A mine ventilation system automatic control system and method

Abstract

The present invention provides an automated control system and method for a mine ventilation system. The system comprises a precision sensor for key tunnel ventilation parameters, an automatic analysis and adjustment system for mine ventilation conditions, and a control feedback system for mine ventilation structures. The precision sensor for key tunnel ventilation parameters is used for real-time acquisition of key tunnel ventilation parameters and structure ventilation parameters of the mine ventilation system; a network solution simulation module is used for performing network solution on a three-dimensional dynamic visualization model to obtain the solved ventilation parameters; a scheme optimization decision module is used for determining an initial control scheme based on key tunnel ventilation parameters, structure ventilation parameters, and connection tunnel ventilation parameters; and based on the optimized three-dimensional dynamic visualization model, the initial control scheme is optimized to obtain a control decision scheme; and a mine ventilation structure control feedback system is used for receiving the control decision scheme and controlling ventilation equipment to perform ventilation adjustment.

Description

Technical Field

[0001] The present invention relates to the technical field of mine ventilation system control, and in particular to, but not limited to, an automatic control system and method for a mine ventilation system. Background Art

[0002] In the context of the dual-carbon era, coal mine production activities are required to quickly shift towards high efficiency, greenness and cleanness. A stable and reliable mine ventilation system is an important guarantee for safe and green production in coal mines, and refined control of mine ventilation is an important technical path to achieve stable and reliable operation of coal mine ventilation systems. However, the current coal mine ventilation control model, which is mainly based on mechanical and semi-automatic ventilation technology equipment, is difficult to meet the requirements of refined control of coal mine ventilation. Under the premise of strictly adhering to the principle of "production based on wind", mine ventilation automation provides strong technical support for the realization of refined control of coal mine ventilation and efficient and energy-saving operation of coal mine ventilation systems. Therefore, the construction of automated control of mine ventilation systems is an inevitable trend in the development of coal mines.

[0003] Ventsim is a ventilation system simulation software that is in a leading position in ventilation system optimization design, ventilation network calculation and simulation. Through three-dimensional visualization to build a model, the complex mine ventilation system is intuitively displayed in a three-dimensional way. The ventilation status information of each tunnel in the mine can be viewed from any angle, and the real-time solution of the tunnel air volume and wind direction can be realized, providing reference data for mine ventilation design and management personnel. The mine ventilation three-dimensional simulation system can realize convenient and fast real-time dynamic simulation of the mine ventilation system, and obtain accurate information on the status of wind flow in time, so as to find existing problems and take corresponding countermeasures in time. The mine ventilation three-dimensional simulation system can quickly simulate the entire wind network after changing the wind resistance of one or several characteristic branches, and timely understand its influence on the entire ventilation network. Summary of the invention

[0004] In order to solve the above technical problems existing in the prior art, the present invention provides an automatic control system and method for a mine ventilation system.

[0005] The technical method of the embodiment of the present invention is implemented as follows:

[0006] In the first aspect, an embodiment of the present invention provides an automatic control system for a mine ventilation system, the automatic control system includes a precision sensor for key tunnel ventilation parameters, an automatic analysis and adjustment system for mine ventilation conditions, and an adjustment feedback system for mine ventilation structures, the automatic analysis and adjustment system for mine ventilation conditions includes: a three-dimensional dynamic visualization module for the ventilation system, a network solution simulation module, a solution optimization decision module, and an emergency plan decision module;

[0007] The key tunnel ventilation parameter precision sensor is used to collect the key tunnel ventilation parameters and structure ventilation parameters of the mine ventilation system in real time; and upload the key tunnel ventilation parameters and structure ventilation parameters to the mine ventilation condition automatic analysis and adjustment system;

[0008] The ventilation system three-dimensional dynamic visualization module is used to establish a three-dimensional dynamic visualization model of the mine ventilation system based on the obtained connection tunnel ventilation parameters;

[0009] The network solution simulation module is used to perform network solution on the three-dimensional dynamic visualization model to obtain the solved ventilation parameters;

[0010] The ventilation system three-dimensional dynamic visualization module is used to optimize the three-dimensional dynamic visualization model based on the key tunnel ventilation parameters and the solved ventilation parameters to obtain an optimized three-dimensional dynamic visualization model;

[0011] The scheme optimization decision module is used to determine the initial control scheme based on the key tunnel ventilation parameters, the structure ventilation parameters and the connecting tunnel ventilation parameters; and optimize the initial control scheme based on the optimized three-dimensional dynamic visualization model to obtain a control decision scheme;

[0012] The mine ventilation structure adjustment feedback system is used to receive the control decision plan and control the ventilation equipment to make ventilation adjustments.

[0013] In some embodiments, the critical laneway ventilation parameter precision sensor includes a ventilation parameter detection module and a ventilation structure detection module;

[0014] The ventilation parameter detection module is used to collect the key roadway ventilation parameters in real time; the key roadway ventilation parameters at least include key roadway wind speed parameters, key roadway wind pressure parameters, key roadway gas type parameters, key roadway gas humidity parameters and key roadway gas temperature parameters;

[0015] The ventilation structure detection module is used to collect the ventilation parameters of the structure in real time; the ventilation parameters of the structure at least include the switch status of the structure damper, the opening area of ​​the structure damper, the air leakage of the structure and the pressure difference of the structure.

[0016] In some embodiments, the connecting tunnel ventilation parameters include at least connecting tunnel layout information, connecting tunnel length and connecting tunnel cross-sectional shape, connecting tunnel cross-sectional perimeter and connecting tunnel cross-sectional area.

[0017] In some embodiments, the mine ventilation condition automation and analysis and adjustment system further includes: an emergency plan decision module;

[0018] The three-dimensional dynamic visualization module of the ventilation system is also used to display the ventilation parameters of the key tunnels and the ventilation parameters of the structures in real time, so as to realize the perception and alarm of the over-limit of the ventilation parameters of the key tunnels by setting the thresholds;

[0019] The scheme optimization decision module is also used to determine the specific ventilation structure that affects the key tunnel ventilation parameters by combining automatic identification and manual preset; predict the control effect of the initial control scheme to obtain the predicted control result;

[0020] The scheme optimization decision module is further used to determine that the initial control scheme is the control decision scheme if the predicted control result meets the preset ventilation condition; if the predicted control result does not meet the preset ventilation condition, the initial control scheme is optimized based on the optimized three-dimensional dynamic visualization model to obtain the control decision scheme;

[0021] The emergency plan decision module is also used to adjust and control the air volume of the ventilation structure accordingly based on a preset emergency plan when ventilation abnormalities occur due to a disaster.

[0022] In some embodiments, the solution optimization decision module is also used to adjust the air volume when ventilation is abnormal in the ventilation mode; by accurately monitoring the changes in multiple ventilation parameters, the adjustment size of the mine air door is determined.

[0023] In some embodiments, the scheme optimization decision module is also used to compare the key alley wind speed parameters and the key alley wind pressure parameters in the key alley ventilation parameters, and the solved wind speed parameters and the solved wind pressure parameters in the solved ventilation parameters with the preset wind speed threshold and the preset wind pressure threshold, respectively; when any of the key alley wind speed parameters or the solved wind speed threshold exceeds the preset wind speed threshold, the system issues an alarm; when any of the key alley wind pressure parameters or the solved wind pressure threshold exceeds the preset wind pressure threshold, the system issues an alarm.

[0024] In some embodiments, the scheme optimization decision module is also used to detect the damper switch status in the ventilation parameters of the structure, and adjust the opening area of ​​the damper to a preset area threshold; if the ventilation parameters of the structure are normal, manual intervention is performed to check and determine whether the cause of the alarm is an accident in the mine or an abnormal sensor alarm.

[0025] In a second aspect, an embodiment of the present invention provides a method for automatic control of a mine ventilation system, the method comprising:

[0026] Obtain the key tunnel ventilation parameters, structure ventilation parameters and connecting tunnel ventilation parameters of the mine ventilation system;

[0027] Based on the ventilation parameters of the connecting tunnels, a three-dimensional dynamic visualization model of the mine ventilation system is established;

[0028] Performing network solution on the three-dimensional dynamic visualization model to obtain solved ventilation parameters;

[0029] Based on the key tunnel ventilation parameters and the solved ventilation parameters, the three-dimensional dynamic visualization model is optimized to obtain an optimized three-dimensional dynamic visualization model;

[0030] Based on the key tunnel ventilation parameters, the structure ventilation parameters and the connecting tunnel ventilation parameters, an initial control scheme is determined; and the initial control scheme is optimized to obtain a control decision scheme;

[0031] Based on the control decision plan, the ventilation equipment is controlled to make ventilation adjustments.

[0032] The automatic control system of the mine ventilation system provided by the embodiment of the present invention, on the one hand, constructs a mine ventilation system model and connects it with precision sensors in key underground tunnels to sense ventilation parameters in real time, automatically analyze ventilation conditions, and automatically adjust mine air doors, so as to achieve automatic control of the mine ventilation system with integrated perception-analysis-control; on the other hand, the ventilation system parameters are collected in real time through precision sensors of ventilation parameters in key tunnels, and uploaded to the automatic analysis and adjustment system of the mine ventilation conditions for decision analysis, and the mine ventilation structure adjustment feedback system executes the adjustment instructions of the automatic analysis and adjustment system of the mine ventilation conditions, thereby realizing the basic requirements of real-time perception of ventilation parameters, automatic analysis of ventilation conditions, and remote automatic control of the ventilation system; at the same time, it can also restore disaster relief decisions during failures and disasters, realize automatic control of the mine ventilation system, supply air on demand under normal conditions, efficiently control air under disaster conditions, optimize the design of the ventilation system, achieve the purpose of energy saving and consumption reduction, and improve the level of automatic control of the mine ventilation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a structural schematic diagram of an automatic control system for a mine ventilation system provided by an embodiment of the present invention;

[0034] Figure 2 It is a flow chart of a method for automatic control of a mine ventilation system provided by an embodiment of the present invention;

[0035] Figure 3 It is a flow chart of a method for automatic control of a mine ventilation system provided by an embodiment of the present invention;

[0036] Figure 4 It is a schematic diagram of the composition structure of the automatic control equipment of the mine ventilation system provided by the embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present invention. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present invention.

[0038] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present invention have the same meaning as those commonly understood by those skilled in the art to which the embodiments of the present invention pertain. The terms used in the embodiments of the present invention are only for the purpose of describing the embodiments of the present invention and are not intended to limit the present invention.

[0039] The embodiment of the present invention provides an automatic control system for a mine ventilation system, the mine ventilation system includes a precision sensor 110 for key tunnel ventilation parameters, an automatic analysis and adjustment system 120 for mine ventilation conditions, and an adjustment feedback system 130 for mine ventilation structures, wherein the automatic analysis and adjustment system for mine ventilation conditions includes: a three-dimensional dynamic visualization module 121 for a ventilation system, a network solution simulation module 122, and a solution optimization decision module 123. Figure 1 , Figure 1 It is a structural schematic diagram of an automatic control system for a mine ventilation system provided by an embodiment of the present invention.

[0040] The key tunnel ventilation parameter precision sensor 110 is used to collect the key tunnel ventilation parameters and structure ventilation parameters of the mine ventilation system in real time; and upload the key tunnel ventilation parameters and the structure ventilation parameters to the mine ventilation condition automatic analysis and adjustment system;

[0041] The ventilation system three-dimensional dynamic visualization module 121 is used to establish a three-dimensional dynamic visualization model of the mine ventilation system based on the obtained connection tunnel ventilation parameters; the connection tunnel ventilation parameters at least include connection tunnel layout information, connection tunnel length and connection tunnel cross-sectional shape, connection tunnel cross-sectional perimeter and connection tunnel cross-sectional area;

[0042] A network solution simulation module 122 is used to perform network solution on the three-dimensional dynamic visualization model to obtain the solved ventilation parameters;

[0043] A ventilation system three-dimensional dynamic visualization module 121 is used to optimize the three-dimensional dynamic visualization model based on the key tunnel ventilation parameters and the calculated ventilation parameters to obtain an optimized three-dimensional dynamic visualization model;

[0044] The scheme optimization decision module 123 is used to determine the initial control scheme based on the key tunnel ventilation parameters, the structure ventilation parameters and the connecting tunnel ventilation parameters; and optimize the initial control scheme based on the optimized three-dimensional dynamic visualization model to obtain a control decision scheme;

[0045] The mine ventilation structure adjustment feedback system 130 is used to receive the control decision plan and control the ventilation equipment to adjust the ventilation.

[0046] In some embodiments, the mine ventilation structure adjustment feedback system 130 includes a ventilation structure control module 131 and a ventilation structure monitoring module 132 .

[0047] In some embodiments, the critical tunnel ventilation parameter precision sensor 110 includes a ventilation parameter detection module 111 and a ventilation structure detection module 112;

[0048] The ventilation parameter detection module 111 is used to collect the key roadway ventilation parameters in real time; the key roadway ventilation parameters at least include key roadway wind speed parameters, key roadway wind pressure parameters, key roadway gas type parameters, key roadway gas humidity parameters and key roadway gas temperature parameters;

[0049] The ventilation structure detection module 112 is used to collect the structure ventilation parameters in real time; the structure ventilation parameters at least include the structure damper switch state, the structure damper opening area, the structure air leakage and the structure pressure difference.

[0050] In some embodiments, the connecting tunnel ventilation parameters include at least connecting tunnel layout information, connecting tunnel length and connecting tunnel cross-sectional shape, connecting tunnel cross-sectional perimeter and connecting tunnel cross-sectional area.

[0051] In some embodiments, the mine ventilation condition automated analysis and adjustment system 120 further includes: an emergency plan decision module 124;

[0052] The ventilation system three-dimensional dynamic visualization module 121 is also used to display the key tunnel ventilation parameters and the structure ventilation parameters in real time, so as to realize the perception and alarm of the over-limit of the key tunnel ventilation parameters by setting the threshold value;

[0053] The scheme optimization decision module 123 is also used to determine the specific ventilation structure that affects the key tunnel ventilation parameters by combining automatic identification and manual preset; predict the control effect of the initial control scheme to obtain a predicted control result;

[0054] The scheme optimization decision module 123 is further used to determine that the initial control scheme is the control decision scheme if the predicted control result meets the preset ventilation condition; if the predicted control result does not meet the preset ventilation condition, the initial control scheme is optimized based on the optimized three-dimensional dynamic visualization model to obtain the control decision scheme;

[0055] The emergency plan decision module 124 is also used to adjust and control the air volume of the ventilation structure accordingly based on a preset emergency plan when ventilation abnormalities occur due to a disaster.

[0056] In some embodiments, the solution optimization decision module 123 is also used to adjust the air volume when ventilation is abnormal in the ventilation mode; by accurately monitoring the changes in multiple ventilation parameters, the adjustment size of the mine air door is determined.

[0057] In some embodiments, the scheme optimization decision module 123 is also used to compare the key alley wind speed parameters and the key alley wind pressure parameters in the key alley ventilation parameters, and the solved wind speed parameters and the solved wind pressure parameters in the solved ventilation parameters with the preset wind speed threshold and the preset wind pressure threshold, respectively; when any of the key alley wind speed parameters or the solved wind speed threshold exceeds the preset wind speed threshold, the system issues an alarm; when any of the key alley wind pressure parameters or the solved wind pressure threshold exceeds the preset wind pressure threshold, the system issues an alarm.

[0058] In some embodiments, the scheme optimization decision module 123 is also used to detect the damper switch status in the ventilation parameters of the structure, and adjust the opening area of ​​the damper to a preset area threshold; if the ventilation parameters of the structure are normal, manual intervention is performed to determine whether the cause of the alarm is an accident in the mine or an abnormal sensor alarm.

[0059] The automatic control system of the mine ventilation system provided by the embodiment of the present invention, on the one hand, constructs a mine ventilation system model and connects it with precision sensors in key underground tunnels to sense ventilation parameters in real time, automatically analyze ventilation conditions, and automatically adjust mine air doors, so as to achieve automatic control of the mine ventilation system with integrated perception-analysis-control; on the other hand, the ventilation system parameters are collected in real time through precision sensors of ventilation parameters in key tunnels, and uploaded to the automatic analysis and adjustment system of the mine ventilation conditions for decision analysis, and the mine ventilation structure adjustment feedback system executes the adjustment instructions of the automatic analysis and adjustment system of the mine ventilation conditions, thereby realizing the basic requirements of real-time perception of ventilation parameters, automatic analysis of ventilation conditions, and remote automatic control of the ventilation system; at the same time, it can also restore disaster relief decisions during failures and disasters, realize automatic control of the mine ventilation system, supply air on demand under normal conditions, efficiently control air under disaster conditions, optimize the design of the ventilation system, achieve the purpose of energy saving and consumption reduction, and improve the level of automatic control of the mine ventilation system.

[0060] The embodiment of the present invention provides a mine ventilation system automatic control method, which is applied to the mine ventilation system. Figure 2 , Figure 2 is a flow chart of the automatic control method of the mine ventilation system provided by the embodiment of the present invention, which will be combined with Figure 2 The steps shown are explained.

[0061] Step S210, obtaining key tunnel ventilation parameters, structure ventilation parameters and connecting tunnel ventilation parameters of the mine ventilation system.

[0062] In some embodiments, the key tunnel ventilation parameters include at least key tunnel wind speed parameters, key tunnel wind pressure parameters, key tunnel gas type parameters, key tunnel gas humidity parameters and key tunnel gas temperature parameters; the structure ventilation parameters include at least the structure damper switch status, the structure damper opening area, the structure air leakage and the structure pressure difference; the connecting tunnel ventilation parameters include at least the connecting tunnel layout information, the connecting tunnel length and the connecting tunnel cross-sectional shape, the connecting tunnel cross-sectional circumference and the connecting tunnel cross-sectional area.

[0063] Step S220, based on the ventilation parameters of the connecting tunnels, a three-dimensional dynamic visualization model of the mine ventilation system is established.

[0064] In some embodiments, the control decision plan refers to a plan for adjusting the state of ventilation structures or the operation of ventilation equipment based on current ventilation parameters and the operating conditions of the ventilation system, so as to achieve the purpose of optimizing the ventilation effect.

[0065] In the present invention, various types of ventilation parameters and the operating conditions of the mine ventilation system that have been collected can be used to generate a control decision plan for the ventilation structure through algorithm or model analysis.

[0066] Step S230, performing network solution on the three-dimensional dynamic visualization model to obtain solved ventilation parameters.

[0067] Step S240, based on the key tunnel ventilation parameters and the solved ventilation parameters, the three-dimensional dynamic visualization model is optimized to obtain an optimized three-dimensional dynamic visualization model.

[0068] Step S250, determining an initial control scheme based on the key tunnel ventilation parameters, the structure ventilation parameters and the connecting tunnel ventilation parameters; and optimizing the initial control scheme to obtain a control decision scheme.

[0069] Step S260: Based on the control decision plan, control the ventilation equipment to adjust the ventilation.

[0070] In the present invention, according to the generated control decision plan, the ventilation equipment is specifically operated to change the wind flow state in the mine and achieve the expected ventilation effect.

[0071] The following describes an exemplary application of an embodiment of the present invention in a practical application scenario.

[0072] The present invention provides a mine ventilation system automatic control system based on Ventsim software, comprising:

[0073] The precision sensor of key tunnel ventilation parameters is used to collect various ventilation parameters of the ventilation system in real time, organize the collected data into basic data, and upload it to the automatic analysis and adjustment system of mine ventilation conditions.

[0074] The automatic analysis and adjustment system for mine ventilation conditions is used to analyze the basic data provided by precision sensors of key tunnel ventilation parameters in real time, identify the operating mode of the ventilation system and generate decision plans, and transmit the decision plans to the mine ventilation structure adjustment feedback system.

[0075] The mine ventilation structure adjustment feedback system is used to receive decision plans, control ventilation facilities and make ventilation system adjustments.

[0076] In this embodiment, the precision sensors for key tunnel ventilation parameters include a ventilation parameter monitoring module and a ventilation structure monitoring module. The ventilation parameter monitoring module includes a wind speed sensor, a wind pressure sensor, a gas sensor, and a gas temperature and humidity sensor installed in the mine ventilation network. The ventilation structure monitoring module is used to monitor the switch status, opening area, air leakage, and pressure difference of the damper.

[0077] In this embodiment, the automatic analysis and adjustment system for mine ventilation conditions includes a ventilation system three-dimensional dynamic visualization module, a network solution simulation module, a solution optimization decision module and an emergency plan decision module built based on Ventsim software.

[0078] In this embodiment, a ventilation system model of the entire mine is constructed, and the ventilation system is constructed in three dimensions using Ventsim software. It is combined with precision sensors of key tunnel ventilation parameters to restore the operation mode of the entire ventilation system and the movement of wind flow, realize real-time monitoring of mine ventilation, and realize perception and alarm of over-limit of key tunnel ventilation parameters by setting thresholds.

[0079] In this embodiment, the network solution simulation module is used to realize the simulation calculation of the wind direction and air volume in the entire mine tunnel and the operating conditions of the fan according to the tunnel wind resistance or sensor data, to assist in judging the operating status of the ventilation system, and to predict the effect after the scheme is adjusted, so as to assist in the optimization decision of the scheme.

[0080] In this embodiment, the scheme optimization decision module is used to adjust the ventilation mode when ventilation is abnormal and the solution can be achieved by adjusting the air volume. Solutions are proposed by accurately monitoring the changes in various ventilation parameters, and the scheme is optimized with reference to the prediction results of the network solution simulation module based on Ventsim software, and finally the control decision of the mine ventilation structure is given.

[0081] In this embodiment, the emergency plan decision module is used to adjust the air volume as a ventilation mode when ventilation anomalies or disasters occur that are difficult to resolve with other solutions.

[0082] In this embodiment, the three-dimensional mine ventilation system is a three-dimensional simulation model built based on parameters of a real mine ventilation system.

[0083] Figure 3 The present invention provides a mine ventilation system automatic control method based on Ventsim software, comprising:

[0084] Step 1: Through the ventilation parameter monitoring module in the key tunnel ventilation parameter precision sensor, arrange the corresponding ventilation parameter precision sensors in the key tunnels of the ventilation system to monitor the wind speed, wind pressure, gas type, and gas temperature and humidity in the ventilation network in real time; through the ventilation structure monitoring module, monitor the switch status, opening area, air leakage and pressure difference of the damper in real time, and upload the monitored data to the mine ventilation condition automatic analysis and adjustment system in real time.

[0085] Step 2: Based on the measured data of the mine ventilation system, including ventilation parameters such as tunnel layout, tunnel length and tunnel cross-sectional shape, perimeter and area, a three-dimensional ventilation model of the mine is established and displayed on the front end based on the three-dimensional dynamic visualization module of the ventilation system of Ventsim software.

[0086] Step three: Based on the network solution simulation module based on Ventsim software, the established three-dimensional dynamic visualization model of the mine is solved through network solution, and the data uploaded in real time by the ventilation parameter monitoring module is compared with the ventilation parameters obtained by solution to improve the model accuracy and ensure that the model is consistent with the actual situation underground.

[0087] Step 4: Display the data uploaded by the ventilation parameter monitoring module in real time in the model, and realize the perception and alarm of the over-limit of ventilation parameters in key tunnels by setting thresholds. The threshold range can be set to plus or minus 50% of the set value. When the threshold is exceeded, the system will alarm.

[0088] Step 5. The solution optimization decision module in the mine ventilation automatic analysis and adjustment system is used when the mine ventilation system is adjusted or the system alarms, and proposes solutions by accurately monitoring the changes in various ventilation parameters.

[0089] Step 6: The network solution simulation module of Ventsim software performs network solution simulation on the proposed solution, and feeds the simulation results back to the solution optimization decision module to optimize and adjust the solution.

[0090] Step seven, transmit the decision plan to the mine ventilation structure adjustment feedback system, control the ventilation facilities to adjust the ventilation system, and monitor the adjustment effect in real time and feed it back to the mine ventilation condition automatic analysis and adjustment system.

[0091] It should be noted that, in the embodiment of the present invention, if the above-mentioned mine ventilation system automation control method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a terminal to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read Only Memory), disk or optical disk and other media that can store program codes. In this way, the embodiment of the present invention is not limited to any specific combination of hardware and software.

[0092] Correspondingly, an embodiment of the present invention provides an automatic control device for a mine ventilation system. Figure 4Schematic diagram of the structure of the automatic control device for the mine ventilation system provided by the embodiment of the present invention. Figure 4 As shown, the mine ventilation system automatic control device 400 at least includes: a processor 401 and a computer-readable storage medium 402 configured to store executable instructions, wherein the processor 401 generally controls the overall operation of the mine ventilation system automatic control device 400. The computer-readable storage medium 402 is configured to store instructions and applications executable by the processor 401, and can also cache data to be processed or processed by each module in the processor 401 and the mine ventilation system automatic control device 400, which can be implemented by flash memory (FLASH) or random access memory (RAM, Random Access Memory).

[0093] An embodiment of the present invention provides a storage medium storing executable instructions, wherein the executable instructions are stored. When the executable instructions are executed by a processor, the processor will be caused to execute the method provided by the embodiment of the present invention, for example, Figure 2 The method shown.

[0094] In some embodiments, the storage medium can be a computer-readable storage medium, for example, a ferroelectric random access memory (FRAM), 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 flash memory, a magnetic surface memory, an optical disk, or a compact disk read-only memory (CD-ROM), etc.; it can also be various devices including one or any combination of the above memories.

[0095] In some embodiments, executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0096] As an example, executable instructions may, but need not necessarily, correspond to a file in a file system, may be stored as part of a file storing other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions). As an example, executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one location, or on multiple electronic devices distributed at multiple locations and interconnected by a communication network.

[0097] The above description is only an embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement and improvement made within the spirit and scope of the present invention are included in the protection scope of the present invention.

[0098] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present invention. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present invention, the size of the serial number of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention. The serial numbers of the above-mentioned embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0099] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of further restrictions, an element defined by the statement "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed.

[0100] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An automatic control system for mine ventilation system, the automatic control system includes precision sensors for key tunnel ventilation parameters, an automatic analysis and adjustment system for mine ventilation conditions, and an adjustment feedback system for mine ventilation structures, characterized in that: The mine ventilation automation and analysis and adjustment system includes: a ventilation system three-dimensional dynamic visualization module, a network solution simulation module and a solution optimization decision module; The key tunnel ventilation parameter precision sensor is used to collect the key tunnel ventilation parameters and structure ventilation parameters of the mine ventilation system in real time; and upload the key tunnel ventilation parameters and structure ventilation parameters to the mine ventilation condition automatic analysis and adjustment system; The ventilation system three-dimensional dynamic visualization module is used to establish a three-dimensional dynamic visualization model of the mine ventilation system based on the obtained connection tunnel ventilation parameters; The network solution simulation module is used to perform network solution on the three-dimensional dynamic visualization model to obtain the solved ventilation parameters; The ventilation system three-dimensional dynamic visualization module is used to optimize the three-dimensional dynamic visualization model based on the key tunnel ventilation parameters and the solved ventilation parameters to obtain an optimized three-dimensional dynamic visualization model; The scheme optimization decision module is used to determine the initial control scheme based on the key tunnel ventilation parameters, the structure ventilation parameters and the connecting tunnel ventilation parameters; and optimize the initial control scheme based on the optimized three-dimensional dynamic visualization model to obtain a control decision scheme; The mine ventilation structure adjustment feedback system is used to receive the control decision plan and control the ventilation equipment to make ventilation adjustments.

2. The system according to claim 1, characterized in that The key tunnel ventilation parameter precision sensor includes a ventilation parameter detection module and a ventilation structure detection module; The ventilation parameter detection module is used to collect the key roadway ventilation parameters in real time; the key roadway ventilation parameters at least include key roadway wind speed parameters, key roadway wind pressure parameters, key roadway gas type parameters, key roadway gas humidity parameters and key roadway gas temperature parameters; The ventilation structure detection module is used to collect the ventilation parameters of the structure in real time; the ventilation parameters of the structure at least include the switch status of the structure damper, the opening area of ​​the structure damper, the air leakage of the structure and the pressure difference of the structure.

3. The system according to claim 1, characterized in that The connecting tunnel ventilation parameters at least include connecting tunnel layout information, connecting tunnel length and connecting tunnel cross-sectional shape, connecting tunnel cross-sectional perimeter and connecting tunnel cross-sectional area.

4. The system according to claim 1, characterized in that The mine ventilation condition automation and analysis and adjustment system also includes: an emergency plan decision module; The three-dimensional dynamic visualization module of the ventilation system is also used to display the ventilation parameters of the key tunnels and the ventilation parameters of the structures in real time, so as to realize the perception and alarm of the over-limit of the ventilation parameters of the key tunnels by setting the thresholds; The scheme optimization decision module is also used to determine the specific ventilation structure that affects the key tunnel ventilation parameters by combining automatic identification and manual preset; predict the control effect of the initial control scheme to obtain the predicted control result; The scheme optimization decision module is further used to determine that the initial control scheme is the control decision scheme if the predicted control result meets the preset ventilation condition; if the predicted control result does not meet the preset ventilation condition, the initial control scheme is optimized based on the optimized three-dimensional dynamic visualization model to obtain the control decision scheme; The emergency plan decision module is also used to adjust and control the air volume of the ventilation structure accordingly based on a preset emergency plan when ventilation abnormalities occur due to a disaster.

5. The system according to claim 1, characterized in that The scheme optimization decision module is also used to adjust the air volume when ventilation is abnormal under ventilation mode; by accurately monitoring the changes in multiple ventilation parameters, the adjustment size of the mine air door is determined.

6. The system according to claim 1, characterized in that The scheme optimization decision module is also used to compare the key alley wind speed parameters and the key alley wind pressure parameters in the key alley ventilation parameters, and the solved wind speed parameters and the solved wind pressure parameters in the solved ventilation parameters with the preset wind speed threshold and the preset wind pressure threshold, respectively; when any of the key alley wind speed parameters or the solved wind speed threshold exceeds the preset wind speed threshold, the system issues an alarm; when any of the key alley wind pressure parameters or the solved wind pressure threshold exceeds the preset wind pressure threshold, the system issues an alarm.

7. The system according to claim 1, characterized in that The scheme optimization decision module is also used to detect the damper switch status in the ventilation parameters of the structure and adjust the opening area of ​​the damper to a preset area threshold; if the ventilation parameters of the structure are normal, manual intervention is performed to determine whether the cause of the alarm is an accident in the mine or an abnormal sensor alarm.

8. A mine ventilation system automatic control method, applied to a mine ventilation system, characterized in that: The method comprises: Obtain the key tunnel ventilation parameters, structure ventilation parameters and connecting tunnel ventilation parameters of the mine ventilation system; Based on the ventilation parameters of the connecting tunnels, a three-dimensional dynamic visualization model of the mine ventilation system is established; Performing network solution on the three-dimensional dynamic visualization model to obtain solved ventilation parameters; Based on the key tunnel ventilation parameters and the solved ventilation parameters, the three-dimensional dynamic visualization model is optimized to obtain an optimized three-dimensional dynamic visualization model; Based on the key tunnel ventilation parameters, the structure ventilation parameters and the connecting tunnel ventilation parameters, an initial control scheme is determined; and the initial control scheme is optimized to obtain a control decision scheme; Based on the control decision plan, the ventilation equipment is controlled to make ventilation adjustments.

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