CN116538120A - Tunnel ventilator health degree assessment method and system - Google Patents

Abstract

The invention discloses a method and system for evaluating the health degree of a tunnel ventilator. The method includes: S1: setting the health status level of the ventilator; S2: counting the average value and peak value of the characteristic parameters of the ventilator under different operating frequencies in multiple cycles; S3: Set the allowable value Φmax of the coincidence degree Φ of the current envelope between the three phases, and set the sampling time interval T _m ; when Φ≧Φmax, perform a burnout alarm; when Φ<Φmax, execute S4; S4: Calculate the fan Single-parameter health degree h _x ; S5: Set the weight of characteristic parameter x, and calculate fan multi-parameter health degree h; S6: Define the fan according to the health degree h calculated in S5 and combined with the health status level of the fan set in S1 health status. The present invention can promptly prompt management personnel to deal with abnormalities, greatly reduces the possibility of fan burnout, and is suitable for further popularization and application.

Description

A method and system for evaluating the health of tunnel ventilators

technical field

The invention relates to the technical field of tunnel ventilators, in particular to a method and system for evaluating the health of tunnel ventilators.

Background technique

As a quick way to pass through mountains, tunnels have become a major part of urban highways. With the rapid development of the national economy, the number of underground tunnels in my country and the length of the tunnels are increasing. While these tunnels solve traffic problems, there are also many hidden dangers: cars often need to consume a lot of oxygen and emit a lot of waste gas, such as CO ₂ , CO, nitrogen oxides, etc., during driving, and tunnels are relatively sealed spaces. , if these gases cannot be discharged immediately, it will have adverse effects on the human body; not only that, the exhaust gas emitted by vehicles often contains some solid particles, when the concentration of solid particles in the tunnel is high, it will lead to reduced visibility, which will affect Driving safety of the driver; at the same time, as a relatively sealed space, the tunnel only relies on natural wind for oxygen supplementation and exhaust gas treatment often fails to achieve the expected results; in addition, the tunnel is characterized by a long and narrow space. Once a fire occurs in the tunnel, the A large amount of smoke threatens the escape of personnel, affects the fire fighting route, and hinders the arrival of rescuers and the rescue of the wounded. Therefore, it is very important to design fans in the tunnel to assist tunnel ventilation. The ventilation system is mainly to complete the ventilation inside the tunnel, realize the air quality control and temperature control inside the tunnel, and ensure the safety of traffic operation. Therefore, high requirements are put forward for the safety of the ventilation fan, and the working condition of the fan must be guaranteed.

In the prior art scheme, the safety ventilation of the tunnel focuses on the following aspects:

1) A safety monitoring system is installed inside the tunnel to detect the overall situation inside the tunnel to ensure the safe operation of the tunnel.

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

2) Control of safe and energy-saving ventilation system.

For example, the patent application number CN202010196482.8 proposes a control method for a safe and energy-saving ventilation system in expressway tunnels, which mediates and controls the fans. The application number is CN202210717741.6, which proposes a control method for a tunnel fire extinguishing system and a smoke exhaust system, and relates to a tunnel fire extinguishing and smoke exhaust control system. The application number is CN202110747356.1, which proposes a pressurized air supply system for safe evacuation passages.

3) Tunnel safety early warning and monitoring.

For example, the application number is CN202220742244.7, which proposes a highway tunnel safety warning system. The application number is CN202123035209.6, which proposes a tunnel safety detection device for dust content in buildings.

These studies are for the rapid, accurate positioning and effective diagnosis of various disasters in tunnels, so that relevant operators such as dispatchers can deal with disasters in a timely manner, and provide guarantee for tunnel operation safety. However, the above studies are all based on the good condition of the tunnel ventilation system, that is to say, on the basis of the normal operation and adjustment of the ventilator (exhaust fan), and the regulation, monitoring and early warning of the ventilation system. When a dangerous situation occurs in the safety monitoring system, passive services such as alarm and positioning are issued. How to carry out targeted health assessment and early warning of ventilators (exhaust fans), and achieve active reminders and arrangements for the maintenance and replacement of ventilators (exhaust fans), has become an urgent engineering problem to be solved .

After engineering research, most of the problems with the tunnel fan are concentrated in the burning of the motor. The main reasons for the burning are the following three points: the vibration of the fan bearing, the lack of phase of the motor, and the locking of the fan, resulting in overheating of the motor. Bearing vibration involves the vibration caused by the unbalanced dust accumulation of the impeller and the vibration caused by the looseness of the mounting bolts; the phase loss of the motor includes: the phase loss during starting, the motor cannot start, and the winding current is 5 to 7 times the rated current. The calorific value is 15 to 50 times the normal temperature rise, and the motor will burn out because it exceeds the allowable temperature rise rapidly; when the phase is missing at full load, the motor is in an overcurrent state, that is, the current exceeds the rated current, and the motor will change from fatigue to stalled. The line current of the unbroken phase increases more, causing the motor to burn out rapidly; when the motor is running under light load, the winding current of the unbroken phase increases rapidly, causing the winding of this phase to be burned due to excessive temperature rise; the fan is locked because The quality of lubricating oil is not good or there is no lubrication, which leads to a sharp rise in dry friction temperature, which makes the ball expand more than the bearing clearance and lock up. In addition, these system faults have the characteristics of multiple, repetitive and complex. How to realize the health evaluation of the ventilator through some necessary hardware facilities and scientific calculation and evaluation methods, and realize the active reminder of the maintenance and replacement of the ventilator (exhaust fan). For this reason, the present invention proposes a method and system for evaluating the health of a tunnel ventilator.

Contents of the invention

Aiming at the above technical problems, the present invention provides a method and system for evaluating the health of tunnel ventilators. By collecting necessary operating parameters, scientific analysis and evaluation is carried out, combined with existing maintenance information, health evaluation is given and related faults are evaluated. Provide warnings and recommendations.

In order to realize above-mentioned technical purpose, the technical scheme that the present invention adopts is:

A method for evaluating the health of a tunnel ventilator, comprising:

S1: Set the fan health status level;

S2: The average value and peak value of fan characteristic parameters under different operating frequencies are counted in multiple cycles;

S3: Set the allowable value Φmax of the coincidence degree Φ of the current envelope between the three phases, and set the sampling time interval T _m ; when Φ≧Φmax, perform a burnout alarm; when Φ<Φmax, execute S4;

S4: Calculate the single-parameter health degree h _x of the wind turbine;

Among them, f _{x, t} is the measured value of the single characteristic parameter x based on the fan at time t, and f _p and f _max are the average value and peak value of the single characteristic parameter x based on the fan;

S5: Set the weight of the characteristic parameter x, and calculate the multi-parameter health degree h of the wind turbine;

Among them, m is the number of characteristic parameters; ρ _x is the weight of the characteristic parameter x, 0≤ρ _x ≤1, and

S6: Define the health state of the ventilator according to the health degree h calculated in S5 and combined with the health state level of the ventilator set in S1.

Further, it also includes: displaying the calculation results of the multi-parameter health h of the fan, the single-parameter health hx of the fan, and the health status of the fan in the form of a graph, and combining the existing maintenance information to display the treatment suggestions for hidden dangers affected by a single parameter .

Further, S1 is specifically:

Considering the timeliness of equipment operation, the reference health degree h is divided into five levels:

Shutdown (h≧0.85), scheduled maintenance (0.65≦h<0.85), unhealthy (0.35≦h<0.65), sub-healthy (0.20≦h<0.35), healthy (0≦h<0.20).

Further, S2 is 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 are counted in multiple cycles as training samples, and the current average value Ip and voltage average value at frequency i are calculated. Value Up, average motor speed Vp, average sound level Sp, average motor bearing temperature Tp, average outlet wind speed Wp, and statistics of current peak value Imax, voltage peak value Umax, motor speed peak value Vmax, and sound level at frequency i Peak value Smax, motor bearing temperature peak value Tmax, outlet wind speed peak value Wmax.

Further, the expression of Φ described in S3 is as follows:

Among them, j and k represent different phase groups, and ω represents the phase angle;

i represents different operating frequencies.

Further, the burning alarm in S3 is specifically:

Carry out a power failure shutdown alarm, and shut down the circuit of the related fan in linkage.

Further, _ρx in S5 is determined according to the probability statistics of fan failure maintenance.

The present invention also provides a tunnel ventilator health evaluation system, including:

The motor speed sensor is installed on the rotating shaft of the motor to obtain the speed data of the motor;

The sound level sensor is installed on the front, back, left, and right sides of the motor and above the center of the motor to obtain decibel data when the motor is running;

A temperature sensor, which is installed on the motor bearing, is used to obtain the temperature data of the motor bearing;

A wind speed sensor, which is installed at the air outlet of the fan, is used to obtain the wind speed data of the air outlet;

A current sensor, which is installed on the main incoming line of the control cabinet of the ventilator, is used to obtain the current data of the ventilator;

A voltage sensor, which is installed on the main incoming line of the control cabinet of the ventilator, is used to obtain the voltage data of the ventilator;

The alarm unit includes an alarm bell and an alarm module, the alarm bell is arranged on the outer surface of the ventilator for issuing an alarm; the alarm module is used to display the fault location; the alarm bell and the alarm module are electrically connected to the information processing unit connected;

The information processing unit is loaded with the above-mentioned method for evaluating the health of the tunnel ventilator, and is used for storing and analyzing the data obtained by the above-mentioned sensors and controlling the alarm unit and the ventilator to perform corresponding operations under preset conditions;

The display unit is electrically connected with the information processing unit, and is used to display the relevant data results calculated and analyzed by the information processing unit and the processing suggestions for hidden dangers affected by single parameters;

Each of the above sensors is connected to the information processing unit through a 4G/5G interface or a local area network.

Further, the relevant data results calculated and analyzed by the information processing unit include: the multi-parameter health degree h of the fan, the calculation result of the single-parameter health hx of the fan, and the health status of the fan.

Preferably, the related data results calculated and analyzed by the information processing unit are displayed in the form of graphs on the display unit.

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

According to the operating characteristics of the tunnel fan, the present invention considers the hidden dangers caused by the frequent frequency conversion operation of the fan system to the safety of the fan, and proposes a method and system for evaluating the health of the tunnel fan, which has the following advantages:

1) The present invention sets up burn-out alarms, alarm bells and an alarm module capable of displaying fault locations in the control center, so as to prompt management personnel to deal with abnormalities in time, greatly reducing the possibility of fan burnout;

2) According to the analysis of the health degree of the single parameter of the fan, the present invention can conveniently and quickly find potential safety hazards and achieve the purpose of early warning.

3) The present invention visually displays the multi-parameter health degree h of the fan with a chart, realizes the active maintenance and replacement of the fan (exhaust fan), and greatly reduces the test time of the fan inspection;

4) The present invention has a simple setting system, can realize online detection, and has huge engineering value.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

Fig. 1 is a schematic flow chart of the tunnel ventilator health evaluation method in the present invention;

Fig. 2 is a structural schematic diagram of the tunnel ventilator health evaluation system in the present invention.

Detailed ways

The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. In particular, the following examples are only used to illustrate the present invention, but not to limit the scope of the present invention. Likewise, the following embodiments are only some but not all embodiments of the present invention, and all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

Referring to Figure 1, in a certain tunnel, the ventilator is a SDF(B)-NO9.6 multi-stage variable-speed fan. This solution provides a method for evaluating the health of the tunnel ventilator, which is applied to this fan. By collecting the necessary The operating parameters, analysis and evaluation, and combined with the existing maintenance information, give a health evaluation, which can give early warning and suggestions for potential safety hazards caused by phase loss, fan bearing operation failure, and fan impeller installation, including the following steps:

S1: Set the fan health status level. Specifically: considering the timeliness of equipment operation, the reference health degree h is divided into five levels:

Shutdown (h≧0.85), scheduled maintenance (0.65≦h<0.85), unhealthy (0.35≦h<0.65), sub-healthy (0.20≦h<0.35), healthy (0≦h<0.20).

S2: The average value and peak value of fan characteristic parameters under different operating frequencies are counted within multiple cycles; 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 are counted in multiple cycles as training samples, and the current average value Ip and voltage average value at frequency i are calculated. Value Up, average motor speed Vp, average sound level Sp, average motor bearing temperature Tp, average outlet wind speed Wp, and statistics of current peak value Imax, voltage peak value Umax, motor speed peak value Vmax, and sound level at frequency i Peak value Smax, motor bearing temperature peak value Tmax, outlet wind speed peak value Wmax. The relevant characteristic parameters of the fan are shown in Table 1 below:

Table 1

S3: Set the allowable value Φmax of the coincidence degree Φ of the current envelope between the three phases, and set the sampling time interval T _m ; where, the expression of Φ is as follows:

Among them, j and k represent different phase groups, and ω represents the phase angle;

i represents different operating frequencies; when Φ≧Φmax, a burn-out alarm will be issued, that is, a power-off shutdown alarm will be issued, and the circuit of the related fan will be shut down in conjunction; when Φ<Φmax, execute S4; for 50Hz power frequency operation, three The allowable value Φmax of the coincidence degree of the current envelope between phases Φ=10A, the coincidence degree of the current envelope between the three phases at the time of measurement Φ=3A, there is no alarm in this example.

S4: Calculate the single-parameter health degree h _x of the wind turbine;

Among them, f _{x, t} are the measured values of the fan-based single characteristic parameter x at time t, and f _p and f _max are the average and peak values of the fan-based single characteristic parameter x. The health degree h _x of each single parameter of the fan is shown in Table 2 below:

Table 2

S5: Set the weight of the characteristic parameter x, and calculate the multi-parameter health degree h of the wind turbine;

Among them, m is the number of characteristic parameters; ρ _x is the weight of the characteristic parameter x, 0≤ρ _x ≤1, and

Among them, _ρx is determined according to the probability statistics of fan failure maintenance.

S6: Define the health state of the ventilator according to the health degree h calculated in S5 and combined with the health state level of the ventilator set in S1.

S7: Display the calculation results of fan multi-parameter health degree h, fan single-parameter health degree hx, and fan health status in chart form, combined with existing maintenance information, display suggestions for handling hidden dangers affected by single parameter, and give management personnel Technical guidance and assistance. The details are shown in Table 3 below:

table 3

Referring to Figure 2, this program provides a health assessment system for tunnel ventilators, which includes:

The motor speed sensor is installed on the rotating shaft of the motor to obtain the speed data of the motor;

The sound level sensor is installed on the front, rear, left, right, and above the center of the motor to obtain the decibel data when the motor is running; since the geometric size of the fan does not exceed 800, according to the approximate free field engineering method, the number of sound level sensors 4 is 4 One, set in four directions perpendicular to each other in the front, back, left, and right of the fan, and the test radius is 0.4m.

A temperature sensor, which is installed on the motor bearing, is used to obtain the temperature data of the motor bearing;

A wind speed sensor, which is installed at the air outlet of the fan, is used to obtain the wind speed data of the air outlet;

A current sensor, which is installed on the main incoming line of the control cabinet of the ventilator, is used to obtain the current data of the ventilator;

A voltage sensor, which is installed on the main incoming line of the control cabinet of the ventilator, is used to obtain the voltage data of the ventilator;

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

The information processing unit is loaded with the above-mentioned method for evaluating the health of the tunnel ventilator, and is used for storing and analyzing the data obtained by the above-mentioned sensors and controlling the alarm unit and the ventilator to perform corresponding operations under preset conditions;

The display unit is electrically connected with the information processing unit, and 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 wind turbine multi-parameter health degree h, and the wind turbine single parameter health degree hx and the health status of the ventilator) and suggestions for handling hidden dangers affected by a single parameter; among them, the information processing unit and display unit can be centrally set on the original control platform.

Each of the above sensors is detachable, and each sensor is connected to the information processing unit through a 4G/5G interface or a local area network.

The above descriptions are only part of the embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any equivalent device or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related All technical fields are equally included in the scope of patent protection of the present invention.

Claims (10)

1. A method for evaluating the health of a tunnel ventilator, comprising: S1: Set the fan health status level; S2: The average value and peak value of fan characteristic parameters under different operating frequencies are counted in multiple cycles; S3: Set the allowable value Φmax of the coincidence degree Φ of the current envelope between the three phases, and set the sampling time interval T _m ; when Φ≧Φmax, perform a burnout alarm; when Φ<Φmax, execute S4; S4: Calculate the single-parameter health degree h _x of the wind turbine; Among them, f _{x, t} is the measured value of the single characteristic parameter x based on the fan at time t, and f _p and f _max are the average value and peak value of the single characteristic parameter x based on the fan; S5: Set the weight of the characteristic parameter x, and calculate the multi-parameter health degree h of the wind turbine; Among them, m is the number of characteristic parameters; ρ _x is the weight of the characteristic parameter x, 0≤ρ _x ≤1, and S6: Define the health state of the ventilator according to the health degree h calculated in S5 and combined with the health state level of the ventilator set in S1. 2. A method for evaluating the health of a tunnel ventilator according to claim 1, further comprising: calculating the multi-parameter health h of the fan, the single-parameter health hx of the fan, and the health status of the ventilator by It is displayed in the form of a graph, combined with the existing maintenance information, and shows the treatment suggestions for hidden dangers affected by a single parameter. 3. A method for evaluating the health of tunnel ventilators according to claim 1, wherein S1 is specifically: Considering the timeliness of equipment operation, the reference health degree h is divided into five levels: Shutdown (h≧0.85), scheduled maintenance (0.65≦h<0.85), unhealthy (0.35≦h<0.65), sub-healthy (0.20≦h<0.35), healthy (0≦h<0.20). 4. A method for evaluating the health of a tunnel ventilator according to claim 1, wherein S2 is 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 are counted in multiple cycles as training samples, and the current average value Ip and voltage average value at frequency i are calculated. Value Up, average motor speed Vp, average sound level Sp, average motor bearing temperature Tp, average outlet wind speed Wp, and statistics of current peak value Imax, voltage peak value Umax, motor speed peak value Vmax, and sound level at frequency i Peak value Smax, motor bearing temperature peak value Tmax, outlet wind speed peak value Wmax. 5. A method for evaluating the health of a tunnel ventilator according to claim 1, wherein the Φ expression in S3 is as follows: Among them, j and k represent different phase groups, and ω represents the phase angle; i represents different operating frequencies. 6. A method for evaluating the health of a tunnel ventilator according to claim 1, wherein the burning alarm in S3 is specifically: Carry out a power failure shutdown alarm, and shut down the circuit of the related fan in linkage. 7. A method for evaluating the health of tunnel ventilators according to claim 1, characterized in that _ρx in S5 is determined according to the probability statistics of fan failure maintenance. 8. A tunnel ventilator health assessment system, characterized in that it comprises: The motor speed sensor is installed on the rotating shaft of the motor to obtain the speed data of the motor; The sound level sensor is installed on the front, back, left, and right sides of the motor and above the center of the motor to obtain decibel data when the motor is running; A temperature sensor, which is installed on the motor bearing, is used to obtain the temperature data of the motor bearing; A wind speed sensor, which is installed at the air outlet of the fan, is used to obtain the wind speed data of the air outlet; A current sensor, which is installed on the main incoming line of the control cabinet of the ventilator, is used to obtain the current data of the ventilator; A voltage sensor, which is installed on the main incoming line of the control cabinet of the ventilator, is used to obtain the voltage data of the ventilator; An alarm unit, which includes an alarm bell and an alarm module, the alarm bell is arranged on the outer surface of the ventilator for issuing 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 the information processing unit connected; The information processing unit is loaded with the tunnel ventilator health evaluation method according to any one of claims 1-7, which is used to store and analyze the data obtained by the above sensors and control the alarm unit and the ventilator to meet the preset conditions. carry out corresponding operations; The display unit is electrically connected to the information processing unit, and is used to display the relevant data results calculated and analyzed by the information processing unit and the processing suggestions for hidden dangers affected by single parameters; Each of the above sensors is connected to the information processing unit through a 4G/5G interface or a local area network. 9. A tunnel ventilator health assessment system according to claim 8, characterized in that the related data results calculated and analyzed by the information processing unit include: the calculation of the multi-parameter health h of the fan and the single-parameter health hx of the fan Results and the health status of the ventilator. 10 . The tunnel ventilator health evaluation system according to claim 9 , wherein the related data results calculated and analyzed by the information processing unit are displayed in the form of charts in the display unit. 11 .