CN101644168B - Ventilation forecasting and early-warning system for mine - Google Patents
Ventilation forecasting and early-warning system for mine Download PDFInfo
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- CN101644168B CN101644168B CN2009100863630A CN200910086363A CN101644168B CN 101644168 B CN101644168 B CN 101644168B CN 2009100863630 A CN2009100863630 A CN 2009100863630A CN 200910086363 A CN200910086363 A CN 200910086363A CN 101644168 B CN101644168 B CN 101644168B
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Abstract
The invention relates to a ventilation forecasting and early-warning system for a mine, comprising an SQL database, a ventilation forecasting and budgeting module and a result output module, wherein the SQL database is used for storing data, a data file generation module for receiving entry of a designer; the ventilation forecasting and budgeting module is used for completing various calculations of ventilation network resolving for the mine and comprises calculation of air volume, resistance and pressure of each branch channel and a ventilating fan; and the result output module is used for outputting the calculation result of the ventilation forecasting and budgeting module. The system can transfer the original artificial iterative computation process to a computer, thus improving efficiency and accuracy; and the system can perform multiple solutions until the optimized design scheme is found, thus reducing repetitive computation workload of the designer.
Description
Technical field
The present invention relates to a kind of ventilation forecasting and early-warning system for mine that is intended to carry out mine ventilation prediction and mine ventilation computer aided design (CAD).
Background technology
The main purpose of mine ventilation is in order to supply with the enough fresh airs in down-hole, to satisfy the needs of personnel to oxygen; Water down down-hole toxic and harmful and dust, guarantee the production environment of safety; Regulating the down-hole weather, create good working environment, therefore is the principal element of influence safety in production.
The design procedure of mine ventilation network commonly used be (1) at first according to known tunnel layout, natural ventilation characteristic, rely on existing design or according to the preliminary design of the type selecting of experience adjustments ventilation equipment, layout etc.; (2) find the solution this ventilation system and each bar air quantity and the resistance and pressure and other parameters of dividing branch air duct and blower fan wherein again; Judge whether these ventilation parameters meet the requirements and contingent variation; (3) through preliminary project being carried out local adjustment all ventilation parameters are all met the requirements at last, promptly accomplished the mine ventilation design.
Above-mentioned steps (2) is called to be resolved, and the amount of calculation in resolving is maximum, and the time that takies is also the longest.Mine ventilation network resolves general needs and follows certain rule and carry out, because the parameter that relates to is many especially, the designer often requires a great deal of time and energy is used for loaded down with trivial details chart or the iterative computation looked into, and not only efficient is low, and the degree of accuracy is not high.
Summary of the invention
In order to overcome above-mentioned deficiency; The present invention provides a kind of ventilation forecasting and early-warning system for mine; Native system can be transferred computer with original artificial iterative computation process and accomplish, thereby has improved efficient and accuracy, and can repeatedly resolve; Until finding optimum design scheme, reduced designer's double counting workload.
For achieving the above object, the technical scheme that the present invention adopted is:
A kind of ventilation forecasting and early-warning system for mine comprises the SQL database that is used for store data, data file generation module, ventilation forecast budget module and output module as a result,
Said data file generation module is used to receive all kinds of parameters that ventilation network resolves that are used for of designer's typing, when receiving the data typing, data is carried out the check of form and number range;
Said ventilation forecast budget module is used to accomplish the various calculating that mine ventilation network resolves, its result of calculation comprise mine ventilation network and wherein each bar divide air quantity, resistance and the pressure of branch air duct and ventilating fan;
Said output module as a result is used for the output to the calculation result data of said ventilation forecast budget module, comprises air quantity, blast and windage and equivalent orifice;
The result of calculation of data that said data file generation module received and said ventilation forecast budget module all deposits said SQL database in, and the former is by said ventilation forecast budget module invokes, and the latter is called by said output module as a result.
Be provided with six prediction output sub-modules in the said output module as a result; Be used for the output of resolving result, fan condition and ventilation effect to all kinds of branches; They are: the ventilation type is respectively coal-face prediction output sub-module, the driving face prediction output sub-module of coal-face branch and driving face branch; Branch pattern is the fixing fixedly air quantity branch prediction output sub-module of air quantity branch; The blower fan actual parameter prediction output sub-module of output blower fan actual condition is weighed the equivalent orifice prediction output sub-module of ventilation effect and the whole prediction output sub-modules that predict the outcome that resolve the result of exporting all branches.
Also be provided with early warning branch output sub-module in the said output module as a result, be used to export its resolve the result do not meet designing requirement branch resolve the result, these situation that do not meet designing requirement comprise: wind speed transfinites, deficiency in draught or inverted air current.
Said ventilation forecast budget module can also be called external data, and the formatted data outside the promptly said SQL database ventilates and predicts and early warning calculating.
Said external data and resolving the result and all can be saved in the SQL database automatically to said external data.
Said data file generation module comprises data input submodule and data edition submodule, and said data input submodule only is used to said SQL database and creates the raw data file that resolves; Said data edition submodule is used for the data of said raw data file are made amendment.
Said data input packet includes network basic parameter and network characterization parameter that submodule received; Said network basic parameter is used to characterize the precision of resolving the result and finds the solution speed, and said network characterization parameter is used for characterizing the characteristic of the blower fan that network type, ventilation characteristics and network be provided with.
Said network basic parameter comprises iteration precision and maximum iteration time.
Said network characterization parameter comprises the network raw data that contains roadway shape in each branch, position, ventilation type feature, the natural ventilation pressure data that contain the fan characteristic data of the characteristic parameter that characterizes ventilating fan and contain the natural ventilation pressure parameter of each branch.
Said output module as a result has result data is converted to extended formatting and saves as the function of outside result data files, and said outside result data files form can be EXCEL or Access form.
The present invention utilizes computer to realize that amount of calculation is big and finds the solution the process of resolving of complicated ventilation network; But the short time repeatedly finds the solution; Not only improved efficient and accuracy, make and find optimum design scheme to become feasible, and the present invention can realize the prediction to the effect of Design of Ventilation System; If the undesirable meeting in somewhere reminds the designer to revise design with the form of early warning, improved the success rate of design.
Description of drawings
Fig. 1 is a system architecture diagram of the present invention.
The specific embodiment
A kind of ventilation forecasting and early-warning system for mine; The auxiliary computing system of resolving as ventilation network; As shown in Figure 1; Comprise the SQL database that is used for store data, data file generation module, ventilation forecast budget module and output module as a result, said data file generation module is used to receive all kinds of parameters that ventilation network resolves that are used for of designer's typing, when receiving the data typing, data is carried out the check of form and number range; Said ventilation forecast budget module is used to accomplish the various calculating that mine ventilation network resolves; Be the nucleus module of said ventilation forecasting and early-warning system for mine, its result of calculation comprise mine ventilation network and wherein each bar divide air quantity, resistance and the pressure of branch air duct and ventilating fan; Said output module as a result is used for the output to the calculation result data of said ventilation forecast budget module, comprises air quantity, blast and windage and equivalent orifice; The result of calculation of data that said data file generation module received and said ventilation forecast budget module all deposits said SQL database in, and the former is by said ventilation forecast budget module invokes, and the latter is called by said output module as a result.
Said data file generation module comprises data input submodule and data edition submodule, and said data input submodule only is used to said SQL database and creates the raw data file that resolves; Said data edition submodule is used for the data of said raw data file are made amendment, with adjustment Design of ventilation scheme.
The said data input data that submodule received are divided into two types; Be network basic parameter and network characterization parameter; Said network basic parameter comprises the title of mine, scheme, the total amount of branch, node and blower fan, the fixedly numerical value of air quantity number and natural ventilation pressure number; These all are the values to the global variable of a certain design scheme, also comprise being used to characterize the precision of resolving the result and iteration precision and the maximum iteration time of finding the solution speed.
Said network characterization parameter is used for characterizing the characteristic of the blower fan that network type, ventilation characteristics and network be provided with, and relates to some design parameters of preliminary project.Said network characterization parameter comprises the network raw data that contains roadway shape in each branch, position, ventilation type feature, the natural ventilation pressure data that contain the fan characteristic data of the characteristic parameter that characterizes ventilating fan and contain the natural ventilation pressure parameter of each branch.The typing process of network characterization parameter has promptly embodied the process of preliminary design, and system one by one sets each parameter value according to the design cycle guide designers of routine, has saved the time that the designer browses chart, and the unit of should be noted that chooses in the data typing.
This prediction early warning system is applicable to multiple roadway shape and multiple ventilation type, and calculates to the internal portion of different roadway shapes and ventilation type and to encapsulate, and as long as the designer is the attention correct selection.In this example, said roadway shape comprises: trapezoidal, semicircle arch, Samsung arch or circle, and said ventilation type comprises: the passageway that generally ventilates (comprising chamber); Transporter lane, air entering and returning lane, exploiting field, coal-face, stone drifting work plane; Coal (half coal petrography) lane driving face, up-down material pit shaft does not have the ventilating shaft of lifting or wind cave; Main air entering and returning lane, up-down personnel pit shaft, stringing electrical locomotive lane, air crossing.
In the data typing process, system also can provide corresponding essential design parameters input prompt, and guiding user design, selected parameter in time feed back error message, and prompting is revised.
After having accomplished ventilation forecasting and early-warning system for mine and dividing the establishment and edit-modify that wind resolves raw data file, just can get into ventilation forecast budget module and the branch wind of having set up resolved raw data file ventilate forecast budget.Ventilation forecast budget module is the nucleus module of ventilation forecasting and early-warning system for mine; Its internal calculation is the groundwork of native system; Outside design operation seldom; If resolve to the data file of having set up, then directly to carry out " dividing wind to resolve " order and get final product, native system also provides the function of calling external data; Promptly can calculate said external data and be directed against resolving the result and all can being saved in the SQL database automatically of its through carrying out the prediction of ventilating of formatted data outside the said SQL database of " importing external data " command calls with early warning.
Be provided with two big generic modules in the said output module as a result; One type is the prediction output sub-module, is used for the output of resolving the result of each branch of ventilation network, and another kind of is early warning branch output sub-module; The implementation method of this two generic module comes down to identical; All be to resolving all or part of output of result data, different is to different focus, its querying condition and result field choose difference to some extent.
The way of output of prediction output sub-module has the querying condition of employing and the result field customization way of output and resolves the full way of output of result data; Wherein customize the way of output and be divided into coal-face prediction output sub-module, the driving face prediction output sub-module that the ventilation type is respectively coal-face branch and driving face branch according to querying condition; Branch pattern is the fixing fixedly air quantity branch prediction output sub-module of air quantity branch; The blower fan actual parameter prediction output sub-module of output blower fan actual condition is weighed the equivalent orifice of ventilation effect and is predicted output sub-module.
Early warning branch output sub-module; Be used to export its resolve the result do not meet designing requirement branch resolve the result; These situation that do not meet designing requirement comprise: wind speed transfinites, deficiency in draught or inverted air current, and every its relevant result that resolves of branch of above-mentioned situation that exists all exports in this module.Because what this way of output adopted also is the customization way of output, and institute might in-problem branch all be shown, and has made things convenient for designer's inquiry.
Said output module as a result also has result data is converted to extended formatting and saves as the function of outside result data files; Said outside result data files form can be EXCEL or Access form; The extended formatting data file that produces can and be checked by other routine calls, can also be called by native system once more as the foreign format data.
Ventilation forecasting and early-warning system for mine is that a cover aims at mine safety production and the ventilation professional software that designs; Can carry out forecast budget to the various ventilation systems adjustment and the modification scheme in mine the present and the future each period; In time early warning is carried out in deficiency in draught, the wind speed place of transfiniting, can be assisted and carry out the mine ventilation system adjustment and improve with scheme.
Claims (9)
1. ventilation forecasting and early-warning system for mine is characterized in that comprising the SQL database that is used for store data, data file generation module, ventilation forecast budget module and output module as a result,
Said data file generation module is used to receive all kinds of parameters that ventilation network resolves that are used for of designer's typing, when receiving the data typing, data is carried out the check of form and number range;
Said ventilation forecast budget module is used to accomplish the various calculating that mine ventilation network resolves, its result of calculation comprise mine ventilation network and wherein each bar divide air quantity, resistance and the pressure of branch air duct and ventilating fan;
Said output module as a result is used for the output to the calculation result data of said ventilation forecast budget module, comprises air quantity, blast and windage and equivalent orifice; Also be provided with early warning branch output sub-module in the said output module as a result, be used to export its resolve the result do not meet designing requirement branch resolve the result, these situation that do not meet designing requirement comprise: wind speed transfinites, deficiency in draught or inverted air current;
The result of calculation of data that said data file generation module received and said ventilation forecast budget module all deposits said SQL database in, and the former is by said ventilation forecast budget module invokes, and the latter is called by said output module as a result.
2. ventilation forecasting and early-warning system for mine according to claim 1; It is characterized in that also being provided with in the said output module as a result six prediction output sub-modules; Be used for the output of resolving result, fan condition and ventilation effect to all kinds of branches; They are: the ventilation type is respectively coal-face prediction output sub-module, the driving face prediction output sub-module of coal-face branch and driving face branch; Branch pattern is the fixing fixedly air quantity branch prediction output sub-module of air quantity branch; The blower fan actual parameter prediction output sub-module of output blower fan actual condition is weighed the equivalent orifice prediction output sub-module of ventilation effect and the whole prediction output sub-modules that predict the outcome that resolve the result of exporting all branches.
3. ventilation forecasting and early-warning system for mine according to claim 2 is characterized in that said ventilation forecast budget module also calls external data, the formatted data outside the promptly said SQL database ventilate prediction and early warning calculating.
4. ventilation forecasting and early-warning system for mine according to claim 3 is characterized in that said external data and all is saved in the SQL database to the result that resolves of said external data.
5. ventilation forecasting and early-warning system for mine according to claim 4; It is characterized in that said data file generation module comprises data input submodule and data edition submodule, said data input submodule only is used to said SQL database and creates the raw data file that resolves; Said data edition submodule is used for the data of said raw data file are made amendment.
6. ventilation forecasting and early-warning system for mine according to claim 5; It is characterized in that said data input packet includes network basic parameter and network characterization parameter that submodule received; Said network basic parameter is used to characterize the precision of resolving the result and finds the solution speed, and said network characterization parameter is used for characterizing the characteristic of the blower fan that network type, ventilation characteristics and network be provided with.
7. ventilation forecasting and early-warning system for mine according to claim 6 is characterized in that said network basic parameter comprises iteration precision and maximum iteration time.
8. according to claim 6 or 7 described ventilation forecasting and early-warning system for mine; It is characterized in that said network characterization parameter comprises the network raw data that contains roadway shape in each branch, position, ventilation type feature, the natural ventilation pressure data that contain the fan characteristic data of the characteristic parameter that characterizes ventilating fan and contain the natural ventilation pressure parameter of each branch.
9. ventilation forecasting and early-warning system for mine according to claim 8; It is characterized in that said output module as a result has converts result data extended formatting to and saves as the function of outside result data files, and said outside result data files form is EXCEL or Access form.
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Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102465708A (en) * | 2010-11-12 | 2012-05-23 | 平安煤矿瓦斯治理国家工程研究中心有限责任公司 | Mine ventilation information processing system and method |
| CN102323998B (en) * | 2011-09-29 | 2014-02-05 | 辽宁工程技术大学 | Method for checking wind-friction resistance value of mine roadway |
| CN102953745B (en) * | 2012-10-29 | 2014-10-01 | 中钢集团马鞍山矿山研究院有限公司 | High-efficiency energy-saving mine multi-stage fan station ventilation monitoring technology system |
| CN103410551A (en) * | 2013-08-31 | 2013-11-27 | 山西潞安环保能源开发股份有限公司常村煤矿 | Data analysis system for ventilation safety |
| CN103603691B (en) * | 2013-11-28 | 2016-08-17 | 煤炭科学技术研究院有限公司 | A kind of mine ventilation dynamic resolving and analysis early warning method and system |
| CN103758555B (en) * | 2013-12-18 | 2016-07-06 | 安徽理工大学 | The method being automatically generated ventilation network map by coalmine ventilation network foundation data |
| CN103953393B (en) * | 2014-05-13 | 2016-03-02 | 山东科技大学 | A kind of mine ventilation system subregion stable dynamic monitoring and early warning system |
| CN104564120B (en) * | 2014-11-11 | 2017-02-08 | 中国矿业大学 | Operation state control decision making method of mine ventilation system |
| CN104405427B (en) * | 2014-11-21 | 2017-04-05 | 黑龙江科技大学 | A kind of coal mine ventilating system |
| CN104594937B (en) * | 2015-01-27 | 2017-02-01 | 河南大有能源股份有限公司常村煤矿 | Ventilation method for use during mining of easily spontaneous combustion coal seam face |
| CN105756697B (en) * | 2016-05-05 | 2018-01-02 | 中国矿业大学 | A kind of safe adjustment control method of mine ventilation system Dynamic stage |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1676878A (en) * | 2005-04-08 | 2005-10-05 | 鞍山荣信电力电子股份有限公司 | Mining intelligent gas control system |
| WO2006057549A1 (en) * | 2004-11-25 | 2006-06-01 | Sensata Technologies Holland B.V. | Sensing module and method for gas concentration measurement |
| CN1818343A (en) * | 2005-10-24 | 2006-08-16 | 蒋子刚 | Instant self-adaptive ventilating draining method and rotating system for preventing gas permeable mineral accident |
| CN101235723A (en) * | 2008-02-02 | 2008-08-06 | 西南交通大学 | Express highway section multi- tunnel gathering type intelligent aeration control method |
-
2009
- 2009-05-31 CN CN2009100863630A patent/CN101644168B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006057549A1 (en) * | 2004-11-25 | 2006-06-01 | Sensata Technologies Holland B.V. | Sensing module and method for gas concentration measurement |
| CN1676878A (en) * | 2005-04-08 | 2005-10-05 | 鞍山荣信电力电子股份有限公司 | Mining intelligent gas control system |
| CN1818343A (en) * | 2005-10-24 | 2006-08-16 | 蒋子刚 | Instant self-adaptive ventilating draining method and rotating system for preventing gas permeable mineral accident |
| CN101235723A (en) * | 2008-02-02 | 2008-08-06 | 西南交通大学 | Express highway section multi- tunnel gathering type intelligent aeration control method |
Non-Patent Citations (1)
| Title |
|---|
| 沈海鸿等.预测控制理论在矿井通风系统的应用.《辽宁工程技术大学学报（自然科学版）》.2001,270-272. * |
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