Tunnel ventilator health degree evaluation method and system thereof

Abstract

This invention discloses a method and system for assessing the health status of tunnel ventilation fans. The method includes: S1: setting the health status level of the ventilation fan; S2: statistically analyzing the average and peak values ​​of the fan's characteristic parameters at different operating frequencies over multiple cycles; S3: setting the allowable value Φmax of the overlap of the current envelope between the three phases, and setting the sampling time interval T. m When Φ≧Φmax, a burnout alarm is triggered; when Φ<Φmax, execute S4; S4: Calculate the single-parameter health status h of the fan. x S5: Set the weight of the characteristic parameter x and calculate the multi-parameter health degree h of the fan; S6: Define the health status of the fan based on the health degree h calculated in S5 and the fan health status level set in S1. This invention can promptly alert management personnel to handle abnormalities, greatly reducing the possibility of fan burnout, and is suitable for further promotion and application.

Description

Technical Field

[0001] This invention relates to the field of tunnel ventilation technology, and in particular to a method and system for assessing the health of tunnel ventilation fans. Background Technology

[0002] Tunnels, as a quick way to traverse mountains, have become a major component of urban highways. With the rapid development of the national economy, the number and length of underground tunnels in my country are constantly increasing. While these tunnels solve traffic problems, they also pose many hidden dangers: During operation, vehicles often consume large amounts of oxygen and emit large amounts of exhaust gases such as CO2, CO, and nitrogen oxides. As a relatively sealed space, a tunnel cannot effectively expel these gases in a timely manner, which can have adverse effects on human health. Furthermore, vehicle exhaust often contains solid particles; when the concentration of these particles in the tunnel is high, visibility will decrease, affecting driver safety. Additionally, relying solely on natural ventilation for oxygen replenishment and exhaust gas treatment is often insufficient. Moreover, the long and narrow nature of tunnels means that in the event of a fire, the large amount of smoke generated threatens escape routes, hinders firefighting efforts, and impedes rescue personnel and the aid of the injured. Therefore, designing ventilation fans within tunnels is crucial. The ventilation system primarily functions to ventilate and exchange air within the tunnel, controlling air quality and temperature to ensure safe traffic operation. Therefore, high requirements are placed on the safety of ventilation fans, and the working condition of the fans must be guaranteed.

[0003] In existing technical solutions, the focus regarding tunnel safety ventilation is on the following aspects:

[0004] 1) A safety monitoring system is installed inside the tunnel to detect the overall condition inside the tunnel and ensure the safe operation of the tunnel.

[0005] For example, patent application number CN202210033733.X proposes a smart city tunnel safety monitoring system; patent application number 202011369455.2 proposes a visualized subway tunnel safety comprehensive monitoring and intelligent emergency system.

[0006] 2) Control of safe and energy-saving ventilation systems.

[0007] For example, patent application number CN202010196482.8 proposes a control method for a safe and energy-saving ventilation system in a highway tunnel, which adjusts and controls the fan. Patent application number CN202210717741.6 proposes a control method for a tunnel fire extinguishing system and smoke exhaust system, relating to a control system for tunnel fire extinguishing and smoke exhaust. Patent application number CN202110747356.1 proposes a pressurized air supply system for a safe evacuation passage.

[0008] 3) Tunnel safety early warning and monitoring.

[0009] For example, patent application number CN202220742244.7 proposes a highway tunnel safety early warning system. Patent application number CN202123035209.6 proposes a tunnel safety detection device for dust content in buildings.

[0010] These studies enable rapid, accurate location and effective diagnosis of various tunnel hazards, allowing dispatching and other relevant personnel to respond promptly and ensuring tunnel operational safety. However, all of these studies rely on the premise that the tunnel ventilation system is in good condition, meaning the ventilation fans (smoke exhaust fans) are functioning normally and can be adjusted. They involve regulating, monitoring, and issuing early warnings for the ventilation system. In the event of a hazard in the safety monitoring system, they provide passive services such as issuing alarms and providing location information. Therefore, how to conduct targeted health assessments and early warnings for ventilation fans (smoke exhaust fans) to proactively remind and arrange for their maintenance and replacement becomes an urgent engineering problem that needs to be solved.

[0011] Engineering surveys revealed that most tunnel ventilation fan problems stemmed from motor burnout, primarily caused by three factors: fan bearing vibration, motor phase loss, and fan seizure, all leading to motor overheating. Bearing vibration included vibrations caused by impeller dust imbalance and loose mounting bolts. Motor phase loss included: phase loss during startup, where the motor failed to start and its winding current reached 5-7 times the rated current, generating 15-50 times the normal temperature rise, rapidly exceeding the allowable temperature rise and causing motor burnout; phase loss under full load, where the motor was in an overcurrent state (current exceeding the rated current), causing it to transition from fatigue to stall, with the line current of the remaining phase increasing even more, leading to rapid motor burnout; and phase loss during light load operation, where the winding current of the remaining phase increased rapidly, causing that phase to burn out due to excessive temperature rise. Fan seizure was caused by poor-quality lubricating oil or lack of lubrication, leading to a rapid increase in dry friction temperature, causing the ball bearings to expand beyond the bearing clearance and seize. Furthermore, these system failures are characterized by their frequency, recurrence, and complexity. This invention proposes a method and system for assessing the health of tunnel ventilation fans, utilizing necessary hardware and scientific calculation methods to proactively remind users to maintain and replace these fans (smoke exhaust fans). Summary of the Invention

[0012] To address the aforementioned technical problems, this invention provides a method and system for assessing the health of tunnel ventilation fans. By collecting necessary operating parameters, conducting scientific analysis and evaluation, and combining existing maintenance information, the method provides a health assessment and offers warnings and suggestions for related faults.

[0013] To achieve the above-mentioned technical objectives, the technical solution adopted by this invention is as follows:

[0014] A method for assessing the health of tunnel ventilation fans includes:

[0015] S1: Set the health status level of the ventilation fan;

[0016] S2: The average and peak values ​​of the fan characteristic parameters under different operating frequencies within multiple cycles are statistically analyzed;

[0017] S3: Set the allowable value Φmax for the overlap of the current envelope between the three phases, and set the sampling time interval T. m When Φ≧Φmax, a burnout alarm is triggered; when Φ<Φmax, S4 is executed.

[0018] S4: Calculate the health status h of a single wind turbine parameter. x ;

[0019]

[0020] Among them, f x，tf is the measured value of a single characteristic parameter x of the wind turbine at time t. p and f max The average and peak values ​​of the single characteristic parameter x based on the wind turbine;

[0021] S5: Set the weight of the feature parameter x and calculate the multi-parameter health status h of the wind turbine;

[0022]

[0023] Where m is the number of characteristic parameters; ρ x The weights of the feature parameter x, 0 ≤ ρ x ≤1, and

[0024]

[0025] S6: Define the health status of the ventilator based on the health level h calculated in S5 and the ventilator health status level set in S1.

[0026] Furthermore, it also includes: displaying the calculation results of the fan's multi-parameter health status h and the fan's single-parameter health status hx, as well as the health status of the fan, in the form of charts and graphs, and combining existing maintenance information to show handling suggestions for potential hazards caused by single parameters.

[0027] Furthermore, S1 specifically refers to:

[0028] Considering the time-sensitive nature of equipment operation, the reference health level h is divided into five levels:

[0029] Shutdown (h≧0.85), Scheduled for maintenance (0.65≦h<0.85), Unhealthy (0.35≦h<0.65), Sub-healthy (0.20≦h<0.35), Healthy (0≦h<0.20).

[0030] Furthermore, S2 specifically refers to:

[0031] The current I, voltage U, motor speed V, sound level S, motor bearing temperature T, and outlet wind speed W of the fan at different operating frequencies over multiple periods were used as training samples. The average current Ip, average voltage Up, average motor speed Vp, average sound level Sp, average motor bearing temperature Tp, and average outlet wind speed Wp at frequency i were calculated. The peak current Imax, peak voltage Umax, peak motor speed Vmax, peak sound level Smax, peak motor bearing temperature Tmax, and peak outlet wind speed Wmax at frequency i were also statistically analyzed.

[0032] Furthermore, the expression for Φ described in S3 is as follows:

[0033]

[0034] Where j and k represent different phase groups, and ω represents the phase angle;

[0035] i represents different operating frequencies.

[0036] Furthermore, the burn alarm in S3 is specifically as follows:

[0037] It triggers a power outage alarm and shuts down the circuits of the relevant fans.

[0038] Furthermore, in S5, ρ x The probability of wind turbine failure and repair is determined based on statistical analysis.

[0039] The present invention also provides a tunnel ventilation fan health assessment system, comprising:

[0040] A motor speed sensor is installed on the rotating shaft of the motor to acquire the motor's speed data;

[0041] The sound level sensor is installed at the front, back, left, right and above the center of the motor to obtain decibel data when the motor is running.

[0042] A temperature sensor, which is mounted on the motor bearing, is used to acquire temperature data of the motor bearing;

[0043] A wind speed sensor is installed at the air outlet of the fan to acquire wind speed data at the outlet.

[0044] A current sensor is installed on the main input line of the fan's control cabinet to acquire the fan's current data.

[0045] A voltage sensor is installed on the main input line of the fan's control cabinet to acquire the fan's voltage data.

[0046] An alarm unit includes an alarm bell and an alarm module. The alarm bell is installed on the outer surface of the ventilator and is used to issue an alarm. The alarm module is used to display the location of the fault. Both the alarm bell and the alarm module are electrically connected to an information processing unit.

[0047] The information processing unit is loaded with the aforementioned tunnel ventilation fan health assessment method, which is used to store and analyze the data acquired by the aforementioned sensors and control the alarm unit and ventilation fan to perform corresponding operations under preset conditions.

[0048] The display unit, which is electrically connected to the information processing unit, is used to display the relevant data results calculated and analyzed by the information processing unit, as well as the handling suggestions for potential risks caused by single parameters.

[0049] The aforementioned sensors are connected to the information processing unit via 4G / 5G interfaces or local area networks.

[0050] Furthermore, the relevant data results calculated and analyzed by the information processing unit include: the calculation results of the fan's multi-parameter health status h, the fan's single-parameter health status hx, and the health status of the ventilation fan.

[0051] Preferably, the relevant data results calculated and analyzed by the information processing unit are displayed in the form of charts in the display unit.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] Based on the operating characteristics of tunnel ventilation fans and considering the potential safety hazards caused by frequent frequency conversion operation of the fan system, this invention proposes a method and system for assessing the health of tunnel ventilation fans, which has the following advantages:

[0054] 1) This invention greatly reduces the possibility of fan burnout by setting a burnout alarm, an alarm bell, and an alarm module that can display the location of the fault in the control center, so as to promptly prompt management personnel to handle abnormalities.

[0055] 2) Based on the analysis of the health status of a single parameter of a wind turbine, this invention can easily and quickly identify potential safety hazards and achieve the purpose of early warning.

[0056] 3) This invention uses charts to intuitively display the health status h of multiple parameters of the fan, enabling proactive maintenance and replacement of the ventilation fan (smoke exhaust fan), while greatly reducing the testing time for fan inspection.

[0057] 4) The system of this invention is simple to set up, can realize online detection, and has great engineering value. Attached Figure Description

[0058] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0059] Figure 1 This is a simplified flowchart of the tunnel ventilation fan health assessment method in this invention;

[0060] Figure 2 This is a schematic diagram of the tunnel ventilation fan health assessment system of the present invention. Detailed Implementation

[0061] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] See attached document Figure 1 As shown, in a certain tunnel, the ventilation fan is an SDF(B)-NO9.6 type multi-stage variable speed fan. This solution provides a health assessment method for tunnel ventilation fans, applied to this fan. By collecting necessary operating parameters, analyzing and evaluating them, and combining them with existing maintenance information, a health assessment is given. This method can provide early warnings and suggestions for safety hazards caused by phase loss, fan bearing malfunctions, and improper fan impeller installation. The steps include the following:

[0063] S1: Set the health status level of the ventilation fan. Specifically: considering the time-related operation of the equipment, the reference health level h is divided into five levels:

[0064] Shutdown (h≧0.85), Scheduled for maintenance (0.65≦h<0.85), Unhealthy (0.35≦h<0.65), Sub-healthy (0.20≦h<0.35), Healthy (0≦h<0.20).

[0065] S2: The average and peak values ​​of the fan characteristic parameters under different operating frequencies within multiple cycles are statistically analyzed; specifically:

[0066] The current I, voltage U, motor speed V, sound level S, motor bearing temperature T, and outlet air velocity W of the fan were statistically analyzed over multiple periods at different operating frequencies as training samples. The average current Ip, average voltage Up, average motor speed Vp, average sound level Sp, average motor bearing temperature Tp, and average outlet air velocity Wp at frequency i were calculated. The peak current Imax, peak voltage Umax, peak motor speed Vmax, peak sound level Smax, peak motor bearing temperature Tmax, and peak outlet air velocity Wmax at frequency i were also statistically analyzed. The relevant characteristic parameters of the ventilation fan are shown in Table 1 below.

[0067] Table 1

[0068]

[0069] S3: Set the allowable value Φmax for the overlap of the current envelope between the three phases, and set the sampling time interval T. m The expression for Φ is as follows:

[0070]

[0071] Where j and k represent different phase groups, and ω represents the phase angle;

[0072] i represents different operating frequencies; when Φ≧Φmax, a burnout alarm is triggered, i.e., a power outage and shutdown alarm is triggered, and the circuit of the relevant fan is shut down in conjunction with the alarm; when Φ<Φmax, S4 is executed; for 50Hz power frequency operation, the allowable value of the overlap of the current envelope between the three phases Φmax=10A, and at the measurement time, the overlap of the current envelope between the three phases Φ=3A, and there is no alarm in this example.

[0073] S4: Calculate the health status h of a single wind turbine parameter. x ;

[0074]

[0075] Among them, f x，t f is the measured value of a single characteristic parameter x of the wind turbine at time t. p and f max This represents the average and peak values ​​of a single characteristic parameter x of the wind turbine. The health status h of each single parameter of the wind turbine is also considered. x The details are shown in Table 2 below:

[0076] Table 2

[0077]

[0078]

[0079] S5: Set the weight of the feature parameter x and calculate the multi-parameter health status h of the wind turbine;

[0080]

[0081] Where m is the number of characteristic parameters; ρ x The weights of the feature parameter x, 0 ≤ ρ x ≤1, and

[0082]

[0083] Where, ρ x The probability of wind turbine failure and repair is determined based on statistical analysis.

[0084] S6: Define the health status of the ventilator based on the health level h calculated in S5 and the ventilator health status level set in S1.

[0085] S7: Display the calculated results of the fan's multi-parameter health status h and single-parameter health status hx, along with the fan's health status, in chart form. Combined with existing maintenance information, provide suggestions for addressing potential risks posed by single parameters, offering technical guidance and assistance to management personnel. See Table 3 below for details:

[0086] Table 3

[0087]

[0088] See attached document Figure 2 As shown, this solution provides a tunnel ventilation fan health assessment system, which includes:

[0089] A motor speed sensor is installed on the rotating shaft of the motor to acquire the motor's speed data;

[0090] The sound level sensor is installed at the front, back, left, right and above the center of the motor to obtain decibel data when the motor is running. Since the geometric dimensions of the fan do not exceed 800, according to the engineering method of approximate free field, there are 4 sound level sensors, which are set in 4 mutually perpendicular directions at the front, back and left and right of the fan, with a test radius of 0.4m.

[0091] A temperature sensor, which is mounted on the motor bearing, is used to acquire temperature data of the motor bearing;

[0092] A wind speed sensor is installed at the air outlet of the fan to acquire wind speed data at the outlet.

[0093] A current sensor is installed on the main input line of the fan's control cabinet to acquire the fan's current data.

[0094] A voltage sensor is installed on the main input line of the fan's control cabinet to acquire the fan's voltage data.

[0095] The alarm unit includes an alarm bell and an alarm module. The alarm bell is installed on the outer surface of the ventilator to issue an alarm; the alarm module is installed in the control center to display the fault location; both the alarm bell and the alarm module are electrically connected to the information processing unit.

[0096] The information processing unit is loaded with the aforementioned tunnel ventilation fan health assessment method, which is used to store and analyze the data acquired by the aforementioned sensors and control the alarm unit and ventilation fan to perform corresponding operations under preset conditions.

[0097] The display unit, which is electrically connected to the information processing unit, is used to display the relevant data results calculated and analyzed by the information processing unit in the form of charts (the data results include: the calculation results of the fan's multi-parameter health h, the fan's single-parameter health hx, and the health status of the fan) and the handling suggestions for potential single-parameter impact hazards; the information processing unit and the display unit can be centrally located on the existing control platform.

[0098] All of the above sensors are detachable, and each sensor is connected to the information processing unit via a 4G / 5G interface or a local area network.

[0099] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for assessing the health of tunnel ventilation fans, characterized in that, include: S1: Set the health status level of the ventilation fan; specifically: considering the time-dependent operation of the equipment, the health status h of the fan's multiple parameters is divided into five levels: when h ≥ 0.85, it is considered a shutdown; when 0.65 ≤ h < 0.85, it is considered a scheduled maintenance; when 0.35 ≤ h < 0.65, it is considered unhealthy; when 0.20 ≤ h < 0.35, it is considered sub-healthy; when 0 ≤ h < 0.20, it is considered healthy. S2: The average and peak values ​​of the fan characteristic parameters under different operating frequencies within multiple cycles are statistically analyzed. Specifically, the current I, voltage U, motor speed V, sound level S, motor bearing temperature T, and outlet wind speed W of the fan under different operating frequencies within multiple cycles are used as training samples to calculate the average current Ip, average voltage Up, average motor speed Vp, average sound level Sp, average motor bearing temperature Tp, and average outlet wind speed Wp at frequency i. The peak values ​​of the current Imax, voltage Umax, motor speed Vmax, sound level Smax, motor bearing temperature Tmax, and outlet wind speed Wmax at frequency i are also statistically analyzed. S3: Set the allowable value Φmax for the overlap of the current envelope between the three phases, and set the sampling time interval T. m When Φ ≥ Φmax, a burnout alarm is triggered; when Φ < Φmax, S4 is executed; the expression for Φ is as follows: Where j and k represent different phase groups, and ω represents the phase angle; , where i represents different operating frequencies; S4: Calculate the health status h of a single wind turbine parameter. x ; Among them, f x，t f is the measurement value of a single characteristic parameter x of the wind turbine at time t. p and f max The average and peak values ​​of the single characteristic parameter x of the wind turbine; S5: Set the weights of the characteristic parameter x and calculate the multi-parameter health status h of the wind turbine; Where m is the number of feature parameters; ρ x The weights of the feature parameter x, 0 ≤ ρ x ≤1, and ; S6: Define the health status of the fan based on the multi-parameter health status h of the fan calculated in S5 and the fan health status level set in S1.

2. The method for assessing the health of a tunnel ventilation fan according to claim 1, characterized in that, Also includes: The multi-parameter health status h and the single-parameter health status h of the wind turbine. x The calculation results and the health status of the ventilator are displayed in chart form, and combined with existing maintenance information, suggestions for handling potential hazards caused by single parameters are presented.

3. The method for assessing the health of a tunnel ventilation fan according to claim 1, characterized in that, The burnout alarm in S3 is specifically as follows: It triggers a power outage alarm and shuts down the circuits of the relevant fans.

4. The method for assessing the health of a tunnel ventilation fan according to claim 1, characterized in that, S5 ρ x The probability of wind turbine failure and repair is determined based on statistical analysis.

5. A tunnel ventilation fan health assessment system, characterized in that, include: A motor speed sensor is installed on the rotating shaft of the motor to acquire the motor's speed data; The sound level sensor is installed at the front, back, left, right and above the center of the motor to obtain decibel data when the motor is running. A temperature sensor, which is mounted on the motor bearing, is used to acquire temperature data of the motor bearing; A wind speed sensor is installed at the air outlet of the fan to acquire wind speed data at the outlet. A current sensor is installed on the main input line of the fan's control cabinet to acquire the fan's current data. A voltage sensor is installed on the main input line of the fan's control cabinet to acquire the fan's voltage data. An alarm unit includes an alarm bell and an alarm module. The alarm bell is installed on the outer surface of the ventilator and is used to issue an alarm. The alarm module is used to display the location of the fault. Both the alarm bell and the alarm module are electrically connected to an information processing unit. The information processing unit is loaded with the tunnel ventilation fan health assessment method as described in any one of claims 1-4, which is used to store and analyze the data acquired by the above-mentioned sensors and control the alarm unit and the ventilation fan to perform corresponding operations under preset conditions. The display unit, which is electrically connected to the information processing unit, is used to display the relevant data results calculated and analyzed by the information processing unit, as well as the handling suggestions for potential risks caused by single parameters. The aforementioned sensors are connected to the information processing unit via 4G / 5G interfaces or local area networks.

6. The tunnel ventilation fan health assessment system according to claim 5, characterized in that, The relevant data results calculated and analyzed by the information processing unit include: the multi-parameter health status h of the wind turbine, and the single-parameter health status h of the wind turbine. x The calculation results and the health status of the ventilator.

7. The tunnel ventilation fan health assessment system according to claim 6, characterized in that, The relevant data results calculated and analyzed by the information processing unit are displayed in the form of charts in the display unit.

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