CN110595667B - Method for detecting wind pressure of rail transit ventilation system - Google Patents
Method for detecting wind pressure of rail transit ventilation system Download PDFInfo
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- CN110595667B CN110595667B CN201910840301.8A CN201910840301A CN110595667B CN 110595667 B CN110595667 B CN 110595667B CN 201910840301 A CN201910840301 A CN 201910840301A CN 110595667 B CN110595667 B CN 110595667B
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- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L11/00—Measuring steady or quasi-steady pressure of a fluid or a fluent solid material by means not provided for in group G01L7/00 or G01L9/00
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Abstract
The invention relates to a method for detecting wind pressure of a rail transit ventilation system, which can consider environmental information while detecting the wind pressure, determine an abnormal state according to the environmental information and a wind pressure coefficient, and then select a proper transmission mode, ensure stable transmission of data under the condition of ensuring accuracy, improve the automation degree of wind pressure detection, ensure that maintenance personnel can formulate a maintenance strategy according to an actual position according to the condition of wind pressure detection, improve the efficiency and accuracy of maintenance, reduce the cost and improve the experience of trip personnel.
Description
Technical Field
The invention relates to a method for detecting wind pressure of a rail transit ventilation system.
Background
The rail transit is a common vehicle for people to go out daily, and the quality of a rail transit environment directly influences the experience of people; the track traffic environment receives ventilation system's influence, especially receives the influence of wind pressure among the ventilation system great, and the unusual environment that not only can influence track traffic of wind pressure gives the personnel and brings relatively poor experience, causes the damage easily to equipment simultaneously, influences the life of equipment, causes unnecessary cost of maintenance's increase from this.
At present, the existing wind pressure detection method mainly measures pressure through an instrument and detects the pressure in a manual mode, so that a large amount of manpower and material resources are needed, and the automation level is low; meanwhile, only the wind pressure is considered, and the conditions can not be adjusted according to the actual environment, so that the later maintenance strategy is inaccurate.
Disclosure of Invention
The invention provides a method for detecting the wind pressure of a rail transit ventilation system, aiming at the problems in the wind pressure detection and maintenance process of the conventional rail transit ventilation system.
The method comprises the following steps:
utilize detection device to carry out parameter detection, wherein, detection device includes environment detection device and wind pressure detection device, parameter detection includes:
utilizing an environment monitoring device to detect the ventilation index of the position according to the environment monitoring device;
acquiring a wind pressure coefficient of a detection position of the wind pressure detection device by using the wind pressure detection device;
judging whether the ventilation index and the wind pressure coefficient are both in a normal range;
if the wind pressure coefficient is normal and the ventilation index is abnormal, generating first early warning information, reporting the first early warning information to the management equipment in a wired mode, and adjusting a ventilation system according to an instruction of the management equipment;
if the wind pressure coefficient is abnormal and the ventilation index is normal, information is transmitted in a long-distance wireless ventilation mode, and then the working state of the ventilation system is adjusted according to the instruction of the management equipment;
if the wind pressure coefficient and the ventilation index are abnormal, adjusting the working state of the ventilation system, generating second early warning information at the same time, reporting the second early warning information to the management equipment through the redundant link, and determining a maintenance strategy by the management equipment according to the second early warning information; the second early warning information comprises information for adjusting the working state of the ventilation system and a wind pressure coefficient;
and if the wind pressure coefficient and the ventilation index are normal, transmitting the data to the management equipment in a multi-hop transmission mode.
Wherein the ventilation index C is determined by the following parameters: distances D1 and D2 from the station halls at the two ends, temperature T, humidity H, dust concentration A and estimated personnel flow densities R1 and R2 of the station halls at the two ends;
calculating a required ventilation index C according to the parameters:
wherein, the weighting indexes a and b are constants;
and determining first early warning information according to the ventilation index C.
Wherein the method further comprises: quantizing the ventilation index C and the wind pressure coefficient X to obtain quantization indexes C 'and X';
determining the abnormality degree L according to the quantization indexes C ', X ', the working time t of the ventilation equipment and the quantization index F ' of the ventilation air channel influence factor F, and determining second early warning information according to the abnormality degree L; wherein the abnormality degree L is:
L＝mC'+nX'+kF'；
wherein m, n, k are constants;
wherein, the influence factor F of the ventilation air duct at least comprises dust concentration A1, bacteria-containing concentration P and fan state S, namely
Wherein the method comprises the following steps: the management equipment acquires ventilation index information and an early warning level according to the first early warning information, and specifies a maintenance strategy according to the ventilation index information, the early warning level and the current wind pressure coefficient;
the method further comprises the following steps: the management equipment acquires second early warning information from the redundant link, compares the consistency of the second early warning information, acquires ventilation index information, early warning level and wind pressure coefficient according to the second early warning information if the second early warning information is consistent, and then determines a corresponding maintenance strategy;
wherein the maintenance strategy comprises: automatic maintenance strategies and manual maintenance strategies.
And when detecting that the influence factor F of the ventilation air duct exceeds a preset value, automatically sterilizing, dedusting and cleaning.
The method for detecting the wind pressure of the rail transit ventilation system has the advantages that when the wind pressure is detected, the environment information is considered, the abnormal state is determined according to the environment information and the wind pressure coefficient, so that a proper transmission mode is selected, stable transmission of data is guaranteed under the condition that the accuracy is guaranteed, the automation degree of wind pressure detection is improved, maintenance personnel can make a maintenance strategy according to the actual position according to the wind pressure detection condition, the maintenance efficiency and accuracy are improved, meanwhile, the cost is reduced, and the experience of trip personnel is improved.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a flow chart of a preferred embodiment of the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic views illustrating only the basic structure of the present invention in a schematic manner, and thus show only the constitution related to the present invention.
The invention provides a method for detecting the wind pressure of a rail transit ventilation system, aiming at the problems in the wind pressure detection and maintenance process of the conventional rail transit ventilation system. The method is realized based on a preset detection system, the system at least comprises a detection device and a management device, the management device can be divided into a station hall management device and a central management device, the management devices have different control authorities according to different positions, a superior management device maintains and manages a subordinate management device, and the superior management device verifies and corrects various information and strategies generated/formulated by the subordinate management device. As shown in fig. 1.
Wherein the method comprises the following steps:
utilize detection device to carry out parameter detection, wherein, detection device includes environment detection device and wind pressure detection device, parameter detection includes:
utilizing an environment monitoring device to detect the ventilation index of the position according to the environment monitoring device;
acquiring a wind pressure coefficient of a detection position of the wind pressure detection device by using the wind pressure detection device;
judging whether the ventilation index and the wind pressure coefficient are both in a normal range;
if the wind pressure coefficient is normal and the ventilation index is abnormal, generating first early warning information, reporting the first early warning information to the management equipment in a wired mode, and adjusting a ventilation system according to an instruction of the management equipment;
if the wind pressure coefficient is abnormal and the ventilation index is normal, information is transmitted in a long-distance wireless ventilation mode, and then the working state of the ventilation system is adjusted according to the instruction of the management equipment;
if the wind pressure coefficient and the ventilation index are abnormal, adjusting the working state of the ventilation system, generating second early warning information at the same time, reporting the second early warning information to the management equipment through the redundant link, and determining a maintenance strategy by the management equipment according to the second early warning information; the second early warning information comprises information for adjusting the working state of the ventilation system and a wind pressure coefficient; the redundant link can be a long-distance wireless communication mode and a wired communication mode.
The ventilation system has a multi-stage working mode according to the difference of power and the like, and can automatically adjust the power according to the field environment so as to enter different working modes, thereby improving the resource utilization rate.
And if the wind pressure coefficient and the ventilation index are normal, transmitting the data to the management equipment in a multi-hop transmission mode.
In the detection process of the wind pressure, the detection system is not limited to a wind pressure coefficient, and environmental information is considered at the same time, so that the working state of a ventilation system can be better suitable for the environment, meanwhile, the equipment in the detection system supports various communication modes such as wired communication, long-distance wireless communication, short-distance wireless communication and the like, and the corresponding transmission mode is determined according to the detected information, so that the influence of an external environment on transmission is reduced, and the stability of data transmission is ensured; meanwhile, the scheme of the invention can effectively improve the automation degree of detection.
Wherein the ventilation index C is determined by the following parameters: distances D1 and D2 from the station halls at the two ends, temperature T, humidity H, dust concentration A and estimated personnel flow densities R1 and R2 of the station halls at the two ends;
calculating a required ventilation index C according to the parameters:
wherein, the weighting indexes a and b are constants;
and determining first early warning information according to the ventilation index C.
Wherein the method further comprises: quantizing the ventilation index C and the wind pressure coefficient X to obtain quantization indexes C 'and X';
determining the abnormality degree L according to the quantization indexes C ', X ', the working time t of the ventilation equipment and the quantization index F ' of the ventilation air channel influence factor F, and determining second early warning information according to the abnormality degree L; wherein the abnormality degree L is:
L＝mC'+nX'+kF'；
wherein m, n, k are constants; the larger the value of t is, the larger the influence of F is, that is, the larger k has a higher specific gravity, for example, when m + n + k is 1, when t is larger, k may be equal to or greater than m + n.
Wherein, the influence factor F of the ventilation air duct at least comprises dust concentration A1, bacteria-containing concentration P and fan state S, namely
The above scheme is a deterministic approach for the case where an anomaly is sent at a non-lobby location, and when an anomaly occurs at a lobby location,
wherein, R is the maximum value of the passenger flow of the current station.
Wherein the method further comprises: the management equipment acquires ventilation index information and an early warning level according to the first early warning information, and specifies a maintenance strategy according to the ventilation index information, the early warning level and the current wind pressure coefficient;
all parameters related to the invention can be expressed according to the known meaning, and can also be quantized according to the actual requirements, so as to simplify the complexity of calculation, namely, the parameters can be quantized into different levels according to the actual parameter value range, for example, when the dust concentration is quantized, the parameters can be defined into different quantized values, such as 1, 2, 3 and the like, according to the actual concentration range; and then, calculation is carried out according to the quantized values so as to improve the operation efficiency.
The method further comprises the following steps: the management equipment acquires second early warning information from the redundant link, compares the consistency of the second early warning information, acquires ventilation index information, early warning level and wind pressure coefficient according to the second early warning information if the second early warning information is consistent, and then determines a corresponding maintenance strategy;
wherein the maintenance strategy comprises: automatic maintenance strategies and manual maintenance strategies.
Preferably, the method further includes generating a corresponding maintenance work order according to the maintenance strategy, where the work order includes an automatic maintenance work order and a manual maintenance work order, that is, according to the actual maintenance requirement, automatic maintenance or manual maintenance is performed, which not only improves the utilization rate of resources, but also reduces the operation and maintenance cost.
Meanwhile, the management device also generates a configuration file according to the early warning information and sends the configuration file to at least 3 detection devices (namely, a device which finds the abnormality and two devices adjacent to the device) to detect the corresponding information, wherein the configuration file comprises detection parameters, time, a monitoring mode, a reporting mode and the like between the detection devices, namely, the detection devices detect the information mutually and determine the development trend of the abnormality according to the reporting mode (period or real time), so that the management device can revise the maintenance strategy conveniently.
And when detecting that the influence factor F of the ventilation air duct exceeds a preset value, automatically sterilizing, dedusting and cleaning. Preferably, the automatic cleaning system has a plurality of configuration modes according to the influence factor F, for example, when the influence factor F exceeds a first preset value and is less than a second preset value, the automatic cleaning operation is executed, and when the influence factor F is greater than the second preset value, that is, exceeds the automatic cleaning capability, the automatic cleaning operation is reported to require manual intervention for cleaning. Therefore, the service life of the equipment can be prolonged under the condition of timely cleaning.
The method for detecting the wind pressure of the rail transit ventilation system has the advantages that when the wind pressure is detected, the environment information is considered, the abnormal state is determined according to the environment information and the wind pressure coefficient, so that a proper transmission mode is selected, stable transmission of data is guaranteed under the condition that the accuracy is guaranteed, the automation degree of wind pressure detection is improved, maintenance personnel can make a maintenance strategy according to the actual position according to the wind pressure detection condition, the maintenance efficiency and accuracy are improved, meanwhile, the cost is reduced, and the experience of trip personnel is improved.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (3)
1. A method for detecting wind pressure of a rail transit ventilation system is characterized by comprising the following steps:
utilize detection device to carry out parameter detection, wherein, detection device includes environment detection device and wind pressure detection device, parameter detection includes:
determining a ventilation index of a detection position of the environment monitoring device by using the environment monitoring device;
acquiring a wind pressure coefficient of a detection position of the wind pressure detection device by using the wind pressure detection device;
judging whether the ventilation index and the wind pressure coefficient are both in a normal range;
if the wind pressure coefficient is normal and the ventilation index is abnormal, generating first early warning information, reporting the first early warning information to the management equipment in a wired mode, and adjusting a ventilation system according to an instruction of the management equipment;
if the wind pressure coefficient is abnormal and the ventilation index is normal, information is transmitted in a long-distance wireless communication mode, and then the working state of the ventilation system is adjusted according to the instruction of the management equipment;
if the wind pressure coefficient and the ventilation index are abnormal, adjusting the working state of the ventilation system, generating second early warning information at the same time, reporting the second early warning information to the management equipment through the redundant link, and determining a maintenance strategy by the management equipment according to the second early warning information; the second early warning information comprises information for adjusting the working state of the ventilation system and a wind pressure coefficient;
if the wind pressure coefficient and the ventilation index are normal, transmitting the wind pressure coefficient and the ventilation index to management equipment in a multi-hop transmission mode;
after the management equipment acquires the detection information, determining whether to adopt ordinary emergency processing, emergency processing or normal processing according to the transmission mode of the received information;
wherein the ventilation index C is determined by the following parameters: distances D1 and D2 from the station halls at the two ends, temperature T, humidity H, dust concentration A and estimated personnel flow densities R1 and R2 of the station halls at the two ends;
calculating a required ventilation index C according to the parameters:
wherein, the weighting indexes a and b are constants;
determining first early warning information according to the ventilation index C;
wherein the method further comprises: quantizing the ventilation index C and the wind pressure coefficient X to obtain quantization indexes C 'and X';
determining the abnormality degree L according to the quantization indexes C ', X ', the working time t of the ventilation equipment and the quantization index F ' of the ventilation air channel influence factor F, and determining second early warning information according to the abnormality degree L; wherein the abnormality degree L is:
L＝mC‘+nX'+kF'；
wherein m, n, k are constants;
wherein, the influence factor F of the ventilation air duct at least comprises dust concentration A1, bacteria-containing concentration P and fan state S, namely
2. The method of claim 1, wherein the method comprises: the management equipment acquires ventilation index information and an early warning level according to the first early warning information, and specifies a maintenance strategy according to the ventilation index information, the early warning level and the current wind pressure coefficient;
the method further comprises the following steps: the management equipment acquires second early warning information from the redundant link, compares the consistency of the second early warning information, acquires ventilation index information, early warning level and wind pressure coefficient according to the second early warning information if the second early warning information is consistent, and then determines a corresponding maintenance strategy;
wherein the maintenance strategy comprises: automatic maintenance strategies and manual maintenance strategies.
3. The method of claim 2, further comprising performing an automatic sterilization, de-dusting, and cleaning when the ventilation duct impact factor F is detected to exceed a predetermined value.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2051201U (en) * | 1989-03-14 | 1990-01-17 | 广州铁路局科学技术研究所 | Wind pressure monitor for train rear vehicle |
| US5822227A (en) * | 1996-05-23 | 1998-10-13 | Tokyo Metropolitan Subway Construction Corporation | Air-conditioning and ventilation simulator in subsurface space |
| CN101308060A (en) * | 2008-06-20 | 2008-11-19 | 浙江金盾风机风冷设备有限公司 | Subway ventilating system simulation test device |
| CN201212855Y (en) * | 2008-06-20 | 2009-03-25 | 浙江金盾风机风冷设备有限公司 | Subway ventilation system simulating test apparatus |
| CN206889006U (en) * | 2017-06-28 | 2018-01-16 | 中铁第四勘察设计院集团有限公司 | A kind of subway tunnel ventilating system |
-
2019
- 2019-09-06 CN CN201910840301.8A patent/CN110595667B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2051201U (en) * | 1989-03-14 | 1990-01-17 | 广州铁路局科学技术研究所 | Wind pressure monitor for train rear vehicle |
| US5822227A (en) * | 1996-05-23 | 1998-10-13 | Tokyo Metropolitan Subway Construction Corporation | Air-conditioning and ventilation simulator in subsurface space |
| CN101308060A (en) * | 2008-06-20 | 2008-11-19 | 浙江金盾风机风冷设备有限公司 | Subway ventilating system simulation test device |
| CN201212855Y (en) * | 2008-06-20 | 2009-03-25 | 浙江金盾风机风冷设备有限公司 | Subway ventilation system simulating test apparatus |
| CN206889006U (en) * | 2017-06-28 | 2018-01-16 | 中铁第四勘察设计院集团有限公司 | A kind of subway tunnel ventilating system |
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