WO2024082762A1 - Procédé de mesure de volume d'air basé sur une analyse de mégadonnées - Google Patents

Procédé de mesure de volume d'air basé sur une analyse de mégadonnées Download PDF

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Publication number
WO2024082762A1
WO2024082762A1 PCT/CN2023/110052 CN2023110052W WO2024082762A1 WO 2024082762 A1 WO2024082762 A1 WO 2024082762A1 CN 2023110052 W CN2023110052 W CN 2023110052W WO 2024082762 A1 WO2024082762 A1 WO 2024082762A1
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Prior art keywords
air volume
air
wind
duct
dynamic
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PCT/CN2023/110052
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English (en)
Chinese (zh)
Inventor
蔡宽平
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西安京兆电力科技有限公司
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Publication of WO2024082762A1 publication Critical patent/WO2024082762A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
    • G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
    • G01F1/05—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects
    • G01F1/34—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects by measuring pressure or differential pressure
    • G01F1/36—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects by measuring pressure or differential pressure the pressure or differential pressure being created by the use of flow constriction

Definitions

  • the present invention belongs to the technical field of air volume measurement and relates to an air volume measurement method, and in particular to an air volume measurement method based on big data analysis.
  • the boiler air inlet duct in the coal-fired power generation unit is equipped with an adjustable damper, a supporting structure, an elbow, a baffle, and even a variable diameter section.
  • the above factors result in no section in the boiler air inlet duct having a uniform wind field, and all of them are non-uniform wind field ducts, which cannot meet the requirements of the air volume measurement device for the front and rear straight pipe sections.
  • the average velocity tube air volume measurement device is mainly composed of an air volume flowmeter improved based on the principle of pitot tube velocity measurement, that is, multiple pairs of sampling holes (more than two pairs of holes) are evenly arranged on the straight pipe section of the air volume flowmeter along its length direction, respectively, to measure the total positive pressure and total negative pressure of the fluid, and then the average differential pressure is measured by equalizing the pressure in the straight pipe section of the air volume flowmeter to calculate the flow rate of the fluid.
  • Average velocity tube air volume flowmeters include Willabar, Annubar, Deltabar, Wilba, Superbar, etc.
  • the average velocity tube air volume flowmeter has a simple structure, is easy to assemble and disassemble, and has a small pressure loss.
  • the air volume measuring device based on the Venturi tube air volume flowmeter uses the fact that when gas flows through the air volume flowmeter, it first changes from coarse to fine to speed up the gas flow rate, and then forms a "vacuum" area at the rear of the throat which changes from fine to coarse.
  • a negative pressure sampling hole is provided in the vacuum area, and a differential pressure is formed between the sampling hole and the inlet sampling hole to measure the air volume.
  • the advantages of the Venturi tube type air volume flowmeter are large differential pressure, high accuracy and small resistance loss; setting the Venturi tube type air volume flowmeter in the air duct of a uniform wind field can accurately measure the air volume in the air duct, while setting it at a single point in the air duct of a non-uniform wind field to measure the air volume at a single point position cannot guarantee the accuracy of the air volume measurement in the air duct, or setting it at multiple points geometrically uniformly in the air duct of a non-uniform wind field to measure the average differential pressure cannot accurately measure the average air volume value of the cross-sectional air duct in real time, which is determined by the nature of the non-uniform wind field; to a certain extent, the large differential pressure of this single-point or multi-point Venturi air volume flowmeter may turn into a disadvantage in a non-uniform wind field, amplifying the error effect; Venturi tube type air volume flowmeters such as single-throat diameter tubes, double-throat diameter tubes, multi-throat diameter tubes
  • the wing air volume measurement device mainly places one or more wing-shaped throttling parts with a flow cross-sectional area smaller than the cross-sectional area of the air duct in the wind field, and uses the pressure difference generated before and after the fluid flows through the wing-shaped throttling parts to measure the air volume in the air duct; the wing air volume measurement system was widely used in early small-power coal-fired power generation units. Its advantage is that the throttling device is prefabricated in the air duct, which has both rectification and measurement functions, and the measurement of the air volume in the air duct is relatively accurate, but its disadvantages are that it is large in size, large throttling loss, complex structure, difficult installation, and easy to clog.
  • the multi-point insertion air volume flowmeter in the air volume measurement device mainly uses upper and lower inclined backrest tubes (inserted with steel wire to prevent blockage) to adopt multi-point geometric average distribution on the air duct section, and each branch pipe establishes a differential pressure respectively, and then the branch pipes are connected to equalize the pressure, and finally led to the main pipe; the geometric mean wind speed value, that is, the actual wind speed value, is obtained after multiple geometric pressure equalizations, but the geometric mean wind speed value is not an approximate actual wind speed value, and the error is particularly large.
  • the present invention also provides a real-time and accurate air volume measurement method based on big data analysis, wherein the control monitoring and analysis unit A uses at least one large data air volume dynamic sensor device in the air duct cross section to perform all-round dynamic point-by-point air volume measurement at preset point intervals within each sampling period; then the measured air volume electrical signal is sent to the control monitoring and analysis unit A through the air volume transmitter; and then the air volume measurement values of all the above-mentioned preset points are accumulated and divided by the above-mentioned preset number of points to obtain the data average wind speed value.
  • the control monitoring and analysis unit A uses at least one large data air volume dynamic sensor device in the air duct cross section to perform all-round dynamic point-by-point air volume measurement at preset point intervals within each sampling period; then the measured air volume electrical signal is sent to the control monitoring and analysis unit A through the air volume transmitter; and then the air volume measurement values of all the above-mentioned preset points are accumulated and divided by the above-mentioned preset number
  • the big data air volume dynamic sensing device includes an active sensing part and a driven air volume sensing part, and an active sensing part driving part, wherein the active sensing part driving part includes a transmission part for transmitting the active sensing part and a driving part thereof; the driven air volume sensing part includes a dynamic air volume sensor and a rotating part for moving the dynamic air volume sensor back and forth on the active sensing part; or the driven air volume sensing part includes a plurality of air volume flow meters evenly distributed on the active sensing part.
  • the big data air volume dynamic sensing device is a big data air volume dynamic longitude and latitude sensing device or a big data air volume dynamic axial and radial sensing device.
  • the big data air volume dynamic longitude and latitude sensing device includes a longitude sensing active part and its latitude driven air volume sensing part, a longitude sensing active part driving part, and the longitude sensing active part driving part includes a vertical transmission part and a vertical driving part for transmitting the longitude sensing active part in the longitude direction.
  • the latitudinal driven air volume sensor portion includes a latitudinal dynamic air volume sensor and a lateral rotating portion that moves the latitudinal dynamic air volume sensor back and forth laterally in the air duct on the longitudinal sensing active portion.
  • the latitudinal dynamic air volume sensor includes a slider and an air volume flow meter fixed thereon.
  • the latitudinal driven air volume sensing portion includes a plurality of air volume flow meters evenly distributed on the longitudinal active sensing portion.
  • the number of the air volume transmitters is the same as that of the air volume flowmeter, and they are connected with respective sampling tubes, or the air volume flowmeter is connected with an air volume transmitter through positive and negative equalizing pressure tubes, and the preset number of points is the number of measuring points of the active part of the longitudinal sensor moving in the longitudinal direction.
  • the air volume flow meter is at least one of a Pitot tube air volume flow meter and a Venturi type air volume flow meter.
  • the Venturi type air volume flow meter is at least one of a single-throat diameter tube air volume flow meter, a double-throat diameter tube air volume flow meter and a multi-throat diameter tube air volume flow meter.
  • the warp sensing active part includes a transverse part and a vertical part, the cross-section of the transverse part body is an inverted C-shaped structure, the vertical part body is a long closed shell, and the transverse part body and the vertical part body are welded together to form an inverted T-shaped structure;
  • the transverse rotating part includes left and right transverse fixed pulleys respectively arranged at both ends of the transverse part body and partially exposed on the top surface of the transverse part body, left and right angular fixed pulleys are respectively arranged on the inner sides of the lower end of the vertical part body, and an upper fixed pulley is arranged on the inner side of the upper end, a transverse rotating steel wire is wound around the left and right transverse fixed pulleys, the left and right angular fixed pulleys and the upper fixed pulley, and a transverse stepping motor drives the upper fixed pulley;
  • the weft dynamic air volume sensor is fixed to the lower end of the transverse part body and is arranged on the transverse
  • the vertical transmission part includes a vertical transmission part body and upper and lower fixed seats with bearings at the upper and lower ends thereof, and a vertical screw fixed in the bearings of the upper and lower fixed seats; a nut threadedly connected to the vertical screw is also provided at the upper end of the horizontal part body, and the driving part is a vertical stepping motor, which is fixed on the upper end surface of the vertical transmission part body and axially drives the vertical screw.
  • the longitudinal sensing active part includes a transverse part and a vertical part, the cross-section of the transverse part body is an inverted C-shaped structure, the vertical part body is a long closed shell, the transverse part body and the vertical part body are welded together to form an inverted T-shaped structure; the air volume flowmeter is fixed at the lower end of the transverse part body.
  • the vertical transmission part includes a vertical transmission part body and upper and lower fixed seats with bearings at the upper and lower ends thereof, and a vertical screw fixed in the bearings of the upper and lower fixed seats; a nut threadedly connected to the vertical screw is also provided at the upper end of the horizontal part body, and the driving part is a vertical stepping motor, which is fixed on the upper end surface of the vertical transmission part body and drives the vertical screw axially.
  • the present invention uses a wind volume flowmeter, a dynamic sensing device for measuring big data wind volume, in a non-uniform wind field wind duct cross section. Preset points are evenly distributed in all directions in the wind duct cross section and big data wind volume measurement is performed on each preset point to obtain the average wind speed value of the wind duct data. In this way, the average wind speed value of the wind duct cross section data is used to represent the actual cross section wind speed, which solves the problem of inaccurate measurement of duct air volume by the geometric average wind speed value of the wind volume measurement device in the prior art.
  • the technical solution of the present invention is applied to the coal-fired boiler of a coal-fired power generation unit to more accurately reach or approach its optimal air-coal ratio, which greatly improves the safety and combustion efficiency of the coal-fired boiler, saves energy and protects the environment, and at the same time improves the flexible power generation of the coal-fired power generation unit, with obvious economic benefits, thereby improving the stable operation of the entire power grid.
  • Figure 1 is a schematic diagram of the front structure of a big data wind volume measurement dynamic longitude and latitude sensor device provided in Example 1, which is arranged in a rectangular air duct;
  • FIG2 is a schematic diagram of a side cross-sectional structure of the dynamic longitude and latitude sensing device for measuring large data air volume in FIG1 arranged in the rectangular air duct in the direction A-A;
  • FIG. 3 is a schematic diagram of the plan layout of a hot air duct entering a ball mill in a simulated 300MW coal-fired power generation unit, providing an air volume measurement system based on big data analysis based on Example 1;
  • FIG4 is a schematic diagram of the vertical layout of the primary hot air duct entering the ball mill in FIG3 in the direction of B-B;
  • FIG5a is a 3D wind speed measurement curve diagram of the air volume measurement system when the load value of the simulated air duct section in FIG3 is 33%;
  • FIG5 b is a 3D wind speed measurement curve diagram of the air volume measurement system when the load value of the simulated air duct section in FIG3 is 41.7%;
  • FIG5c is a 3D wind speed measurement curve diagram of the air volume measurement system when the load value of the simulated air duct section in FIG3 is 58.3%;
  • FIG5d is a 3D wind speed measurement curve diagram of the air volume measurement system when the load value of the simulated air duct section in FIG3 is 70%;
  • FIG5e is a 3D wind speed measurement curve diagram of the air volume measurement system when the load value of the simulated air duct section in FIG3 is 87.6%;
  • FIG5f is a 3D wind speed measurement curve diagram of the air volume measurement system when the load value of the simulated air duct section in FIG3 is 100%;
  • FIG6 is a 3D curve diagram of selected data average wind speed value points when the error of the set data average wind speed value of the wind volume measurement system based on big data analysis of the simulated air duct section in FIG3 is 6/4500;
  • FIG. 7 is a schematic diagram of a flow chart of a method for measuring air volume based on big data analysis provided by the present invention.
  • FIG. 8 is a schematic flow chart of a method for determining the data average wind speed value point of a wind volume measurement system based on big data analysis provided by the present invention
  • FIG. 9 is a flow chart of a correction method for combining an air volume measurement system based on big data analysis and an air volume measurement system in which an air volume flow meter is set at a data average wind speed value point according to the present invention
  • Example 10 is a schematic diagram of the front structure of a dynamic axial radial sensing device for measuring large data air volume provided in Example 2, which is arranged in a circular air duct;
  • Figure 11 is a schematic diagram of the side section structure in the C-C direction of the dynamic axial radial sensor device for measuring large data air volume in Figure 10, which is arranged in a circular air duct.
  • big data wind volume dynamic sensor device a sensor device that can measure the wind speed of several points evenly or substantially evenly distributed in the cross section perpendicular to the gas flow direction in a non-uniform wind field wind duct, thereby comprehensively measuring the wind duct wind speed and determining the average wind speed value of the non-uniform wind field wind duct data or/and the point position of the average wind speed value through big data analysis.
  • big data wind volume dynamic longitude and latitude sensor device and big data wind volume dynamic axial radial sensor device.
  • the big data air volume dynamic sensing device includes an active sensing part and a driven air volume sensing part, and an active sensing part driving part.
  • the active sensing part driving part includes a transmission part for driving the active sensing part and a driving part thereof (sampling in the longitudinal or axial direction).
  • the driven air volume sensing part includes a dynamic air volume sensor and a rotating part for moving the dynamic air volume sensor back and forth on the active sensing part (sampling in the latitudinal or radial direction); or the driven air volume sensing part includes a plurality of air volume flow meters evenly distributed on the active sensing part (sampling in the latitudinal or radial direction).
  • the big data wind volume dynamic sensing device is arranged in the cross section of the wind duct in the non-uniform wind field, connected with the air volume transmitter, and together with the control, monitoring and analysis unit A that controls and monitors them, constitutes an air volume measurement system based on big data analysis.
  • the control monitoring and analysis unit A controls the big data air volume dynamic sensing device to measure the wind speed of several points evenly or substantially evenly distributed in the cross section vertical to the gas flow direction under a specific load value of a certain air duct, thereby measuring the wind speed of the air duct in all directions and obtaining the average wind speed value or determining the corresponding points.
  • a large data air volume dynamic longitude and latitude sensor device provided by the present invention is arranged in a rectangular air duct.
  • the large data air volume dynamic sensor device is a large data air volume dynamic longitude and latitude sensor device;
  • the large data air volume dynamic longitude and latitude sensor device is arranged in a certain cross section of the rectangular air duct 1, and includes a warp sensing active part 3 and its weft driven air volume sensor part 4, a warp sensing active part driving part 2,
  • the warp sensing active part driving part 2 includes a vertical transmission part 2-1 and a vertical driving part 2-2 for warp driving the warp sensing active part;
  • the weft driven air volume sensor part 4 includes a weft dynamic air volume sensor 4-1 and a lateral rotating part 4-2 for moving the weft dynamic air volume sensor 4-1 back and forth in the air duct horizontally (X-axis direction, i.e., weft direction) on the warp sensing active part.
  • the longitudinal sensing active part 3 includes a transverse part 3-1 and a vertical part 3-2.
  • the main body of the longitudinal sensing active part 3 is an inverted T-shaped structure in the transverse direction.
  • the cross section of the transverse part main body 3-1-1 is an inverted C-shaped structure, and a transverse track 3-1-2 is arranged on the inner top surface of the C-shaped structure.
  • the vertical part main body 3-2-1 is a long closed shell.
  • the transverse part main body 3-1-1 and the vertical part main body 3-2-1 are welded together to form an inverted T-shaped structure.
  • a nut 3-2-2 is arranged on the upper rear end of the vertical part main body.
  • the transverse rotating part 4-2 includes left and right transverse fixed pulleys 4-2-1 and 4-2-2 respectively provided at both ends of the transverse part body 3-1-1 and partially exposed on the top surface of the transverse part body 3-1-1, and left and right angular fixed pulleys 4-2-3 and 4-2-4 respectively provided on the inner sides of the lower end of the vertical part body 3-2-1, and an upper fixed pulley 4-2-5 provided at the upper end of the vertical part body 3-2-1, and a transverse rotating steel wire 4-2-6 wound around the above-mentioned left and right transverse fixed pulleys, left and right angular fixed pulleys and upper fixed pulley, and a transverse stepping motor 4-2-7 driving the upper fixed pulley.
  • the latitudinal dynamic air volume sensor 4-1 is fixed to the lower end of the transverse portion body and is arranged on the transverse rotating wire 4-2-6; the latitudinal dynamic air volume sensor 4-1 includes a slider 4-1-1 sliding along the transverse track and an air volume flowmeter 4-1-2 fixed thereon and located below the C-shaped structure of the transverse portion body.
  • the vertical transmission part 2-1 includes a vertical transmission part body 2-1-1 and upper and lower fixed seats 2-1-2 and 2-1-3 with bearings at its upper and lower ends, and a vertical screw 2-1-4 fixed in the upper and lower fixed base bearings;
  • the vertical drive part 2-2 is a vertical stepping motor, which is fixed on the upper end face of the transmission part body 2-1-1 and drives the vertical screw 2-1-4 axially.
  • the vertical transmission part body 2-1-1 has a groove-shaped structure in cross section, and the bottom of the groove-shaped structure has a vertical track 2-1-5 (in order to make the nut 3-2-2 slide up and down smoothly in the groove), which is fixed vertically on the outer wall above the rectangular air duct 1 as a whole; in this way, the longitudinal sensing active part 3 is driven by the nut 3-2-2 to move up and down on the vertical screw 2-1-4 as a whole (Y-axis direction, i.e., longitudinal direction).
  • the rectangular duct air volume measurement system formed by the above-mentioned big data air volume dynamic longitude and latitude sensing device also includes an air volume transmitter connected to the air volume flowmeter in the big data air volume dynamic longitude and latitude sensing device and a control, monitoring and analysis unit A for controlling and monitoring the big data air volume dynamic longitude and latitude sensing device.
  • this embodiment provides a flow chart of a method for measuring the air volume of a non-uniform wind field duct based on big data analysis based on the above-mentioned rectangular duct air volume measurement system, and the steps are as follows:
  • the angular displacement of the air flow meter in the latitudinal and longitudinal directions is set in the control monitoring and analysis unit A (i.e., the displacement of the air flow meter in the lateral (X-axis direction, i.e., the latitudinal) and vertical (Y-axis direction, i.e., the longitudinal) directions is set in the control monitoring and analysis unit A, i.e., the preset angular displacement of the lateral stepping motor and the vertical stepping motor is set respectively; the angular displacement of the two directions can be the same or different);
  • the control monitoring and analysis unit A first controls the air volume flowmeter to move from the initial position to a preset angular displacement in the longitudinal direction, and then controls the air volume flowmeter to measure the wind speed values (i.e., differential pressure values) of all preset points in the latitudinal direction one by one, and at the same time sends the measured air volume at the corresponding preset point to the air volume transmitter, and then the air volume transmitter stores its air volume electrical signal in the control monitoring and analysis unit A (i.e., the control monitoring and analysis unit A first controls the vertical stepper motor to move a preset angular displacement, and then controls the horizontal stepper motor to drive the upper fixed pulley to drive the horizontal rotating wire 4-2-6 to rotate a preset angular displacement, thereby driving the air volume flowmeter to measure the wind speed values of all preset points in the horizontal direction one by one, and at the same time sends the measured wind speed value (i.e., differential pressure) at the corresponding preset point to the air volume transmitter, and then the air volume transmitter
  • the control monitoring and analysis unit A controls the vertical stepping motor to move a preset angular displacement, and the step 2 is repeated until the air volume flow meter measures the wind speed values at all preset points in the rectangular air duct in all directions;
  • the control monitoring and analysis unit accumulates the wind speed measurement values of all the above preset points and divides them by the number of preset points in the rectangular air duct to obtain the average wind speed value of the air duct data within the sampling period T, which is the air volume measurement value of the air duct.
  • the wind speed measurement of all preset points in the entire rectangular air duct requires a sampling period T, but the size of this sampling period T is determined by factors such as the speed of the horizontal stepper motor and the vertical stepper motor, the size of the rectangular air duct, the number of preset points in the rectangular air duct, and the wind speed in the rectangular air duct.
  • the shorter the sampling period T the more accurate the average wind speed value of the above-mentioned air duct data.
  • the air duct load value is constant, the average wind speed value of the above-mentioned air duct data has nothing to do with the size of the sampling period T.
  • the preset point intervals are determined by requirements such as the size of the wind duct, the complexity of the wind field and the accuracy of its air volume measurement.
  • this embodiment further provides a method for determining the data average wind speed value point through the wind volume measurement system of the non-uniform wind field wind duct based on the above rectangular wind duct wind volume measurement system, and the steps are as follows:
  • the angular displacement of the air flow meter in the latitudinal and longitudinal directions is set in the control monitoring and analysis unit A (i.e., the displacement of the air flow meter in the lateral (X-axis direction, i.e., the latitudinal) and vertical (Y-axis direction, i.e., the longitudinal) directions is set in the control monitoring and analysis unit A, i.e., the angular displacement of the lateral stepping motor and the vertical stepping motor is set respectively; the angular displacement of the two directions can be the same or different);
  • Control monitoring and analysis unit A collects specific load values of the air duct
  • the control monitoring and analysis unit A first controls the air volume flowmeter to move from the initial position to a preset angular displacement in the longitudinal direction, and then controls the air volume flowmeter to measure the wind speed values (i.e., differential pressure values) of all preset points in the latitudinal direction one by one, and at the same time sends the measured air volume at the corresponding preset point to the air volume transmitter, and then the air volume transmitter stores its air volume electrical signal, its position signal, and the specific load value in the control monitoring and analysis unit A in a one-to-one correspondence (i.e., the control monitoring and analysis unit A first controls the vertical stepper motor to move a preset angular displacement, and then controls the horizontal stepper motor to drive the upper fixed pulley to drive the horizontal rotating wire 4-2-6 to rotate a preset angular displacement, thereby driving the air volume flowmeter to measure the wind speed values (i.e., differential pressure) of all preset points in the horizontal direction one by one, and at the same time sends the measured air volume
  • the control monitoring and analysis unit A controls the air volume flow meter to move in the longitudinal direction by a preset angular displacement, and repeats step 3 until the air volume flow meter measures the wind speed values of all preset points in the rectangular air duct in all directions;
  • step 2 Adjust the duct load values in step 2 one by one (such as 35%, 40%, 50%, 60%, 70%, 80%, 90%, 100%); repeat steps 2, 3, and 4 until the wind speed values of all preset points in the duct under the monitored duct load value (the load value is evenly selected within the allowable range of the duct load value, such as 35%, 40%, 50%, 60%, 70%, 80%, 90%, 100% load) are measured;
  • Control monitoring and analysis unit A to accumulate the wind speed values of all preset points of the monitored wind duct at different load values, and then divide them by the number of preset points to calculate the average wind speed value of the data at each load value, and then gradually increase the error of the set wind duct data average wind speed from zero until at least one common preset point is determined, which is the point of the wind duct data average wind speed value.
  • the wind speed measurement values of the common preset points are all within the range of the sum of the average wind speed value of the data at each load value and the increased error of the set wind duct data average wind speed;
  • the present embodiment also provides an air volume measurement system in which an air volume flowmeter is set based on the data average wind speed value point: an air volume flowmeter is set at each data average wind speed value point determined according to the above method for determining the data average wind speed value point; since the wind speed values measured at the above data average wind speed value points are basically the same, there is almost no air flow between the air volume flowmeters at each data average wind speed value point, and the wind speed values measured by the air volume flowmeters at each data average wind speed value point are equalized by a pressure equalizing tube and then connected to an air volume transmitter, and then connected to the control monitoring and analysis unit A to form an air volume measurement system in which an air volume flowmeter is set based on the data average wind speed value point.
  • the air volume flowmeters at the above data average wind speed value points do not equalize the pressure through a pressure equalizing tube, and can also be connected to an air volume transmitter respectively, so that the air volume measurement system measures the air volume more accurately.
  • the above method can accurately find the specific common points where the average wind speed value of the data is located in the cross section of the air duct, and set air volume flow meters at these points to measure the air volume of the air duct accurately in real time.
  • this embodiment provides a correction system combining the wind volume measurement system based on big data analysis and the wind volume measurement system with wind volume flowmeters set at data average wind speed value points, the correction system includes a large data wind volume dynamic longitude and latitude sensor device set in the wind duct cross section and a wind volume flowmeter set at at least one data average wind speed value point on the wind duct cross section offset therefrom, and wind volume transmitters and control monitoring and analysis units A and B respectively connected to them.
  • the present correction system can also run the wind volume measurement system based on big data analysis and the wind volume measurement system with wind volume flowmeters set at data average wind speed value points at the same time, one for backup and one for use to ensure the reliability and accuracy of the duct air volume measurement.
  • this embodiment provides a correction method that combines a wind volume measurement system based on big data analysis with a wind volume measurement system that sets a wind volume flowmeter based on data average wind speed value points.
  • FIG9 it is a flow chart of a correction method that combines a wind volume measurement system based on big data analysis with a wind volume measurement system that sets a wind volume flowmeter based on data average wind speed value points.
  • the method is to use at least one big data wind volume dynamic longitude and latitude sensor device set in the wind duct cross section to perform all-round dynamic point-by-point wind speed measurement at preset point intervals in each sampling period, and then accumulate the wind speed measurement values of all the above preset points and divide them by the preset number of points to obtain the wind duct data average wind speed value Fdps (for a specific description of the wind volume measurement method, see FIG7 for a flow chart of a wind volume measurement method based on big data analysis for a non-uniform wind field wind duct and its description); at the same time, use at least one data average wind speed value point wind volume flowmeter set in the wind duct cross section to measure the wind volume in real time, and then use the above measured average wind
  • the wind speed measurement values at the speed value points are accumulated and divided by the number of average wind speed value points or the geometric pressure of the data average wind speed value point air volume flowmeter to obtain the average wind speed value Fpps of the duct data average wind speed value point; then the difference
  • a warning signal can also be output to manually or automatically adjust the setting position of the data average wind speed value point air volume flowmeter.
  • the predetermined measurement error value is not greater than 2% (i.e., the secondary accuracy requirement for industrial air volume measurement).
  • this correction method can also allow the air volume measurement system based on big data analysis and the air volume measurement system based on the data average wind speed value point setting air volume flow meter to run simultaneously, verify each other, and ensure the reliability and accuracy of the duct air volume measurement.
  • the rectangular wind duct in this simulation experiment simulates the rectangular wind duct of a 300MW coal-fired thermal power unit, and the following simulated wind volume measurement experiment is carried out:
  • FIG. 3 and 4 it is a schematic diagram of the simulated air duct structure of the air volume measurement system based on big data analysis.
  • the simulated air duct section is a primary hot air rectangular air duct section of a 300MW coal-fired power generation unit entering a ball mill 10.
  • the simulation ratio of the actual air duct to the simulated air duct is 2:1.
  • the expansion joint A 11, the expansion joint B 12, the cold air pipe 13, the cold air outlet 14, the shut-off valve 15, the regulating valve 16 and the expansion joint C 17 in the actual air duct are cancelled to make a simple structure simulated air duct; at the same time, a fan is set at the primary hot air inlet, and a large data air volume dynamic longitude and latitude sensor device (i.e., the large data air volume dynamic longitude and latitude sensor device shown in Figures 1 and 2) is installed at the cross section of the simulated air duct close to the ball mill 10; in the figure, 0.00, 2.235, 6.10, and 8.30 are elevations of 0.00 meters, 2.235 meters, 6.10 meters, and 8.30 meters, respectively.
  • the fan is selected: Shanghai Halon Fan Electric Co., Ltd. fan model 4-72, air volume 10562-3712m 3 /h, full pressure 1673/2554Pa, and its frequency modulation and speed control device is configured: ABB inverter product model ACSS10, which meets the 25-100% wind speed adjustment range; at the same time, the above-mentioned big data air volume dynamic longitude and latitude sensor device of appropriate size is designed according to the size of the simulated air duct cross-section, and installed on the cross-section of the simulated air duct.
  • the air volume flowmeter model specification of the big data air volume dynamic longitude and latitude sensor device AFM-110 plug-in multi-throat flow measurement device (i.e.
  • control monitoring and analysis unit A includes: 1) a latitude and longitude mobile control data storage box, its specification: Cool Mei CM6024, 2) a Lenovo laptop and a set of air volume measurement section flow field visualization analysis and optimization point selection software.
  • the horizontal stepper motor and vertical stepper motor are equipped with the Leadshine intelligent 57CME26 stepper motor.
  • the differential pressure transmitter transmits the air volume measurement value data corresponding to each preset point under the monitored air duct load value to the latitude and longitude mobile control data storage box through the data line, and transmits the load value, preset point and its corresponding air volume measurement value in the latitude and longitude mobile control data storage box to the Lenovo laptop one by one, and uses the air volume measurement section flow field visualization analysis and optimization point selection software for big data analysis and processing.
  • the wind speed is sampled at the preset points of the measured cross section at load values of 33%, 41.7%, 58.3%, 70%, 87.6% and 100% respectively.
  • the wind volume electrical signals of each preset point are transmitted to the control monitoring and analysis unit A through the air volume transmitter to form a database.
  • the database is imported into the "wind volume measurement cross-section flow field visualization analysis and optimization point selection software" for analysis and processing to form a cross-section-wind speed stereogram wind speed peak diagram, which can intuitively see the wind speed size of the sampling point at different positions on the measured cross section at the same load value, as shown in Figures 5a to 5f, which are 3D wind volume measurement curves of the wind volume measurement system when the load values are 33%, 41.7%, 58.3%, 70%, 87.6% and 100% respectively;
  • the control monitoring and analysis unit calculates the pre-selected data average wind speed value points through image observation and big data: the sum of the wind speeds measured at all 120 preset points under a certain load value is divided by 120 to obtain the average wind speed value of the data under the load value; according to the setting of the average wind speed error of the wind duct data as 0, 1/4500, 2/4500, 3/4500, 4/4500... gradually increases (where 4500 is the maximum wind speed value measured in the above simulated wind duct), confirm that the measured load value falls within the set value.
  • Figure 6 is a 3D curve diagram of the selected data average wind speed points when the set data average wind speed error of the wind volume measurement system based on big data analysis of the simulated wind duct section is 6/4500, wherein the 5 black dots in the figure are the 5 common pre-selected points of the data average wind speed values when the set data average wind speed error of the wind duct data is 6/4500.
  • the position of the average wind speed value point of the duct cross-section data is measured. Due to the limitations of the simulated wind duct simulation ratio and the load regulation of the actual equipment, support, and online sampling in the duct, the position of the average wind speed value of the wind field data under partial load is affected. It is necessary to set an air volume meter at the corresponding position of the actual measured duct cross-section to measure the wind speed, and compare it with the air volume measurement result of the simulated wind duct experiment. According to the actual installation of the air volume measurement system composed of a dynamic longitude and latitude sensor device based on big data air volume measurement on the duct cross-section, it is calibrated or verified to meet the accuracy requirements of the duct air volume measurement.
  • the above experiment is for simulating wind duct air volume measurement experiment, it is completely feasible to use the above device and method in the actual non-uniform wind field duct, because the wind duct simulation experiment only reduces the actual wind duct by a corresponding proportion, and no matter how complex the actual wind duct is, the wind speed measurement surface diagrams of all non-uniform wind field ducts are irregular 3D surfaces. As long as we can accurately find a few data average wind speed value points in the non-uniform wind field duct (that is, we can find a group of such positions within a reasonable range of wind volume measurement error) to represent the data average wind speed value points in the duct cross section, it can be used.
  • the technical solution of the present invention finds the data average wind speed value point in the cross section of the wind duct through simulation experiments or actual measurement of the wind volume in the wind duct, and then sets the wind volume flowmeter at the data average wind speed value point.
  • the point is set more targeted, which subverts the concept of the existing technology that the geometric average wind speed value represents the actual wind speed value, and greatly improves the accuracy of the wind volume measurement system.
  • the present embodiment provides a big data wind volume dynamic longitude and latitude sensing device in a rectangular air duct, which is an optimization based on the first embodiment, and the difference is that the latitudinal dynamic wind volume sensing portion described in the first embodiment includes a plurality of wind volume flow meters evenly distributed on the lateral portion body, so that the lateral rotating portion described in the first embodiment, that is, the lateral stepping motor, the upper fixed pulley, the left and right angular fixed pulleys, the left and right lateral fixed pulleys and the lateral transmission wires therebetween, can be eliminated, so that the time required for monitoring the wind volume of the entire air duct under a specific load value can be greatly shortened, the sampling period T can be shortened, and the real-time measurement of the wind volume can be ensured; the rest of the parts refer to the corresponding contents of the first embodiment.
  • the rectangular duct air volume measurement system formed by the above-mentioned big data air volume dynamic longitude and latitude sensing device also includes the same number of air volume transmitters or an air volume transmitter respectively connected to several air volume flowmeters in the big data air volume dynamic longitude and latitude sensing device, and a control monitoring and analysis unit A for controlling and monitoring the big data air volume dynamic longitude and latitude sensing device.
  • the number of the air volume transmitters is the same as the number of the air volume flowmeters and they are connected to each other respectively; of course, only to measure the air volume in the air duct more accurately, the positive and negative pressure sampling holes of the air volume flowmeter can be connected to a positive pressure equalizing tube and a negative pressure equalizing tube respectively, and then connected to an air volume transmitter through the positive and negative pressure equalizing tubes.
  • this embodiment also provides a wind volume measurement method based on big data analysis for a non-uniform wind field duct, a method for determining the data average wind speed value point through the above-mentioned wind volume measurement method based on big data analysis for a non-uniform wind field duct, a wind volume measurement system for setting an air volume flowmeter based on the data average wind speed value point, a correction system and method combining a wind volume measurement system based on big data analysis for a non-uniform wind field duct and a wind volume measurement system based on the data average wind speed value point.
  • the corresponding contents thereof refer to the corresponding parts of Embodiment 1.
  • the present embodiment provides a large data air volume dynamic axial radial sensing device in a circular air duct, as shown in Figures 10 and 11, which are schematic diagrams of the structure of a large data air volume dynamic axial radial sensing device provided by the present invention arranged in a circular air duct.
  • the large data air volume dynamic sensing device is a large data air volume dynamic axial radial sensing device, which is arranged in a certain cross-section of a circular air duct 1', and includes an axial sensing active part 5 and its radial driven air volume sensing part 6, and an axial sensing active part driving part.
  • the axial sensing active part driving part includes an axial transmission part 7-1 and its axial driving part for axially transmitting the axial sensing active part.
  • the radial driven air volume sensing part 6 includes a radial dynamic air volume sensor 6-1 and a radial rotating part 6-2 for moving the radial dynamic air volume sensor back and forth in the air duct radially on the
  • the axial sensing active part 5 includes an axial sensing active part body 5-1, the cross section of the axial sensing active part body is a C-shaped structure, the opening of which is located on the right side surface and a transverse track A 5-1-1 is provided on the inner bottom surface;
  • the radial rotating part 6-2 includes a central fixed pulley 6-2-1 and a peripheral fixed pulley 6-2-2 respectively arranged at both ends of the axial sensing active part body 5-1 and a dynamic radial transmission wire 6-2-3 therebetween, and a static transmission part 6-2-4 for axially driving the central fixed pulley to rotate and a radial stepping motor for driving it;
  • the radial dynamic air volume sensor 6-1 is fixed on the side of the opening of the axial sensing active part body 5-1 and is provided on the dynamic radial transmission wire 6-2-3.
  • the axial transmission part 7-1 includes an axial transmission part body 7-1-1 with an I-shaped cross section and a central fixed pulley 7-1-2, a right-end inner fixed pulley 7-1-3 and a static axial transmission wire 7-1-4 therebetween, which are respectively arranged at the center and the right end of the circular air duct on its front side;
  • the axial transmission part body 7-1-1 passes through the center of the circular air duct and its two ends are respectively fixed on the left and right walls of the circular air duct 1 ⁇ , and the right end extends out of the outer wall of the air duct;
  • the axial driving part is an axial stepping motor, which is fixed on the axial transmission part body 7-1-1 and drives the right-end inner fixed pulley 7-1-3 through an axial connection;
  • the axial sensing active part body 5-1 is also provided with a sleeve 5-1-2 at the center point of the air duct, one end of the sleeve is fixed to the axial sensing active part body at the center point of the circular air duct, and the other end is fixed between the inner and outer bearings in the I-shaped structural vertical ribs of the axial transmission part body 7-1-1; the inner wall of the central inner fixed pulley 7-1-2 is embedded in the outer wall of the sleeve;
  • the static transmission part 6-2-4 includes a center outer fixed pulley 6-2-6, a right end outer fixed pulley, and a static radial transmission wire between them, which are respectively arranged on the rear side of the axial transmission part body 7-1-1 at the center of the circular air duct and the right end thereof; the radial stepping motor is fixed on the axial transmission part body 7-1-1 and drives the right end outer fixed pulley through an axial connection; the center outer fixed pulley 6-2-6 is connected to drive the center fixed pulley 6-2-1 to rotate through a connecting shaft, and the connecting shaft between the center outer fixed pulley and the center fixed pulley is embedded in the inner bearing.
  • the radial dynamic air volume sensor 6-1 includes a slider A 6-1-1 sliding along the transverse track A 5-1-1 and an air volume flow meter A 6-1-2 fixed thereon and located above the C-shaped structure of the axial sensing active part body.
  • the circular duct air volume measurement system formed by the above-mentioned big data air volume dynamic axial radial sensing device also includes an air volume transmitter connected to the air volume flowmeter A in the big data air volume dynamic axial radial sensing device and a control, monitoring and analysis unit A for controlling and monitoring the big data air volume dynamic axial radial sensing device.
  • this embodiment provides a flow chart of a method for measuring the air volume of an air duct in a non-uniform wind field based on the circular air duct air volume measurement system, and the steps are as follows:
  • the control monitoring and analysis unit A first controls the air volume flowmeter A to move axially from the initial position by a preset angular displacement, and then controls the air volume flowmeter A to radially measure the wind speed values (i.e., differential pressure values) of all preset radial points one by one, and at the same time sends the measured air volume at the corresponding preset points to the air volume transmitter, and then the air volume transmitter stores its air volume electrical signal in the control monitoring and analysis unit A (i.e., the control monitoring and analysis unit A first controls the axial stepping motor to move by a preset angular displacement, and then controls the radial stepping motor to drive the air volume flowmeter A in the radial rotating part 6-2 to radially measure the wind speed values of all preset horizontal points one by one, and at the same time sends the measured wind speed values (i.e., differential pressure) at the corresponding preset points to the air volume transmitter, and then the air volume transmitter stores its air volume electrical signal in the control monitoring and analysis unit A);
  • the control monitoring and analysis unit A controls the air volume flow meter A to move axially by a preset angular displacement, and the step 2 is repeated until the air volume flow meter A measures the wind speed values of all preset points in the entire circular air duct;
  • the control monitoring and analysis unit A accumulates the wind speed measurement values of all the above preset points and divides it by the number of preset points to obtain the average wind speed value of the duct data within the sampling period T, which is the duct air volume measurement value.
  • the wind speed measurement of all preset points in the entire circular air duct requires a sampling period T, but the size of this sampling period T is determined by factors such as the speed of the axial stepper motor and the radial stepper motor, the size of the circular air duct, the number of preset points in the circular air duct, and the wind speed in the circular air duct.
  • the shorter the sampling period T the more accurate the average wind speed value of the above-mentioned air duct data.
  • the air duct load value is constant, the average wind speed value of the above-mentioned air duct data has nothing to do with the size of the sampling period T.
  • the preset point intervals are determined by requirements such as the size of the wind duct, the complexity of the wind field and the accuracy of its air volume measurement.
  • this embodiment based on the circular wind duct air volume measurement system, also provides a method flow chart for determining the data average wind speed value point through the above-mentioned non-uniform wind field wind duct air volume measurement method, and the steps are as follows:
  • the angular displacement of the air volume flow meter A in the axial and radial directions is set in the control monitoring and analysis unit A (i.e., the linear displacement and angular displacement of the air volume flow meter A in the radial and axial directions are set in the control monitoring and analysis unit A, i.e., the angular displacement of the radial stepping motor and the axial stepping motor are set respectively; the angular displacement of the two directions can be the same or different);
  • Control monitoring and analysis unit A collects specific load values of the air duct
  • the control monitoring and analysis unit A first controls the air volume flowmeter A to move axially from the initial position by a preset angular displacement, and then controls the air volume flowmeter A to radially measure the wind speed values (i.e., differential pressure values) of all preset points in the radial direction one by one, and at the same time sends the measured air volume at the corresponding preset point to the air volume transmitter, and then the air volume transmitter stores its air volume electrical signal, its position signal, and the specific load value in the control monitoring and analysis unit A in a one-to-one correspondence (i.e., the control monitoring and analysis unit A first controls the axial stepping motor to move by a preset angular displacement, and then controls the radial stepping motor to drive the air volume flowmeter A in the radial rotating part 6-2 to radially measure the wind speed values (i.e., differential pressure values) of all preset points in the radial direction one by one, and at the same time sends the measured air volume at the corresponding preset point to
  • the control monitoring and analysis unit A controls the air volume flow meter A to move axially by a preset angular displacement, and the step 3 is repeated until the air volume flow meter A measures the wind speed values at all preset points in the circular air duct;
  • step 2 Adjust the duct load values in step 2 one by one (such as 35%, 40%, 50%, 60%, 70%, 80%, 90%, 100%); repeat steps 2, 3, and 4 until the wind speed values of all preset points in the duct under the monitored duct load value (i.e., evenly select load values within the allowable range of the duct load value, such as 35%, 40%, 50%, 60%, 70%, 80%, 90%, 100% load) are measured;
  • the control monitoring and analysis unit A calculates the average wind speed value of the data under each load value by accumulating the wind speed values of all preset points of the monitored wind duct at different load values and then divides them by the number of preset points, and then gradually increases the error of the average wind speed of the set wind duct data from zero until at least one common preset point is determined.
  • the wind speed measurement values of the common preset points are all within the range of the sum of the average wind speed value of the data under each load value and the increased error of the average wind speed of the set wind duct data.
  • the present embodiment provides an air volume measurement system in which an air volume flowmeter is set based on the data average wind speed value point: an air volume flowmeter is set at each data average wind speed value point determined according to the above method for determining the data average wind speed value point; since the wind speed values measured at the above data average wind speed value points are basically the same, there is almost no air flow between the air volume flowmeters at each data average wind speed value point, and the wind speed values measured by the air volume flowmeters at each data average wind speed value point are pressure-equalized and then connected to an air volume transmitter, and then connected to the control monitoring and analysis unit A to form an air volume measurement system in which an air volume flowmeter is set based on the data average wind speed value point.
  • the air volume flowmeters at each data average wind speed value point can also be connected to an air volume transmitter respectively, so that the air volume measurement system measures the air volume value more accurately.
  • the above method can accurately find the specific common points where the average wind speed value of the data is located in the cross section of the air duct, and set air volume flow meters at these points to measure the air volume of the air duct accurately in real time.
  • this embodiment also provides a correction system combining the wind volume measurement system based on big data analysis and the wind volume measurement system based on the data average wind speed value point setting wind volume flowmeter, the correction system includes a large data wind volume dynamic axial radial sensor device set in the wind duct cross section and an wind volume flowmeter set at at least one data average wind speed value point on the wind duct cross section offset therefrom, and the wind volume transmitters and control monitoring and analysis units respectively connected thereto.
  • the present correction system can also be based on the big data analysis of the wind volume measurement system and the data average wind speed value point setting wind volume flowmeter wind volume measurement system to run simultaneously, one for backup and one for use to ensure the reliability and accuracy of the wind duct air volume measurement.
  • this embodiment also provides a correction method that combines an air volume measurement system based on big data analysis with an air volume measurement system that sets an air volume flowmeter based on data average wind speed value points.
  • FIG9 it is a flow chart of a correction method that combines an air volume measurement system based on big data analysis with an air volume measurement system that sets an air volume flowmeter based on data average wind speed value points.
  • the method is: using at least one large data air volume dynamic axial radial sensor device in the air duct cross section to perform all-round dynamic point-by-point wind speed measurement at preset point intervals within each sampling period, and then accumulating the wind speed measurement values of all the above preset points and dividing by the preset number of points is the average wind speed value Fdps of the air duct data (for a specific description of the air volume measurement method, see FIG7 for a flow chart of an air volume measurement method based on big data analysis for an air duct in a non-uniform wind field and its description part); at the same time, using at least one data average wind speed value point in the air duct cross section to set an air volume flowmeter to perform real-time wind volume measurement.
  • a warning signal can also be output to manually or automatically adjust the setting position of the data average wind speed value point air volume flowmeter A.
  • the predetermined measurement error value is not greater than 2% (i.e., the second-level requirement of industrial measurement accuracy).
  • this correction method can also allow the air volume measurement system based on big data analysis and the air volume measurement system based on the data average wind speed value point setting air volume flow meter to run simultaneously, verify each other, and ensure the reliability and accuracy of the duct air volume measurement.
  • This embodiment provides a large data air volume dynamic axial radial sensing device in a circular air duct, which is an optimization of the third embodiment, and the difference is that the radial driven air volume sensing part in the third embodiment includes a plurality of air volume flowmeters A evenly arranged radially on the main body of the axial sensing active part.
  • the radial rotating part 6-2 in the third embodiment can be eliminated, which can greatly shorten the time required for monitoring the air volume of the entire air duct under a certain load value, shorten the sampling period T, and ensure the real-time measurement of the air volume; the rest of the contents refer to the corresponding contents of the third embodiment.
  • the circular duct air volume measurement system formed by the above-mentioned big data air volume dynamic sensing axial radial device also includes an air volume transmitter respectively connected to a plurality of air volume flowmeters A in the big data air volume dynamic axial radial sensing device and a control monitoring and analysis unit A for controlling and monitoring the big data air volume dynamic axial radial sensing device.
  • the number of the air volume transmitters is the same as that of the air volume flowmeter A and they are connected to each other respectively; of course, only for more accurate air volume measurement, the positive and negative pressure sampling holes of the air volume flowmeter A can be respectively connected to a positive pressure equalizing tube and a negative pressure equalizing tube, and then connected to an air volume transmitter through the positive and negative pressure equalizing tubes.
  • this embodiment also provides a method for measuring the air volume of an air duct in a non-uniform wind field, a method for determining the data average wind speed value point through the above-mentioned air volume measurement method for an air duct in a non-uniform wind field, an air volume measurement system based on a data average wind speed value point air volume flowmeter, and a correction system and method based on the big data air volume measurement system and the data average wind speed value point air volume flowmeter air volume measurement system.
  • the corresponding contents thereof refer to the corresponding parts of Example 3.
  • the air volume flowmeter in the big data air volume dynamic sensing device described in the present invention is an AFM-110 type insertion type multi-throat flow measuring device.
  • Other Venturi type air volume flowmeters may also be selected, such as single-throat tube, double-throat tube, multi-throat tube and other air volume flowmeters.
  • a Pitot tube air volume flowmeter may also be selected.
  • a back-purge device for measuring gas pipelines in Chinese patent CN111520611A can be used to solve the problem of inaccurate duct air volume measurement caused by dust clogging the air volume flowmeter in the big data air volume dynamic sensing device.
  • the invention point of the present invention is: the big data wind volume dynamic sensing device presets the number of preset points evenly distributed in the wind duct and measures the wind speed in all directions within the cross section of the wind duct, and performs massive big data monitoring and analysis to obtain the average wind speed value of the wind duct data and its corresponding points (of course, basically evenly distributed preset points in the wind duct can also be used, as long as all-round wind speed measurement can be performed to find the average wind speed value of the data and its points), and an air volume measurement system and method, a correction system and method composed of an air volume flowmeter, etc.

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  • Fluid Mechanics (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

L'invention concerne un procédé de mesure de volume d'air basé sur une analyse de mégadonnées. Le procédé consiste : en agençant au moins, dans la section transversale d'un conduit d'air, un débitmètre de volume d'air dans un appareil de détection de volume d'air de mégadonnées dynamique, à réaliser une mesure de volume d'air point par point dynamique omnidirectionnelle à un intervalle de position de point prédéfini pendant chaque période d'échantillonnage ; ensuite, à envoyer un signal de volume d'air électrique mesuré à une unité d'analyse de surveillance de commande A au moyen d'un émetteur de volume d'air ; et, ensuite, à accumuler des valeurs de volume d'air mesurées à toutes les positions de point prédéfinies et à les diviser par le nombre de positions de point prédéfinies de façon à obtenir une valeur de vitesse d'air moyenne de données de conduit d'air. Au moyen du procédé, une vitesse d'air de section transversale réelle est représentée par une valeur de vitesse d'air moyenne de données de section transversale d'un conduit d'air, ce qui permet de résoudre le problème dans l'état de la technique d'un volume d'air d'un conduit d'air qui est mesuré au moyen d'une valeur de vitesse d'air moyenne géométrique d'un appareil de mesure de volume d'air qui est imprécis.
PCT/CN2023/110052 2022-10-19 2023-07-29 Procédé de mesure de volume d'air basé sur une analyse de mégadonnées WO2024082762A1 (fr)

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CN115683240A (zh) * 2022-10-19 2023-02-03 西安京兆电力科技有限公司 一种基于大数据分析的风量测量方法
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