CN117665950B - Gas enrichment area detection method based on quantitative particles - Google Patents
Gas enrichment area detection method based on quantitative particles Download PDFInfo
- Publication number
- CN117665950B CN117665950B CN202410132952.2A CN202410132952A CN117665950B CN 117665950 B CN117665950 B CN 117665950B CN 202410132952 A CN202410132952 A CN 202410132952A CN 117665950 B CN117665950 B CN 117665950B
- Authority
- CN
- China
- Prior art keywords
- gas
- detection
- electromagnetic particle
- particle wave
- gas detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 268
- 239000002245 particle Substances 0.000 title claims abstract description 188
- 230000003993 interaction Effects 0.000 claims abstract description 22
- 238000012512 characterization method Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims description 10
- 239000000126 substance Substances 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000009471 action Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 230000001427 coherent effect Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 2
- 239000007789 gas Substances 0.000 description 192
- 230000009286 beneficial effect Effects 0.000 description 9
- 239000003245 coal Substances 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 1
- OTMSDBZUPAUEDD-UHFFFAOYSA-N Ethane Chemical compound CC OTMSDBZUPAUEDD-UHFFFAOYSA-N 0.000 description 1
- 239000001273 butane Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 1
- IJDNQMDRQITEOD-UHFFFAOYSA-N n-butane Chemical compound CCCC IJDNQMDRQITEOD-UHFFFAOYSA-N 0.000 description 1
- OFBQJSOFQDEBGM-UHFFFAOYSA-N n-pentane Natural products CCCCC OFBQJSOFQDEBGM-UHFFFAOYSA-N 0.000 description 1
- 239000001294 propane Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a gas enrichment area detection method based on quantitative particles, which belongs to the technical field of physical exploration and comprises the following steps: acquiring a gas sample and determining a region to be detected by gas; selecting an electromagnetic particle wave parameter value based on a gas sample, and inputting the electromagnetic particle wave parameter value into a gas detection device; driving the gas detection equipment to generate electromagnetic particle waves with gas quantum physical states according to the selected electromagnetic particle wave parameter values, and taking the electromagnetic particle waves as gas detection electromagnetic particle waves; acquiring the characterization physical quantity of the quantum physical field generated after the interaction by using gas detection equipment based on the detection optimal power model to obtain the gas detection physical quantity; when the gas detection physical quantity is larger than a preset gas enrichment threshold, based on a unit detection area corresponding to the gas detection physical quantity, recording the space position where interaction occurs between the electromagnetic particle wave for gas detection and the unit detection area, and obtaining a gas enrichment area. The invention solves the problem that the gas enrichment area is difficult to detect in a high-efficiency and controllable manner.
Description
Technical Field
The invention belongs to the technical field of physical exploration, and particularly relates to a gas enrichment area detection method based on quantitative particles.
Background
Coal mine is the main energy source of China, and coal occupies an important position in the national energy consumption. But the combustion emission of coal can cause atmospheric pollution and greenhouse gas emission, which have serious influence on the environment. The coal and gas co-mining technology can reduce the combustion emission of coal by collecting and utilizing the gas in the reservoir, realize the adjustment of the energy structure and promote the sustainable development. In the coal mining process, gas (mainly methane) is one of the most main harmful gases in a mine, and mine gas explosion accidents are easily caused. The gas detection is a basic task for gas detection of a coal mine, is also a core task, and is mainly used for accurately measuring and monitoring the concentration of the gas in the mine.
The traditional gas monitoring technology comprises a read-only detector, an optical gas detection, an acoustic gas detection and an electrochemical gas detection, wherein the read-only detector is the most common and commonly used gas detection equipment, can directly acquire the gas concentration in a reading mode, but has a limited detection distance, the optical gas detection technology is used for measuring the gas concentration by using a rare gas laser instrument, but has a low price, the optical path is easily affected by complex geological structures, the acoustic gas detection technology is used for judging the gas concentration by measuring the propagation speed and the frequency of an acoustic wave signal, the acoustic gas detection technology is suitable for gas detection in a specific environment, the electrochemical gas detection is used for monitoring the gas concentration in real time by using a specific electrochemical sensor, the dependence on the layout, the number and the like of the sensor is high, noise interference caused by the electromagnetic environment is easy to occur, the defect of the traditional gas detection technology can be avoided by the effective detection of the particles, the power control of the gas detection equipment based on the particles still needs to be improved, otherwise, the detection effect and the detection cost is not balanced, and the cost is easy to waste is caused.
Disclosure of Invention
According to the gas enrichment region detection method based on quantitative particles, provided by the invention, the electric particle wave parameters of a gas sample are obtained under the scene of ultralow temperature and quantum wells, the gas detection electromagnetic particle waves are correspondingly generated based on the gas detection equipment, the characteristic physical quantity of a quantum physical field generated after the gas detection equipment acquires interaction is efficiently controlled based on a detection optimal power model, and the spatial position of the interaction between the gas detection electromagnetic particle waves and a unit detection region is recorded, so that the gas enrichment region is obtained, and the problem that the gas enrichment region is difficult to efficiently and controllably detect is solved.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
the invention provides a gas enrichment area detection method based on quantitative particles, which comprises the following steps:
s1, acquiring a gas sample, and determining a gas detection area to be detected;
s2, selecting an electromagnetic particle wave parameter value based on a gas sample, and inputting the electromagnetic particle wave parameter value into gas detection equipment;
s3, driving the gas detection equipment to generate electromagnetic particle waves with physical states of gas quanta according to the selected electromagnetic particle wave parameter values, and using the electromagnetic particle waves as gas detection electromagnetic particle waves;
s4, transmitting gas detection electromagnetic particle waves to a unit detection area in the area to be detected by gas, and acquiring the characterization physical quantity of the quantum physical field generated after interaction by using gas detection equipment based on a detection optimal power model to obtain the gas detection physical quantity;
s5, judging whether the gas detection physical quantity is larger than a preset gas enrichment threshold, if so, entering S6, otherwise, resetting a unit detection area, and returning to S4;
s6, based on a unit detection area corresponding to the gas detection physical quantity, recording the space position of interaction between the electromagnetic particle wave for gas detection and the unit detection area, and obtaining a gas enrichment area.
The beneficial effects of the invention are as follows: according to the gas enrichment area detection method based on the quantitative particles, the electromagnetic particle waves corresponding to the gas samples are used for directly detecting underground gas, noise interference caused by underground complex geological structures and electromagnetic environments is eliminated, detection results can be directly utilized, errors caused by manual interpretation experience differences are eliminated, meanwhile, the gas detection equipment can be effectively controlled in power through the optimal power model, detection cost can be effectively reduced on the basis of guaranteeing detection performance, the accuracy of gas detection can be effectively guaranteed on the basis of reselection of electromagnetic particle wave parameter values, detection can be completed only in a short time at the deepest depth of detection, and the gas detection construction period and detection cost are greatly shortened.
Further, the step S2 includes the following steps:
s21, acquiring electromagnetic particle waves of a gas sample;
s22, acquiring a group of electromagnetic particle wave parameter values representing gas based on electromagnetic particle waves of a gas sample, and taking the electromagnetic particle wave parameter values as a detection electromagnetic particle wave parameter group;
s23, randomly selecting one electromagnetic particle wave parameter value in the electromagnetic wave parameter group, and inputting the electromagnetic particle wave parameter value into the gas detection equipment.
The beneficial effects of adopting the further scheme are as follows: according to the invention, the electromagnetic particle wave parameter set capable of achieving standard gas is obtained based on the electromagnetic particle wave of the gas sample, gas detection can be carried out through the electromagnetic particle wave parameters in the electromagnetic particle wave parameter set, and a foundation is provided for generating the electromagnetic particle wave for gas detection based on multiple electromagnetic particle wave parameters subsequently so as to ensure the accuracy of gas detection.
Further, the step S22 includes the steps of:
s221, constructing an experimental physical scene with the temperature lower than 8.7mK and a quantum well structure;
s222, under an experimental physical scene, testing physical quantities represented by electromagnetic particle wavelets of a gas sample to form an electromagnetic particle wavelet threshold interval representing underground gas;
s223, obtaining a group of electromagnetic particle wave parameter values representing the gas based on the electromagnetic particle wave threshold interval representing the underground gas, and using the electromagnetic particle wave parameter values as a detection electromagnetic particle wave parameter group.
The beneficial effects of adopting the further scheme are as follows: the invention provides an experimental physical scene for acquiring electromagnetic particle wave parameters of a gas sample, wherein the temperature lower than 8.7mK and the quantum well structure can be used for efficiently acquiring an electromagnetic wave threshold interval representing underground gas, so as to obtain a detection electromagnetic particle wave parameter set, and provide a basis for accurately detecting underground gas distribution.
Further, the calculation expression of the electromagnetic particle wave for gas detection in the step S3 is as follows:
wherein,indicating the coherence state of the selected electromagnetic particle wave parameters, < ->Indicating the selected electromagnetic particle wave parameter value, e indicating the exponential basal constant, +.>Represents the mean photon number in the coherent state, n represents the nth photon,/->Representing a Fock state with n photons, where n is a natural number, +.>Is a factorization of n.
The beneficial effects of adopting the further scheme are as follows: the invention provides a calculation method of gas detection electromagnetic particle wave, which comprises the steps of generating electromagnetic particle wave with gas quantum physical state according to selected electromagnetic particle wave parameter values through gas detection equipment, enabling the electromagnetic particle wave with the gas quantum physical state to interact with detected gas when the electromagnetic particle wave is directionally detected downwards, and providing a basis for obtaining characterization physical quantity of a quantum physical field generated after interaction to determine a gas enrichment region.
Further, the step S4 includes the following steps:
s41, transmitting gas detection electromagnetic particle waves to a unit detection area;
s42, transmitting the quantum physical state of the gas detection electromagnetic particle wave to the substance in the unit detection area, and continuously changing the physical field state of the substance in the unit detection area based on the action of the quantum physical field;
s43, judging whether the physical field state after the change is the same as the quantum physical state of the electromagnetic particle wave detected by the gas, if so, entering S45, otherwise, entering S44;
s44, reselecting and selecting one electromagnetic particle wave parameter value except the currently selected electromagnetic particle wave parameter value in the electromagnetic wave parameter set, obtaining a gas detection electromagnetic particle wave corresponding to the reselected electromagnetic particle wave parameter value by adopting the same method in S3, and returning to S41, wherein the detection area S44 is executed for 4 times at most for the same unit, and the gas detection electromagnetic particle wave directly enters S5 after being executed for more than 4 times;
s45, based on a detection optimal power model, acquiring a characterization physical quantity of a quantum physical field generated after interaction of substances in a unit detection area and gas detection electromagnetic particle waves by using gas detection equipment;
s46, converting the gas detection physical quantity into an electric signal, and taking the electric signal as the gas detection physical quantity.
The beneficial effects of adopting the further scheme are as follows: the invention provides a gas detection electromagnetic particle wave for detecting underground gas, which determines whether underground gas exists or not through the consistency of the physical state of a substance in a unit detection area and the quantum physical state of the gas detection electromagnetic particle wave, and efficiently and controllably acquires the characterization physical quantity of a quantum physical field generated after interaction based on a detection optimal power model, thereby providing a basis for judging whether the unit detection area belongs to a gas enrichment area.
The physical quantity characterizing the quantum physical field produced by the interaction.
Further, the step S41 is specifically to directionally emit the electromagnetic particle wave for gas detection to the unit detection area through the convergence device by using the gas detection equipment.
The beneficial effects of adopting the further scheme are as follows: according to the invention, the convergence device enables the gas detection equipment to emit gas detection electromagnetic particle waves, so that centralized and stable detection in a unit detection area is effectively ensured, and a foundation is provided for accurately detecting and obtaining the boundary of the gas enrichment area.
Further, the computational expression of the detection optimal power model is as follows;
wherein,representing the maximum gas detection physical quantity, +.>Represents the energy of electromagnetic particle wave of gas detection, +.>Indicating the detection gain +.>Representing the effective detection area, +.>Representing the effective quantum scattering cross section, ">Energy attenuation indicative of one-way medium propagation, +.>Representing the transmission energy attenuation of the characteristic physical quantity caused by the gas detection device, < >>Representing the minimum detectable standard physical quantity of the gas detection device,/->Represents the background noise during gas detection, +.>Density operator representing received characterization physical quantity, < ->Representing a detection operator->Represents noise power +.>The noise figure is represented by a coefficient of noise,representing the minimum detectable signal-to-noise ratio.
The beneficial effects of adopting the further scheme are as follows: the calculation method for the detection optimal power model fully considers the influence caused by background noise through the detection optimal power model, and ensures that gas detection equipment operates at low power under the condition of meeting detection requirements based on the consideration of effective detection area, effective quantum scattering cross section and energy attenuation, thereby saving detection cost and simultaneously ensuring the stability of gas detection.
Further, the step S6 includes the steps of:
s61, acquiring the space positions of interaction between the electromagnetic particle wave for gas detection and different depths of a unit detection area, and forming a corresponding unit longitudinal gas enrichment space area;
s62, in the area to be detected by the gas, respectively extending and arranging new unit detection areas around the unit detection areas corresponding to the physical quantity of gas detection;
s63, respectively recording a unit longitudinal gas enrichment space region corresponding to the new unit detection region when the gas detection physical quantity corresponding to the new unit detection region is larger than a preset gas enrichment threshold value;
s64, carrying out detection space modeling based on each unit of longitudinal gas enrichment space area to obtain a gas enrichment area model.
The beneficial effects of adopting the further scheme are as follows: according to the invention, the unit longitudinal gas enrichment space area is detected in the gas detection area, then the new unit detection areas are arranged around the unit longitudinal gas enrichment space area to detect the quantity particles with different depths, so that the detection efficiency of the gas enrichment area is effectively improved, and finally the unit longitudinal gas enrichment space area in the whole gas detection area is spliced and spatially modeled, so that the gas enrichment area in the gas detection area can be obtained quickly and accurately.
Further, in the underground gas detection engineering, at least three different electromagnetic particle wave parameter values are selected from the electromagnetic particle wave parameter detection sets to generate corresponding gas detection electromagnetic particle waves, and the unit longitudinal gas enrichment space region is a union set of space positions where the gas detection electromagnetic particle waves corresponding to the electromagnetic particle wave parameter values interact with the unit detection region.
The beneficial effects of adopting the further scheme are as follows: according to the invention, at least three different electromagnetic particle wave parameter values are selected from the electromagnetic particle wave parameter detection groups so as to generate corresponding gas detection electromagnetic particle waves, so that the sufficiency and accuracy of underground gas detection are effectively ensured, no missing detection is ensured, and the boundary of the maximum gas enrichment area can be accurately detected.
Other advantages that are also present with respect to the present invention will be more detailed in the following examples.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart showing steps of a gas enrichment zone detection method based on quantitative particles in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention.
As shown in fig. 1, in one embodiment of the present invention, the present invention provides a gas enrichment zone detection method based on quantitative particles, comprising the steps of:
s1, acquiring a gas sample, and determining a gas detection area to be detected;
s2, selecting an electromagnetic particle wave parameter value based on a gas sample, and inputting the electromagnetic particle wave parameter value into gas detection equipment;
the step S2 comprises the following steps:
s21, acquiring electromagnetic particle waves of a gas sample;
s22, acquiring a group of electromagnetic particle wave parameter values representing gas based on electromagnetic particle waves of a gas sample, and taking the electromagnetic particle wave parameter values as a detection electromagnetic particle wave parameter group;
the step S22 includes the steps of:
s221, constructing an experimental physical scene with the temperature lower than 8.7mK and a quantum well structure;
s222, under an experimental physical scene, testing physical quantities represented by electromagnetic particle wavelets of a gas sample to form an electromagnetic particle wavelet threshold interval representing underground gas;
s223, obtaining a group of electromagnetic particle wave parameter values representing the gas based on the electromagnetic particle wave threshold interval representing the underground gas, and using the electromagnetic particle wave parameter values as a detection electromagnetic particle wave parameter group.
The electromagnetic particle wave parameter values in the electromagnetic particle wave parameter set can also be electromagnetic particle wave parameter values obtained by passing electromagnetic particle waves of methane, ethane, butane, propane and hydrogen sulfide through S221-S223.
The electromagnetic particle wave parameter detection set comprises a plurality of electromagnetic particle wave parameter values which are continuous in a certain range, and each electromagnetic particle wave parameter value can generate electromagnetic particle waves with gas quantum physical states after being input into gas detection equipment.
S23, randomly selecting one electromagnetic particle wave parameter value in the electromagnetic wave parameter group, and inputting the electromagnetic particle wave parameter value into the gas detection equipment.
S3, driving the gas detection equipment to generate electromagnetic particle waves with physical states of gas quanta according to the selected electromagnetic particle wave parameter values, and using the electromagnetic particle waves as gas detection electromagnetic particle waves;
the calculation expression of the electromagnetic particle wave for gas detection in the S3 is as follows:
wherein,indicating the coherence state of the selected electromagnetic particle wave parameters, < ->Indicating the selected electromagnetic particle wave parameter value, e indicating the exponential basal constant, +.>Represents the mean photon number in the coherent state, n represents the nth photon,/->Representing a Fock state with n photons, where n is a natural number, +.>Is a factorization of n.
In this embodiment, the gas detection device may be mounted on an unmanned aerial vehicle to perform gas detection based on the amount of particles.
If the selected electromagnetic particle wave parameter value cannot meet the requirement that the interaction between the gas detection electromagnetic particle wave and the unit detection area occurs, one electromagnetic particle wave parameter value in the electromagnetic wave parameter set except the currently selected electromagnetic particle wave parameter value is selected at will, and the method enters S3.
S4, transmitting gas detection electromagnetic particle waves to a unit detection area in the area to be detected by gas, and acquiring the characterization physical quantity of the quantum physical field generated after interaction by using gas detection equipment based on a detection optimal power model to obtain the gas detection physical quantity;
the step S4 comprises the following steps:
s41, transmitting gas detection electromagnetic particle waves to a unit detection area;
in this embodiment, S41 is specifically configured to directionally emit the electromagnetic particle wave for gas detection to the unit detection area through the convergence device by using the gas detection apparatus.
S42, transmitting the quantum physical state of the gas detection electromagnetic particle wave to the substance in the unit detection area, and continuously changing the physical field state of the substance in the unit detection area based on the action of the quantum physical field;
s43, judging whether the physical field state after the change is the same as the quantum physical state of the electromagnetic particle wave detected by the gas, if so, entering S45, otherwise, entering S44;
s44, reselecting and selecting one electromagnetic particle wave parameter value except the currently selected electromagnetic particle wave parameter value in the electromagnetic wave parameter set, obtaining a gas detection electromagnetic particle wave corresponding to the reselected electromagnetic particle wave parameter value by adopting the same method in S3, and returning to S41, wherein the detection area S44 is executed for 4 times at most for the same unit, and the gas detection electromagnetic particle wave directly enters S5 after being executed for more than 4 times;
s45, based on a detection optimal power model, acquiring a characterization physical quantity of a quantum physical field generated after interaction of substances in a unit detection area and gas detection electromagnetic particle waves by using gas detection equipment;
the calculation expression of the optimal power detection model is as follows;
wherein,representing the maximum gas detection physical quantity, +.>Represents the energy of electromagnetic particle wave of gas detection, +.>Indicating the detection gain +.>Representing the effective detection area, +.>Representing the effective quantum scattering cross section, ">Energy attenuation indicative of one-way medium propagation, +.>Representing the transmission energy attenuation of the characteristic physical quantity caused by the gas detection device, < >>Representing the minimum detectable standard physical quantity of the gas detection device,/->Represents the background noise during gas detection, +.>Density operator representing received characterization physical quantity, < ->Representing a detection operator->Represents noise power +.>The noise figure is represented by a coefficient of noise,representing the minimum detectable signal-to-noise ratio.
S46, converting the gas detection physical quantity into an electric signal, and taking the electric signal as the gas detection physical quantity.
S5, judging whether the gas detection physical quantity is larger than a preset gas enrichment threshold, if so, entering S6, otherwise, resetting a unit detection area, and returning to S4;
s6, based on a unit detection area corresponding to the gas detection physical quantity, recording the space position of interaction between the electromagnetic particle wave for gas detection and the unit detection area, and obtaining a gas enrichment area.
The step S6 comprises the following steps:
s61, acquiring the space positions of interaction between the electromagnetic particle wave for gas detection and different depths of a unit detection area, and forming a corresponding unit longitudinal gas enrichment space area;
s62, in the area to be detected by the gas, respectively extending and arranging new unit detection areas around the unit detection areas corresponding to the physical quantity of gas detection;
s63, respectively recording a unit longitudinal gas enrichment space region corresponding to the new unit detection region when the gas detection physical quantity corresponding to the new unit detection region is larger than a preset gas enrichment threshold value;
s64, carrying out detection space modeling based on each unit of longitudinal gas enrichment space area to obtain a gas enrichment area model.
In the underground gas detection engineering, at least three different electromagnetic particle wave parameter values are selected from the electromagnetic particle wave parameter detection sets so as to generate corresponding gas detection electromagnetic particle waves, and the unit longitudinal gas enrichment space area is a union set of the space positions of interaction between the gas detection electromagnetic particle waves corresponding to the electromagnetic particle wave parameter values and the unit detection area.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention.
Claims (8)
1. The gas enrichment area detection method based on the quantitative particles is characterized by comprising the following steps of:
s1, acquiring a gas sample, and determining a gas area to be detected;
s2, selecting an electromagnetic particle wave parameter value based on a gas sample, and inputting the electromagnetic particle wave parameter value into gas detection equipment;
s3, driving the gas detection equipment to generate electromagnetic particle waves with physical states of gas quanta according to the selected electromagnetic particle wave parameter values, and using the electromagnetic particle waves as gas detection electromagnetic particle waves;
s4, transmitting gas detection electromagnetic particle waves to a unit detection area in the gas to-be-detected area, and acquiring the characterization physical quantity of the quantum physical field generated after interaction by using gas detection equipment based on a detection optimal power model to obtain the gas detection physical quantity;
the calculation expression of the optimal power detection model is as follows;
wherein,representing the maximum gas detection physical quantity, +.>Represents the energy of electromagnetic particle wave of gas detection, +.>Indicating the detection gain +.>Representing the effective detection area, +.>Representing the effective quantum scattering cross section, ">Energy attenuation indicative of one-way medium propagation, +.>Representing the transmission energy attenuation of the characteristic physical quantity caused by the gas detection device, < >>Representing the minimum detectable standard physical quantity of the gas detection device,/->Represents the background noise during gas detection, +.>Density operator representing received characterization physical quantity, < ->Representing a detection operator->Represents noise power +.>Representing noise figure>Representing a minimum detectable signal to noise ratio;
s5, judging whether the gas detection physical quantity is larger than a preset gas enrichment threshold, if so, entering S6, otherwise, resetting a unit detection area, and returning to S4;
s6, based on a unit detection area corresponding to the gas detection physical quantity, recording the space position of interaction between the electromagnetic particle wave for gas detection and the unit detection area, and obtaining a gas enrichment area.
2. The quantitative particle-based gas enrichment zone detection method according to claim 1, wherein the S2 comprises the steps of:
s21, acquiring electromagnetic particle waves of a gas sample;
s22, acquiring a group of electromagnetic particle wave parameter values representing gas based on electromagnetic particle waves of a gas sample, and taking the electromagnetic particle wave parameter values as a detection electromagnetic particle wave parameter group;
s23, randomly selecting one electromagnetic particle wave parameter value in the electromagnetic particle wave parameter set, and inputting the electromagnetic particle wave parameter value into the gas detection equipment.
3. The method for detecting a gas enrichment zone based on quantitative particles according to claim 2, wherein S22 comprises the steps of:
s221, constructing an experimental physical scene with the temperature lower than 8.7mK and a quantum well structure;
s222, under an experimental physical scene, testing physical quantities represented by electromagnetic particle wavelets of a gas sample to form an electromagnetic particle wavelet threshold interval representing underground gas;
s223, obtaining a group of electromagnetic particle wave parameter values representing the gas based on the electromagnetic particle wave threshold interval representing the underground gas, and using the electromagnetic particle wave parameter values as a detection electromagnetic particle wave parameter group.
4. The gas enrichment zone detection method based on quantitative particles according to claim 1, wherein the calculation expression of the electromagnetic particle wave for gas detection in S3 is as follows:
wherein,indicating the coherence state of the selected electromagnetic particle wave parameters, < ->Indicating that the electromagnetic particle wave parameter value is selected,eindicating exponential basal constant, +.>Represents the average photon number in the coherent state,nrepresent the firstnIndividual photons,/->The representation hasnThe fock state of the individual photons, wherein,nis natural number (i.e.)>Is thatnIs a factorial of (c).
5. The method for detecting a gas enrichment zone based on quantitative particles according to claim 3, wherein the step S4 comprises the steps of:
s41, transmitting gas detection electromagnetic particle waves to a unit detection area;
s42, transmitting the quantum physical state of the gas detection electromagnetic particle wave to the substance in the unit detection area, and continuously changing the physical field state of the substance in the unit detection area based on the action of the quantum physical field;
s43, judging whether the physical field state after the change is the same as the quantum physical state of the electromagnetic particle wave detected by the gas, if so, entering S45, otherwise, entering S44;
s44, reselecting one electromagnetic particle wave parameter value except the currently selected electromagnetic particle wave parameter value in the electromagnetic particle wave parameter set, obtaining a gas detection electromagnetic particle wave corresponding to the reselected electromagnetic particle wave parameter value by adopting the same method in S3, and returning to S41, wherein the detection area S44 is executed for 4 times at most for the same unit, and the gas detection electromagnetic particle wave directly enters S5 after being executed for more than 4 times;
s45, based on a detection optimal power model, acquiring a characterization physical quantity of a quantum physical field generated after interaction of substances in a unit detection area and gas detection electromagnetic particle waves by using gas detection equipment;
s46, converting the gas detection physical quantity into an electric signal, and taking the electric signal as the gas detection physical quantity.
6. The method for detecting a gas enrichment zone based on quantitative particles according to claim 5, wherein the step S41 is specifically to directionally emit gas detection electromagnetic particle waves to a unit detection zone through a converging device by using a gas detection device.
7. The quantitative particle-based gas enrichment zone detection method according to claim 1, wherein S6 comprises the steps of:
s61, acquiring the space positions of interaction between the electromagnetic particle wave for gas detection and different depths of a unit detection area, and forming a corresponding unit longitudinal gas enrichment space area;
s62, in the gas to-be-detected area, respectively extending and arranging new unit detection areas around the unit detection areas corresponding to the gas detection physical quantity;
s63, when the gas detection physical quantity corresponding to the new unit detection area is larger than a preset gas enrichment threshold, recording the unit longitudinal gas enrichment space area corresponding to the new unit detection area respectively;
s64, carrying out detection space modeling based on each unit of longitudinal gas enrichment space area to obtain a gas enrichment area model.
8. The method according to claim 7, wherein in the underground gas detection process, at least three different electromagnetic particle wave parameter values are selected from the electromagnetic particle wave parameter sets to generate corresponding electromagnetic particle wave for gas detection, and the unit longitudinal gas enrichment spatial region is a union of spatial positions of interaction between the electromagnetic particle wave for gas detection corresponding to each electromagnetic particle wave parameter value and the unit detection region.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410132952.2A CN117665950B (en) | 2024-01-31 | 2024-01-31 | Gas enrichment area detection method based on quantitative particles |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410132952.2A CN117665950B (en) | 2024-01-31 | 2024-01-31 | Gas enrichment area detection method based on quantitative particles |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117665950A CN117665950A (en) | 2024-03-08 |
CN117665950B true CN117665950B (en) | 2024-04-02 |
Family
ID=90064516
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410132952.2A Active CN117665950B (en) | 2024-01-31 | 2024-01-31 | Gas enrichment area detection method based on quantitative particles |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117665950B (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108780042A (en) * | 2016-01-13 | 2018-11-09 | 尼克根合伙Ip有限责任公司 | System and method for multi-parameter spectrum |
CN109173531A (en) * | 2018-09-29 | 2019-01-11 | 标胜环球(天津)实业有限公司 | Quantum dissociates methane gas cleaner |
CN109490215A (en) * | 2019-01-03 | 2019-03-19 | 江苏舒茨测控设备股份有限公司 | Utilize the system and method for photocaustic spectroscopy detection methyl bromide gas concentration |
CN111615402A (en) * | 2017-11-30 | 2020-09-01 | 纳米细菌公司 | Nanoparticles for medical or cosmetic applications sequentially exposed to low intensity sound waves |
CN112525201A (en) * | 2020-12-09 | 2021-03-19 | 武汉第二船舶设计研究所(中国船舶重工集团公司第七一九研究所) | Underwater target tracking method based on electromagnetic field characteristic multi-information fusion |
WO2022051562A1 (en) * | 2020-09-03 | 2022-03-10 | Nxgen Partners Ip, Llc | A miniaturized device to sterilize surfaces from covid-19 and other viruses and bacteria |
CN114382468A (en) * | 2022-01-20 | 2022-04-22 | 平顶山天安煤业股份有限公司 | Pressure-maintaining nuclear magnetism monitoring method for coal bed gas reservoir conditions |
CN116520451A (en) * | 2023-04-24 | 2023-08-01 | 四川阳光上元能源技术有限公司 | Underground goaf detection method based on quantum detection technology |
CN116577705A (en) * | 2023-04-15 | 2023-08-11 | 哈尔滨理工大学 | MNF magnetic field testing method and device based on NSiV double-color center |
CN117406287A (en) * | 2023-10-16 | 2024-01-16 | 中国矿业大学 | Nuclear magnetic resonance-based gas enrichment area detection method and system |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080260225A1 (en) * | 2004-10-06 | 2008-10-23 | Harold Szu | Infrared Multi-Spectral Camera and Process of Using Infrared Multi-Spectral Camera |
EA022413B1 (en) * | 2008-05-20 | 2015-12-30 | Оксан Материалз, Инк. | Method of use of a functional proppant for determination of subterranean fracture geometries |
US9575001B2 (en) * | 2014-07-24 | 2017-02-21 | Nxgen Partners Ip, Llc | System and method for detection of materials using orbital angular momentum signatures |
-
2024
- 2024-01-31 CN CN202410132952.2A patent/CN117665950B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108780042A (en) * | 2016-01-13 | 2018-11-09 | 尼克根合伙Ip有限责任公司 | System and method for multi-parameter spectrum |
CN111615402A (en) * | 2017-11-30 | 2020-09-01 | 纳米细菌公司 | Nanoparticles for medical or cosmetic applications sequentially exposed to low intensity sound waves |
CN109173531A (en) * | 2018-09-29 | 2019-01-11 | 标胜环球(天津)实业有限公司 | Quantum dissociates methane gas cleaner |
CN109490215A (en) * | 2019-01-03 | 2019-03-19 | 江苏舒茨测控设备股份有限公司 | Utilize the system and method for photocaustic spectroscopy detection methyl bromide gas concentration |
WO2022051562A1 (en) * | 2020-09-03 | 2022-03-10 | Nxgen Partners Ip, Llc | A miniaturized device to sterilize surfaces from covid-19 and other viruses and bacteria |
CN112525201A (en) * | 2020-12-09 | 2021-03-19 | 武汉第二船舶设计研究所(中国船舶重工集团公司第七一九研究所) | Underwater target tracking method based on electromagnetic field characteristic multi-information fusion |
CN114382468A (en) * | 2022-01-20 | 2022-04-22 | 平顶山天安煤业股份有限公司 | Pressure-maintaining nuclear magnetism monitoring method for coal bed gas reservoir conditions |
CN116577705A (en) * | 2023-04-15 | 2023-08-11 | 哈尔滨理工大学 | MNF magnetic field testing method and device based on NSiV double-color center |
CN116520451A (en) * | 2023-04-24 | 2023-08-01 | 四川阳光上元能源技术有限公司 | Underground goaf detection method based on quantum detection technology |
CN117406287A (en) * | 2023-10-16 | 2024-01-16 | 中国矿业大学 | Nuclear magnetic resonance-based gas enrichment area detection method and system |
Non-Patent Citations (2)
Title |
---|
煤与瓦斯突出灾害隐患高分辨三维地震预测方法;彭苏萍;卢勇旭;;煤矿安全;20201020(第10期);全文 * |
碳纳米管的力学;Wagner Gregory J, Liu Wing Kam, Ruoff Rodney S, 徐志平, 王立峰, 郑泉水;力学进展;20040225(第01期);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN117665950A (en) | 2024-03-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110109895B (en) | Surrounding rock grading combined prediction method suitable for TBM tunneling tunnel and application | |
Williams et al. | Top-down reservoir modelling | |
Arroyo-Negrete et al. | Streamline-assisted ensemble Kalman filter for rapid and continuous reservoir model updating | |
US20080319674A1 (en) | Multi-attribute seismic characterization of gas hydrates | |
Bu et al. | Acoustic characteristics and micro-distribution prediction during hydrate dissociation in sediments from the South China Sea | |
Koch et al. | Challenges in conditioning a stochastic geological model of a heterogeneous glacial aquifer to a comprehensive soft data set | |
CN104453874A (en) | Glutenite reservoir oil saturation calculation method based on nuclear magnetic resonance | |
CN116305850B (en) | Stratum thermal conductivity prediction method based on random forest model | |
CN117665950B (en) | Gas enrichment area detection method based on quantitative particles | |
Zhao et al. | A mathematical method to identify and forecast coal texture of multiple and thin coal seams by using logging data in the Panguan syncline, western Guizhou, China | |
Cao et al. | Research on comprehensive detection and visualize of hidden cavity goaf | |
Nagao et al. | An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements | |
CN113137226A (en) | Portable rock-soil body mechanics parameter drilling test system and device | |
Song et al. | Classifying the surrounding rock of tunnel face using machine learning | |
CN110529106B (en) | Method for determining content of coal seam micro-components by using logging information | |
CN108412488B (en) | Logging method for rapidly determining organic porosity of shale gas reservoir | |
Hamada et al. | Hybrid Artificial Intelligent Approach for Determination of Water Saturation using Archie's Formula in Carbonate Reservoirs | |
Antoniuk et al. | Multiple regressions and ann techniques to predict permeability from pore structure for terrigenous reservoirs, west-shebelynska area | |
CN113391359B (en) | Real-time detection electric advanced geological prediction system and method | |
Dawrea | Using ground penetrating radar to estimate the concentration of non-aqueous phase liquids in unsaturated soil | |
Pang | Evaluation of the Global Potential Resource of the Natural Gas Hydrate | |
Li et al. | Accurate Prediction of the Macrolithotype of a High-Rank Coal Reservoir by Logging Interpretation: A Case Study of the Junlian Block, Sichuan Province, China | |
CN113960665B (en) | Method and device for predicting total organic carbon content of shale reservoir | |
CN212364603U (en) | Tunnel unfavorable geologic body advanced geological forecast detection simulation device | |
Qi et al. | Prediction of interface of geological formations using generalized additive model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |