Method, device, system and equipment for measuring particle motion trail of fluidized bed

Abstract

The invention discloses a fluidized bed particle motion trail measuring method, device, system and equipment. The system comprises: a fluidized bed reactor; the plurality of sensors are arranged at a plurality of levels outside the fluidized bed reactor and are used for detecting the magnetic field intensity inside the fluidized bed reactor when the tracer particles inside the fluidized bed reactor pass through the plurality of levels, and the plurality of levels are a plurality of planes which are arranged along the axial direction of the fluidized bed reactor and are perpendicular to the axial direction; the data processing equipment is used for determining position information of the tracer particles in the corresponding hierarchies according to the magnetic field intensities, collected by the plurality of sensors, of the tracer particles when the tracer particles pass through the different hierarchies, and determining the motion trails of the tracer particles based on the position information of the tracer particles in the corresponding hierarchies; the motion trail of the tracer particles is used for representing the motion trail of fluidized particles moving in the fluidized bed reactor together with the tracer particles. According to the scheme provided by the invention, the tracking accuracy of the motion trail of the tracer particles is improved.

Description

Technical Field

[0001] The present application belongs to the field of fluidized bed measurement technology, and in particular, relates to a method, device, system and equipment for measuring the motion trajectory of particles in a fluidized bed. Background Art

[0002] In the process of nuclear fuel preparation, TRISO (Tri-structure Iso-tropic) particles are the first protective barrier for the inherent safety of high-temperature gas-cooled reactors. The coating layer of the coated particles can be prepared by a coating furnace using a fluidized bed-chemical vapor deposition method, wherein the coating furnace is a conical spouted fluidized bed reactor with a specially designed inlet structure. The movement and mixing behavior of the particles in the fluidized bed reactor are crucial to the uniformity of the preparation of the coating layer. The residence time of the particles in the spouting zone and the fountain zone will also affect the gas-solid contact efficiency in the fluidized bed reactor, and ultimately affect the preparation quality of the coated product. Therefore, the measurement method of particle movement behavior in a multiphase system, especially the measurement under dynamic conditions, is of great significance to the performance research of the fluidized bed reactor and the understanding of the fluid dynamics of the gas-solid system.

[0003] In the related art, the movement trajectory of particles is usually measured by visual observation or sensor detection. However, due to the obstruction of surrounding particles in the fluidized bed reactor, it is impossible to accurately track the movement of a single particle based on visual observation. Although the existing sensor detection method can obtain the movement speed and residence time of particles in the fluidized bed reactor, it cannot directly obtain the particle movement trajectory information. Moreover, the sensor is usually immersed in the interior of the fluidized bed reactor, which will interfere with the particle dynamics in the fluidized bed reactor, resulting in a low accuracy of the obtained particle movement trajectory. Summary of the invention

[0004] The embodiments of the present application provide a method, device, system and equipment for measuring the motion trajectory of particles in a fluidized bed, which can improve the accuracy of tracking the motion trajectory of tracer particles.

[0005] In a first aspect, an embodiment of the present application provides a system for measuring the motion trajectory of particles in a fluidized bed, the method comprising: a fluidized bed reactor; a plurality of sensors, deployed at a plurality of levels outside the fluidized bed reactor, for detecting the magnetic field strength inside the fluidized bed reactor when tracer particles inside the fluidized bed reactor pass through the plurality of levels, wherein the plurality of levels are a plurality of planes arranged along the axial direction of the fluidized bed reactor and perpendicular to the axial direction; a data processing device, for determining position information of the tracer particles in the corresponding level according to the magnetic field strength when the tracer particles pass through different levels collected by the plurality of sensors, and determining the motion trajectory of the tracer particles based on the position information of the tracer particles in the corresponding level, wherein the motion trajectory of the tracer particles is used to characterize the motion trajectory of fluidized particles that move in the fluidized bed reactor at the same time as the tracer particles.

[0006] In a second aspect, an embodiment of the present application provides a method for measuring the motion trajectory of fluidized bed particles, which is applied to a system for measuring the motion trajectory of fluidized bed particles as described in the first aspect, the method comprising: acquiring magnetic field strengths detected by multiple sensors; determining position information of tracer particles in each level based on the magnetic field strengths detected by sensors deployed at each level and position information of sensors at the corresponding level; and determining the motion trajectory of the tracer particles based on the position information of the tracer particles in each level.

[0007] In a third aspect, an embodiment of the present application provides a device for measuring the motion trajectory of fluidized bed particles, which is applied to the measurement system for the motion trajectory of fluidized bed particles as described in the first aspect, and the device includes: a field strength acquisition module, used to obtain the magnetic field strength detected by multiple sensors; a position determination module, used to determine the position information of the tracer particles in each level based on the magnetic field strength detected by the sensors deployed on each level and the position information of the sensors on the corresponding level; and a trajectory determination module, used to determine the motion trajectory of the tracer particles based on the position information of the tracer particles in each level.

[0008] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the method for measuring the motion trajectory of fluidized bed particles as described in the second aspect is implemented.

[0009] In a fifth aspect, an embodiment of the present application provides a computer storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, the method for measuring the motion trajectory of particles in a fluidized bed as described in the second aspect is implemented.

[0010] In a sixth aspect, an embodiment of the present application provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the method for measuring the motion trajectory of fluidized bed particles as described in the second aspect.

[0011] The present application adopts a method of deploying sensors outside the fluidized bed reactor and determining the movement trajectory of the tracer particles by detecting the field strength inside the fluidized bed reactor. After obtaining the magnetic field strength detected by multiple sensors, the position information of the tracer particles in each level is determined based on the magnetic field strength detected by the sensors deployed on each level and the position information of the sensors on the corresponding level. Then, the movement trajectory of the tracer particles is determined based on the position information of the tracer particles in each level.

[0012] It can be seen from the above content that in the present application, since the sensor is arranged outside the fluidized bed reactor, and the movement trajectory of the fluidized bed particles in the fluidized bed reactor is determined by detecting the magnetic field strength in the fluidized bed reactor through the sensor, the setting of the sensor will not interfere with the particle dynamics in the fluidized bed reactor, thereby realizing non-contact tracking of the movement trajectory of the tracer particles, avoiding the problem of interfering with the tracer particle dynamics in the fluidized bed reactor due to the setting of the sensor inside the fluidized bed reactor, and improving the accuracy of tracking the movement trajectory of the tracer particles.

[0013] In addition, in the present application, multiple sensors are deployed in a multi-layer manner outside the fluidized bed reactor. Therefore, in the process of tracking the tracer particles, the tracking range of the tracer particles is expanded to ensure that the tracer particles moving to any position in the fluidized bed reactor can be monitored, thereby avoiding the problem of incomplete monitoring caused by using a single-layer sensor to monitor the tracer particles in the related art, and further improving the accuracy of tracking the movement trajectory of the tracer particles. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0015] Figure 1 It is a schematic diagram of the structure of a system for measuring the motion trajectory of particles in a fluidized bed provided by an embodiment of the present application;

[0016] Figure 2 is a schematic flow chart of a method for measuring the motion trajectory of particles in a fluidized bed provided in another embodiment of the present application;

[0017] Figure 3 is a schematic diagram of trajectory measurement of tracer particles provided by another embodiment of the present application;

[0018] Figure 4 is a schematic diagram of trajectory measurement of tracer particles provided by another embodiment of the present application;

[0019] Figure 5 is a schematic diagram of the movement speed of tracer particles provided in another embodiment of the present application;

[0020] Figure 6 is a schematic diagram of the trajectory measurement results of tracer particles provided by another embodiment of the present application;

[0021] Figure 7 is a schematic structural diagram of a device for measuring the motion trajectory of particles in a fluidized bed provided in another embodiment of the present application;

[0022] Figure 8 It is a structural diagram of an electronic device provided by yet another embodiment of the present application.

[0023] The reference numerals in the specific implementation manner are as follows:

[0024] 10. Fluidized bed reactor; 20. Sensor; 30. Data processing equipment; 40. Tracer particles; 41. Fluidized bed particles. DETAILED DESCRIPTION

[0025] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.

[0026] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0027] Before describing the method, device, system and equipment for measuring the motion trajectory of fluidized bed particles provided in the present application, the background of the solution proposed in the present application is first explained.

[0028] TRISO coated particles are the first line of defense for the inherent safety of high-temperature gas-cooled reactors. The coating layer of the coated particles can be prepared by a coating furnace using a fluidized bed-chemical vapor deposition method, wherein the coating furnace is a conical spouted fluidized bed with a specially designed inlet structure. The movement and mixing behavior of the particles in the fluidized bed reactor are crucial to the uniformity of the preparation of the coating layer. The residence time of the particles in the spouting zone and the fountain zone in the fluidized bed reactor will also affect the gas-solid contact efficiency in the fluidized bed reactor, thereby affecting the preparation quality of the coated product. Therefore, the measurement method of particle movement behavior in a multiphase system, especially the measurement under dynamic conditions, is of great significance to the performance research of the fluidized bed reactor and the understanding of the fluid dynamics of the gas-solid system.

[0029] In the related art, the movement trajectory of particles is usually measured by visual observation or sensor detection.

[0030] For the method of visual observation, due to the obstruction of the particles around the fluidized bed reactor, it is impossible to accurately track the movement of a single particle based on visual observation. For the method of sensor detection, the sensor is usually immersed in the interior of the fluidized bed reactor. Although this method can obtain the movement speed and residence time of the particles in the fluidized bed reactor, it is impossible to directly obtain the particle movement trajectory information, and the sensor immersed in the fluidized bed reactor will also interfere with the particle dynamics in the bed. In addition, in the related art, non-immersion imaging methods such as X-ray scanning, ECT (Electrical Capacitance Tomography), MRI (Magnetic Resonance Imaging, Magnetic Resonance Imaging) / NMRI (Nuclear Magnetic Resonance Imaging, Nuclear Magnetic Resonance Imaging), computer-assisted radioactive particle tracking, PET (Positron Emission Tomography, Positron Emission Tomography) can also be used to eliminate potential flow field distortion, but only MRI / NMRI and PET can achieve the measurement of particle trajectory, but these two methods have the problems of expensive equipment, difficult operation, and radioactive risk.

[0031] In order to solve the problems existing in the related art, the embodiments of the present application provide a method, device, system and equipment for measuring the motion trajectory of fluidized bed particles. The following first introduces the measurement system for the motion trajectory of fluidized bed particles provided in the embodiments of the present application. Among them, the measurement system for the motion trajectory of fluidized bed particles provided in the present application can be applied to a high-density nuclear fuel coating system to achieve a further understanding of the gas-solid fluid dynamics in the high-density nuclear fuel coating system and process guidance optimization.

[0032] Figure 1 FIG. 1 is a schematic diagram showing a structure of a system for measuring the motion trajectory of particles in a fluidized bed provided by an embodiment of the present application. Figure 1 As shown, the measurement system includes a fluidized bed reactor 10 , a plurality of sensors 20 , and a data processing device 30 .

[0033] In one example, a fluidized bed reactor is a reaction vessel that uses gas or liquid to pass through a granular solid layer to put solid particles in a suspended motion state and conduct a gas-solid phase reaction process or a liquid-solid phase reaction process. The fluidized bed reactor can be a cylindrical container, for example, a cylindrical container with an inner diameter of 150 mm; the fluidized bed reactor can also be a three-dimensional conical spouted bed.

[0034] In one example, the multiple sensors in the present application are used to detect the magnetic field strength inside the fluidized bed reactor when the tracer particles inside the fluidized bed reactor pass through multiple levels. Among them, the multiple sensors can be magnetic field strength measurement sensors, including but not limited to Hall effect sensors, AMR (Anisotropic Magneto Resistance) sensors, etc. The multiple sensors can be sensors of the same type or different types, and users can choose according to actual needs.

[0035] The multiple sensors in the present application are deployed at multiple levels outside the fluidized bed reactor, wherein the multiple levels are multiple planes arranged along the axial direction of the fluidized bed reactor and perpendicular to the axial direction. Figure 1 In the present invention, four layers (such as Figure 1 In the example, N=1, N=2, N=3, N=4), multiple sensors are deployed at each level.

[0036] It is easy to notice that since the sensor is arranged outside the fluidized bed reactor and the motion trajectory of the fluidized bed particles in the fluidized bed reactor is determined by detecting the magnetic field strength in the fluidized bed reactor through the sensor, the setting of the sensor will not interfere with the particle dynamics in the fluidized bed reactor, thereby realizing non-contact tracking of the motion trajectory of the tracer particles, avoiding the problem of interfering with the dynamics of the tracer particles in the fluidized bed reactor due to the setting of the sensor inside the fluidized bed reactor, and improving the accuracy of tracking the motion trajectory of the tracer particles.

[0037] As an example, the sensors on each level are evenly distributed around the fluidized bed reactor to ensure that the effective detection range on each level can cover the corresponding level, so that no matter where the tracer particles are located in the level, they can be detected by the sensor, thereby expanding the geometric range of trajectory measurement and improving the accuracy of trajectory measurement.

[0038] As another embodiment, the same number of sensors are deployed on each level, for example, at least three sensors are deployed on each level, so as to ensure that the tracer particles can be accurately detected, providing a basis for accurately tracking the movement trajectory of the tracer particles.

[0039] In addition, users can also set different types and numbers of sensors at different levels according to the density, movement speed, etc. of the fluidized bed particles in the fluidized bed reactor or the requirements of measurement accuracy.

[0040] In addition, the layer distances between different layers can be the same or different. For example, the user can set some layers to be closer and some layers to be farther according to the measurement accuracy requirements, but it is necessary to ensure that the effective detection areas of sensors located at different layers overlap at least partially to ensure that the tracer particles moving to any position in the fluidized bed reactor can be monitored, thereby avoiding the problem of incomplete monitoring caused by using a single-layer sensor to monitor tracer particles in related technologies, and further improving the accuracy of tracking the movement trajectory of tracer particles. Among them, the effective detection area is used to characterize the detection range of multiple sensors to detect the magnetic field strength.

[0041] It should be noted that in the present application, the tracer particles include at least one of the following: optical tracer particles, magnetic tracer particles, and electric tracer particles. For different tracer particles, when tracking the trajectory of the tracer particles, corresponding types of sensors need to be used. For example, if the tracer particles are optical tracer particles, the positions of the tracer particles are determined by detecting optical signals by optical signal sensors; for another example, if the tracer particles are magnetic tracer particles, the positions of the tracer particles are determined by detecting magnetic field strength by magnetic field strength detection sensors; for another example, if the tracer particles are electric tracer particles, the positions of the tracer particles are determined by detecting the amplitude of electric signals by electric signal detection sensors, etc.

[0042] In one example, the tracer particles are magnetic particles having the same physical properties as the fluidized particles in the fluidized bed reactor. For example, the tracer particles can be rubidium magnet particles. Among them, rubidium magnets are the most powerful permanent magnets currently available and the most commonly used rare earth magnets, which can be used in a variety of application scenarios. Since rubidium magnet particles are highly magnetic, they have a strong magnetic field. Therefore, in the process of determining the motion trajectory of fluidized bed particles, rubidium magnet particles are used as tracer particles, and the sensor can accurately detect the tracer particles, thereby providing a guarantee for tracking the motion trajectory of fluidized bed particles.

[0043] In one example, if Figure 1 As shown, the fluidized bed particle motion trajectory measurement system also includes a data processing device 30, wherein the data processing device can be connected to each sensor via a high-frequency USB (Universal Serial Bus) interface to obtain the magnetic field strength collected by each sensor, and then analyze the magnetic field strength to determine the position of the tracer particles in the corresponding layer.

[0044] It should be noted that Figure 1 The data processing device in the embodiment may have a data acquisition function and a data analysis function, that is, Figure 1 The data processing device can collect the magnetic field strength detected by each sensor and perform data analysis on the collected magnetic field strength to determine the position of the tracer particles in each layer, and then determine the movement trajectory of the tracer particles. In practical applications, the data processing device can also be composed of two sub-devices, wherein one sub-device (e.g., a data acquisition device) has a data acquisition function, and the other sub-device (e.g., a computer capable of data analysis and position reconstruction) has a data analysis function.

[0045] Specifically, the data processing equipment determines the position information of the tracer particles in the corresponding layer according to the magnetic field strength collected by multiple sensors when the tracer particles pass through different layers, and determines the movement trajectory of the tracer particles based on the position information of the tracer particles in the corresponding layer, wherein the movement trajectory of the tracer particles is used to characterize the movement trajectory of the fluidized particles that move in the fluidized bed reactor at the same time as the tracer particles.

[0046] It should be noted that, in the present application, the motion trajectory of the tracer particles is determined by detecting the magnetic field strength of the tracer particles. This method does not require the sensor to contact the tracer particles, nor does it require the sensor to be deployed inside the fluidized bed reactor. Therefore, the sensor will not interfere with the dynamics of the particles in the fluidized bed reactor, thereby achieving non-contact tracking of the motion trajectory of the tracer particles, avoiding the problem of interference with the dynamics of the tracer particles in the fluidized bed reactor due to the installation of sensors inside the fluidized bed reactor, and improving the accuracy of tracking the motion trajectory of the tracer particles.

[0047] So far, the description of the structure of the fluidized bed particle motion trajectory measurement system provided by the present application has been completed. The following describes the measurement method applied to the above-mentioned fluidized bed particle motion trajectory measurement system.

[0048] Figure 2 FIG. 1 is a flow chart showing a method for measuring the motion trajectory of particles in a fluidized bed provided by an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0049] Step S201, obtaining magnetic field strengths detected by multiple sensors.

[0050] In one example, when the data processing device has a data collection function, the data processing device is connected to a plurality of sensors. After the sensor collects the magnetic field strength of the corresponding level, the data processing device can obtain the magnetic field strength detected by the sensor. In addition, the sensor can also transmit the magnetic field strength to the data processing device at a certain frequency.

[0051] In another example, when the data processing device does not have a data acquisition function, a data acquisition device with a data acquisition function is connected to multiple sensors. After the sensor acquires the magnetic field strength of the corresponding layer, the data acquisition device can obtain the magnetic field strength detected by the sensor and transmit the magnetic field strength to the data processing device. In addition, the data acquisition device can also transmit the magnetic field strength to the data processing device at a certain frequency.

[0052] Step S202 : determining the position information of the tracer particles in each level based on the magnetic field strength detected by the sensors deployed on each level and the position information of the sensors on the corresponding level.

[0053] In step S202, the distance between the tracer particle and the sensor probe is monotonically decreasing with the magnetic field strength detected by the sensor. Therefore, for a certain level, after determining the position of the sensor corresponding to the level and the magnetic field strength detected by each sensor, a multivariate quadratic equation system can be constructed, and then the multivariate quadratic equation system can be solved to obtain the position information of the tracer particle in the corresponding level.

[0054] Step S203 : determining the movement trajectory of the tracer particles based on the position information of the tracer particles in each level.

[0055] In step S203, after determining the position information of the tracer particles in each level through step S203, the data processing device can perform interpolation calculation on the position information of the tracer particles in each level, and then combine the acquisition time of the magnetic field intensity corresponding to the tracer particles collected by the sensor, so as to obtain the time series of the position information of the tracer particles. Then, based on the above time series, the ergodicity assumption of each state is performed to obtain the motion trajectory of the tracer particles.

[0056] It can be seen from the above content that in the present application, since the sensor is arranged outside the fluidized bed reactor, and the movement trajectory of the fluidized bed particles in the fluidized bed reactor is determined by detecting the magnetic field strength in the fluidized bed reactor through the sensor, the setting of the sensor will not interfere with the particle dynamics in the fluidized bed reactor, thereby realizing non-contact tracking of the movement trajectory of the tracer particles, avoiding the problem of interfering with the tracer particle dynamics in the fluidized bed reactor due to the setting of the sensor inside the fluidized bed reactor, and improving the accuracy of tracking the movement trajectory of the tracer particles.

[0057] In addition, in the present application, multiple sensors are deployed in a multi-layer manner outside the fluidized bed reactor. Therefore, in the process of tracking the tracer particles, the tracking range of the tracer particles is expanded to ensure that the tracer particles moving to any position in the fluidized bed reactor can be monitored, thereby avoiding the problem of incomplete monitoring caused by using a single-layer sensor to monitor the tracer particles in the related art, and further improving the accuracy of tracking the movement trajectory of the tracer particles.

[0058] It should be noted that based on Figure 2 Before following the steps in the experiment to track the trajectory of the tracer particles, you need to build an experimental platform. The construction of the experimental platform mainly includes the following steps:

[0059] Step S1, selecting tracer particles.

[0060] Since rubidium magnets are currently the most powerful permanent magnets and the most commonly used rare earth magnets, they can be used in a variety of application scenarios. Therefore, in this application, rubidium magnet particles are used as tracer particles.

[0061] It should be noted that in practical applications, tracer particles made of other materials may also be used as required.

[0062] Step S2, building an experimental device.

[0063] In step S2, a high-frequency, high-precision magnetic field intensity measurement sensor can be selected as a sensor for detecting the position of the tracer particles. There can be multiple sensors, and the multiple sensors are evenly distributed around the fluidized bed reactor in multiple levels. As an example, the fluidized bed reactor can be a cylindrical container, and the inner diameter of the cylindrical container can be 150 mm.

[0064] Step S3, making a fluidized bed model.

[0065] In this application, a material without magnetic induction is used as the raw material of the fluidized bed model, preferably an organic resin. Then, based on the size and structure of the fluidized bed reactor required for the study, a cold reactor used for particle fluidization is processed and manufactured, and a geometric model is established to obtain a fluidized bed model corresponding to the fluidized bed reactor.

[0066] Step S4, developing measurement and analysis software.

[0067] In step S4, the staff can write a software system based on the measurement principle of the magnetic particle trajectory to realize data collection and analysis in the particle tracing process.

[0068] Step S5, selecting fluidized bed particles.

[0069] In the present application, the physical properties of the tracer particles are kept consistent with those of the fluidized bed particles to minimize the interference of the tracer particles with the flow field in the fluidized bed reactor, thereby improving the accuracy of the particle motion trajectory and velocity measurement.

[0070] Step S6, measuring the movement trajectory of the tracer particles.

[0071] In step S6, the fluidized bed reactor is loaded with fluidized bed particles and tracer particles, such as Figure 1 As shown, a plurality of fluidized bed particles 41 and a tracer particle 40 are loaded into the fluidized bed reactor. Then, the sensor is connected to the signal collector, the amplifier and the digital-to-analog converter, and after starting the data processing device, the fluidizing gas is introduced into the bottom of the fluidized bed reactor. When the fluidizing gas reaches the fluidized state required for study, the data processing device starts to measure the movement trajectory and velocity of the tracer particles.

[0072] In order to improve the accuracy of the measurement of the motion trajectory of the tracer particles, after building the experimental platform, the data processing equipment also calibrates the magnetic field of the sensor.

[0073] Specifically, after acquiring the spatial position information of the multiple sensors, the data processing device calibrates the magnetic field strength data of the multiple sensors based on the earth's magnetic field corresponding to the spatial position information.

[0074] As an example, the data processing device can use the spatial coordinates of the sensor for the container with an inner diameter of 150 mm to determine the earth's magnetic field at the current sensor's location, which is the magnetic field calibration value corresponding to the current sensor. Each sensor has a corresponding magnetic field calibration value. Then, in the actual measurement process, after the current sensor collects the magnetic field strength, the data processing device calculates the difference between the magnetic field strength collected by the current sensor and the magnetic field calibration value, and obtains the calibrated magnetic field strength, and uses the calibrated magnetic field strength to determine the position information of the tracer particles in the layer corresponding to the current sensor.

[0075] In order to further improve the accuracy of the measurement of the motion trajectory of the tracer particles, after building the experimental platform, the data processing equipment also calibrates the weight coefficient of the sensor.

[0076] Specifically, after obtaining the preset target tracing position of the tracer particles in the current level, the data processing device determines the detection tracing position of the tracer particles in the current level according to the magnetic field strength detected by multiple sensors located at the current level; then, the weight coefficients of the multiple sensors are calibrated based on the target tracing position and the detection tracing position.

[0077] It should be noted that the above-mentioned current level is any one of the multiple levels. The above-mentioned weight coefficient is used to characterize the correlation between the magnetic field intensity and the particle distance, and the particle distance is the relative distance between the tracer particle and the corresponding sensor.

[0078] As an example, place the tracer particles at the target position in the current level, where the target position is a known position, that is, the position of the tracer particles in the current level is a known position. At this time, obtain the magnetic field strength detected by the current sensor corresponding to the current level, and then calculate the magnetic field strength of the current sensor according to the position information of the current sensor and the target position of the tracer particles, so as to obtain the calculated value of the magnetic field strength; then, compare the calculated value of the magnetic field strength with the detected value of the magnetic field strength (that is, the magnetic field strength detected by the current sensor), determine the ratio between the two, and perform square root calculation on the ratio to obtain the weight coefficient corresponding to the current sensor. Similarly, the calibration of all sensors corresponding to the current level and the calibration of all sensors corresponding to other levels can be completed.

[0079] It should be noted that the above magnetic field strength may be the magnetic field strength after magnetic field calibration.

[0080] Furthermore, after the sensor is calibrated, the trajectory of the tracer particles can be measured. As described above, the trajectory of the tracer particles is determined by the position of the tracer particles at each level. Therefore, before measuring the trajectory of the tracer particles, the level at which the tracer particles are currently located needs to be determined.

[0081] Specifically, in the process of calibrating the weight coefficients of multiple sensors, the calibrated magnetic field strength detected by multiple sensors in each level is obtained, and then the actual level where the tracer particles are currently located is determined based on the actual magnetic field strength currently detected by the multiple sensors and the calibrated magnetic field strength.

[0082] As an example, after detecting the magnetic field strength detected by the current sensor, the calibrated magnetic field strength corresponding to the current sensor is obtained, and the target magnetic field strength range is determined based on the calibrated magnetic field strength. For example, the upper limit value and lower limit value of the magnetic field strength corresponding to the calibrated magnetic field strength can be determined according to the position information of the current sensor and the position information of the tracer particles when calibrating the current sensor, and then the target magnetic field strength range can be determined according to the upper limit value and lower limit value of the magnetic field strength. After determining the target magnetic field strength range, if it is detected that the actual magnetic field strength corresponding to the current sensor is within the target magnetic field strength range, it is determined that the level at which the tracer particles are currently located is the level corresponding to the current sensor.

[0083] Furthermore, after determining the current level of the tracer particles, the data processing device can determine the position information of the tracer particles in the current level based on the magnetic field strength detected by the sensors deployed on the current level and the position information of the sensors on the current level.

[0084] Specifically, the data processing device constructs a set of multivariate equations based on the magnetic field strength detected by the sensors deployed at each level and the position information of the sensors at the corresponding level; then the set of multivariate equations is solved based on the least squares method and spatial interpolation method to obtain the position information of the tracer particles at each level.

[0085] As an example, take three sensors evenly deployed on each layer, such as Figure 3 In the schematic diagram of trajectory measurement of the tracer particles shown, the position of the sensor probe is used as the position of the three sensors, wherein the positions of the three sensors are known positions, namely (a1, b1, c1), (a2, b2, c2), and (a3, b3, c3); the position of the tracer particles in the fluidized bed reactor is represented by (x, y, z).

[0086] When the tracer particles pass through the effective detection area of ​​the sensor corresponding to a certain level, the three sensors can obtain three magnetic field strength data, namely M1, M2, and M3. Then, based on the magnetic field strength induction law, the magnetic field strength detected by each sensor is inversely proportional to the distance between the tracer particles and the sensor probe tip, that is, the magnetic field strength and the above distance satisfy the following formula:

[0087]

[0088] In the above formula (1), γ is the distance between the tracer particle and the probe tip of the sensor, α is the weight coefficient of the sensor, and M is the magnetic field strength detected by the sensor. As an example, Figure 3 The distances between the probe tips of the three sensors and the tracer particles are represented by r1, r2, and r3, respectively.

[0089] Since the positions of the three sensors at the same level are known (a1, b1, c1), (a2, b2, c2), and (a3, b3, c3), a set of three quadratic equations can be constructed based on the distance formula:

[0090]

[0091] After constructing the three-variable quadratic equation system (2), the least square method is combined with the spatial interpolation method to solve the equation system. The spatial interpolation method reduces the search range of the least square method and improves the search speed and accuracy.

[0092] After determining the position information of the tracer particles in each level, the data processing device can determine the movement trajectory of the tracer particles based on the position information of the tracer particles in each level.

[0093] Specifically, the data processing device determines the time series of the tracer particles passing through different levels according to the sampling frequencies of the multiple sensors; then, based on the time series and the position information of the tracer particles in each level, the movement trajectory of the tracer particles is determined.

[0094] It should be noted that the sampling frequency of the sensor represents the frequency of collecting the location of the tracer particles. By obtaining the magnetic field strength of the sensors deployed in different layers at different times, the time when the tracer particles pass through each layer can be determined, thereby obtaining a time series. Then, when the tracer particles pass through the corresponding layer, the magnetic field strength collected by the sensors deployed on the layer and the location information of the tracer particles in the layer can be combined to determine the movement trajectory of the tracer particles.

[0095] In one example, a data processing device determines the sampling position information of the tracer particles at each sampling time point in a time series, and then determines the movement speed of the tracer particles at each sampling time point based on each sampling time point and the sampling position information corresponding to each sampling time point; finally, the movement trajectory of the tracer particles is determined based on the sampling position information and the movement speed of the tracer particles at each sampling time point.

[0096] For example, in Figure 4 In the trajectory measurement diagram of the tracer particles shown in FIG, t1, t2, and t3 are three sampling time points, and (x1, y1, z1), (x2, y2, z2), and (x3, y3, z3) are the sampling position information corresponding to the three sampling time points. By correlating the above three sampling time points with the sampling position information, we can obtain Figure 4 The trajectory of the tracer particles.

[0097] In addition, the data processing device can also determine the movement speed of the tracer particles at each sampling time point based on the position-speed differential relationship. For example, after determining the position information of the tracer particles, the data processing device calculates the distance between the two position information and the time difference between the sampling time points corresponding to the two position information, and then calculates the ratio of the distance to the time difference to obtain the movement speed of the tracer particles at each sampling time point. Figure 5 As shown, Figure 5 The velocity of the tracer particles at different sampling time points is shown. Figure 5 In the figure, the moving speed of the tracer particles at time t1 is V1, the moving speed of the tracer particles at time t2 is V2, and the moving speed of the tracer particles at time t3 is V3.

[0098] After determining the movement speed of the tracer particles at each sampling time point and the position information of the tracer particles, the movement trajectory of the tracer particles can be determined. The movement trajectory of the tracer particles can be plotted in a three-dimensional coordinate system to obtain Figure 6 The schematic diagram of the measurement result of the track of the tracer particles is shown. It can be seen that in the present application, the movement track of the tracer particles not only includes the position information of the tracer particles, but also includes the movement speed of the tracer particles.

[0099] From the above content, it can be seen that the present application provides a non-invasive particle tracking technology that uses sensors deployed outside a fluidized bed reactor to obtain the motion trajectory of tracer particles. The fluidized bed particle motion trajectory measurement system corresponding to this solution has a simple structure, is easy to use, has reliable measurement results, and has a high degree of visualization. It can adapt to the measurement needs of various structural reactors and multiphase flow systems that are widely used in industrial applications.

[0100] The present application also provides a device for measuring the motion trajectory of particles in a fluidized bed, which is applied to the above-mentioned system for measuring the motion trajectory of particles in a fluidized bed. Figure 7 As shown, the device includes: a field strength acquisition module 701, a position determination module 702 and a trajectory determination module 703.

[0101] A field strength acquisition module 701 is used to acquire the magnetic field strength detected by multiple sensors;

[0102] A position determination module 702, for determining position information of the tracer particles in each level based on the magnetic field strength detected by the sensors deployed on each level and the position information of the sensors on the corresponding level;

[0103] The trajectory determination module 703 is used to determine the movement trajectory of the tracer particles based on the position information of the tracer particles in each layer.

[0104] It can be seen from the above content that in the present application, since the sensor is arranged outside the fluidized bed reactor, and the movement trajectory of the fluidized bed particles in the fluidized bed reactor is determined by detecting the magnetic field strength in the fluidized bed reactor through the sensor, the setting of the sensor will not interfere with the particle dynamics in the fluidized bed reactor, thereby realizing non-contact tracking of the movement trajectory of the tracer particles, avoiding the problem of interfering with the tracer particle dynamics in the fluidized bed reactor due to the setting of the sensor inside the fluidized bed reactor, and improving the accuracy of tracking the movement trajectory of the tracer particles.

[0105] In addition, in the present application, multiple sensors are deployed in a multi-layer manner outside the fluidized bed reactor. Therefore, in the process of tracking the tracer particles, the tracking range of the tracer particles is expanded to ensure that the tracer particles moving to any position in the fluidized bed reactor can be monitored, thereby avoiding the problem of incomplete monitoring caused by using a single-layer sensor to monitor the tracer particles in the related art, and further improving the accuracy of tracking the movement trajectory of the tracer particles.

[0106] As an example, the device for measuring the motion trajectory of fluidized bed particles further includes: a first position acquisition module and a magnetic field calibration module. The first position acquisition module is used to obtain the spatial position information of multiple sensors before obtaining the magnetic field strength detected by the multiple sensors; the magnetic field calibration module is used to calibrate the magnetic field strength data of the multiple sensors based on the earth magnetic field corresponding to the spatial position information.

[0107] As an example, the measuring device of the motion trajectory of fluidized bed particles also includes: a second position acquisition module, a first position determination module and a weight calibration module. The second position acquisition module is used to obtain the preset target tracing position of the tracer particles in the current level before obtaining the magnetic field strength detected by multiple sensors, wherein the current level is any one of the multiple levels; the first position determination module is used to determine the detection tracing position of the tracer particles in the current level according to the magnetic field strength detected by multiple sensors located at the current level; the weight calibration module is used to calibrate the weight coefficients of multiple sensors based on the target tracing position and the detection tracing position, wherein the weight coefficient is used to characterize the correlation between the magnetic field strength and the particle distance, and the particle distance is the relative distance between the tracer particles and the corresponding sensor.

[0108] As an example, the measuring device of the motion trajectory of fluidized bed particles also includes: a calibration field strength acquisition module and a level determination module. The calibration field strength acquisition module is used to obtain the calibration magnetic field strength detected by multiple sensors in each level during the calibration of the weight coefficients of multiple sensors after obtaining the magnetic field strength detected by multiple sensors; the level determination module is used to determine the actual level where the tracer particles are currently located based on the actual magnetic field strength currently detected by multiple sensors and the calibration magnetic field strength.

[0109] As an example, the position determination module includes: a construction module, a solution module and an interpolation module. The construction module is used to construct a multivariate equation system based on the magnetic field strength detected by the sensors deployed at each level and the position information of the sensors at the corresponding level; the solution module is used to solve the multivariate equation system based on the least squares method and the spatial interpolation method to obtain the position information of the tracer particles at each level.

[0110] As an example, the trajectory determination module includes: a time determination module and a first trajectory determination module. The time determination module is used to determine the time sequence of the tracer particles passing through different levels according to the sampling frequencies of the multiple sensors; the first trajectory determination module is used to determine the movement trajectory of the tracer particles based on the time sequence and the position information of the tracer particles in each level.

[0111] As an example, the first trajectory determination module includes: a second position determination module, a speed determination module and a second trajectory determination module. The second position determination module is used to determine the sampling position information of the tracer particles at each sampling time point in the time series; the speed determination module is used to determine the movement speed of the tracer particles at each sampling time point based on each sampling time point and the sampling position information corresponding to each sampling time point; the second trajectory determination module is used to determine the movement trajectory of the tracer particles based on the sampling position information and movement speed of the tracer particles at each sampling time point.

[0112] The device for measuring the motion trajectory of fluidized bed particles provided in the embodiment of the present application can implement each process implemented in the aforementioned method embodiment, and will not be described again here to avoid repetition.

[0113] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0114] Figure 8 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application is shown.

[0115] The electronic device may include a processor 801 and a memory 802 storing computer program instructions.

[0116] Specifically, the processor 801 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0117] The memory 802 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 802 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 802 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 802 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 802 is a non-volatile solid-state memory.

[0118] The memory may include read-only memory (ROM), random access memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical or other physical / tangible memory storage devices. Thus, typically, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to one aspect of the present application.

[0119] The processor 801 reads and executes the computer program instructions stored in the memory 802 to implement any one of the methods for measuring the motion trajectory of fluidized bed particles in the above embodiments.

[0120] In one example, the electronic device may further include a communication interface 803 and a bus 810. Figure 8 As shown, the processor 801, the memory 802, and the communication interface 803 are connected via a bus 810 and communicate with each other.

[0121] The communication interface 803 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0122] Bus 810 includes hardware, software or both, and the parts of electronic equipment are coupled to each other.For example, but not limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 810 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the application considers any suitable bus or interconnection.

[0123] In addition, in combination with the method for measuring the motion trajectory of fluidized bed particles in the above embodiments, the present application embodiment can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any one of the methods for measuring the motion trajectory of fluidized bed particles in the above embodiments is implemented.

[0124] In addition, in combination with the method for measuring the motion trajectory of fluidized bed particles in the above embodiments, the present application embodiment can provide a computer program product for implementation. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes and implements any of the methods for measuring the motion trajectory of fluidized bed particles in the above embodiments.

[0125] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0126] The functional modules shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. Programs or code segments can be stored in machine-readable media, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable media" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0127] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0128] The above reference is made to the flow chart and / or block diagram of the measurement method, device, system and equipment of the fluidized bed particle motion trajectory according to the embodiment of the present application, which describes various aspects of the present application. It should be understood that each box in the flow chart and / or block diagram and the combination of each box in the flow chart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the functions / actions specified in one or more boxes of the flow chart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flow chart and the combination of boxes in the block diagram and / or flow chart can also be implemented by dedicated hardware that performs a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0129] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

Claims

1. A system for measuring the motion trajectory of particles in a fluidized bed, characterized in that: include: Fluidized bed reactor; A plurality of sensors are deployed at a plurality of levels outside the fluidized bed reactor, and are used to detect the magnetic field strength inside the fluidized bed reactor when the tracer particles inside the fluidized bed reactor pass through the plurality of levels, wherein the plurality of levels are a plurality of planes arranged along the axial direction of the fluidized bed reactor and perpendicular to the axial direction; A data processing device is used to determine the position information of the tracer particles in the corresponding layer according to the magnetic field strength collected by the multiple sensors when the tracer particles pass through different layers, and determine the movement trajectory of the tracer particles based on the position information of the tracer particles in the corresponding layer, wherein the movement trajectory of the tracer particles is used to characterize the movement trajectory of fluidized particles moving in the fluidized bed reactor at the same time as the tracer particles.

2. The measuring system according to claim 1, characterized in that The sensors on each level are evenly distributed around the fluidized bed reactor, and / or the same number of sensors are deployed on each level.

3. The measuring system according to claim 1 or 2, characterized in that: The effective detection areas of the sensors located at different levels at least partially overlap, wherein the effective detection areas are used to represent the detection range of the multiple sensors for detecting magnetic field strength.

4. A method for measuring the motion trajectory of particles in a fluidized bed, characterized in that: In the system for measuring the motion trajectory of particles in a fluidized bed as claimed in any one of claims 1 to 3, the method comprises: Acquiring magnetic field strengths detected by the multiple sensors; Determine the position information of the tracer particles in each level based on the magnetic field strength detected by the sensors deployed on each level and the position information of the sensors on the corresponding level; The movement trajectory of the tracer particles is determined based on the position information of the tracer particles in each layer.

5. The measuring method according to claim 4, characterized in that: Before acquiring the magnetic field strengths detected by the multiple sensors, the method further includes: Acquiring spatial position information of the multiple sensors; The magnetic field strength data of the multiple sensors are calibrated based on the earth's magnetic field corresponding to the spatial position information.

6. The measuring method according to claim 4, characterized in that: Before acquiring the magnetic field strengths detected by the multiple sensors, the method further includes: Acquiring a preset target tracing position of the tracer particle in a current level, wherein the current level is any one of the multiple levels; Determining a detection tracing position of the tracing particle in the current level according to the magnetic field strength detected by a plurality of sensors located at the current level; The weight coefficients of the multiple sensors are calibrated based on the target tracer position and the detection tracer position, wherein the weight coefficients are used to characterize the correlation between the magnetic field strength and the particle distance, and the particle distance is the relative distance between the tracer particle and the corresponding sensor.

7. The measuring method according to claim 6, characterized in that: After acquiring the magnetic field strengths detected by the multiple sensors, the method further includes: Acquiring, during a process of calibrating weight coefficients of the multiple sensors, calibrated magnetic field strengths detected by the multiple sensors at each level; The actual level at which the tracer particles are currently located is determined according to the actual magnetic field strength currently detected by the multiple sensors and the calibrated magnetic field strength.

8. The measuring method according to claim 6, characterized in that: Based on the magnetic field strength detected by the sensor deployed on each level and the position information of the sensor on the corresponding level, determining the position information of the tracer particles in each level, including: Constructing a multivariate equation group based on the magnetic field strength detected by the sensors deployed on each level and the position information of the sensors on the corresponding level; The multivariate equations are solved based on the least square method and the spatial interpolation method to obtain the position information of the tracer particles in each level.

9. The measuring method according to claim 4, characterized in that: Determining the movement trajectory of the tracer particles based on the position information of the tracer particles in each level includes: Determining the time series of the tracer particles passing through different levels according to the sampling frequencies of the multiple sensors; Based on the time series and the position information of the tracer particles in each layer, the movement trajectory of the tracer particles is determined.

10. The measuring method according to claim 9, characterized in that: Determining the movement trajectory of the tracer particles based on the time series and the position information of the tracer particles in each level includes: Determine sampling position information of the tracer particles at each sampling time point of the time series; Determine the movement speed of the tracer particles at each sampling time point based on each sampling time point and the sampling position information corresponding to each sampling time point; The movement trajectory of the tracer particles is determined based on the sampling position information and the movement speed of the tracer particles at each sampling time point.

11. A device for measuring the motion trajectory of particles in a fluidized bed, characterized in that: In the system for measuring the motion trajectory of particles in a fluidized bed as claimed in any one of claims 1 to 3, the device comprises: A field strength acquisition module, used to acquire the magnetic field strength detected by the multiple sensors; A position determination module, used to determine the position information of the tracer particles in each level based on the magnetic field strength detected by the sensors deployed on each level and the position information of the sensors on the corresponding level; The trajectory determination module is used to determine the movement trajectory of the tracer particles based on the position information of the tracer particles in each level.

12. An electronic device, characterized in that: The electronic device comprises: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the method for measuring the motion trajectory of fluidized bed particles as described in any one of claims 4 to 10 is implemented.

13. A computer-readable storage medium, characterized in that: Computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by the processor, the method for measuring the motion trajectory of fluidized bed particles as described in any one of claims 4 to 10 is implemented.

14. A computer program product, characterized in that When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the method for measuring the motion trajectory of fluidized bed particles as described in any one of claims 4 to 10.

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