Multi-port output operation system of belt conveyor protection device of coal preparation plant

Abstract

A coal preparation plant belt conveyor protection device multi-port output operation system belongs to the coal washing field, and comprises a system multi-port signal output management module, a priority division module, an intelligent signal scheduling module, a fuzzy logic locking control module, a self-adaptive fault transfer module and an intelligent prediction analysis module. According to the method, the shutdown threshold value is dynamically adjusted, the design of the fuzzy membership function is combined, the shutdown triggering condition can be adjusted in a self-adaptive mode according to the actual working condition, and shutdown events caused by erroneous judgment are effectively reduced. By optimizing the design of the output ports, a plurality of output ports and maintenance ports are added, protection signals with different priorities can be ensured to be independently output, normal output of other protection signals cannot be affected even if part of protection devices break down, and the stability and safety of the system are effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of coal washing, and more specifically, particularly relates to a multi-port output operating system for a belt conveyor protection device in a coal preparation plant. Background Art

[0002] With the increasingly severe safety situation, belt conveyors in coal preparation plants, as the most common transportation equipment, have frequently occurred safety accidents recently, and in severe cases, even caused casualties. To ensure the safety of belt conveyors and be able to stop running in time to avoid the expansion of accidents when an accident occurs, most coal preparation plants install various belt protection devices (mostly nine kinds of belt protection devices) on the belt conveyors. However, in actual operation, due to the fact that the signal output port of the belt protection device is only one, when used in conjunction with the centralized control and locking system of the coal preparation plant, false alarms often occur, resulting in the belt often automatically stopping running. As a result, most coal preparation plants choose to only install belt protection devices but not connect them to the centralized control, losing the original intention of installing the protection device. This proposal conducts a detailed investigation of the on-site belt protection devices, classifies and sorts the signal output ports according to the importance of protection, and can independently choose whether to lock with the centralized control, eliminating false alarms of the belt that affect safe production while enhancing the fault tolerance rate of the protection equipment to achieve true safe production.

[0003] With the requirements of safe production and intelligentization in coal preparation plants, belt conveyor protection devices are being gradually installed in each coal preparation plant, but the use effect is poor. Affected by the unclear importance levels of existing protection devices, single signal transmission ports, and the large amount of coal dust and relatively humid operating environment, the protection devices often affect safe production and do not really play a protective role. The present invention adjusts the output ports of the belt conveyor protection device, changing from the undifferentiated output of the same port in the prior art to hierarchical and key-point outputs. At the same time, a maintenance channel is reserved for individual protection devices when there are faults, solving the problems in the prior art such as high false alarm rates of faults, false alarms when locking with the centralized control that affect the operation of equipment, or directly being unable to effectively lock with the centralized control and resulting in the failure to play the protective role. Summary of the Invention

[0004] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title. However, such simplifications or omissions shall not be used to limit the scope of the present invention.

[0005] In view of the above or existing problems of the multi-port output operating system for belt conveyor protection devices in coal preparation plants, the present invention is proposed.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] An embodiment of the present invention provides a multi-port output operating system for a belt conveyor protection device in a coal preparation plant, including: a multi-port signal output management module, which is used to perform signal hierarchical output based on the protection device, optimize the locking logic, set 3 output ports and 1 maintenance port to ensure hierarchical processing of protection signals with different priorities;

[0008] A priority division module, which is used to divide 9 protection device signals S i according to priorities by using a priority matrix P, and then allocate the multi-port signals;

[0009] An intelligent signal scheduling module, which is used to adjust the port signals through dynamic weight adjustment and adjust the dynamic port output by using signal strength calculation;

[0010] A fuzzy logic locking control module, which is used to dynamically adjust the locking logic based on fuzzy inference control and set rules for control;

[0011] An adaptive fault transfer module, which is used for redundant signal transfer to ensure the normal operation of the system when some protection devices fail;

[0012] An intelligent prediction and analysis module, which is used to predict signal anomalies of the belt conveyor protection device by using machine learning algorithms to improve the maintenance efficiency.

[0013] As a preferred solution of the multi-port output operating system for the belt conveyor protection device in the coal preparation plant of the present invention, wherein: the protection device includes slip protection, deviation protection, coal accumulation protection, tearing protection, emergency stop protection along the line, temperature protection, smoke protection, over-temperature sprinkler protection, and tension protection.

[0014] As a preferred solution of the multi-port output operating system for the belt conveyor protection device in the coal preparation plant of the present invention, wherein: the 9 protection device signals S i are divided according to priorities, including:

[0015] The priority matrix P is as follows:

[0016]

[0017] Among them, the first row is the high-priority port 1, which is used for coal accumulation, tearing, and emergency stop along the line of key protection; the second row is the medium-priority port 2, which is used for slip, tension, and smoke detection; the third row is the low-priority port 3, which is used for deviation, temperature, and over-temperature sprinkler. The maintenance port is used to transfer the signal to the maintenance port if a certain protection device fails, without affecting the output of other signals.

[0018] As a preferred solution of the multi-port output operating system for the belt conveyor protection device in the coal preparation plant of the present invention, wherein: the further allocation of the multi-port signals includes:

[0019] The multi-port signal distribution formula is as follows:

[0020]

[0021] Among them, O j is the output signal value of port j.

[0022] As a preferred solution of the multi-port output operating system of the belt conveyor protection device in the coal preparation plant described in the present invention, wherein: the dynamic weight adjustment of the port signal includes:

[0023] Let the port signal weight be W j , define the signal strength I i and the total port signal:

[0024] I i = f(S i , τ)

[0025] Among them, τ is the time window for dynamically adjusting the signal strength.

[0026] As a preferred solution of the multi-port output operating system of the belt conveyor protection device in the coal preparation plant described in the present invention, wherein: the adjustment of the dynamic port output by using the signal strength calculation includes:

[0027] Signal strength calculation formula:

[0028] I i = f(S i , t) = αS i + β∫ 0 t S i dt

[0029] Among them, α controls the influence of the current signal, and β controls the influence of the cumulative signal;

[0030] Dynamic port output adjustment:

[0031]

[0032] If the false alarm rate of a certain port is high, its weight will be automatically reduced to reduce false triggering.

[0033] As a preferred solution of the multi-port output operating system of the belt conveyor protection device in the coal preparation plant described in the present invention, wherein: the dynamic adjustment of the locking logic based on fuzzy inference control and setting rules for control includes:

[0034] Based on the environmental factor T:

[0035] B = F(O 1 , O 2, O 3 , T)

[0036] Setting rules:

[0037] If O 1 > θ 1 , it is in a high-risk state, stop the machine immediately and issue an alarm;

[0038] If O 2 > θ 2 , it is in a medium-risk state, issue an alarm and stop the machine after manual confirmation;

[0039] If O 3 > θ 3 , it is in a low-risk state, issue an alarm, record the log after manual confirmation, and continue to observe subsequently;

[0040] If T has a great influence, increase the locking threshold to reduce false alarms.

[0041] As a preferred solution of the multi-port output operating system of the belt conveyor protection device in the coal preparation plant described in the present invention, wherein: the locking logic is dynamically adjusted based on the use of fuzzy inference control, and the setting rules are used for control, and further include:

[0042] Assume that a standard triangular membership function is used to describe the strength of the protection signal:

[0043]

[0044] Among them, x is the input signal strength, a, b, c are the boundaries of the fuzzy set, a is the starting value with a membership degree of 0, representing the threshold when the signal is at the lowest strength, b is the center point with a membership degree of 1, representing the condition when the signal strength reaches the maximum, and c is the ending value with a membership degree of 0, representing the threshold when the signal is at the highest strength;

[0045] If the ambient temperature T of the system is relatively high, adjust the threshold parameters of the high-priority protection signal O 1 to advance the trigger point of the stop signal:

[0046] a new = a - Δa, b new = b - Δb, c new = c - Δc

[0047] Among them, Δa, Δb, Δc are the threshold change amounts adjusted according to environmental factors such as the current temperature or load;

[0048] Assume that there is a linear relationship between the temperature T and the protection signal O 1 , we can adjust the parameters of the membership function in real time according to the temperature:

[0049]

[0050] Among them, μO 1 (x, T) represents the fuzzy membership degree of the high-priority signal O 1 at the ambient temperature T, T 0 is the reference temperature, and α is the adjustment coefficient of the temperature to the sensitivity of the protection signal;

[0051] When the ambient temperature rises, α(T - T 0 ) increases, resulting in an enhanced sensitivity of the high-priority signal, thereby narrowing the threshold range for triggering a shutdown and giving an early warning of equipment failure.

[0052] As a preferred solution of the multi-port output operating system of the belt conveyor protection device in the coal preparation plant described in the present invention, wherein: the redundant signal transfer ensures the normal operation of the system when some protection devices fail, including:

[0053] Suppose a certain protection device fails and its signal cannot be transmitted to the original port, then a fault transfer is triggered:

[0054] S f →O repair Among them, S f is the fault signal, and O repair is the signal of the maintenance port;

[0055] Using the dynamic port switching algorithm:

[0056] O repair = O repai r + S f

[0057] Through the maintenance port, other signals are normally output, avoiding the impact of a single fault on the overall system.

[0058] As a preferred solution of the multi-port output operating system of the belt conveyor protection device in the coal preparation plant described in the present invention, wherein: using the machine learning algorithm to predict the signal abnormality of the belt conveyor protection device to improve the maintenance efficiency, including:

[0059] Collect the historical data of each protection device, establish an LSTM detection model, and calculate the signal abnormality probability:

[0060]

[0061] If P error > δ, then an early warning of the protection device abnormality is given to reduce the shutdown risk.

[0062] The beneficial effects of the present invention are as follows: By adopting the method of dynamically adjusting the shutdown threshold and combining the design of the fuzzy membership function, the present invention can adaptively adjust the trigger conditions for shutdown according to the actual working conditions. In this way, when the system faces environmental fluctuations or minor equipment abnormalities, it will not shut down frequently due to false alarms, effectively reducing the shutdown events caused by misjudgment. By optimizing the output port design, multiple output ports and maintenance ports are added to ensure that protection signals with different priorities can be output independently, and even if some protection devices fail, it will not affect the normal output of other protection signals. This design not only reduces the risk of signal interference between devices but also ensures the flexibility and rapid response during fault handling, effectively improving the stability and security of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0064] Figure 1 FIG. is a schematic structural diagram of a multi-port output operating system for a belt conveyor protection device in a coal preparation plant provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0065] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention will be described in detail below with reference to the drawings in the specification.

[0066] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0067] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation of the present invention. The "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments.

[0068] Embodiment

[0069] The following refers to Figure 1 , which is an embodiment of the present invention.

[0070] S1: The multi-port signal output management module is used to perform signal hierarchical output based on the protection device, optimize the blocking logic, set 3 output ports and 1 maintenance port, and ensure the hierarchical processing of protection signals with different priorities.

[0071] Preferably, the protection device includes slip protection, deviation protection, coal accumulation protection, tearing protection, emergency stop protection along the line, temperature protection, smoke protection, over-temperature sprinkler protection, and tension protection.

[0072] S2: The priority division module is used to divide the 9 protection device signals S i into priorities using the priority matrix P, and then allocate the multi-port signals.

[0073] Preferably, the priority matrix P is as follows:

[0074]

[0075] Among them, the first row is the high-priority port 1, which is used for coal accumulation, tearing, and emergency stop along the line for key protection; the second row is the medium-priority port 2, which is used for slip, tension, and smoke detection; the third row is the low-priority port 3, which is used for deviation, temperature, and over-temperature sprinkler. The maintenance port is used to transfer the signal to the maintenance port if a certain protection device fails, without affecting the output of other signals.

[0076] Preferably, the multi-port signal allocation formula is as follows:

[0077]

[0078] Among them, O j is the output signal value of port j.

[0079] Furthermore, each port is connected to a specific protection device, and the signal is output from the device according to its priority and transmitted to the centralized control system for monitoring. The system design ensures that high-priority signals (such as emergency stop, belt breakage, deviation, etc.) have the shortest response time to ensure immediate emergency shutdown when serious faults occur in the equipment.

[0080] Signal transmission path:

[0081] Port 1 (high-priority signal): Used for coal accumulation, tearing, and emergency stop along the line for key protection. The signal undergoes multiple redundancy checks to ensure that in case of serious problems in the equipment, it can immediately trigger the emergency shutdown of the centralized control system.

[0082] Port 2 (medium-priority signal): Used for slip, tension, and smoke detection to prevent the equipment from malfunctioning due to abnormal environment (such as too high temperature or smoke leakage). When such a signal is triggered, the system can delay the execution of shutdown to ensure that the equipment has sufficient reaction time in non-emergency situations such as over-temperature.

[0083] Port 3 (low-priority signals): Used for deviation, temperature, and over-temperature sprinkling. The output priority of these signals is the lowest. During equipment operation, an alarm will only be triggered when vibration or speed problems are relatively serious, avoiding false triggering of shutdown due to minor equipment abnormalities.

[0084] In the system, signal processing needs to be carried out strictly in accordance with the rules of the priority matrix to ensure that high-priority signals can take effect immediately when major faults occur in the equipment, avoiding false shutdowns caused by low-priority signals.

[0085] High-priority signal processing (Port 1):

[0086] When the key protection signals of coal accumulation, tearing, and emergency stop along the line are triggered, the system will directly feedback the signals to the centralized control system and perform an emergency shutdown operation through the centralized control locking mechanism.

[0087] For example: If the sensor detects belt deviation and the deviation angle exceeds the set threshold, the system will immediately output a signal through Port 1 to trigger an emergency shutdown to prevent further damage to the equipment.

[0088] Medium-priority signal processing (Port 2):

[0089] When used for slippage, tension, and smoke triggering, the system delays the shutdown operation according to the working conditions and gives priority to alarm prompts for manual intervention. The system will automatically adjust the response time according to the set temperature threshold or smoke concentration to avoid unnecessary shutdowns.

[0090] For example: Suppose a signal is triggered when the temperature exceeds 75°C. The system will output a signal to Port 2 of the centralized control to remind the operator to check the equipment and perform a shutdown if necessary.

[0091] Low-priority signal processing (Port 3):

[0092] Deviation, temperature, and over-temperature sprinkling usually do not directly cause shutdowns but are used for routine status monitoring of the equipment. If the system detects that the vibration amplitude of the equipment exceeds the set range, the signal will be output through Port 3. The centralized control system will record the abnormality but will not shut down immediately. At this time, further monitoring can be carried out to confirm whether maintenance is required.

[0093] For example: When the equipment occasionally has slight vibration during operation, after the signal is output through Port 3, the system only triggers an alarm to prompt inspection of the equipment but does not perform a forced shutdown.

[0094] Faulty equipment access:

[0095] When a protection device fails, relevant signals will be output through the maintenance port to prevent affecting the output of other normal signals. By temporarily connecting to the maintenance port, the system can continue to output other protection signals to ensure the normal operation of the overall safety protection.

[0096] For example: If the temperature sensor of a certain device fails (which may cause the over-temperature signal not to be output), this signal will be automatically transferred to the maintenance port without affecting the normal transmission of other signals. At this time, the centralized control system will receive the fault information from the maintenance port and perform necessary processing.

[0097] Furthermore, assume that the input signal strength S of port 1 1 = 1, indicating that the device has a serious fault; the input signal strength S of port 2 2 = 0.8, indicating that the device temperature is slightly high but has not reached the standard for emergency shutdown; the input signal strength S of port 3 3 = 0.5, indicating that the device vibration is slightly abnormal but within the normal range; the signal input of the maintenance port S 4 = 0, indicating that there is no device fault signal at this time;

[0098] According to the formula Oj = α j ·S j , calculate the output signal value of each port.

[0099] Port 1 (coal accumulation, tearing, and emergency stop along the line):

[0100] O 1 = 1·1 = 1. Since the weight coefficient of port 1 is 1 and the input signal strength is 1, indicating this is a serious fault, the system should immediately respond and trigger an emergency shutdown.

[0101] Port 2 (slipping, tension, and smoke detection):

[0102] O 2 = 0.7·0.8 = 0.56. The weight coefficient of port 2 is 0.7, and the temperature signal strength is 0.8. The system will process this signal with a delay and determine whether to alarm or shut down according to the preset conditions.

[0103] Port 3 (deviation, temperature, and over-temperature sprinkler):

[0104] O 3 = 0.3·0.5 = 0.15. The signal of port 3 is weak, and the vibration monitoring is within the normal range. The system will only trigger an alarm and will not perform a shutdown operation.

[0105] Maintenance port:

[0106] O 4= 0·0 = 0, the maintenance port does not output a signal, indicating that there is no equipment failure at present;

[0107] According to the calculated signal value O j , the centralized control system will decide whether to trigger a shutdown operation based on the priority matrix and the preset logic rules.

[0108] High-priority signal (port 1):

[0109] The output signal O of port 1 1 = 1, indicating that a serious failure has occurred. The system will immediately perform an emergency shutdown operation according to this signal to ensure the safety of the equipment;

[0110] Medium-priority signal (port 2):

[0111] The output signal O of port 2 2 = 0.56, indicating that the equipment is overheated, but the signal strength has not reached the shutdown standard. The system may prompt manual intervention through an alarm and decide whether to shut down according to the actual working conditions. At this time, a delay threshold can be set, such as when O 2 is higher than 0.5, an alarm is triggered, and when it exceeds 0.8, a shutdown is triggered;

[0112] Low-priority signal (port 3):

[0113] The output signal O of port 3 3 = 0.15, which is a low-priority signal and usually does not trigger a shutdown. The system will only issue a warning according to this signal for the operator to monitor the equipment status and avoid more serious abnormalities;

[0114] Maintenance port:

[0115] There is no signal output from the maintenance port, indicating that there is no faulty equipment to be processed by the system at this time.

[0116] S3: Intelligent signal scheduling module, used to adjust port signals through dynamic weight adjustment and use signal strength calculation to adjust dynamic port output.

[0117] Preferably, let the port signal weight be W j , define the signal strength I i and the total port signal:

[0118] I i = f(S i , τ)

[0119] where τ is the time window, used to dynamically adjust the signal strength.

[0120] Preferably, the signal strength calculation formula:

[0121] I i = f(Si , t) = αS i +β∫ 0 t S i dt

[0122] Among them, α controls the influence of the current signal, and β controls the influence of the cumulative signal;

[0123] Dynamic port output adjustment:

[0124]

[0125] If the false alarm rate of a certain port is high, its weight will be automatically reduced to reduce false triggering.

[0126] Furthermore, Step 1: Signal calculation

[0127] Port 1 (coal heap, tearing, and emergency stop along the line):

[0128] Assume the signal strength S of this protection device 1 = 1, the time window τ = 10 seconds, and the current time is t = 5 seconds,

[0129] According to the formula, the signal strength of Port 1 is:

[0130] I 1 (5) = 1·exp(-0.5) ≈ 0.6065,

[0131] The output signal O of Port 1 1 is also equal to 0.6065;

[0132] Port 2 (slipping, tension, and smoke detection):

[0133] Assume the signal strength S 2 = 0.8, the time window τ = 30 seconds, and the current time is t = 15 seconds,

[0134] According to the formula, the signal strength of Port 2 is:

[0135] I 2 (15) ≈ 0.7·0.8·0.6065 ≈ 0.3397;

[0136] Port 3 (deviation, temperature, and over-temperature sprinkler):

[0137] Assume the signal strength S 3 = 0.3, the time window τ = 60 seconds, and the current time is t = 30 seconds,

[0138] According to the formula, the signal strength of Port 3 is:

[0139] I 3(30)≈0.5·0.3·0.6065≈0.09098,

[0140] Maintenance port:

[0141] There is no signal input at the maintenance port currently, so S 4 = 0.

[0142] Step 2: Total signal calculation

[0143] Calculate the total signal value of each port according to the formula: The total signal O of port 1 1 = 0.6065, the total signal O of port 2 2 = 0.3397, the total signal O of port 3 3 = 0.09098;

[0144] Step 3: System response

[0145] Port 1 (coal piling, tearing, and emergency stop along the line): Since the total signal O of port 1 1 is relatively high, and this port is a high-priority port, the system will immediately trigger an emergency shutdown operation;

[0146] Port 2 (slipping, tension, and smoke detection): The signal O of port 2 2 is relatively low, but considering the potential danger of overheating and smoke problems, the system will trigger a warning and monitor the temperature change of the equipment. If the signal remains high continuously, a shutdown may be triggered with a time delay;

[0147] Port 3 (deviation, temperature, and over-temperature sprinkling): The signal of port 3 is low, indicating that the abnormal degree of vibration or speed of the equipment is relatively light. The system will only issue a warning and will not trigger a shutdown;

[0148] Maintenance port: If there is a device failure, the signal will be transferred to the maintenance port to prevent affecting the signal output of other ports.

[0149] Step 4: Dynamic adjustment of signals and control

[0150] The time window τ and the signal attenuation mechanism enable the signal intensity I j (t) to be dynamically adjusted. As time goes by, the signal will gradually attenuate, which helps the system determine whether to delay the response or change the state of the protection device. For example, after the signal of port 2 (over-temperature detection) attenuates, if the signal intensity continues to maintain at a low level, false alarms or false shutdowns can be avoided.

[0151] S4: Fuzzy logic latching control module, used to dynamically adjust the latching logic based on fuzzy inference control and set rules for control.

[0152] Preferably, based on the environmental factor T:

[0153] B = F(O 1 , O 2 , O 3 , T)

[0154] Setting rules:

[0155] If O 1 > θ 1 , it is in a high-risk state, stop the machine immediately and issue an alarm;

[0156] If O 2 > θ 2 , it is in a medium-risk state, issue an alarm and stop the machine after manual confirmation;

[0157] If O 3 > θ 3 , it is in a low-risk state, issue an alarm, record the log after manual confirmation, and continue to observe later;

[0158] If T has a great influence, increase the locking threshold to reduce false alarms.

[0159] Preferably, assume that a standard triangular membership function is used to describe the strength of the protection signal:

[0160]

[0161] Among them, x is the input signal strength, a, b, c are the boundaries of the fuzzy set, a is the starting value with a membership degree of 0, representing the threshold when the signal is at the lowest strength, b is the center point with a membership degree of 1, representing the condition when the signal strength reaches the maximum, and c is the ending value with a membership degree of 0, representing the threshold when the signal is at the highest strength;

[0162] If the ambient temperature T of the system is relatively high, adjust the threshold parameters of the high-priority protection signal O 1 to make the trigger point of the stop signal advance:

[0163] a new = a - Δa, b new = b - Δb, c new = c - Δc

[0164] Among them, Δa, Δb, Δc are the threshold change amounts adjusted according to environmental factors such as the current temperature or load;

[0165] Assume that there is a linear relationship between the temperature T and the protection signal O 1 , we can adjust the parameters of the membership function in real time according to the temperature:

[0166]

[0167] Among them, μO1 (x, T) represents the fuzzy membership degree of the high-priority signal O 1 under the environmental temperature T, where T 0 is the reference temperature and α is the adjustment coefficient of the temperature on the sensitivity of the protection signal;

[0168] When the environmental temperature rises, α(T - T 0 ) increases, resulting in an enhanced sensitivity of the high-priority signal, thereby narrowing the threshold range for triggering shutdown and giving an early warning of equipment failure.

[0169] Furthermore, assume that the reference temperature T 0 = 25 °C, and the environmental temperature T increases to 35 °C. In this case, we hope to trigger a fault alarm for the high-priority protection signal O 1 in advance to ensure that the equipment does not fail due to overheating. Assume that we set the following parameters:

[0170] Δa = 0.1, Δb = 0.2, Δc = 0.1, α = 0.05;

[0171] First, we calculate the adjusted thresholds at an environmental temperature of 35 °C:

[0172] a(35) = a + Δa·α(35 - 25) = a + 0.1·0.05·10 = a + 0.5;

[0173] b(35) = b + Δb·α(35 - 25) = b + 0.2·0.05·10 = b + 1.0;

[0174] c(35) = c + Δc·α(35 - 25) = c + 0.1·0.05·10 = c + 0.5;

[0175] Assume that the original thresholds are a = 5.0, b = 10.0, c == 15.0, then:

[0176] a(35) = 5.0 + 0.5 = 5.5; b(35) = 10.0 + 1.0 = 11.0; c(35) = 15.0 + 0.5 = 15.5. Therefore, in a high-temperature environment of 35 °C, the adjusted threshold parameters are a(35) = 5.5, b(35) = 11.0, c(35) = 15.5;

[0177] When the environmental temperature rises, the triggering range of the protection signal will narrow. Assume that the input value x of a certain protection signal is 7.0. Then, at 25 °C, the standard triangular membership function will have the following fuzzy membership degree:

[0178] μ(7.0) = 0.4

[0179] However, at 35°C, due to the adjusted parameters a(35) = 5.5, b(35) = 11.0, c(35) = 15.5, the membership degree of the signal will become:

[0180] μ(7.0, 35) = 11.0 - 5.57.0 - 5.5 = 0.25

[0181] This indicates an increase in the sensitivity of the signal, and the protection system will respond at a lower signal strength, triggering a fault alarm in advance.

[0182] S5: Adaptive fault transfer module, used for redundant signal transfer to ensure the normal operation of the system when some protection devices fail.

[0183] Preferably, assume that a certain protection device fails and its signal cannot be transmitted to the original port, then fault transfer is triggered:

[0184] S f →O repair

[0185] Among them, S f is the fault signal, and O repair is the signal of the maintenance port;

[0186] Using the dynamic port switching algorithm:

[0187] O repair = O repair + S f

[0188] Through the maintenance port, other signals are normally output, avoiding the impact of a single fault on the overall system.

[0189] Furthermore, assume that the temperature protection device O 2 cannot output a signal due to a hardware fault. The system will immediately detect the failure of this signal and then transfer the signal to the maintenance port O repair . At this time:

[0190] Other port signals (such as the emergency stop signal O 1 and the vibration monitoring signal O 3 ) still continue to be output through the original port. The maintenance port O repair will receive the signal of O 2 for subsequent processing or manual repair. Through this fault transfer mechanism, the entire system maintains efficient operation, minimizing downtime and false downtime caused by a single fault.

[0191] S6: Intelligent prediction and analysis module, used to predict signal anomalies of the belt conveyor protection device using machine learning algorithms to improve maintenance efficiency.

[0192] Preferably, historical data of each protection device is collected to establish an LSTM detection model, and the signal anomaly probability is calculated:

[0193]

[0194] If P error > δ, an early warning of the abnormal protection device is triggered to reduce the risk of shutdown.

[0195] Furthermore, assume that at a certain time point, the signal O 2 data of the temperature protection device is input into the trained LSTM model, and the abnormal probability P error output by the model is 0.85. This value is greater than the set threshold δ = 0.8. Therefore, the system triggers an early warning and adjusts the operating state of the device in advance, avoiding equipment failure and shutdown caused by overheating.

[0196] The specific steps are as follows:

[0197] The system inputs the temperature protection signal and other relevant signals (such as vibration, current, etc.) into the LSTM model. The LSTM model calculates the abnormal probability P error of the protection signal at the current moment as 0.85. Since P error > δ = 0.8, the system triggers the early warning mechanism. According to the early warning result, the system executes measures such as decelerating, adjusting the load, and starting the standby protection device to avoid the risk of shutdown.

[0198] In the description of the present invention, it should be noted that the terms "first", "second", and "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0199] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0200] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces, and the indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other forms.

[0201] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0202] In addition, in each embodiment of the present invention, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0203] Finally, it should be noted that the above-described embodiments are only specific implementation manners of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that any person skilled in the art within the technical scope disclosed by the present invention can still modify the technical solutions recorded in the foregoing embodiments, or can easily think of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

[0204] In addition, although the operations of the method of the present invention are described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all of the shown operations must be performed to achieve the desired result. Additionally or alternatively, some steps can be omitted, multiple steps can be combined into one step for execution, and / or one step can be decomposed into multiple steps for execution.

Claims

1. A multi-port output operating system for a belt conveyor protection device in a coal preparation plant, characterized in that: include: Multi-port signal output management module, used for hierarchical signal output based on protection devices, optimizing blocking logic, setting 3 output ports and 1 maintenance port, ensuring hierarchical processing of protection signals of different priorities; The priority division module is used to use the priority matrix P to classify the 9 protection device signals S i Divide by priority and then distribute the multi-port signals; Intelligent signal scheduling module, used to adjust port signals through dynamic weights and adjust dynamic port outputs using signal strength calculations; A fuzzy logic locking control module is used to dynamically adjust the locking logic based on the use of fuzzy inference control and set rules for control; Adaptive fault transfer module, used for redundant signal transfer, to ensure normal operation of the system when some protection devices fail; The intelligent predictive analysis module is used to predict signal anomalies of belt conveyor protection devices using machine learning algorithms to improve maintenance efficiency.

2. The multi-port output operating system of the belt conveyor protection device of the coal preparation plant according to claim 1, characterized in that: The protection devices include slip protection, deviation protection, coal pile protection, tearing protection, emergency stop protection along the line, temperature protection, smoke protection, over-temperature watering protection and tension protection.

3. The multi-port output operating system of the belt conveyor protection device of the coal preparation plant according to claim 1, characterized in that: The priority matrix P is used to classify the 9 protection device signals S i By priority, they include: The priority matrix P is shown below: Among them, the first row is the high-priority port 1, which is used for key protection of coal stacking, tearing and emergency stop along the line; the second row is the medium-priority port 2, which is used for slip, tension and smoke detection; the third row is the low-priority port 3, which is used for deviation, temperature and over-temperature sprinkling. The maintenance port is used to transfer the signal to the maintenance port if a certain protection device fails, which will not affect other signal outputs.

4. The multi-port output operating system of the belt conveyor protection device of the coal preparation plant according to claim 1, characterized in that: The multi-port signal is then distributed, including: The multi-port signal allocation formula is as follows: Among them, O j is the output signal value of port j.

5. The multi-port output operating system of the belt conveyor protection device of the coal preparation plant according to claim 1, characterized in that: The step of adjusting the port signal by dynamic weight includes: Assume the port signal weight is W j , define the signal strength I i And the total signal of the port: I i =f(S i ,t) Among them, τ is the time window, which is used to dynamically adjust the signal strength.

6. The multi-port output operating system of the belt conveyor protection device of a coal preparation plant according to claim 1, characterized in that: The method uses signal strength calculation to adjust dynamic port output, including: Signal strength calculation formula: Among them, α controls the influence of the current signal, and β controls the influence of the cumulative signal; Dynamic port output adjustment: If the false alarm rate of a port is high, its weight will be automatically reduced to reduce false triggering.

7. The multi-port output operating system of the belt conveyor protection device of a coal preparation plant according to claim 1, characterized in that: The method of dynamically adjusting the locking logic based on fuzzy inference control and setting rules for control includes: Based on environmental factors T: B=F(O1,O2,O3,T) Setting rules: If O1>θ1, it is a high-risk state, and the machine will be shut down immediately and an alarm will be issued; If O2>θ2, it is a medium-risk state, and an alarm is issued and the machine is shut down for processing after manual confirmation; If O3>θ3, it is a low-risk state, an alarm is issued, a log is recorded after manual confirmation, and further observation is continued; If T has a large impact, increase the lockout threshold to reduce false alarms.

8. The multi-port output operating system for the protection device of the coal preparation plant belt conveyor according to claim 1, characterized in that: The method of dynamically adjusting the locking logic based on fuzzy inference control and setting rules for control also includes: Assume that a standard triangular membership function is used to describe the strength of the protection signal: Where x is the input signal strength, a, b, and c are the boundaries of the fuzzy set, a is the starting value with a membership of 0, indicating the threshold when the signal is at its lowest strength, b is the center point with a membership of 1, indicating the condition when the signal strength reaches its maximum, and c is the end value with a membership of 0, indicating the threshold when the signal is at its highest strength. If the ambient temperature T of the system is high, the threshold parameter of the high priority protection signal O1 of the membership function is adjusted to advance the trigger point of the shutdown signal: a new =a-Δa,b new =b-Δb,c new =c-Δc Among them, Δa, Δb, Δc are the threshold changes adjusted according to environmental factors such as current temperature or load; Assuming that there is a linear relationship between temperature T and protection signal O1, we can adjust the parameters of the membership function in real time according to the temperature: Among them, μO1(x,T) represents the fuzzy membership of the high priority signal O1 at the ambient temperature T, T0 is the reference temperature, and α is the adjustment coefficient of temperature on the sensitivity of the protection signal; When the ambient temperature rises, α(T-T0) increases, resulting in an increase in the sensitivity of high-priority signals, thereby narrowing the threshold range for shutdown triggering and providing early warning of equipment failure.

9. The multi-port output operating system of the belt conveyor protection device of a coal preparation plant according to claim 1, characterized in that: The redundant signal transfer ensures the normal operation of the system when some protection devices fail, including: If a protection device fails and its signal cannot be transmitted to the original port, the failover is triggered: S f →O repair Among them, S f is a fault signal, O repair For maintenance port signal; Using the dynamic port switching algorithm: THE repair =The repair +S f Through the maintenance port, other signals are output normally to prevent a single fault from affecting the overall system.

10. The multi-port output operating system of the belt conveyor protection device of a coal preparation plant according to claim 1, characterized in that: The method of using a machine learning algorithm to predict signal anomalies of a belt conveyor protection device and improve maintenance efficiency includes: Collect historical data of each protection device, establish an LSTM detection model, and calculate the probability of signal anomaly: If P error >δ, an early warning of protection device abnormality is issued to reduce the risk of downtime.

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