Determination of fractional particle share in recovery boiler flue gases.

Abstract

The present invention enables determining one or more fractional particle group shares in the flue gas of a recovery boiler (110) based on optical information obtained from the flue gas sample. A processor (202) is used to read (301) a digital frame having an area under consideration representing at least a portion of the surface of a sampler (120) held in the flue gas stream of the recovery boiler. Particle group areas matching color characteristics of particles contained in the flue gas are determined (302) from the area under consideration. A combined area of ​​the identified particle group areas is determined (304), and a share of the combined area is determined (305) as the fractional particle group share of the particle group from the total area.

Description

[Technical field]

[0001] The present invention relates to determining one or more proportional particle group share(s) in a recovery boiler flue gas based on optical information obtained from a flue gas sample. [Background technology]

[0002] In principle, recovery boilers have two main functions: chemical recovery and recovery of the heat of combustion produced during the process as steam and electrical energy.

[0003] During recovery boiler combustion, flue gases are produced, the heat of which is used for steam production. These flue gases generally contain particles (among others so-called carry-over particles) that originate from the black liquor during the furnace combustion process. As these particles are very light, they are easily drawn into the powerful flue gas flow. The carry-over particles are generated when the heating surface is T I5 ~T 70 These particles are particularly difficult to handle, as they are sticky when they are in the temperature range where 15-70% of the ash is in a liquid state. A particularly strong entrainment of these particles into the flue gas stream is caused by the so-called chimney effect, where the boiler draught changes to favor certain furnace regions. For example, in the middle of the furnace, the flow rate increases, which causes particles of suitable size and molten droplets of fuel to be entrained into the flue gas stream and can form a carryover together with the residual ash of normally combusted fuel.

[0004] Carry-over particles cause fouling and corrosion of heating surfaces, both of which significantly reduce the availability of the recovery boiler, as well as the recovery of recyclable chemicals and steam production.

[0005] For example, people have sought to monitor carryover using spark counters that count still-burning flue gas particles detected in the detection area of ​​a probe. Such devices only record the portion of carryover where the combustion of coke is still ongoing. They cannot record the portion of carryover that is no longer burning but is still in a reduced form.

[0006] The prior art also includes US Pat. No. 8,584,540 B2, which describes the use of a sweeper to measure the condition of a recovery boiler furnace. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] U.S. Patent No. 8,584,540B2 Summary of the Invention

[0008] According to a first aspect of the present invention, there is provided a method for determining one or more fractional particle share in a flue gas of a recovery boiler, the method comprising: reading, with a processor, a digital frame having an area under consideration that represents at least a portion of a surface of the sampler that was retained in the flue gas stream of the recovery boiler for a predetermined period of time; identifying, with a processor, one or more particle population regions from the region under consideration that match a predetermined color characteristic of at least one particle population contained in the recovery boiler flue gas; determining, using a processor, a combined area of ​​one or more of the identified particle population regions; and determining, using a processor, a share of the combined area determined from a total area of ​​interest as a proportional particle population share of the particle population. has.

[0009] According to a second aspect of the present invention there is provided a computer program product comprising at least one computer readable storage medium having commands which, when executed by one or more processors, cause a computing device to perform the method according to the first aspect.

[0010] According to a third aspect of the present invention, there is provided a method for controlling a computer system comprising: and at least one memory having computer program code, the at least one memory and the computer program code being configured to be implemented in the computer device using at least one processor, reading a digital frame having an area under consideration representing at least a portion of a surface of a sampler that was retained in the flue gas stream of the recovery boiler for a predetermined period of time; identifying, from the region under consideration, one or more particle population regions that correspond to a predetermined color characteristic of at least one particle population contained in the flue gas of the recovery boiler; determining a bonding region of the identified one or more particle groups; determining a share of the determined bonded area from a given total area as a proportional particle group share of the particle group; A computing device is presented that is configured to cause

[0011] According to a fourth aspect of the present invention, a sampler for taking a sample from the recovery boiler flue gas stream; means for generating a digital frame from a flue gas sample taken with a sampler from a recovery boiler; Features of computer devices and A system is presented having:

[0012] In one application of the present invention, the identification of particle population regions, the determination of combined regions, and the determination of the share of combined regions from the total region are performed for at least two different particle populations contained in the flue gas of a recovery boiler.

[0013] In one application of the present invention, the predetermined gamut comprises the gamut of the region under consideration.

[0014] In one application of the present invention, the predetermined total area comprises the total area of ​​the bonded regions of said at least two different particle groups.

[0015] In one application of the invention, a processor is used to determine that at least one possible overlap region of particle group regions belongs to one of the particle group regions based on darkness of the possible overlap region.

[0016] In one application of the invention, the particle population comprises one of sodium sulfite particles and non-combustible black liquor particles, the over-share of which most clearly indicates deviations from optimum combustion conditions.

[0017] In one application of the present invention, the color characteristic corresponding to the sodium sulfite particles has a reddish hue and the color characteristic corresponding to the non-combustible black liquor particles has a black hue.

[0018] In one application of the present invention, the color characteristics corresponding to the sodium sulfite particles have a Cr component in the YCbCr color space, and the color characteristics corresponding to the non-combustible black liquor particles have a Y component in the YCbCr color space. Conversion from the RGB color space to the YCbCr or similar color space allows for more reliable and efficient identification of the color characteristics.

[0019] In one application of the present invention, the identification of particle groups regions comprises thresholding of corresponding color characteristics.

[0020] In one application of the present invention, the determined proportional particle share of the particles is used to control a recovery boiler.

[0021] In one application of the invention, the sampler is adapted to take samples from at least two different distances from a wall of the recovery boiler.

[0022] Using the solutions according to the invention, it is possible to achieve a much faster response to combustion disturbances than before and a measurement method for optimizing the combustion process in the combustion chamber based on flue gas measurements. At least some of the solutions according to the invention make it possible to use the measurement results for controlling the combustion and / or for controlling the boiler sweep.

[0023] At least some solutions according to the invention allow the determination of one or more fractional particle group shares from the flue gas of a recovery boiler based on optical information obtained from the flue gas sample.

[0024] At least some solutions according to the invention allow for the calculation of proportion shares for at least sodium sulfite particles, non-combustible black liquor particles and / or sodium sulfate particles. At least some solutions according to the invention allow for the calculation of these proportion shares from determined areas of a digital image taken from a flue gas sample. At least some solutions according to the invention allow for an automatic calculation of these proportion shares. In such a case, no visual comparison is necessary to be performed against images in a database, for example, in order to calculate these proportion shares.

[0025] At least some solutions according to the invention allow for taking into account the measurement history, i.e. for comparison with previous measurements, for example at least some solutions according to the invention allow for time stamped results to be stored and compared with other flue gas samples or any other data collected from the recovery boiler.

[0026] At least some solutions according to the invention allow short measurement times, which can be, for example, up to one minute. Moreover, the predefined measurement times allow results that are sufficiently comparable in themselves in comparison with the measurement history.

[0027] At least some of the solutions according to the invention make it possible to obtain lateral information of the recovery boiler, for example from the relative particle population share at several different distances from the front wall, rear wall and / or side wall of the recovery boiler.

[0028] Furthermore, at least some of the solutions according to the invention make it possible to reproduce and automate flue gas sampling, which allows for high monitoring frequency and rapid testing, for example if the measured proportional particle population share deviates substantially from the expected value. Preferably, a normal visible range colour camera can be used, as this gives results with sufficiently good correlation.

[0029] The invention will now be described by way of the accompanying application examples with reference to the accompanying drawings, in which: FIG. [Brief description of the drawings]

[0030] [Figure 1A] FIG. 1 illustrates a schematic diagram of a system according to the present invention. [Figure 1B] 1 is a schematic diagram illustrating a recovery boiler according to the present invention; [Diagram 2] FIG. 1 illustrates a schematic diagram of a device according to the invention. [Diagram 3] FIG. 2 illustrates a schematic diagram of the method according to the invention. [Figure 4A] FIG. 2 illustrates an unanalyzed digital frame according to the present invention. [Figure 4B] FIG. 2 illustrates an analyzed digital frame according to the present invention. [Figure 5A] FIG. 2 illustrates a binary mask obtained by thresholding, corresponding to sodium sulfite particles in the region under consideration, according to the present invention. [Figure 5B] FIG. 2 illustrates a binary mask obtained by thresholding, corresponding to non-combustible black liquor particles in the region under consideration, according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0031] In the accompanying drawings, the same reference numbers are used throughout to refer to equivalent elements.

[0032] The following is a detailed description of embodiments of the present invention, examples of which are set forth in the accompanying drawings. The detailed description below, together with the accompanying drawings, is intended to describe the examples and does not represent the only way to implement or utilize the given examples. The following highlights example acts and sequences of steps / operations for combining and using the examples. The same or equivalent acts and steps / operations, however, may be accomplished by other examples.

[0033] Figure 1 illustrates, by way of example, the components of a system 100 according to the invention, in which different embodiments of the system 100 of the invention can be implemented. The example in Figure 1A represents a recovery boiler 110, a sampler 120, means 130 for generating a digital frame from a sample of particles contained in flue gas (or in short a flue gas sample) taken from the recovery boiler 110 using the sampler 120, a computing device 200 for determining one or more fractional particle group shares from the flue gas of the recovery boiler, and further processing equipment 140.

[0034] Recovery boiler 110 is a steam boiler designed to burn black liquor with dual capabilities to serve as a chemical recovery means and as a suitable unit for generating high pressure steam and energy in a pulp mill. Recovery boiler 110 is described in more detail in connection with FIG. 1B.

[0035] The sampler 120 may have, for example, a sampling bar or rod. In one example, the sampler 120 has a sampling bar with a flat square head. The advantage of a flat sampling surface is that distortions caused by the shape do not appear at the edges of the captured image. An image with distortions may, for example, be darker at the edges, which will affect the area values ​​used in the calculation of the percentage particle group share of the flue gas. There may be two or more flat sampling surfaces. The sampling surfaces may, for example, be formed on different sides of a square bar at its tip. If the surfaces are located vertically symmetrically, lateral variations in the flue gas flow may be observed, since different amounts of carryover are accumulated on the surfaces of the different sides. However, the percentage particle group share usually remains the same, but if there are more sampling surfaces, the calculation of the percentage share will also be more accurate. In one example, the sampler 120 is inserted into the flue gas stream at approximately bullnose height, i.e., through a hatch below the lower end of the superheater, in which case the measurement best represents the carryover particle distribution in the heat transfer section 115 (FIG. 1B).

[0036] After sampling, the sampler 120 is taken to an imaging means 130 (eg, a sampling station) where an image of the sampler 120 is taken.

[0037] In one example, the sampler 120 is manually operated. In another example, the sampler 120 is automated, for example, using a robot or manipulator. In one example, the in / out movement, photography, and / or cleaning of the sampler 120 is automated, in which case it may be used for active regulation of the recovery boiler 110.

[0038] The means 130 for generating a digital frame may comprise, for example, a sampling station with a camera, a photo booth, and a stand for placing the sampler 120. The camera may comprise, for example, a digital camera or an analog camera. In case of an analog camera, the means 130 may comprise equipment for digitizing the obtained analog image. In one example, the camera is a smart phone, a tablet, etc. In one example, the camera is an industrial camera. In one example, the camera is a visible range color camera.

[0039] In one example, the sampler 120 is placed on a stand in the sampling station so that the head of the sampler 120 with the flue gas particles always enters the photo booth in the same position (e.g., horizontally). In one example, the sampler 120 is photographed so that the sample of the sampler 120 is in the center of the image, preferably at a predetermined position in the longitudinal direction of the sampler 120.

[0040] In one example, a photo booth is illuminated. Sampling and photography conditions should be standardized to achieve the best correlation.

[0041] A computing device 200 used to determine one or more fractional particle shares from a recovery boiler flue gas is described in more detail in the discussion of FIG.

[0042] The further processing equipment 140 may comprise, for example, a workstation computer, a server computer, a database, and / or a data link, by means of which the particular fractional particle group share of the flue gas may be utilized to perform or initiate different further processing actions (e.g., assessing the quality of the operation of a recovery boiler furnace, such as assessing left / right balance, or assessing susceptibility of heating surfaces to fouling / corrosion, or assessing the need for sweeping). In one example, the captured images and the analyzed data may be processed, for example, in a process control system, using a suitable user interface and / or by a suitable database. The determination of the fractional particle group share of the flue gas may be used, for example, as measurement data for combustion control and / or for boiler sweep control.

[0043] FIG. 1B is a schematic diagram of a recovery boiler 110 according to the present invention. FIG. 1B shows the recovery boiler 110 having, among other things, a rectangular base 111, four walls 1121-1124 (of which FIG. 1B shows a rear wall 1121 and a front wall 1122), a furnace 113, a bullnose 114, and a heat transfer section 115. The bottom section of the furnace 113 is equipped with air holes 116 and a smelt spout 117. The heat transfer section 115 includes, for example, an economizer 115A, cooling piping 115B, and a superheater 115C.

[0044] Additionally, FIG. 1B depicts a sampler 120 according to the present invention, an optical manipulator 121 of the sampler 120, an imaging means 130, and an optional cleaning station 160 of the sampler 120.

[0045] 1B further illustrates an evaporator 151 that evaporates excess water from the black liquor, and a lye sprayer 152 that is used to spray the evaporated black liquor into the recovery boiler 110. In other words, with the lye sprayer 152, suitable droplet size and precise alignment, the goal is to form a desired pile of black liquor at the bottom 111 of the recovery boiler 110.

[0046] The walls 1121-1124 of the furnace 113 of the recovery boiler 110 are generally made of vertical pipes (not represented in FIG. 1B), which are hermetically connected to each other so that the pipes form a continuous cooling pipe. The water flowing inside the pipes is evaporated in the furnace 113 by the release of thermal energy, and finally, the saturated mixture of water and steam formed during the cycle is led to a steam drum (not represented in FIG. 1B), where the steam and water are separated and the steam is led to the superheater 115C for superheating. During operation, the bottom 111 of the recovery boiler 110 is completely covered with a layer of chemical smelt, the purpose being to form a controlled pile of inorganic materials and coke at the bottom of the boiler. The final combustion of the organic materials of the black liquor and the reduction of the chemicals take place in the pile under conditions of low oxygen. The smelt spout 117 is used to drain the chemical smelt from the boiler bottom 111 into a cracking tank (not represented in FIG. 1B).

[0047] For the combustion air to be supplied into the recovery boiler 110, the recovery boiler 110 typically has three air levels, primary, secondary and tertiary, with respective air holes 116. They all have their own impact on the combustion air supply required for the combustion of the black liquor. Turning to FIG. 1B, the front wall 1121 and rear wall 1122 are wider than the side walls 1123-1124, so the smelt spout and air holes are generally located on the front wall 1121 and / or rear wall 1122.

[0048] The superheater 115C is usually in the upper section of the recovery boiler 110 protected by a protrusion 114, or bullnose, that protects the superheater 115C from direct heat radiation and controls the flue gas flow to the superheater 115C. After the superheater 115C, the flue gases produced during combustion are led into a cooling duct 115B, where the heat of the flue gases is used for steam production. Usually, the flue gases contain a large amount of ash, which is attempted to be removed from the heat transfer surfaces by periodic steam sweeps. This ash is collected from an ash hopper in the flue gas duct and extracted from an electrostatic precipitator, where it is mixed with black liquor and sprayed into the boiler furnace 113 for the recovery of chemicals.

[0049] The recovery boiler 110 typically includes two feedwater preheaters, or economizers 115A, located in the vertical flue gas duct. The feedwater preheaters 115A heat the feedwater before it is fed into the cooling piping 115B. The preheaters 115A improve the efficiency of the recovery boiler 110 and allow the flue gases to be cooled to near the feedwater temperature. The economizers 115A in the flue gas stream must also be periodically swept with a steam sweep to keep them open.

[0050] FIG. 2 is a block diagram of a computing device 200 according to one embodiment.

[0051] The computing device 200 includes at least one processor 202 and at least one memory 204 that includes computer program code 205. The computing device 200 may also include an input / output module 206 and / or a communication interface 208.

[0052] Although computing device 200 in FIG. 2 is presented as including only one processor 202, computing device 200 may include several processors. In one embodiment, commands 205 may be stored in memory 204 (e.g., an operating system and / or different applications). Furthermore, processor 202 may be used to execute the stored commands. In one embodiment, processor 202 may be implemented as a multi-core processor, a single-core processor, or a combination of one or more multi-core processors and one or more single-core processors. Processor 202 may be implemented as one or more different processing devices, such as, for example, a co-processor, a microprocessor, a controller, a DSP (digital signal processor), a processing circuit with or without a DSP, or various other processing devices including an ASIC (application specific integrated circuit), an FPGA (field programmable gate array), a microcontroller unit, a hardware accelerator, etc. In one embodiment, processor 202 may be left to execute hard-coded functions. In one embodiment, processor 202 is implemented as an executor of software commands, and processor 202 may be configured with the commands to perform the algorithms and / or operations described in this report when the commands are executed.

[0053] The memory 204 may be implemented as one or more volatile memory devices, one or more non-volatile memory devices, and / or a combination of one or more volatile and one or more non-volatile memory devices. The memory 204 may be implemented as a semiconductor memory, such as, for example, a programmable ROM (PROM), an erasable PROM (EPROM), a flash ROM, a random access memory (RAM), etc.

[0054] The input / output module 206 is configured to facilitate the organization of input and / or output. The input / output module 206 is configured to communicate with the processor 202 and the memory 204. Examples of the input / output module 206 include, but are not limited to, an input interface and / or an output interface. Examples of input interfaces include, but are not limited to, a keyboard, a touch screen, a microphone, etc. Examples of output interfaces include, but are not limited to, a speaker, and a display, such as an LED display, a TFT display, a liquid crystal display, or an AMOLED display.

[0055] Communications interface 208 may enable computing device 200 to communicate with other devices. In one embodiment, different components of computing device 200, such as processor 202, memory 204, input / output module 206, and communications interface 208, are configured to communicate with each other via centralized circuitry 210. Centralized circuitry 210 may include a stamped circuit board, such as a motherboard.

[0056] The computing device 200 described and illustrated herein is merely one example of a device that may benefit from embodiments of the present invention, and is not intended to limit the protection circuitry of the present invention. It should be noted that the computing device 200 may include a different number of components than those depicted in Figure 2. The computing device 200 may be divided into several physical units that communicate through suitable communication links.

[0057] The one or more memories 204 and computer program code 205 described above are configured to cause the computing device 200 to read, using the at least one processor 202, a digital frame having an area under consideration. The area under consideration represents at least a portion of a surface of the sampler 120 that was held in the flue gas stream of the recovery boiler 110 for a predetermined period of time. In one example, the predetermined period of time is up to one minute. In another example, the predetermined period of time is up to 30 seconds. In one embodiment, the computing device 200 receives the readable digital frame. In another embodiment, the computing device 200 retrieves the readable digital frame. In one example, the one or more digital frames are stored in a database, from which the computing device 200 retrieves the digital frames. Such a database may be integrated into the computing device 200 or may be separate from the computing device 200 and connected thereto using a suitable communication link. In one example, the area under consideration comprises a central area of ​​the digital frame, such that one or more edge areas of the digital frame are cropped. This cropping may be used, for example, to remove image regions from the digital frame that include the periphery of the flue gas particle sample. In other words, at the specification of the area under consideration, the digital frame is cropped to exclude unnecessary regions that may skew the calculation of the percent particle group share of the flue gas. Edge regions of the digital frame are unnecessary, for example, when the area of ​​the flue gas particle sample does not extend to those edge regions. In one embodiment, the area under consideration is rectangular.

[0058] The one or more memories 204 and computer program code 205 are further configured to cause the computing device 200 to identify, using the at least one processor 202, one or more particle population regions from the region under consideration that match a predetermined color characteristic of at least one particle population contained in the flue gas of the recovery boiler 110. In one example, the particle population comprises one of the following: sodium sulfite particles (sodium sulfite, Na2SO3) and non-combustible black liquor particles. In one example, the color characteristic corresponding to the sodium sulfite particles has a reddish hue and the corresponding color characteristic of the non-combustible black liquor particles has a black hue.

[0059] Other carryover particles are mainly light grey and their identification from the background material is less certain. However, they can be identified as well and taken into account as their own particle group area. In this case, the proportion of the area of ​​sodium sulfite particles and / or unburned black liquor can be compared with their proportion of the total area covered by particles and not with the total area of ​​the area under consideration. In this case, the proportion of the total area covered by particles can also be calculated out of the total area of ​​the area under consideration. This allows for correlation of the total amount of carryover using the prior art Sootprobe™, which allows for example to estimate the growth rate of the layer on the heat exchanger surface.

[0060] When the predetermined time for sampling is sufficiently long, for example 25 seconds, or preferably 30 seconds or more, the surface of the sampler is usually substantially entirely covered by particles, in which case it is sufficient to identify only the sodium sulfite particles and / or the non-combustible black liquor particles and determine their area and their proportion of the total area of ​​the area under consideration.

[0061] In one example, the color characteristic corresponding to the sodium sulfite particles has a Cr component in the YCbCr color space, and the color characteristic corresponding to the non-flammable black liquor particles has a Y component in the YCbCr color space. YCbCr is a color space / color model in which colors are created by combining one luma component and two chroma components. The luma (Y component) is the brightness information (luminance) of the image with gamma correction, the Cb component represents the yellow-blue variation, and the Cr component represents the green-red variation.

[0062] The one or more memories 204 and computer program code 205 described above are further configured to cause the computing device 200, using the at least one processor 202, to determine a joint area of ​​the identified one or more particle group regions.

[0063] The one or more memories 204 and computer program code 205 are further configured to cause the computing device 200 to determine, using the at least one processor 202, a share of the determined binding area from a predefined total area as a proportional particle population share of said particle population. In one example, the predefined total area comprises the total area of ​​the area under consideration.

[0064] In one embodiment, there are at least two particle groups of interest. In this case, for these at least two particle groups, the identification of the particle group area, the determination of the combined area and the determination of the combined area from the total area are performed separately. In this embodiment, the predetermined total area can comprise either the total area of ​​the area under consideration or the total area of ​​the combined areas of the at least two different particle groups.

[0065] In the example below, the flue gas contains three particle populations: sodium sulfite particles (reddish shade), non-combustible black liquor particles (black shade), and other particles (e.g. sodium sulfate particles, i.e. ash, gray shade).

[0066] In a first example, only sodium sulfite particles are identified. All sodium sulfite particle regions, i.e. regions with a reddish tint, are identified from the area under consideration. The bonded area of ​​all identified sodium sulfite particle regions is then determined as the bonded area. In this example, the total area is the total area of ​​the area under consideration. Finally, considering the total area of ​​the area under consideration, the proportion of the bonded area of ​​the identified sodium sulfite particle regions is determined, and the value thus obtained is considered as the proportion share of sodium sulfite particles.

[0067] In a second example, only non-combustible black liquor particles are identified. All non-combustible black liquor particle areas, i.e. areas of black shade, are identified from the area under consideration. The combined area of ​​all identified non-combustible black liquor particle areas is then determined as the combined area. In this example, the total area is the total area of ​​the area under consideration. Finally, considering the total area of ​​the area under consideration, the proportion of combined area of ​​identified non-combustible black liquor particle areas is determined, and the value thus obtained is considered as the proportion share of non-combustible black liquor particles.

[0068] In a third example, both sodium sulfite particles and non-combustible black liquor particles are identified. All sodium sulfite particle areas, i.e. areas with a reddish hue, and all non-combustible black liquor particle areas, i.e. areas with a black hue, are identified from the area under consideration. The sum of the combined areas of all identified sodium sulfite particle areas and the combined areas of all identified non-combustible black liquor particle areas is then determined as the combined area. In this example, the total area is the total area of ​​the area under consideration. Finally, considering the total area of ​​the area under consideration, the ratio of the combined area of ​​the identified sodium sulfite particle areas to the combined area of ​​the identified non-combustible black liquor particle areas is determined, and the value thus obtained is considered as the percentage share of the sum of sodium sulfite particles and non-combustible black liquor particles.

[0069] In a fourth example, both sodium sulfite particles and non-combustible black liquor particles are identified. All sodium sulfite particle areas, i.e. areas with a reddish hue, and all non-combustible black liquor particle areas, i.e. areas with a black hue, are identified from the area under consideration. The bonded area of ​​only the identified sodium sulfite particle areas is then determined as the bonded area. In this example, the sum of the bonded area of ​​the identified sodium sulfite particle areas and the bonded area of ​​all the identified non-combustible black liquor particle areas is the total area. Finally, the ratio of the bonded area of ​​the identified sodium sulfite particle areas to the sum of the bonded area of ​​the identified sodium sulfite particle areas and the bonded area of ​​the identified non-combustible black liquor particle areas is determined, and the value thus obtained is considered as the percentage share of sodium sulfite particles.

[0070] In a fifth example, both sodium sulfite particles and non-combustible black liquor particles are identified. All sodium sulfite particle areas, i.e. areas with a reddish hue, and all non-combustible black liquor particle areas, i.e. areas with a black hue, are identified from the area under consideration. The bonded area of ​​only the identified sodium sulfite particle areas is then determined as the bonded area. In this example, the total area is the bonded area of ​​the identified non-combustible black liquor particle areas. Finally, the ratio of the bonded area of ​​the identified sodium sulfite particle areas to the bonded area of ​​the identified non-combustible black liquor particle areas is determined, and the value thus obtained is considered as the percentage share of sodium sulfite particles.

[0071] The invention is not limited to only the five illustrative examples described above, many other variations are possible.

[0072] In one embodiment, the one or more memories 204 and the computer program code 205 are further configured to cause the computing device 200 to determine, using the at least one processor 202, that at least one possible overlap region of the particle group regions belongs to one of the particle group regions based on a darkness of the possible overlap region.

[0073] In one embodiment, the identification of particle cloud regions comprises a thresholding of the corresponding color characteristic. In this text, thresholding refers to an operation in which pixels of the region under consideration, whose certain value exceeds a certain limit, are assigned a first binary value (e.g. "1") and pixels of the region under consideration, whose value is less than this limit, are assigned a second binary value (e.g. "0"). If a pixel value is equal to the limit, it can be assigned either the first or the second binary value as deemed appropriate. The result of thresholding is thus a binary image.

[0074] In one embodiment, the determined relative particle group shares of the particle groups are used to control the recovery boiler 110, for example to control combustion and / or to control boiler sweep. In one instance, a control system of the recovery boiler 110 is informed of each determined relative particle group share. In one instance, the air and / or fuel supply of the recovery boiler 110 is adjusted according to at least one of the determined relative particle group shares.

[0075] The percentage particle share that requires a change in the recovery boiler 110 control varies boiler, load and / or fuel specific. Generally, if steam is produced evenly and sufficiently and the chemical cycle is not disturbed, no change to the adjustments is made. An increase in carryover is due to variations in furnace reactions and events that upset the balance of the combustion process (steam and chemicals). A decrease in carryover, by itself, does not usually cause a correction action. In one example, the approximate action limits are about 10% for non-burning black liquor particles and about 15% for sodium sulfite particles and about 20% for their combined shares.

[0076] In one embodiment, the one or more memories 204 and computer program code 205 described above are further configured to cause the computing device 200 to determine, using the at least one processor 202, a proportional share of sodium sulfate particles (sodium sulfate, Na2SO4), for example, by estimating from the total area, the bound area of ​​the sodium sulfite particles, and the bound area of ​​the non-combustible black liquor particles.

[0077] In one embodiment, the digital frame includes sampling information having at least the sampling time (e.g., a time stamp) of the flue gas particle sample represented by the frame. The use of time stamps, for example, allows for the creation of time-stamped trends that may be viewed for a desired time period.

[0078] In one embodiment, the predetermined time may be altered if the bond area is above or below a predetermined limit.

[0079] One application example of the present invention is described in more detail below, in which some steps are optional.

[0080] First, a predetermined value range of considerations can be read for the components of the YCbCr color model for sodium sulfite particles and non-combustible black liquor particles, as well as predetermined minimum and maximum particle sizes. The minimum and maximum sizes for particles to be identified can be determined in pixels. Based on the size, a selection can be made as to whether the identified particles are of a size that makes the identification reliable.

[0081] An image of the flue gas particulate sample is taken. Figure 4A shows an example of such a captured image 410 of a flue gas particulate sample. The image may be rotated to a horizontal position so that the width → height, and / or the image may be scaled to a predefined width (original aspect ratio).

[0082] The region to be considered is then selected.

[0083] After this, for example, a conversion from the RGB (Red, Green, Blue) color model to the YCbCr color model is possible. The color model conversion RGB → YCbCr can be performed using the appropriate color model conversion function. The advantage of using the YCbCr color model is that, based on the hue, red particles and particles with red shades can be distinguished from blue-gray areas.

[0084] A blank result image can be created for the sodium sulfite particles and non-combustible black liquor particles to be identified. In other words, the result image of the thresholding operation, i.e. the binary mask, is initially formatted empty.

[0085] Sodium sulfite particles can be selected from the image by thresholding the components of the YCbCr color model such that the Y (luminance) and Cb (yellow-blue) components have a fixed value range, the Cr (green-red) component value range is narrowed stepwise within the limits of the value range, so that at each step the mask resulting from the thresholding is considered, and the regions that satisfy a given region condition for sodium sulfite particles (the size of the threshold region shall be between a minimum and a maximum size) are selected for the resulting image. Figure 5A illustrates the binary mask (510) obtained by thresholding according to the present invention, corresponding to sodium sulfite particles in the region under consideration. In Figure 5A, white is 1 and black is 0, i.e. white refers to the regions identified as hits for sodium sulfite particles and black refers to the other regions.

[0086] The non-burnable black liquor particles can be selected from the image by thresholding the components of the YCbCr color model such that the Cb and Cr components have a fixed value range, the Y component value range is narrowed stepwise within the limits of the value range so that at each step the mask resulting from the thresholding is considered, and the regions that satisfy the predetermined region condition for non-burnable black liquor particles (the size of the threshold region shall be between a minimum and a maximum size) are selected for the resulting image. Figure 5B illustrates the binary mask 520 obtained by thresholding according to the present invention, corresponding to the non-burnable black liquor particles in the region under consideration. In Figure 5B, white is 1 and black is 0, i.e. white refers to the regions identified as hits for non-burnable black liquor particles and black refers to the other regions.

[0087] In other words, each image to be analyzed can be treated as a three-component (Y, Cb, Cr) readout matrix that is subjected to a selection based on a thresholding operation. In thresholding, the selection is performed by setting thresholds for the different image components. The thresholding operation results in a binary image, i.e. a mask (one-component matrix), in which, for example, the areas that satisfy the threshold are marked with the value true (white) and the other areas are marked with the value false (black). For each image to be analyzed, the thresholding of the image components can be performed several times with different limit values ​​and the result images of the thresholding operations, i.e. the binary masks, can be added to one combined result image, the result being a single result image that contains the results of all thresholding operations. Figure 4B illustrates an analyzed digital frame 420 according to the invention, which represents the area to be considered and the sodium sulfite particles and non-combustible black liquor particles identified inside the area under consideration. In Figure 4B, the area under consideration is marked with a white rectangle.

[0088] A post-inspection of the generated mask image is performed such that, if the mask image represents an intersection, low intensity areas at the intersection of the mask image of sodium sulfite particles and the mask image of non-burnable black liquor particles are marked as components of non-burnable black liquor particles. In other words, at an overlap hit, i.e. a possible intersection of the masks, the darkness of the overlap area is taken into account such that if the intersection is darker than a value set as a threshold value, it is marked as an area of ​​non-burnable black liquor particles, otherwise it is marked as an area of ​​sodium sulfite particles.

[0089] Then the area percentage in the area under consideration is calculated, i.e. how much of the area under consideration the mask images of sodium sulfite particles and non-combustible black liquor particles encompass in percentage. Further, the area covered by sodium sulfate particles, i.e. ash, can be calculated as follows: 100-(area percentage of sodium sulfate particle area+area percentage of non-combustible black liquor particle area)% if the time period is long enough to result in complete coverage.

[0090] The identification of the color characteristics may result in the identification of the area into two different particle group areas. Preferably, when calculating the percentage, possible overlap of the obtained image masks of sodium sulfite particles and non-burnable black liquor particles is taken into account in order to allow a reliable calculation of the area percentage. The overlapping areas are processed in such a way that, for example, at the intersection of the sodium sulfite particle mask image and the non-burnable black liquor particle mask image, the areas in the sodium sulfite particle mask that are darker than a specified threshold value and are darker on average in terms of their intensity value are selected in the mask image of the non-burnable black liquor particles, while the other intersection areas are left in the mask image of the sodium sulfite particles.

[0091] FIG. 3 depicts an example flow chart 300 of a method for determining one or more fractional particle group shares from a recovery boiler flue gas, according to an example embodiment.

[0092] In operation 301, a processor is used to read a digital frame having a region under consideration that represents at least a portion of a surface of a sampler that was retained in the recovery boiler flue gas stream for a predetermined period of time.

[0093] In operation 302, a processor is used to identify one or more particle population regions from the region under consideration that match a predetermined color characteristic of at least one particle population contained in the recovery boiler flue gas.

[0094] In an optional operation 303, a processor is used to determine at least one potential overlap region of a particle mass region that belongs to one of said particle mass regions based on a darkness of said potential overlap region.

[0095] In operation 304, a processor is used to determine a connection region of one or more of the identified particle cloud regions.

[0096] In operation 305, a processor is used to determine the determined bonded area share as a proportional particle population share of said particle population from a given total area.

[0097] The method 300 may be implemented using the device 200 of Figure 2. Additional features of the method 300 are a direct result of the operations and parameters of the device 200 and therefore will not be repeated here. The method 300 may be implemented using one or more computer programs.

[0098] The illustrative embodiments may include, for example, any suitable computing device capable of performing the processes of the illustrative embodiments. The devices and subsystems of the illustrative embodiments may communicate with each other using any suitable protocol, and they may be implemented using one or more programmed computer systems or devices.

[0099] One or more connection mechanisms may be used in conjunction with the illustrative embodiments, including an Internet connection, any suitable form of telecommunications (voice, modem, etc.), wireless communication media, etc. The communications networks or connections may include, for example, one or more satellite communications networks, wireless communication networks, cellular communications networks, 3G communications networks, 4G communications networks, 5G communications networks, general switched telephone networks, packaged data networks, the Internet, an intranet, or combinations thereof.

[0100] It should be understood that the illustrative embodiments are merely illustrative, as many variations in the particular equipment used to implement the illustrative embodiments are possible, as those skilled in the art will appreciate. For example, the functionality of one or more components of the illustrative embodiments may be implemented by hardware and / or software.

[0101] The illustrative embodiment may store information regarding the different processes described in this report. This information may be stored in one or more memories, such as a hard disk, an optical disk, a magneto-optical disk, a RAM memory, etc. Information used to implement the illustrative embodiment of the present invention may be stored in one or more databases. The databases may be organized using data structures (e.g., data records, tables, boards, fields, graphs, trees, or lists) contained in one or more memories or storage media described herein. With respect to the illustrative embodiment, the described processes may include suitable data structures for storing data collected and / or generated by the processing of the devices and subsystems of the illustrative embodiment in one or more databases.

[0102] The illustrative embodiments may be implemented in whole or in part using one or more general purpose processors, microprocessors, DSP processors, microcontrollers, etc., programmed according to the teachings of the illustrative embodiments of the present invention, as will be appreciated by those skilled in the art. An average programmer can readily generate appropriate software based on the teachings of the illustrative embodiments, as will be appreciated by those skilled in the software art. Additionally, the illustrative embodiments may be implemented using application specific integrated circuits or by combining conventional component circuits in an appropriate network, as will be appreciated by those skilled in the electronics art. Thus, the illustrative embodiments are not limited to any particular combination of hardware and / or software.

[0103] When stored on any computer readable medium or combination thereof, an exemplary embodiment of the present invention may include software for controlling components of the exemplary embodiment, operating components of the exemplary embodiment, enabling interaction between components of the exemplary embodiment and a human user, etc. Such software may include, but is not limited to, device drivers, firmware, operating systems, software development tools, application software, etc. These computer readable media may include computer program products of the exemplary embodiment of the present invention for performing the processing in whole or in part (if the processing is distributed) in an implementation of the present invention. A computing device of the exemplary embodiment of the present invention may include any suitable interpretable or executable code mechanism, including, but not limited to, command scripts, interpretable programs, dynamic link libraries, Java classes and applets, fully executable programs, etc. Additionally, portions of the processing of the exemplary embodiment of the present invention may be distributed to improve performance, reliability, cost, etc.

[0104] As mentioned above, components of the illustrative embodiment may include computer readable media or memory for storing instructions programmed in accordance with the teachings of the present invention, as well as data structures, tables, data records, and / or other data described in this report. Computer readable media may include any suitable medium involved in orchestrating instructions to be executed by a processor. Such media may have several forms, including, but not limited to, non-volatile or permanent storage media, volatile or non-permanent storage media, and the like. Non-volatile storage media may include optical or magnetic disks, and the like. Volatile storage media may include dynamic memory, and the like. Common forms of computer readable media may include floppy disks, hard drives, or any other medium that may be read by a computer.

[0105] The invention is not limited solely to the application examples described above, but many variations are possible within the concept of the inventive idea defined by the claims.

Claims

1. 1. A method (300) for determining one or more fractional particle shares from a flue gas of a recovery boiler (110), comprising: reading (301) digital frames with a processor (202) for a predetermined period of time, said digital frames representing at least a portion of a surface of a sampler (120) held in a flue gas stream of a recovery boiler (110); Identifying (302) with the processor (202) one or more particle population regions from a region under consideration that match a predetermined color characteristic of at least one particle population contained in the flue gas of the recovery boiler (110); determining (304) a combined region of the identified one or more particle groups using the processor (202); determining (305) using the processor (202) a share of the determined bonded area from a given total area as the fractional particle population share of the particle population; Including, The steps of identifying (302) particle group regions, determining (304) the combined region, and determining (305) the share of the combined region from the total region are performed for at least two different particle groups contained in the flue gas of the recovery boiler (110); The method (300), further comprising the step of, if the particle group regions of the at least two different particle groups have an overlap region, determining (303) with the processor (202) to which particle group region the overlap region belongs based on darkness of the overlap region.

2. The method (300) of claim 1 , wherein the predetermined total area comprises the total area of ​​the area under consideration.

3. The method (300) of claim 1, wherein the predetermined total area comprises the total area of ​​the bonded region of each of the at least two distinct particle populations.

4. 4. The method (300) of any one of claims 1 to 3, wherein the particles comprise one of sodium sulfite particles and non-combustible black liquor particles.

5. 5. The method (300) of claim 4, wherein a color characteristic corresponding to the sodium sulfite particles has a reddish hue and a color characteristic corresponding to the non-burning black liquor particles has a black hue.

6. 6. The method (300) of claim 4 or 5, wherein the color characteristic corresponding to the sodium sulfite particles has a Cr component in a YCbCr color space and the corresponding color characteristic of the non-burning black liquor particles has a Y component in the YCbCr color space.

7. The method (300) of any one of claims 1 to 6, wherein the identification of particle group regions comprises thresholding of corresponding color characteristics.

8. The method (300) of any one of claims 1 to 7, wherein the determined proportional particle population share of the particle population is used to control the recovery boiler (110).

9. 9. A computer program product having at least one computer-readable storage medium having commands which, when executed by one or more processors (202), cause a computing device (200) to perform the method of any one of claims 1 to 8.

10. At least one processor (202); At least one memory (204) having computer program code (205); A computing device (200) having: The at least one memory (204) and the computer program code (205) are used by at least one processor (202) to cause the computing device (200) to: reading a digital frame having an area under consideration representing at least a portion of a surface of a sampler (120) held in the flue gas stream of a recovery boiler (110) for a predetermined period of time; identifying one or more particle population regions from the region under consideration that correspond to a predetermined color characteristic of at least one particle population contained in the flue gas of the recovery boiler (110); determining a bonding region for the identified one or more particle groups; determining a share of the determined bond area from a given total area as a proportional particle group share of the particle group; It is structured as follows: The at least one memory (204) and the computer program code (205) are used by the at least one processor (202) to cause the computing device (200) to: performing the identification of particle group regions, the determination of combined regions, and the determination of the share of the combined regions from the total regions for at least two different particle groups contained in the flue gas of the recovery boiler (110); When the particle group regions of the at least two different particle groups have an overlapping region, determining which particle group region the overlapping region belongs to based on the darkness of the overlapping region.

20. The computing device (200) according to claim 1, further configured to:

11. 11. The computing device (200) of claim 10, wherein the predetermined total area comprises the total area of ​​the area under consideration.

12. 11. The computing device (200) of claim 10, wherein the predetermined total area comprises the total area of ​​the bonded region of each of the at least two distinct particle populations.

13. 13. The computing device (200) of any one of claims 10 to 12, wherein the particles comprise one of sodium sulfite particles and non-combustible black liquor particles.

14. 14. The computing device (200) of claim 13, wherein a color characteristic corresponding to the sodium sulfite particles has a reddish tint and a color characteristic corresponding to the non-burning black liquor particles has a black tint.

15. 15. The computing device (200) of claim 13 or 14, wherein the color characteristic corresponding to the sodium sulfite particles has a Cr component in a YCbCr color space and the color characteristic corresponding to the non-burning black liquor particles has a Y component in the YCbCr color space.

16. 16. The computing device (200) of claim 10, wherein identifying said particle group regions comprises thresholding of corresponding color characteristics.

17. 17. The computing device (200) of any one of claims 10 to 16, wherein the determined proportional particle population share of the particle population is used to control the recovery boiler (110).

18. 1. A system (100) having a sampler (120) for taking a sample from a flue gas stream of a recovery boiler (110), comprising: means (130) for generating a digital frame from the flue gas sample taken from the recovery boiler (110) using the sampler (120); A computer device (200) according to any one of claims 10 to 17, The system (100) further comprising:

19. The system (100) of claim 18, wherein the sampler (120) is adapted to take the samples at at least two different distances from a wall of the recovery boiler (110).

Images