An intelligent network security monitoring system for coal preparation plants

Abstract

The present invention relates to the field of transmission control technology, and in particular to an intelligent network security monitoring system for a coal preparation plant. The system comprises: an interference data acquisition module that periodically collects equipment operation data and physical interference data of the coal preparation plant within a monitoring period; a transmission data acquisition module that collects transmission data in real time; an equipment area division module that obtains a plan map of the coal preparation plant to obtain each divided area and extracts interference characteristics and load characteristics of each divided area; a real-time monitoring module that determines the interference status of each divided area within the monitoring period and constructs a coupling model between coal particle dust concentration and main frequency to update the interference status of the divided area; a line status monitoring module that determines the data transmission status of each virtual route; and a data transmission control module that establishes a real-time information transmission map and uses the real-time information transmission map to control the transmission process of the transmission data. The present invention effectively improves the security of network transmission in the coal preparation plant.

Description

Technical Field

[0001] The present invention relates to the field of transmission control technology, and in particular 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. However, these highly integrated information systems face risks from various security threats, including cyberattacks and data leaks. Existing security measures are often insufficient to address the increasingly complex cybersecurity challenges, especially in the context of industrial control systems, which require more specialized solutions.

[0003] Chinese Patent Publication No. CN102843261A discloses a role-based distributed authority 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 master authorization server installed with a master service program and several slave authorization servers installed with slave service programs. Each slave authorization server corresponds to an independent department or organization within the group, and the slave authorization servers communicate with the master authorization server through a data transmission line. It can be seen that the invention is based on coal preparation plant communication and realizes distributed communication management, but does not analyze the signal interference problem within the coal preparation plant, resulting in low security in the data transmission process. Summary of the Invention

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

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

[0006] An intelligent network security monitoring system for a coal preparation plant, comprising:

[0007] The real-time monitoring module is used 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, and to construct a coupling model between the coal dust concentration and the main frequency, and to update the interference status of the divided area based on the results of the coupling model construction;

[0008] The line status monitoring module is used 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] 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 to control the transmission process of the transmitted data using the real-time information transmission map.

[0010] Optionally, 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;

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

[0012] The first state monitoring unit calculates the main frequency energy ratio of each divided area based on the filtered interference frequency, and determines the interference state 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%, 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;

[0013] 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.

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

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

[0016] 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;

[0017] 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 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 correlation analysis unit updates the interference state of the divided area to an abnormal state.

[0018] Optionally, 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;

[0019] 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 to obtain a vibration abnormality analysis result of each device within the monitoring period, wherein the vibration abnormality analysis result of each device includes normal vibration and abnormal vibration;

[0020] 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.

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

[0022] 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;

[0023] 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.

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

[0025] 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;

[0026] 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.

[0027] Optionally, 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;

[0028] 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);

[0029] 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)];

[0030] The transmission control unit uses the communication rate of the data processing device in each divided area as a control method for the transmission process of the transmission data.

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

[0032] Interference data acquisition module, used to periodically collect equipment operation data and physical interference data of the coal preparation plant during the monitoring period;

[0033] Transmission data acquisition module, used to collect transmission data in real time;

[0034] The equipment area division module is used to obtain a plan map of the coal preparation plant, and spatially divide the plan map 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 for acquiring a plan map of the coal preparation plant;

[0036] 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 divided areas;

[0037] 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 + .

[0038] Optionally, the device area division module further includes an interference feature judgment unit, which classifies 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 classification result 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 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.

[0040] Optionally, the device area division module further includes a load feature extraction unit, which sets a load feature index for each divided area based on the division result of each divided area; the node load index reflects the node load of each divided area;

[0041] The process of the load characteristic extraction unit setting 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), and then the load characteristic index of each divided area is constructed 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).

[0043] Compared with the existing technology, the beneficial effects of the present invention are: 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 in the data transmission process, ensuring the reliable transmission of key instructions; at the same time, the dual verification mechanism of the dust correlation analysis unit and the main frequency energy ratio avoids the misoperation caused by a single parameter judgment, 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 briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

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

[0046] Figure 2 This is a structural diagram of the device area division module in this embodiment.

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

[0048] Figure 4 Schematic diagram of the structure of the data transmission control module in this embodiment. DETAILED DESCRIPTION

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

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

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

[0052] See also Figure 1 As shown, it is a schematic diagram of the structure of the intelligent coal preparation plant network security monitoring system according to this embodiment, including:

[0053] The interference data acquisition module is used to: periodically collect equipment operation data and physical interference data of the coal preparation plant during the monitoring period; the equipment operation data includes the interference frequency of the equipment operation and the vibration frequency of the equipment; the physical interference data includes the coal particle dust concentration; by periodically collecting equipment operation data and physical interference data, multi-dimensional dynamic monitoring of the coal preparation plant environment is achieved; through the periodic collection mechanism, changes in equipment operation status and environmental interference sources can be continuously tracked to avoid security vulnerabilities caused by data lags.

[0054] For example, the equipment operation data and physical interference data of the coal preparation plant in this application are acquired by sensors, and the acquisition method is not fixed in this application.

[0055] Please continue reading Figure 1 As shown, the system further includes:

[0056] The transmission data acquisition module is used to: collect transmission data in real time; the transmission data is data transmitted by the Internet of Things within the coal preparation plant.

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

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

[0059] The equipment area division module is used to obtain a 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.

[0060] See also Figure 2 As shown, the device area division module includes:

[0061] An acquisition unit is used to: acquire a plan map of the coal preparation plant.

[0062] Specifically, the information contained in the plan map of the coal preparation plant includes: the plan map of the coal preparation plant, the location of each equipment in the coal preparation plant, and the virtual route for transmitting data in the coal preparation plant; wherein the virtual route for transmitting data in the coal preparation plant is the straight line connecting the data receiving point and the data sending point.

[0063] Please continue reading Figure 2 As shown, 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 divided areas.

[0064] Specifically, the area division unit divides the plane map of the coal preparation plant into two parts according to the data transmission collection radius and the number of virtual routes for data transmission. The specific process is as follows:

[0065] The area division unit divides the plane map of the coal preparation plant into each divided area by taking the collection point of the transmission data as the center of the divided area and taking the collection radius of the transmission data as the radius of the divided area;

[0066] 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 + .

[0067] It can be understood that the equipment in the coal preparation plant described in this application is equipment that can complete wireless control instructions in real time, not all equipment in the coal preparation plant; and the coal preparation plant described in this application adopts intelligent coal preparation operations, and the control of the equipment therein is controlled by means of instruction transmission; the collection point of the transmission data is the location of the above-mentioned fixed data processing device, and its location information is included in the floor map of the coal preparation plant; through zoning management (such as sorting area and processing area), refined control of network resources is achieved to avoid the chain effect of global interference on local areas; combined with the equipment type and the number of virtual routes, the interference type is dynamically determined to provide structured data support for subsequent risk index calculation and enhance system adaptability.

[0068] Please continue reading Figure 2 As shown, the device area division module also includes an interference feature judgment unit, which is connected to the area division unit. The interference feature judgment unit judges the interference type of each divided area based on the division results 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 into sorting devices and processing devices, and judges the area type of the divided area according to the equipment type classification result in the divided area: if μ1(i) is less than μ2(i), the area type of the i-th divided area is determined to be a sorting area; if μ1(i) is greater than μ2(i), the area type of the i-th divided area is determined to be 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 for transmitting data in the divided area is set to n2(i) 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 the divided area to environmental interference, and sets the interference feature index of the divided area to α1(i), setting 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 the divided area to low interference; e is a 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 the divided area to frequency band interference, and sets the interference feature index of the divided area to α2(i), setting 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 the divided area to conventional interference, and sets the interference feature index of the divided area to α3(i), setting 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, a1, a2, a3, and a4 are the sorting area interference weight, sorting area load weight, processing area interference weight, and interference area load weight, respectively.

[0073] It can be understood that in this application, a1+a2=0.01, a2+a3=0.01; quantify the regional interference type (such as environmental interference or conventional interference) to avoid subjective judgment errors and improve the objectivity of interference classification; by presetting interference constants (such as K1, K2) and weight factors (such as a1, a2), flexibly adapt to different coal preparation plant layouts to enhance the system's versatility and scenario expansion capabilities.

[0074] For example, 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: the 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. It includes heavy medium shallow trough scrapers, heavy medium cyclones, jigs, flotation machines, etc., which process The 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 processing equipment are respectively located in two parts of the coal preparation plant. Therefore, the types of sorting equipment and processing equipment in its divided area are unique; and this application provides a scenario of mixed sorting equipment and processing equipment to adapt to coal preparation plants with various layouts. Furthermore, this application does not analyze the scenario where the sorting equipment and processing equipment are the same in the same divided area, which does not fall within the analysis scope of this application.

[0075] Please continue reading Figure 2 As shown, the device area division module also includes a load feature extraction unit, which is connected to the area division unit. The load feature extraction unit sets the load feature index of each divided area based on the division results of each divided area; the node load index reflects the nodes of each divided area.

[0076] Specifically, the process of the load characteristic extraction unit setting the load characteristic index of each divided 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 divided area, and sets V(i)=∑j＝1 v(i)(j), and then the load characteristic index of each divided area is constructed 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).

[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 the value requirement of the node frequency threshold PV is met. In this embodiment, the node frequency threshold PV is set to Vmax×0.7; wherein Vmax is the maximum rate at which the data processing device processes data; the load state is dynamically determined by the node frequency threshold (PV), high-load areas are effectively identified, and data transmission bottlenecks are avoided; the load characteristic index is quantified by the offset ratio, which intuitively reflects the network pressure distribution and provides key input parameters for the line state monitoring module.

[0079] For example, the reason why this embodiment uses the transmission frequency of each virtual route as the data source for constructing the load characteristic index is that the data size and format of each transmitted data are fixed; therefore, the transmission frequency can be used alone as 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 reading Figure 1 As shown, the system further includes:

[0081] The real-time monitoring module is used 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.

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

[0083] See also Figure 3 As shown, 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.

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

[0085] The first state monitoring unit calculates the main frequency energy ratio of each divided area based on the filtered interference frequency, and determines the interference state 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%, 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;

[0086] 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.

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

[0088] Please continue reading 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 status of the divided area according to the coupling model construction result.

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

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

[0091] 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;

[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 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 correlation analysis unit updates the interference state of the 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 nonlinear relationship between dust concentration and frequency attenuation, and provides a theoretical basis for updating the interference state; dynamically corrects the interference state in combination with the main frequency energy accounting for 60%, avoids single parameter misjudgment, and improves the system's fault tolerance.

[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 experience values ​​in the coal preparation plant. The dust-vibration attenuation index reflects the increase and decrease relationship between the coal particle dust concentration and the main frequency; at the same time, the optimal value of the preset attenuation value is 0.5.

[0095] Please continue reading 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 and 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;

[0096] 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 to obtain a vibration abnormality analysis result of each device within the monitoring period, wherein the vibration abnormality analysis result of each device includes 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 loosening of the network interface and fluctuation of data transmission delay. In this application, the standard vibration frequency is set to 200Hz; it can be understood that the preset interference frequency band range described in this embodiment is 1-500MHz, and the signal frequency within this interference frequency band will interfere with the transmission frequency band.

[0099] The equipment vibration monitoring unit uses the standard vibration frequency (200Hz) as a benchmark to quickly identify abnormal equipment vibration (such as loose interfaces) and prevent network interruptions caused by physical layer failures; it dynamically adjusts the attenuation value threshold to make the dust correlation analysis unit's judgment more in line with actual working conditions and enhance the robustness of the model.

[0100] Please continue reading Figure 1 As shown, the system also includes a line status monitoring module, which is connected to the real-time monitoring module and the equipment area division module. The line status monitoring module is used 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.

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

[0102] 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;

[0103] 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.

[0104] Specifically, this embodiment uses a threshold comparison method to determine the data transmission status of each virtual route, and the threshold value may be set to 0.7. A virtual route with a data transmission status greater than this set threshold is then considered abnormal. The load characteristic index of the abnormal area is integrated to quantify the transmission risk of the virtual route, thereby avoiding data loss caused by high-risk paths. A threshold comparison (e.g., 0.7) is used to quickly classify normal and abnormal routes, providing a decision-making basis for the data transmission control module and shortening fault response time.

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

[0106] The data transmission control module is connected to the line status monitoring module, the real-time monitoring module and the equipment area division module. The data transmission control module is used to: establish a real-time information transmission map based on the interference status, interference characteristic index and data transmission status of each divided area, and control the transmission process of the transmission data with the real-time information transmission map, and output the transmission process of the transmission data to the user.

[0107] See also Figure 4 As shown, the data transmission control module includes:

[0108] The information map construction unit 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.

[0109] Specifically, the information map construction unit 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;

[0110] 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;

[0111] 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.

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

[0113] Please continue reading Figure 4 As shown, the data transmission control module also includes:

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

[0115] Specifically, the transmission control unit 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;

[0116] 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);

[0117] 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)]; where PCH(h) is the communication rate of the data processing device in the hth divided area in the current monitoring period;

[0118] The transmission control unit uses the communication rate of the data processing device in each divided area as a control method for the transmission process of the transmission data.

[0119] Specifically, the weighting formula combines interference characteristics and load characteristics to achieve differentiated control of regional communication rates; the rate adjustment formula (CV(h) = PCH(h) × [1 + W(h)]) balances transmission efficiency and anti-interference requirements to avoid bandwidth waste in high-interference areas.

[0120] Please continue reading Figure 4 As shown, the data transmission control module also includes:

[0121] The output unit is connected to the transmission control unit and is used to output the transmission process of the transmission data to the user.

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

Claims

1. An intelligent network security monitoring system for coal preparation plants, characterized in that: include: A real-time monitoring module is used 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, and to construct a coupling model between the coal dust concentration and the main frequency, and to update the interference status of the divided area based on the coupling model construction results. The real-time monitoring module is connected to the equipment area division module; The real-time monitoring module includes a first state monitoring unit and a dust correlation analysis unit. 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 ratio of each divided area based on the filtered interference frequency, and determines the interference state 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%, 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 of the transmission data passing through the i-th divided area to the anti-interference LoRa protocol; The dust correlation analysis unit is used to 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; A line status monitoring module, configured to comprehensively determine the data transmission status of each virtual route based on the interference status and load characteristic index of each divided area within a monitoring period, wherein the line status monitoring module is connected to the device area division module; The line status monitoring module sets the risk index η(z) of each virtual route, setting ； 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 uses the risk index η(z) of each virtual route as a basis and determines the data transmission status of each virtual route by comparing the threshold value, and determines the data transmission status of each virtual route as normal or abnormal. The data transmission control module is used to establish a real-time information transmission map based on the interference status, interference characteristic index and data transmission status of each divided area, and control the transmission process of the transmission data with the real-time information transmission map. The data transmission control module is connected to the line status monitoring module and the real-time monitoring module, wherein the setting process of the interference characteristic index 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 characteristic judgment unit sets the interference type of the divided area to environmental interference, and sets the interference characteristic index of the divided area to α1(i), setting 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 characteristic judgment unit sets the interference type of the divided area to low interference; e is the natural logarithm; 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 the divided area to frequency band interference, and sets the interference feature index of the divided area to α2(i), setting 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 the divided area to normal interference, and sets the interference feature index of the divided area to α3(i), setting α3(i)=a3×n1(i)+a4×n2(i); Among them, K1 is the first preset interference constant, K2 is the second preset interference constant, a1, a2, a3, and a4 are the sorting area interference weight, sorting area load weight, processing area interference weight, and interference area load weight respectively; the number of devices in each divided area and the number of virtual routes for transmitting data are counted, and the number of devices in the divided area is set to n1(i), and the number of virtual routes for transmitting data in the divided area is set to n2(i), where i is the number of devices in the coal preparation plant, i∈N + .

2. The intelligent network security monitoring system for coal preparation plant according to claim 1 is characterized in that: The real-time monitoring module is further 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 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 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 correlation analysis unit updates the interference state of the divided area to an abnormal state.

3. The intelligent network security monitoring system for coal preparation plant according to claim 2 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 to obtain a vibration abnormality analysis result of each device within the monitoring period, wherein 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.

4. The intelligent network security monitoring system for coal preparation plant according to claim 3 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.

5. The intelligent network security monitoring system for coal preparation plant according to claim 4 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 method for the transmission process of the transmission data.

6. The intelligent network security monitoring system for coal preparation plant according to claim 5 is characterized in that: Also includes: Interference data acquisition module, used to periodically collect equipment operation data and physical interference data of the coal preparation plant during the monitoring period; Transmission data acquisition module, used to collect transmission data in real time; an equipment area division module, configured to obtain a plan map of the coal preparation plant, spatially divide the plan map of the coal preparation plant to obtain divided areas, and extract interference characteristics and load characteristics of each divided area; the equipment area division module is connected to the interference data acquisition module and the transmission data acquisition module; 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 perform spatial division on the plane map of the coal preparation plant to obtain divided areas.

7. The intelligent network security monitoring system for coal preparation plant according to claim 6 is characterized in that: The device area division module further includes a load characteristic extraction unit, which sets a load characteristic index for each divided area based on the division results of each divided area; the node load index reflects the node load of each divided area; The process of the load characteristic extraction unit setting the load characteristic index of each divided area 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 , 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 compared to the node frequency threshold PV is used as the value of β(i).

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