CN112049685B - Air volume adjustment method, device, equipment and storage medium for mine ventilation system - Google Patents
Air volume adjustment method, device, equipment and storage medium for mine ventilation system Download PDFInfo
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- E21F1/00—Ventilation of mines or tunnels; Distribution of ventilating currents
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
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Abstract
本发明公开了一种矿井通风系统的风量调节方法、装置、设备及存储介质。该方法包括：对矿井通风系统的通风网络进行通路搜索，确定独立通路集合；对独立通路集合中各通路基于通路阻力值进行排序，选取当前待调通路；确定当前待调通路中作为主动调阻分支的目标分支，并更新目标分支的调阻值；基于更新后的调阻值，重新执行对独立通路集合中各通路基于通路阻力值进行排序，从未调节的通路中选取当前待调通路，及更新当前待调通路中作为主动调阻分支的目标分支的调阻值；直至独立通路集合中的所有通路调节完毕；基于各通路的主动调阻分支的调阻值，选取用于风阻调节的风阻调节分支；调节级数用于表征所在分支支持的风阻调节性能的大小。
The invention discloses an air volume adjustment method, device, equipment and storage medium of a mine ventilation system. The method includes: conducting a path search on a ventilation network of a mine ventilation system to determine a set of independent paths; sorting each path in the set of independent paths based on the path resistance value, and selecting a current path to be adjusted; determining the current path to be adjusted as an active resistance adjustment The target branch of the branch, and update the resistance adjustment value of the target branch; based on the updated resistance adjustment value, re-execute the sorting of each channel in the independent channel set based on the channel resistance value, and select the current channel to be adjusted from the unregulated channels, and update the resistance adjustment value of the target branch as the active resistance adjustment branch in the current path to be adjusted; until all the channels in the independent channel set are adjusted; based on the resistance adjustment value of the active resistance adjustment branch of each channel, select the Wind resistance adjustment branch; the adjustment level is used to characterize the size of the wind resistance adjustment performance supported by the branch.
Description
Technical Field
The invention relates to the field of mine ventilation systems, in particular to an air volume adjusting method, device, equipment and storage medium of a mine ventilation system.
Background
The mine ventilation system grasps the underground life line, and the safety and reliability of the mine ventilation system are important guarantees of normal underground production operation. The ventilation network regulation and control method is used for guiding the arrangement of underground mine ventilation regulation and control facilities, can provide reliable technical guarantee for a mine ventilation system, and has important significance for preventing accidents and reducing ventilation cost.
In the related art, in order to improve the ventilation effect of a mine ventilation system, it is urgently needed to determine a wind resistance adjusting position so as to optimize the distribution of roadway air volume.
Disclosure of Invention
In view of this, embodiments of the present invention provide an air volume adjusting method, an air volume adjusting device, an air volume adjusting apparatus, and a storage medium for a mine ventilation system, which aim to determine a wind resistance adjusting position to optimize distribution of roadway air volume.
The technical scheme of the embodiment of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides an air volume adjusting method for a mine ventilation system, including:
acquiring a ventilation network of a mine ventilation system;
performing access search on the ventilation network, and determining an independent access set;
sorting the passages in the independent passage set based on the passage resistance values, and selecting the passage with the largest passage resistance value from the unconditioned passages as the current passage to be adjusted;
determining a target branch serving as an active resistance adjusting branch in the current path to be adjusted based on the adjusting stage number of each branch in the current path to be adjusted, updating the target branch serving as the resistance adjusting value of the active resistance adjusting branch based on the resistance adjusting value of the current path to be adjusted, and correspondingly updating the resistance adjusting value of the target branch serving as a passive resistance adjusting branch in other paths;
based on the updated resistance trimming value, re-executing the sequence of the paths in the independent path set based on the path resistance value, selecting the path with the maximum path resistance value from the paths which are not adjusted as the current path to be trimmed, determining a target branch which is used as an active resistance trimming branch in the current path to be trimmed based on the adjusting stage number of each branch in the current path to be trimmed, and updating the target branch as the resistance trimming value of the active resistance trimming branch and the resistance trimming value of the target branch which is used as a passive resistance trimming branch in other paths based on the resistance trimming value of the current path to be trimmed; until all the channels in the independent channel set are adjusted;
selecting a wind resistance adjusting branch for wind resistance adjustment based on the resistance adjusting value of the active resistance adjusting branch of each channel;
and the adjusting stage number is used for representing the size of the wind resistance adjusting performance supported by the branch.
In a second aspect, an embodiment of the present invention further provides an air volume adjusting device for a mine ventilation system, including:
the acquisition module is used for acquiring a ventilation network of a mine ventilation system;
the passage searching module is used for searching the passages of the ventilation network and determining an independent passage set;
the path selection module is used for sequencing all paths in the independent path set based on path resistance values, and selecting the path with the maximum path resistance value from the paths which are not regulated as the current path to be regulated;
the resistance adjusting updating module is used for determining a target branch serving as an active resistance adjusting branch in the current path to be adjusted based on the adjusting stage number of each branch in the current path to be adjusted, updating the target branch serving as the resistance adjusting value of the active resistance adjusting branch based on the resistance adjusting value of the current path to be adjusted, and correspondingly updating the resistance adjusting value of the target branch serving as a passive resistance adjusting branch in other paths;
the path selection module is further configured to re-execute the sorting of the paths in the independent path set based on the path resistance values based on the updated resistance adjusting values, and select a path with the largest path resistance value from the paths that are not adjusted as the current path to be adjusted;
the resistance adjusting updating module is further configured to determine a target branch serving as an active resistance adjusting branch in the current path to be adjusted based on the adjustment stage number of each branch in the current path to be adjusted, and update the target branch serving as the resistance adjusting value of the active resistance adjusting branch and the resistance adjusting value of the target branch serving as a passive resistance adjusting branch in other paths based on the resistance adjusting value of the current path to be adjusted; until all the channels in the independent channel set are adjusted;
the resistance adjusting determining module is used for selecting a wind resistance adjusting branch for adjusting wind resistance based on the resistance adjusting value of the active resistance adjusting branch of each channel;
and the adjusting stage number is used for representing the size of the wind resistance adjusting performance supported by the branch.
In a third aspect, an embodiment of the present invention further provides an air volume adjusting device for a mine ventilation system, including: a processor and a memory for storing a computer program capable of running on the processor, wherein the processor, when running the computer program, is configured to perform the steps of the method according to an embodiment of the invention.
In a fourth aspect, an embodiment of the present invention further provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the method according to the embodiment of the present invention are implemented.
According to the technical scheme provided by the embodiment of the invention, the ventilation network of the mine ventilation system is subjected to path search, the independent path set is determined, and the wind resistance adjusting branch for wind resistance adjustment is selected based on the resistance adjusting value of the active resistance adjusting branch of each path in the independent path set, so that the arrangement of regulation and control facilities in the underground mine ventilation system can be guided, and the adjustment effect of roadway air volume distribution is optimized.
Drawings
FIG. 1 is a schematic flow chart of an air volume adjusting method of a mine ventilation system according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of an exemplary method of regulating stroke;
FIG. 3 is a flow chart of an improved path search algorithm in an application example;
FIG. 4 is a schematic diagram of ventilation network regulation for an exemplary application;
FIG. 5 is a schematic structural view of an air volume adjusting device of a mine ventilation system in an embodiment of the invention;
fig. 6 is a schematic structural view of an air volume adjusting device of a mine ventilation system in an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The embodiment of the invention provides an air volume adjusting method of a mine ventilation system, which comprises the following steps of:
102, performing access search on the ventilation network, and determining an independent access set;
103, sequencing all the passages in the independent passage set based on the passage resistance values, and selecting the passage with the largest passage resistance value from the unconditioned passages as a current passage to be adjusted;
and 106, selecting a wind resistance adjusting branch for adjusting wind resistance based on the resistance adjusting value of the active resistance adjusting branch of each channel.
In the embodiment of the invention, the adjusting stage number is used for representing the size of the wind resistance adjusting performance supported by the branch. For example, each branch in the ventilation network may set an adjustment stage according to production adjustment and roadway use, for example, as the adjustment stage increases, the wind resistance adjustment performance corresponding to the branch gradually decreases. In an application example, the adjusting levels of the branches are divided into 10 levels, wherein the 1 level is that the wind resistance adjusting performance is optimal, and the 10 levels are not adjustable. It will be appreciated that in other embodiments, the number of adjustment stages may increase as the windage adjustment performance increases.
In the embodiment of the invention, the path method adjustment is carried out according to the maximum resistance route, namely, a method for optimizing the setting place of the air window on the basis of balancing the pressure of a ventilation network by taking the air quantity distribution and the air resistance value of each branch as known conditions. The method of the embodiment of the invention can obtain an optimal path adjusting tree with an optimal wind resistance adjusting position, thereby obtaining a group of optimal resistance increasing adjusting solutions.
In some embodiments, said selecting a branch of windage regulation for windage regulation based on a tuning value of the branch of active tuning of each path comprises:
selecting a branch set with a modulation resistance value meeting the modulation requirement from the active resistance modulation branches of each passage;
and selecting the branch with the best wind resistance regulation performance from the branch set as the wind resistance regulation branch based on the regulation stage number.
In some embodiments, the determining, based on the number of adjustment stages of each branch in the current path to be adjusted, a target branch in the current path to be adjusted as an active resistance adjusting branch includes:
and selecting a branch with the best wind resistance adjusting performance and not used as an active adjusting branch of other paths from all branches of the current path to be adjusted as the target branch based on the adjusting stage number.
In some embodiments, before the updating the target branch as the resistance trimming value of the active resistance trimming branch based on the resistance trimming value of the current path to be trimmed, the method further includes:
and determining the resistance adjusting value of the current path to be adjusted based on the resistance value of the maximum resistance route of the independent path set and the resistance value of the current path to be adjusted.
In some embodiments, the performing a path search on the ventilation network to determine an independent path set includes:
based on the network topological relation of the ventilation network, converting the ventilation network into an equivalent single-source-sink network, and determining a search starting point and a search end point of the access search;
processing cut edges and cut points in the single-source convergence network;
and performing path search on the processed single-source convergence network based on a stack structure to generate an independent path set.
In some embodiments, the performing a path search on the processed single-source-sink network based on a stack structure includes:
initializing a stack structure, taking an air inlet branch as a current searching branch and stacking;
judging whether the stack structure is empty or not, and if so, judging that the path search is abnormal; if not, taking out the current searching node, judging whether the current searching node is a path terminal, if the current searching node is the path terminal or the current searching node has path searching information, finding a path, and circling a new path until the number of the paths reaches the set requirement; if the current searching node is not a path terminal and has no path searching information, traversing the branch associated with the current searching node, and performing stack pushing operation;
and for the new path, searching a new branch which does not appear on the searched path, returning to the initialized stack structure, and taking the air inlet branch as the current searching branch and stacking.
In some embodiments, the performing a push operation includes:
determining that the access attribute of the branch associated with the current search node is not accessed and the branch child node has no path information, and judging the access state of the branch child node;
if the branch child node is in a state to be accessed, the stack pushing is abnormal;
if the branch child node is in an unaccessed state; the branch child node pushes the stack;
and if the branch child node is in the accessed state, not processing.
The air volume adjusting method of the mine ventilation system in the embodiment of the invention is specifically described below by combining an application example.
As shown in fig. 2, in an application example, the air volume adjusting method includes:
Here, a ventilation network of the mine ventilation system may be obtained, assuming that the ventilation network is a ventilation network graph G (N, J) including N branches and J nodes, and a set of independent path sets T ═ P is obtained by using an independent path search algorithm1,P2,…Pi,…,PMIn which P isiRepresents the ith path, and M is N-J + 1.
Illustratively, the paths may be sorted in descending order based on path resistance values, forming an ordered set of paths.
The value of the passage resistance is calculated as follows:
wherein HiIndicates the resistance value of the ith passage, hijRepresenting the resistance value of the jth branch in the ith passage, Rj representing the wind resistance of the jth branch in the ith passage, QjRepresenting the j-th branch of the ith pathAnd (4) air volume.
And 203, selecting the current path to be adjusted, and calculating the resistance adjusting value of the current path to be adjusted.
Here, the current passage to be regulated selects the passage with the largest passage resistance value from the unconditioned passages.
For example, the resistance value of the current path to be adjusted may be determined based on the resistance value of the maximum resistance route of the independent path set and the resistance value of the current path to be adjusted, specifically as follows:
Hai＝Hmax-Hi,i＝1,2,…,M
wherein HaiThe resistance value required to be adjusted in the ith passage to be adjusted is shown, and Hmax is the resistance value of the maximum resistance route.
Here, a branch which has the best windage resistance adjustment performance and is not used as an active adjustment branch of other paths is selected from the branches of the current path to be adjusted as the target branch.
For example, assuming that the number of regulation stages increases with decreasing windage regulation performance, when a branch e on the path to be regulatedijSatisfies the following conditions: e.g. of the typeij∈PiAnd adjusting the number of stages (e)ij)＝min{PiThis branch is called the active resistance adjusting branch. At the same time, the regulating branch on the current path to be regulated should never be regulated before, so that the path to be regulated PiA certain regulating branch e ofijIt should also satisfy:
and eij∈{Pi-(P1∪P2∪…∪Pi-1)},i＝2,3,…k
After the active resistance adjusting branch is selected, the resistance adjusting value of the active resistance adjusting branch is updated according to the resistance adjusting value of the current path to be adjusted calculated in the step 203, and the resistance adjusting value of the branch expressed as a passive resistance adjusting branch in other paths is correspondingly updated.
Therefore, the resistance adjusting value of the active resistance adjusting branch corresponding to each channel can be obtained.
And step 206, selecting a wind resistance adjusting branch for wind resistance adjustment based on the resistance adjusting value of the active resistance adjusting branch of each channel.
Illustratively, a branch set with a resistance value meeting the regulation requirement is selected from the active resistance regulating branches of each passage;
and selecting the branch with the best wind resistance regulation performance from the branch set as the wind resistance regulation branch based on the regulation stage number.
In practical applications, if the number of the branches with the best wind resistance adjustment performance is multiple, that is, there are multiple branches with the same adjustment stage number, any one of the branches may be selected as the wind resistance adjustment branch. For example, the position is adjusted based on a 'moving wind window' method, and a wind resistance adjusting branch is selected.
In practical application, when the ventilation network is subjected to path search and an independent path set is determined, the problems that path search is incomplete, a one-way loop exists in a path, and complicated network search such as edge cutting and point cutting cannot be processed often exist. Based on this, the embodiment of the invention provides an improved path search algorithm, which can effectively solve the path search problem of the unidirectional loop.
Illustratively, the performing a path search on the ventilation network to determine an independent path set includes:
based on the network topological relation of the ventilation network, converting the ventilation network into an equivalent single-source-sink network, and determining a search starting point and a search end point of the access search;
processing cut edges and cut points in the single-source convergence network;
and performing path search on the processed single-source convergence network based on a stack structure to generate an independent path set.
Here, the independent path set refers to a set of linearly independent maximum path sets satisfying completeness from a source point to a sink point in a single source sink network. In order to satisfy the independence of the path, when searching for a new path, a new branch which does not exist in the searched path needs to be added, and simultaneously, the branches of the searched path are utilized as much as possible to ensure the completeness of the path.
When the path search is performed, when the starting point or the end point of the path search is located at the cut point or the end point of the cut edge, the path search may be abnormally interrupted or fall into a dead loop. Even in a strongly connected network, the path search may fail as long as there is a cut point. For example, when the start and end nodes of the path search are in a cut set at a certain side of a certain cut edge or cut point, the path search fails. Based on this, the embodiment of the invention removes the sub-networks connected by the cut edges and the cut points by executing a special network preprocessing process during the path searching.
In an application example, the cut edges and cut points in the network graph can be quickly solved based on a Tarjan algorithm, sub-networks connected by the cut edges and the cut points in the single-source convergence network are removed, and the processed single-source convergence network is obtained. Wherein, the cut edge refers to the edge which is not communicated with the graph after being deleted from the graph; a cut point is a point that is removed from the graph and the edge associated with the point that the graph is no longer connected, and is called a cut point.
In one example application, the improved path search algorithm is shown in fig. 3 and includes:
here, a network topology relationship may be automatically constructed according to a node-branch positional relationship of the ventilation network, a virtual branch and an end-to-end closed tunnel may be disconnected, and all nodes and branches may be set in an unaccessed state.
here, the air inlet and return branches are searched, the multi-inlet and multi-outlet air well network diagram is converted into an equivalent single-source collecting network, and the starting point and the end point of the path search are determined.
here, the cut edges and cut points in the network graph are quickly solved based on the Tarjan algorithm, and sub-networks connected by the cut edges and the cut points in the single-source-sink network are removed.
here, i represents the number of searched vias.
here, the pop operation fetches the current search node (top node of the stack).
here, it is determined whether the current search node is a path end point, if yes, it indicates that a path is found, and step 312 is executed; if not, go to step 308.
Step 308, judging whether path searching information exists; if yes, go to step 312; if not, go to step 309;
here, it is determined whether the current search node has path search information, if yes, a path can be found according to the existing path search information, and step 312 is executed; if not, go to step 309.
here, traversing the relevant branch of the current search node, and the stack pushing process flow specifically includes:
judging the access attribute of the associated branch, if the branch is accessed, not processing, and continuously traversing; if the branch is not accessed and the path search status bVisit of the branch child node is false (i.e. there is no path information), the access status of the branch child node is determined:
a) if the child node is in a state to be accessed, the stack pushing is abnormal;
b) if the child node is in an unaccessed state, setting the end node as a node to be accessed, pushing the child node, and recording father node information and the searched association branch; setting the branch accessed;
c) and if the child node is in the accessed state, no processing is performed, namely the node state is not required to be changed.
It is understood that each branch includes two nodes, a start node and a last node, and the initial state of each node is an unaccessed state; in the searching process, the accessed node is set to be in an accessed state; meanwhile, some nodes are set as nodes to be accessed (states to be accessed) according to the stack in and out operation, so that the next search can be carried out.
here, the pop operation is performed only in the case of a push failure. And returning the father node according to the father node information of the current searching node, simultaneously clearing the father node information of the child node and the searched associated branch information, and starting to search other branches associated with the father node.
here, in order to ensure the independence of the paths, a new branch that does not appear on the currently searched path needs to be searched and set as the currently searched branch. The new branches of all the path searches can finally form the remaining tree branches of one path tree.
Illustratively, the new branch search method includes: and searching each node in a breadth-first (BFS) sequence, ignoring the circled branches and the virtual branches until a new branch is found, backtracking to a path searching starting point according to a breadth-first searching tree, and storing the path (including path information) into the NdStack. Considering the directionality of the beginning and end nodes of the path, the beginning and end nodes of the new branch connected with the path need to be determined by a heuristic method.
Step 315, judging whether an unsearched branch exists, if so, executing step 316; if not, go to step 317;
Thus, based on the improved path search algorithm shown in the present application example, M paths, i.e., independent path sets, can be obtained.
Taking fig. 4 as an example, an improved independent path search algorithm is used to find a group of independent path sets, and the group of independent path sets is optimally adjusted. The independent path aggregation and network regulation process is shown in table 1 below:
TABLE 1
Wherein, the adjusting stage number of the branch is set and divided according to 10 stages, wherein, 1 stage is adjustable, and 10 stages are not adjustable. Adjusting the demand: the air volume of the branch e5(4) is reduced, and the adjusting stage is 4. The adjusting process comprises the following steps: the channel searching result is shown in the table, the channel adjusting pressure is calculated, and an optimal active resistance adjusting branch is selected as an adjusting branch of the channel according to the adjusting stage number. And (3) adjusting the result: and (3) carrying out resistance increasing adjustment on the branch e14(1), wherein the adjustment stage number is 1.
In order to realize the method of the embodiment of the invention, the embodiment of the invention also provides an air volume adjusting device of the mine ventilation system, the air volume adjusting device of the mine ventilation system corresponds to the air volume adjusting method of the mine ventilation system, and all steps in the air volume adjusting method of the mine ventilation system are also completely suitable for the embodiment of the air volume adjusting device of the mine ventilation system.
As shown in fig. 5, the air volume adjusting apparatus of the mine ventilation system includes: the device comprises an acquisition module 501, a path search module 502, a path selection module 503, a resistance adjusting update module 504 and a resistance adjusting determination module 505. Wherein:
the obtaining module 501 is configured to obtain a ventilation network of a mine ventilation system;
the path searching module 502 is configured to perform path searching on the ventilation network, and determine an independent path set;
the path selection module 503 is configured to sort the paths in the independent path set based on the path resistance values, and select a path with the largest path resistance value from the unconditioned paths as a current path to be adjusted;
the resistance adjusting updating module 504 is configured to determine a target branch serving as an active resistance adjusting branch in the current path to be adjusted based on the adjustment stage number of each branch in the current path to be adjusted, update the target branch serving as a resistance adjusting value of the active resistance adjusting branch based on a resistance adjusting value of the current path to be adjusted, and correspondingly update a resistance adjusting value of the target branch serving as a passive resistance adjusting branch in other paths;
the path selecting module 503 is further configured to re-execute the sorting of the paths in the independent path set based on the path resistance values based on the updated tuning resistance values, and select a path with the largest path resistance value from the paths that are not tuned as the current path to be tuned;
the resistance adjusting updating module 504 is further configured to determine a target branch serving as an active resistance adjusting branch in the current path to be adjusted based on the adjustment stage number of each branch in the current path to be adjusted, and update the target branch serving as the resistance adjusting value of the active resistance adjusting branch and the resistance adjusting value of the target branch serving as a passive resistance adjusting branch in other paths based on the resistance adjusting value of the current path to be adjusted; until all the channels in the independent channel set are adjusted;
a resistance adjusting determining module 505, configured to select a wind resistance adjusting branch for wind resistance adjustment based on a resistance adjusting value of the active resistance adjusting branch of each path;
and the adjusting stage number is used for representing the size of the wind resistance adjusting performance supported by the branch.
In some embodiments, the tune resistance determination module 505 is specifically configured to:
selecting a branch set with a modulation resistance value meeting the modulation requirement from the active resistance modulation branches of each passage;
and selecting the branch with the best wind resistance regulation performance from the branch set as the wind resistance regulation branch based on the regulation stage number.
In some embodiments, the tune-away update module 504 is specifically configured to:
and selecting a branch with the best wind resistance adjusting performance and not used as an active adjusting branch of other paths from all branches of the current path to be adjusted as the target branch based on the adjusting stage number.
In some embodiments, the tune-away update module 504 is further configured to:
and determining the resistance adjusting value of the current path to be adjusted based on the resistance value of the maximum resistance route of the independent path set and the resistance value of the current path to be adjusted.
In some embodiments, the path search module 502 is specifically configured to:
based on the network topological relation of the ventilation network, converting the ventilation network into an equivalent single-source-sink network, and determining a search starting point and a search end point of the access search;
processing cut edges and cut points in the single-source convergence network;
and performing path search on the processed single-source convergence network based on a stack structure to generate an independent path set.
In some embodiments, the path search module 502 performs a path search on the processed single-source-sink network based on a stack structure, including:
initializing a stack structure, taking an air inlet branch as a current searching branch and stacking;
judging whether the stack structure is empty or not, and if so, judging that the path search is abnormal; if not, taking out the current searching node, judging whether the current searching node is a path terminal, if the current searching node is the path terminal or the current searching node has path searching information, finding a path, and circling a new path until the number of the paths reaches the set requirement; if the current searching node is not a path terminal and has no path searching information, traversing the branch associated with the current searching node, and performing stack pushing operation;
and for the new path, searching a new branch which does not appear on the searched path, returning to the initialized stack structure, and taking the air inlet branch as the current searching branch and stacking.
In practical application, the obtaining module 501, the path searching module 502, the path selecting module 503, the impedance adjusting updating module 504 and the impedance adjusting determining module 505 can be realized by a processor in an air volume adjusting device of a mine ventilation system. Of course, the processor needs to run a computer program in memory to implement its functions.
It should be noted that: in the air volume adjusting device of the mine ventilation system provided in the above embodiment, when the air volume of the mine ventilation system is adjusted, only the division of the above program modules is taken as an example, and in practical application, the processing distribution can be completed by different program modules according to needs, that is, the internal structure of the device is divided into different program modules so as to complete all or part of the above-described processing. In addition, the air volume adjusting device of the mine ventilation system provided by the embodiment and the air volume adjusting method of the mine ventilation system belong to the same concept, and the specific implementation process is described in the method embodiment in detail and is not described herein again.
Based on the hardware implementation of the program module, in order to implement the method of the embodiment of the invention, the embodiment of the invention also provides air volume adjusting equipment of the mine ventilation system. Fig. 6 shows only an exemplary structure of the air quantity adjusting apparatus of the mine ventilation system, not the entire structure, and a part of or the entire structure shown in fig. 6 may be implemented as necessary.
As shown in fig. 6, an air volume adjusting apparatus 600 of a mine ventilation system according to an embodiment of the present invention includes: at least one processor 601, memory 602, user interface 603, and at least one network interface 604. The various components of the air regulating device 600 of the mine ventilation system are coupled together by a bus system 605. It will be appreciated that the bus system 605 is used to enable communications among the components. The bus system 605 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 605 in fig. 6.
The user interface 603 may include, among other things, a display, a keyboard, a mouse, a trackball, a click wheel, a key, a button, a touch pad, or a touch screen.
The memory 602 in embodiments of the present invention is used to store various types of data to support the operation of the air regulating devices of the mine ventilation system. Examples of such data include: any computer program for operating on an air regulating device of a mine ventilation system.
The air volume adjusting method of the mine ventilation system disclosed by the embodiment of the invention can be applied to the processor 601 or realized by the processor 601. The processor 601 may be an integrated circuit chip having signal processing capabilities. In the implementation process, the steps of the air volume adjusting method of the mine ventilation system can be completed through an integrated logic circuit of hardware in the processor 601 or instructions in the form of software. The Processor 601 may be a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. Processor 601 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed by the embodiment of the invention can be directly implemented by a hardware decoding processor, or can be implemented by combining hardware and software modules in the decoding processor. The software module may be located in a storage medium located in the memory 602, and the processor 601 reads the information in the memory 602, and completes the steps of the air volume adjusting method of the mine ventilation system provided by the embodiment of the present invention in combination with the hardware thereof.
In an exemplary embodiment, the air volume adjusting Device of the mine ventilation system may be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), FPGAs, general purpose processors, controllers, Micro Controllers (MCUs), microprocessors (microprocessors), or other electronic components for performing the aforementioned methods.
It will be appreciated that the memory 602 can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The described memory for embodiments of the present invention is intended to comprise, without being limited to, these and any other suitable types of memory.
In an exemplary embodiment, the present invention further provides a storage medium, that is, a computer storage medium, which may be embodied as a computer readable storage medium, for example, including a memory 602 storing a computer program executable by a processor 601 of an air volume adjusting apparatus of a mine ventilation system to perform the steps of the method of the present invention. The computer readable storage medium may be a ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disk, or CD-ROM, among others.
It should be noted that: "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In addition, the technical solutions described in the embodiments of the present invention may be arbitrarily combined without conflict.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
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| CN113482690B (en) * | 2021-08-16 | 2022-08-05 | 中铁第六勘察设计院集团有限公司 | Calculation method for air distribution of tunnel ventilation system of ramp air exhaust type single-ramp highway |
| CN117519047B (en) * | 2023-12-05 | 2024-07-19 | 中南大学 | Intelligent control method and system for mine ventilation system based on equipment regulation and control |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7363883B2 (en) * | 2004-03-19 | 2008-04-29 | Mitsubishi Heavy Industries, Ltd. | Gas engine electric power generating system effectively utilizing greenhouse gas emission credit |
| CN104564120A (en) * | 2014-11-11 | 2015-04-29 | 中国矿业大学 | Operation state control decision making method of mine ventilation system |
| CN106951670A (en) * | 2017-05-23 | 2017-07-14 | 中国神华能源股份有限公司 | Method, device and the electronic equipment of ventilation network equivalent-simplification |
| CN108518238A (en) * | 2018-02-08 | 2018-09-11 | 山东科技大学 | Mine ventilation network optimizes the judgment method of optimal solution |
| CN110705114A (en) * | 2019-10-10 | 2020-01-17 | 辽宁工程技术大学 | Ventilation fault diagnosis method without training sample |
| CN110852501A (en) * | 2019-11-05 | 2020-02-28 | 辽宁工程技术大学 | Mine resistance reduction optimization method based on genetic algorithm |
| CN110878707A (en) * | 2019-12-12 | 2020-03-13 | 山东科技大学 | Diagnosis method for abnormality of mine ventilation system based on real-time monitoring of air volume |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8381726B2 (en) * | 2006-08-16 | 2013-02-26 | Rescue Air Systems, Inc. | Safety system and method of an underground mine |
-
2020
- 2020-08-27 CN CN202010875225.7A patent/CN112049685B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7363883B2 (en) * | 2004-03-19 | 2008-04-29 | Mitsubishi Heavy Industries, Ltd. | Gas engine electric power generating system effectively utilizing greenhouse gas emission credit |
| CN104564120A (en) * | 2014-11-11 | 2015-04-29 | 中国矿业大学 | Operation state control decision making method of mine ventilation system |
| CN106951670A (en) * | 2017-05-23 | 2017-07-14 | 中国神华能源股份有限公司 | Method, device and the electronic equipment of ventilation network equivalent-simplification |
| CN108518238A (en) * | 2018-02-08 | 2018-09-11 | 山东科技大学 | Mine ventilation network optimizes the judgment method of optimal solution |
| CN110705114A (en) * | 2019-10-10 | 2020-01-17 | 辽宁工程技术大学 | Ventilation fault diagnosis method without training sample |
| CN110852501A (en) * | 2019-11-05 | 2020-02-28 | 辽宁工程技术大学 | Mine resistance reduction optimization method based on genetic algorithm |
| CN110878707A (en) * | 2019-12-12 | 2020-03-13 | 山东科技大学 | Diagnosis method for abnormality of mine ventilation system based on real-time monitoring of air volume |
Non-Patent Citations (1)
| Title |
|---|
| 矿井风量优化调节;张惠忱;《中国矿业大学学报》;19891231;第44-50页 * |
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