Underground space ventilation control method and device

Abstract

The invention provides an underground space ventilation control method and device, and relates to the technical field of underground engineering ventilation control, and the method comprises the steps that in response to an air volume adjusting instruction for a target underground space, current air volume information of an air duct in the underground space structure is obtained, and the air volume adjusting instruction comprises the target air volume; according to the current air volume information, the air volume adjusting amount needed for achieving the target air volume under the ventilation system adjusting and controlling model is determined; the target air volume control device is adjusted based on the air volume adjusting quantity, and an adjusting result is evaluated according to a preset evaluation strategy so as to determine whether the adjusting result meets the adjusting stopping requirement or not; and if the adjustment result does not meet the adjustment stopping requirement, the air volume adjusting amount is determined again, and air volume adjustment continues to be conducted through the re-determined air volume adjusting amount. By adopting the underground space ventilation control method and device, the problems of high energy consumption and low ventilation control precision in the existing underground space ventilation control process are solved.

Description

Technical Field

[0001] This application relates to the field of ventilation control technology for underground engineering, and more specifically, to a ventilation control method and device for underground spaces. Background Technology

[0002] Underground engineering projects are typically enclosed and confined environments. Due to equipment operation, human activity and metabolism, and the release of harmful gases from materials, the air composition in these confined spaces is complex and air pollution levels are high. To ensure the successful completion of underground engineering tasks, an underground ventilation system is needed. The function of this system is to continuously supply sufficient fresh air to the underground work site. Existing underground ventilation control methods usually rely on manual or semi-manual mechanical ventilation regulation.

[0003] However, the aforementioned mechanical underground ventilation control methods not only require a large amount of energy consumption, but also make it difficult to achieve precise ventilation control, which can easily lead to energy waste and environmental pollution. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a ventilation control method and device for underground spaces to solve the problems of high energy consumption and low ventilation control accuracy in the existing ventilation control process for underground spaces.

[0005] In a first aspect, embodiments of this application provide a ventilation control method for underground spaces, applied to an underground space ventilation control system for controlling ventilation in an underground space structure. The underground space structure includes multiple independent underground spaces connected by air ducts. The underground space ventilation control system includes an airflow control device and sensors. The sensors are used to acquire airflow information, including: In response to an airflow adjustment command for a target underground space, the current airflow information of the air ducts in the underground space structure is obtained, and the airflow adjustment command includes the target airflow. Based on the current air volume information, determine the air volume adjustment amount required to achieve the target air volume under the ventilation system control model; The target air volume control device is adjusted based on the air volume adjustment amount, and the adjustment result is evaluated according to the preset evaluation strategy to determine whether the adjustment result meets the requirements for stopping adjustment. If the adjustment result does not meet the requirements for stopping adjustment, the air volume adjustment amount is redefined so that air volume adjustment can continue using the redefined air volume adjustment amount.

[0006] Optionally, before obtaining the current air volume information of the air ducts in the underground space structure, the method further includes: establishing a ventilation network topology map based on the location of the underground space and the connection relationship between each air duct; and constructing a ventilation system control model based on the ventilation network topology map.

[0007] Optionally, a ventilation network topology diagram is established based on the location of the underground space and the connection relationship between the various air ducts, including: taking the underground space as nodes and the air ducts as branches, numbering the branches and nodes according to the airflow direction in the underground space structure, and connecting the numbered nodes and branches to construct the ventilation network topology diagram.

[0008] Optionally, the method further includes: constructing an airflow sensitivity matrix for branches in the ventilation network topology diagram, wherein the airflow sensitivity matrix is ​​used to characterize the sensitivity of each branch's airflow to changes in ventilation resistance; selecting a target branch based on the airflow sensitivity matrix, and using the airflow control device set in the target branch as the target airflow control device.

[0009] Optionally, the ventilation system control model includes relational constraints. Based on the ventilation network topology, the ventilation system control model is constructed, including: establishing a ventilation balance model based on the ventilation network topology and ventilation laws, and using the ventilation balance model as a relational constraint. The ventilation balance model includes a ventilation resistance model, an air volume balance model, and an air pressure balance model.

[0010] Optionally, the adjustment result is evaluated according to a preset evaluation strategy, including: constructing the objective function value corresponding to the adjustment result, wherein the objective function value is the value of the objective function, and the objective function is a function determined based on the sum of squares of the difference between the current air volume and the target air volume and the power consumption of the fan; and determining whether the adjustment result meets the requirements for stopping adjustment based on the objective function value.

[0011] Optionally, based on the current air volume information, the required air volume adjustment amount to achieve the target air volume under the ventilation system control model is determined, including: iteratively solving the ventilation system control model under the current air volume information based on a preset solution algorithm; determining whether the candidate air volume adjustment amount obtained by the solution meets the control accuracy requirements; if the control accuracy requirements are met, the candidate air volume adjustment amount is used as the required air volume adjustment amount to achieve the target air volume.

[0012] Optionally, the ventilation network topology includes multi-level branches, including low-level branches and high-level branches. Airflow control devices are installed on branches at different levels. The target airflow control device is adjusted based on the airflow adjustment amount, including: determining whether the total airflow in the ventilation network topology has changed; if the total airflow remains unchanged, the airflow control device in the low-level branch is used as the target airflow control device, and the airflow of the target airflow control device in the low-level branch is adjusted according to the airflow adjustment amount; if the total airflow changes, the airflow control device in the high-level branch is used as the target airflow control device, and the airflow of the target airflow control device in the high-level branch is adjusted according to the airflow adjustment amount.

[0013] Optionally, the lower-level branches include secondary and tertiary branches, and the target airflow control devices in the lower-level branches are adjusted according to the airflow adjustment amount, including: adjusting the airflow control devices in the tertiary branches when the total airflow does not change, and determining whether the adjustment of the target airflow control devices in the tertiary branches meets the air supply requirements; if the air supply requirements are not met, the airflow control devices in the secondary branches are adjusted, and determining whether the adjustment of the target airflow control devices in the secondary branches meets the air supply requirements; if the air supply requirements are not met, the airflow control devices in the higher-level branches are adjusted.

[0014] Secondly, this application also provides an underground space ventilation control device, applied to an underground space ventilation control system for controlling ventilation of an underground space structure. The underground space structure includes multiple independent underground spaces connected by air ducts. The underground space ventilation control system includes an airflow control device and a sensor. The sensor is used to acquire airflow information. The device includes: The air volume information acquisition module is used to respond to the air volume adjustment command for the target underground space and acquire the current air volume information of the air duct in the underground space structure. The air volume adjustment command includes the target air volume. The adjustment amount determination module is used to determine the air volume adjustment amount required to achieve the target air volume under the ventilation system control model based on the current air volume information. The air volume adjustment module is used to adjust the target air volume control device based on the air volume adjustment amount, and evaluate the adjustment result according to the preset evaluation strategy to determine whether the adjustment result meets the stop adjustment requirement; The cyclic adjustment module is used to redetermine the air volume adjustment amount if the adjustment result does not meet the requirements for stopping adjustment, so as to continue air volume adjustment using the redetermined air volume adjustment amount.

[0015] The embodiments of this application bring the following beneficial effects: This application provides a method and apparatus for ventilation control in underground spaces. By solving the ventilation system control model, it can automatically calculate the air volume adjustment required to achieve the target air volume under the current air volume information. Then, it uses the air volume adjustment to adjust the target air volume control device and can perform multiple cyclic adjustments until the adjustment requirement is met. The entire process does not require manual intervention, which improves the accuracy of ventilation control and reduces the energy consumption in the ventilation control process. Compared with the existing underground space ventilation control methods, it solves the problems of high energy consumption and low ventilation control accuracy in the existing underground space ventilation control process.

[0016] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart of the underground space ventilation control method provided in an embodiment of this application is shown; Figure 2 A schematic diagram of the underground space ventilation control device provided in an embodiment of this application is shown; Figure 3 A schematic diagram of the structure of the electronic device provided in the embodiments of this application is shown. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. Based on the embodiments of this application, every other embodiment obtained by those skilled in the art without inventive effort falls within the scope of protection of this application.

[0020] It is worth noting that prior to this application, underground engineering projects were typically enclosed and confined environments. Within these environments, the air composition was complex and air pollution was high due to equipment operation, human activity and metabolism, and the release of harmful gases from materials. To ensure the successful completion of underground engineering tasks, an underground ventilation system was necessary, continuously supplying sufficient fresh air to the underground work site. The duct properties and ventilation network structure of the underground ventilation system would change with actual conditions; any change in the ventilation parameters of any duct branch would alter the entire ventilation network. Existing underground space ventilation control methods still rely on manual or semi-manual mechanical adjustments, which are insufficient for effective ventilation and on-demand air supply. If the ventilation system fails or airflow is not adjusted in a timely manner, it may lead to engineering accidents. These methods rely on manual or semi-manual mechanical adjustments of fans, ducts, and other equipment to introduce fresh air into the underground space while expelling stale air to the surface. However, these mechanical underground space ventilation control methods not only require significant energy consumption but also struggle to achieve precise ventilation control, easily leading to energy waste and environmental pollution.

[0021] Based on this, this application provides a ventilation control method for underground spaces to improve the accuracy of ventilation control and reduce energy consumption during the ventilation control process.

[0022] Please see Figure 1 , Figure 1 This is a flowchart illustrating a ventilation control method for underground space provided in an embodiment of this application. Figure 1 As shown in the embodiments of this application, the underground space ventilation control method includes: Step S101: In response to the air volume adjustment command for the target underground space, obtain the current air volume information of the air duct in the underground space structure; Step S102: Based on the current air volume information, determine the air volume adjustment amount required to achieve the target air volume under the ventilation system control model; Step S103: Adjust the target air volume control device based on the air volume adjustment amount, and evaluate the adjustment result according to the preset evaluation strategy to determine whether the adjustment result meets the stop adjustment requirement. Step S104: If the adjustment result does not meet the requirements for stopping adjustment, the air volume adjustment amount is re-determined so as to continue air volume adjustment using the re-determined air volume adjustment amount.

[0023] The underground space ventilation control method provided in this application can automatically calculate the air volume adjustment amount required to achieve the target air volume under the current air volume information by solving the ventilation system control model. Then, the air volume adjustment amount is used to adjust the target air volume control device, and multiple cyclic adjustments can be performed until the adjustment stop requirement is met. The whole process does not require manual intervention, which improves the accuracy of ventilation control and reduces the energy consumption in the ventilation control process.

[0024] To facilitate understanding of this embodiment, the following description uses an example of an underground space ventilation control method applied to an underground space ventilation control system for controlling ventilation in an underground space structure. The exemplary steps provided in this application embodiment will be explained separately. The underground space structure includes multiple independent underground spaces connected by air ducts. The underground space ventilation control system includes an airflow control device and sensors installed in the underground space structure. The sensors are used to acquire airflow information.

[0025] In step S101, in response to the airflow adjustment command for the target underground space, the current airflow information of the air duct in the underground space structure is obtained.

[0026] In this step, the target underground space may refer to one or more underground spaces in a multi-underground space structure. For example, the underground space structure includes multiple independent underground spaces, each of which may be a room with a corresponding function. The target underground space may be one or more rooms.

[0027] An airflow regulation command refers to an instruction to adjust the ventilation volume in a target underground space. This command can increase or decrease airflow within the space, thereby improving air quality. The airflow regulation command includes the target airflow volume.

[0028] Current air volume information refers to the air volume information in each air duct at the current moment. Current air volume information includes wind speed and air volume. Among them, air volume can be calculated based on wind speed and the cross-section of the corresponding air duct.

[0029] In this embodiment, taking underground scientific experiments in an underground space as an example, the air quality in each underground space is affected by the number of people in that space, the experimental environment, and the type of experimental project being conducted. To effectively control the air quality of each underground space in a timely and accurate manner, it is necessary to monitor the environmental parameters of that space in real time. These parameters include: the number of people, the content of various gas components in the air, temperature and humidity, and the type of experimental project. An airflow adjustment command is generated based on the current environmental parameters. This command is used to indicate the target underground space to be adjusted and the adjustment target. The node attributes of the target underground space can be obtained from the ventilation network topology diagram. These node attributes are used to locate the target underground space, and the adjustment target includes the target airflow.

[0030] In one example, prior to the current airflow information, a topology map of the entire underground space structure can be created to accurately reflect the structural characteristics of the entire underground space structure, and the topology map can be used for ventilation control.

[0031] Specifically, the underground space structure includes fans, ventilation valves, air ducts, and multiple underground spaces. A ventilation network topology can be established based on the location of the underground spaces and the connections between the air ducts. For example, first, the nodes and branches of the underground space structure are determined; here, underground spaces can be considered nodes, and air ducts can be considered branches. Then, the branch attributes of each branch and the node attributes of each node in the underground space structure are defined. Branch attributes include, but are not limited to: branch level, air resistance, branch flow rate, temperature and humidity, space volume, associated nodes, and branch direction. Node attributes include, but are not limited to: three-dimensional spatial coordinates, space dimensions, node pressure, and associated branches.

[0032] Wind resistance refers to ventilation resistance, which is determined by the material of the duct, duct type, duct length, air density, duct cross-sectional area, and wind speed. The duct type refers to the structural type of the duct; for example, the duct type can be an irregular structure or a simple straight structure. Furthermore, those skilled in the art can determine the specific value of wind resistance in each duct using wind resistance calculation formulas or experimental data, which will not be elaborated upon here.

[0033] Temperature and humidity refer to the temperature and humidity requirements for this branch, which vary under different underground experimental conditions. If there are no temperature and humidity requirements, this attribute does not need to be set.

[0034] Node pressure refers to the atmospheric pressure requirement for that node, which varies depending on the specific underground experimental conditions. If there is no pressure requirement, this attribute does not need to be set.

[0035] In one scenario, the underground space structure is an established physical structure. In this case, the specific values ​​of the branch attributes and node attributes can be set based on the actual data of the underground space structure.

[0036] In another scenario, the underground space structure is an unestablished entity. In this case, the specific values ​​of the branch attributes and node attributes can be set according to the target data of the underground space structure to be established.

[0037] Then, the branches and nodes are numbered according to the airflow direction in the underground space structure, and the numbered nodes and branches are connected to construct a ventilation network topology. This ventilation network topology is a directed graph, and branches at different levels are distinguished by different colors or different thicknesses. Additionally, fans and valves need to be placed in the ventilation network topology according to preset locations.

[0038] For the ventilation network topology, a ventilation system control model is established. This model is a mathematical model of the ventilation network topology and includes relational constraints, control quantity constraints, optimization variables, objective functions, and control objectives. For the relational constraints, a ventilation balance model can be constructed based on the ventilation network topology and ventilation laws. This model serves as the relational constraint to define the ventilation control process. The ventilation laws include the ventilation resistance law, the airflow balance law, and the air pressure balance law. The ventilation resistance law is essentially a combination of the frictional resistance law and the local resistance law; that is, under a given air resistance, the total ventilation resistance is proportional to the square of the airflow. The airflow balance law states that the algebraic sum of the airflow into and out of any node in the ventilation network topology is zero. The air pressure balance law states that the pressure difference between the beginning and end points of each branch is equal to the ventilation resistance of that branch minus the ventilation power. Corresponding to the ventilation laws, the ventilation balance model includes at least one of the following: a ventilation resistance model, an airflow balance model, and an air pressure balance model.

[0039] A ventilation resistance model can be established based on the ventilation network topology and the ventilation resistance law. The ventilation resistance model for each branch is expressed as follows: ,in, This represents the ventilation resistance of the i-th branch in the ventilation network topology diagram. Let represent the drag coefficient of the i-th branch in the ventilation network topology diagram. This represents the airflow of the i-th branch in the ventilation network topology diagram. The airflow can be calculated from the wind speed measured by the wind speed sensor.

[0040] Based on the ventilation network topology and the airflow balance law, an airflow balance model is established. The airflow balance model is expressed as: This means that the sum of the airflow from all branches is zero, in order to achieve airflow balance within the entire underground space structure. Among these, This represents the airflow of the i-th branch in the ventilation network topology diagram.

[0041] Based on the ventilation network topology and the law of wind pressure balance, a wind pressure balance model is established. The wind pressure balance model is expressed as: ,in, This represents the ventilation resistance of the i-th branch. Indicates the fan's air pressure. This indicates the wind pressure difference between branches.

[0042] Regarding control quantity constraints, control quantity constraints can refer to specific numerical constraints on one or more specified control quantities, such as: wind speed less than 5m / s. Control quantities can also be other specific control quantities such as total air volume. Through control quantity constraints, the ventilation network of underground space can be further refined for control.

[0043] The optimization variables include: fan operating conditions and valve opening of the air volume control device. Fan operating conditions include, but are not limited to: start / stop, speed, and power. The optimization objectives include, but are not limited to: target air volume and supply air pressure under the air volume adjustment command.

[0044] In step S102, based on the current air volume information, the required air volume adjustment amount to achieve the target air volume under the ventilation system control model is determined.

[0045] In this step, the air volume adjustment amount can refer to the adjustment amount relative to the target air volume control device. The air volume adjustment amount includes, but is not limited to: the operating conditions of the fan (start / stop, speed, power) and the opening degree of the ventilation valve.

[0046] In one example, after constructing the ventilation network topology diagram, multiple target locations in the diagram can be selected as monitoring points. Sensors are then deployed at each monitoring point to acquire real-time information on current airflow, temperature and humidity, and air composition. Here, a preset location can be selected in each duct as a monitoring point. The sensors installed at these points include, but are not limited to, wind speed sensors, temperature and humidity sensors, and gas detectors. Those skilled in the art can select the type of sensors to install based on actual needs.

[0047] In this embodiment of the application, the ventilation system control model under the current air volume information can be iteratively solved based on a preset solution algorithm to determine whether the candidate air volume adjustment amount obtained by the solution meets the control accuracy requirements; if the control accuracy requirements are met, the candidate air volume adjustment amount is used as the air volume adjustment amount required to achieve the target air volume.

[0048] For example: Obtain raw ventilation data, which can be historical ventilation data. Use the raw ventilation data to initialize the ventilation system. Then, set the number of iterations and accuracy thresholds, and use the Scott-Hensley algorithm or the Newton-Raphson method to iteratively calculate the ventilation system control model under relational constraints and control quantity constraints, thereby solving for the air volume adjustment, air pressure and air resistance that meet the optimization objectives.

[0049] The calculation process is an iterative process. In each round of calculation, when the airflow adjustment is obtained, the airflow correction value for that round is calculated, which is the difference between the airflow adjustment in the current round and the airflow adjustment in the previous round. Then, it is determined whether the airflow correction value is greater than a set accuracy threshold. If it is greater, the control accuracy requirement is not met, and the iteration continues until the airflow correction value in a certain round is less than or equal to the set accuracy threshold. If it is less than or equal to the set accuracy threshold or the set number of iterations is reached, the control accuracy requirement is met, the iteration process stops, and the airflow adjustment at this point is taken as the calculated airflow adjustment value.

[0050] In step S103, the target air volume control device is adjusted based on the air volume adjustment amount, and the adjustment result is evaluated according to the preset evaluation strategy to determine whether the adjustment result meets the requirements for stopping adjustment.

[0051] In this step, the target air volume control device can be a fan or a ventilation valve in an underground space.

[0052] If the air volume adjustment amount is greater than 0, the resistance increase adjustment method needs to be used, that is, the valve opening of the ventilation valve is reduced; if the air volume adjustment amount is less than 0, the resistance decrease adjustment method or the pressure increase adjustment method needs to be used. The resistance decrease adjustment valve increases the valve opening of the ventilation valve, and the pressure increase adjustment method is to adjust the frequency of the fan; if the air volume adjustment amount is equal to 0, no air volume adjustment is required.

[0053] Since there is no single optimal airflow control scheme—for example, the operating conditions of the fan can be adjusted, or the ventilation valves can be regulated—multiple control schemes may achieve the same airflow effect. Therefore, it is necessary to analyze the sensitivity distribution of each airflow control device to determine which devices have a greater impact on the ventilation network, thus aiding decision-making. Specifically, assuming that a change in the air resistance of a branch in the ventilation network topology causes a change in the airflow of that branch, the degree to which the branch's airflow changes due to the branch's air resistance is termed airflow sensitivity.

[0054] In one example, partial derivatives of the ventilation resistance can be obtained using the airflow balance model and the air pressure balance model. Then, the sensitivity of each branch's airflow to changes in ventilation resistance can be calculated by combining these models to construct an airflow sensitivity matrix. The larger the sensitivity of a branch, the greater the impact of changes in the resistance of that branch on its airflow; conversely, the smaller the sensitivity of a branch, the smaller the impact of changes in the resistance of that branch on its airflow.

[0055] For complex ventilation network topologies, which include numerous branches, the airflow in each branch influences the others. Achieving the desired adjustment target may require multiple adjustments. In such cases, the most effective and directly impactful target branch can be selected based on airflow sensitivity. This allows for achieving the target with the fewest adjustments. For example, one or more branches with the lowest airflow sensitivity can be selected as target branches for airflow adjustment, and the airflow control device within those target branches can be used as the target airflow control device.

[0056] In one example, fans, ventilation valves, nodes, and branches are all divided into different levels. The branch levels are three, ordered from highest to lowest importance: Level 1 branch, Level 2 branch, and Level 3 branch. Level 1 branches contain the main fan, main ventilation valve, and main node; Level 2 branches contain ordinary fans, ordinary ventilation valves, and ordinary nodes; and Level 3 branches contain secondary fans, secondary ventilation valves, and secondary nodes. Fans are classified by power, nodes by spatial dimensions, and ventilation valves by their controllable opening range.

[0057] In specific adjustments, first determine whether the total air volume in the ventilation network topology changes based on the target air volume. For example, determine whether the adjustment target can be achieved by balancing the air volume between several nodes while keeping the total air volume constant. If the adjustment target can be achieved, then the total air volume is determined to remain unchanged; if the adjustment target cannot be achieved, then the total air volume is determined to have changed.

[0058] If the total air volume remains constant, a target branch is selected from the lower-level branches based on the air volume sensitivity matrix. The air volume control device set in the target lower-level branch is then used as the target air volume control device, and the air volume of the target air volume control device is adjusted according to the air volume adjustment amount. For example, if the lower-level branches include secondary and tertiary branches, and the total air volume does not change, the air volume control device in the tertiary branch is adjusted first. It is then determined whether adjusting the target air volume control device in the tertiary branch can make the target node reach the target air volume. If the target air volume can be reached, the air supply requirement is determined to be met; if the target air volume cannot be reached, the air supply requirement is determined to be unmet.

[0059] If adjusting the third-level branch does not meet the air supply requirements, then adjust the air volume control device in the second-level branch, and determine whether adjusting the target air volume control device in the second-level branch meets the air supply requirements.

[0060] If adjusting the secondary branch does not meet the air supply requirements, then adjust the air volume control device in the primary branch and determine whether adjusting the target air volume control device in the primary branch meets the air supply requirements.

[0061] If adjusting the primary branch does not meet the air supply requirements, then return to the step of adjusting the air volume control device in the tertiary branch and determining whether adjusting the target air volume control device in the tertiary branch meets the air supply requirements, until the air supply requirements are met.

[0062] If the total air volume changes, the target branch is selected in the advanced branch according to the air volume sensitivity matrix, the air volume control device set in the advanced target branch is used as the target air volume control device, and the target air volume control device in the advanced branch is adjusted according to the air volume adjustment amount.

[0063] Similarly, if adjusting the first-level branch does not meet the air supply requirements, the process returns to adjusting the air volume control device in the third-level branch and determining whether adjusting the target air volume control device in the third-level branch meets the air supply requirements, until the air supply requirements are met.

[0064] After determining the target branch, the air volume regulating device in the target branch is taken as the target air volume regulating device, and the target air volume regulating device is adjusted according to the air volume regulation amount to obtain the regulation result.

[0065] In one example, the adjustment result needs to be evaluated to assess whether the adjustment target has been achieved. To do this, a target function value corresponding to the adjustment result can be constructed, and the value of the target function after adjustment can be calculated. If the value of the target function meets the requirements, the adjustment target is determined to have been achieved. Here, the target function value is the value of the target function, which is a function determined based on the sum of the squares of the differences between the current airflow and the target airflow, and the fan power consumption. For example, the sum of the squares of the differences between the current airflow and the target airflow, plus the fan power consumption, can be used as the target function. Based on the target function value, it is determined whether the adjustment result meets the stop adjustment requirements. If the target function value is less than a set threshold, the stop adjustment requirements are met; if the target function value is greater than or equal to the set threshold, the stop adjustment requirements are not met.

[0066] In step S104, if the adjustment result does not meet the requirement to stop adjustment, the air volume adjustment amount is re-determined so as to continue air volume adjustment using the re-determined air volume adjustment amount.

[0067] If the adjustment result does not meet the requirements to stop adjustment in this step, it means that the objective function value is greater than or equal to the set threshold. At this time, it may cause the fan power consumption to be large or the difference between the current air volume and the target air volume to be large. Therefore, it is necessary to redetermine the air volume adjustment amount so as to use the redetermined air volume adjustment amount for adjustment.

[0068] When redetermining the airflow adjustment amount, a genetic algorithm, gradient optimization algorithm, or particle swarm optimization algorithm can be used to optimize the preset solution algorithm so that the optimized preset solution algorithm can be used to redetermine the airflow adjustment amount.

[0069] If the adjustment result meets the requirements for stopping adjustment, the air volume adjustment process under this air volume adjustment command will end.

[0070] Based on the same inventive concept, this application also provides an underground space ventilation control device corresponding to the underground space ventilation control method. Since the principle of the device in this application is similar to the underground space ventilation control method described above, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0071] See also Figure 2 , Figure 2 This is a schematic diagram of the structure of an underground space ventilation control device provided in an embodiment of this application. Figure 2 As shown, the underground space ventilation control device 200 is applied to an underground space ventilation control system for controlling ventilation in an underground space structure. The underground space structure includes multiple independent underground spaces connected by air ducts. The underground space ventilation control system includes air volume control devices installed in the underground spaces and wind speed sensors installed on the air ducts. The wind speed sensors are used to acquire air volume information. The underground space ventilation control device 200 includes: The air volume information acquisition module 201 is used to acquire the current air volume information of the air duct in the underground space structure in response to the air volume adjustment command for the target underground space. The air volume adjustment command includes the target air volume. The adjustment amount determination module 202 is used to determine the air volume adjustment amount required to achieve the target air volume under the ventilation system control model based on the current air volume information. The air volume adjustment module 203 is used to adjust the target air volume control device based on the air volume adjustment amount, and evaluate the adjustment result according to the preset evaluation strategy to determine whether the adjustment result meets the stop adjustment requirement. The cyclic adjustment module 204 is used to redetermine the air volume adjustment amount if the adjustment result does not meet the stop adjustment requirement, so as to continue the air volume adjustment using the redetermined air volume adjustment amount.

[0072] See also Figure 3 , Figure 3This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 3 As shown, the electronic device 300 includes a processor 310, a memory 320, and a bus 330.

[0073] The memory 320 stores machine-readable instructions executable by the processor 310. When the electronic device 300 is running, the processor 310 and the memory 320 communicate via the bus 330. When the machine-readable instructions are executed by the processor 310, they can perform the operations described above. Figure 1 The steps of the underground space ventilation control method in the method embodiment shown are described in detail in the method embodiment, and will not be repeated here.

[0074] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described actions. Figure 1 The steps of the underground space ventilation control method in the method embodiment shown are described in detail in the method embodiment, and will not be repeated here.

[0075] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0076] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0077] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0078] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0079] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0080] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for controlling ventilation in underground spaces, characterized in that, An underground space ventilation control system is applied to control ventilation in underground space structures, wherein the underground space structure includes multiple independent underground spaces connected by air ducts. The underground space ventilation control system includes an airflow control device and sensors, wherein the sensors are used to acquire airflow information, including: In response to an airflow adjustment command for a target underground space, the current airflow information of the air ducts in the underground space structure is obtained, wherein the airflow adjustment command includes the target airflow. Based on the current air volume information, determine the air volume adjustment amount required to achieve the target air volume under the ventilation system control model; The target air volume control device is adjusted based on the air volume adjustment amount, and the adjustment result is evaluated according to the preset evaluation strategy to determine whether the adjustment result meets the requirements for stopping adjustment. If the adjustment result does not meet the requirement to stop adjustment, the air volume adjustment amount is re-determined so that air volume adjustment can continue using the re-determined air volume adjustment amount.

2. The method according to claim 1, characterized in that, Before obtaining the current airflow information of the air ducts in the underground space structure, the method further includes: Based on the location of the underground space and the connection relationship between the various air ducts, a ventilation network topology diagram is established. Based on the ventilation network topology diagram, a ventilation system control model is constructed.

3. The method according to claim 2, characterized in that, The step of establishing a ventilation network topology map based on the location of the underground space and the connection relationships between the various air ducts includes: Using the underground space as nodes and the air duct as branches, the branches and nodes are numbered according to the airflow direction in the underground space structure, and the numbered nodes and branches are connected to construct a ventilation network topology.

4. The method according to claim 2, characterized in that, The method further includes: For the branches in the ventilation network topology, an airflow sensitivity matrix is ​​constructed, which is used to characterize the sensitivity of the airflow of each branch to changes in ventilation resistance. The target branch is selected based on the airflow sensitivity matrix, and the airflow control device set in the target branch is used as the target airflow control device.

5. The method according to claim 2, characterized in that, The ventilation system control model includes relational constraints. The construction of the ventilation system control model based on the ventilation network topology includes: Based on the ventilation network topology and ventilation laws, a ventilation balance model is established, and the ventilation balance model is used as a relational constraint. The ventilation balance model includes a ventilation resistance model, an air volume balance model, and an air pressure balance model.

6. The method according to claim 1, characterized in that, The adjustment results are evaluated according to the preset evaluation strategy, including: Construct the objective function value corresponding to the adjustment result. The objective function value is the value of the objective function. The objective function is a function determined based on the sum of squares of the difference between the current air volume and the target air volume and the power consumption of the fan. Based on the objective function value, determine whether the adjustment result meets the requirements for stopping the adjustment.

7. The method according to claim 2, characterized in that, The step of determining the airflow adjustment amount required to achieve the target airflow under the ventilation system control model based on the current airflow information includes: Based on a preset solution algorithm, the ventilation system control model under the current air volume information is iteratively solved; Determine whether the candidate air volume adjustment values ​​obtained from the solution meet the control accuracy requirements; If the control accuracy requirements are met, the candidate air volume adjustment amount is taken as the air volume adjustment amount required to achieve the target air volume.

8. The method according to claim 7, characterized in that, The ventilation network topology includes multi-level branches, including low-level branches and high-level branches. Airflow control devices are installed on branches at different levels. Adjusting the target airflow control device based on the airflow adjustment amount includes: Determine whether the total air volume in the ventilation network topology diagram has changed; If the total air volume remains unchanged, the air volume control device set in the lower branch is used as the target air volume control device, and the air volume of the target air volume control device in the lower branch is adjusted according to the air volume adjustment amount. If the total air volume changes, the air volume control device set in the advanced branch will be used as the target air volume control device, and the air volume of the target air volume control device in the advanced branch will be adjusted according to the air volume adjustment amount.

9. The method according to claim 8, characterized in that, The lower-level branches include secondary and tertiary branches, and the airflow adjustment of the target airflow control device in the lower-level branches according to the airflow adjustment amount includes: When the total air volume remains unchanged, adjust the air volume control device in the third-level branch and determine whether the adjustment of the target air volume control device in the third-level branch meets the air supply requirements. If the air supply requirements are not met, adjust the air volume control device in the secondary branch and determine whether adjusting the target air volume control device in the secondary branch meets the air supply requirements. If the air supply requirements are not met, adjust the air volume control device in the advanced branch.

10. A ventilation control device for underground space, characterized in that, An underground space ventilation control system is applied to control ventilation in underground space structures, wherein the underground space structure includes multiple independent underground spaces connected by air ducts. The underground space ventilation control system includes an airflow control device and sensors, wherein the sensors are used to acquire airflow information, including: The air volume information acquisition module is used to acquire the current air volume information of the air duct in the underground space structure in response to the air volume adjustment command for the target underground space, wherein the air volume adjustment command includes the target air volume; The adjustment amount determination module is used to determine, based on the current air volume information, the air volume adjustment amount required to achieve the target air volume under the ventilation system control model; The air volume adjustment module is used to adjust the target air volume control device based on the air volume adjustment amount, and evaluate the adjustment result according to the preset evaluation strategy to determine whether the adjustment result meets the stop adjustment requirement. The cyclic adjustment module is used to redetermine the air volume adjustment amount if the adjustment result does not meet the stop adjustment requirement, so as to continue air volume adjustment using the redetermined air volume adjustment amount.

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