CN115711632A - Method for determining data average wind speed value point position in non-uniform wind field air duct cross section - Google Patents
Method for determining data average wind speed value point position in non-uniform wind field air duct cross section Download PDFInfo
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Abstract
The invention provides a method for determining data average wind speed value point locations in a cross section of an air duct, which is characterized in that a control monitoring and analyzing unit A utilizes a wind volume flowmeter which is provided with a large data wind volume measuring dynamic sensing device in the cross section of the air duct, preset point locations are distributed in the cross section of the air duct in an all-around manner, wind volume measurement under a monitored load value is carried out on each preset point location, and the data average value under the monitored load value is respectively calculated: accumulating all the wind speed values of the preset point positions under the monitored load values respectively and dividing the wind speed values by the number of the preset point positions respectively; gradually amplifying the average wind speed error value of the set air duct data until at least one preset point position falls into the range of the average wind speed error value of the set air duct data under the monitored load value, namely the preset point position is the point position of the average wind speed value of the air duct data; therefore, the air flow meter is arranged at the point of the data average air speed value to measure the air speed of the air duct, so that the data average air speed value of the cross section of the air duct represents the air speed of the actual cross section, and the problem of inaccurate air flow measurement in the prior art is solved.
Description
Technical Field
The invention belongs to the technical field of air volume measurement, relates to a method for determining data average wind speed value point locations in a non-uniform wind field air duct cross section, and particularly relates to a method for determining data average wind speed value point locations in the non-uniform wind field air duct cross section based on big data analysis.
Background
In the coal-fired generating set engineering design, for whole engineering investment economy, the length of the straight pipe section without equipment and bending of the air inlet duct of the boiler is often less than 1 time of the diameter of the air duct or the length of the section edge, so that the part 4 of the national standard that the flow rate of the full pipe fluid is measured by a differential pressure device installed in a pipeline with a circular section cannot be met far away: venturi tube (GB/T2624.4-2006/ISO 5167-4) 2003 item 6.2 specifies the installation in the shortest upstream and downstream straight tube sections between the various tube members and the Venturi tube. In addition, the air inlet duct of the boiler in the coal-fired generator set is provided with an air adjusting door, a supporting structure, an elbow piece and a baffle plate, and even the air duct is also provided with a reducing section, so that the air field at the position without one section in the air inlet duct of the boiler is a uniform air field and is an all-non-uniform air field air duct, and the requirements of the air quantity measuring device on the front and rear straight pipe sections cannot be met.
The existing air quantity measuring devices aiming at the non-uniform wind field air channel comprise the following devices:
1) Equal speed pipe air volume measuring device:
the even speed tube air flow measuring device is mainly based on the improved air flow meter of the pitot tube speed measuring principle, namely, a plurality of pairs of sampling holes (more than two pairs of holes) are respectively and uniformly arranged on the front and back of a linear pipe section of the air flow meter along the length direction, the total positive pressure and the total negative pressure of a fluid are respectively measured, the pressure equalization is carried out in the linear pipe section of the air flow meter to measure the average differential pressure, and the flow of the fluid is calculated according to the average pressure, and the even speed tube air flow meter is like a Willib, an Aboba, a Deltaba, a Willib, an Uliproba and the like; the uniform-speed tube air flow meter is simple in structure, convenient to assemble and disassemble and small in pressure loss, and can be arranged in an air duct of a uniform air field to measure air flow accurately, but can be arranged in an air duct of a non-uniform air field to measure air flow of the air duct.
) Air volume measuring device based on Venturi tube type air volume flowmeter
The venturi tube type air flow meter in the air flow measuring device based on the venturi tube type air flow meter utilizes the air flow meter of air flow flowing through, the air flow rate is increased by thinning the air flow from the thick, then a vacuum area is formed at the rear part of the throat part which is thickened from the thin, the vacuum area is provided with a negative pressure sampling hole, and the sampling hole and the inlet sampling hole form differential pressure to measure the air flow. The Venturi tube type air flow meter has the advantages of large differential pressure, high accuracy and small resistance loss; the air quantity measurement of the air duct of the Venturi tube type air quantity flow meter arranged in the air duct of the uniform air field is more accurate, the single-point air quantity measurement of the Venturi tube type air quantity flow meter arranged in the air duct of the non-uniform air field can not ensure the accuracy of the air quantity measurement of the air duct, or the air quantity measurement average differential pressure of the Venturi tube type air quantity flow meter arranged in the air duct of the non-uniform air field in a multi-point geometric uniform way can not accurately measure the average air quantity value of the air duct with the cross section in real time, which is determined by the properties of the non-uniform air field; to a certain extent, the large differential pressure of the single-point or multi-point Venturi air volume flow meter can be converted into a defect in a non-uniform wind field, and the error effect is amplified; the Venturi tube type air flow meter can be a single throat diameter pipe, a double throat diameter pipe, a multi-throat diameter pipe and the like.
) Wing air volume measuring device
The wing air volume measuring device is mainly characterized in that one or more wing type throttling pieces with the flow cross-sectional area smaller than the air passage cross-sectional area are fixedly arranged in an air passage of an air field, and the air volume of the air passage is measured by utilizing the pressure difference generated before and after fluid flows through the wing type throttling pieces; the wing air quantity measuring system is applied to early low-power coal-fired generator sets, has the advantages that a throttling device is prefabricated in an air duct, the functions of rectification and measurement are achieved, and the air quantity of the air duct is accurately measured.
) Multipoint insertion type air quantity measuring device
The multipoint plug-in type air flow meter in the air flow measuring device based on the multipoint plug-in type air flow meter is mainly formed by adopting multipoint geometric mean distribution points on the section of an air duct by using upper and lower inclined opening backrest pipes (plugging prevention of steel wires), respectively establishing differential pressure by using each branch pipe, then communicating and equalizing the pressure by using branch pipes, and finally leading the branch pipes to a main pipe; the geometric mean wind speed value, namely the actual wind speed value, is obtained after multiple times of geometric voltage sharing, but the geometric mean wind speed value is not approximate to the actual wind speed value, and the error is extremely large. In addition, in the process of continuously measuring the multipoint pressure-equalizing air volume, the phenomenon of micro-flowing of the measured gas in the pressure-equalizing branch pipe, the branch pipe and the main pipe backrest pipe can be caused, and particles in the wind field are brought into the branch pipe, the branch pipe and the main pipe at the same time, so that the micro-flowing phenomenon exists every moment along with the changes of load and wind field vortex, the main pipe is quickly blocked by dust, and the differential pressure is smaller and smaller; in order to solve the problem of dust blockage, a steel wire which vibrates along with wind speed is arranged in an upper inclined-opening backrest pipe and a lower inclined-opening backrest pipe in the prior art, but actually, the steel wire only generates wind speed vibration under a certain specific load wind speed, and the steel wire does not generate vibration under other load wind speeds except the load; in addition, alternating wind speed cannot occur in the air duct under normal load to cause the steel wire to vibrate, so that the problem of dust blockage in the multipoint plug-in type air flow meter cannot be solved by inserting the steel wire into the back tubes at the upper and lower inclined openings. Therefore, the air quantity measuring system based on the matrix multipoint plug-in type air quantity flowmeter is difficult to realize the accurate measurement of the air quantity in the air duct of the non-uniform wind field according to the geometrically uniformly distributed sampling points.
In a word, the existing air quantity measuring technology cannot accurately measure the air quantity in the air duct of the non-uniform air field, particularly the air inlet air duct of the coal-fired boiler in real time.
Disclosure of Invention
In order to solve the problem of inaccurate measurement of the air volume of the non-uniform wind field air channel in the prior art, the invention also provides a method for determining the data average wind speed value point position in the non-uniform wind field air channel cross section according to the air volume measurement system based on big data analysis, which comprises the following steps: the control monitoring analysis unit A measures wind speed once in all directions and dynamically point by point at preset point position intervals by utilizing a wind flow meter in a big data wind speed dynamic sensing device arranged in the cross section of the air channel, converts the wind speed into an electric signal wind speed value by a wind speed transmitter, and stores the air channel load value and the air channel preset point position thereof in a sampling period and the measured electric signal wind speed value in a one-to-one correspondence manner; until the measured wind channel load value changes once and the wind speed measurement is finished;
the control monitoring analysis unit A respectively calculates the data flat wind speed value under the monitored load value: respectively accumulating all the wind speed values of the preset point positions under the monitored load value and dividing the wind speed values by the number of the preset point positions;
and adjusting the average wind speed error value of the set wind channel data to gradually increase from zero until at least one preset point position falls into the range of the average wind speed error value of the set wind channel data under the monitored load value, wherein the preset point position is the point position of the average wind speed value of the data.
Preferably, the data mean wind speed value has at least two points.
Preferably, the value range of the monitored load value is 35-100%, and at least one of the monitored load values is selected in the range.
Preferably, 7 different load values are uniformly selected from the monitored load values within the value range.
Preferably, the big data air volume dynamic sensing device comprises a sensing driving part, a driven air volume sensing part and a sensing driving part, wherein the sensing driving part comprises a transmission part for transmitting the sensing driving part and a driving part thereof; the driven air quantity sensing part comprises a dynamic air quantity sensing part and a rotating part which moves the dynamic air quantity sensing part back and forth on the sensing driving part; or the driven air quantity sensing part comprises a plurality of air quantity flow meters which are uniformly distributed on the sensing driving part.
Preferably, 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 radial sensing device.
Preferably, the big data air volume dynamic longitude and latitude sensing device comprises a warp sensing driving part, a weft driven air volume sensing part and a warp sensing driving part, wherein the warp sensing driving part comprises a warp transmission part, a vertical transmission part and a vertical driving part of the warp sensing driving part.
Preferably, the latitudinal driven air quantity sensing part comprises a latitudinal dynamic air quantity sensing part and a transverse rotating part of the latitudinal dynamic air quantity sensing part, wherein an air channel on the longitudinal sensing driving part transversely moves back and forth.
Preferably, the latitudinal dynamic air volume sensing piece comprises a sliding block and an air volume flow meter fixed on the sliding block.
Preferably, the latitudinal driven air volume sensing part comprises a plurality of air volume flow meters uniformly distributed on the longitudinal sensing driving part.
Preferably, the number of the air volume transmitters is the same as that of the air volume flow meters, and the air volume transmitters are communicated with the sampling pipes respectively.
Preferably, 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.
Preferably, the venturi-type air flow meter is at least one of a single throat pipe air flow meter, a double throat pipe air flow meter and a multi-throat pipe air flow meter.
Preferably, the warp sensing active part comprises a transverse part and a vertical part, the cross section of the transverse part body is of an inverted C-shaped structure, the vertical part body is of a long strip-shaped 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 comprises a left transverse fixed pulley and a right transverse fixed pulley which are respectively arranged at two ends of the transverse part body and partially exposed out of the top surface of the transverse part body, a left corner fixed pulley and a right corner fixed pulley which are respectively arranged at two inner sides of the lower end in the vertical part body, and an upper fixed pulley which is arranged at the inner side of the upper end of the vertical part body, and a transverse rotating steel wire and a transverse stepping motor which drive the upper fixed pulley are wound on the left transverse fixed pulley, the right corner fixed pulley, the left corner fixed pulley, the right corner fixed pulley and the upper fixed pulley; the latitudinal dynamic air quantity sensing piece is fixed at the lower end of the transverse part body and is arranged on the transverse rotating steel wire.
Preferably, the vertical transmission part comprises a vertical transmission part body, an upper fixing seat and a lower fixing seat which are respectively provided with a bearing in the upper end and the lower end of the vertical transmission part body, and a vertical screw fixed in the bearings of the upper fixing seat and the lower fixing seat; the upper end part of the transverse part body is also provided with a nut in threaded connection with the vertical screw rod, 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 rod axially.
Preferably, the method is characterized in that,
the warp sensing driving part comprises a transverse part and a vertical part, the cross section of the transverse part body is of an inverted C-shaped structure, the vertical part body is of a long strip-shaped closed shell, and the transverse part body and the vertical part body are welded together to form an inverted T-shaped structure; the air flow meter is fixed at the lower end of the transverse part body.
Preferably, the vertical transmission part comprises a vertical transmission part body, an upper fixing seat and a lower fixing seat which are respectively internally provided with a bearing at the upper end and the lower end thereof, and a vertical screw fixed in the bearings of the upper fixing seat and the lower fixing seat; the upper end part of the transverse part body is also provided with a nut in threaded connection with the vertical screw rod, 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 rod axially.
According to the method, an air flow meter of a big data air flow measurement dynamic sensing device is arranged in the cross section of an air passage of a non-uniform wind field to carry out big data analysis on the air speed measurement values of all preset points of the air passage under a monitored load value, and the average air speed value point of air passage data is searched; therefore, the air flow meter can be arranged at the point of the average air speed value of the air duct data to measure the air speed of the air duct, so that the average air speed value of the data of the cross section of the air duct represents the air speed of the actual cross section, and the problem that the geometric average air speed value of the air flow measuring device in the prior art cannot accurately measure the air flow of the air duct is solved.
Drawings
Fig. 1 is a schematic structural view of a front side of a large data air volume measurement dynamic longitude and latitude sensing device arranged in a rectangular air duct according to the first embodiment;
FIG. 2 isbase:Sub>A schematic view ofbase:Sub>A side sectional structure of the big data air volume measurement dynamic longitude and latitude sensing device in FIG. 1 arranged inbase:Sub>A rectangular air duct in the direction A-A;
FIG. 3 is a schematic plan view of a primary hot air duct inlet section of a simulated 300MW coal-fired power generation unit for an air volume measurement system based on big data analysis according to an embodiment;
FIG. 4 is a schematic view of the arrangement of the B-B direction vertical face of the primary hot air duct entering section of the ball mill in FIG. 3;
FIG. 5a is a graph of the 3D wind speed measurement of the air volume measuring system at a load value of 33% for the simulated wind tunnel segment of FIG. 3;
FIG. 5b is a graph of the 3D wind speed measurement of the air volume measuring system at a load value of 41.7% for the simulated wind tunnel segment of FIG. 3;
FIG. 5c is a 3D wind speed measurement graph of the air volume measuring system of the simulated wind tunnel segment of FIG. 3 at a load value of 58.3%;
FIG. 5D is a graph of the 3D wind speed measurement of the air volume measuring system at a load value of 70% for the simulated wind tunnel segment of FIG. 3;
FIG. 5e is a 3D wind speed measurement graph of the air volume measuring system of the simulated wind tunnel segment of FIG. 3 at a load value of 87.6%;
FIG. 5f is a graph of the 3D wind speed measurement of the air volume measuring system at a load value of 100% for the simulated wind tunnel segment of FIG. 3;
FIG. 6 is a 3D plot of selected data average wind speed value points when the error of the set data average wind speed value of the wind volume measuring system of the simulated wind channel section based on big data analysis in FIG. 3 is 6/4500;
FIG. 7 is a schematic flow chart of an air volume measuring method based on big data analysis according to the present invention;
FIG. 8 is a schematic flow chart of a method for determining a point of a data average wind speed value by an air volume measuring system based on big data analysis according to the present invention;
FIG. 9 is a schematic flow chart of a correction method for combining an air volume measuring system based on big data analysis with an air volume measuring system with an air volume flow meter arranged at a data average wind speed point location according to the present invention;
fig. 10 is a schematic structural diagram of a configuration in which the large-data air volume measurement dynamic axial-radial sensing device provided in the second embodiment is disposed in a circular air duct;
FIG. 11 is a schematic view of a C-C direction side section structure of the large data air volume measurement dynamic axial-radial sensing device in FIG. 10 arranged in a circular air duct.
The reference numbers in the figures illustrate: 1, a rectangular air duct; 2, a warp direction sensing driving part, 2-1 vertical transmission parts, 2-1-1 vertical transmission part bodies, 2-1-2 upper fixed seats, 2-1-3 lower fixed seats, 2-1-4 vertical screw rods, 2-1-5 vertical rails and 2-2 vertical driving parts; 3, a warp direction sensing active part, 3-1 transverse parts, 3-1-1 transverse part bodies, 3-1-2 transverse rails, 3-2 vertical parts, 3-2-1 vertical part bodies and 3-2-2 nuts; 4 latitudinal direction driven air quantity sensing parts, 4-1 latitudinal direction dynamic air quantity sensing parts, 4-1-1 sliding blocks, 4-1-2 air quantity flow meters, 4-2 transverse rotating parts, 4-2-1 left transverse fixed pulleys, 4-2-2 right transverse fixed pulleys, 4-2-3 left corner fixed pulleys, 4-2-4 right corner fixed pulleys, 4-2-5 upper fixed pulleys, 4-2-6 transverse rotating steel wires and 4-2-7 transverse stepping motors;
1' circular duct; 5, an axial sensing driving part, 5-1, an axial sensing driving part body, 5-1-1, a transverse track A and 5-1-2 sleeves; 6 radial driven air quantity sensing part, 6-1 radial dynamic air quantity sensing part, 6-1-1 slide block A,6-1-2 air quantity flowmeter A,6-2 radial rotating part, 6-2-1 central fixed pulley, 6-2-2 peripheral fixed pulley, 6-2-3 dynamic radial transmission steel wire, 6-2-4 static transmission part and 6-2-6 central outer fixed pulley; 7-1 axial transmission part, 7-1-1 axial transmission part body, 7-1-2 center internal fixed pulleys, 7-1-3 right end internal fixed pulleys and 7-1-4 static axial transmission steel wires;
10 ball mill, 11 expansion joint A,12 expansion joint B,13 cold air pipe, 14 cold air port, 15 shutoff valve, 16 regulating valve, 17 expansion joint C,0.00 elevation 0.00 meter, 2.235 elevation 2.235 meter, 6.10 elevation 6.10 meter, 8.30 elevation 8.30 meter.
Detailed Description
The concept of the big data air volume dynamic sensing device is as follows: the wind speed of a plurality of point positions which are uniformly or basically uniformly distributed in the cross section perpendicular to the flow direction of the gas in the non-uniform wind field wind channel can be respectively measured one by one, so that the wind speed of the wind channel can be measured in an all-around way, and the average wind speed value of the non-uniform wind field wind channel data or/and the point position of the average wind speed value of the data can be determined through big data analysis. Such as a big data air volume dynamic longitude and latitude sensing device and a big data air volume dynamic axial and radial sensing device.
The big data air volume dynamic sensing device comprises a sensing driving part, a driven air volume sensing part and a sensing driving part, wherein the sensing driving part comprises a transmission part for transmitting the sensing driving part and a driving part (sampling in the warp direction or the axial direction) thereof, the driven air volume sensing part comprises a dynamic air volume sensing part and a rotating part for moving the dynamic air volume sensing part back and forth (sampling in the weft direction or the radial direction) on the sensing driving part; or the driven air quantity sensing part comprises a plurality of air quantity flow meters (sampling in the latitudinal direction or the radial direction) uniformly distributed on the sensing driving part.
The big data air volume dynamic sensing device is arranged in the cross section of the non-uniform wind field air channel, is communicated with the air volume transmitter, and forms an air volume measuring system based on big data analysis together with a control, monitoring and analyzing unit A for controlling and monitoring the big data air volume dynamic sensing device and the air volume transmitter.
The control monitoring and analysis unit A controls the big data air volume dynamic sensing device to measure the air speed of a plurality of point locations uniformly or basically uniformly distributed in the cross section perpendicular to the air flow direction one by one under a specific load value of a certain air duct, so that the air speed of the air duct is measured in an all-around manner, and a data average air speed value is obtained or corresponding point locations are determined.
The invention is further elucidated with reference to the drawings and the detailed description; it should be understood that the following detailed description is illustrative of the invention and is not to be construed as limiting the scope of the invention.
Example one
As shown in fig. 1 and 2, a schematic structural diagram of a large data air volume dynamic longitude and latitude sensing device provided by the present invention is arranged in a rectangular air duct, and the large data air volume dynamic sensing device is a large data air volume dynamic longitude and latitude sensing device; the big data air volume dynamic longitude and latitude sensing device is arranged in a certain cross section of the rectangular air duct 1 and comprises a longitude sensing driving part 3, a latitude driven air volume sensing part 4 thereof and a longitude sensing driving part 2, wherein the longitude sensing driving part 2 comprises a vertical transmission part 2-1 for transmitting the longitude sensing driving part in a longitude direction and a vertical driving part 2-2 thereof; the latitudinal driven air quantity sensing part 4 comprises a latitudinal dynamic air quantity sensing part 4-1 and a transverse rotating part 4-2, wherein the latitudinal dynamic air quantity sensing part 4-1 (the X-axis direction is the latitudinal direction) is transversely moved back and forth in an air channel on the longitudinal sensing driving part.
The warp direction sensing active part 3 comprises a transverse part 3-1 and a vertical part 3-2, the body of the warp direction sensing active part 3 is transversely of an inverted T-shaped structure, the cross section of the transverse part body 3-1-1 is of an inverted C-shaped structure, and the inner top surface of the C-shaped structure is provided with a transverse rail 3-1-2; the vertical part body 3-2-1 is a strip-shaped closed shell, and the transverse part body 3-1-1 and the vertical part body 3-2-1 are welded together to form an inverted T-shaped structure; the upper end of the rear side of the vertical part body is provided with a nut 3-2-2.
The transverse rotating part 4-2 comprises a left transverse fixed pulley 4-2-1 and a right transverse fixed pulley 4-2-2 which are respectively arranged at two ends of the transverse part body 3-1-1 and are partially exposed out of the top surface of the transverse part body 3-1-1, a left corner fixed pulley 4-2-3 and a right corner fixed pulley 4-2-4 which are respectively arranged at two inner sides of the inner lower end of the vertical part body 3-2-1, an upper fixed pulley 4-2-5 which is arranged at the inner upper end of the vertical part body 3-2-1, a transverse rotating steel wire 4-2-6 which is wound on the left transverse fixed pulley, the right corner fixed pulley, the left corner fixed pulley, the right corner fixed pulley and the upper fixed pulley, and a transverse stepping motor 4-2-7 which drives the upper fixed pulley.
The latitudinal dynamic air quantity sensing piece 4-1 is fixed at the lower end of the transverse part body and is arranged on the transverse rotating steel wire 4-2-6; the latitudinal dynamic air quantity sensing part 4-1 comprises a sliding block 4-1-1 sliding along the transverse track and an air quantity flow meter 4-1-2 fixed on the sliding block and positioned below the C-shaped structure of the transverse part body.
The vertical transmission part 2-1 comprises a vertical transmission part body 2-1-1, an upper fixing seat 2-1-2, a lower fixing seat 2-1-3 and a vertical screw rod 2-1-4, wherein the upper end and the lower end of the vertical transmission part body are respectively provided with a bearing, and the vertical screw rod is fixed in the upper fixing seat bearing and the lower fixing seat bearing; the vertical driving part 2-2 is a vertical stepping motor which is fixed on the upper end surface of the transmission part body 2-1-1 and drives the vertical screw 2-1-4 axially. The cross section of the vertical transmission part body 2-1-1 is of a groove-shaped structure, the bottom of the groove-shaped structure is provided with a vertical rail 2-1-5 (in order to enable the nut 3-2-2 to stably slide up and down in the groove), and the whole vertical transmission part body is vertically fixed on the outer wall above the rectangular air duct 1; in this way, the whole warp direction sensing active part 3 is driven by the nut 3-2-2 to move up and down (the Y axis direction is the warp direction) on the vertical screw rod 2-1-4.
The rectangular air duct air quantity measuring system formed by the big data air quantity dynamic longitude and latitude sensing device also comprises an air quantity transmitter connected with the air quantity flow meter in the big data air quantity dynamic longitude and latitude sensing device and a control monitoring and analyzing unit A for controlling and monitoring the big data air quantity dynamic longitude and latitude sensing device.
As shown in fig. 7, the present embodiment provides a schematic flow chart of an air volume measuring method based on big data analysis for a non-uniform wind field wind channel based on the rectangular wind channel air volume measuring system, which includes the following steps:
1) Setting angular displacement of the air volume meter in the control monitoring and analyzing unit A in both latitudinal and longitudinal directions (namely setting displacement of the air volume meter in both transverse (X-axis direction, namely latitudinal) and vertical (Y-axis direction, namely longitudinal) directions in the control monitoring and analyzing unit A, namely respectively setting preset angular displacement of the transverse stepping motor and the vertical stepping motor; the angular displacement in both directions may be the same or different);
2) The control monitoring analysis unit A controls the air flow meter to move from an initial position to a preset angular displacement, then controls the air flow meter to measure the air speed values (namely differential pressure values) of all preset point positions in the latitudinal direction one by one in the latitudinal direction, and simultaneously sends the air quantity measured by the corresponding preset point positions to the air quantity transmitter, and then the air quantity transmitter stores the air quantity electric signals thereof in the control monitoring analysis unit A (namely, the control monitoring analysis unit A controls the vertical stepping motor to move by a preset angular displacement, and then controls the transverse stepping motor to drive the upper fixed pulley to drive the transverse rotating steel wire 4-2-6 to rotate by a preset angular displacement, thereby driving the air flow meter to transversely measure the air speed values of all the transverse preset point positions one by one, and simultaneously sends the air speed values (namely differential pressure) measured by the corresponding preset point positions to the air quantity transmitter, and then the air quantity electric signals thereof are stored in the control monitoring analysis unit A by the air quantity transmitter;
3) Then, the control monitoring and analysis unit A controls the vertical stepping motor to move by a preset angular displacement, and the step 2 is circulated until the air flow meter comprehensively measures all preset point wind speed values in the rectangular air channel;
4) And the control monitoring and analyzing unit accumulates the wind speed measurement values of all the preset point positions and divides the wind speed measurement values by the preset point positions of the rectangular air channel to obtain the average wind speed value of the air channel data in the sampling period T, and the average wind speed value is the wind volume measurement value of the air channel.
The wind speed measurement of all preset point positions of the whole rectangular air channel needs a sampling period T, but the sampling period T is determined by the speed of the transverse stepping motor and the vertical stepping motor, the size of the rectangular air channel, the number of preset point positions of the rectangular air channel, the wind speed of the rectangular air channel and other factors, the shorter the sampling period T is, the more accurate the average wind speed value of the air channel data is, but under the condition of constant air channel load value, the average wind speed value of the air channel data is irrelevant to the sampling period T.
The preset point interval is determined by the requirements of air duct size, wind field complexity, wind volume measurement precision and the like.
As shown in fig. 8, the present embodiment further provides a method for determining a data average wind speed point location by using the wind volume measuring system of the non-uniform wind field wind channel based on the rectangular wind channel wind volume measuring system, which includes the following steps:
1) Setting the angular displacement of the air flow meter in each time in the latitudinal direction and the longitudinal direction in the control monitoring and analyzing unit A (namely setting the displacement of the air flow meter in each time in the transverse direction (X-axis direction, namely latitudinal direction) and the vertical direction (Y-axis direction, namely longitudinal direction) in the control monitoring and analyzing unit A, namely respectively setting the angular displacement of each time of the transverse stepping motor and the vertical stepping motor; the angular displacement in both directions may be the same or different);
2) Controlling a monitoring and analyzing unit A to collect a specific load value of an air duct;
3) The control monitoring analysis unit A controls the air flow meter to move from an initial position to a preset angular displacement, controls the air flow meter to measure the air speed values (namely differential pressure values) of all preset point positions in the latitudinal direction one by one, simultaneously sends the air quantity measured by the corresponding preset point positions to the air quantity transmitter, and then the air quantity transmitter stores the air quantity electric signals, the position signals and the specific load values thereof in the control monitoring analysis unit A in a one-to-one correspondence manner (namely the control monitoring analysis unit A controls the vertical stepping motor to move to the preset angular displacement first, then controlling a transverse stepping motor to drive an upper fixed pulley to drive a movable transverse rotating steel wire 4-2-6 to rotate for a preset angular displacement, thereby driving an air flow meter to transversely measure air speed values (namely differential pressure) of all transverse preset point positions one by one, simultaneously sending air quantities measured by corresponding preset point positions to an air quantity transmitter, and storing air quantity electric signals, position signals and specific load values of the air quantity electric signals and the position signals in a control monitoring analysis unit in a one-to-one correspondence manner by the air quantity transmitter;
4) Then, the control monitoring and analysis unit A controls the air volume flow meter to move in a warp direction by a preset angular displacement, and the step 3 is repeated until the air volume flow meter comprehensively measures all preset point position air speed values in the rectangular air duct;
5) Adjusting the airway load values (such as 35%, 40%, 50%, 60%, 70%, 80%, 90%, 100%) in step 2 one by one; repeating the steps 2, 3 and 4 until all wind speed values at preset point positions of the wind channel under the monitored wind channel load values (selected load values are uniformly distributed within the range allowed by the wind channel load values, such as 35%, 40%, 50%, 60%, 70%, 80%, 90% and 100% of load) are measured;
6) The control monitoring and analyzing unit A respectively accumulates all the wind speed values of the preset point positions of the different load values of the monitored wind channel, then respectively divides the wind speed values by the number of the preset point positions to calculate the data average wind speed value under each load value, and then gradually increases the set wind channel data average wind speed error from zero until at least one common preset point position is determined, namely the wind channel data average wind speed value point position. The wind speed measurement value of the common preset point is within the range of the sum of the data average wind speed value under each load value and the increased data average wind speed error of the set air channel;
in addition, this embodiment still provides an amount of wind measurement system based on data average wind velocity point location sets up the amount of wind flowmeter: setting air flow meter on each data average wind speed value point determined by the method for determining data average wind speed value point; because the wind speed values measured by the data average wind speed value point locations are basically consistent, air flow hardly occurs among the wind volume flowmeters of the data average wind speed value point locations, the wind speed values measured by the wind volume flowmeters of the data average wind speed value point locations are subjected to pressure equalization through a pressure equalizing pipe and then are connected with a wind volume transmitter, and then the wind volume transmitter and the control monitoring analysis unit A form a wind volume measuring system for arranging the wind volume flowmeters on the basis of the data average wind speed value point locations. Of course, the air volume flow meter at each data average wind speed value point does not carry out pressure equalization through a pressure equalizing pipe, and can also be respectively connected with an air volume transmitter, so that the air volume measurement system can measure the air volume more accurately.
Because the wind fields of the wind channels are all non-uniform wind fields under different load values, the specific common point positions where the data average wind speed values in the cross sections of the wind channels are located can be accurately found through the method, and the wind volume meters are arranged on the point positions, so that the wind volume of the wind channels can be accurately measured in real time.
Secondly, based on the above-mentioned amount of wind measurement system based on big data analysis and the amount of wind measurement system that data mean wind speed value point set up the air flowmeter, this embodiment provides an amount of wind measurement system based on big data analysis and an amount of wind measurement system that sets up the air flowmeter based on data mean wind speed value point set up an amount of wind measurement system combined together's correction system, correction system includes that set up a big data amount of wind dynamic longitude and latitude sensing device in the wind channel cross section and set up the air flowmeter rather than the at least one data mean wind speed value point on the dislocation wind channel cross section, and the amount of wind transmitter and the control monitoring analysis unit A, B that are connected respectively with them separately. Of course, in order to ensure that the air duct air quantity measurement result is reliable, the correction system can also be used for simultaneously operating an air quantity measurement system based on a big data analysis air quantity measurement system and an air quantity measurement system of an air quantity flow meter arranged at a data average wind speed value point position, and the correction system can be used for ensuring that the air duct air quantity measurement is reliable and accurate.
Finally, based on the above-mentioned correction system, this embodiment provides a correction method combining an air volume measurement system based on big data analysis and an air volume measurement system that sets an air volume flow meter based on data average wind speed value point location, as shown in fig. 9, which is a schematic flow chart of a correction method combining an air volume measurement system based on big data analysis and an air volume measurement system that sets an air volume flow meter based on data average wind speed value point location. The method comprises the steps of utilizing at least one big data air volume dynamic longitude and latitude sensing device arranged in the cross section of an air duct to carry out omnibearing dynamic point-by-point wind speed measurement at preset point intervals in each sampling period, and then accumulating the wind speed measurement values of all the preset point positions and dividing the accumulated wind speed measurement values by preset point digits to obtain an air duct data average wind speed value Fdps (the specific air volume measurement method is explained, and the detailed flow diagram and the explanation part thereof of the air volume measurement method based on big data analysis of the air duct of the non-uniform wind field shown in figure 7 are detailed); meanwhile, at least one data average wind speed value point location wind volume flow meter is arranged in the cross section of the air duct to measure the wind volume in real time, and then the measured average wind speed value point location wind speed measured value is accumulated and divided by the average wind speed value point number or the data average wind speed value point location wind volume flow meter to obtain the average wind speed value Fpps of the data average wind speed value point location of the air duct; then calculating the difference value between the average wind speed value Fdps of the air duct data and the average wind speed value point-to-point average wind speed value Fpps of the air duct data; when the difference value is larger than a preset measurement error value, outputting an early warning signal and adopting an air duct data average air speed value Fdps; and when the difference value is smaller than the preset measurement error value, outputting a normal signal and adopting one of the average wind speed value Fdps of the air duct data and the average wind speed value Fpps of the air duct data. When the difference value is larger than the preset measurement error value, an early warning signal can be output, and the setting position of the data average wind speed value point wind volume flowmeter is manually or automatically adjusted again. The predetermined measurement error value is not greater than 2% (i.e., the secondary accuracy requirement of the industrial air volume measurement).
Of course, in order to ensure that the air duct air volume measurement result is reliable, the air volume measurement system based on big data analysis and the air volume measurement system based on the data average wind speed point position setting air volume flow meter can operate simultaneously, and mutual verification can be carried out to ensure that the air duct air volume measurement is reliable and accurate.
Simulation experiment
The following air volume measurement system based on the big data air volume dynamic longitude and latitude sensing device simulates a 300MW coal-fired thermal power generating unit rectangular air channel in the simulation experiment, and carries out the following simulation air volume measurement experiment:
introduction of a simulation experiment system:
as shown in fig. 3 and 4, the simulated air duct structure of the air volume measuring system based on big data analysis is schematically illustrated, the simulated air duct section is a primary hot air rectangular air duct section of a 300MW coal-fired power generating unit entering a ball mill 10, the simulation ratio of an actual air duct to the simulated air duct is 2; meanwhile, a fan is arranged at a primary hot air inlet, and a large data air volume dynamic longitude and latitude sensing device (namely the large data air volume dynamic longitude and latitude sensing device shown in figures 1 and 2) is arranged on the cross section of a simulated air duct close to the ball mill 10; in the figure, 0.00, 2.235, 6.10 and 8.30 are respectively 0.00 meter of elevation, 2.235 meter of elevation, 6.10 meter of elevation and 8.30 meter of elevation.
Selecting fans with model 4-72 of Shanghai Hailong Fan electric appliance Limited and air volume 10562-3712m according to the requirement of air speed of the simulated air duct 3 The pressure is 1673/2554Pa, and a frequency modulation speed regulating device is configured, wherein the frequency converter product model of ABB is ACSS10, and the wind speed regulating range is 25-100%; the AFM-110 plug-in type multi-throat flow measuring device (namely an air flow meter) is matched with a Rosimonte (ROSEMOUNT) 3051 CD0A02A1A1H2B3M5 series intelligent differential pressure transmitter (namely an air flow transmitter) connected with the device in a selection mode, and the measuring range is as follows: 0-5171KPa, 10.5-55VDC power supply, 27315068110 serial number, 0-747Pa calibration, 4-20mA output; the control monitoring analysis unit A comprises: 1) Longitude and latitude mobile control data storage box, its specification: kumei CM6024, 2) associated notebook and one set of software for visual analysis and optimization point selection of flow field of air volume measurement section. The transverse stepping motor and the vertical stepping motor are matched with a Rasai intelligent 57CME26 stepping motor. The differential pressure transmitter transmits the air volume measured value data corresponding to each preset point position under the monitored air duct load value to the longitude and latitude movement control data storage box through the data line, transmits the load value, the preset point position and the corresponding air volume measured value in the longitude and latitude movement control data storage box to the association notebook one by one and utilizes the airAnd (4) performing large data analysis processing on the flow field of the measuring section by visual analysis and optimization point selection software.
(II) simulating the measurement process and results of the experiment:
1) Presetting a point number on a cross section measured on a control monitoring analysis unit A: the xy axis intersection point on the cross section measured by the simulated air duct is a preset point: 20 lines are divided on the x axis, 6 lines are divided on the Y axis, and 120 preset point positions are counted;
2) The wind speed sampling is carried out on the preset point positions of the measured cross section under the load values of 33%,41.7%,58.3%,70%,87.6% and 100%, the wind speed electric signals of all the preset point positions are transmitted to the control monitoring analysis unit A through the wind rate transmitter to form a database, after all the preselected load sampling is finished, the database is led into 'wind rate measuring cross section flow field visual analysis and optimized point selection software' to be analyzed and processed to form a cross section-wind speed three-dimensional map, and the wind speed of the sampling point at different positions on the measured cross section under the same load value can be visually seen, for example, fig. 5a to 5f are respectively load values of 33%,41.7%,58.3%,70%,87.6% and 100%, and a 3D wind rate measuring curve graph of the wind rate measuring system is respectively shown in fig. 5a to 5 f;
3) Meanwhile, the control monitoring and analyzing unit calculates the point position of the average wind speed value of the pre-selected data through image observation and big data A: dividing the sum of the wind speeds measured by all 120 preset point positions under a certain load value by 120 to obtain a data average wind speed value under the load value; gradually increasing (wherein 4500 is the measured maximum wind speed value of the simulated wind channel), confirming that the measured load value falls into a plurality of common preset points of xy coordinates corresponding to the wind speed value of the measured preset point in the average wind speed error of the set wind channel data, namely a data average wind speed value preselection point (at least one), and selecting a 3D curve chart of the data average wind speed point when the average wind speed error of the set data of the wind volume measuring system of the simulated wind channel section based on big data analysis is 6/4500 as shown in figure 6, wherein 5 black points in the graph are 5 common point of the average wind speed value of the set wind channel data when the average wind speed error of the set wind channel data is 6/4500.
And (III) simulation experiment data analysis:
certainly, the position of the average wind speed value point of the wind channel cross section data is measured according to the simulated wind channel experiment, because of the simulation ratio of the simulated wind channel and the limitation of the actual wind channel internal equipment, support and online sampling on load regulation, the position of the average wind speed value of the wind field data under partial load is influenced, an air volume meter is required to be arranged at the corresponding position of the actually measured wind channel cross section for wind speed measurement, compared with the air volume measurement result of the simulated wind channel experiment, an air volume measurement system formed by installing a dynamic longitude and latitude sensing device based on big data air volume measurement on the wind channel cross section is used for correcting or verifying the air volume measurement result, and the requirement of the accuracy of the wind channel air volume measurement is met.
Although the experiment is directed at the experiment for measuring the air volume of the simulated air duct, the device and the method are completely feasible to be used in the actual non-uniform air field air duct, because the air duct simulation experiment only reduces the actual air duct in a corresponding proportion, and even if the actual air duct is complicated, the air speed measurement curved surface diagrams of all the non-uniform air field air ducts are irregular 3D curved surfaces, as long as a certain number of data average air speed value points in the non-uniform air field air duct (namely, a group of positions can be found within a reasonable range of air volume measurement errors) can be accurately found to represent the data average air speed value points in the cross section of the air duct.
According to the technical scheme, the data average wind speed value point position in the cross section of the air duct is found through simulation experiments or actual measurement of the air volume of the air duct, and then the air volume flow meter is arranged on the data average wind speed value point position.
Example two
The embodiment provides a big data air volume dynamic longitude and latitude sensing device in a rectangular air duct, which is optimized on the basis of the embodiment, and the differences are as follows: in the first embodiment, the latitudinal slave dynamic air volume sensing part comprises a plurality of air volume flow meters uniformly distributed on a transverse part body, so that the transverse rotating part in the first embodiment, namely a transverse stepping motor, an upper fixed pulley, a left corner fixed pulley, a right corner fixed pulley, a left transverse fixed pulley, a right transverse fixed pulley and transverse transmission steel wires among the transverse stepping motor, the upper fixed pulley, the left corner fixed pulley, the right corner fixed pulley, the left transverse fixed pulley and the right transverse fixed pulley can be eliminated, the required time for monitoring the air volume of the whole air duct under a specific load value can be greatly shortened, the sampling period T is shortened, and the real-time property of measuring the air volume is ensured; the rest of the description refers to the corresponding contents of the examples.
The rectangular air duct air quantity measuring system formed by the big data air quantity dynamic longitude and latitude sensing device also comprises an air quantity transmitter or an air quantity transmitter with the same quantity which is respectively connected with a plurality of air quantity flowmeters in the big data air quantity dynamic longitude and latitude sensing device, and a control monitoring analysis unit A for controlling and monitoring the big data air quantity dynamic longitude and latitude sensing device. In order to accurately measure the air quantity or accurately find the location of the data average air speed value point, the quantity of the air quantity transmitters is the same as that of the air quantity flow meters in configuration and is respectively communicated with the air quantity flow meters; of course, only for more accurately measuring the air flow in the air duct, the positive and negative pressure sampling holes of the air flow meter can be respectively communicated with a positive pressure equalizing pipe and a negative pressure equalizing pipe, and then are communicated with an air flow transmitter through the positive and negative equalizing pipes.
Similarly, based on a large data air volume dynamic longitude and latitude sensing device in the rectangular air duct, the present embodiment also provides an air volume measuring method based on large data analysis for the non-uniform wind field air duct, a method for determining a data average wind speed value point location by using the large data analysis-based air volume measuring method for the non-uniform wind field air duct, an air volume measuring system with an air volume flow meter arranged based on the data average wind speed value point location, a correcting system and a correcting method combining the large data analysis-based air volume measuring system for the non-uniform wind field air duct and the air volume measuring system with the air volume flow meter arranged based on the data average wind speed value point location, and the corresponding contents thereof participate in the corresponding parts of the first embodiment.
EXAMPLE III
The present embodiment provides a big-data air volume dynamic axial-radial sensing device in a circular air duct, as shown in fig. 10 and 11, the big-data air volume dynamic axial-radial sensing device provided in the present invention is set in a schematic structural diagram of the circular air duct, the big-data air volume dynamic axial-radial sensing device is a big-data air volume dynamic axial-radial sensing device, the big-data air volume dynamic axial-radial sensing device is set in a certain cross section of the circular air duct 1 ″, and includes an axial sensing driving portion 5 and a radially driven air volume sensing portion 6 thereof, and an axial sensing driving portion, and the axial sensing driving portion includes an axial transmission portion 7-1 and an axial driving portion thereof that axially transmit the axial sensing driving portion. The radial driven air quantity sensing part 6 comprises a radial dynamic air quantity sensing part 6-1 and a radial rotating part 6-2 which moves the radial dynamic air quantity sensing part back and forth in the radial direction of an air channel on the axial sensing driving part.
The axial sensing driving part 5 comprises an axial sensing driving part body 5-1, the cross section of the axial sensing driving part body is of a C-shaped structure, the opening of the axial sensing driving part body is positioned on the right side surface of the axial sensing driving part body, and the inner bottom surface of the axial sensing driving part body is provided with a transverse track A5-1-1; the radial rotating part 6-2 comprises a central fixed pulley 6-2-1 and a circumferential fixed pulley 6-2-2 which are respectively arranged at two ends of the axial sensing driving part body 5-1, a dynamic radial transmission steel wire 6-2-3 between the circumferential fixed pulleys and the circumferential fixed pulley, a static transmission part 6-2-4 for axially driving the central fixed pulley to rotate, and a radial stepping motor for driving the static transmission part; the radial dynamic air quantity sensing piece 6-1 is fixed on the side surface of the opening of the axial sensing driving part body 5-1 and is provided with a radial transmission steel wire 6-2-3.
The axial transmission part 7-1 comprises an axial transmission part body 7-1-1 with an I-shaped cross section, and a central inner fixed pulley 7-1-2, a right end inner fixed pulley 7-1-3 and a static axial transmission steel wire 7-1-4 between the central inner fixed pulley 7-1-2 and the right end inner fixed pulley are respectively arranged at the front side of the axial transmission part body at the center of the circular air duct and at the right end of the axial transmission part body; the axial transmission part body 7-1-1 is fixed on the left wall and the right wall of the circular air channel 1' through the center of the circular air channel and two ends of the axial transmission part body are fixed on the right wall and the left wall of the circular air channel respectively, and the right end of the axial transmission part body extends out of the outer wall of the circular air channel; 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 a shaft connection;
the axial sensing driving part body 5-1 is also provided with a sleeve 5-1-2 at the central point of the air channel, one end of the sleeve is fixed on the axial sensing driving part body at the central point of the circular air channel, and the other end of the sleeve is fixed between an inner bearing and an outer bearing in the I-shaped structure vertical rib of the axial transmission part body 7-1-1; the inner wall of the central inner fixed pulley 7-1-2 is embedded on the outer wall of the sleeve;
the static transmission part 6-2-4 comprises an axial transmission part body 7-1-1, a central outer fixed pulley 6-2-6, a right end outer fixed pulley and a static radial transmission steel wire arranged between the two fixed pulleys, wherein the rear side of the axial transmission part body is positioned at the center of the circular air duct, and the right end of the axial transmission part body is respectively provided with the central outer fixed pulley 6-2-6 and the right end outer fixed pulley; the radial stepping motor is fixed on the axial transmission part body 7-1-1 and drives the right end outer fixed pulley through a shaft connection; the central outer fixed pulley 6-2-6 is connected with the driving central fixed pulley 6-2-1 through a connecting shaft, and the connecting shaft between the central outer fixed pulley and the central fixed pulley is embedded into the inner bearing.
The radial dynamic air volume sensing part 6-1 comprises a sliding block A6-1-1 sliding along a transverse track A5-1-1 and an air volume flowmeter A6-1-2 fixed on the sliding block A and positioned above the C-shaped structure of the axial sensing driving part body.
The circular air duct air volume measuring system formed by the big data air volume dynamic axial radial sensing device also comprises an air volume transmitter connected with the air volume flowmeter A in the big data air volume dynamic axial radial sensing device and a control monitoring analysis unit A for controlling and monitoring the big data air volume dynamic axial radial sensing device.
Referring to fig. 7, the flow diagram of the air volume measuring method for the non-uniform wind field air duct provided by the embodiment based on the circular air duct air volume measuring system includes the following steps:
1) Setting angular displacement of the air flow meter A in the axial direction and the radial direction in each time in the control monitoring and analyzing unit A (namely setting the angular displacement and the linear displacement of the air flow meter A in the radial direction and the axial direction in each time in the control monitoring and analyzing unit A respectively, namely setting the angular displacement of the radial stepping motor and the angular displacement of the axial stepping motor in each time respectively; the angular displacement in each of the two directions may be the same or different);
2) The control monitoring analysis unit A controls the air flow meter A to axially move for a preset angular displacement from an initial position, then controls the air flow meter A to radially measure the air speed values (namely differential pressure values) of all radial preset point positions one by one, and simultaneously controls the air flow meter A to transmit the air quantity measured by corresponding preset point positions to the air flow transmitter, and then the air flow transmitter stores the air quantity electric signals thereof in the control monitoring analysis unit A (namely, the control monitoring analysis unit A controls the axial stepping motor to move for a preset angular displacement firstly, then controls the radial stepping motor to drive the air flow meter A in the radial rotating part 6-2 to radially measure the air speed values of all transverse preset point positions one by one, and simultaneously transmits the air speed values (namely differential pressure values) measured by corresponding preset point positions to the air flow transmitter, and then the air quantity electric signals thereof are stored in the control monitoring analysis unit A by the air flow transmitter);
3) Then, the control monitoring and analysis unit A controls the air flow meter A to axially move by a preset angular displacement, and the step 2 is circulated until the air flow meter A measures all preset point position air speed values in the complete circular air duct;
4) And the control monitoring analysis unit A accumulates the wind speed measured values of all the preset point positions and divides the wind speed measured values by the number of the preset point positions to obtain the average wind speed value of the air duct data in the sampling period T, and the value is the measured value of the air duct air quantity.
The wind speed measurement of all preset point positions of the whole circular air channel needs a sampling period T, but the sampling period T is determined by the speed of the axial stepping motor and the radial stepping motor, the size of the circular air channel, the preset point position number of the circular air channel, the wind speed of the circular air channel and other factors, the shorter the sampling period T is, the more accurate the average wind speed value of the air channel data is, but under the condition of constant air channel load value, the average wind speed value of the air channel data is irrelevant to the sampling period T.
The preset point interval is determined by the requirements of air duct size, wind field complexity, wind volume measurement precision and the like.
As shown in fig. 8, the present embodiment further provides a schematic flow chart of a method for determining a point location of a data average wind speed value by using the wind volume measuring method of the non-uniform wind field wind channel based on the circular wind channel wind volume measuring system, and the steps are as follows:
1) Setting angular displacement of the air flow meter A in the axial direction and the radial direction in the control monitoring and analyzing unit A (namely setting the angular displacement of the air flow meter A in the radial direction and the axial direction in the control monitoring and analyzing unit A, namely setting the angular displacement of the radial stepping motor and the angular displacement of the axial stepping motor respectively; the angular displacement in both directions may be the same or different);
2) Controlling a monitoring and analyzing unit A to collect a specific load value of an air duct;
3) The control monitoring analysis unit A controls the air flow meter A to axially move for a preset angular displacement from an initial position, then controls the air flow meter A to radially measure wind speed values (namely differential pressure values) of all preset point positions in the radial direction one by one, and simultaneously transmits the wind quantity measured by the corresponding preset point positions to the air flow transmitter, and then the air flow transmitter stores an air quantity electric signal, a position signal and a specific load value of the air flow electric signal in the control monitoring analysis unit A in a one-to-one correspondence manner (namely the control monitoring analysis unit A controls the axial stepping motor to move for a preset angular displacement firstly, then controls the radial stepping motor to drive the air flow meter A in the radial rotating part 6-2 to radially measure the wind speed values (namely differential pressure values) of all preset point positions in the radial direction one by one, and simultaneously transmits the wind quantity measured by the corresponding preset point positions to the air flow transmitter, and then the air flow transmitter stores the air quantity electric signal, the position signal and the specific load value in the control monitoring analysis unit A in a one-to-one correspondence manner;
4) Then, the control monitoring and analysis unit A controls the air volume flowmeter A to axially move by a preset angular displacement, and the step 3 is repeated until the air volume flowmeter A measures all preset point-position air speed values in the circular air duct;
5) Adjusting the airway load values (such as 35%, 40%, 50%, 60%, 70%, 80%, 90%, 100%) in step 2 one by one; repeating the steps 2, 3 and 4 until all wind speed values at preset points of the wind channel under the monitored wind channel load value (namely, selected load values are uniformly distributed within the range allowed by the wind channel load value, such as 35%, 40%, 50%, 60%, 70%, 80%, 90% and 100% of load) are measured;
6) And the control monitoring and analyzing unit A respectively accumulates all the wind speed values of the preset point positions of the different load values of the monitored wind channel, then respectively divides the accumulated wind speed values by the number of the preset point positions to calculate the data average wind speed value under each load value, and then gradually increases the set wind channel data average wind speed error from zero until at least one common preset point position is determined. The wind speed measurement value of the common preset point is within the range of the sum of the data average wind speed value under each load value and the increased data average wind speed error of the set wind channel.
In addition, the present embodiment provides an air volume measuring system with an air volume flow meter disposed on the basis of the data average wind velocity point: setting an air flow meter on each data average wind speed value point determined by the method for determining the data average wind speed value point; because the wind speed values measured by the data average wind speed value points are basically consistent, air flow hardly occurs between the wind volume flowmeters of the data average wind speed value points, the wind speed values measured by the wind volume flowmeters of the data average wind speed value points are subjected to pressure equalization and then are connected with a wind volume transmitter, and then the wind volume transmitter and the control monitoring analysis unit A form a wind volume measuring system which is provided with the wind volume flowmeters based on the data average wind speed value points. Of course, the data average wind speed value point wind volume flow meter can also be respectively connected with a wind volume transmitter, so that the wind volume measuring system can measure the wind volume value more accurately.
Because the wind fields of the wind channels are all non-uniform wind fields under different load values, the specific common point positions where the data average wind speed values in the cross sections of the wind channels are located can be accurately found through the method, and the wind volume meters are arranged on the point positions, so that the wind volume of the wind channels can be accurately measured in real time.
Secondly, based on the above-mentioned air volume measuring system based on big data analysis and the air volume measuring system based on data average wind speed value point location setting air volume flow meter, this embodiment also provides a correcting system based on the combination of the air volume measuring system based on big data analysis and the air volume measuring system based on data average wind speed value point location setting air volume flow meter, the correcting system includes setting a big data air volume dynamic axial radial sensing device in the cross section of the air duct and setting air volume flow meter with at least one data average wind speed value point location on the cross section of the air duct dislocated with it, and their air volume transmitters and control monitoring analysis units respectively connected. Of course, in order to ensure that the air duct air quantity measurement result is reliable, the correction system can also be used for simultaneously operating an air quantity measurement system based on a big data analysis air quantity measurement system and an air quantity measurement system of an air quantity flow meter arranged at a data average wind speed value point position, and the correction system can be used for ensuring that the air duct air quantity measurement is reliable and accurate.
Finally, based on the above-mentioned correction system, this embodiment further provides a correction method combining an air volume measurement system based on big data analysis and an air volume measurement system setting an air volume flow meter based on data average wind speed value point location, as shown in fig. 9, which is a schematic flow chart of a correction method combining an air volume measurement system based on big data analysis and an air volume measurement system setting an air volume flow meter based on data average wind speed value point location. The method comprises the following steps: utilizing a wind flow meter A in a wind channel cross section, which is at least provided with a big data wind volume dynamic axial radial sensing device, to perform omnibearing dynamic point-by-point wind speed measurement at preset point position intervals in each sampling period, and then accumulating the wind speed measurement values of all the preset point positions and dividing the accumulated wind speed measurement values by preset point digits to obtain a wind channel data average wind speed value Fdps (description of a specific wind volume measurement method, detail FIG. 7 shows a flow diagram and a description part of the wind volume measurement method based on big data analysis of a non-uniform wind field wind channel); meanwhile, setting at least one data average wind speed value point location in the cross section of the air duct to set an air flow meter for real-time air flow measurement, and then accumulating the measured average wind speed value point location wind speed measurement values and dividing the accumulated average wind speed value point location wind speed measurement values by the average wind speed value point number or geometrically equalizing the pressure to obtain an air duct data average wind speed value point location average wind speed value Fpps; then calculating the difference value between the average wind speed value Fdps of the wind channel data and the average wind speed value point-to-point wind speed value Fpps of the wind channel data; when the difference value is larger than a preset measurement error value, outputting an early warning signal and adopting an air channel data average air speed value Fdps; and when the difference value is smaller than the preset measurement error value, outputting a normal signal and adopting one of the average wind speed value Fdps of the air duct data and the average wind speed value Fpps of the air duct data average wind speed point. When the difference value is larger than the preset measurement error value, the early warning signal can be output, and the setting position of the data average wind speed value point wind volume flowmeter A is manually or automatically adjusted again. The predetermined measurement error value is no greater than 2% (i.e., an industrial measurement accuracy secondary requirement).
Of course, in order to ensure that the air duct air volume measurement result is reliable, the air volume measurement system based on big data analysis and the air volume measurement system based on the data average wind speed point position setting air volume flow meter can operate simultaneously, and mutual verification can be carried out to ensure that the air duct air volume measurement is reliable and accurate.
Example four
The embodiment provides a large data air volume dynamic axial and radial sensing device in a circular air duct, which is optimized on the basis of the three embodiments, and the difference is as follows: in the third embodiment, the radial driven air volume sensing part comprises a plurality of air volume flow meters a which are uniformly and radially distributed on the axial sensing driving part body. Therefore, the radial rotating part 6-2 in the third embodiment can be eliminated, so that the time required for monitoring the air quantity of the whole air duct under a certain load value can be greatly shortened, the sampling period T is shortened, and the real-time property of the measured air quantity is ensured; the rest of the corresponding contents of the third embodiment are referred.
The circular air duct air volume measuring system formed by the big data air volume dynamic sensing axial radial device also comprises an air volume transmitter and a control monitoring and analyzing unit A, wherein the air volume transmitter is respectively connected with a plurality of air volume flowmeters A in the big data air volume dynamic axial radial sensing device, and the control monitoring and analyzing unit A is used for controlling and monitoring the big data air volume dynamic axial radial sensing device. In order to accurately measure the air quantity or accurately position the average air speed value point location of data, the quantity of the air quantity transmitters is the same as that of the air quantity flow meter A in configuration and is respectively communicated with the air quantity flow meter A; 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 communicated with a positive pressure equalizing tube and a negative pressure equalizing tube, and then communicated with an air volume transmitter through the positive and negative equalizing tubes.
Similarly, based on a large data air volume dynamic axial-radial sensing device in the circular air duct, the present embodiment also provides an air volume measuring method for an inhomogeneous air field air duct, a method for determining a data average air velocity point location by using the above air volume measuring method for an inhomogeneous air field air duct, an air volume measuring system based on a data average air velocity point location air volume flowmeter, and a correcting system and method based on a large data air volume measuring system and a data average air velocity point location air volume flowmeter, and corresponding contents thereof participate in three corresponding parts as in the present embodiment.
The air flow meter in the big data air flow dynamic sensing device is an AFM-110 type plug-in multi-throat-diameter flow meter, and other Venturi type air flow meters such as single-throat-diameter pipes, double-throat-diameter pipes, multi-throat-diameter pipes and other air flow meters can be selected, and pitot tube air flow meters can also be selected.
If the large data air volume dynamic sensing device is installed in a dust air duct, a back-blowing device used for measuring a gas pipeline in Chinese patent CN111520611A can be adopted, so that the problem of inaccurate measurement of the air duct air volume caused by the fact that an air volume flow meter in the large data air volume dynamic sensing device is blocked by dust is solved.
Although the embodiment above describes the present invention by taking a large data air volume dynamic sensing device with a specific shaped air duct, such as a rectangular or circular design, as an example, it should be understood that, at the same time, the invention points are as follows: the large data air quantity dynamic sensing device presets the number of uniformly distributed preset point positions in an air duct and measures the omnibearing air speed in the cross section of the air duct, and monitors and analyzes massive large data to obtain the average air speed value of air duct data and corresponding point positions (of course, the basically uniformly distributed preset point positions in the air duct can be adopted, as long as the omnibearing air speed measurement can be carried out to find the average air speed value of the data and the corresponding point positions), and is provided with an air quantity measuring system and a method thereof, a correcting system and a method thereof, wherein the air quantity measuring system and the correcting system are formed by an air quantity flowmeter and the like; the purpose is as follows: the average wind speed value of the data is found by sampling and analyzing the big data, and the average wind speed value of the data is used for replacing the geometric average wind speed value in the prior art to accurately measure the wind speed of the wind channel; the function is as follows: the problem of inaccurate measurement of the air volume of the air duct in the prior art is solved, and the accuracy of measurement of the air volume of the air duct is greatly improved; the effect is as follows: the optimal air-coal ratio requirement of the coal-fired boiler is more accurately achieved, so that (1) the safety aspect: the running safety is greatly improved by improving the real-time accuracy of the measurement and the running of the air quantity of the boiler; (2) energy saving aspect: excessive air does not enter, so that the continuous smoke exhaust loss is reduced, and the combustion efficiency of the boiler is improved; (3) environmental protection: the excessive oxygen environment of the hearth is avoided, the generation of nitrogen oxides is prevented at the high temperature of 1200 ℃ in the central area of the hearth, and the atmospheric pollution is greatly reduced; (4) improving the flexible power generation capacity of the coal-fired power generator set: the oxygen is accurately supplied, so that the flexibility of the generator set is greatly improved, and extra electricity price subsidies are earned; although the above effects only illustrate the effect of the air duct of the coal-fired boiler adopting the technical scheme of the present invention, the technical scheme of the present invention is also feasible for other air ducts requiring accurate measurement of air volume. Those skilled in the art can make changes or modifications to the present invention without departing from the spirit and scope of the above-described invention, but all of them should fall within the protection scope of the technical solution of the present invention.
Claims (17)
1. A method for determining data average wind speed value point positions in a non-uniform wind field air channel cross section is characterized by comprising the following steps:
the control monitoring analysis unit A measures wind speed once in all directions and dynamically point by point at preset point position intervals by utilizing a wind flow meter in a big data wind speed dynamic sensing device arranged in the cross section of the air channel, converts the wind speed into an electric signal wind speed value by a wind speed transmitter, and stores the air channel load value and the air channel preset point position thereof in a sampling period and the measured electric signal wind speed value in a one-to-one correspondence manner; until the measured wind channel load value changes once and the wind speed measurement is finished;
the control monitoring analysis unit A respectively calculates the data flat wind speed value under the monitored load value: respectively accumulating all the wind speed values of the preset point positions under the monitored load value and dividing the wind speed values by the number of the preset point positions;
and adjusting the average wind speed error value of the set wind channel data to gradually increase from zero until at least one preset point position falls into the range of the average wind speed error value of the wind channel data under the monitored load value, wherein the preset point position is the point position of the average wind speed value of the data.
2. The method of claim 1, wherein there are at least two points of data mean wind speed values.
3. The method of claim 1 or 2, wherein the range of the monitored load value is 35-100%, and at least one of the monitored load values is selected from the range.
4. A method according to claim 3, characterized in that 7 different load values are selected evenly across the range of values of the monitored load value.
5. The method according to claim 1, 2 or 4, wherein the big data air volume dynamic sensing device comprises a sensing driving part and a driven air volume sensing part thereof, and a sensing driving part, wherein the sensing driving part comprises a transmission part for transmitting the sensing driving part and a driving part thereof; the driven air quantity sensing part comprises a dynamic air quantity sensing part and a rotating part which moves the dynamic air quantity sensing part back and forth on the sensing driving part; or the driven air quantity sensing part comprises a plurality of air quantity flow meters which are uniformly distributed on the sensing driving part.
6. The method according to claim 5, wherein the dynamic large data air volume sensing device is a dynamic large data air volume longitude and latitude sensing device or a dynamic large data air volume axial and radial sensing device.
7. The method according to claim 6, wherein the big data air volume dynamic longitude and latitude sensing device comprises a warp sensing driving part, a weft driven air volume sensing part thereof and a warp sensing driving part, and the warp sensing driving part comprises a vertical transmission part for warp transmission of the warp sensing driving part and a vertical driving part thereof.
8. The method of claim 7, wherein the latitudinal driven air flow sensing portion comprises a latitudinal dynamic air flow sensing element and a transverse rotating portion that traverses the air path across the longitudinal sensing active portion.
9. The method of claim 8, wherein said latitudinal dynamic air flow sensing element comprises a slider and an air flow meter attached thereto.
10. The method of claim 7 wherein said latitudinal slave air flow sensor comprises a plurality of air flow meters distributed about said longitudinal sensor master.
11. The method of claim 10, wherein the number of the air flow transmitters is the same as that of the air flow meter, and the air flow transmitters are respectively communicated with the sampling pipes.
12. The method of claim 9, 10 or 11, wherein the air flow meter is at least one of a pitot tube air flow meter and a venturi-type air flow meter.
13. The method of claim 12, wherein the venturi-type air flowmeter is at least one of a single throat, a dual throat, and a multi-throat.
14. The method according to claim 8 or 9, wherein the warp sensing active portion comprises a transverse portion and a vertical portion, the transverse portion body has an inverted C-shaped cross section, the vertical portion body is an elongated closed shell, and the transverse portion body and the vertical portion body are welded together to form an inverted T-shaped structure; the transverse rotating part comprises a left transverse fixed pulley and a right transverse fixed pulley which are respectively arranged at two ends of the transverse part body and partially exposed out of the top surface of the transverse part body, a left corner fixed pulley and a right corner fixed pulley which are respectively arranged at two inner sides of the lower end in the vertical part body, and an upper fixed pulley which is arranged at the inner side of the upper end of the vertical part body, and a transverse rotating steel wire and a transverse stepping motor which drive the upper fixed pulley are wound on the left transverse fixed pulley, the right corner fixed pulley, the left corner fixed pulley, the right corner fixed pulley and the upper fixed pulley; the latitudinal dynamic air quantity sensing piece is fixed at the lower end of the transverse part body and is arranged on the transverse rotating steel wire.
15. The method as claimed in claim 14, wherein the vertical transmission part comprises a vertical transmission part body, an upper fixing seat and a lower fixing seat which are respectively provided with a bearing in the upper end and the lower end of the vertical transmission part body, and a vertical screw rod fixed in the bearings of the upper fixing seat and the lower fixing seat; the upper end part of the transverse part body is also provided with a nut in threaded connection with the vertical screw rod, 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 rod axially.
16. The method according to claim 10 or 11, wherein the warp sensing active portion comprises a transverse portion and a vertical portion, the transverse portion body has an inverted C-shaped cross section, the vertical portion body is an elongated closed housing, and the transverse portion body and the vertical portion body are welded together to form an inverted T-shaped structure; the air flow meter is fixed at the lower end of the transverse part body.
17. The method as claimed in claim 16, wherein the vertical transmission part comprises a vertical transmission part body, an upper fixing seat and a lower fixing seat which are respectively provided with a bearing inside the upper end and the lower end of the vertical transmission part body, and a vertical screw rod fixed in the bearings of the upper fixing seat and the lower fixing seat; the upper end part of the transverse part body is also provided with a nut in threaded connection with the vertical screw rod, 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 rod axially.
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| CN202211280595.1A CN115711632A (en) | 2022-10-19 | 2022-10-19 | Method for determining data average wind speed value point position in non-uniform wind field air duct cross section |
| PCT/CN2023/110050 WO2024082760A1 (en) | 2022-10-19 | 2023-07-29 | Method for determining data average wind speed value point position in cross section of non-uniform wind field wind duct |
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| CN202211280595.1A CN115711632A (en) | 2022-10-19 | 2022-10-19 | Method for determining data average wind speed value point position in non-uniform wind field air duct cross section |
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