Ventilation equipment arrangement method and system for water-sealed cavern group

Abstract

The invention relates to the technical field of ventilation of water-sealed cavern groups, in particular to a ventilation equipment arrangement method and system of a water-sealed cavern group. Comprising the following steps: setting a plurality of operation areas according to structure parameters of a water-sealed cavern group, and obtaining a feature data packet of each operation area; setting a first-level equipment strategy of each operation area according to a preset ventilation planning model and all the feature data packets, and setting a redundant equipment strategy according to a preset association model; setting an equipment arrangement plan of the water-sealed cavern group according to the redundant equipment strategy and all primary equipment strategies, and judging whether a correction strategy is generated or not according to a preset feedback time node; a plurality of operation areas are constructed based on the structure parameters of the water-sealed cavern group, and a plurality of primary equipment strategies and redundant equipment strategies are generated according to a preset ventilation planning model, so that the rapid planning of the ventilation equipment in the water-sealed cavern group is realized, the overall arrangement efficiency is improved, and the safe operation of the water-sealed cavern group is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water-sealed cavern group ventilation, in particular to a water-sealed cavern group ventilation equipment arrangement method and system. BACKGROUND

[0002] A water-sealed cavern group is a large energy storage repository that uses underground rock mass structure and groundwater pressure to achieve airtight storage, and has the advantages of large storage capacity, high safety, and small land occupation. With the increasing demand for energy strategic reserves, its construction scale is becoming increasingly large and complex, and it is often composed of dozens of caverns in parallel or series to form a kilometer-deep underground network. In such a closed, humid, and potentially flammable gas leakage environment, a scientific and efficient ventilation system is the core infrastructure to ensure construction safety, operational efficiency, and emergency response.

[0003] The linear ventilation design of conventional mines or tunnels cannot match the topology structure of the water-sealed cavern group, which has "multiple branches, large depth, and high sealing". Uneven air distribution can lead to insufficient ventilation in the far-end cavern, causing harmful gas accumulation, while the near-end area can cause energy waste due to excessive ventilation. SUMMARY

[0004] The purpose of the present application is to solve the above technical problems, and the present application provides a water-sealed cavern group ventilation equipment arrangement method and system, aiming to improve the arrangement efficiency of the water-sealed cavern group ventilation equipment and ensure the safe operation of the water-sealed cavern group.

[0005] In some embodiments of the present application, based on the structural parameters of the water-sealed cavern group, multiple operating areas are constructed, and multiple primary equipment strategies and redundant equipment strategies are generated according to a preset ventilation planning model, thereby realizing rapid planning of the internal ventilation equipment of the water-sealed cavern group and improving overall arrangement efficiency.

[0006] In some embodiments of the present application, based on multi-level planning, after arranging the ventilation equipment inside each operating area, a redundant equipment strategy is generated to improve the ventilation efficiency and fault tolerance of each operating area, avoid the influence of the actual operation effect deviation or operation failure of part of the operating area on the ventilation efficiency of the water-sealed cavern group, and ensure the safe operation of the water-sealed cavern group.

[0007] In some embodiments of the present application, a water-sealed cavern group ventilation equipment arrangement method is provided, which includes: setting multiple operating areas according to the structural parameters of the water-sealed cavern group, and obtaining characteristic data packets of each operating area; setting a primary equipment strategy for each operating area according to a preset ventilation planning model and all characteristic data packets, and setting a redundant equipment strategy according to a preset correlation model; Set the equipment layout plan for the water-sealed cavern group based on the redundant equipment strategy and all first-level equipment strategies, and determine whether to generate a revised strategy based on the preset feedback time node; The feature data package includes: Structural characteristics and anticipated ventilation requirements.

[0008] In some embodiments of the present application, when multiple operating areas are set, the following steps are included: Pre-segment the water-sealed cavern group according to the preset structural segmentation model and generate multiple initial sub-areas; Establish the initial sub-region sequence P, P=(p1, p2…p i …p n1 ), where p i is the i-th initial sub-region; n1 is the number of initial sub-regions; Set p in sequence i is the target sub-region; Generate ventilation demand value b of target sub-area; b= β i *k i ]; Among them, θ1 is the ventilation demand index; β i is the influencing factor of the i-th ventilation demand index; k i is the reference value of the ventilation demand index in the target sub-area; Generate ventilation demand values ​​for each initial sub-area; Establish ventilation demand value series B, B=(b1,b2…b i …b n1 ), where b i is the ventilation demand value of the i-th initial sub-area; Establish multiple operating areas according to the total ventilation demand value; Establish the operation area sequence A, A=(a1, a2…a i …a n ), where a i is the i-th operating area; n is the number of operating areas, and n1≥n.

[0009] In some embodiments of the present application, when multiple operating areas are established according to all ventilation demand values, the process includes: Establish a first-level association table for all initial sub-regions based on the association model; Preset ventilation demand value threshold B1; If b i >B1, set the i-th initial sub-region as the first-level sub-region; If b i <B1,设定第i个初始子区域为二级子区域; generating the fusion instruction of each secondary sub-region according to the primary correlation table; establishing a plurality of operation regions based on all the fusion instructions.

[0010] In some embodiments of the present application, when setting the primary equipment strategy of each operation region, the following steps are included: setting a i for the target operation region; obtaining the feature data packet of the target operation region; generating a plurality of arrangement points according to the expected ventilation demand of the target operation region; generating the structure feature packet of each arrangement point according to the structure feature parameter of the target operation region; generating the arrangement sub-strategy of each arrangement point according to the ventilation planning model and all the feature data packets; generating the primary equipment strategy of the target operation region according to the fusion result of all the arrangement sub-strategies; setting the primary equipment strategy of each operation region in turn.

[0011] In some embodiments of the present application, when generating the primary equipment strategy of the target operation region, the following steps are included: establishing an arrangement sub-strategy sequence D, D=(d1, d2…d i …d m ), wherein d i is the arrangement sub-strategy of the i-th arrangement point in the target operation region; and m is the number of arrangement points generating a primary fusion sequence according to all the arrangement points; selecting a first sub-strategy from the arrangement sub-strategy sequence D according to the primary fusion sequence; generating a primary ventilation simulation value H1 according to the simulation result of all the arrangement sub-strategies; generating a secondary ventilation simulation value H2 according to the simulation result of the remaining arrangement sub-strategies after excluding the first sub-strategy; generating an influence evaluation value f of the first sub-strategy; f=U1*(H2-H1), wherein U1 is a first conversion coefficient; presetting an influence evaluation value threshold F1; if f<F1, excluding the first sub-strategy; if f>F1, setting the first sub-strategy as an equipment sub-strategy; updating the arrangement sub-strategy sequence D; selecting a second sub-strategy according to the primary fusion sequence, and determining whether the second sub-strategy is an equipment sub-strategy; repeating iteration to select all the equipment sub-strategies; generating the primary equipment strategy of the target operation region according to all the equipment sub-strategies.

[0012] In some embodiments of the present application, when setting a redundant device strategy according to a preset association model, the steps include: Establish a secondary association table for all operating areas based on the preset association model; Set a in sequence according to the operation area sequence A i The operating area to be evaluated; Generate the redundancy requirement value g of the operating area to be evaluated according to the secondary association table; g=α*(s'-s); α=U2*[ η i *s i ]; Where s is the ventilation efficiency value of the operating area to be evaluated; s' is the preset ventilation efficiency value threshold; α is the compensation coefficient; θ2 is the number of associated operating areas of the operating area to be evaluated generated according to the secondary association table; η i is the impact factor of the i-th associated operating area of ​​the operating area to be evaluated; s i is the ventilation efficiency value of the i-th associated operating area of ​​the operating area to be evaluated; U2 is the preset second conversion coefficient; Preset redundancy requirement value threshold G1; If g>G1, generate redundant sub-strategies for the operating area to be evaluated; It is determined in turn whether each operating area generates a redundant sub-strategy, and a redundant device strategy is generated based on all redundant sub-strategies.

[0013] In some embodiments of the present application, when generating a redundant device policy based on all redundant sub-policies, the method includes: Establish a redundant sub-strategy sequence V, V=(v1, v2…v i …v m1 ), where v i is the i-th redundant sub-strategy; m1 is the number of redundant sub-strategies, and m1 <m; Set the redundant sub-strategy v1 as the first redundant strategy, generating the first redundant strategy benefit evaluation value c; c=r*[T1-T2]; r=U3*[ µ i *e i ]; Where r is the correction coefficient; T1 is the primary benefit value; T2 is the secondary benefit value; U3 is the preset third conversion coefficient; θ3 is the number of auxiliary benefit indicators; µ i is the impact factor of the i-th auxiliary benefit indicator; e i is the reference value of the i-th auxiliary benefit indicator in the first redundancy strategy; A preset benefit evaluation value threshold C1 is set. If c < C1, the first redundancy strategy is rejected. If c > C1, the first redundancy strategy is set as a first-level redundancy strategy. An updated redundancy sub-strategy sequence V is updated. A second redundancy strategy is selected, and it is determined whether the second redundancy strategy is a first-level redundancy strategy. The iteration is repeated to select all first-level redundancy strategies. A redundancy device strategy is generated according to all first-level redundancy strategies.

[0014] In some embodiments of the present application, when it is determined whether to generate a correction strategy according to a preset feedback time node, the following steps are included: A feedback data packet is obtained according to the preset feedback time node. A ventilation abnormal value of each operation area is generated according to the feedback data packet, and an operation risk value w is generated according to all ventilation abnormal values. A preset operation risk value threshold W1 is set. If w > W1, a first-level correction instruction is generated, and a correction strategy is generated according to the first-level correction instruction.

[0015] In some embodiments of the present application, a ventilation device arrangement system for a water-sealed cavern group is provided, which includes: A central control unit is configured to set a plurality of operation areas according to structure parameters of the water-sealed cavern group. A monitoring unit is configured to collect characteristic data packets of each operation area. The characteristic data packet includes structure characteristic parameters and expected ventilation demand. The central control unit is further configured to collect operation data of each operation area according to a preset feedback time node, and generate a feedback data packet. The central control unit includes: A first processing module is configured to set a first-level device strategy of each operation area according to a preset ventilation planning model and all characteristic data packets. The characteristic data packet includes structure characteristic parameters and expected ventilation demand. A second processing module is configured to establish a correlation model, and set a redundancy device strategy according to the correlation model. A third processing module is configured to set a device arrangement plan of the water-sealed cavern group according to the redundancy device strategy and all first-level device strategies. A correction module is configured to determine whether to generate a correction strategy according to a preset feedback time node. A first segmentation module is configured to pre-segment the water-sealed cavern group according to a preset structure segmentation model, and generate a plurality of initial sub-areas. An initial sub-area sequence P is established, P = (p1, p2…p i…p n1 ), wherein p i is the i-th initial sub-region; n1 is the initial sub-region number; p i is sequentially set as the target sub-region; a ventilation demand value b of the target sub-region is generated; b= β i *k i ; wherein θ1 is a ventilation demand index; β i is an influence factor of the i-th ventilation demand index; k i is a reference value of the i-th ventilation demand index in the target sub-region; a ventilation demand value of each initial sub-region is generated; a ventilation demand value sequence B, B=(b1, b2…b i …b n1 ), is established, wherein b i is the ventilation demand value of the i-th initial sub-region; a plurality of operation regions are established according to all the ventilation demand values; an operation region sequence A, A=(a1, a2…a i …a n ), is established, wherein a i is the i-th operation region; n is the operation region number, and n1≥n.

[0016] In some embodiments of the present application, the first processing module is further configured to: a target operation region a i is sequentially set according to the operation region sequence A; a feature data packet of the target operation region is acquired; a plurality of arrangement points are generated according to the expected ventilation demand of the target operation region; a structure feature packet of each arrangement point is generated according to the structure feature parameter of the target operation region; an arrangement sub-strategy of each arrangement point is generated according to the ventilation planning model and all the feature data packets; an arrangement sub-strategy sequence D, D=(d1, d2…d i …d m ), is established, wherein d i is the arrangement sub-strategy of the i-th arrangement point in the target operation region; m is the arrangement point number a primary fusion sequence is generated according to all the arrangement points; a first sub-strategy is selected from the arrangement sub-strategy sequence D according to the primary fusion sequence; a primary ventilation simulation value H1 is generated according to the simulation results of all the arrangement sub-strategies; Generate a secondary ventilation simulation value H2 according to the simulation results of the remaining arrangement sub-strategies after eliminating the first sub-strategy; Generate an impact evaluation value f of the first sub-strategy; f=U1*(H2-H1), where U1 is the first conversion coefficient; Preset impact evaluation value threshold F1; If f <F1,剔除第一子策略; If f>F1, set the first sub-strategy as the device sub-strategy; Update the arrangement sub-strategy sequence D; Select the second sub-policy according to the first-level fusion order, and determine whether the second sub-policy is a device sub-policy; Repeat the iteration to select all device sub-strategies; Generate a first-level device policy for the target operating area based on all device sub-policies; Generate the first-level device policy for each operating area in turn.

[0017] Compared with the prior art, the ventilation equipment arrangement method and system for a water-sealed cavern group in the embodiment of the present application has the following beneficial effects: Multiple operating areas are constructed based on the structural parameters of the water-sealed cavern group. Multiple primary equipment strategies and redundant equipment strategies are generated according to the preset ventilation planning model. This enables rapid planning of ventilation equipment within the water-sealed cavern group and improves overall layout efficiency.

[0018] Based on multi-level planning, after arranging the ventilation equipment within each operating area, a redundant equipment strategy is generated to improve the ventilation efficiency and fault resistance of each operating area, thereby avoiding the impact of deviations in the actual operating results of the configuration or operational failures in some operating areas on the ventilation efficiency within the water-sealed cavern group, and ensuring the safe operation of the water-sealed cavern group. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of a method for arranging ventilation equipment for a water-sealed cavern group in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0020] The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0021] In the description of the present application, it needs to be understood that the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0022] The terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise stated, the meaning of "multiple" is two or more.

[0023] In the description of the present application, it needs to be explained that unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through intermediate medium, or the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0024] As Figure 1 shown, the method for arranging ventilation equipment of a water-sealed cavern group according to the preferred embodiment of the present application comprises: S101: setting multiple operation areas according to the structure parameters of the water-sealed cavern group, and obtaining the feature data package of each operation area; S102: setting the primary equipment strategy of each operation area according to the preset ventilation planning model and all feature data packages, and setting the redundant equipment strategy according to the preset correlation model; S103: setting the equipment arrangement plan of the water-sealed cavern group according to the redundant equipment strategy and all primary equipment strategies, and judging whether to generate a correction strategy according to the preset feedback time node; Among them, the feature data package includes: structure feature parameters and expected ventilation demand.

[0025] Specifically, the ventilation planning model is constructed according to the historical arrangement parameters, which includes multiple categories of arrangement points and the ventilation equipment parameters required by each category of arrangement points in the ventilation planning model, Specifically, by processing the historical arrangement parameters, multiple structure features are extracted to construct multiple types of arrangement points.

[0026] Specifically, when setting multiple operating areas, including: Pre-segment the water-sealed cavern group according to the preset structural segmentation model and generate multiple initial sub-areas; Establish the initial sub-region sequence P, P=(p1, p2…p i …p n1 ), where p i is the i-th initial sub-region; n1 is the number of initial sub-regions; Set p in sequence i is the target sub-region; Generate ventilation demand value b of target sub-area; b= β i *k i ]; Among them, θ1 is the ventilation demand index; β i is the influencing factor of the i-th ventilation demand index; k i is the reference value of the ventilation demand index in the target sub-area; Generate ventilation demand values ​​for each initial sub-area; Establish ventilation demand value series B, B=(b1,b2…b i …b n1 ), where b i is the ventilation demand value of the i-th initial sub-area; Establish multiple operating areas according to the total ventilation demand value; Establish the operation area sequence A, A=(a1, a2…a i …a n ), where a i is the i-th operating area; n is the number of operating areas, and n1≥n.

[0027] Specifically, the structural segmentation model is divided according to the number of main caverns in the water-sealed cavern group, thereby constructing multiple initial sub-regions, where a single initial sub-region has only one main cavern.

[0028] Specifically, ventilation demand indicators include but are not limited to the air volume demand of the main cavern, the expected concentration of harmful gases, the number of airflow dead corners and other parameters. By quantifying each ventilation demand indicator, the complexity of the ventilation equipment required for each initial sub-area is quantitatively evaluated.

[0029] Specifically, the influencing factors of various ventilation demand indicators can be set according to the degree of their influence on the layout of ventilation equipment. The greater the degree of influence, the larger the value of the corresponding influencing factor.

[0030] The larger the ventilation demand value is, the more complex the ventilation equipment required for the initial sub-area is.

[0031] Specifically, when the plurality of operation areas are established according to the total ventilation demand value, the method comprises: establishing a first correlation table of all initial sub-areas according to the correlation model; presetting a ventilation demand value threshold B1; if b i >B1, setting the ith initial sub-area as a first sub-area; if b i <B1, setting the ith initial sub-area as a second sub-area; generating fusion instructions of each second sub-area according to the first correlation table; establishing a plurality of operation areas based on all fusion instructions.

[0032] Specifically, the ventilation demand value threshold is set according to historical parameters. When the ventilation demand value of a single initial sub-area is lower than the preset ventilation demand value threshold, it indicates that the ventilation equipment required in the initial sub-area is relatively simple, and the initial sub-area needs to be merged into a first sub-area, thereby reducing the number of operation areas and the calculation amount of the overall ventilation equipment layout optimization in the water-sealed cavern group.

[0033] Specifically, the correlation relationship between the initial sub-areas is generated according to the distance between the main caverns corresponding to each initial sub-area. If the distance between two main caverns is less than a preset first distance threshold (which can be set according to historical parameters), the initial sub-areas corresponding to the two main caverns are correlated sub-areas. The first correlation table is established according to the correlation relationship between the initial sub-areas.

[0034] Specifically, the fusion instruction refers to obtaining all correlated sub-areas of the current second sub-area according to the first correlation table, setting the fusion screening conditions of the to-be-fused sub-area: being a first sub-area, not having been fused, and having the minimum ventilation demand value among all correlated sub-areas. The to-be-fused sub-area of the current second sub-area is selected according to the screening result, the second sub-area and the to-be-fused sub-area are fused, and a new first sub-area is generated according to the fusion result.

[0035] Specifically, all new first sub-areas generated by fusion and all remaining first sub-areas not fused are set as operation areas.

[0036] It can be understood that in the above embodiment, the water-sealed cavern group is segmented based on the preset segmentation model, a plurality of operation areas are established according to the fusion instructions, and the ventilation equipment layout of each operation area is optimized, thereby realizing rapid planning of the internal ventilation equipment of the water-sealed cavern group and improving the overall layout efficiency.

[0037] In the preferred embodiment of the present application, when setting the primary equipment strategy of each operation area, the following steps are included: According to the operation area sequence A, a is set in turn i For the target operation area; Obtain the feature data packet of the target operation area; Generate a plurality of arrangement points according to the expected ventilation demand of the target operation area; Generate a structure feature packet for each arrangement point according to the structure feature parameters of the target operation area; Generate an arrangement sub-strategy for each arrangement point according to the ventilation planning model and all feature data packets; Generate the primary equipment strategy of the target operation area according to the fusion result of all arrangement sub-strategies; Generate the primary equipment strategy of each operation area in turn.

[0038] Specifically, the arrangement sub-strategy includes the type of ventilation equipment required by the current arrangement point. The ventilation equipment categories include but are not limited to different types of fans, air handling and conveying equipment, dampers, air valves, gas monitoring and control equipment, pressure regulating equipment, etc. The arrangement sub-strategy also includes the controllable adjustment range of air volume and air speed for each arrangement point.

[0039] Specifically, the structure parameters of the target operation area are analyzed, and all points that can be built with ventilation equipment are set as arrangement points.

[0040] Specifically, when generating the primary equipment strategy of the target operation area, the following steps are included: Establish an arrangement sub-strategy sequence D, D=(d1, d2…d i …d m ), where d i is the arrangement sub-strategy of the i-th arrangement point in the target operation area; m is the number of arrangement points Generate a primary fusion order according to all arrangement points; Select a first sub-strategy from the arrangement sub-strategy sequence D according to the primary fusion order; Generate a primary ventilation simulation value H1 according to the simulation results of all arrangement sub-strategies; Generate a secondary ventilation simulation value H2 according to the simulation results of the remaining arrangement sub-strategies after excluding the first sub-strategy; Generate an impact evaluation value f for the first sub-strategy; f=U1*(H2-H1), where U1 is the first conversion coefficient; Pre-set an impact evaluation threshold F1; If f<F1, exclude the first sub-strategy; If f>F1, set the first sub-strategy as the equipment sub-strategy; Update the arrangement sub-strategy sequence D; According to the first fusion sequence, a second sub-strategy is selected, and it is judged whether the second sub-strategy is a device sub-strategy; Repeat iteration, select all device sub-strategies; According to all device sub-strategies, a first device strategy of the target operating area is generated.

[0041] Specifically, all arrangement sub-strategies are embedded in a preset ventilation simulation model to simulate the ventilation simulation of the target area. According to the simulation result, a corresponding first ventilation simulation value or a second ventilation simulation value is generated. The larger the ventilation simulation value is, the higher the expected ventilation efficiency in the target operating area is.

[0042] Specifically, the structural characteristics of each arrangement point are judged to generate a corresponding structural complexity. According to the order from low to high of the structural complexity, all arrangement points are arranged, thereby generating a first fusion sequence. In the first fusion sequence, the earlier the arrangement point is, the smaller the ventilation demand is.

[0043] Specifically, the structural complexity can be comprehensively evaluated according to the position (main cavern, branch, etc.) of the arrangement point, ventilation demand, etc. The higher the structural complexity is, the more important the position of the current arrangement point is, and the higher the ventilation demand is.

[0044] Specifically, the feature data packet of each arrangement point is processed according to the ventilation planning model. It is judged whether a single arrangement point is an arrangement point category that already exists in the ventilation planning model. If yes, the corresponding ventilation equipment parameters of the arrangement point are called to generate the arrangement sub-strategy of the arrangement point. If not, the ventilation equipment parameters corresponding to the arrangement point category with the highest similarity are selected, and the arrangement sub-strategy of the arrangement point is generated after appropriate optimization.

[0045] Specifically, (H2-H1) is quantitatively processed by a preset first conversion coefficient, so that the larger (H2-H1) is, the larger the influence evaluation value is.

[0046] Specifically, the larger the influence evaluation value is, the greater the influence degree of the arrangement sub-strategy on the global ventilation efficiency of the target operating area is.

[0047] Specifically, when updating the arrangement sub-strategy sequence D, if the first sub-strategy is removed, the corresponding arrangement sub-strategy is removed in the arrangement sub-strategy. Therefore, when judging the subsequent arrangement sub-strategy, the first sub-strategy does not participate in the simulation. If the first strategy is not removed, the new arrangement sub-strategy sequence D maintains the current state. Similarly, after judging each arrangement sub-strategy, the arrangement sub-strategy sequence is updated according to the above rules.

[0048] It can be understood that, in the above embodiment, by analyzing the structure of a single operation area, all position points where the ventilation equipment can be arranged are quickly selected, each arrangement point is set with an arrangement sub-strategy through a preset ventilation planning model, and through subsequent collaborative simulation, inappropriate arrangement sub-strategies are eliminated, so that the ventilation equipment arrangement optimization of the operation area is quickly completed.

[0049] In the preferred embodiment of the embodiment, when the redundancy equipment strategy is set according to the preset association model, the following steps are included: A secondary association table of all operation areas is established according to the preset association model; The redundancy demand value g of the operation area to be evaluated is set according to the operation area sequence A in turn; i The operation area to be evaluated is set according to the operation area sequence A in turn; The redundancy demand value g of the operation area to be evaluated is generated according to the secondary association table; g=α*(s'-s); α=U2*[ η i *s i ]; Wherein, s is the ventilation efficiency value of the operation area to be evaluated; s' is the preset ventilation efficiency value threshold; α is the compensation coefficient; θ2 is the number of associated operation areas of the operation area to be evaluated generated according to the secondary association table; η i is the influence factor of the i th associated operation area of the operation area to be evaluated; s i is the ventilation efficiency value of the i th associated operation area of the operation area to be evaluated; U2 is the preset second conversion coefficient; The preset redundancy demand value threshold G1 is set; If g>G1, the redundancy sub-strategy of the operation area to be evaluated is generated; Whether each operation area generates a redundancy sub-strategy is judged in turn, and the redundancy equipment strategy is generated according to all redundancy sub-strategies.

[0050] Specifically, the association between each operation area and the corresponding main cavern (if the operation area is processed by fusion, the main cavern of the operation area is the main cavern of the primary sub-region corresponding to the operation area before fusion) is established according to the distance parameter between the main caverns. If the distance between the main caverns corresponding to two operation areas is less than the preset secondary distance threshold, the current two operation areas are associated operation areas.

[0051] Specifically, the redundancy demand value threshold can be set according to historical parameters.

[0052] Specifically, the ventilation efficiency value is generated by weighting the ventilation simulation values ​​of each equipment sub-strategy generated based on the simulation results of all equipment sub-strategies in the operating area to be evaluated. The weight coefficient of each equipment sub-strategy is set according to the structural complexity of its corresponding layout point, and the sum of all weight coefficients is 1.

[0053] Specifically, the ventilation efficiency value threshold is the ventilation efficiency value when the operating area is in an ideal ventilation state.

[0054] Specifically, the larger the ventilation efficiency value is, the better the overall ventilation effect of the operating area to be evaluated is, the more reasonable the layout of each ventilation equipment is, and the higher the collaborative work efficiency is.

[0055] Specifically, the impact factor of each associated operating area is set according to its correlation with the operating area to be evaluated. The greater the correlation, the greater the value of the corresponding impact factor.

[0056] Specifically, by presetting the second conversion coefficient, the value of the compensation coefficient α is within the preset value range, and [ η i *s i The larger the value of ], the larger the value of the corresponding compensation coefficient α.

[0057] Specifically, the compensation coefficient α is always greater than 1, which is related to [ η i *s i ] value mapping relationship can be set according to historical parameters.

[0058] Specifically, when generating a redundant device policy based on all redundant sub-policies, the following are included: Establish a redundant sub-strategy sequence V, V=(v1, v2…v i …v m1 ), where v i is the i-th redundant sub-strategy; m1 is the number of redundant sub-strategies, and m1 <m; Set the redundant sub-strategy v1 as the first redundant strategy, generating the first redundant strategy benefit evaluation value c; c=r*[T1-T2]; r=U3*[ µ i *e i ]; Where r is the correction coefficient; T1 is the primary benefit value; T2 is the secondary benefit value; U3 is the preset third conversion coefficient; θ3 is the number of auxiliary benefit indicators; µ i is the impact factor of the i-th auxiliary benefit indicator; e i is the reference value of the i-th auxiliary benefit indicator in the first redundancy strategy; A preset benefit evaluation value threshold C1 is set. If c < C1, the first redundancy strategy is eliminated. If c > C1, the first redundancy strategy is set as a first-level redundancy strategy. A redundancy sub-strategy sequence V is updated. A second redundancy strategy is selected, and it is determined whether the second redundancy strategy is a first-level redundancy strategy. The iteration is repeated to select all first-level redundancy strategies. A redundancy device strategy is generated according to all first-level redundancy strategies.

[0059] Specifically, the redundancy sub-strategy includes a standby ventilation device parameter added in the current operation area, and the anti-fault risk capability and ventilation efficiency inside the water-sealed cavern group are improved by adding the redundancy sub-strategy, so as to avoid the influence of the actual operation effect deviation or operation failure of part of the operation area on the ventilation efficiency of the water-sealed cavern group, and ensure the safe operation of the water-sealed cavern group.

[0060] Specifically, the first-level benefit value T1 is the increase value of the anti-fault risk capability and ventilation efficiency of the entire water-sealed cavern group after adding all redundancy sub-strategies. The second-level benefit value T2 is the increase value of the anti-fault risk capability and ventilation efficiency of the entire water-sealed cavern group according to the remaining redundancy sub-strategies after eliminating the first redundancy strategy.

[0061] Specifically, the auxiliary benefit indicators include but are not limited to the arrangement cost of the redundancy sub-strategy, the change ability (i.e. the more work required for arrangement and disassembly, the weaker the change ability), and other parameters.

[0062] Specifically, the greater the value of each auxiliary benefit indicator, the more beneficial the corresponding parameter is to implementation. For example, the lower the arrangement cost, the greater the reference value of the corresponding auxiliary benefit indicator, and the stronger the change ability, the greater the reference value of the corresponding auxiliary benefit indicator.

[0063] Specifically, the influence factor of each auxiliary benefit indicator can be set according to historical parameters.

[0064] Specifically, the preset third conversion coefficient is used to make the value range of the correction coefficient r within a preset interval, and the correction coefficient r can be greater than 1 or less than 1. Specifically, the value mapping relationship between the correction coefficient r and [ µ i *e i ] can be set according to historical parameters.

[0065] Specifically, the rule for updating the redundancy sub-strategy sequence V is the same as the rule for updating the arrangement sub-strategy sequence D.

[0066] In the preferred embodiment of the present application, when determining whether to generate a correction strategy according to the preset feedback time node, the following is included: obtaining feedback data packets according to the preset feedback time node; generating ventilation abnormal values of each operation area according to the feedback data packets, and generating an operation risk value w according to all the ventilation abnormal values; presetting an operation risk value threshold W1; if w>W1, generating a first-level correction instruction, and generating a correction strategy according to the first-level correction instruction.

[0067] Specifically, the feedback data packets include actual ventilation parameters of each operation area. By analyzing multiple parameters such as ventilation efficiency, airflow dead angle number, and influence degree of water seal pressure, corresponding ventilation abnormal values are generated. The larger the ventilation abnormal value is, the lower the ventilation efficiency in the corresponding operation area is, and the greater the possibility of operation risk is.

[0068] Specifically, the operation risk value is generated according to the sum of all the ventilation abnormal values.

[0069] Specifically, the operation risk value threshold can be set according to historical parameters. The first-level correction instruction indicates that the ventilation equipment arrangement in the current water seal cavern group cannot meet the overall demand, and optimization of the arrangement is required. The optimized arrangement parameters are fed back to the ventilation planning model for optimization iteration. Based on the ventilation equipment arrangement method of the water seal cavern group in any of the above preferred embodiments, another preferred embodiment of the ventilation equipment arrangement method of the water seal cavern group is provided. In the preferred embodiment, a ventilation equipment arrangement system of a water seal cavern group is provided, which includes: a central control unit configured to set a plurality of operation areas according to structure parameters of the water seal cavern group; a monitoring unit configured to collect feature data packets of each operation area; The feature data packets include structure feature parameters and expected ventilation demand. The central control unit is further configured to collect operation data of each operation area according to a preset feedback time node, and generate feedback data packets; The central control unit includes: a first processing module configured to set a first-level equipment strategy of each operation area according to a preset ventilation planning model and all the feature data packets; The feature data packets include structure feature parameters and expected ventilation demand. a second processing module configured to establish a correlation model, and set a redundant equipment strategy according to the correlation model; a third processing module configured to set an equipment arrangement plan of the water seal cavern group according to the redundant equipment strategy and all the first-level equipment strategies; a correction module configured to determine whether to generate a correction strategy according to a preset feedback time node; The first segmentation module pre-segments the water-sealed cavern group according to a preset structural segmentation model and generates multiple initial sub-regions; Establish the initial sub-region sequence P, P=(p1, p2…p i …p n1 ), where p i is the i-th initial sub-region; n1 is the number of initial sub-regions; Set p in sequence i is the target sub-region; Generate ventilation demand value b of target sub-area; b= β i *k i ]; Among them, θ1 is the ventilation demand index; β i is the influencing factor of the i-th ventilation demand index; k i is the reference value of the ventilation demand index in the target sub-area; Generate ventilation demand values ​​for each initial sub-area; Establish ventilation demand value series B, B=(b1,b2…b i …b n1 ), where b i is the ventilation demand value of the i-th initial sub-area; Establish multiple operating areas according to the total ventilation demand value; Establish the operation area sequence A, A=(a1, a2…a i …a n ), where a i is the i-th operating area; n is the number of operating areas, and n1≥n.

[0070] In a preferred embodiment of the present application, the first processing module is further configured to: Set a in sequence according to the operation area sequence A i The target operating area; Obtain characteristic data packets of the target operating area; Generate multiple layout points based on the expected ventilation needs of the target operating area; Generate a structural feature package of each layout point according to the structural feature parameters of the target operation area; Generate layout sub-strategies for each layout point based on the ventilation planning model and all feature data packages; Establish a sequence of sub-strategies D, D = (d1, d2…d i …d m ), where d i is the layout sub-strategy of the i-th layout point in the target operation area; m is the number of layout points Generate a first-level fusion sequence according to all arrangement points; Select a first sub-strategy in the arrangement sub-strategy sequence D according to the first-level fusion sequence; Generate a first-level ventilation simulation value H1 according to simulation results of all arrangement sub-strategies; Generate a second-level ventilation simulation value H2 according to simulation results of remaining arrangement sub-strategies after removing the first sub-strategy; Generate an influence evaluation value f of the first sub-strategy; f=U1*(H2-H1), wherein U1 is a first conversion coefficient; Pre-set an influence evaluation value threshold F1; If f<F1, remove the first sub-strategy; If f>F1, set the first sub-strategy as a device sub-strategy; Update the arrangement sub-strategy sequence D; Select a second sub-strategy according to the first-level fusion sequence, and determine whether the second sub-strategy is a device sub-strategy; Repeat iteration to select all device sub-strategies; Generate a first-level device strategy of a target operation area according to all device sub-strategies; Generate first-level device strategies of all operation areas in sequence.

[0071] According to the first concept of the present application, multiple operation areas are constructed based on structural parameters of the water-sealed cavern group, multiple first-level device strategies and redundant device strategies are generated according to a pre-set ventilation planning model, the internal ventilation devices of the water-sealed cavern group are rapidly planned, and the overall arrangement efficiency is improved.

[0072] According to the second concept of the present application, after arranging the ventilation devices in each operation area based on multi-level planning, the ventilation efficiency and fault resistance of each operation area are improved by generating redundant device strategies, the influence of the deviation or operation failure of the actual operation effect of part of the operation areas on the ventilation efficiency of the water-sealed cavern group is avoided, and the safe operation of the water-sealed cavern group is ensured.

[0073] The above only describes the preferred embodiments of the present application, and it should be noted that, for those skilled in the art, without departing from the technical principles of the present application, a number of improvements and replacements can be made, which should also be considered as the protection scope of the present application.

Claims

1. A method for arranging ventilation equipment for a water-sealed cavern group, characterized in that: including: setting multiple operation areas according to the structural parameters of the water-sealed cavern group, and obtaining the characteristic data packets of each operation area; setting the primary equipment strategies of each operation area according to the preset ventilation planning model and all the characteristic data packets, and setting the redundant equipment strategy according to the preset association model; setting the equipment layout plan of the water-sealed cavern group according to the redundant equipment strategy and all the primary equipment strategies, and judging whether to generate a correction strategy according to the preset feedback time node; wherein, the characteristic data packet includes: structural characteristic parameters and expected ventilation requirements.

2. The method for arranging ventilation equipment for a water-sealed cavern group according to claim 1, characterized in that: When setting multiple operation areas, it includes: pre-segmenting the water-sealed cavern group according to the preset structural segmentation model, and generating multiple initial sub-areas; Establish the initial sub-region sequence P, P=(p1, p2…p i …p n1 ), where p i is the i-th initial sub-region; n1 is the number of initial sub-regions; Set p in sequence i is the target sub-region; generating the ventilation demand value b of the target sub-area; b= b i *k i ]; Among them, θ1 is the ventilation demand index; β i is the influencing factor of the i-th ventilation demand index; k i is the reference value of the ventilation demand index in the target sub-area; generating the ventilation demand values of each initial sub-area; Establish ventilation demand value series B, B=(b1,b2…b i …b n1 ), where b i is the ventilation demand value of the i-th initial sub-area; establishing multiple operation areas according to all the ventilation demand values; Establish the operation area sequence A, A=(a1, a2…a i …a n ), where a i is the i-th operating area; n is the number of operating areas, and n1≥n.

3. The method for arranging ventilation equipment for a water-sealed cavern group according to claim 2, characterized in that: When establishing multiple operation areas according to all the ventilation demand values, it includes: establishing the primary association table of all the initial sub-areas according to the association model; presetting the ventilation demand value threshold B1; If b i >B1, set the i-th initial sub-region as the first-level sub-region; If b i <B1, set the i-th initial sub-region as a secondary sub-region; generating the fusion instructions of each secondary sub-area according to the primary association table; establishing multiple operation areas based on all the fusion instructions.

4. A method for arranging ventilation equipment for a water-sealed cavern group according to claim 3, characterized in that: When setting the primary equipment strategies of each operation area, it includes: Set a in sequence according to the operation area sequence A i The target operating area; obtaining the characteristic data packet of the target operation area; generating multiple layout points according to the expected ventilation demand of the target operation area; generating the structural characteristic packets of each layout point according to the structural characteristic parameters of the target operation area; generating the layout sub-strategies of each layout point according to the ventilation planning model and all the characteristic data packets; generating the primary equipment strategy of the target operation area according to the fusion result of all the layout sub-strategies; generating the primary equipment strategies of each operation area in sequence.

5. The method for arranging ventilation equipment for a water-sealed cavern group according to claim 4, characterized in that: When generating the primary equipment strategy of the target operation area, it includes: Establish a sequence of sub-strategies D, D = (d1, d2…d i …d m ), where d i is the layout sub-strategy of the i-th layout point in the target operation area; m is the number of layout points generating the primary fusion sequence according to all the layout points; selecting the first sub-strategy in the layout sub-strategy sequence D according to the primary fusion sequence; generating the primary ventilation simulation value H1 according to the simulation results of all the layout sub-strategies; generating the secondary ventilation simulation value H2 according to the simulation results of the remaining layout sub-strategies after excluding the first sub-strategy; generating the influence evaluation value f of the first sub-strategy; f = U1 * (H2 - H1), where U1 is the first conversion coefficient; presetting the influence evaluation value threshold F1; if f < F1, excluding the first sub-strategy; if f > F1, setting the first sub-strategy as the equipment sub-strategy; updating the layout sub-strategy sequence D; selecting the second sub-strategy according to the primary fusion sequence, and judging whether the second sub-strategy is an equipment sub-strategy; repeating the iteration to select all the equipment sub-strategies; generating the primary equipment strategy of the target operation area according to all the equipment sub-strategies.

6. A method for arranging ventilation equipment for a water-sealed cavern group according to claim 5, characterized in that: When setting the redundant equipment strategy according to the preset association model, it includes: establishing the secondary association table of all the operation areas according to the preset association model; Set a in sequence according to the operation area sequence A i The operating area to be evaluated; generating the redundant demand value g of the operation area to be evaluated according to the secondary association table; g = α * (s' - s); α=U2*[ or i *s i ]; Where s is the ventilation efficiency value of the operating area to be evaluated; s' is the preset ventilation efficiency value threshold; α is the compensation coefficient; θ2 is the number of associated operating areas of the operating area to be evaluated generated according to the secondary association table; η i is the impact factor of the i-th associated operating area of ​​the operating area to be evaluated; s i is the ventilation efficiency value of the i-th associated operating area of ​​the operating area to be evaluated; U2 is the preset second conversion coefficient; presetting the redundant demand value threshold G1; if g > G1, generating the redundant sub-strategy of the operation area to be evaluated; judging whether each operation area generates a redundant sub-strategy in sequence, and generating the redundant equipment strategy according to all the redundant sub-strategies.

7. The method for arranging ventilation equipment for a water-sealed cavern group according to claim 6, characterized in that: When generating the redundant equipment strategy according to all the redundant sub-strategies, it includes: Establish a redundant sub-strategy sequence V, V=(v1, v2…v i …v m1 ), where v i is the i-th redundant sub-strategy; m1 is the number of redundant sub-strategies, and m1 <m; Set the redundant sub-strategy v1 as the first redundant strategy, and generate the benefit evaluation value c of the first redundant strategy; c = r * [T1 - T2]; r=U3*[ µ i *e i ]; Where r is the correction coefficient; T1 is the primary benefit value; T2 is the secondary benefit value; U3 is the preset third conversion coefficient; θ3 is the number of auxiliary benefit indicators; µ i is the impact factor of the i-th auxiliary benefit indicator; e i is the reference value of the i-th auxiliary benefit indicator in the first redundancy strategy; Preset the benefit evaluation value threshold C1; If c < C1, eliminate the first redundant strategy; If c > C1, set the first redundant strategy as the first-level redundant strategy; Update the redundant sub-strategy sequence V; Select the second redundant strategy and determine whether the second redundant strategy is a first-level redundant strategy; Repeat the iteration to select all first-level redundant strategies; Generate the redundant device strategy according to all first-level redundant strategies.

8. The method for arranging ventilation equipment for a water-sealed cavern group according to claim 7, characterized in that: When determining whether to generate a correction strategy according to the preset feedback time node, it includes: Obtain the feedback data packet according to the preset feedback time node; Generate the ventilation anomaly value of each operation area according to the feedback data packet, and generate the operation risk value w according to all ventilation anomaly values; Preset the operation risk value threshold W1; If w > W1, generate a first-level correction instruction and generate a correction strategy according to the first-level correction instruction.

9. A ventilation equipment arrangement system for a water-sealed cavern group, using the ventilation equipment arrangement method for a water-sealed cavern group according to any one of claims 1 to 8, characterized in that: It includes: The central control unit is used to set multiple operation areas according to the structural parameters of the water-sealed cavern group; The monitoring unit is used to collect the characteristic data packets of each operation area; The characteristic data packet includes: structural characteristic parameters and expected ventilation requirements; The central control unit is also used to collect the operation data of each operation area according to the preset feedback time node and generate a feedback data packet; The central control unit includes: The first processing module is used to set the first-level equipment strategy of each operation area according to the preset ventilation planning model and all characteristic data packets; The characteristic data packet includes: structural characteristic parameters and expected ventilation requirements; The second processing module is used to establish an association model and set the redundant device strategy according to the association model; The third processing module is used to set the equipment layout plan of the water-sealed cavern group according to the redundant device strategy and all first-level equipment strategies; The correction module is used to determine whether to generate a correction strategy according to the preset feedback time node; The first segmentation module pre-segments the water-sealed cavern group according to the preset structure segmentation model and generates multiple initial sub-areas; Establish the initial sub-region sequence P, P=(p1, p2…p i …p n1 ), where p i is the i-th initial sub-region; n1 is the number of initial sub-regions; Set p in sequence i is the target sub-region; Generate the ventilation demand value b of the target sub-area; b= b i *k i ]; Among them, θ1 is the ventilation demand index; β i is the influencing factor of the i-th ventilation demand index; k i is the reference value of the ventilation demand index in the target sub-area; Generate the ventilation demand values of each initial sub-area; Establish ventilation demand value series B, B=(b1,b2…b i …b n1 ), where b i is the ventilation demand value of the i-th initial sub-area; Establish multiple operation areas according to all ventilation demand values; Establish the operation area sequence A, A=(a1, a2…a i …a n ), where a i is the i-th operating area; n is the number of operating areas, and n1≥n.

10. A ventilation equipment arrangement system for a water-sealed cavern group according to claim 9, characterized in that: The first processing module is also used for: Set a in sequence according to the operation area sequence A i The target operating area; Obtain the characteristic data packet of the target operation area; Generate multiple layout points according to the expected ventilation requirements of the target operation area; Generate the structural characteristic packets of each layout point according to the structural characteristic parameters of the target operation area; Generate the layout sub-strategies of each layout point according to the ventilation planning model and all characteristic data packets; Establish a sequence of sub-strategies D, D = (d1, d2…d i …d m ), where d i is the layout sub-strategy of the i-th layout point in the target operation area; m is the number of layout points Generate the first-level fusion sequence according to all layout points; Select the first sub-strategy in the layout sub-strategy sequence D according to the first-level fusion sequence; Generate the first-level ventilation simulation value H1 according to the simulation results of all layout sub-strategies; Generate the second-level ventilation simulation value H2 according to the simulation results of the remaining layout sub-strategies after eliminating the first sub-strategy; Generate the influence evaluation value f of the first sub-strategy; f = U1 * (H2 - H1), where U1 is the first conversion coefficient; Preset the influence evaluation value threshold F1; If f < F1, eliminate the first sub-strategy; If f > F1, set the first sub-strategy as the equipment sub-strategy; Update the layout sub-strategy sequence D; Select the second sub-policy according to the first-level fusion order, and determine whether the second sub-policy is a device sub-policy; Repeat the iteration to select all device sub-strategies; Generate a first-level device policy for the target operating area based on all device sub-policies; Generate the first-level device policy for each operating area in turn.

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