CN116659773A - Automatic detection system and method for 24-hour air tightness test - Google Patents
Automatic detection system and method for 24-hour air tightness test Download PDFInfo
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- 238000009530 blood pressure measurement Methods 0.000 claims abstract description 11
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- BZHJMEDXRYGGRV-UHFFFAOYSA-N Vinyl chloride Chemical compound ClC=C BZHJMEDXRYGGRV-UHFFFAOYSA-N 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 231100000481 chemical toxicant Toxicity 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000002360 explosive Substances 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000003440 toxic substance Substances 0.000 description 2
- KRHYYFGTRYWZRS-UHFFFAOYSA-N Fluorane Chemical compound F KRHYYFGTRYWZRS-UHFFFAOYSA-N 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 229910000040 hydrogen fluoride Inorganic materials 0.000 description 1
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- 238000012423 maintenance Methods 0.000 description 1
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- 239000003345 natural gas Substances 0.000 description 1
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- 229910052760 oxygen Inorganic materials 0.000 description 1
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- 231100000331 toxic Toxicity 0.000 description 1
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- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
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- F17D5/00—Protection or supervision of installations
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- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
- G01M3/28—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds
- G01M3/2807—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes
- G01M3/2815—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves ; for welds for pipes using pressure measurements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The invention discloses an automatic detection system for 24-hour air tightness test and a method thereof, wherein the automatic detection system comprises a terminal detection device, a cloud platform server and a user mobile terminal, wherein a temperature sensor, a pressure sensor and an atmospheric pressure measurement sensor are arranged on the terminal detection device, the temperature sensor is directly contacted with a medium by being arranged in a temperature probe, the pressure sensor is arranged in a threaded hollow part, a pressure measuring hole for introducing a measured medium into the pressure sensor is formed in a connecting plane of the temperature probe and the threaded hollow part, the atmospheric pressure measurement sensor exposed in the atmosphere is arranged in a cylindrical part, and the terminal detection device realizes transmission with a data analyzer through wireless sensing communication. The invention has the following advantages and effects: the tightness or leakage of the pipeline in the use process can be automatically detected for 24 hours, the risk caused by manual reading calculation errors or false making is avoided, and the use safety and personal safety of the pressure pipeline are ensured.
Description
Technical Field
The invention relates to a detection system, in particular to an automatic detection system for 24-hour air tightness test and a method thereof.
Background
The pressure pipeline is filled with toxic, harmful, flammable and explosive mediums, and particularly extremely, highly harmful and flammable and explosive mediums such as natural gas, oxygen, hydrogen fluoride, vinyl chloride and the like, if the pressure pipeline is slightly careless in the installation process, leakage is easy to occur in the use process, casualties and social instability of personnel are caused, the leakage event of toxic chemicals vinyl chloride which occurs in the past, and particularly the leakage event of the toxic chemicals vinyl chloride which occurs in the state of Ohio in the United states of America is of global interest. Therefore, in the corresponding pipeline construction standards, such as the standards of CJJ33, GB50030, GB50177 and the like, the requirement of the pipeline air tightness or leakage test is determined, the test time is 24 hours, and the pressure and the temperature in the pipeline and the atmospheric pressure at the time are obtained every one hour and are used for calculating whether the leakage test is qualified or not.
The pipeline test requires large manpower, is easy to make mistakes in the process of data reading and calculation, and even has the actions of falsifying and falsifying by some installation units. In order to reduce the manpower input, a robot is adopted to replace the human body, and the leakage test process is standardized. There is a need for improved systems and methods for pressure line tightness detection.
Disclosure of Invention
The invention aims to provide an automatic detection system and method for 24-hour air tightness test, which can detect the air tightness of a pressure pipeline in the pressure pipeline test process, reduce the manpower input and avoid errors in the data reading and calculating process.
The technical aim of the invention is realized by the following technical scheme: an automatic detection system for 24-hour air tightness test comprises terminal detection equipment, a cloud platform server and a user mobile terminal; the terminal detection equipment is provided with a temperature sensor, a pressure sensor and an atmospheric pressure measurement sensor, and consists of a temperature probe, a threaded hollow part, a cylindrical part and a wireless sensing module, wherein the temperature probe is arranged at the lower end of the threaded hollow part, the upper end of the threaded hollow part is fixed with the bottom end of the cylindrical part, and the top end of the cylindrical part is provided with the wireless sensing module; the temperature measuring sensor is arranged on the temperature probe and can be directly contacted with the medium, the pressure measuring sensor is arranged in the threaded hollow part, a pressure measuring hole for introducing the measured medium into the pressure measuring sensor is formed in the connecting plane of the temperature probe and the threaded hollow part, and the cylinder part is provided with an atmospheric pressure measuring sensor for detecting atmospheric pressure; the cloud platform server comprises a data analyzer, a database, an algorithm programmer and a UI display end; the terminal detection equipment realizes communication transmission with a data analyzer through a wireless sensing module, and the data analyzer, a database, an algorithm programmer, a UI display end and a user mobile terminal are mutually communicated.
The invention also provides a pressure pipeline air tightness detection method of the automatic detection system; the method comprises the following steps:
1) Arranging a terminal detection device in the pressure pipeline; the terminal detection equipment uploads three data of the acquired temperature and pressure in the medium and the atmospheric pressure to the cloud platform server through the wireless sensor module at the frequency of n times/min, and the data analyzer in the cloud platform server distinguishes and classifies the data according to the medium temperature, the medium pressure and the atmospheric pressure;
2) The cloud platform server firstly stores the received data processed by the data analyzer in a database, and automatically calculates test result data according to a built-in algorithm programmer after detection is finished;
3) The cloud platform server displays data which are distinguished and classified by the data analyzer according to the medium temperature, the medium pressure and the atmospheric pressure on a UI display end and a user mobile terminal in a curve form in real time; and after the detection is finished, the test result data calculated according to the built-in algorithm programmer is displayed in a curve mode.
As a preferable scheme of the invention, after the data of the data analyzer enter the database, three curves of medium pressure, medium temperature and local atmospheric pressure changing along with time are respectively arranged, and the change condition of each data along with time within 24 hours can be intuitively seen from the curves.
As a preferable scheme of the invention, the shape of the pressure curve of the medium is determined by the tightness of the pressure pipeline, and in order to verify the condition of the air tightness test of the pressure pipeline, the shape of the pressure curve is automatically calculated according to a correction formula of the air tightness test, and the correction formula is as follows:
wherein Δp' is the corrected pressure drop in units of: pa; h 1 And H 2 The values of the in-tube pressure at the beginning and end of the test are represented in units: pa; and B is 1 And B 2 The barometric pressure values at the beginning and end of the test are represented in units: pa; t is t 1 And t 2 Representing the temperature of the medium in the tube at the beginning and end of the test, respectively.
As a preferable scheme of the invention, in order to avoid the influence of unstable initial pressure on test results when calculating the acquired data, a stable coefficient of the pressure in the pipe is introduced; when the stability coefficient of the pressure in the pipe is smaller than the threshold value C, the correction formula is started to calculate the acquired data, and the stability coefficient is calculated as follows:
wherein lambda is j The number of stable systems corresponding to the moment j is H i The pressure value in the tube acquired at the moment i,for the average value of the pressure value in the tube obtained from the beginning time to the j time, N j The total number of accumulated samples corresponding to the moment j.
When lambda is j When the pressure is smaller than the threshold C, the terminal detection equipment detects that the corresponding pressure value, the atmospheric pressure value and the medium temperature value in the pipe are respectively recorded as H from the moment j 1 、B 1 、T 1 I.e. the data of the beginning of the test, whereas the values of the pressure in the tube, the atmospheric pressure and the temperature of the medium in the tube measured at time j and pushed back for 24 hours are taken as the data of the end of the test, i.e. H 2 、B 2 、T 2 。
As a preferable scheme of the invention, in order to detect the pressure mutation in the pressure pipeline test process, an algorithm programmer is provided with a process abnormality detection mechanism, and an abnormality coefficient eta is introduced, and a specific calculation formula is as follows:
wherein H is 1 And H 2 Represents the value of the in-tube pressure at the effective start time and the end time of the test, H i Represents the in-tube pressure value sampled at time i, and M represents the total number of samples from the beginning of the test to the end of the test.
Since the pressure in the pressure pipeline is slowly reduced in the test process under normal conditions, according to the calculation formula of the anomaly coefficient eta, eta is approaching to 0, namely the total difference between the test starting time and the test ending time is equal to the sum of each adjacent difference in the process. When larger pressure fluctuation occurs in the test process, particularly in the case of sudden increase, human intervention is very likely to occur, and the calculation formula of the anomaly coefficient eta can know that the value of the pressure increase can realize reverse accumulation, so that effective identification of the sudden increase is realized.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, based on the cloud platform server, through the autonomous design and application of the terminal detection equipment, three values of temperature and pressure in a medium and atmospheric pressure are uploaded to the cloud platform server through the internet of things (NB or Lora) at a frequency of once per minute, so that the display of dynamic data and result data is realized;
the invention introduces a correction formula in the algorithm, and simultaneously introduces a pressure stability coefficient and a threshold C in the pipe in order to avoid the influence of unstable initial pressure on the test result;
the algorithm of the invention also adds a process anomaly detection mechanism, introduces anomaly coefficient eta from the condition of self-detection and reflection of the abrupt change of the pressure in the tube, and finally visually displays the pressure curve in the tube through a UI display or a webpage and other terminal equipment.
According to the invention, whether the pressure in the pipe is stable or not and whether the pressure mutation condition exists or not is monitored through the processing of the pressure data in the pipe after the acquisition, so that the air tightness of the pressure pipe is reflected, and the direction of maintenance work guidance is reflected, thereby ensuring the normal work of the pressure pipe and ensuring the safety of staff.
Drawings
FIG. 1 is a schematic diagram of an automatic detection system for 24-hour airtight test;
fig. 2 is a schematic diagram of the structure of the terminal detection device in fig. 1.
Reference numerals: 1. a terminal detection device; 2. a temperature sensor; 3. a pressure sensor; 4. an atmospheric pressure measurement sensor; 11. a temperature probe; 12. a threaded hollow portion; 13. a cylindrical portion; 121. and (5) measuring pressure holes.
Detailed Description
The invention is further illustrated and described below in connection with specific embodiments. The described embodiments are merely exemplary of the present disclosure and do not limit the scope. The technical features of the embodiments of the invention can be combined correspondingly on the premise of no mutual conflict.
As shown in fig. 1-2, an automatic detection system for 24-hour airtight test comprises a terminal detection device 1, a data analyzer, a database, an algorithm programmer, a UI display end, a user mobile terminal or a PC terminal, wherein the terminal detection device 1 is provided with a temperature measurement sensor 2, a pressure measurement sensor 3 and an atmospheric pressure measurement sensor 4, the terminal detection device 1 is composed of a temperature probe 11, a threaded hollow part 12, a cylindrical part 13 and a wireless sensor module 14, the temperature measurement sensor 2 is directly contacted with a medium by being installed in the temperature probe 11, the pressure measurement sensor 3 is arranged in the threaded hollow part 12, a hole 121 for introducing a measured medium into the pressure measurement sensor 3 is formed in a connection plane of the temperature probe 11 and the threaded hollow part 12, the cylindrical part 13 is provided with the atmospheric pressure measurement sensor 4 exposed in the atmosphere, the terminal detection device 1 is communicated with the database by the wireless sensor module 14, and the database, the algorithm programmer, the UI display end, the user mobile terminal or the PC terminal are sequentially communicated with each other, and the data analyzer, the UI display end and the database analyzer and the algorithm display end are used for displaying the cloud platform.
In a specific embodiment of the present invention, there is also provided a pressure pipe air tightness detection method of the detection system of the present invention, including the steps of:
1) The terminal detection device 1 uploads the three values of the acquired temperature and pressure in the medium and the atmospheric pressure to a cloud platform server consisting of a data analyzer, a database, an algorithm programmer and a UI display end through an internet of things (NB) or a Lora wireless sensing module 14 at the frequency of 1 time/min, and the three values are processed by the data analyzer.
2) The cloud platform server firstly stores the received data processed by the data analyzer in a database, and then automatically calculates test result data according to a built-in algorithm programmer after the test is finished.
3) The cloud platform server can intuitively display dynamic data of each module received in real time in a curve mode through a UI display end or other webpage modes, and can display all data and result data after the test is finished in the curve mode.
Further, after the data through the data analyzer enter the database, three curves of medium pressure, medium temperature and local atmospheric pressure changing along with time are respectively arranged, and the change condition of each data along with time within 24 hours can be intuitively seen from the curves.
Further, the shape of the pressure curve of the medium is determined by the tightness of the pressure pipeline, and in order to verify the condition of the tightness test of the pressure pipeline, the shape of the pressure curve of the medium is automatically calculated according to a correction formula of the tightness test, wherein the correction formula is as follows:
wherein ΔP is the corrected pressure drop (unit: pa), H 1 And H 2 Representing the in-tube pressure value (unit: pa) at the start of the test and at the end of the test, respectively, and B 1 And B 2 Represents the atmospheric pressure value (unit: pa), t at the start of the test and at the end of the test, respectively 1 And t 2 The graph represents the temperature (in DEG C) of the medium in the tube at the beginning and end of the test, respectively
Further, the initial pressure instability in the tube has a great influence on the test result, and in order to avoid the influence of the initial pressure instability on the test result, a stabilizing coefficient of the pressure in the tube is introduced. When the pressure in the pipe is stable to a certain extent, namely the stability coefficient is smaller than the threshold value C, the correction formula is applied to calculate the acquired data, and the stability coefficient is calculated as follows:
wherein lambda is j The number of stable systems corresponding to the moment j is H i The pressure value in the tube acquired at the moment i,for the average value of the pressure value in the tube obtained from the beginning time to the j time, N j The total number of accumulated samples corresponding to the moment j.
When lambda is j When the pressure value is smaller than the threshold value C, the terminal detection device 1 detects that the corresponding pressure value, atmospheric pressure value and medium temperature value in the pipe are respectively recorded as H from the moment j 1 、B 1 、T 1 I.e. the data of the start of the test, and the data measured 24 hours after the time j is taken as the data of the end of the test, i.e. H 2 、B 2 、T 2 。
Furthermore, in order to detect the pressure mutation in the pressure pipeline test process, the method is provided with a process abnormality detection mechanism, and an abnormality coefficient eta is introduced, and a specific calculation formula is as follows:
wherein H is 1 And H 2 Represents the value of the in-tube pressure at the effective start time and the end time of the test, H i Represents the in-tube pressure value sampled at time i, and M represents the total number of samples from the beginning of the test to the end of the test.
Since the pressure in the pressure pipeline is slowly reduced in the test process under normal conditions, according to the calculation formula of the anomaly coefficient eta, eta is approaching to 0, namely the total difference between the test starting time and the test ending time is equal to the sum of each adjacent difference in the process. When larger pressure fluctuation occurs in the test process, particularly in the case of sudden increase, human intervention is very likely to occur, and the calculation formula of the anomaly coefficient eta can know that the value of the pressure increase can realize reverse accumulation, so that effective identification of the sudden increase is realized.
Specific examples: the terminal detection device 1 uploads the three values of the acquired temperature and pressure in the medium and the atmospheric pressure to the data analyzer for processing through the internet of things (NB or Lora) at the frequency of 1 time/min. The data processed by the data analyzer 2 are stored in a database, and under normal conditions, pressure values of 5 times corresponding to the beginning of the test to the end of the test are obtained: 5. 4, 3, 2 and 1, and calculating an anomaly coefficient of 0 according to an anomaly detection mechanism formula. When the human intervention is pressurized, the corresponding pressure value is as follows: 5. 3, 5, 4 and 4, and calculating according to a formula to obtain an anomaly coefficient of 5.
To more intuitively show the test process, H in the formula is corrected 2 、B 2 、T 2 And respectively replacing the pressure value, the atmospheric pressure value and the medium temperature value in the pipe at the current moment, and calculating the dynamic pressure drop value in real time to form a pressure drop curve. Meanwhile, in order to verify the pressure drop condition, three threshold values C are set below the pressure drop curve, namely, pressure drop required values of 50%,80% and 100% are respectively set to be 133Pa, when the pressure drop is within 50%, the pressure drop area is green, a yellow early warning signal is displayed when the pressure drop is between 50% and 80%, an orange early warning signal is displayed when the pressure drop is between 80% and 100%, and a red disqualification signal is displayed when the pressure drop is greater than 100%, so that the pressure drop is visual. And after the test is finished, automatically calculating test result data according to a built-in algorithm programmer, visually displaying dynamic data of each module received in real time in a curve form through a UI display end or other webpage forms, displaying all data and result data after the test is finished in the curve form, and judging whether the air tightness meets the use requirement of the pressure pipeline or not through reading curve information.
Meanwhile, two data and result query modes are provided for the convenience of a user. The first is a terminal equipment query, and the second is a user mobile equipment such as a mobile phone and a tablet query. The first mode is that the terminal detection device 1 displays corresponding data through a display interface, and a user can display dynamic data and test results on the user mobile device through an operation button on the user mobile device. The second mode provides convenience for users, and can realize remote checking of detection results and detection processes.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit of the invention.
Claims (6)
1. The utility model provides a 24 hours automated inspection system for airtight test, includes terminal detection equipment (1), cloud platform server, user mobile terminal, its characterized in that: the terminal detection device (1) is provided with a temperature measurement sensor (2), a pressure measurement sensor (3) and an atmospheric pressure measurement sensor (4), the terminal detection device (1) is composed of a temperature probe (11), a threaded hollow part (12), a cylindrical part (13) and a wireless sensing module (14), the temperature probe (11) is arranged at the lower end of the threaded hollow part (12), the upper end of the threaded hollow part (12) is fixed with the bottom end of the cylindrical part (13), and the top end of the cylindrical part (13) is provided with the wireless sensing module (14); the temperature measuring sensor (2) is arranged on the temperature probe (11) and can be directly contacted with a medium, the pressure measuring sensor (3) is arranged on the threaded hollow part (12), a pressure measuring hole (121) for introducing a measured medium into the pressure measuring sensor (3) is formed in the connecting plane of the temperature probe (11) and the threaded hollow part (12), and the cylinder part (13) is provided with an atmospheric pressure measuring sensor (4) for detecting atmospheric pressure; the cloud platform server comprises a data analyzer, a database, an algorithm programmer and a UI display end; the terminal detection device (1) is communicated with a data analyzer through a wireless sensing module (14), and the data analyzer, a database, an algorithm programmer, a UI display end and a user mobile terminal are communicated with each other.
2. A pressure pipe air tightness detection method based on the automatic detection system of claim 1, comprising the following steps:
1) Arranging a terminal detection device (1) in the pressure pipeline; the terminal detection equipment (1) uploads three data of the acquired temperature and pressure in the medium and the atmospheric pressure to the cloud platform server through the wireless sensing module (14) at the frequency of n times/min, and the data is distinguished and classified according to the temperature of the medium, the pressure of the medium and the atmospheric pressure by the data analyzer in the cloud platform server;
2) The cloud platform server firstly stores the received data processed by the data analyzer in a database, and automatically calculates test result data according to a built-in algorithm programmer after detection is finished;
3) The cloud platform server displays the data which are distinguished and classified by the data analyzer on the UI display end and the user mobile terminal in a curve form in real time; and after the detection is finished, the test result data calculated according to the built-in algorithm programmer is displayed in a curve mode.
3. The detection method according to claim 2, wherein: after the data from the data analyzer in step 3) enter the database, there are three curves of medium pressure, medium temperature and local atmospheric pressure, respectively, over time.
4. A detection method according to claim 3, wherein: the shape of the pressure curve of the medium is determined by the tightness of the pressure pipeline, and in order to verify the air tightness test condition of the pressure pipeline, the shape of the pressure curve of the medium is automatically calculated according to a correction formula of the air tightness test, and the correction formula is as follows:
wherein ΔP' is a corrected pressure drop (unit: pa), H 1 And H 2 Representing the in-tube pressure value (unit: pa) at the start of the test and at the end of the test, respectively, and B 1 And B 2 Represents the atmospheric pressure values (unit: pa) at the start and end of the test,t 1 and t 2 The graph represents the temperature of the medium in the tube at the start and end of the test, respectively.
5. The method of claim 4, wherein: in order to avoid the influence of unstable initial pressure on test results when the acquired data are calculated, a stable coefficient of the pressure in the pipe is introduced; when the stability coefficient of the pressure in the pipe is smaller than the threshold value C, the correction formula is started to calculate the acquired data, and the stability coefficient is calculated as follows:
wherein lambda is j The number of stable systems corresponding to the moment j is H i The pressure value in the tube acquired at the moment i,for the average value of the pressure value in the tube obtained from the beginning time to the j time, N j The total number of accumulated samples corresponding to the moment j;
when lambda is j When the pressure value is smaller than the threshold value C, the terminal detection device (1) detects that the corresponding pressure value, atmospheric pressure value and medium temperature value in the pipe are respectively recorded as H from the moment j 1 、B 1 、T 1 I.e. the data of the beginning of the test, whereas the values of the pressure in the tube, the atmospheric pressure and the temperature of the medium in the tube measured at time j and pushed back for 24 hours are taken as the data of the end of the test, i.e. H 2 、B 2 、T 2 。
6. The detection method according to claim 2, wherein: in order to detect the pressure mutation in the pressure pipeline test process, the algorithm programmer is provided with a process abnormality detection mechanism, and an abnormality coefficient eta is introduced, and a specific calculation formula is as follows:
wherein H is 1 And H 2 Represents the value of the in-tube pressure at the effective start time and the end time of the test, H i Represents the in-tube pressure value sampled at time i, and M represents the total number of samples from the beginning of the test to the end of the test.
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