Patent Grant
11976388
The invention relates to a method for recording trash in a fiber preparation system.
In a fiber preparation system in a spinning mill, supplied fibers or fiber flocks are prepared for use in a spinning machine. In a fiber preparation system, the fibers to be prepared for spinning pass through a plurality of processing stages. In a first stage, the fibers are removed from fiber bales in the form of fiber flocks. So-called bale openers are usually used for this purpose. These fiber flocks are transported out of the bale opener by means of pneumatic fiber flock conveyance and are, for example, transferred to a downstream cleaning machine. In the further stages, the fiber preparation system also has a sequence of cleaning machines through which the fibers or fiber flocks pass. The sequence and design of the cleaning machines are adapted to the fibers to be processed and are used for cleaning, mixing, and separating the fiber flocks into individual fibers and making them parallel. The individual cleaning machines in a fiber preparation system can be arranged in different ways, this being dependent, inter alia, on the raw material to be processed and the product to be obtained.
The cleaning machines used are, for example, coarse cleaners, fine cleaners, foreign part separators and carders or cards. Other types of machines, such as stores or mixers, can also be equipped with cleaning modules, which are also to be included in the cleaning machines. The individual points in a machine, at which a waste product from the cleaning process, the so-called trash, is produced are correspondingly referred to as cleaning points. A single cleaning machine can thus have a plurality of cleaning points, for example, the trash of a licker-in can be removed separately from the trash of a revolving flat unit in a carder. Conversely, however, the trash that is produced at different points in the machine can also be combined within the machine. In the following description, any point of a machine from which a separate connection is provided to a subsequent trash removal is therefore referred to as a cleaning point.
The fibers or fiber flocks are usually conveyed between the machines by a pneumatic transport system using transport air. Upstream of the cleaning machines, the transport air is discharged as necessary by a separate exhaust air system. In the cleaning machine or cleaning point itself, so-called trash is produced, which includes the dirt particles, foreign parts, seed parts or stalk parts, dust particles or short fibers or fiber knots, referred to as neps, which are separated from the fibers or fiber flocks in the cleaning process. Due to the design of the cleaning points, good fibers, i.e. fibers that could actually be processed in the subsequent spinning mill, also get into the trash. The proportion of good fibers in the trash of a cleaning point should be kept as low as possible. However, it cannot be completely prevented that, as a result of the cleaning of the fiber material, good fibers are also separated from the fiber material and become part of the trash. The more intensively the fiber material is to be cleaned, the higher the proportion of good fibers in the trash. If the cleaning point is adjusted such that a small proportion of good fibers is produced, the fiber material is cleaned to a lesser extent.
Carders, which separate the fiber flocks into individual fibers and form them into a sliver, often form the end of the fiber preparation system. Downstream of the carders, the fibers are passed on to the spinning preparation process in the form of slivers. In the spinning preparation process, the slivers are processed by draw frames, combing machines or flyers for use in final spinning processes.
Various approaches for monitoring the trash in the individual cleaning machines are known from the prior art. For example, CH 697 063 A5 discloses a device on a spinning preparation machine for recording waste (trash) consisting of foreign substances and good fibers. The waste is collected in a collecting device in the machine and guided past a brightness sensor. The proportion of good fibers is detected by the brightness sensor and the cleaning device of the machine in question is set to minimize the proportion of good fibers in accordance with the specifications. EP 0 399 315, by contrast, discloses a sensor that detects the proportion of dirt in the collecting container for the trash of a cleaning machine and makes it possible to maximize the proportion of dirt. The disadvantage of these devices is that they have to be provided individually for each machine and, as a result, the cleaning performance of each machine is also evaluated independently.
The process of sampling is also known from the prior art. In this case, a sample of the trash is periodically taken from the individual cleaning points and examined on appropriate laboratory machines. The disadvantage of this is that this procedure is time-consuming and the results of the analysis are available with a time delay.
The problem addressed by the invention is therefore that of providing a device that makes it possible for the trash to be recorded centrally, as a result of which the trash can be recorded for subsequent analysis, which provides the possibility of optimizing the operation of the entire fiber preparation system as well as of the individual cleaning points.
Additional objects and advantages of the invention will be set forth in part in the following description, or may be obvious from the description, or may be learned through practice of the invention.
The problems are solved by a method and a device having the features described and claimed herein.
In order to solve the problem, a novel method for recording trash in a fiber preparation system having a plurality of cleaning points and a transport line that is connected to the cleaning points and is guided into a central container is used. The central container is connected to a negative pressure source for generating transport air and the trash is suctioned from each cleaning point through the transport line with the transport air to the central container. In the central container, the trash is separated from the transport air and transferred into a scale and weighed. The trash located in the scale is optically recorded by a camera directed to an interior of the scale. Because a central recording and analysis of the trash of all cleaning points of a fiber preparation system takes place, the processes on the individual machines can be simpler and also more cost-effective. The negative pressure source can be designed as a fan or can also consist of a connection to a superordinate suction system of the fiber preparation system. The separation of the trash from the transport air is carried out using means known from the prior art, such as cyclones or filter systems. The weighing and optical recording of the trash is carried out as a snapshot after the trash has arrived in the central container from a cleaning point. It is practical for the weighing and optical recording to be postponed until the separation of trash and transport air has been completed. The camera suitable for optical image acquisition can be an RGB camera or a simple light-dark CCD camera. The choice of camera with regard to its resolution and sensitivity has to be made on the basis of the subsequent evaluation. If only the brightness is to be assessed, a b/w image acquisition having a low resolution is sufficient. However, if the individual dirt particles are to be recognized and assigned to certain categories, either a high-resolution camera is to be used or a high frame rate is necessary.
The trash of each cleaning point is fed separately to the central container. For this purpose, the connections between the cleaning points and the transport line can be closed individually. By means of a controller, the trash collection containers of the individual cleaning points can thus be emptied individually and as required, and the relevant trash can be supplied for recording. It is advantageous if, after the trash has been weighed and optically recorded, the scale is emptied into a waste container via a flap located in the bottom of the scale. This purely mechanical emptying of the central container prevents the need for a fluidic separation between the inlet and the outlet of the central container. The waste container can in turn be emptied by suction or replaced by an empty waste container.
A quality characteristic of the trash is preferably determined by evaluating the optical image acquisition. A generated image can be evaluated, for example, by determining the brightness or the ratio of light to dark. In the case of a high proportion of dirt or rubbish in the trash, the trash appears darker than in the case of a high proportion of good fibers in the trash. The quality characteristic can then be expressed, for example, as a percentage of good fibers or can be given a simple number that is assigned according to a predetermined scale. The quality characteristic can in this case be determined specifically for a cleaning point, since the good fiber content is important at one cleaning point, for example, but at another cleaning point the proportion of dust particles in the dirt is important. In this case, the quality characteristic can be output as a code that is then advantageously used to optimize a setting of the corresponding cleaning point. For this purpose, data sets are stored in the controller which contain the desired quality characteristics based on the specifications made by the operator or a selected process based on the product to be processed. If the quality characteristics from the analysis deviate from the specifications, the controller will output a message or, if the fiber preparation system and the individual machines are appropriately equipped, automatically correct the setting of the corresponding cleaning point. In an automated fiber preparation system, by evaluating the quality characteristics of individual cleaning points, the controller can also conclude that a change in the operating mode of machines influencing the trash at the analyzed cleaning point, rather than a change in the setting of a cleaning point, would have a greater effect.
Particularly preferably, not only the proportion of good fibers in the trash but also the distribution of the dirt particles according to type and size can be determined by the evaluation. The quality feature is calculated from the data, which quality feature contains a statement regarding the proportion of good fibers and the composition of the dirt particles.
In a further development, an image generated by optical image acquisition is analyzed using a neural network. Neural networks are able to evaluate large amounts of unstructured data, for example images, particularly well and to find patterns in said data. A neuron is a mathematical formula that processes an input and generates an output therefrom. The values of the formula are in this case defined by the output data. Many artificial neurons work together and thus form an artificial neural network. In order for neural networks to function, they need data that they know the result of in order to learn from said data; this process is referred to as training. Existing images are manually evaluated and the result is provided to the network. The network then performs a calculation and checks whether it matches the expected result. The neural network takes an image, breaks the individual pixels down into data (for example a color value) and then uses this data in a complex formula to calculate a result that it then compares with the result of the manual evaluation. If the result of the formula and the manual evaluation match, the network has correctly recognized an image. If the result of the formula and the manual evaluation do not match, the calculation is not yet correct and training must be continued.
A neural network does not solve this calculation using knowledge, but by means of trial and error—it optimizes the individual values in the neurons until the actual result corresponds to the desired result. Thousands of parameters are usually adjusted simultaneously in many very small steps. These steps are then repeated many thousands to millions of times, and not just with one image, but with many different images. The neuron values change a little each time. At the end of this process, however, the neurons are so fit that they can distinguish good fibers from trash in images. As a result, the neural network can not only differentiate between images that it already knows and has learned to classify correctly, it can also do this with images that it has never seen before. The network has abstracted a general pattern from the training images, which it can now apply to new images.
A device is also proposed for recording trash in a fiber preparation system having a plurality of cleaning points, a transport line that is connected to the cleaning points and is guided into a central container and a negative pressure source for generating transport air. The central container has a transport air separator and a scale and is provided with a camera directed into an interior of the scale for optically recording the trash located in the scale. The connection between a cleaning point and the transport line is provided with a shut-off element in each case. This makes it possible to transport trash from a single cleaning point and prevents a mixing of the trash and thus an inaccurate assessment of the efficiency of the individual cleaning points.
A bottom of the scale is preferably designed as a flap. After the trash located in the central container has been weighed and optically recorded, it can be disposed of into a waste container simply and without residue by means of the flap. Alternatively, the trash could also be suctioned out of the central container.
In a further development of the invention, a fiber preparation system having a device according to the previous description is proposed, the fiber preparation system comprising an optical image acquisition of a fiber material entering the fiber preparation system and an evaluation of the optical image acquisition in order to calculate a quality characteristic of the fiber material, and this quality characteristic being provided for the basic setting of the cleaning points. The fiber material typically enters a fiber preparation system in the form of fiber bales. The fiber bales are usually taken apart by so-called bale openers, and the fiber material is supplied in the form of fiber flocks for further processing in the fiber preparation system. By means of the optical image acquisition of the fiber bales and the subsequent analysis of the images, the arrangement, setting and mode of operation of the individual machines of the fiber preparation system can be checked or optimized on the basis of the calculated quality characteristics of the fiber material. This process makes it possible for the machines to be adjusted to a fiber material that is to be expected.
The invention is described below with reference to an exemplary embodiment and explained in more detail by means of the drawings, in which:
Reference will now be made to embodiments of the invention, one or more examples of which are shown in the drawings. Each embodiment is provided by way of explanation of the invention, and not as a limitation of the invention. For example features illustrated or described as part of one embodiment can be combined with another embodiment to yield still another embodiment. It is intended that the present invention include these and other modifications and variations to the embodiments described herein.
The cleaning points are individually connected to a transport line 12, which is used to remove trash which is produced in the cleaning points. The cleaning point of the coarse cleaner 2 is thus connected to the transport line 12 via the connection 13, a shut-off element 14 being provided in the connection 13. The connection 13 can be closed by the shut-off element 14 and the cleaning point of the coarse cleaner 2 can thus be decoupled from the transport line 12. Furthermore, the cleaning point of the fine cleaner 4 is connected to the transport line 12 via the connection 15, a shut-off element 16 being provided in the connection 15. Furthermore, the cleaning point of the licker-in 9 of the carder 6 is connected to the transport line 12 via the connection 17, a shut-off element 18 being provided in the connection 17. Furthermore, the cleaning point of the drum 10 of the carder 6 is connected to the transport line 12 via the connection 19, a shut-off element 20 being provided in the connection 19.
The transport line 12 is connected to a central container 21 and has an air inlet opening at the end thereof that is opposite the central container. The transport line 12 is connected to a negative pressure source 26, a fan in the embodiment shown, via the central container. The fan generates the transport air required to suction the trash away at the various cleaning points.
The central container 21 comprises a transport air separator 22, a scale and a camera 25 directed to the interior of the scale 24. The scale 24 and the camera 25 as well as the fan 26 and the shut-off elements 14, 16, 18 and 20 are connected to a controller 27. A transfer of the trash from a cleaning point is initiated by the controller 21. For this purpose, the shut-off element 14 in the connection 13 of the cleaning point of the coarse cleaner 2 is opened and the fan 26 is switched on, for example. The trash of the coarse cleaner 2 is thus suctioned through the transport line 12 into the central container 21, freed from the transport air and filled into the scale 24. The process of filling the scale 24 is completed by closing the shut-off element 14. The trash is then weighed and optically recorded by the camera 25. The various cleaning points are emptied successively in this way, and the trash suctioned away therefrom is fed to the central container 21. After the trash has been weighed and visually recorded, the controller carries out an analysis of the trash.
The present invention is not limited to the embodiments shown and described. Modifications within the scope of the claims are possible, as is a combination of the features, even if these are shown and described in different embodiments.
| Number | Date | Country | Kind |
|---|---|---|---|
| 00975/20 | Aug 2020 | CH | national |
| Number | Name | Date | Kind |
|---|---|---|---|
| 5321496 | Shofner | Jun 1994 | A |
| 5430301 | Shofner | Jul 1995 | A |
| 5791489 | Leifeld | Aug 1998 | A |
| 20140053949 | Witt | Feb 2014 | A1 |
| Number | Date | Country |
|---|---|---|
| 697 063 | Apr 2008 | CH |
| 210 458 457 | May 2020 | CN |
| 40 33 427 | Apr 1992 | DE |
| 100 63 861 | Jun 2002 | DE |
| 0 399 315 | Nov 1990 | EP |
| 0 408 491 | Jan 1991 | EP |
| 2 045 378 | Apr 2009 | EP |
| WO 9611292 | Apr 1996 | WO |
| Entry |
|---|
| Swiss Search Report, dated Nov. 4, 2020. |
| Number | Date | Country | |
|---|---|---|---|
| 20220042213 A1 | Feb 2022 | US |
