A method for detecting operating conditions of a garage ventilation and smoke exhaust system

Abstract

The present invention provides a method for detecting the operating condition of a garage ventilation and smoke exhaust system, relating to the technical field of ventilation and smoke exhaust system detection technology. The method aims to achieve flexible and reliable detection of each ventilation and smoke exhaust device within the garage. The method comprises: disposing smoke sensors and ventilation and smoke exhaust devices in multiple sub-areas within the garage, and disposing airflow velocity sensors in the exhaust ducts of the ventilation and smoke exhaust devices; when smoke levels exceeding a threshold value occur in the kth sub-area, obtaining a baseline response time for each sub-area; obtaining a corrected response time; detecting the numerical detection status of the smoke sensor in each sub-area; and detecting the response status of the ventilation and smoke exhaust devices in each sub-area. The present invention has the advantage of being able to perform targeted and reliable operating condition detection of multiple ventilation and smoke exhaust devices distributed throughout the garage.

Description

Technical Field

[0001] The present invention relates to the technical field of exhaust and smoke exhaust system detection, and in particular to a method for detecting the operating conditions of an exhaust and smoke exhaust system in a garage. Background Art

[0002] With the rapid advancement of urbanization, garages have been widely used in residential areas, shopping malls, office buildings and other buildings.

[0003] Underground garages are typically large and enclosed. Vehicle exhaust (such as carbon monoxide, carbon dioxide, and nitrogen oxides), along with potential smoke accumulation, poses a threat to human health and environmental safety. To ensure air quality and fire safety within garages, ventilation and smoke exhaust systems are essential. In addition to ensuring the normal daily ventilation and smoke exhaust system operation, the garage environment must be monitored to prevent sudden, large smoke bursts, such as those caused by vehicle failures or human error, from posing a greater safety risk. When smoke levels reach a certain level, the exhaust system must respond promptly to increase its effectiveness. To ensure garage safety, the exhaust system's operating conditions, such as its response reliability, must be tested to identify any issues promptly. However, due to the large size of garages, the number and distribution of exhaust and smoke exhaust devices within them, as well as the complex impact of their interactions, make it difficult to establish specific testing standards for each device when testing the system's operating conditions.

[0004] Therefore, it is necessary to design an operating condition detection method for the garage exhaust and smoke exhaust system, so that each exhaust and smoke exhaust device in the garage can be flexibly and reliably detected. Summary of the Invention

[0005] The object of the present invention is to provide a method for detecting the operating conditions of an exhaust and smoke exhaust system in a garage, which can flexibly and reliably detect each exhaust and smoke exhaust device in the garage.

[0006] The present invention is achieved through the following technical solutions:

[0007] A method for detecting the operating condition of a garage ventilation and smoke exhaust system comprises the following steps:

[0008] Smoke sensors and exhaust devices are respectively provided in multiple sub-areas of the garage, and air flow velocity sensors are provided at the exhaust ducts of the exhaust devices;

[0009] Numbering all the sub-regions from 1 to N in sequence, assuming that the sub-region where the smoke condition exceeding the threshold occurs is numbered k, when the smoke condition exceeding the threshold occurs in the k-th sub-region, obtaining the benchmark response time of each sub-region;

[0010] Obtaining a corrected response time based on the reference response time and the change in smoke concentration in the sub-region where the smoke condition exceeding the threshold occurs;

[0011] Detecting the value detection status of the smoke sensor in each sub-area respectively according to the corrected response time;

[0012] The response of the exhaust and smoke exhaust device of each sub-area is detected respectively according to the corrected response time.

[0013] Preferably, the method for respectively obtaining the benchmark response time of each sub-area is:

[0014] Obtain the distance L between other sub-areas and the sub-area where the smoke condition exceeding the threshold occurs ki ,i≠k,i∈[1,n];

[0015] The benchmark response time of each sub-region is obtained according to the distance between other sub-regions and the sub-region where the smoke condition exceeding the threshold occurs.

[0016] Preferably, the method of obtaining the reference response time of each sub-region according to the distance from other sub-regions to the sub-region where the smoke condition exceeding the threshold occurs is:

[0017] The relationship function between the smoke concentration and time of each sub-area is established respectively:

[0018]

[0019] Among them, sd ki (t) represents the smoke concentration in the i-th sub-area at time t from the time when smoke starts to appear in the k-th sub-area, α is the empirical coefficient of the garage, D is the diffusion coefficient of smoke, and exp represents the natural exponential function;

[0020] sd ki (t) is set as the preset first trigger concentration threshold, and the relationship function between smoke concentration and time is solved to obtain the benchmark response time t of the i-th sub-area ki .

[0021] Preferably, the method for obtaining the corrected response time according to the reference response time and the change in smoke concentration in the sub-region where the smoke condition exceeding the threshold occurs is:

[0022]

[0023] Among them, t ki is the benchmark response time of the ith sub-region, t ′ ki is the corrected response time of the ith sub-region, v SDkis the average changing rate of the smoke concentration in the kth sub-area over time.

[0024] Preferably, the empirical coefficient α is obtained by fitting experimental data in a corresponding car library.

[0025] Preferably, the method for detecting the numerical detection status of the smoke sensor in each sub-area according to the corrected response time is:

[0026] At the time when smoke occurs in the kth sub-area, ′ ki After a certain time, the smoke sensor value of the i-th sub-area is checked; if the smoke sensor value is not less than the second trigger concentration threshold, the smoke sensor in the i-th sub-area passes the test; otherwise, the smoke sensor in the i-th sub-area fails the test, and the second trigger concentration threshold is less than the first trigger concentration threshold;

[0027] Among them, t ′ ki is the corrected response time of the i-th sub-area, and when the smoke sensor reaches the first trigger concentration threshold, the exhaust and smoke exhaust device starts to respond and remove smoke.

[0028] Preferably, the method for detecting the response of the exhaust and smoke exhaust device of each sub-area according to the corrected response time is:

[0029] At the time when smoke occurs in the kth sub-area, ＜ ki After +δ time, check whether the air flow velocity sensor of the i-th sub-area reaches the corresponding threshold value. If so, the exhaust and smoke exhaust device of the i-th sub-area passes the test; otherwise, the exhaust and smoke exhaust device of the i-th sub-area fails the test;

[0030] Wherein, δ is the preset response time error parameter.

[0031] Preferably, the response time error parameter is no greater than 0.1 second.

[0032] Preferably, a plurality of indicator lights are provided, each indicator light being used to indicate the detection results of the smoke sensor and the ventilation and smoke exhaust device in each sub-area.

[0033] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0034] The present invention facilitates accurate detection of each part of the operating condition of the entire exhaust and smoke exhaust system by independently detecting smoke sensors and exhaust devices respectively arranged in multiple sub-areas;

[0035] The present invention calculates the benchmark response time of other sub-regions after smoke conditions exceeding a threshold appear in one sub-region based on smoke characteristics and the interval distribution characteristics of each sub-region. This effectively utilizes map characteristics and smoke characteristics to provide an excellent reference response time as a basis.

[0036] The present invention dynamically calculates the corrected response time based on the baseline response time and changes in smoke concentration, allowing the system to adjust the reference standard according to actual conditions. This not only adapts to the differences in smoke types and regional distribution, but also makes adjustments based on the real-time diffusion of smoke from actual sources, thereby improving the accuracy and reliability of the reference response time.

[0037] The present invention performs working condition detection on the sensor used for detection and the device used for smoke and air exhaust respectively, providing a more comprehensive detection;

[0038] The present invention can formulate highly targeted working condition detection indicators for the detection and response devices of the exhaust and smoke exhaust systems of each sub-area, and has stronger reliability and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of a method for detecting the operating conditions of a garage ventilation and smoke exhaust system provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0041] Example 1

[0042] This embodiment provides a method for detecting the operating conditions of a garage ventilation and smoke exhaust system. Figure 1 , including the following steps:

[0043] Smoke sensors and exhaust devices are respectively provided in multiple sub-areas of the garage, and air flow velocity sensors are provided at the exhaust ducts of the exhaust devices;

[0044] Numbering all the sub-regions from 1 to N in sequence, assuming that the sub-region where the smoke condition exceeding the threshold occurs is numbered k, when the smoke condition exceeding the threshold occurs in the k-th sub-region, obtaining the benchmark response time of each sub-region;

[0045] Obtaining a corrected response time based on the reference response time and the change in smoke concentration in the sub-region where the smoke condition exceeding the threshold occurs;

[0046] Detecting the value detection status of the smoke sensor in each sub-area respectively according to the corrected response time;

[0047] The response of the exhaust and smoke exhaust device of each sub-area is detected respectively according to the corrected response time.

[0048] This embodiment can independently detect the smoke conditions and operating status of the exhaust and smoke exhaust equipment in each sub-area, and realize refined management of the operating conditions of the entire exhaust and smoke exhaust system. The air flow velocity sensor can detect the working intensity of each exhaust and smoke exhaust device. Normally, the exhaust and smoke exhaust device is in the normal exhaust and smoke exhaust mode. When the smoke sensor detects that the smoke has reached a certain high concentration, the system should promptly adjust the exhaust and smoke exhaust device to increase the efficiency and intensity of the exhaust and smoke exhaust. This embodiment detects whether the smoke sensor and the exhaust and smoke exhaust device can respond quickly within the effective time after the smoke reaches a certain high concentration. This embodiment uses map features (such as the mutual distance between sub-areas) and the characteristics of smoke diffusion to generate an accurate reference response time, that is, a benchmark response time, as the basis for subsequent monitoring and response. On this basis, the basic benchmark response time is corrected in a more targeted manner in combination with the actual changes in smoke concentration at the source, which improves the accuracy and reliability of the reference response time of the facilities in each sub-area. Then, targeted working condition detection indicators can be formulated for the smoke sensors and exhaust and smoke exhaust devices in each sub-area, thereby improving the accuracy and reliability of the working condition detection of the exhaust and smoke exhaust system of the entire garage.

[0049] In this embodiment, the method for respectively obtaining the benchmark response time of each sub-region is:

[0050] Obtain the distance L between other sub-areas and the sub-area where the smoke condition exceeding the threshold occurs ki ,i≠k,i∈[1,N];

[0051] The benchmark response time of each sub-region is obtained according to the distance between other sub-regions and the sub-region where the smoke condition exceeding the threshold occurs.

[0052] As a preferred solution, the method for obtaining the reference response time of each sub-region based on the distance from other sub-regions to the sub-region where the smoke condition exceeding the threshold occurs is:

[0053] The relationship function between the smoke concentration and time of each sub-area is established respectively:

[0054]

[0055] Among them, sd ki (t) represents the smoke concentration in the i-th sub-area at time t from the time when smoke starts to appear in the k-th sub-area, α is the empirical coefficient of the garage, D is the diffusion coefficient of smoke, and exp represents the natural exponential function;

[0056] sd ki (t) is set as the preset first trigger concentration threshold, and the relationship function between smoke concentration and time is solved to obtain the benchmark response time t of the i-th sub-area ki .

[0057] On this basis, the method for obtaining the corrected response time according to the reference response time and the change in smoke concentration in the sub-region where the smoke condition exceeding the threshold occurs is:

[0058]

[0059] Among them, t ki is the benchmark response time of the ith sub-region, t ′ ki is the corrected response time of the ith sub-region, is the average changing rate of the smoke concentration in the kth sub-area over time.

[0060] The correction response time is obtained by referring to the actual change of the smoke concentration at the source. Assuming that the diffusion rate of the source remains unchanged, the time when the smoke starts to appear at the source is t ki The concentration at Its changing speed at this time is By seeking Compared to Ratio A reference standard for variation deviation can be obtained when equal When the ratio is 1, no correction is required. ki When the ratio is less than 1, it means that the emission from the source has slowed down, so the diffusion speed and concentration will be reduced to a certain extent, and the reference time also needs to be increased, so it is corrected to t ki Multiply by the inverse of the ratio On the contrary, when the ratio is greater than 1, it means that the source of the radiation has become faster, so the diffusion speed and concentration will increase to a certain extent, and it is also corrected to t ki Multiply by the inverse of the ratio

[0061] Furthermore, the empirical coefficient α is obtained by fitting experimental data in the corresponding car garage.

[0062] Next, the method for detecting the numerical detection status of the smoke sensor in each sub-area according to the corrected response time is as follows:

[0063] At the time when smoke occurs in the kth sub-area, ′ ki After a certain time, the smoke sensor value of the i-th sub-area is checked; if the smoke sensor value is not less than the second trigger concentration threshold, the smoke sensor in the i-th sub-area passes the test; otherwise, the smoke sensor in the i-th sub-area fails the test, and the second trigger concentration threshold is less than the first trigger concentration threshold;

[0064] Among them, t ′ ki is the corrected response time of the i-th sub-area, and when the smoke sensor reaches the first trigger concentration threshold, the exhaust and smoke exhaust device starts to respond and remove smoke.

[0065] On the other hand, the method for detecting the response of the exhaust and smoke exhaust device of each sub-area according to the modified response time is as follows:

[0066] At the time when smoke occurs in the kth sub-area, 3 ki After +δ time, check whether the air flow velocity sensor of the i-th sub-area reaches the corresponding threshold value. If so, the exhaust and smoke exhaust device of the i-th sub-area passes the test; otherwise, the exhaust and smoke exhaust device of the i-th sub-area fails the test;

[0067] Wherein, δ is a preset response time error parameter, which provides an allowable response time for each exhaust and smoke exhaust device.

[0068] As a further preferred solution, the response time error parameter is no greater than 0.1 second.

[0069] Finally, a plurality of indicator lights may be preferably provided, each indicator light being used to indicate the detection results of the smoke sensor and the exhaust and smoke exhaust device in each sub-area.

[0070] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A method for detecting the operating conditions of a garage ventilation and smoke exhaust system, characterized in that: The following steps are involved: Smoke sensors and exhaust devices are respectively provided in multiple sub-areas of the garage, and air flow velocity sensors are provided at the exhaust ducts of the exhaust devices; All the sub-regions are numbered from 1 to N in sequence, and the sub-region where the smoke condition exceeding the threshold occurs is numbered k. When the smoke condition exceeding the threshold occurs in the k-th sub-region, the benchmark response time of each sub-region is obtained respectively; Obtaining a corrected response time based on the reference response time and the change in smoke concentration in the sub-region where the smoke condition exceeding the threshold occurs; Detecting the value detection status of the smoke sensor in each sub-area respectively according to the corrected response time; detecting the response of the exhaust and smoke exhaust device of each sub-area according to the corrected response time; The method for obtaining the benchmark response time of each sub-area is as follows: Obtain the distance L between other sub-areas and the sub-area where the smoke condition exceeding the threshold occurs ki ,i≠k,i∈[1,N]; Obtaining a benchmark response time for each sub-area based on the distances from other sub-areas to the sub-area where the smoke condition exceeding the threshold occurs; The method for obtaining the reference response time of each sub-area based on the distance from other sub-areas to the sub-area where the smoke condition exceeding the threshold occurs is: The relationship function between the smoke concentration and time of each sub-area is established respectively: Among them, sd ki (t) represents the smoke concentration in the i-th sub-area at time t from the time when smoke starts to appear in the k-th sub-area, α is the empirical coefficient of the garage, D is the diffusion coefficient of smoke, and exp represents the natural exponential function; sd ki (t) is set as the preset first trigger concentration threshold, and the relationship function between smoke concentration and time is solved to obtain the benchmark response time t of the i-th sub-area ki ; The method for obtaining the corrected response time according to the reference response time and the change in smoke concentration in the sub-region where the smoke condition exceeding the threshold occurs is: Among them, t ki is the benchmark response time of the ith sub-region, t′ ki is the corrected response time of the i-th sub-region, is the average changing rate of the smoke concentration in the kth sub-area over time.

2. The method for detecting the operating condition of a garage ventilation and smoke exhaust system according to claim 1, characterized in that: The empirical coefficient α is obtained by fitting experimental data in a corresponding car library.

3. The method for detecting the operating condition of a garage ventilation and smoke exhaust system according to claim 1, characterized in that: The method for detecting the numerical detection status of the smoke sensor in each sub-area according to the corrected response time is as follows: At t′ when smoke occurs in the kth sub-area ki After a certain time, the smoke sensor value of the i-th sub-area is checked; if the smoke sensor value is not less than the second trigger concentration threshold, the smoke sensor in the i-th sub-area passes the test; otherwise, the smoke sensor in the i-th sub-area fails the test, and the second trigger concentration threshold is less than the first trigger concentration threshold; Where t′ ki is the corrected response time of the i-th sub-area, and when the smoke sensor reaches the first trigger concentration threshold, the exhaust and smoke exhaust device starts to respond and remove smoke.

4. The method for detecting the operating condition of a garage ventilation and smoke exhaust system according to claim 1, characterized in that: The method for detecting the response of the exhaust and smoke exhaust device of each sub-area according to the modified response time is as follows: At t′ when smoke occurs in the kth sub-area ki After +δ time, check whether the air flow velocity sensor of the i-th sub-area reaches the corresponding threshold value. If so, the exhaust and smoke exhaust device of the i-th sub-area passes the test; otherwise, the exhaust and smoke exhaust device of the i-th sub-area fails the test; Wherein, δ is the preset response time error parameter.

5. The method for detecting the operating condition of a garage ventilation and smoke exhaust system according to claim 4, characterized in that: The response time error parameter is no greater than 0.1 seconds.

6. The method for detecting the operating condition of a garage ventilation and smoke exhaust system according to claim 1, characterized in that: A plurality of indicator lights are provided, each of which is used to indicate the detection results of the smoke sensor and the exhaust and smoke exhaust device in each sub-area.

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