Limited space toxic gas ventilation intelligent sensing regulation and control system and method

Abstract

The invention discloses a limited space toxic gas ventilation intelligent sensing regulation and control system and method, and relates to the technical field of gas monitoring, and the system comprises a toxic gas layering identification module, a shielding direction judgment module, a fan cover jump execution module, a wind source angle synchronization module and a ventilation path extension module. According to the method, the poison gas gathering layer position is recognized through concentration change direction comparison, the ventilation interference angular domain is judged by combining the pointing relation of the fan covers in the space and the airflow deviation characteristics, the jump direction combination with the differential ventilation capacity is constructed according to the angle relation between the fan covers, and the shielding condition and the airflow path in the ventilation pipeline are extracted; the ventilation direction which is not blocked by the structure and penetrates through the poison gas gathering area is screened, a ventilation regulation and control mechanism with direction linkage, angle matching, channel screening and path penetrating capacity is pushed to be formed, and the perceptual response capacity to the poison gas diffusion trend in a closed or multi-scene structure environment and the applicability of local ventilation treatment are enhanced.

Description

Technical Field

[0001] This invention relates to the field of gas monitoring technology, and in particular to an intelligent sensing and control system and method for ventilation of toxic gases in confined spaces. Background Technology

[0002] The field of gas monitoring technology involves a set of technologies for collecting, detecting, analyzing, and determining the state of target gas components in the air. This field includes the deployment method of gas concentration collection devices, detection principles, signal acquisition paths, data interpretation rules, and threshold determination mechanisms. Typically, electrochemical sensors, semiconductor sensors, and infrared sensors are deployed in specific spatial locations to periodically or continuously sample the volume fraction of gases such as oxygen, hydrogen sulfide, and carbon monoxide, and output gas state information based on preset concentration thresholds. This field is widely used in industrial safety operation space environmental risk assessment and emergency response scenarios.

[0003] Among them, the traditional intelligent sensing and control system and method for ventilation of toxic gases in confined spaces refers to the problem of toxic gas accumulation in confined spaces such as underground pipe corridors, storage tanks, well chambers, and cabins. It collects gas concentration data by setting fixed or mobile gas sensors in the space, compares the collected results with a preset concentration level table, and triggers the operation of ventilation devices when the detected value exceeds the set threshold. The ventilation devices usually include fans, air ducts, and air covers. The ventilation method is selected based on experience to select the air supply or exhaust path. The control logic mostly adopts start and stop judgment based on a single concentration threshold and performs ventilation treatment according to fixed air volume, air direction, and running time.

[0004] Existing sampling logic fails to analyze the distribution layers of toxic gases in vertical structures, resulting in a disconnect between collected data and spatial layer relationships. This can easily lead to blind spots in locations with complex spatial structures or significant height variations. Airflow control does not cover the identification of obstruction directions, making it impossible to determine whether there is directional interference at the air hood outlet. Ventilation actions rely on a single threshold trigger condition and lack the ability to adjust accordingly. Angle differences cannot be used to build a coordinated adjustment strategy. When faced with multiple sources of toxic gases or coexisting structural obstructions, it is unable to identify effective penetration paths, resulting in insufficient directional dispersion of toxic gases, failure to avoid airflow obstructions, and difficulty in timely handling of contaminated areas, thus reducing the efficiency of safety and prevention response in confined spaces. Summary of the Invention

[0005] To address the technical problems existing in the prior art, embodiments of the present invention provide a confined space toxic gas ventilation intelligent sensing and control system and method, the technical solution of which is as follows: On the one hand, a confined space toxic gas ventilation intelligent sensing and control system is provided, including: The toxic gas stratification identification module obtains the sampling probe positions of the space cabin bottom, sinking operation layer and closed transition section, calls the gas sensor to read the concentration, compares the direction of adjacent points, locates the height of the hood corresponding to the concentration change area, and obtains the set of ventilation jet influence numbers. The obstruction direction determination module extracts the front angular information of the airflow based on the set of ventilation jet influence numbers, calls the direction offset data of the sensor plate, compares the airflow direction with the axis of the hood, and obtains the hood direction interference indicator. The hood jump execution module retrieves the hood angular position based on the hood directional interference identifier, extracts the diffusion directional angular domain range, reads the directional blocking structure and airflow path status, and obtains the hood jump execution action group. The wind source angle synchronization module, based on the wind cover jump execution action group, obtains the angle range between wind covers, identifies the numbered combination with an angle lower than the reference value, and adjusts the wind cover direction corresponding to the number in the opposite direction to obtain the wind source linkage adjustment list. The ventilation path extension module, based on the air source linkage adjustment list, extracts the area covered by the hood, compares the location of the toxic gas diffusion area, removes non-intersecting directions, and obtains the spatial toxic gas linkage ventilation status.

[0006] As a further embodiment of the present invention, the ventilation jet influence number set includes abrupt change position height, corresponding position of the jet surface, and adjacent sampling point number; the hood direction interference identifier includes hood number, directional offset change, air outlet axis relationship, and airflow return angle domain; the hood jump execution action group includes jump hood number, variable angle position, channel obstruction status, and channel deviation analysis results; the air source linkage adjustment list includes hood number, angle value, hood included angle range, and included angle reference value comparison results; and the space toxic gas linkage ventilation status includes hood number, pointing angle, covered space area, toxic gas diffusion position relationship, and ventilation penetration tracking status.

[0007] As a further aspect of the present invention, the sampling probe position of the closed transition section refers to the probe arrangement point used to obtain toxic gas concentration monitoring data of the closed transition section in the vertical space structure. The axis of the hood refers to the central axis of the hood's airflow direction.

[0008] As a further aspect of the present invention, the angular position of the wind shroud refers to the current air jet angle value of the wind shroud in space; The diffusion direction angular range refers to the spatial angular range of toxic gas diffusion.

[0009] As a further aspect of the present invention, the toxic gas layer identification module includes: The probe number parsing submodule obtains the sampling probe numbers and locations arranged in the space cabin bottom, sinking operation layer, and closed transition section, matches the coordinate data corresponding to the number with the layer position of the area, and obtains the set of sampling point locations in the three layers of space according to the corresponding numbers and spatial positions of the spatial layer structure. The concentration change comparison submodule analyzes the concentration change direction of adjacent positions based on the real-time concentration data of the gas sensor at the corresponding number of the three-layer spatial sampling point location set. It takes the continuous area where the change direction reverses as the data jump segment, locates the target area of ​​concentration trend difference, and obtains the concentration change sudden location set. The shielding number set verification submodule, based on the spatial height data of the concentration change sudden location set, intersects the corresponding vertical position with the installation height range of the wind hood spray surface, and extracts the probe number information corresponding to the current monitoring point according to the number range in the intersecting area to obtain the ventilation jet influence number set.

[0010] As a further aspect of the present invention, the occlusion direction determination module includes: The hood numbering and positioning submodule, based on the ventilation jet influence number set, tracks the coordinate data position of the area directly in front of the hood outlet corresponding to the number, extracts the spatial angular range in the area in the direction consistent with the hood axis, and obtains the angular information set in front of the hood. The angular offset analysis submodule, based on the airflow disturbance sensor output data in the direction corresponding to the angular information set in front of the wind hood, retrieves the directional offset change according to the sensor distribution sequence, determines the angular directionality between the airflow offset direction and the wind hood outlet axis, analyzes whether there is a reverse component moving towards the wind hood, and obtains the return motion angular domain information set. The interference direction identification submodule extracts the overlapping angle portion from the angular information set in front of the hood based on the angular range corresponding to the return motion angular domain information set, retrieves the air outlet direction data with the corresponding number, sets the corresponding direction as the ventilation interference area, and obtains the hood direction interference identifier.

[0011] As a further aspect of the present invention, the windshield jump execution module includes: The angular state extraction submodule retrieves the current pointing value of the corresponding angular component of the hood based on the number list in the hood directional interference identifier, collects the spatial position of adjacent angles in the concentration diffusion direction data, and obtains the hood angular pointing information set based on the corresponding angular data. The channel direction comparison submodule, based on the angle value of the wind hood angular direction information set, corresponds to the obstruction status and airflow status in the space where the query direction is located, compares the airflow status, identifies the angular items where no jet flow is blocked, and obtains the passage direction data sequence. The jump action output submodule detects the angle between the current angular pointing value of the hood and the travel direction based on the steerable items in the travel direction data sequence, and performs a jump according to the hood control interface to obtain the hood jump execution action group.

[0012] As a further aspect of the present invention, the wind source angle synchronization module includes: The hood angle extraction submodule retrieves the current air outlet angle of adjacent hoods based on the hood number and angle value in the hood jump execution action group, reads the angular direction values ​​between adjacent number pairs, analyzes the angular direction changes between hoods in sequence, and obtains the hood angular direction pairing dataset. The included angle range screening submodule, based on the angle values ​​in the wind hood angle pairing dataset, and referring to the set angle reference range, analyzes the angle change state, selects the number combinations whose values ​​fall into the reference interval, and obtains the included angle critical number combination set; The direction linkage adjustment submodule retrieves the current air outlet direction parameters based on the hood number in the set of critical angle numbers, performs a direction reverse offset operation, replaces the original angle data with the adjustment result, and obtains the air source linkage adjustment list.

[0013] As a further aspect of the present invention, the ventilation path extension module includes: The wind cover coverage area extraction submodule, based on the wind cover number and pointing angle in the wind source linkage adjustment list, collects the coverage fan-shaped range of the wind cover direction in the plane coordinate system, and extracts the spatial boundary coordinate information of the wind cover corresponding to the current angle downward in the order of numbering to obtain the wind cover direction coverage boundary dataset. The gas location overlap detection submodule extracts the boundary coordinate values ​​of the gas coverage area under the plane coordinate axis based on the wind hood direction coverage boundary dataset, and detects the coordinate intersection information between the boundary data according to the wind hood direction coverage boundary dataset to obtain the penetration relationship identification result set. The ventilation path filtering submodule, based on the identified results set of the through-connection relationship, stops the current air outlet action of the hood number where no intersection was detected, updates the current ventilation status of the number, and obtains the space toxic gas linkage ventilation status.

[0014] On the other hand, a method for intelligent sensing and control of ventilation of toxic gases in confined spaces is provided. This method is based on the aforementioned intelligent sensing and control system for ventilation of toxic gases in confined spaces and includes the following steps: S1: Obtain the sampling probe positions of the space cabin bottom, sinking operation layer and closed transition section, call the gas sensor to read the concentration, compare the direction of adjacent points before and after, locate the height of the hood corresponding to the concentration change area, and obtain the set of ventilation jet influence numbers; S2: Based on the set of ventilation jet influence numbers, extract the front angle information of the airflow, call the sensor plate direction offset data, compare the airflow direction with the hood axis, and obtain the hood direction interference indicator. S3: Based on the wind hood directional interference identifier, retrieve the wind hood angular position, extract the diffusion direction angular domain range, read the directional blocking structure and airflow path status, and obtain the wind hood jump execution action group; S4: Based on the wind hood jump execution action group, obtain the angle range between wind hoods, identify the number combination with an angle lower than the reference value, adjust the wind hood direction corresponding to the number in the opposite direction, and obtain the wind source linkage adjustment list; S5: Based on the aforementioned air source linkage adjustment list, extract the area covered by the hood, compare the location of the toxic gas diffusion area, remove non-intersecting directions, and obtain the spatial toxic gas linkage ventilation status.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, the accumulation layer of toxic gas is identified by comparing the direction of concentration change. The ventilation interference angle region is determined by combining the directional relationship of the wind hood in space and the airflow deviation characteristics. Based on the angular relationship between the wind hoods, a combination of jumping directions with differentiated ventilation capabilities is constructed. The obstruction situation and airflow path in the ventilation duct are extracted. The ventilation direction that is not blocked by the structure and runs through the toxic gas accumulation area is selected. This promotes the formation of a ventilation control mechanism with directional linkage, angle coordination, channel screening and path penetration capabilities, and enhances the perception and response capability of toxic gas diffusion trend and the applicability of local ventilation treatment in closed or multi-scenario structural environments. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a system block diagram of the present invention; Figure 3 This is a flowchart of the poison gas layer identification module in this invention; Figure 4 This is a flowchart of the occlusion direction determination module in this invention; Figure 5 This is a flowchart of the wind shield jump execution module in this invention; Figure 6 This is a flowchart of the wind source angle synchronization module in this invention; Figure 7This is a flowchart of the ventilation path extension module in this invention; Figure 8 This is a flowchart of the method steps of the present invention. Detailed Implementation

[0018] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0019] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0020] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0021] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0022] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0023] This invention provides an intelligent sensing and control system for ventilation of toxic gases in confined spaces, such as... Figure 1-2 The diagram shown illustrates a confined space toxic gas ventilation intelligent sensing and control system. This system includes: The toxic gas stratification identification module obtains the sampling probe numbers and locations arranged in the space cabin bottom, sinking operation layer, and closed transition section, calls the gas sensors of each layer to read the current concentration change status, compares the numerical direction of adjacent sampling points, identifies the location range of sudden changes, and compares the height corresponding to the range with the position of the wind hood spray surface to obtain the ventilation jet influence number set. The obstruction direction judgment module extracts the spatial angular information corresponding to the area directly in front of the air outlet of the air hood based on the number of the air hood in the set of ventilation jet influence numbers, retrieves the directional offset change collected by the airflow disturbance sensor in the direction, compares the relationship between the airflow direction and the air outlet axis of the air hood, determines whether the airflow has a movement trajectory that returns to the air hood, and determines the air outlet direction of the obstructed ventilation based on the angular domain where the return direction is located, thus obtaining the air hood directional interference mark. The hood jump execution module retrieves the current pointing value of the connected hood angular component based on the number list in the hood direction interference identifier, calls the concentration diffusion direction data to map the adjacent variable angle position, compares the deviation between the directions of the injectable channel with the obstruction information and airflow conditions in each direction, analyzes the directions that are not blocked in the structure, and obtains the hood jump execution action group. The wind source angle synchronization module retrieves the current air outlet angle of adjacent wind hoods based on the wind hood jump execution action group's wind hood number and angle value, obtains the angle range between wind hoods, identifies number combinations with angles lower than the reference value, reverses the direction of the wind hood corresponding to the number, updates the adjusted direction information, and obtains the wind source linkage adjustment list. The ventilation path extension module analyzes the spatial area covered by the corresponding direction of the hood based on the hood number and pointing angle in the air source linkage adjustment list, retrieves the hood direction coverage boundary dataset, compares the boundary relationship of the two sets of areas on the plane, tracks whether the hood direction penetrates the toxic gas accumulation area, stops the direction that does not penetrate, and obtains the spatial toxic gas linkage ventilation status.

[0024] The ventilation jet impact number set includes the height of the sudden change position, the corresponding position of the jet surface, and the number of adjacent sampling points. The hood direction interference identifier includes the hood number, directional offset change, air outlet axis relationship, and airflow return angle domain. The hood jump execution action group includes the jump hood number, variable angle position, channel obstruction status, and channel deviation analysis results. The air source linkage adjustment list includes the hood number, angle value, hood angle range, and angle reference value comparison results. The space toxic gas linkage ventilation status includes the hood number, pointing angle, covered space area, toxic gas diffusion position relationship, and ventilation penetration tracking status.

[0025] Specifically, such as Figure 2 , 3 As shown, the toxic gas layer identification module includes: The probe number parsing submodule obtains the sampling probe numbers and locations arranged in the space cabin bottom, sinking operation layer, and closed transition section, matches the coordinate data corresponding to the number with the layer position of the area, and obtains the set of sampling point locations in the three layers of space according to the corresponding numbers and spatial positions of the spatial layer structure. First, the pre-entered hardware topology ledger is retrieved to identify the numbers of all sampling probes deployed throughout the large space, such as ID001 to ID120. The spatial three-dimensional coordinate data of each probe, measured during initial installation using latitude, longitude, and relative height, is retrieved from the underlying database. The vertical height parameter in each coordinate item is compared one by one with the preset spatial layering structure boundaries. In this embodiment, the sinking operation layer is defined as the deep region with a height of -6.0 meters to 0.0 meters, the intermediate transition layer is defined as 1.0 meters to 3.5 meters, and the closed transition section is defined as 3.5 meters to 8.0 meters. During the execution process, the ID045 probe with a height of -2.5 meters is automatically assigned to the sinking operation layer, while the probe with a height of 2.0 meters is assigned to the intermediate transition layer. By mapping these hundred-plus probe numbers to their layer positions, the originally scattered physical locations are integrated according to height logic, establishing a complete vertical monitoring coordinate system. This allows for the normalization and classification of all sampling points, resulting in a three-layer spatial sampling point location set.

[0026] The concentration change comparison submodule analyzes the concentration change direction of adjacent positions based on the real-time concentration data of the gas sensor at the corresponding number of the three-layer spatial sampling point location set. It takes the continuous area where the change direction reverses as the data jump segment, locates the target area of ​​concentration trend difference, and obtains the concentration change sudden location set. First, the concentration change comparison submodule retrieves real-time monitoring values ​​from each numbered probe in the aforementioned location set. During execution, multiple concentration snapshots are continuously collected at a fixed step size of 2 seconds to construct a concentration fluctuation model over time. Taking probe ID045, located in the sinking working layer, as an example, its concentration value was 12 mg / m³ at the previous sampling time, while at the current sampling time, the value jumps to 38 mg / m³, indicating a positive surge. The concentration evolution trend between adjacent probes is compared along the horizontal and vertical sequence of sampling points, and the concentration change rate per unit time is calculated. When a continuous area is found where the previous probe shows a continuous increase in concentration, while the adjacent probe shows a sudden decrease, it is determined that an extreme reversal of the concentration gradient has occurred. The execution process locks these consecutive coordinate points with reversed directions and numerical fluctuations exceeding 15 mg / m³ as data jump segments. By performing cluster analysis on all coordinate regions with abnormal trends in three-dimensional space, we can accurately locate the geographical locations where polluted air masses are violently disturbed and their diffusion trajectories change abruptly, eliminate conventional interference areas of stable diffusion, and obtain a set of locations where concentration changes suddenly occur.

[0027] The shielding number set verification submodule, based on the spatial height data of the concentration change sudden location set, intersects the corresponding vertical position with the installation height range of the wind hood spray surface, extracts the probe number information corresponding to the current monitoring point according to the number range in the intersecting area, and obtains the ventilation jet influence number set; First, the shielding number set verification submodule retrieves vertical height data from the concentration change abrupt change location set and simultaneously searches for the real-time installation physical parameters of the hood's spray surface in the ventilation system to eliminate false monitoring interference caused by environmental dynamics. During execution, the center height of the hood's spray nozzle on the vertical axis is extracted as 1.8 meters. Combined with the current fan speed parameters and the nozzle's hydrodynamic diffusion characteristics, the effective physical influence thickness of the jet in the vertical direction is determined to be 0.5 meters, establishing a jet interference range extending from 1.55 meters to 2.05 meters. The height coordinates of each probe in the abrupt change location set are geometrically cross-compared with this jet interference range to determine if the probe is within the horizontal coverage path of the hood's spray surface. If the height coordinate of the ID050 probe is exactly 1.7 meters, and its horizontal distance is within the effective dynamic pressure range of the hood's jet, then the resulting concentration change is determined to be caused by physical shielding due to the instantaneous impact of the hood's jet or the dilution effect of high-speed airflow, rather than a genuine fluctuation caused by a toxic gas source leak. By extracting all probe information affected by equipment operation based on the coordinate index within the intersection area, and removing monitoring artifacts, a set of ventilation jet influence numbers is obtained.

[0028] Specifically, such as Figure 2 , 4 As shown, the occlusion direction determination module includes: The hood numbering and positioning submodule, based on the ventilation jet influence number set, tracks the coordinate data position of the area directly in front of the hood outlet corresponding to the number, extracts the spatial angular range in the area consistent with the hood axis, and obtains the angular information set in front of the hood. First, the hood numbering and positioning submodule, based on the aforementioned set of ventilation jet influence numbers, uses a reverse indexing mechanism to locate the hood device number directly in front of the affected probe, such as hood W08. The execution process retrieves the physical installation center coordinates of W08 and the current feedback value of its yaw angle drive device, setting its current forward pointing angle to 60 degrees. Using this central axis as a reference, and based on the convergence and expansion physical characteristics of the air outlet, an initial diffusion angle of 12 degrees is extended to both sides, thus constructing a fan-shaped effective area with a total angle of 24 degrees. The execution process continuously tracks the physical envelope range of this fan-shaped area extending 10 meters forward in the horizontal coordinate system and extracts all corresponding angular micro-element information within this envelope plane. By performing coordinate system transformation and matching between the mechanical coordinates of the hood and the spatial distribution of probes in the environment, the physical space arc segment that the hood can affect at the current turning angle can be accurately described, establishing a dynamic mapping between the device pointing direction and the physical space in front, thus obtaining a set of angular information in front of the hood.

[0029] The angular offset analysis submodule, based on the airflow disturbance sensor output data in the direction corresponding to the angular information set in front of the hood, retrieves the directional offset change according to the sensor distribution sequence, determines the angular directionality between the airflow offset direction and the air outlet axis of the hood, analyzes whether there is a reverse component moving towards the hood, and obtains the return motion angular domain information set. First, the angular offset analysis submodule retrieves real-time feedback data from the airflow disturbance sensing panel array positioned 3 meters in front of the wind hood. The process extracts the pressure vector, deflection angle, and energy loss characteristics of each sensing panel according to their distribution sequence in the circular array, generated by the airflow impact. The direction of the actual airflow force sensed by the sensing panels is numerically compared with the preset airflow axis direction of the wind hood. If the absolute value of the angle deviation exceeds 18 degrees, it is determined that the airflow has encountered significant physical yaw on its path. Further analysis is performed on the pressure components fed back by the sensing panels, focusing on whether there is a reverse velocity vector pointing towards the wind hood inlet. When the reverse airflow velocity reaches 0.9 meters per second and lasts for more than 3 sampling cycles, it is determined that there is a force rebound phenomenon in that direction due to obstruction by large construction components or hard walls. By vectorizing the offset characteristics in the entire sensing sequence, the specific angular range of airflow obstruction and backflow is accurately identified. This process, through real-time logical judgment of the sensing data, identifies the physical spatial characteristics of airflow obstruction and obtains the backflow motion angular domain information set.

[0030] The interference direction identification submodule extracts the overlapping angles from the angle information set in front of the hood based on the angle range corresponding to the return motion angle domain information set, retrieves the air outlet direction data with the corresponding number, sets the corresponding direction as the ventilation interference area, and obtains the hood direction interference identifier. First, the interference direction identification submodule executes rigorous overlapping area comparison logic, performing Boolean matching between the return flow angle in the return motion angle domain information set and the original pointing angle in the front hood angle information set. During execution, within the 24-degree diffusion sector in front of the hood, angles indicating reverse airflow are searched degree by degree based on the sensor panel feedback. If a specific interval of 55 to 62 degrees is found to belong to both the hood's outlet air coverage area and the main return flow channel detected by the sensor panel, this overlapping angle range is extracted and defined as a ventilation dead angle. Subsequently, historical data on the outlet air direction of the hood with that number is retrieved and locked, determining that direction as a ventilation interference area, and the corresponding angle is set to an unavailable state in the control matrix. Through this matching and verification based on sensor feedback and spatial envelope, areas with low ventilation efficiency due to physical obstruction are accurately located, invalid jet directions are eliminated, and the hood direction interference identifier is obtained.

[0031] Specifically, such as Figure 2 , 5 As shown, the hood jump execution module includes: The angular state extraction submodule retrieves the current pointing value of the corresponding angular component of the hood based on the number list in the hood directional interference identifier, collects the spatial position of adjacent angles in the concentration diffusion direction data, and obtains the hood angular pointing information set based on the corresponding angular data. First, the angular state extraction submodule, based on the W08 hood marked in the hood directional interference identifier, obtains the current physical angular displacement pointing value of 58 degrees from the encoder feedback of its steering motor. Simultaneously, the module retrieves real-time monitoring data of the surrounding environment's toxic gas diffusion rate to find the spatial coordinate direction with the highest concentration growth rate at that moment. By analyzing the concentration value distribution at adjacent angles, it is found that the concentration growth rate at 110 degrees reaches 3.5 milligrams per cubic meter per second, significantly higher than the current pointing area. This characteristic of the environmental toxic gas situation is mapped to the adjustable mechanical angular displacement of the hood, and the spatial coordinate distribution of the area adjacent to the current angle is collected. The geographical location attribute is converted into an angle scale code value recognizable by the hood. Through this method of synchronously associating the environmental pollution situation with the mechanical position of the equipment, a dynamic pointing efficiency evaluation map is generated internally, recording the toxic gas accumulation state and efficiency expectations at each selectable angle, thus obtaining the hood angular pointing information set.

[0032] The channel direction comparison submodule, based on the angle value of the wind hood angular direction information set, corresponds to the obstruction status and airflow status in the space where the query direction is located, compares the airflow status, identifies the angular items where no jet flow is blocked, and obtains the passage direction data sequence. First, the channel direction comparison submodule traverses all candidate jump angles in the hood angle pointing information set. During execution, it retrieves the static spatial architectural model of the work area and performs virtual collision verification on the airflow within 15 meters in front of each candidate direction. The execution process queries whether there are supporting beams, trusses, production equipment, or stacked materials obstructing the jet extension in the 110-degree direction and quantifies their passage. If no physical obstruction is found on the path, and the airflow stability score verified by historical flow field simulation is higher than 0.9 (out of 1.0), then the direction is determined to be an ideal ventilation and detoxification channel. By comparing the downward airflow obstruction status of each candidate angle, angles with extremely high toxic gas concentrations but physical shielding are eliminated, retaining those angles that reach the core toxic gas area without jet obstruction. This rigorous screening of spatial passage conditions ensures the targeted nature of subsequent mechanical actions, ultimately yielding a sequence of passage direction data.

[0033] The jump action output submodule detects the angle between the current angular pointing value of the hood and the travel direction based on the steerable items in the travel direction data sequence, and performs a jump according to the hood control interface to obtain the hood jump execution action group; First, the jump action output submodule extracts the 110-degree target from the traffic direction data sequence, which has the smallest deviation from the current 58-degree pointing angle and the highest traffic score. During execution, the required angular displacement increment for the jump action is calculated to be 52 degrees in the positive direction. Based on the servo drive protocol of the W08 hood steering motor, this displacement is converted into specific digital pulse commands, while simultaneously setting smooth start and stop accelerations. During execution, a jump execution signal is sent to the driver via the control interface, guiding the hood to rotate quickly and smoothly to the 110-degree pointing angle. The real-time encoder feedback value of the steering mechanism is continuously monitored to ensure that the dynamic deviation is controlled within 0.2 degrees when reaching the target angle. Through this precise mechanical rotation execution process, the hood successfully avoids the old area with backflow interference and locks onto an open path with efficient detoxification capabilities. By collecting the command execution feedback, the hood jump execution action group is obtained.

[0034] Specifically, such as Figure 2 , 6 As shown, the wind source angle synchronization module includes: The hood angle extraction submodule retrieves the current air outlet angle of adjacent hoods based on the hood number and angle value in the hood jump execution action group, reads the angular values ​​between adjacent number pairs, analyzes the angular changes between hoods in sequence, and obtains the hood angular pairing dataset. First, the hood angle extraction submodule, based on W08 in the hood jump execution action group and its new 110-degree angle after the jump, immediately triggers the synchronization verification procedure for the entire field air source array. The execution process first determines the physical neighbors of W08 as W07 and W09 according to the physical installation drawings, and retrieves the real-time operating angle feedback of these two adjacent hoods from the central control center. It reads the angular difference between adjacent number pairs and analyzes the changing trends of the pointing vectors between each hood in the array sequentially. For example, if the current pointing of W07 is detected to be 95 degrees, the angle between it and W08 is calculated to be only 15 degrees through numerical subtraction. By performing this pairwise pairing angle value extraction on the hoods in all linked areas of the entire field, a data mapping table reflecting the overall consistency and coordination of the air curtain wall is established. This process captures the risk of pointing overlap or coverage blind spots that may occur due to independent adjustments between air sources, resulting in a hood angular pairing dataset.

[0035] The included angle range screening submodule, based on the angle values ​​in the wind hood angle pairing dataset, and referring to the set angle reference range, analyzes the angle change status, selects the number combinations whose values ​​fall into the reference range, and obtains the included angle critical number combination set; First, the angle range screening submodule retrieves the values ​​from the wind turbine angle pairing dataset and rigorously compares them with the preset safe angle reference range of 25 to 155 degrees. In this embodiment, the reference range is set based on the coherent entrainment interference theory of multiple parallel jets, aiming to prevent the merging of two parallel jets due to excessive distance, thereby avoiding attenuation of far-end coverage. The execution process analyzes the 15-degree angle between W07 and W08, determining that this value falls into the critical unsafe region because it is less than the lower limit of the 25-degree safety threshold. This insufficient angle combination is logically marked, identifying that this angle will cause energy entrainment and path deviation of two adjacent high-speed jets within a short distance, thereby reducing the overall ventilation thrust. By screening all pairing data one by one, all equipment pairs requiring directional linkage are accurately located, resulting in a set of critical angle combination numbers.

[0036] The direction linkage adjustment submodule retrieves the current air outlet direction parameters based on the hood number in the critical angle number combination set, performs a direction reverse offset operation, replaces the original angle data with the adjustment result, and obtains the air source linkage adjustment list. First, the directional linkage adjustment submodule performs a cooperative directional reverse compensation operation on the W07 shroud, which is part of the critical angle combination set, to maintain the stability of the global flow field. The execution process retrieves the current pointing angle of W07 (95 degrees) and calculates the minimum angular displacement compensation required to remove it from the critical interference state based on the fixed target pointing angle of W08 (110 degrees). To ensure that the angle between the two can be widened to reach the minimum safety standard of 25 degrees, it is determined that a 10-degree reverse deflection compensation is needed for W07, adjusting its new angle to 85 degrees. The execution process sends this adjusted command value to the control module of W07 and simultaneously updates the linkage list, ensuring that no invalid airflow collisions occur during multi-machine collaboration. By forcibly coordinating the pointing of adjacent shrouds, negative interference between jets is eliminated, maintaining the overall consistency of the air curtain during its advancement, resulting in the air source linkage adjustment list.

[0037] Specifically, such as Figure 2 , 7 As shown, the ventilation path extension module includes: The wind cover coverage area extraction submodule collects the coverage sector range of the wind cover direction in the plane coordinate system based on the wind cover number and pointing angle in the wind source linkage adjustment list, and extracts the spatial boundary coordinate information of the wind cover corresponding to the current angle downward in the order of numbering to obtain the wind cover direction coverage boundary dataset. First, the hood coverage area extraction submodule, based on the final number and pointing angle of each hood in the air source linkage adjustment list, begins to construct the dynamic ventilation envelope geometry for the entire field. The execution process combines the rated output power of each hood with its effective range parameters at the current rotational speed to collect the effective coverage sector range of each hood's pointing direction in the planar coordinate system. The coordinates of the two flank edges, the far boundary, and the midpoint of the arc corresponding to each hood at the current adjustment angle are extracted in numerical order. For example, the coverage area of ​​W08 in the 110-degree direction is defined as a geometric sector with a range of 12 meters and a central angle of 24 degrees. These discrete sector geometries are then fused in a unified global coordinate system to depict the effective domain outline of the ventilation system within the monitoring space, resulting in the hood direction coverage boundary dataset.

[0038] The gas location overlap detection submodule extracts the boundary coordinate values ​​of the gas coverage area under the plane coordinate axis based on the wind hood direction coverage boundary dataset, and detects the coordinate intersection information between the boundary data according to the wind hood direction coverage boundary dataset to obtain the penetration relationship recognition result set. First, the toxic gas location overlap detection submodule acquires real-time toxic gas concentration field distribution data from the monitoring terminal. During execution, it extracts the boundary coordinates of areas where the toxic gas concentration exceeds the warning threshold on a planar coordinate axis. A contour line extraction algorithm is used to construct a polygonal geometric model of the toxic gas cloud. Then, based on the coverage boundary dataset of the hood direction, a geometric interferometry algorithm is used to detect the spatial overlap between the boundary polygons of the hood jet and the polygons of the toxic gas cloud. If the calculated coverage boundary of hood W08 intersects the boundary of the toxic gas cloud with more than two coordinate points, and the jet center vector effectively penetrates the core area of ​​high toxic gas concentration, it is determined that the ventilation path has successfully entered the toxic gas area. Through this real-time geometric position overlap determination and coordinate overlap detection, the physical coverage efficiency and penetration depth of each ventilation jet for pollutants are clarified, resulting in a set of penetration relationship identification results.

[0039] The ventilation path filtering submodule, based on the result set of the penetration relationship identification, stops the current air outlet action of the hood number that has not detected an intersection, updates the current ventilation status of the number, and obtains the space toxic gas linkage ventilation status. First, the ventilation path screening submodule performs final dynamic optimization and task allocation of the operational status of all ventilation hoods based on the penetration relationship identification result set. During execution, for hood numbers where no spatial intersection with the toxic gas area is detected, it is determined that their current jet flow is in an idle state, and a stop command is immediately issued, updating their status to standby to reduce unnecessary power consumption and avoid generating interference flow fields. For core equipment such as W07 and W08 where penetration relationships are detected, their high-intensity ventilation operation is maintained, and the wind speed is dynamically adjusted according to the real-time toxic gas concentration. This method forms a high-speed air corridor within the space, closely following the toxic gas cloud and directionally guiding it towards the pressure relief outlet, achieving targeted and targeted removal of pollutants. By updating and acquiring the ventilation status of each number in real time, optimal allocation of ventilation resources is achieved, ultimately obtaining the space's toxic gas-linked ventilation status.

[0040] Please see Figure 8 The present invention also provides a method for intelligent sensing and control of ventilation of toxic gases in confined spaces. The method is based on the above-mentioned intelligent sensing and control system for ventilation of toxic gases in confined spaces and includes the following steps: S1: Obtain the sampling probe positions of the space hull bottom, sinking operation layer and closed transition section, call the gas sensor to read the concentration, compare the direction of adjacent points before and after, locate the height of the wind hood corresponding to the concentration change area, identify the space number covered by the wind hood spray, and obtain the set of ventilation jet influence numbers. S2: Based on the hood numbers in the ventilation jet influence number set, extract the angular segment corresponding to the front area, call the direction offset record of the airflow disturbance sensor, compare the offset trend of the airflow direction with the air outlet axis, extract the hood number in the return direction, and obtain the hood direction interference identifier. S3: Based on the number in the directional interference identifier of the wind cover, extract the diffusion direction angle range, read the directional blocking structure and airflow path status, and obtain the wind cover jump execution action group; S4: Based on the hood number and direction angle in the hood jump execution action group, obtain the angle range between hoods, identify the number combination with an angle lower than the reference value, adjust the hood direction corresponding to the number in the opposite direction, and obtain the wind source linkage adjustment list. S5: Based on the hood number and pointing angle in the wind source linkage adjustment list, extract the spatial area covered by the corresponding direction, call the toxic gas diffusion location data to compare the spatial boundary relationship, compare the location of the toxic gas diffusion area, remove non-intersecting directions, and obtain the spatial toxic gas linkage ventilation status.

[0041] In this embodiment of the invention, the accumulation layer of toxic gas is identified by comparing the direction of concentration change. The ventilation interference angle domain is determined by combining the directional relationship of the wind hood in space and the airflow deviation characteristics. Based on the angular relationship between the wind hoods, a combination of jumping directions with differentiated ventilation capabilities is constructed. The obstruction situation and airflow path in the ventilation duct are extracted. The ventilation direction that is not blocked by the structure and runs through the toxic gas accumulation area is selected. This promotes the formation of a ventilation control mechanism with directional linkage, angle coordination, channel screening and path penetration capabilities, and enhances the perception and response capability of toxic gas diffusion trend and the applicability of local ventilation treatment in closed or multi-scenario structural environments.

[0042] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A confined space toxic gas ventilation intelligent sensing and control system, characterized in that, The system includes: The toxic gas stratification identification module obtains the sampling probe positions of the space cabin bottom, the sinking operation layer, and the closed transition section, calls the gas sensor to read the concentration, compares the directions of adjacent points, locates the height of the hood corresponding to the concentration change area, and obtains the set of ventilation jet impact numbers. The obstruction direction determination module extracts the front angular information of the airflow based on the set of ventilation jet influence numbers, calls the direction offset data of the sensor plate, compares the airflow direction with the axis of the hood, and obtains the hood direction interference indicator. The hood jump execution module retrieves the hood angular position based on the hood directional interference identifier, extracts the diffusion directional angular domain range, reads the directional blocking structure and airflow path status, and obtains the hood jump execution action group. The wind source angle synchronization module, based on the wind cover jump execution action group, obtains the angle range between wind covers, identifies the numbered combination with an angle lower than the reference value, and adjusts the wind cover direction corresponding to the number in the opposite direction to obtain the wind source linkage adjustment list. The ventilation path extension module, based on the air source linkage adjustment list, extracts the area covered by the hood, compares the location of the toxic gas diffusion area, removes non-intersecting directions, and obtains the spatial toxic gas linkage ventilation status.

2. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The ventilation jet influence number set includes abrupt change position height, corresponding position of the jet surface, and adjacent sampling point number. The hood direction interference identifier includes hood number, directional offset change, air outlet axis relationship, and airflow return angle domain. The hood jump execution action group includes jump hood number, variable angle position, channel obstruction status, and channel deviation analysis results. The air source linkage adjustment list includes hood number, angle value, hood included angle range, and included angle reference value comparison results. The space toxic gas linkage ventilation status includes hood number, pointing angle, covered space area, toxic gas diffusion position relationship, and ventilation penetration tracking status.

3. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The location of the sampling probe in the closed transition section refers to the probe placement point used to obtain toxic gas concentration monitoring data in the closed transition section of the vertical space structure. The axis of the hood refers to the central axis of the hood's airflow direction.

4. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The angular position of the wind shroud refers to the current airflow angle value of the wind shroud in space; The diffusion direction angular range refers to the spatial angular range of toxic gas diffusion.

5. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The toxic gas layer identification module includes: The probe number parsing submodule obtains the sampling probe numbers and locations arranged in the space cabin bottom, sinking operation layer, and closed transition section, matches the coordinate data corresponding to the number with the layer position of the area, and obtains the set of sampling point locations in the three layers of space according to the spatial layer structure corresponding to the number and spatial position. The concentration change comparison submodule analyzes the concentration change direction of adjacent positions based on the real-time concentration data of the gas sensor at the corresponding number of the three-layer spatial sampling point location set. It takes the continuous area where the change direction reverses as the data jump segment, locates the target area of ​​concentration trend difference, and obtains the concentration change sudden location set. The shielding number set verification submodule, based on the spatial height data of the concentration change sudden location set, intersects the corresponding vertical position with the installation height range of the wind hood spray surface, and extracts the probe number information corresponding to the current monitoring point according to the number range in the intersecting area to obtain the ventilation jet influence number set.

6. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The occlusion direction determination module includes: The hood numbering and positioning submodule, based on the ventilation jet influence number set, tracks the coordinate data position of the area directly in front of the hood outlet corresponding to the number, extracts the spatial angular range in the area in the direction consistent with the hood axis, and obtains the angular information set in front of the hood. The angular offset analysis submodule, based on the airflow disturbance sensor output data in the direction corresponding to the angular information set in front of the wind hood, retrieves the directional offset change according to the sensor distribution sequence, determines the angular directionality between the airflow offset direction and the wind hood outlet axis, analyzes whether there is a reverse component moving towards the wind hood, and obtains the return motion angular domain information set. The interference direction identification submodule extracts the overlapping angle portion from the angular information set in front of the hood based on the angular range corresponding to the return motion angular domain information set, retrieves the air outlet direction data with the corresponding number, sets the corresponding direction as the ventilation interference area, and obtains the hood direction interference identifier.

7. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The windshield jump execution module includes: The angular state extraction submodule retrieves the current pointing value of the corresponding angular component of the hood based on the number list in the hood directional interference identifier, collects the spatial position of adjacent angles in the concentration diffusion direction data, and obtains the hood angular pointing information set based on the corresponding angular data. The channel direction comparison submodule, based on the angle value of the wind hood angular direction information set, corresponds to the obstruction status and airflow status in the space where the query direction is located, compares the airflow status, identifies the angular items where no jet flow is blocked, and obtains the passage direction data sequence. The jump action output submodule detects the angle between the current angular pointing value of the hood and the travel direction based on the steerable items in the travel direction data sequence, and performs a jump according to the hood control interface to obtain the hood jump execution action group.

8. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The air source angle synchronization module includes: The hood angle extraction submodule retrieves the current air outlet angle of adjacent hoods based on the hood number and angle value in the hood jump execution action group, reads the angular direction values ​​between adjacent number pairs, analyzes the angular direction changes between hoods in sequence, and obtains the hood angular direction pairing dataset. The included angle range screening submodule, based on the angle values ​​in the wind hood angle pairing dataset, and referring to the set angle reference range, analyzes the angle change state, selects the number combinations whose values ​​fall into the reference range, and obtains the included angle critical number combination set; The direction linkage adjustment submodule retrieves the current air outlet direction parameters based on the hood number in the set of critical angle number combinations, performs a direction reverse offset operation, replaces the original angle data with the adjustment result, and obtains the air source linkage adjustment list.

9. The intelligent sensing and control system for ventilation of toxic gases in confined spaces according to claim 1, characterized in that, The ventilation path extension module includes: The wind cover coverage area extraction submodule, based on the wind cover number and pointing angle in the wind source linkage adjustment list, collects the coverage fan-shaped range of the wind cover direction in the plane coordinate system, and extracts the spatial boundary coordinate information of the wind cover corresponding to the current angle downward in the order of numbering to obtain the wind cover direction coverage boundary dataset. The gas location overlap detection submodule extracts the boundary coordinate values ​​of the gas coverage area under the plane coordinate axis based on the wind hood direction coverage boundary dataset, and detects the coordinate intersection information between the boundary data according to the wind hood direction coverage boundary dataset to obtain the penetration relationship identification result set. The ventilation path filtering submodule, based on the identified results set of the through-connection relationship, stops the current air outlet action of the hood number where no intersection was detected, updates the current ventilation status of the number, and obtains the space toxic gas linkage ventilation status.

10. A method for intelligent sensing and control of ventilation of toxic gases in a confined space, characterized in that, The method is executed based on the intelligent sensing and control system for ventilation of toxic gases in confined spaces according to any one of claims 1-9, and includes the following steps: S1: Obtain the sampling probe positions of the space cabin bottom, sinking operation layer and closed transition section, call the gas sensor to read the concentration, compare the direction of adjacent points before and after, locate the height of the hood corresponding to the concentration change area, and obtain the set of ventilation jet influence numbers; S2: Based on the set of ventilation jet influence numbers, extract the front angle information of the airflow, call the sensor plate direction offset data, compare the airflow direction with the hood axis, and obtain the hood direction interference indicator. S3: Based on the wind hood directional interference identifier, retrieve the wind hood angular position, extract the diffusion direction angular domain range, read the directional blocking structure and airflow path status, and obtain the wind hood jump execution action group; S4: Based on the wind hood jump execution action group, obtain the angle range between wind hoods, identify the number combination with an angle lower than the reference value, and adjust the wind hood direction corresponding to the number in the opposite direction to obtain the wind source linkage adjustment list; S5: Based on the aforementioned air source linkage adjustment list, extract the area covered by the hood, compare the location of the toxic gas diffusion area, remove non-intersecting directions, and obtain the spatial toxic gas linkage ventilation status.

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