unit is connected to the transmission control unit, and the output unit is configured to output the transmission process of the transmission data to the user.

[0122] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An intelligent network security monitoring system for coal preparation plants, characterized in that: include: The real-time monitoring module is used to: determine the interference status of each divided area within the monitoring period according to the equipment operation data and physical interference data within the monitoring period, and construct a coupling model between the coal dust concentration and the main frequency, and update the interference status of the divided area according to the coupling model construction result; The line status monitoring module is used to comprehensively judge the data transmission status of each virtual route according to the interference status and load characteristic index of each divided area within the monitoring period; The data transmission control module is used to establish a real-time information transmission map based on the interference status of each divided area, the interference characteristic index, and the data transmission status of the virtual route, and control the transmission process of the transmission data with the real-time information transmission map.

2. The intelligent network security monitoring system for coal preparation plant according to claim 1 is characterized in that: The real-time monitoring module includes a first state monitoring unit, which is used to determine the interference state of each divided area within the monitoring period based on the equipment operation data within the monitoring period; The first state monitoring unit filters the interference frequencies in each divided area within a preset interference frequency band range; The first state monitoring unit calculates the main frequency energy proportion of each divided area according to the filtered interference frequency, and determines the interference state of each divided area within the monitoring period according to the main frequency energy proportion: if the main frequency energy proportion of the i-th divided area is greater than 70%, the interference state of the divided area is determined to be normal; otherwise, the interference state of the divided area is determined to be abnormal; When the interference state of the i-th divided area is abnormal, the first state monitoring unit switches the transmission protocol of the transmitting end of the virtual route for transmitting data passing through the i-th divided area to the anti-interference LoRa protocol.

3. The intelligent network security monitoring system for coal preparation plant according to claim 2 is characterized in that: The real-time monitoring module is also provided with a dust correlation analysis unit, which constructs a coupling model between the coal dust concentration and the main frequency: γ(i)=exp{-[k1×ρ(i) 1.5 +k2×ln(f+1)]}; Where ρ(i) is the coal dust concentration in the ith divided area during the monitoring period, f is the data transmission main frequency, γ(i) is the dust-vibration attenuation index in the ith divided area, k1 is the dust experience factor, and k2 is the main frequency experience factor; The dust association analysis unit updates the interference state of the divided area according to the dust-vibration attenuation index of the divided area: when γ(i) is less than the preset attenuation value, the interference state of the divided area is not changed; when γ(i) is greater than or equal to the preset attenuation value, if the interference state is normal and the main frequency energy accounts for less than 60%, the dust association analysis unit updates the interference state of the divided area to an abnormal state.

4. The intelligent network security monitoring system for coal preparation plant according to claim 3 is characterized in that: The real-time monitoring module further includes an equipment vibration monitoring unit, which is used to adjust the interference state update process of the divided area according to the equipment vibration frequency of each divided area within the monitoring period; The equipment vibration monitoring unit compares and judges the vibration frequency of each device within the monitoring period using the standard vibration frequency as a threshold value to obtain the vibration abnormality analysis result of each device within the monitoring period, and the vibration abnormality analysis result of each device includes normal vibration and abnormal vibration; The equipment vibration monitoring unit counts the proportion of equipment with abnormal vibration, and uses the ratio of the preset attenuation value to the proportion of equipment with abnormal vibration as the adjusted preset attenuation value.

5. The intelligent network security monitoring system for coal preparation plant according to claim 4 is characterized in that: The line status monitoring module sets the risk index η(z) of each virtual route, setting η(z)=∑ r＝1 (the main frequency energy proportion of the rth divided area - 0.7) × β (r); Where r represents the numerical subscript of the divided area where the zth virtual route passes through the abnormal interference state, and β(r) represents the load characteristic index of the rth divided area; The line status monitoring module determines the data transmission status of each virtual route based on the risk index η(z) of each virtual route by threshold comparison, and determines the data transmission status of each virtual route as normal or abnormal.

6. The intelligent network security monitoring system for coal preparation plant according to claim 5 is characterized in that: The data transmission control module includes an information map construction unit, which counts each divided area with abnormal interference status, and sorts each divided area with abnormal interference status in descending order using the interference characteristic index as sorting data; The information map construction unit deletes the virtual route with abnormal data transmission status from the coal preparation plant plan map, and generates a modified virtual route by using the Dijkstra algorithm with each divided area with normal interference status as a node; The information map construction unit uses the plan map of the coal preparation plant storing the modified virtual route as the real-time information transmission map.

7. The intelligent network security monitoring system for coal preparation plant according to claim 6 is characterized in that: The data transmission control module further includes a transmission control unit, which sets a transmission weight for each divided area and controls the communication rate of the data processing device in each divided area according to the transmission weight of each divided area; The transmission control unit sets the transmission weight of each divided area to W(h), and sets W(h)=interference characteristic index of the hth divided area / V(h); The transmission control unit sets the communication rate of the data processing device in each divided area to CV(h), setting CV(h)=PCH(h)×[1+W(h)]; The transmission control unit uses the communication rate of the data processing device in each divided area as a control process for the transmission of the transmission data.

8. The intelligent network security monitoring system for coal preparation plant according to claim 1 is characterized in that: Also includes: Interference data collection module, used to periodically collect equipment operation data and physical interference data of the coal preparation plant within the monitoring period; Transmission data acquisition module, used for real-time acquisition of transmission data; The equipment area division module is used to obtain the plane map of the coal preparation plant, and spatially divide the plane map of the coal preparation plant to obtain each divided area, and extract the interference characteristics and load characteristics of each divided area; The equipment area division module includes an acquisition unit for acquiring a plan map of the coal preparation plant; The equipment area division module further includes an area division unit, which is used to spatially divide the plane map of the coal preparation plant to obtain each divided area; The area division unit counts the number of devices in each divided area and the number of virtual routes for transmitting data, and sets the number of devices in the divided area to n1(i), and the number of virtual routes for transmitting data in the divided area to n2(i), where i is the number of devices in the coal preparation plant, i∈N + .

9. The intelligent network security monitoring system for coal preparation plant according to claim 8 is characterized in that: The device area division module further includes an interference feature judgment unit, which divides the devices in each divided area into types, so as to divide the devices in the divided area into sorting devices and processing devices, and judges the area type of the divided area according to the equipment type division result in the divided area, and divides the divided area into a sorting area and a processing area; The interference characteristic judgment unit judges the interference type of each divided area based on the number of devices n1(i) in each divided area, the number of virtual routes for transmitting data in the divided area is set to n2(i) and the area type judgment result. The interference types include environmental interference, low interference, frequency band interference, and conventional interference, and sets the interference characteristic index of each divided area according to the interference type.

10. The intelligent network security monitoring system for coal preparation plant according to claim 9 is characterized in that: The equipment area division module further includes a load feature extraction unit, which sets a load feature index of each divided area based on the division result of each divided area; the node load index is a node that reflects each divided area; The process of setting the load characteristic index of each divided area by the load characteristic extraction unit is as follows: The load feature extraction unit calculates the node load frequency V(i) based on the transmission frequency v(i)(j) of each virtual route in each divided area, and sets V(i)=∑ j＝1 v(i)(j), and then construct the load characteristic index of each divided area by setting the node frequency threshold PV: when V(i) is less than PV, the load characteristic index of the divided area is not set; When V(i) is greater than or equal to PV, the load characteristic index of the divided area is set to β(i), and the offset ratio of the node load frequency V(i) of the divided area to the node frequency threshold PV is used as the value of β(i).

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