Intelligent ventilation control method, system and ventilation equipment for underground engineering

Abstract

The present invention belongs to the field of underground engineering ventilation technology, and specifically discloses an intelligent ventilation control method, system and ventilation equipment for underground engineering, the method comprising: performing image acquisition and real-time detection of oxygen concentration at each detection point, judging ventilation warning demand, judging as demand warning, activating the alarm terminal, otherwise, performing patrol environment detection of each pipeline section; performing environmental status analysis in each pipeline section; confirming the ventilation mode in the underground corridor and confirming the ventilation setting index under the corresponding ventilation mode, and activating the ventilation control terminal of the corresponding vent to perform ventilation control accordingly. The present invention realizes the targeted ventilation setting of underground engineering, effectively solves the problem that the current energy-saving effect is not obvious, avoids the lack of flexibility of the current integrated control, and realizes precise fan control analysis at the same time, and maximizes energy saving as much as possible on the basis of ensuring ventilation efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of underground engineering ventilation, and in particular, relates to an intelligent ventilation control method, system and ventilation equipment for underground engineering. Background Art

[0002] With the acceleration of urbanization and the continuous development and utilization of underground pipelines, underground shopping malls, subways, underground parking lots, underground warehouses and other underground facilities have brought convenience to people's lives and urban operations, but have also brought a series of environmental problems. Underground pipelines are relatively closed and air circulation is not smooth, which highlights the necessity and importance of ventilation control.

[0003] Prior art, such as a Chinese invention patent application with application number 202310793893.9, discloses a method for dynamic control of air quality in a complex underground cavern, which collects cavern environmental data by utilizing air quality detection equipment installed in each underground cavern. The environmental data is transmitted to the software platform of the real-time monitoring and intelligent control system for air quality during the construction period of the complex underground cavern, and the start, stop and frequency conversion status of multiple fans installed in each cavern are adjusted after transmission and analysis of the environmental data, as well as the adjustment of the air quality curve and fan status at various locations in the underground cavern is visually displayed. The software platform of the real-time monitoring and intelligent control system for air quality during the construction period of the complex underground cavern adjusts the frequency of the air quality detection equipment collecting cavern environmental data according to the air data feedback. In this way, the ventilation of the underground cavern can ensure the air quality without wasting the fan efficiency, thus achieving the goal of green energy saving.

[0004] Another example of the prior art is the intelligent ventilation control system for underground projects disclosed in the Chinese utility model patent application with application number 202222963207.1, which includes an air-conditioning area and an exhaust area. The air-conditioning area is connected to the air inlet duct, and a fresh air fan is provided on the air inlet duct. The fresh air fan can suck in outdoor fresh air and transport it to the air-conditioning area. The indoor temperature sensor, the air inlet temperature sensor and the fresh air fan are electrically connected to the controller, and the controller controls the air intake volume of the fresh air fan according to the temperature difference between the outdoor temperature and the indoor temperature to adjust the temperature of the air-conditioning area. The exhaust area is connected to the exhaust duct, and an exhaust fan is provided on the exhaust duct. The exhaust fan can discharge the hot air in the exhaust area to the outside to achieve ventilation and heat dissipation. In addition, the supply and exhaust air volumes can be automatically matched according to the actual heat dissipation, distribution law and outdoor ambient temperature inside the underground project, and the heat dissipation of the internal equipment of the project can be discharged by introducing cold air with lower outdoor temperature and discharging hot air with higher indoor temperature.

[0005] Regarding the above two technical solutions, it is obvious that the current ventilation control of underground projects still has the following deficiencies: 1. The energy-saving effect is not significantly improved. Currently, it tends to be integrated control with low flexibility, and thus there is still a significant amount of energy waste in the actual operation process.

[0006] 2. The environmental testing coverage is insufficient. Currently, environmental testing equipment is placed at fixed environmental testing points to conduct environmental testing. There is a certain deviation in the representativeness of the test data, and the test data also has certain limitations.

[0007] 3. Underground ventilation control does not take safety into consideration enough. Currently, targeted safety assessments are not made based on the specific conditions of underground pipelines. Instead, a fixed comparison value is used, which increases the probability of missed warnings or false warnings.

[0008] 4. The energy efficiency of underground ventilation control is not optimized enough. The ventilation system is usually one of the main energy-consuming equipment in underground projects. Currently, precise fan control is not carried out based on specific needs. First, ventilation efficiency cannot be guaranteed, and second, energy conservation cannot be maximized. Summary of the invention

[0009] In view of this, in order to solve the problems raised in the above background technology, an intelligent ventilation control method, system and ventilation equipment for underground engineering are proposed.

[0010] The purpose of the present invention can be achieved through the following technical solutions: The first aspect of the present invention provides an intelligent ventilation control method for underground engineering, including: S1, a primary detection of the internal environment: starting each camera installed in the underground pipeline to collect images, and obtaining each collected image, and at the same time starting the gas sensor installed at each detection point in the underground pipeline to perform real-time detection of oxygen concentration, and obtain the real-time oxygen concentration corresponding to each detection point.

[0011] S2. Ventilation warning judgment: judge the ventilation warning demand. If it is judged as a demand warning, start the alarm terminal and alarm, otherwise proceed to the next step.

[0012] S3. Secondary detection of internal environment: Start the mobile environment detection terminal installed in each pipeline section in the underground pipeline to conduct patrol environment detection, and obtain the environmental information corresponding to each detection point in each pipeline section.

[0013] S4. Internal environmental status analysis: Based on the data detected in step S3, the environmental status analysis in each pipeline section is performed, and the environmental anomaly index in each pipeline section is output.

[0014] S5. Confirmation of ventilation settings: Import the setting information of each ventilation opening, confirm the ventilation mode in the underground pipeline and confirm the ventilation setting indicators under the corresponding ventilation mode. The ventilation mode includes overall ventilation and local ventilation.

[0015] S6. Ventilation control execution: based on the ventilation setting index in the ventilation mode, the ventilation control terminal corresponding to the ventilation port is started to perform ventilation control.

[0016] The second aspect of the present invention provides an intelligent ventilation control system for underground projects, including: an environmental preliminary detection module, which is used to start the cameras installed in the underground pipeline to collect images, and to start the gas sensors installed at each detection point in the underground pipeline to perform real-time detection of oxygen concentration, and obtain the corresponding oxygen concentration detected at each detection point.

[0017] The ventilation warning judgment module is used to judge the ventilation warning demand. If it is judged as a demand warning, the alarm terminal is started to issue a ventilation alarm.

[0018] The secondary environmental detection module is used to start the mobile environmental detection terminal installed in each corresponding pipeline section in the underground pipeline to conduct patrol environmental detection when a ventilation alarm is triggered, and obtain the environmental information corresponding to each detection point in each pipeline section.

[0019] The environmental status analysis module is used to analyze the environmental status in each pipeline section and output the analysis environmental status indicators in each pipeline section.

[0020] The ventilation setting confirmation module is used to import the setting information of each ventilation opening, confirm the ventilation mode in the underground pipeline and confirm the ventilation setting indicators under the corresponding ventilation mode.

[0021] The ventilation control execution terminal is used to start the ventilation control terminal of the corresponding ventilation port to perform ventilation control based on the ventilation setting index in the ventilation mode.

[0022] A third aspect of the present invention provides a ventilation device, comprising a processor and a memory for storing execution instructions of the processor, wherein the processor is configured to execute an intelligent ventilation control method for underground engineering described in the present invention.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention realizes targeted ventilation settings for underground projects by conducting secondary internal environment detection, analyzing the environmental status based on the detection data, and confirming the ventilation mode and ventilation setting indicators, thereby effectively solving the current problem of unclear energy-saving effects, avoiding the lack of flexibility in the current integrated control, and minimizing energy waste in the actual operation process.

[0024] (2) The present invention effectively solves the problem of insufficient coverage of current environmental monitoring by setting up a mobile environmental monitoring terminal to perform patrol environmental monitoring, makes up for the shortcomings of current fixed installation positions and fixed detection points, improves the representativeness of detection data, and also breaks the limitations of current detection data.

[0025] (3) The present invention confirms the working scene based on the collected images and judges the ventilation warning needs based on the targeted working scene and the oxygen concentration installed at each detection point. It makes up for the lack of safety considerations in the current underground ventilation control, fully combines the specific conditions of the underground pipeline and makes targeted safety judgments, avoids the comparison deviation of only using a fixed comparison value comparison method, ensures the reliability of the comparison results, and effectively reduces the probability of missed warnings or false warnings.

[0026] (4) When the present invention performs environmental status analysis, targeted environmental anomaly factors are set according to the number of deviation environmental indicators corresponding to the pipeline section and the set deviation limiting conditions. This can accurately determine the specific aspects of the abnormal environment in the pipeline, and then better assess these risks, providing a reliable data basis for the subsequent selection of ventilation modes and other aspects, thereby promoting the scientificity and rationality of ventilation control in underground projects.

[0027] (5) The present invention makes up for the shortcomings in optimizing the energy efficiency of underground ventilation control by confirming the ventilation mode and the ventilation setting indicators under the corresponding ventilation mode, effectively integrates the environmental conditions inside the underground project, and realizes precise fan control analysis, thereby achieving maximum energy saving as much as possible on the basis of ensuring ventilation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0029] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0030] Figure 2 It is a schematic diagram of the connection of the system modules of the present invention.

[0031] Figure 3 It is a schematic diagram of the structural composition of the ventilation equipment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in 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. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1

[0034] See also Figure 1 As shown, the present invention provides an intelligent ventilation control method for underground engineering, the method comprising: S1, a primary detection of the internal environment: starting each camera installed in the underground pipeline to collect images to obtain each collected image, and at the same time starting the gas sensor installed at each detection point in the underground pipeline to perform real-time detection of oxygen concentration to obtain the real-time oxygen concentration corresponding to each detection point.

[0035] S2. Ventilation warning judgment: judge the ventilation warning demand. If it is judged as a demand warning, start the alarm terminal and alarm, otherwise proceed to the next step.

[0036] S3. Secondary detection of internal environment: Start the mobile environment detection terminal installed in each pipeline section in the underground pipeline to conduct patrol environment detection, and obtain the environmental information corresponding to each detection point in each pipeline section.

[0037] S4. Internal environmental status analysis: Based on the data detected in step S3, the environmental status analysis in each pipeline section is performed, and the environmental anomaly index in each pipeline section is output.

[0038] S5. Confirmation of ventilation settings: Import the setting information of each ventilation opening, confirm the ventilation mode in the underground pipeline and confirm the ventilation setting indicators under the corresponding ventilation mode. The ventilation mode includes overall ventilation and local ventilation.

[0039] S6. Ventilation control execution: based on the ventilation setting index in the ventilation mode, the ventilation control terminal corresponding to the ventilation port is started to perform ventilation control.

[0040] The embodiment of the present invention realizes targeted ventilation settings for underground projects by conducting secondary internal environment detection, analyzing the environmental status based on the detection data, and confirming the ventilation mode and ventilation setting indicators, effectively solving the current problem of unclear energy-saving effects, avoiding the lack of flexibility in current integrated control, and minimizing energy waste in the actual operation process.

[0041] The judgment of ventilation warning demand in step S2 includes: S21, identifying each collected image by image recognition technology. If there is a person in a collected image, the ventilation scene is an operation scene. If there is no person in any collected image, the ventilation scene is an unmanned scene.

[0042] S22. Calculate the average of the real-time oxygen concentrations corresponding to each detection point to obtain the average detected oxygen concentration, and determine whether the average oxygen concentration exceeds the upper limit of the reference oxygen concentration range. If so, use the demand warning as the determination result.

[0043] S23. If not, when the ventilation scene is an unmanned scene and the average oxygen concentration is lower than the lower limit of the reference oxygen concentration range, the demand warning is used as the judgment result.

[0044] S24. When the ventilation scene is a scene with people, the lowest oxygen concentration is selected from the real-time oxygen concentrations corresponding to each detection point, and the oxygen concentration change curve of each detection point is constructed with time as the horizontal axis and oxygen concentration as the vertical axis. The slope of the curve is extracted, and the mode is selected from the slopes of the curves of each detection point as a reference oxygen concentration change rate.

[0045] S25. If the reference oxygen concentration change rate is less than the set reference oxygen concentration change rate, compare the minimum oxygen concentration with the set safe oxygen concentration. If the minimum oxygen concentration is less than the set safe oxygen concentration, use the demand warning as the judgment result.

[0046] It should be added that the slope of the curve refers to the slope of the regression line corresponding to the curve, and the image recognition technology is a relatively mature technology available, and its specific recognition process will not be repeated here.

[0047] In a specific embodiment, the reference oxygen concentration interval may be [19.5%, 23.5%], the set safe oxygen concentration may be 21%, and the set reference oxygen concentration change rate may be 0.

[0048] It should be noted that direct monitoring and alarming of oxygen content can quickly identify problems related to oxygen supply and consumption in the ventilation system. When the oxygen concentration is abnormal, it is likely that the oxygen supply is insufficient due to poor ventilation, or there is an abnormal source of oxygen consumption, such as fire hazards, chemical reactions, etc. This clear directionality helps to quickly take targeted measures and improve the efficiency of problem solving. At the same time, compared with direct detection of air quality for alarm, the false alarm rate of oxygen content alarm is relatively low. Air quality is a comprehensive indicator that is affected by many factors, such as dust, harmful gases, odors, etc. These factors may cause air quality alarms to be triggered frequently, but they do not necessarily mean that there are serious problems with the ventilation system. The oxygen content alarm focuses more on the core function of the ventilation system-providing sufficient oxygen, reducing false alarms caused by other factors, and in some special environments such as underground projects, abnormal oxygen content may mean the occurrence of an emergency. For example, when the oxygen concentration is too low, it may cause suffocation of personnel. When the oxygen concentration is too high, there may be a risk of fire or explosion. By setting an oxygen content alarm, an alarm can be issued at the first time to remind personnel to take emergency measures, such as evacuation, starting the emergency ventilation system, etc., to maximize the protection of personnel's life safety.

[0049] The embodiments of the present invention make up for the lack of safety considerations in current underground ventilation control by confirming the operating scene based on the collected images and judging the ventilation warning needs based on the targeted operating scene and the oxygen concentration installed at each detection point. It fully combines the specific conditions of the underground pipeline and conducts targeted safety judgments, avoids the comparison deviation of only performing a fixed comparison value comparison method, ensures the reliability of the comparison results, and effectively reduces the probability of missed warnings or false warnings.

[0050] What needs to be added about step S3 is that the mobile environment detection terminal is placed on a set slide rail and is an integrated component of multiple sensors. The specific integration includes but is not limited to temperature sensors, humidity sensors and gas sensors. The mobile environment detection terminal is set to ensure the coverage of the detection and ensure the representativeness and reliability of the detection data.

[0051] The embodiments of the present invention effectively solve the problem of insufficient coverage of current environmental detection by setting up a mobile environmental detection terminal to perform patrol environmental detection, make up for the shortcomings of current fixed installation positions and fixed detection point detection, improve the representativeness of detection data, and also break the limitations of current detection data.

[0052] The environmental status analysis in each pipeline segment in step S4 includes: S41, filtering out the temperature, humidity and concentration of each detection gas from the environmental information.

[0053] S42, traverse the temperatures corresponding to each detection point, select the lowest temperature and the highest temperature, form a detection temperature interval, and set the detection humidity interval and the concentration interval of each detection gas in the same way as the setting method of the detection temperature interval.

[0054] S43, confirm the number of deviation environmental indicators of each pipeline section. If the number of deviation environmental indicators corresponding to a pipeline section is 0, 0 is used as the environmental abnormality index of the pipeline section. Otherwise, the number of deviation environmental indicators corresponding to the pipeline section is recorded as ,Will As the environmental anomaly index corresponding to the pipeline section, denoted as , is the environmental anomaly factor, and the environmental anomaly index in each pipeline section is obtained , Indicates the pipeline segment number, , The value is 0 or .

[0055] Furthermore, in step S43, the number of deviation environmental indicators of each pipeline section is confirmed, including: the upper limit value of the detection temperature interval exceeding the upper limit value of the set corresponding reference interval is used as deviation limiting condition 1, the upper limit value of the detection humidity interval exceeding the upper limit value of the set corresponding reference interval is used as deviation limiting condition 2, and the concentration interval of a certain detection gas and the non-overlapping part of the corresponding reference interval of the detection gas are used as deviation limiting condition 3.

[0056] The number of deviation limiting conditions satisfied by each pipeline section is counted and used as the number of deviation environment indicators of each pipeline section.

[0057] In a specific embodiment, the reference interval of the detection temperature interval can be 0°C-40°C, the reference interval of the detection humidity interval can be 30%-70%, and the detection gases include but are not limited to oxygen, carbon monoxide and methane, among which the reference interval of oxygen is 19%-23.5%, the reference interval of methane is 0-5%VOL, and the reference interval of carbon monoxide is 0-30ppm, wherein %VOL represents volume percentage and ppm represents one part per million.

[0058] Furthermore, the specific setting process of the environmental anomaly factor in step S43 is as follows: R1, when the number of deviation environmental indicators of the pipeline section is 1, if the deviation limit condition 1 is met, the upper limit value of its detection temperature interval and the corresponding upper limit value of the reference interval are recorded as and ,Will As the environmental anomaly factor, .

[0059] R2, if the deviation limit condition 2 is met, the upper limit value of the detection humidity interval of the pipeline section and the upper limit value of the corresponding reference interval are recorded as and ,Will As the environmental anomaly factor, .

[0060] R3. If the deviation limit condition 3 is met, the detection gas whose concentration interval exceeds the corresponding reference interval is recorded as the deviation detection gas, the number of deviation detection gases is counted, and the overlap ratio of the concentration interval of each deviation detection gas and the corresponding reference interval is calculated, and the minimum overlap ratio is selected and recorded as , the ratio of the number of deviation detection gases to the number of detection gases is taken as the deviation detection ratio and recorded as ,Will As the environmental anomaly factor, , and are the weight coefficients of the deviation detection ratio and the coincidence ratio, .

[0061] R4. When the number of deviation environmental indicators of the pipeline section is 2 and the deviation limit conditions 1 and 2 are met, As the environmental anomaly factor, .

[0062] R5. If the deviation limit conditions 1 and 3 are met, As the environmental anomaly factor, , if the deviation limitation conditions 2 and 3 are met, As the environmental anomaly factor, .

[0063] R6. When the number of deviation environmental indicators corresponding to the pipeline section is 3, Environmental abnormality factor, denoted as , and use this setting to get the environmental anomaly factor , The value is or or or or or .

[0064] When the embodiment of the present invention performs environmental status analysis, targeted environmental anomaly factors are set according to the number of deviation environmental indicators corresponding to the pipeline segment and the set deviation limit conditions. This can accurately determine the specific aspects of the abnormal environment in the pipeline, and then better evaluate these risks, providing a reliable data basis for subsequent selection of ventilation modes and other aspects, and promoting the scientificity and rationality of ventilation control in underground projects.

[0065] It should be added that when calculating the overlap ratio between the concentration interval of the deviation monitoring gas and the corresponding reference interval in step R3, the length of the overlap interval and the length of the concentration interval of the deviation detection gas are recorded, wherein the calculation formula of the overlap ratio is:

[0066] .

[0067] It should also be added that the deviation monitoring ratio described in step R3 reflects the proportion of deviations in all monitored gases. A higher deviation monitoring ratio means that more gases are in an abnormal state. In some application scenarios, such as underground pipelines, although the concentration deviation of a single gas is not particularly serious, if multiple gases deviate at the same time, it may indicate that there are potential problems in the system, and the overlap ratio reflects the degree of overlap between the monitored gas concentration interval and the reference interval. A smaller overlap ratio means that the monitored gas concentration deviates from the normal range to a greater extent, which may pose a greater threat to environmental safety and equipment operation. Therefore, the environmental anomaly factor is set from two dimensions: the degree of overlap with the reference and the deviation ratio. In some high-risk environments, even if only a few gases deviate, if the concentration of these gases seriously exceeds the normal range, it may cause serious safety accidents. Therefore, the overlap ratio is more important, and the weight coefficient of the overlap ratio is set higher than the weight coefficient of the deviation monitoring ratio. For example, The value can be 0.4. The value can be 0.6.

[0068] The setting information about the ventilation opening in step S5 includes the location of the associated ventilation area and the like.

[0069] Regarding confirming the ventilation mode in the underground pipeline in step S5, it includes: E1. Counting the number of pipeline sections with environmental anomaly index greater than 0, dividing the number by the number of pipeline sections, and recording the ratio as the benchmark anomaly ratio.

[0070] E2. Count the number of pipeline sections whose environmental anomaly index is greater than the set reference abnormal environmental index, and divide it by the number of pipeline sections. The ratio is recorded as the concern anomaly ratio.

[0071] E3. Calculate the standard deviation of the environmental anomaly index in each pipeline section as the environmental difference in the underground pipeline.

[0072] E4. If the environmental difference in the underground pipeline is less than or equal to the set reference difference, and at the same time, the baseline anomaly ratio or the focus anomaly ratio is greater than the corresponding set reference value, overall ventilation is used as the ventilation mode.

[0073] E5. If the environmental difference in the underground pipeline is greater than the set reference difference, local ventilation will be used as the ventilation mode.

[0074] In a specific embodiment, the reference difference value can be set to 0.3, and the reference value of the reference abnormality ratio can be set to The reference value of the abnormal ratio is , set the reference abnormal environment index to 0.5.

[0075] It should be added that the underground pipeline environment is complex, and harmful gas leakage and excessive temperature may occur. Through a reasonable ventilation mode, the concentration of harmful gases can be effectively reduced, the environmental risks can be controlled within a safe range, and the life safety of workers in the pipeline can be guaranteed. At the same time, a good ventilation environment helps to protect the infrastructure in the pipeline. Different environmental conditions, such as high humidity and highly corrosive gas environments, can cause corrosion, aging and other damage to facilities such as cables and pipelines. In addition, the equipment in the pipeline, such as monitoring systems and lighting systems, needs to operate normally under suitable environmental conditions. Ventilation can maintain stable temperature and humidity and prevent equipment from malfunctioning due to overheating, moisture and other factors. For example, in a high temperature environment, the electronic components of the monitoring equipment may be damaged due to poor heat dissipation, affecting the real-time monitoring function of the pipeline, so the ventilation mode needs to be set.

[0076] Understandably, the baseline anomaly ratio is an indicator that can reflect the prevalence of environmental anomalies in the pipeline. By counting the ratio of the number of pipeline sections with an environmental anomaly index greater than 0 to the total number of pipeline sections, we can quickly understand how many parts of the pipeline have abnormal conditions. For example, in a long underground pipeline, if the baseline anomaly ratio reaches a certain value, it means that there may be certain problems in the internal environment of the underground project, which provides a basis for the preliminary judgment of the ventilation mode.

[0077] Understandably, the attention anomaly ratio focuses on the pipeline section where the environmental anomaly index is greater than the set reference anomaly index. The environmental problems in this part of the pipeline section may be more serious. For example, when the environmental anomaly index is a measure of the concentration of harmful gases, a high attention anomaly ratio indicates that the concentration of harmful gases in more pipeline sections has reached a relatively dangerous level. This parameter helps to determine the key areas of ventilation.

[0078] It can also be understood that the environmental difference can well reflect the uniformity of the environment in the pipeline. If the standard deviation is small, it means that the environmental anomalies of each pipeline section are relatively close, and overall ventilation can improve the environment more evenly. For example, in a pipeline where the temperature in each area rises slightly but the difference is not large, overall ventilation can effectively reduce the overall temperature. When the environmental difference is greater than the set reference difference, it indicates that the environmental differences in different areas of the pipeline are large. At this time, local ventilation can be used to carry out targeted ventilation according to the actual conditions of different areas, avoiding over-ventilation in areas with normal environments or milder anomalies, thereby improving ventilation efficiency, saving energy, and more effectively solving environmental anomalies. Therefore, the three parameters of environmental difference, baseline anomaly ratio and attention anomaly ratio are selected to confirm the ventilation mode.

[0079] Regarding the ventilation setting indicators for the corresponding ventilation mode confirmed in step S5, including: H1, if the ventilation mode is overall ventilation, set the ventilation compensation factor, recorded as .

[0080] H2, record the preset initial ventilation opening degree as ,Will It serves as the adjustment opening and closing value of each vent, and then as the ventilation setting indicator in the overall ventilation mode.

[0081] H3. If the ventilation mode is local ventilation, the associated ventilation area position is extracted from the setting information of each ventilation opening, and each activated ventilation opening is confirmed based on the pre-set ventilation confirmation rules.

[0082] H4. If the location of the associated ventilation area corresponding to a certain ventilation opening is located in a certain pipe segment, the pipe segment shall be used as the management pipe segment corresponding to the ventilation opening.

[0083] H5. Filter out the maximum environmental anomaly index from the environmental anomaly indexes of each management pipeline section corresponding to each start-up vent, and record it as , Indicates the start vent number. , calculate the adjustment opening and closing value of each start vent , , is a natural constant, As an indicator of ventilation settings under local ventilation.

[0084] Furthermore, the setting of the ventilation compensation factor in step H1 includes: recording the reference abnormality ratio and the concern abnormality ratio as and , calculate the average value of the environmental anomaly index of each pipeline section, and obtain the average environmental anomaly index, which is recorded as .

[0085] Setting the ventilation compensation factor , , , and are the weight coefficients of the benchmark anomaly ratio, the concern anomaly ratio and the average environmental anomaly index, and They are the referenced baseline abnormality ratio and the concerned abnormality ratio.

[0086] It should be added that the concern anomaly ratio is the ratio of the number of pipeline sections whose statistical environmental anomaly index is greater than the set reference anomaly index to the total number of pipeline sections. This ratio reflects the proportion of pipeline sections with more serious anomalies, that is, those that exceed the set reference anomaly index. When this ratio increases, it means that there may be relatively high risks. The benchmark anomaly ratio is the ratio of the number of pipeline sections whose environmental anomaly index is greater than 0 to the total number of pipeline sections. It reflects the existence of abnormal conditions, and this ratio can reflect the overall health of the pipeline to a certain extent. The environmental anomaly index itself is only an indicator for a single pipeline section. It is a specific value to measure the degree of environmental anomaly in a pipeline section. A single environmental anomaly index cannot well reflect the overall status of the entire pipeline. The weight coefficient of the concern anomaly ratio > the weight coefficient of the benchmark anomaly ratio > the weight coefficient of the environmental anomaly index. For example, , and The possible values ​​are 0.5, 0.3 and 0.2 respectively.

[0087] Furthermore, the specific confirmation process of confirming each activated vent based on the preset confirmation rules in step H3 is as follows: H31. Integrate the vents of the same pipeline segment to obtain the vents in each pipeline segment.

[0088] H32. If the environmental anomaly index of a certain pipeline section is greater than 0 and less than or equal to the reference abnormal environmental index, when the number of vents in the pipeline section is 1, the vent is recorded as the starting vent; when the number of vents in the pipeline section is greater than 1, the associated ventilation area positions of each vent in the pipeline section are marked at the pipeline section position to obtain the marked ventilation area area, and the vent with the largest marked ventilation area area is recorded as the starting vent; if the marked ventilation area areas of all vents in the pipeline section position are equal, calculate the distance between the corresponding ventilation area positions of each vent and the center point of the pipeline section, and select the vent with the shortest distance as the starting vent; if there are multiple vents with the shortest distance, randomly select one vent from the multiple vents with the shortest distance as the starting vent;

[0089] H33. If the abnormal environment index of a certain pipeline section is greater than the reference abnormal environment index, the ventilation start-up ratio of the pipeline section is calculated, where the calculation formula of the ventilation start-up ratio is: .

[0090] H34. Calculate the number of start-up vents. The calculation formula for the number of start-up vents is:

[0091] , The round-up symbol.

[0092] H35. Sort the vents in the pipe section from large to small according to their ventilation area in the pipe section to obtain the ventilation area sorting, and record the number of activated vents as , filter out the top rankings from the ventilation area rankings Each ventilating opening at a certain position shall be used as a starting ventilating opening.

[0093] It should be added that the ventilation opening degree mainly refers to the degree of opening of the vents, ventilation equipment valves, etc. It determines the size of the cross-sectional area of ​​the ventilation channel, thereby affecting the air circulation. For example, the opening and closing angle of the ventilation shutters directly affects the flow of air entering the pipeline. Reasonable adjustment of the ventilation opening degree is an important means to control ventilation efficiency. When the environmental abnormalities in the pipeline are relatively mild and only a small amount of ventilation is needed to maintain a good environment, appropriately reducing the ventilation opening degree can save energy while ensuring the ventilation effect. For example, in a pipeline section that is operating normally and the environmental indicators are close to the normal range, reducing the opening degree of the vents can reduce unnecessary air exchange.

[0094] It should also be added that when the environmental abnormality in the pipeline is relatively minor and only a small amount of ventilation is needed to maintain a good environment, appropriately reducing the ventilation opening can save energy while ensuring the ventilation effect. For example, in a pipeline section that is operating normally and the environmental indicators are close to the normal range, reducing the opening of the vents can reduce unnecessary air exchange. When an emergency occurs in the pipeline, such as a serious leak of harmful gases that requires rapid ventilation, opening the ventilation opening to the maximum can enable the ventilation system to reach the maximum ventilation volume in a short time and improve ventilation efficiency.

[0095] The embodiment of the present invention makes up for the shortcomings in the optimization of energy efficiency of underground ventilation control by confirming the ventilation mode and the ventilation setting indicators under the corresponding ventilation mode, effectively integrates the environmental conditions inside the underground project, and realizes precise fan control analysis, thereby achieving maximum energy saving as much as possible while ensuring ventilation efficiency.

[0096] Embodiment 2

[0097] See also Figure 2 As shown, the present invention provides an intelligent ventilation control system for underground engineering, including an environmental preliminary detection module, a ventilation early warning judgment module, an environmental secondary detection module, an environmental status analysis module, a ventilation setting confirmation module and a ventilation control execution terminal.

[0098] In the above, the ventilation warning judgment module is connected to the environmental preliminary detection module and the environmental secondary detection module respectively, the environmental status analysis module is connected to the environmental secondary detection module and the ventilation setting confirmation module respectively, and the ventilation setting confirmation module is also connected to the ventilation control execution terminal.

[0099] The preliminary environmental detection module is used to start the cameras installed in the underground pipeline to collect images, and to start the gas sensors installed in each detection point in the underground pipeline to perform real-time detection of oxygen concentration, so as to obtain the oxygen concentration detected corresponding to each detection point.

[0100] The ventilation warning judgment module is used to judge the ventilation warning demand. If it is judged as a demand warning, the alarm terminal is started to issue a ventilation alarm.

[0101] The secondary environmental detection module is used to start the mobile environmental detection terminal installed in each corresponding pipeline section in the underground pipeline to perform patrol environmental detection when a ventilation alarm is issued, so as to obtain the environmental information corresponding to each detection point in each pipeline section.

[0102] The environmental status analysis module is used to analyze the environmental status in each pipeline segment and output the analyzed environmental status index in each pipeline segment.

[0103] The ventilation setting confirmation module is used to import the setting information of each ventilation opening, confirm the ventilation mode in the underground pipeline and confirm the ventilation setting indicators under the corresponding ventilation mode.

[0104] The ventilation control execution terminal is used to start the ventilation control terminal corresponding to the ventilation port to perform ventilation control based on the ventilation setting index in the ventilation mode.

[0105] Embodiment 3

[0106] See also Figure 3 As shown, the present invention provides a ventilation device, including a processor and a memory for storing execution instructions of the processor, wherein the processor is configured to execute an intelligent ventilation control method for underground engineering described in the present invention.

[0107] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent ventilation control method for underground engineering, characterized in that: include: S1. One-time detection of internal environment: Start the cameras installed in the underground pipeline to collect images and obtain the collected images. At the same time, start the gas sensors installed at the detection points in the underground pipeline to detect the oxygen concentration in real time and obtain the real-time oxygen concentration corresponding to each detection point. S2. Ventilation warning judgment: judge the ventilation warning demand. If it is judged as a demand warning, start the alarm terminal and alarm, otherwise proceed to the next step; S3. Secondary detection of internal environment: Start the mobile environment detection terminal placed in each pipeline section in the underground pipeline to conduct patrol environment detection, and obtain the environmental information corresponding to each detection point in each pipeline section; S4, internal environmental status analysis: Based on the data detected in step S3, analyze the environmental status in each pipeline section and output the environmental abnormality index in each pipeline section; S5. Confirmation of ventilation settings: import the setting information of each ventilation opening, confirm the ventilation mode in the underground pipeline and confirm the ventilation setting indicators under the corresponding ventilation mode. The ventilation mode includes overall ventilation and local ventilation; S6. Ventilation control execution: based on the ventilation setting index in the ventilation mode, the ventilation control terminal corresponding to the ventilation port is started to perform ventilation control.

2. An intelligent ventilation control method for underground engineering according to claim 1, characterized in that: The determination of ventilation warning demand includes: The collected images are identified by image recognition technology. If there is a person in a collected image, the ventilation scene is an operation scene. If there is no person in any collected image, the ventilation scene is an unmanned scene. The real-time oxygen concentration corresponding to each detection point is averaged to obtain the average detected oxygen concentration, and it is determined whether the average oxygen concentration exceeds the upper limit of the reference oxygen concentration range. If so, the demand warning is used as the judgment result; If not, when the ventilation scene is an unmanned scene and the average oxygen concentration is lower than the lower limit of the reference oxygen concentration range, the demand warning is used as the judgment result; When the ventilation scene is a scene with people, the lowest oxygen concentration is selected from the real-time oxygen concentrations corresponding to each detection point, and the oxygen concentration change curve of each detection point is constructed with time as the horizontal axis and oxygen concentration as the vertical axis. The slope of the curve is extracted, and the mode is selected from the slope of the curve of each detection point as the reference oxygen concentration change rate; If the reference oxygen concentration change rate is less than the set reference oxygen concentration change rate, the minimum oxygen concentration is compared with the set safe oxygen concentration. If the minimum oxygen concentration is less than the set safe oxygen concentration, the demand warning is used as the judgment result.

3. The intelligent ventilation control method for underground engineering according to claim 1, characterized in that: The environmental status analysis in each pipeline section includes: Filtering out temperature, humidity and concentration of each detected gas from the environmental information; Traverse the temperatures corresponding to each detection point, select the lowest temperature and the highest temperature, form a detection temperature range, and set the detection humidity range and the concentration range of each detection gas in the same way as the setting of the detection temperature range; Confirm the number of deviation environmental indicators of each pipeline section. If the number of deviation environmental indicators corresponding to a pipeline section is 0, 0 is used as the environmental abnormality index of the pipeline section. Otherwise, the number of deviation environmental indicators corresponding to the pipeline section is recorded as ,Will As the environmental anomaly index corresponding to the pipeline section, denoted as , is the environmental anomaly factor, and the environmental anomaly index in each pipeline section is obtained , Indicates the pipeline segment number, , The value is 0 or .

4. An intelligent ventilation control method for underground engineering as claimed in claim 3, characterized in that: The confirmation of the number of deviation environmental indicators of each pipeline section includes: The upper limit value of the detected temperature interval exceeds the upper limit value of the set corresponding reference interval as deviation limiting condition 1, the upper limit value of the detected humidity interval exceeds the upper limit value of the set corresponding reference interval as deviation limiting condition 2, and the non-overlapping part of the concentration interval of a certain detected gas and the corresponding reference interval of the detected gas is used as deviation limiting condition 3; The number of deviation limiting conditions satisfied by each pipeline section is counted and used as the number of deviation environment indicators of each pipeline section.

5. An intelligent ventilation control method for underground engineering as claimed in claim 4, characterized in that: The specific setting process of the environmental anomaly factor is as follows: When the number of deviation environmental indicators of the pipeline section is 1, if the deviation limit condition 1 is met, the upper limit value of the detection temperature interval and the upper limit value of the corresponding reference interval are recorded as and ,Will As the environmental anomaly factor, ; If the deviation limit condition 2 is met, the upper limit value of the detection humidity interval of the pipeline section and the upper limit value of the corresponding reference interval are recorded as and ,Will As the environmental anomaly factor, ; If the deviation limit condition 3 is met, the detection gas whose concentration interval exceeds the corresponding reference interval is recorded as the deviation detection gas, the number of deviation detection gases is counted, and the overlap ratio of the concentration interval of each deviation detection gas and the corresponding reference interval is calculated, and the minimum overlap ratio is selected and recorded as , the ratio of the number of deviation detection gases to the number of detection gases is taken as the deviation detection ratio and recorded as ,Will As the environmental anomaly factor, , and are the weight coefficients of the deviation detection ratio and the coincidence ratio, ; When the number of deviation environmental indicators of the pipeline section is 2, and the deviation limit condition 1 and the deviation limit condition 2 are met, As the environmental anomaly factor, ; If the deviation limit condition 1 and the deviation limit condition 3 are met, As the environmental anomaly factor, , if the deviation limitation conditions 2 and 3 are met, As the environmental anomaly factor, ; When the number of deviation environment indicators corresponding to the pipeline section is 3, Environmental abnormality factor, denoted as , and use this setting to get the environmental anomaly factor , The value is or or or or or or .

6. An intelligent ventilation control method for underground engineering as claimed in claim 3, characterized in that: The method of confirming the ventilation mode in the underground pipeline includes: Count the number of pipeline sections with an environmental anomaly index greater than 0, divide it by the number of pipeline sections, and record the ratio as the benchmark anomaly ratio; The number of pipeline sections whose environmental anomaly index is greater than the set reference abnormal environmental index is counted and divided by the number of pipeline sections, and the ratio is recorded as the concerned anomaly ratio; Calculate the standard deviation of the environmental anomaly index in each pipeline section as the environmental difference in the underground pipeline; If the environmental difference in the underground pipeline is less than or equal to the set reference difference, and at the same time, the baseline anomaly ratio or the concerned anomaly ratio is greater than the corresponding set reference value, overall ventilation is used as the ventilation mode; If the environmental difference in the underground pipeline is greater than the set reference difference, local ventilation is used as the ventilation mode.

7. An intelligent ventilation control method for underground engineering according to claim 6, characterized in that: The confirming of the ventilation setting index in the corresponding ventilation mode includes: If the ventilation mode is overall ventilation, set the ventilation compensation factor, recorded as ; The preset initial ventilation opening degree is recorded as ,Will As the adjustment opening and closing value of each vent, and then as the ventilation setting index in the overall ventilation mode; If the ventilation mode is local ventilation, the associated ventilation area position is extracted from the setting information of each ventilation opening, and each activated ventilation opening is confirmed based on the pre-set ventilation confirmation rules; If the location of the associated ventilation area corresponding to a certain vent is located in a certain pipe section, the pipe section is used as the management pipe section corresponding to the vent; The maximum environmental anomaly index is selected from the environmental anomaly indexes of each management pipeline section corresponding to each start-up vent, and recorded as , Indicates the start vent number. , calculate the adjustment opening and closing value of each start vent , , is a natural constant, As an indicator of ventilation settings under local ventilation.

8. An intelligent ventilation control method for underground engineering according to claim 7, characterized in that: The step of setting the ventilation compensation factor includes: The baseline anomaly ratio and the focus anomaly ratio are respectively and , calculate the average value of the environmental anomaly index of each pipeline section, and obtain the average environmental anomaly index, which is recorded as ; Setting the ventilation compensation factor , , , and are the weight coefficients of the benchmark anomaly ratio, the concern anomaly ratio and the average environmental anomaly index, and They are the referenced baseline abnormality ratio and the concerned abnormality ratio.

9. An intelligent ventilation control system for underground engineering, characterized in that: include: The preliminary environmental detection module is used to start the cameras installed in the underground pipeline to collect images, and to start the gas sensors installed in each detection point in the underground pipeline to detect the oxygen concentration in real time, so as to obtain the oxygen concentration detected at each detection point; The ventilation warning judgment module is used to judge the ventilation warning demand. If it is judged as a demand warning, the alarm terminal is activated to issue a ventilation alarm. The secondary environmental detection module is used to start the mobile environmental detection terminal placed in each corresponding pipeline section in the underground pipeline to conduct patrol environmental detection when a ventilation alarm is triggered, and obtain the environmental information corresponding to each detection point in each pipeline section; The environmental status analysis module is used to analyze the environmental status in each pipeline section and output the analysis environmental status indicators in each pipeline section; The ventilation setting confirmation module is used to import the setting information of each ventilation opening, confirm the ventilation mode in the underground pipeline and confirm the ventilation setting indicators under the corresponding ventilation mode; The ventilation control execution terminal is used to start the ventilation control terminal of the corresponding ventilation port to perform ventilation control based on the ventilation setting index in the ventilation mode.

10. A ventilation device, characterized in that: It comprises a processor and a memory for storing execution instructions of the processor, wherein the processor is configured to execute an intelligent ventilation control method for underground engineering as described in any one of claims 1-8.

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