CN210051451U - Temperature field reconstruction system of acoustic wave propagation path self-adaptive networking - Google Patents
Temperature field reconstruction system of acoustic wave propagation path self-adaptive networking Download PDFInfo
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- CN210051451U CN210051451U CN201920185922.2U CN201920185922U CN210051451U CN 210051451 U CN210051451 U CN 210051451U CN 201920185922 U CN201920185922 U CN 201920185922U CN 210051451 U CN210051451 U CN 210051451U
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Abstract
The utility model relates to a field is rebuild to the temperature field, is a system is rebuild to temperature field of sound wave propagation path self-adaptation network deployment, has solved among the prior art and can't the inaccurate problem of measurement that the route sparsely caused appears to the part of paying attention to needs key. The utility model is arranged in a field to be measured and comprises two groups of sound wave transducer groups; the control device is provided with an acoustic wave transducer; secondarily reconstructing a temperature field; and reconstructing a temperature field after planning and replanning the acoustic wave transducer. The utility model discloses a setting can be called respectively acquiescence start-up group and self-adaptation start-up group acoustic wave transducer on the basis of going on rebuilding to the temperature field in the field of awaiting measuring, carries out the rebuilding of temperature field to the subregion that needs key rebuilding, and carries out the line planning of subregion through two sets of acoustic wave transducer groups, has solved among the prior art because of the unsafe problem of measurement that the route is sparse to cause.
Description
Technical Field
The utility model relates to a field is rebuild to the temperature field, especially indicates a system is rebuild to temperature field of sound wave propagation path self-adaptation network deployment.
Background
In the coal-fired boiler of the existing thermal power station, the measurement of the temperature field in the boiler has important significance for researching the combustion condition in the boiler, and the transient change of the temperature field directly reflects the combustion condition in the boiler. Due to the characteristics of large size, severe working environment, high flame temperature in the boiler and the like of the power station boiler, the traditional contact type measurement scheme is limited by the high temperature resistance of element materials, can only realize short-time measurement and cannot carry out online monitoring.
The principle of acoustic temperature measurement is that on the basis of obtaining the flight time of sound waves through measurement, numerical solution is carried out by using a corresponding reconstruction algorithm, and the temperature distribution information of a measured area is reversely deduced, wherein the reconstruction precision of the temperature of a certain area is directly related to the number and the precision of sound wave propagation paths passing through the area. Because the position of the furnace cavity capable of being perforated is limited, and the current sound wave flight time measurement generally adopts a cross-correlation method, the sampling speed is slow, and excessive paths inevitably drag the running speed of the system, so that the general sound wave measurement paths cannot be excessive.
In a traditional acoustic temperature field reconstruction method, an ultrasonic path is generally fixed, and the limited path number is difficult to ensure that the path number of each part of a measured area is sufficiently dense. When the region with violent furnace temperature gradient change appears in the region with sparse path number, the reconstruction precision is inevitably not high, and the inaccuracy of temperature field measurement directly influences the operation of operators, thereby influencing the economical efficiency and the safety of boiler operation.
The method aims at solving the problem that in the reconstruction of the temperature field in the hearth, the sound wave transmission path in the traditional acoustic temperature field reconstruction method is fixed, and the measurement is inaccurate when a part needing important attention appears in a path sparse region.
SUMMERY OF THE UTILITY MODEL
The utility model provides a temperature field of sound wave propagation path self-adaptation network deployment rebuilds system has solved among the prior art and can't appear the unsafe problem of measurement that the route sparsely caused to the part of paying attention to needs key.
The technical scheme of the utility model is realized like this: a temperature field reconstruction system of an acoustic wave propagation path self-adaptive networking is arranged in a field to be measured and comprises two acoustic wave transducer groups which can be respectively called; the control device comprises a temperature field reconstruction module for reconstructing a temperature field, an operation module for calculating and analyzing the reconstructed temperature field, and a circuit planning module for controlling the calling of the acoustic wave transducer; and the display module is used for displaying the temperature field in real time.
Further, the acoustic wave transducer group comprises a default start-up group and an adaptive start-up group; the default starting group and the self-adaptive starting group are arranged in the same cross section of the field to be detected and are respectively arranged in central symmetry.
Furthermore, the control device is a microprocessor, and the display module is a liquid crystal display screen.
The utility model also discloses a temperature field reconstruction method of sound wave propagation path self-adaptation network deployment, including following step: a, setting an acoustic wave transducer: two groups of acoustic wave transducers which are respectively connected with the control device are arranged on the same cross section and are respectively arranged in central symmetry; b, secondary reconstruction of a temperature field: dividing a temperature field to be measured into a limited number of sub-regions, obtaining a central point temperature value of each sub-region through a corresponding algorithm, and then reconstructing the whole temperature field by using an interpolation algorithm; c acoustic wave transducer planning: analyzing the secondary information of the reconstructed temperature field through a control device, and planning a line, namely planning an acoustic wave transducer; d, rebuilding a temperature field after replanning: and reconstructing the temperature field of the field to be measured after the path is re-planned.
Further, the step C is specifically: c1, comparing the temperature fields of the sub-regions reconstructed by the secondary temperature field obtained in the step B, and calculating the change rate of each sub-region; c2 sets a rate of change threshold and increases the route plan for a sub-area when the rate of change for that area exceeds the threshold.
Additionally, C3: and when the change of each sub-area does not exceed the threshold, sequencing the change rate of each area, and planning the route of the sub-area of which the change rate is 30 percent at the top and the adjustment area reaches 40 percent.
Further, the two groups of acoustic wave transducers in the step A are a default starting group for initial scanning and an adaptive starting group for planning a line.
Further, the reconstruction temperature field in step B is the temperature field reconstruction performed by default activating the group of acoustic wave transducers.
Further, the route planning in step C2 is a route planning for scanning the sub-area by invoking the adaptive-enabled group acoustic wave transducer.
The utility model provides a temperature field of sound wave propagation path self-adaptation network deployment rebuilds system, can be respectively called through the setting acquiescence start group and self-adaptation start group sound wave transducer, on the basis of going on rebuilding to the temperature field in the field of awaiting measuring, carry out the rebuilding of temperature field to the subregion that needs key rebuild, and carry out the line planning of subregion through two sets of sound wave transducer groups, solved among the prior art because of the unsafe problem of measurement that the route is sparse to cause.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1: a default path schematic;
FIG. 2: adding a path diagram of a regulating area;
FIG. 3: adding two adjusting area path schematic diagrams;
FIG. 4: the flow chart of the utility model;
FIG. 5: unimodal temperature field model.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
The utility model discloses a temperature field reconstruction system of a sound wave propagation path self-adaptive networking, which is arranged in a field to be measured and comprises two groups of sound wave transducer groups which can be respectively called; the control device comprises a temperature field reconstruction module for reconstructing a temperature field, an operation module for calculating and analyzing the reconstructed temperature field, and a circuit planning module for controlling the calling of the acoustic wave transducer; and the display module is used for displaying the temperature field in real time. Further, the acoustic wave transducer group comprises a default start-up group and an adaptive start-up group; the default starting group and the self-adaptive starting group are arranged in the same cross section of the field to be detected and are respectively arranged in central symmetry. Furthermore, the control device is a microprocessor, and the display module is a liquid crystal display screen.
The utility model also discloses a temperature field reconstruction method of sound wave propagation path self-adaptation network deployment, including following step: a, setting an acoustic wave transducer: because the position of the area with severe temperature gradient change can not be predicted in advance during actual work, two groups of acoustic wave transducers which are respectively connected with the control device are arranged, and the two groups of acoustic wave transducers are arranged on the same cross section and are respectively arranged in central symmetry; b, secondary reconstruction of a temperature field: dividing a temperature field to be measured into a limited number of sub-regions, obtaining a central point temperature value of each sub-region through a corresponding algorithm, and then reconstructing the whole temperature field by using an interpolation algorithm; c acoustic wave transducer planning: analyzing the secondary information of the reconstructed temperature field through a control device, and planning a line, namely planning an acoustic wave transducer; d, rebuilding a temperature field after replanning: and reconstructing the temperature field of the field to be measured after the path is re-planned.
Further, the step C is specifically: c1, comparing the temperature fields of the sub-regions reconstructed by the secondary temperature field obtained in the step B, and calculating the change rate of each sub-region, namely temperature gradient comparison; c2 sets a rate of change threshold and increases the route plan for a sub-area when the rate of change for that area exceeds the threshold.
Additionally, C3: and when the change of each sub-area does not exceed the threshold, sequencing the change rate of each area, and planning the route of the sub-area of which the change rate is 30 percent at the top and the adjustment area reaches 40 percent.
Further, the two groups of acoustic wave transducers in the step A are a default starting group for initial scanning and an adaptive starting group for planning a line.
Further, the reconstruction temperature field in step B is the temperature field reconstruction performed by default activating the group of acoustic wave transducers.
Further, the route planning in step C2 is a route planning for scanning the sub-area by invoking the adaptive-enabled group acoustic wave transducer.
When the temperature field is reconstructed by the acoustic method, the temperature of each sub-region needs to be reconstructed, and then the whole region is reconstructed by an interpolation algorithm on the basis of the temperature of each sub-region. The temperature value of each sub-area can be used as an important basis for path planning. In order to adjust the path, the area to be measured is divided into 4 adjustment areas with equal size, and the area division is shown in fig. 1-3. Wherein, the TR2, TR4, TR6 and TR8 ultrasonic transducers are all positioned at the middle point of each side, and the number of paths of the corresponding area is increased according to the requirement.
As shown in fig. 4, the flow chart of the present invention is shown, taking the measurement of the boiler temperature field as an example, and the present scheme has the following steps during reconstruction:
(1) and after the boiler starts to operate, reconstructing the temperature field of the whole area by using the default path of the default starting group, and storing the temperature values of the sub-temperature areas obtained in the reconstruction.
And performing second reconstruction by using the default path to obtain a reconstruction result.
(2) And calculating by using the temperatures of the two reconstructed sub-regions, calculating the change rate of each sub-region of the two reconstructions, and planning the path according to the change rate.
(3) From the fourth measurement, the adjustment region of this time is compared with the previous time, and the path of the adjustment region which is not needed at this time is closed.
(4) And (4) starting to measure and reconstruct a temperature field image next time by using the new path, and repeating the steps 3 and 4.
The judgment criteria for the increase and decrease of the adjustment area path are as follows:
(1) and setting a threshold value of the change rate, and when the change rate of the sub-temperature area of a certain adjusting area exceeds the threshold value, considering that the change rate is too fast, and increasing the number of sound wave propagation paths in the area.
(2) If the change rate of the sub-temperature zones does not exceed the threshold, sequencing the change rates of the sub-temperature zones from high to low, checking the number of the sub-zones with the change rates positioned at the first 30 percent in the four adjusting zones, and determining whether to increase the sound wave transmission paths of the zones according to the number:
the core of the known acoustic reconstruction is to solve the matrix Ax ═ B, where x is the central point temperature of the sub-temperature zone, and after x is solved, the temperature of the whole measured area can be obtained by using an interpolation algorithm. Let us assume that the measured area is divided into 10 × 10, i.e. 100 sub-temperature zones, where x is a matrix of 100 × 1, and the temperature at the center point of the sub-temperature zone is stored. Subtracting x in two reconstructions, sorting the result according to the speed of change, taking out the first 30 data, and then looking at the distribution of the 30 data in 4 adjustment regions, if 30 × 0.4 is exceeded, 12 data are in the same region, and the region is considered to need to increase the path.
1) The number of the adjusting areas in the sub-area exceeds 40 percent, namely the area is considered as a key area, and the number of the sound wave propagation paths in the area is increased. As shown in fig. 2, the solid path is a default path, and the dashed path is an added path of the area.
2) If both areas exceed 40%, the number of measurement paths for both areas is increased simultaneously, in the manner shown in fig. 3.
3) If no area meets the above conditions and no sub-temperature area exceeds the set threshold, the boiler temperature gradient is determined to be steadily increased and the path is unchanged.
As shown in fig. 5, an example of a 12m by 12m unimodal symmetric temperature field is represented by 900+900 x sin ((pi x)/12). The simulation experiment does not consider the time consumption of measuring the sound wave flight time in actual work, and a synchronous iterative reconstruction algorithm (SIRT) is used in the reconstruction algorithm. The SIRT algorithm is a common algorithm in the field of medical CT field reconstruction, has strong anti-interference capability and is suitable for reconstructing a hearth temperature field with complex combustion conditions.
In practical operation, the transducer group generally operates by using a scanning method, that is, after one path is measured, the next group of paths is started to be measured.
When the default path, i.e. 8 transducers are started, the total wave flight time of one round of 12 paths is measured to be 0.230s, the time required by the reconstruction algorithm is 1.605s, and the total time is 1.895 s.
When the temperature of one area is abnormal and the number of paths is increased to 18, the total sound wave flying time is 0.318s, the time required by the reconstruction algorithm is 1.982s, and the total time is 2.30 s.
When all 16 transducers were activated, the total fly-through time for a round of 28 paths was measured to be 0.444s, the time required for the reconstruction algorithm was 2.295s, and the total time was 2.739 s.
Namely, the total time of the three is respectively 1.895s, 2.30s and 2.739s, and the system efficiency is improved by 44.53 percent at most. Considering that in actual work, one path generally needs to be measured for multiple times to reduce measurement errors, and the actual total sound wave flight time of the path takes longer. Therefore, if the default paths are arranged too much, the working efficiency of the system is seriously affected, and the real-time performance of the system is reduced. Therefore, the method has high practicability for the path adaptive adjustment according to the requirement.
The utility model provides a temperature field of sound wave propagation path self-adaptation network deployment rebuilds system, through setting up acquiescence starting group and the self-adaptation starting group sound wave transducer that can call respectively, on the basis of rebuilding the temperature field of the field of awaiting measuring, carry out the rebuilding of temperature field to the subregion that needs key rebuilding, and carry out the line planning of subregion through two sets of sound wave transducer groups, solved among the prior art because of the inaccurate problem of measurement that the route is sparse causes; the measurement path is adjusted in real time, the measurement precision of a region with severe temperature gradient change in the hearth in the reconstruction of the hearth temperature field by the acoustic method is improved on the basis of avoiding a large number of sound wave propagation paths, a reliable basis is provided for the operation of operators, a furnace temperature signal is provided for an automation device controlled by thermal engineering, and the conditions that the safe operation of a boiler is influenced by uneven combustion, over-temperature of the hearth and the like are avoided.
Of course, without departing from the spirit and essence of the present invention, those skilled in the art should be able to make various corresponding changes and modifications according to the present invention, and these corresponding changes and modifications should fall within the scope of the appended claims.
Claims (3)
1. The utility model provides a temperature field of sound wave propagation path self-adaptation network deployment system of rebuilding, sets up in the field that awaits measuring, its characterized in that: the method comprises the following steps:
two groups of acoustic wave transducer groups which can be called respectively;
the control device comprises a temperature field reconstruction module for reconstructing a temperature field, an operation module for calculating and analyzing the reconstructed temperature field, and a circuit planning module for controlling the calling of the acoustic wave transducer;
the display module displays the temperature field in real time;
and the temperature field reconstruction module of the control device is connected with the sound wave transducer group and the display module.
2. The system for reconstructing the temperature field of an acoustic propagation path adaptive networking according to claim 1, wherein: the sound wave transducer group comprises a default starting group and an adaptive starting group; the default starting group and the self-adaptive starting group are arranged in the same cross section of the field to be detected and are respectively arranged in central symmetry.
3. The system for reconstructing the temperature field of an acoustic propagation path adaptive networking according to claim 2, wherein: the control device is a microprocessor, and the display module is a liquid crystal display screen.
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| WO2021217407A1 (en) * | 2020-04-28 | 2021-11-04 | 华为技术有限公司 | Temperature measurement system and method |
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| WO2021217407A1 (en) * | 2020-04-28 | 2021-11-04 | 华为技术有限公司 | Temperature measurement system and method |
| CN114127526A (en) * | 2020-04-28 | 2022-03-01 | 华为技术有限公司 | Temperature measurement system and method |
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