Height measurement of sorting bins

Abstract

The present invention relates to a method for sorting textile, the method comprising distributing a quantity of textile items among two or more sorting bins, wherein each sorting bin receives textile items belonging to a same textile category, wherein the sorting bins are arranged in series; determining a fill level of each sorting bin by means of one or more sensors that are movably arranged above the sorting bins and move over the sorting bins; and emptying the sorting bins based on the fill level. The invention also relates to a device which is suitable for carrying out said method.

Description

TECHNICAL FIELD

[0001] The invention relates to the field of textile sorting and processing, wherein a method, a device, and a use are provided for sorting textile.PRIOR ART

[0002] Traditionally, the sorting of textile is performed entirely manually by workers who sort textile items based on their material type, color, and other relevant characteristics. Typically, each operator has a set of sorting bins in which he or she sorts the garments. At preset time intervals, all sorting bins belonging to the same category are emptied and removed. If a sorting bin for a certain category at one of the operators' stations is prematurely full, a button is pressed, for example, causing that sorting bin to be removed first. The same category will also be removed at the other operators' stations. The throughput of each category is, however, subject to different variables, which leads to uneven filling of the sorting bins. This results in certain sorting bins being unloaded empty or nearly empty, while others become overfilled if pressing the button is forgotten. This reduces the efficiency of the removal system and causes uneven bundling of the different categories.

[0003] US20220072587 discloses a system and method for sorting items, wherein an item selection unit with a robotic pick-and-place machine is positioned next to a defined input zone for items. The system further comprises a sorting unit consisting of a horizontal gantry system with multiple degrees of freedom and an area of receiving bins, wherein the gantry system is located above this area. Furthermore, the sorting unit comprises a receiving and dispensing system for items, coupled to and controlled by the gantry system. The system and method make it possible to isolate individual items from a collection and to sort them in a targeted manner into one of multiple sorting bins.

[0004] US11643769 discloses an autonomous sorting device for dividing soiled laundry items into separate wash loads. The device comprises an enclosed channel with multiple successive working volumes and a stationary bottom, in which gripper arms are placed that pass deformable laundry items from one working volume to the next. The laundry is introduced into the channel via an input opening and exits the system via an output opening to sorting compartments.

[0005] In an attempt to overcome these limitations, automated sorting systems have been developed. These systems, for example, use a weight measurement of each sorting bin to avoid the use of said button; however, this system leads to a complex network of sensors and wiring. Although these systems offer an improvement over manual emptying, they require significant initial investments. Additionally, an estimation of the filling level based on the average mass of textile is often unreliable, since the mass does not directly correspond to the actual volume that the textile occupies in the sorting bin. This will lead to an estimation because there is no direct relationship between the fill level and the weight of the garment.

[0006] The use of sensors in textile sorting is known, but the current technical problem concerns the need to use a large number of sensors and associated cabling in sorting systems. When each individual receiving bin is equipped with its own sensor and the requisite cabling, this results not only in a significant increase in the number of physical components but also in a complex and extensive data stream to the control unit. This increases the installation and maintenance costs, complicates fault detection, and reduces the overall reliability and scalability of the system. Therefore, there is a clear need for an advanced textile sorting system with integrated and intelligent management. The present invention aims to at least find a solution to some of the above-mentioned problems or disadvantages.SUMMARY OF THE INVENTION

[0007] In a first aspect, the present invention relates to a method according to claim 1. Preferred embodiments of the method are presented in claims 2 to 8.

[0008] The invention relates to an installation and method for sorting textile, wherein textile items are distributed among multiple sorting bins, each for a specific textile category. The filling level of each sorting bin is determined by sensors that move above the sorting bins. These movable sensors can perform multiple measurements per sorting bin without thereby increasing the number of sensors and cabling. The sensors provide a direct relationship with the filling level and not an estimation as described in the prior art. The sorting bins are emptied based on this filling level. The invention uses a threshold value for the filling level to determine when each sorting bin should be emptied, and multiple sorting bins of the same textile category can be emptied simultaneously as soon as at least one sorting bin exceeds the individual threshold value. The invention optimizes the emptying of sorting bins by emptying only the fullest bins of a certain category, which leads to a more efficient sorting process. The sensors can be automatically activated to determine the filling level after a preset period of inactivity. The invention offers many advantages, including more efficient removal of textile categories and an improved sorting process.

[0009] Another object of the present invention is to optimize the workspace by arranging sorting bins in series, whereby space is efficiently utilized and the sorting process is streamlined.

[0010] A further object of the invention is to achieve an accurate measurement of the filling level of each sorting bin using movable sensors, whereby a detailed insight into the capacity utilization of each bin is obtained.

[0011] An object of the invention is also to automate the emptying process of sorting bins based on the filling level, thereby reducing the need for manual intervention and increasing efficiency.

[0012] Another object is to set individual threshold values for each textile category, which enables a customized approach for different types of textile and prevents over- or underutilization of sorting bins.

[0013] An object is also to simultaneously empty multiple sorting bins of the same textile category when at least one bin exceeds the individual threshold value, thereby further improving the efficiency of the sorting and emptying process.

[0014] An object of the invention is also to compare fill levels within the same textile category to ensure that the sum of the fill levels of emptied bins is as close as possible to the maximum capacity of the final collection device, which results in an optimal use of available capacity.

[0015] An object is to automatically activate sensors after a preset period of inactivity, which contributes to maintaining constant control over the fill levels without continuous manual monitoring.

[0016] An object of the invention is to provide a modular device that is adaptable to different types of textile and quantities, thanks to the ability to arrange multiple serial rows of sorting bins parallel to each other.

[0017] An object is to utilize advanced detection technologies such as ultrasonic, infrared, laser, and object detection for accurately measuring the fill levels, thereby ensuring the reliability and accuracy of the sorting process.

[0018] In a second aspect, the present invention relates to a device according to claim 9. Preferred embodiments of the device are described in dependent claims 10 to 14.

[0019] The device automates the process of determining the filling level of sorting bins and their emptying. This saves time and labor by eliminating manual tasks. By arranging sorting bins in series, the available space is optimally utilized. This provides a more efficient arrangement and minimizes the distance that sensors must travel, which reduces energy consumption. The device can be easily expanded with additional sorting bins or rows, allowing the system to grow with increasing capacity requirements. This makes the system flexible and cost-effective in adapting to changing demands. Because the sensors are movably arranged, they can move above different sorting bins and thus perform a more accurate measurement of the filling level per bin. This means that one sensor can monitor multiple sorting bins.

[0020] In a third aspect, the present invention relates to a use according to claim 15. This use results in an advantageous and optimized sorting process for textile, wherein automation leads to increased accuracy and efficiency. Manual tasks and errors are minimized, while space and energy savings are maximized.DESCRIPTION OF THE FIGURES

[0021] Figure 1 shows a front view of the device according to an embodiment of the present invention. Figure 2 shows a side cross-sectional view of the device according to an embodiment of the present invention. Figure 3 shows a top view of the device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] Unless otherwise defined, all terms used in the description of the invention, including technical and scientific terms, have the meaning as commonly understood by a person skilled in the art to which the invention pertains. For a better understanding of the description of the invention, the following terms are explained explicitly.

[0023] In this document, "a" and "the" refer to both the singular and the plural, unless the context presupposes otherwise. For example, "a segment" means one or more segments.

[0024] When 'approximately' or 'around' is used in this document with a measurable quantity, a parameter, a length of time or moment, and the like, then variations are meant of approx. 20% or less, preferably approx. 10% or less, more preferably approx. 5% or less, even more preferably approx. 1% or less, and even more preferably approx. 0.1% or less than and of the quoted value, insofar as such variations apply in the described invention. It should be understood, however, that the value of the quantity to which the term "about" or "around" is applied is itself specifically disclosed.

[0025] The terms "comprise," "comprising," "consist of," "consisting of," "provided with," "include," "including," "contain," "containing," are synonyms and are inclusive or open terms that indicate the presence of what follows, and which do not exclude or prevent the presence of other components, characteristics, elements, members, steps, as known from or disclosed in the prior art.

[0026] Quoting numeric intervals by the endpoints includes all integers, fractions, and / or real numbers between the endpoints, including those endpoints.

[0027] In the present invention, the term "textile items" refers to all types of garments or household articles made of textile, including but not limited to, shirts, pants, dresses, underwear, jackets, towels, sheets, and accessories such as scarves and gloves.

[0028] The terms "fill level" or "filling level" are to be understood as the degree to which a sorting bin is filled with textile items, usually expressed as a percentage of the total capacity of the sorting bin. It is the quantity of textile items present in a sorting bin in relation to the total capacity of the sorting bin. Preferably, in the present invention, the term "fill level" or "filling level" refers to the volume or quantity of textile items in a sorting bin relative to the total capacity of the sorting bin. It is preferably determined by sensors that measure the height of the textile in the sorting bin.

[0029] The term "sorting bins" refers to the containers or bins in which the textile items are placed based on a textile category.

[0030] The term "textile category," "category of textile," or simply "category" refers to the classification of textile items based on their properties, such as material, type, color, and the like, or combinations thereof. Non-limiting examples of a type of textile are pants, T-shirts, jackets, etc. Non-limiting examples of materials are cotton, linen, silk, polyester, acrylate, wool, etc.

[0031] In the present invention, the term "threshold value" refers to a preset value of the filling level, where if this value is exceeded, the sorting bin is emptied.

[0032] The term "collection device" or "final collection device" refers to the place where the textile items are collected after the sorting bins are emptied for further processing.

[0033] In the present invention, the term "sensors" refers to devices that determine the filling level of the sorting bins. Preferably, the sensors measure the height of the textile in the sorting bins to determine the filling level. They can use various technologies such as ultrasonic, infrared, laser, or object detection.

[0034] The term "emptying system" refers to the mechanism that empties the sorting bins. This can be, for example, an automatically opening bottom plate.

[0035] The term "guide rail" refers to a structure on which the sorting robot, which comprises the sensors, will move, allowing it to move above the sorting bins to determine the filling level.

[0036] The term "regularly" refers to an event or operation that occurs repeatedly upon one or more predetermined conditions being met, without said event or operation taking place according to a fixed time schedule. This may relate, for example, to activating an emptying system when a filling level threshold of a sorting bin is exceeded. The frequency of occurrence may vary depending on external circumstances, such as the supply quantity or the type of material sorted.

[0037] The term "periodically" refers to an event or operation that occurs repeatedly at a constant time frequency, that is, at fixed, preset time intervals, regardless of whether or not additional conditions are met. This may relate, for example, to activating an emptying system every 30 minutes, regardless of the current filling level of the sorting bins or other system parameters. The periodicity can be adjustable, but remains consistent within the application once set.

[0038] In the present invention, the term "final collection device" refers to a place or device to which the textile items from the sorting bins are transported for further processing.

[0039] The term "operator" refers to a human worker or an automated system that has the task, among others, of determining the category of each garment.

[0040] The terms "mobile," "movable," and "transportable" refer to parts, objects, or systems that can be physically moved from one location to another, either by human effort or by automated means.

[0041] In a first aspect, the invention relates to a method for sorting textile.

[0042] The method comprises distributing a quantity of textile items among two or more sorting bins, determining a filling level of the sorting bins by means of one or more movable sensors, and emptying the sorting bins. The use of movable sensors for determining the fill level of sorting bins reduces the need for multiple fixed measuring devices. This leads to a significant reduction in the complexity of the system. Traditional systems often require an extensive setup of sensors with associated wiring for each sorting bin, which not only increases installation and maintenance costs, but also the risk of malfunctions and the resulting downtime. Continuous monitoring is then required to determine when a sorting bin reaches its threshold value. The present invention significantly simplifies this by deploying one or more movable sensors, resulting in a cost-saving solution that is both easier to install and to maintain. The mobility of the sensors makes it possible to monitor the fill level of the sorting bins regularly and / or periodically. Periodic monitoring reduces the data flow between the sensors and the central computer. Regular and / or periodic monitoring allows for a rapid response to changes in the fill level, which makes an efficient and especially timely emptying of the sorting bins possible. This increases the throughput rate of the textile items and minimizes the risk of overflowing sorting bins, which could otherwise lead to delays or damage to the textile items. The ability to determine the fill level accurately and in real-time enables proactive action. By comparing the fill levels of different sorting bins, priority can be given to emptying sorting bins that exceed a certain threshold value or that contribute most to an efficient workflow. An additional advantage of the present invention is the potential improvement of working conditions. By automating the monitoring and emptying process, the need for physical intervention by workers is reduced, which can lower the risk of injuries and improve overall working conditions.

[0043] Preferably, the method first comprises distributing a quantity of textile items among two or more sorting bins, wherein each sorting bin receives textile items belonging to a same textile category. Preferably, the sorting bins are arranged in a series or a matrix. Herein, an initial sorting of the textile items takes place. This first step is aimed at creating a streamlined approach in the further processing by grouping textile items with a similar processing or destination from the start. By dedicating each sorting bin to a specific textile category, multiple textile categories can be processed simultaneously, which increases the processing capacity. Furthermore, multiple sorting bins can also comprise the same textile category. This provides a solution for the varying volumes and types of textile that need to be sorted. If a certain textile category is present in abundance, two or more sorting bins will be designated to receive textile items of this category. This not only ensures effective utilization of the available sorting bins, but also provides the ability to dynamically adapt the sorting process to the quantity and diversity of the incoming textile.

[0044] Preferably, the distribution of the quantity of textile items can be performed in various ways. The distribution will typically be performed by workers who manually sort the textile items and assign them to the correct sorting bins based on their category. Alternatively, an automated system can be set up to sort the textile. This could be achieved through the use of a robot that is specifically programmed to perform this task. Sensors can also be used in this context to detect the properties of the textile items, such as material type, color, texture, and so on. Based on this detection, the textile items can be automatically sorted and assigned to the correct sorting bins. This requires an initial calibration and programming of a system, but can enable efficient and fast sorting. Furthermore, radio frequency identification (RFID) can also be used to tag textile items with RFID tags that contain information about their category. An automated system can then read these tags and guide the textile items to the correct sorting bins based on the RFID data. Even camera systems can be used to capture images of the textile items and to analyze these to determine their category based on visual characteristics.

[0045] Preferably, the method, in a subsequent step, comprises determining a filling level of each sorting bin by means of one or more sensors that are movably arranged above the sorting bins. The sensors will move over the sorting bins. The filling level provides an exact measure of how full or filled a sorting bin is, which is a much more precise approach than subjective visual inspections. Or the use of the indirect relationship between the filling level and the average mass of a textile item. This reduces the risk of both overloading and unnecessary emptying of sorting bins. It ensures that the capacity of the sorting bins is maximally utilized by precisely timing the emptying of sorting bins for the moment it is necessary and not before. This automation, controlled by a measurable parameter such as the filling level, enables real-time decision-making regarding the emptying of sorting bins. Less dependence on manual control and intervention in turn reduces the risk of errors and improves working conditions.

[0046] Furthermore, movable sensors will perform more accurate measurements than fixed sensors because they can perform measurements from different positions. This ensures that just one sensor can determine the fill level of multiple sorting bins.

[0047] Another advantage occurs with unevenly distributed textile in the sorting bins, wherein the filling level on one side of a sorting bin can be different than on the other side. A sensor can perform multiple measurements per sorting bin. A traditional system often makes use of load cells, wherein the filling level is estimated based on the average weight of a garment. The system of the present invention directly measures the filling level of the sorting bins. Additionally, the system has the ability to measure multiple locations per sorting bin. This has the advantage that a more precise determination of the filling level is possible when there are more textile items on one side of the sorting bin than on the other side. With real-time data on the filling level, immediate decisions can be made about emptying the sorting bins, thereby minimizing the risk of delays or standstills in the sorting process. This ensures a continuous flow of materials and improves the overall efficiency. The data obtained from the sensors can be used to dynamically adapt the emptying of the sorting bins. For example, if it is found that certain categories of textile fill up faster, priority will be given to emptying these sorting bins. In the long term, the collected data about the fill levels of the sorting bins can be used for further analysis and process optimization, such as identifying peak times in the supply of certain textile categories or more efficiently scheduling the processing.

[0048] Preferably, the method, in a subsequent step, comprises emptying the sorting bins based on the fill level. Emptying the sorting bins based on their fill level prevents them from being emptied unnecessarily when they are not yet full. Emptying the sorting bins based on the actual fill level ensures a more effective use of time and resources, since only full or sufficiently full sorting bins are emptied. This saves time and reduces the need for labor and energy that would otherwise be spent on emptying partially filled sorting bins. Sorting bins often have fixed dimensions, and the main limiting factor for the capacity is the volume, not the weight. Using the fill level as a criterion ensures that the available space is optimally utilized without the sorting bins overflowing, which can happen if they are monitored solely by weight. Textile items can vary significantly in weight, even within the same category. Light items can quickly fill a sorting bin by volume without adding much weight, while heavier items can have the opposite effect. As a result, a weight measurement can be misleading when determining when a sorting bin is full and needs to be emptied; measuring the fill level is therefore optimal. By making the emptying of the sorting bins dependent on their fill level, a more streamlined and optimized workflow will thus be created.

[0049] According to a further or alternative embodiment, the method comprises emptying each sorting bin whose fill level exceeds a threshold value. The threshold value is preferably a predetermined threshold value. This prevents the sorting bins from becoming overfilled, which would hinder the operation of the sorting process. It ensures that there is always space for new items without requiring manual intervention. Each sorting bin is thus emptied regularly. By proactively emptying sorting bins before they become too full, potential delays in the sorting process are prevented. This helps to maintain a constant throughput of textile items, which is crucial for maintaining high efficiency levels. Preferably, the measurement data from the sensors will be sent to a central control system that analyzes the fill levels. When it exceeds the set threshold value, an emptying mechanism for those specific sorting bins is automatically activated. For this purpose, the sorting bins can be equipped with automated emptying mechanisms, such as bottom plates that open, conveyor belts that are activated, a robot that removes the textile items from the sorting bin, or other systems that efficiently move the collected material to a subsequent processing stage or storage location. This automatic detection and response ensures that the sorting can proceed efficiently, uninterruptedly, and as autonomously as possible, with minimal need for human intervention.

[0050] Preferably, the sorting bins that differ in textile category are emptied sequentially. The sequential emptying of sorting bins based on their textile category ensures an orderly and systematic removal of sorted textile to the next processing step. This makes it easier to process or transport the sorted textile, since each textile category is handled separately and in a controlled sequence.

[0051] Preferably, the threshold value will vary depending on various factors. These factors are, for example, the size of the sorting bins, the type of textile, and the speed at which the textile is sorted. More preferably, the threshold value will be between 50% and 100% of a total capacity of the sorting bin. Preferably, the threshold value is between 60% and 90%, more preferably between 65% and 85%, even more preferably between 70% and 80%, and most preferably around 75%.

[0052] According to a further or alternative embodiment, an individual threshold value is set for each textile category. This approach directly takes into account the varying properties of different types of textile, such as volume, weight, and processing requirements. Some textile categories will take up more space but be lighter, while others are heavier and more compact. The By setting a specific threshold value for each textile category, the emptying process will be optimized to meet these unique requirements. An individual threshold value ensures that each sorting bin is emptied at the most efficient moment. By emptying each textile category based on its specific threshold value, the subsequent storage and / or transport process will thus also be optimized.

[0053] According to a further or alternative embodiment, multiple sorting bins of the same textile category are emptied as soon as at least one sorting bin of that textile category exceeds the individual threshold value, preferably said sorting bins are emptied simultaneously. By emptying multiple sorting bins, a larger quantity of textile will be processed at once. Jointly emptying sorting bins of the same textile category ensures consistent processing of textile types. In a further preferred embodiment, it is possible to preset the number of sorting bins to be emptied, depending on specific operational requirements, such as the required quantity of textile for further processing. If a subsequent processing stage requires a specific quantity of textile of a certain category, the sorting bins can be emptied such that they come as close as possible to this desired quantity. This means that the emptying process is not only activated when an individual sorting bin exceeds the threshold value, but is also optimized to accurately manage the total quantity of textile available for further processing.

[0054] According to a further or alternative embodiment, a predetermined number of sorting bins of the same textile category is emptied as soon as at least one sorting bin of that textile category exceeds the individual threshold value, preferably the predetermined number of sorting bins is at most 10, even more preferably at most 9, even more preferably at most 8, even more preferably at most 7, even more preferably at most 6, even more preferably at most 5, even more preferably at most 4, even more preferably at most 3, and even more preferably at most 2. This method ensures proactive capacity management. By not waiting until all sorting bins are full, but instead anticipating based on the fill level of one sorting bin, it is prevented that the sorting activities come to a standstill because all sorting bins become full at the same time. Determining a maximum number of sorting bins to be emptied offers flexibility. Depending on the operational needs and peaks in the supply of textile to be sorted, this number can be adjusted to maximize efficiency.

[0055] According to a further or alternative embodiment, when the fill level of all sorting bins is lower than the threshold value, a predetermined number of sorting bins with a highest fill level within the same textile category will be emptied. By emptying the sorting bins with the highest fill level, even if they have not yet passed the threshold value, effective use is made of the available capacity. This ensures that space is always available for new textile items, which contributes to a continuous flow without a complete stop to empty multiple sorting bins at once. This method allows the sorting process to dynamically adapt to the varying workload. Preemptively emptying sorting bins before they are full also helps to reduce downtime that would occur if all sorting bins had to be filled and emptied simultaneously.

[0056] According to a further or alternative embodiment, the sorting bins are emptied based on a comparison of the fill levels of sorting bins belonging to a same textile category with a maximum fill level of a final collection device. Preferably, a sum of the fill levels of the emptied sorting bins will be as close as possible to the maximum fill level of the final collection device. The final collection device receives the textile items from the emptied sorting bins. By comparing the fill levels of sorting bins, each assigned to specific textile categories, with the maximum fill level of a final collection device, this approach makes it possible to optimally utilize the capacity of the final collection device. Herein, an optimal combination of sorting bins to be emptied is sought, such that the sum of the fill levels of these sorting bins approaches the maximum fill level of the final collection device as closely as possible without exceeding it. This ensures faster processing of the textile items with less delays. The efficient coordination between the emptying of sorting bins and the capacity of the collection device reduces downtime and interruptions in the process. This is especially important in a high-production environment where every minute of downtime affects productivity. Furthermore, by synchronizing the emptying of sorting bins with the capacity of the collection device, the logistics related to the transport and processing of textiles will be optimized. This minimizes the required labor and resources for moving textiles between different phases of the sorting process.

[0057] According to a further or alternative embodiment, the sensors will perform height measurements at at least 2 different points within each sorting bin for determining the fill level of each sorting bin; preferably, the sensors will perform height measurements at at least 3 different points, more preferably at at least 4 different points, even more preferably at at least 5 different points, and even more preferably at at least 10 different points. Performing multiple height measurements at various points within a single sorting bin provides a more accurate and representative picture of the actual fill level. Traditional methods are typically limited to measuring the filling level at a single point, which results in less accurate measurements due to the uneven distribution of textile items within a sorting bin. Through this approach, significant differences in the distribution of the load within the sorting bin can be effectively identified and taken into account in the calculation of the filling level. It minimizes the risk of overfilling or underfilling of the sorting bins.

[0058] According to a further or alternative embodiment, the textile items from the emptied sorting bins are collected in a final collection device. The final collection device can be a bin. The bin can have any possible dimension and shape. Bins are convenient because they can typically be easily moved, with or without a forklift. The final collection device can be a container. These are similar to bins, but often larger and closable. Containers can be used for storing and transporting large quantities of sorted textiles. They are ideal for transporting textiles to external locations, such as recycling facilities or other processing plants. More specifically, the final collection device can be a roll container. These mobile containers are convenient for internally transporting textiles within a facility. They enable workers to easily move large quantities of sorted textiles from the sorting zone to the storage or processing areas. The final collection device can also be a bag. Flexible collection devices such as large sacks or bags are used for collecting sorted textiles. They are particularly useful for sorting smaller quantities of textiles or for textiles that need to be sent to specific destinations. Although not directly a collection device, pallets are often used in combination with bins, containers, or bags to facilitate the loading, unloading, and transporting of sorted textiles. For facilities engaged in recycling textiles, containers that can compact the textile items can be used to reduce the volume of the collected textiles before it is sent for further processing.

[0059] According to a further or alternative embodiment, the sensors will be automatically activated to determine the filling level after a preset period of inactivity; preferably, the preset period of inactivity is at most 30 minutes, preferably at most 25 minutes, more preferably at most 20 minutes, even more preferably at most 15 minutes, even more preferably at most 10 minutes, even more preferably at most 9 minutes, even more preferably at most 8 minutes, even more preferably at most 7 minutes, even more preferably at most 6 minutes, even more preferably at most 5 minutes, even more preferably at most 4 minutes, even more preferably at most 3 minutes, even more preferably at most 2 minutes, and most preferably at most 1 minute. This ensures regular monitoring of the filling level of the sorting bins. Alternatively, it is also possible that the sensors will move continuously over the sorting bins, without an inactive period, to determine the filling level. By automatically activating the sensors, it is ensured that the filling levels of the sorting bins are regularly updated, regardless of the activity levels. This eliminates the need for constant manual monitoring and intervention, allowing the system to operate autonomously with minimal human intervention. Setting a maximum period of inactivity ensures that the filling level data remains current and reliable. Regular and automatic updates of the filling level information ensure that the sorting process proceeds smoothly and without unnecessary delays, thereby increasing operational efficiency. Changes in the filling levels of sorting bins can be responded to more quickly.

[0060] In a second aspect, the invention relates to a device for sorting textiles. The device is optimal for determining a filling level of sorting bins and automatically emptying the sorting bins. The device is designed to simplify the sorting and processing process by automatically detecting the filling level of each sorting bin and controlling the emptying thereof. It eliminates manual tasks and the premature emptying of sorting bins.

[0061] Preferably, the device comprises two or more sorting bins that are arranged in series, wherein each sorting bin is suitable for receiving textile items of the same textile category. More preferably, the sorting bins are arranged contiguously in series. This means that the sorting bins are not only arranged in series, but also directly next to each other without any gap. This arrangement will be more space-efficient than a dispersed arrangement. One of the most significant advantages is the minimization of the distance that the sensors must travel to determine the filling level of the sorting bins. By minimizing the distance that sensors travel, the energy consumption of the system is also reduced. The sensors need to operate less frequently and over shorter distances, which results in lower energy consumption. A shorter distance also means that the determination of the filling level can be completed more quickly. This increases the throughput speed, whereby more textile items can be processed in less time. Furthermore, said arrangement provides flexibility for potential expansions. As the need for capacity grows, additional sorting bins can easily be inserted into the series without major modifications to the existing infrastructure.

[0062] Preferably, the device is provided with one or more sensors that are placed above the serially arranged sorting bins for measuring a filling level of each sorting bin. The sensors are movably arranged above the sorting bins. Because the sensors are movably arranged, they can move above different sorting bins and thus perform a more accurate measurement of the filling level per bin. The mobility of the sensors provides greater flexibility in monitoring the sorting bins. Sensors that are fixedly installed in one place can only measure the filling level of a limited number of bins, whereas movable sensors make it possible to monitor a larger number of bins without requiring additional sensors. By using movable sensors, the need to place a separate sensor above each sorting bin is eliminated. This leads to a more efficient use of the available space above the sorting bins and can reduce the complexity and cost of the system. The ability to dynamically measure the filling level of each sorting bin makes it possible to optimize the emptying of the sorting bins.

[0063] According to a further or alternative embodiment, multiple serial rows of sorting bins are arranged parallel to each other, wherein a sensor is provided for each serial row of sorting bins, which sensor is movably arranged above said serial row of sorting bins and is configured to measure the filling level of the textile items in each sorting bin of the respective serial row. With one sensor per row, the filling levels of the sorting bins within each row can thus be monitored. Furthermore, the effect of arranging multiple serial rows of sorting bins parallel to each other, with a movable sensor for each row for measuring the filling level, lies in the enhanced scalability and modularity of the sorting process. By arranging the sorting bins in multiple serial rows parallel to each other, the available space within a sorting station is optimally utilized. A matrix of sorting bins is thus formed, as it were. The design offers a modular approach wherein additional rows of sorting bins and sensors can be added as the need grows. This makes the system flexible and easily scalable, allowing it to grow with the increasing quantities of textiles that need to be sorted. Each sensor can move above a row of sorting bins to measure the fill level, which means that the device can simultaneously determine the fill level of multiple sorting bins. This reduces the number of required sensors and cabling, which is beneficial for the cost and complexity. In addition, limiting the number of sensors has a positive impact on the data communication bandwidth. Reducing the number of sensors within a sorting system offers several technical advantages. For example, it leads to a reduction in hardware and installation costs, because fewer sensors and cabling are needed. It also increases the reliability of the system since each individual sensor or cable component constitutes a potential point of failure. Due to the reduction in components, the maintenance requirements also decreases and downtime is limited. Moreover, a limited amount of cabling enables a more compact and more flexible machine construction. The energy consumption and the load on signal processing units also decrease, which benefits the efficiency of the system. Finally, the reduction of sensors allows the sorting process to be controlled intelligently and with minimal physical resources, via central data processing or inference, for example based on filling level models or camera images.

[0064] Preferably, at least 2 sorting bins are arranged in series, more preferably at least 3, more preferably at least 4, more preferably at least 5, more preferably at least 6, more preferably at least 7, more preferably at least 8, more preferably at least 9, more preferably at least 10. Preferably, at least 2 serial rows of sorting bins are arranged parallel to each other, more preferably at least 3, more preferably at least 4, more preferably at least 5, more preferably at least 6, more preferably at least 7, more preferably at least 8, more preferably at least 9, more preferably at least 10.

[0065] According to a further or alternative embodiment, the sorting bins are similar in shape. Alternatively, multiple sorting bins have a different shape. The sorting bins can be rectangular in shape, with equal sides or varying length-to-width ratios, making them suitable for organizing textile items of different sizes. Alternatively, the sorting bins can be square, which allows for a uniform layout for similar textile items.

[0066] According to a further or alternative embodiment, the sorting bins are made of plastic. Sorting bins can be made of durable plastic, making them lightweight and easy to clean, which is ideal for various applications. An alternative option is the use of metal, which provides a robust and durable solution, suitable for heavier items or industrial environments. Sorting bins can optionally be made of wood. Yet another alternative choice is cardboard, which offers an option for temporary or lightweight storage needs, such as, for example, in the retail sector.

[0067] According to a further or alternative embodiment, the one or more sensors are provided on a rail that extends along a width of the sorting bins, wherein the rail is suitable for moving the sensors in a transverse direction, transverse to the width of the sorting bins, along a path that runs parallel to a top side of the sorting bins. The transverse movement of the sensors across the width of the sorting bins ensures complete coverage over all serially placed sorting bins and enables a detailed and accurate measurement of the filling level. The use of a rail for the movement of sensors will lead to cost savings by avoiding the need for multiple fixed sensors per bin. Moreover, this configuration will facilitate maintenance and increase efficiency, since fewer components are needed for the same level of functionality. The rail offers flexibility in the implementation of the one or more sensors, making it adaptable to different sizes and configurations of sorting bins. By moving a rail provided with one or more sensors, space utilization within a sorting station is optimized. This is particularly valuable in environments where available space is limited, and every square meter must be used efficiently. The rail can consist of separate, easily connectable modules. This design allows for rapid adjustment of the rail length to accommodate different widths of sorting bins and facilitates simple expansion or contraction of the system as needed. The rail can have a telescopic construction that extends or retracts to adapt to different distances between the sorting bins. This design would be particularly useful in spaces where the distance between sorting bins varies or in systems that require flexibility for handling different types of textiles or other materials. In addition to carrying sensors for fill-level measurements, the rail can also be equipped with sensors that measure, for example, temperature, humidity, and other relevant environmental parameters. The rail can alternatively also make vertical and longitudinal movements. This would enable sensors to move in three dimensions for an even more thorough inspection and measurement of the fill level. Preferably, the device is provided with a drive for moving the rail along the path. The drive is, for example, an electric motor.

[0068] According to a further or alternative embodiment, the rail is movable along two or more guide rails that guide the rail over the sorting bins. It is advantageous for the rail to be guided by two or more guide rails. This ensures that the movement of the rail proceeds smoothly and stably as it moves over the sorting bins. The guide rails steer the rail in the correct direction and prevent lateral movements that could lead to problems such as the jamming of the rail. The use of multiple guide rails increases the stability and reliability of the system, resulting in an efficient and accurate sorting of items.

[0069] According to a further or alternative embodiment, the device comprises one or more sorting stations. Each sorting station is suitable for distributing the textile items among the one or more sorting bins. The sorting station will receive unsorted textile items and distribute them per textile category among the sorting bins. A sorting station can be either manual or automatic. A sorting station can comprise a work table or workspace where operators manually sort textile items and distribute them among the various sorting bins based on predetermined criteria, such as color, size, fabric type, or other characteristics. The operators can visually inspect and decide which bin each textile item should be placed in. An automatic sorting station can be implemented using machines and sensors that detect and sort the textile items without human intervention. This can be done, for example, using automated conveyor belts, optical scanners, robotic arms, or other advanced systems. The machines can identify the textile items and accurately distribute them to the correct sorting bins based on preset parameters or instructions.

[0070] According to a further or alternative embodiment, the rail comprises a robot for filling one or more sorting stations, wherein each sorting station is suitable for distributing the textile items among the one or more sorting bins.

[0071] More preferably, the rail will be provided with a supply robot that is responsible for supplying textile items to one or more sorting stations. When the rail moves over the sorting bins, this supply robot will supply the sorting stations with unsorted textile items. Thus, while the rail moves over the sorting bins, textile items are simultaneously distributed and the fill level of the sorting bins is measured. The fill level is measured by sensors located on the supply robot. This supply robot can take various forms, such as a conveyor belt, a gripper arm, a pusher tray, and so forth. The supply robot is preferably positioned on the rail above the sorting stations. Preferably, one or more sorting stations are placed along two sides of the sorting bins.

[0072] According to a further or alternative embodiment, the device, and preferably the rail, will be equipped with integrated motors and actuators. These motors would allow for precise control over the position, speed, and movement of the rail, similar to motion control in traditional robotics. By designing the rail as a linear actuator, it can perform direct and precise movements, thereby allowing it to effectively function as a robotic arm. The main impact of this embodiment is the increase in the degree of automation and efficiency within the sorting process. The rail can further also be equipped with sensors that not only measure the fill level but also collect data about the type of textile being sorted. This data can be used for real-time adjustments to the sorting process and for long-term analyses to further improve efficiency. At the beginning or end of the rail, or integrated along its length, various end-effectors (actuating devices) can be provided, such as grippers, suction cups, or other mechanisms suitable for moving textile items. These end-effectors can be controlled by the rail to perform sorting actions, such as picking up and moving textile items to different sorting stations and / or sorting bins. The rail could be controlled by advanced software that enables it to perform tasks autonomously based on predefined algorithms or by means of artificial intelligence and machine learning. This software would enable the rail to adapt to changing circumstances and to optimize its tasks for maximum efficiency. To function as a robot, the rail must be able to communicate with other systems within the sorting facility, such as the central control system, other robots, or even with the cloud for updates and remote monitoring. This communication could be wireless or via a physical connection.

[0073] According to a further or alternative embodiment, the rail is movable over two or more guide rails that guide it above the sorting bins. The guide rails ensure that the moving rail makes efficient use of the available space above the sorting bins. This design minimizes the need for additional freedom of movement or complex mechanisms to achieve full coverage of the sorting bins, thereby reducing overall system complexity and costs. Each set of two guide rails runs parallel to each other, placed on opposite sides of the sorting bins. This configuration provides a stable and guided path for the movement of the rail that carries the sensors or other instruments. The guide rails are positioned parallel to each other to ensure an even and unhindered movement of the rail. This prevents tilting or skewing of the rail during movement. The guide rails are placed along the ends of the sorting bins, allowing the rail to move directly above the sorting bins.

[0074] Preferably, the guide rails are made of a durable material such as steel or aluminum to support the constant load and movement of the rail without significant wear or deformation.

[0075] Preferably, the guide rails have a smooth surface to minimize friction and maximize the energy efficiency of the rail movement. The guide rails can be provided with fastening mechanisms or supports that are securely attached to the structure of the device, so that the guide rails do not shift or bend under the weight of the moving rail. The guide rails can be provided with stop mechanisms or limit switches along the guide rails to limit the movement of the rail and prevent it from moving outside the intended area. Preferably, the robot is provided with wheels which will move over the rail.

[0076] According to a further or alternative embodiment, the rail and / or robot will be configured such that the sensors can perform more than two measurements per sorting bin. For example, the sensors can perform three, four, five, six, seven, or eight measurements per sorting bin. This would allow for an even more accurate determination of the fill level of each sorting bin. With a single measurement, the fill level of a sorting bin can be incorrectly estimated due to an uneven distribution of the textile in the bin, leading to under- or overestimation. By performing multiple measurements per sorting bin using a movable sensor, the fill level can be determined more accurately. As a result, it is sufficient to evaluate multiple sorting bins in succession with a single sensor. The number of required sensors thus becomes independent of the number of sorting bins, which significantly increases the scalability and flexibility of the sorting system. Furthermore, the preset time after which the rail and thus also the sensors are automatically activated to perform a measurement can be adjusted. For example, the preset time can be set to a maximum of 5 minutes, but can alternatively also be a maximum of 25 minutes, a maximum of 20 minutes, a maximum of 15 minutes, a maximum of 10 minutes, a maximum of 9 minutes, a maximum of 8 minutes, a maximum of 7 minutes, a maximum of 6 minutes, a maximum of 5 minutes, a maximum of 4 minutes, a maximum of 3 minutes, a maximum of 2 minutes, or a maximum of 1 minute. This would increase the flexibility of the installation and make it possible to better adapt it to the specific needs of the sorting center.

[0077] According to a further or alternative embodiment, the sensors perform a height measurement to determine the fill level of the sorting bin. Height measurements enable the system to quantify the exact amount of material in a sorting bin, thereby obtaining accurate and reliable data on the fill level. This is especially important in applications where the weight of the sorted material does not directly correlate with the volume or fill height. Height measurements offer flexibility; the system can be adapted to set different threshold values for emptying bins based on specific requirements of the sorted material or operational needs. Alternatively, the sensors can also use other measurement techniques, such as, for example, reflection measurements, a volume scan, an electrical capacitive measurement, a pressure measurement, and the like.

[0078] According to a further or alternative embodiment, the sensors are mounted on an underside of the rail. Further or alternatively, the sensors are provided at a distance of at most 5 m from the bottom of the sorting bin, preferably at most 4 m, more preferably at most 3 m, even more preferably at most 2 m, and even more preferably at most 1 m. By mounting the sensors on the underside of the rail, they are positioned directly above the sorting bin to be measured. This ensures direct and unobstructed measurements of the fill level, which leads to more accurate and reliable data. Positioning the sensors at this optimal distance from the bottom helps to minimize potential disturbances or interferences from external factors, such as air currents, dust, or other environmental influences that could affect the accuracy of the sensors. Placing sensors on the underside of the rail can also contribute to their protection against mechanical damage or accumulation of dirt and dust, which increases their lifespan and reliability. A maximum distance also ensures that the sensors have a sufficiently large range to effectively measure the fill level, even in deep bins, without a decrease in accuracy. This range is a compromise between the need to be close enough for accurate measurements and far enough to potentially be able to survey the entire sorting bin. Furthermore, this also ensures that the robot, equipped with sensors, can move safely above any operators. Maintaining a consistent distance to the bottom of the bin helps in standardizing measurements across different bins and stations, which leads to uniform and comparable data.

[0079] According to a further or alternative embodiment, the one or more sensors are provided with ultrasonic detection technology, infrared detection technology, laser detection technology, object detection technology, or a combination thereof. Ultrasonic sensors provide accurate measurements by measuring the time required for sound waves to reflect from the surface of the material. Laser and IR sensors likewise provide high accuracy by using light waves, wherein the time or phase shift of the reflected light is measured. Object detection technology can identify specific characteristics, which is useful for determining their position and height. These technologies ensure precise measurements, which are essential for effectively monitoring and regulating the fill levels of sorting bins. All of the aforementioned technologies allow for non-contact measurements, which means that no physical interaction with the material is necessary. This minimizes the risk of contamination or damage to the material or the sensors, an important advantage in many industrial processes. Ultrasonic sensors work well in environments where light conditions vary and can be used for both solids and liquids. IR and laser sensors are particularly effective in low-light conditions and can be used for precise measurements over long distances. Object detection technology is versatile for identifying different materials or objects within the bins. These sensors can provide data quickly and continuously, which is essential for real-time monitoring. The capacity for rapid measurements makes it possible to manage the sorting process efficiently and to react quickly to changes in fill levels.

[0080] Further or alternatively, the sensors are optical sensors. These sensors use light (usually an LED or laser) to measure the distance to an object. Reflections of the light from the object are used to calculate the distance. These sensors are useful for accurate measurements over short distances.

[0081] Additionally or alternatively, the sensors are Time-of-Flight (ToF) sensors. ToF sensors measure the time it takes for a light pulse to travel from the sensor to the object and back. This technology is very accurate and can be used for measuring distances in a wide range, from very close up to several meters.

[0082] Additionally or alternatively, the sensors are light detection and ranging (LIDAR) sensors. LIDAR sensors are a type of ToF sensor that use laser light to measure the distance and height of objects. They are particularly useful for accurate measurements over longer distances and in complex environments.

[0083] Additionally or alternatively, the sensors are radar sensors. Radar sensors use radio waves to measure the distance and speed of objects. Although they are often used for vehicle detection and speed measurements, they can also be adapted for height measurements in industrial applications.

[0084] Preferably, the sensors are object detection sensors. Object detection sensors can vary in technology, from infrared (IR) to capacitive or optical, and are designed to identify the presence of objects within their detection range. Their use in height measurements is often indirect; they are particularly useful in applications where it is important to know whether something is present versus the exact distance to the object. They can, for example, be used to confirm that textile is located at a certain height within a sorting bin, which can be a signal to empty the bin or to initiate further analysis by more advanced measurement systems.

[0085] More preferably, the sensors are laser distance sensors. Laser distance sensors use ToF or phase shift principles to obtain very accurate measurements of the distance to an object. These sensors are extremely accurate, even over long distances, and can be used to measure the height of textile stacks within sorting bins with high precision. They are ideal for applications where exact measurements of object heights are needed to make decisions about sorting processes, such as determining the fill level of a bin or optimizing storage density. Lasers can provide very precise distance measurements, which is crucial for optimizing the fill levels and the efficient use of storage space. They can perform measurements quickly, which is essential for real-time monitoring. Laser distance sensors are less affected by the color or material of the object than some other sensor types, making them versatile for use within various sorting environments. They can perform measurements over a wide range, from a few centimeters to tens of meters.

[0086] According to a further or alternative embodiment, each sensor has a range of at most 5000 mm, preferably at most 4500 mm, more preferably at most 4000 mm, more preferably at most 3500 mm, more preferably at most 3000 mm, more preferably at most 2500 mm, more preferably at most 2000 mm, more preferably at most 1500 mm, and even more preferably at most 1000 mm. The sensors with a large range are capable of accurately measuring the fill level of the sorting bins, regardless of the size of the sorting bin.

[0087] According to a further or alternative embodiment, each sorting bin is provided with an emptying system, wherein the emptying system discharges the textile items to a final collection device for further processing of the textile items, preferably the automatic emptying system comprises a bottom plate that automatically opens to allow the textile items to pass through for further processing when the fill level exceeds a threshold value. Alternatively, a sorting bin can be designed with a tilting mechanism wherein the bottom of the sorting bin or even the sorting bin itself tilts to empty the textile items when necessary. Alternatively, a sliding mechanism can be used wherein a plate at the bottom of the sorting bin slides outward to discharge the textile items to a collection device. Alternatively, a vacuum system can be used to suction the textile items from the sorting bins and transport them to a collection point for further processing. Alternatively, a pneumatic system can be applied wherein compressed air is used to move the textile items from the sorting bins to a collection device. Alternatively, a hydraulic system can be used wherein fluid pressure is used to, for example, lower the bottom of the sorting bin, thereby discharging the textile items to a final collection device.

[0088] According to a further or alternative embodiment, the device is provided with a transport device, configured to receive the textile items that have been released from the sorting bins and to further convey said textile items to a final collection device for further processing of the textile items. Preferably, the transport device comprises a conveyor belt.

[0089] According to a further or alternative embodiment, the device comprises a software program that maps the fill level of each sorting bin. This program can control the device to, for example, automatically empty the four fullest sorting bins of the same category, which contributes to a more efficient discharge of the textile categories. Alternatively, this can also be the two, three, five, six, seven, eight, nine, ten, or even more fullest sorting bins. The software program can, for example, also lower the threshold value for sorting bins that often become overfilled and increase the threshold value for sorting bins that are often emptied unnecessarily. This provides a dynamic and adaptive approach that significantly improves the efficiency of the sorting and discharge process. Moreover, the software program can also take into account other variables, such as the speed at which the textile items are sorted and the time required to empty the sorting bins. By taking all these variables into consideration, the software program can determine the optimal threshold values for each textile category and thus further optimize the sorting and discharge process.

[0090] One skilled in the art will appreciate that a device according to a second aspect of the present invention is suitable for carrying out the method according to a first aspect of the present invention. Accordingly, any feature described in this document, both above and below, can relate to each of the aspects of this invention.

[0091] In a third aspect, the invention relates to a use of a method according to the first aspect of the invention or a device according to the second aspect of the invention for sorting textile. First of all, it provides a significant improvement in efficiency through the use of movable sensors that measure the fill level of sorting bins, whereby the sorting process can be optimized. This results in a better use of available space and minimizes waste of time and resources. In addition, automating the sorting process leads to cost savings and increased profitability through savings on labor and acceleration of the process. Moreover, the flexibility of the method and device offers the possibility to adapt to different types of textile and changing market conditions.

[0092] In what follows, the invention is described by way of non-limiting examples and figures illustrating the invention, and which are not intended to and should not be interpreted as limiting the scope of the invention.DESCRIPTION OF THE FIGURES

[0093] Figure 1 shows a front view of a device for sorting textile items, wherein sorting bin (1) is designed to receive and collect textile items of a specific textile category. Sorting is performed based on various characteristics such as material type, color, or other relevant criteria for textile processing. Figure 1 shows five rows of sorting bins (1) placed in parallel, with one sorting bin (1) from each row being visible.

[0094] Above these sorting bins (1), a rail (3) is provided. The rail (3) is the structure on which the sensors (2) are mounted. The rail (3) runs horizontally above the sorting bins (1) and extends over the width (8) thereof. Above each row of sorting bins (1), one sensor (2) is provided. Thus, five sensors (2) are mounted on the rail (3). These sensors (2) are intended for determining the fill level of the underlying sorting bin (1) by means of, for example, ultrasonic, infrared, laser, or object detection technologies. The sensors (2) are movable along the two guide rails (4) in a transverse direction, transverse to the width (8) of the sorting bins. The guide rails (4) are located at the ends of the rail (3) and serve to guide and make movable the rail (3) comprising the sensors (2). This provides a stable and efficient travel path for the sensors (2), so that they can regularly monitor the fill level of the sorting bins (1) and can supply the data for real-time decisions about emptying the sorting bins (1). Each sensor (2) is thus responsible for determining the fill level of the sorting bins (1) in its row. Furthermore, each sensor (2) will preferably perform height measurements at three different points per sorting bin (1) in order to determine the fill level of each sorting bin (1). This will initiate the emptying of the sorting bin (1), prevents overloading of the sorting bin (1), and optimizes the throughput of the textile items.

[0095] Figure 2 shows a side cross-section of the device that illustrates the relationship between the sorting bins and the overhead sensor and guide mechanisms. Five sorting bins (1) are arranged in series and are contiguous. The sensor (2) is located above the sorting bins (1) and is mounted on a rail (3) that is guided by a guide rail (4). The arrow indicates the direction of movement of the rail (3) comprising the sensor(s) (2), giving the sensor (2) the ability to thus monitor the fill level of each sorting bin (1) below. The direction of the arrow on the guide rail thus indicates that the sensor (2) and rail (3) are designed to move back and forth over the guide rail (4). The guide rail (4) provides stability and precision in the movement of the rail (3) and ensures that the sensor (2) can position itself above each sorting bin (1) for determining the fill level.

[0096] Figure 3 shows a top view of a device for sorting textile. In this figure, multiple units of sorting bins (1) can be seen, which sorting bins in each case form a matrix. Figure 3 shows that the sorting bins (1) can have different dimensions. A rail (3) is arranged above the sorting bins (1). The sensors (2) are not visible in this figure, but are positioned along the underside of the rail (3). The rail (3) is supported and guided by two guide rails (4), which are placed on either side of the sorting bins (1). The guide rails (4) facilitate the controlled and precise movement of the rail (3), which is essential for the accuracy and reliability of the sensor measurements.

[0097] On both sides of the matrix of sorting bins, the sorting stations (5) are arranged. These are the places where the textile items are initially sorted and then guided to the sorting bins (1). Below the sorting bins (1), the conveyor belt (7) is shown, which conveys the sorted textile items to the final collection device (6), located at the end of the conveyor belt (7). The conveyor belt (7) runs along the entire length of the sorting bins and ensures an efficient discharge of the textile items from the sorting bins to the final collection device. (6)

[0098] The reference numbers in the figures are: 1= sorting bin 2= sensor 3= rail 4= guide rail 5= sorting station 6= final collection device 7= conveyor belt 8= width of the sorting bins EXAMPLES

[0099] The invention will now be further elucidated by means of the following examples, without, however, being limited thereto.

[0100] Example 1. A sorting center for second-hand clothing uses the installation and method as described in the present invention. The sensors are placed above the sorting bins and move over the sorting bins to measure the fill level. The clothing is sorted by garment type: pants are distributed over three bins, T-shirts go into one bin, and dresses are distributed over two bins. When a sorting bin of a certain category is full, all sorting bins of that same category are automatically emptied. This results in a more efficient discharge of the textile categories and improved sorting of the textile.

[0101] Example 2. In a sorting center, a threshold value is set for each textile category. When the fill level of a sorting bin exceeds this threshold value, all sorting bins of that same textile category are emptied. This leads to a more efficient use of the discharge capacity and possible cost savings.

[0102] Example 3. In a textile sorting center, an installation is set up with multiple sorting bins and a supply robot equipped with sensors. The sensors will perform a height measurement. This measurement is performed by sensors mounted on the underside of a rail. As the rail moves over the various sorting bins, the sensors perform measurements at 3 different points per sorting bin to determine the fill level. A software program maps the fill level of each sorting bin and automatically empties the 4 fullest sorting bins of the same category. As a result, the removal of the textile proceeds more efficiently and the bundling of the textile of the same category is more uniform. When the robot is inactive for an extended period, it is automatically activated after a period of 10 minutes to perform a measurement.

[0103] Example 4. In a textile recycling company, a sorting process is implemented to increase the efficiency and accuracy of textile processing and uses a series of automated and sensor-driven processes to efficiently separate, measure, and process different types of textile.

[0104] The sorting procedure begins when large bales of used textile items are delivered to the facility. An automated system opens these bales and distributes the clothing over multiple sorting stations using a robot on a rail. An operator will then sort these textile items into multiple sorting bins. Each of these sorting bins is assigned to a specific textile category, such as pants T-shirts, dresses, etc. The sorting bins are arranged in a matrix. A movable sensor is mounted on the rail above each row of sorting bins.

[0105] These sensors determine the fill level of each sorting bin. An individual threshold value for the fill level is set for each textile category. As soon as the fill level of a sorting bin exceeds this threshold value, an automatic emptying of at least that sorting bin is initiated.

[0106] The emptying of the sorting bins is carefully coordinated. The sorting bins of the same textile category can, if desired, be emptied simultaneously. Furthermore, during emptying, the maximum fill level of the final collection device is taken into account. The combined fill levels of the bins to be emptied are adjusted such that they come as close as possible to the maximum capacity of the final collection device.

[0107] The rail provided with the sensors is automatically activated to determine the fill levels after a preset period of inactivity, which is a maximum of 10 minutes. This function ensures that the device remains adaptive and responsive, and offers possibilities for real-time adjustments, depending on current production needs and external factors such as the seasonal supply of textile.

[0108] After emptying, the textile items from the sorting bins land on a conveyor belt. This conveyor belt efficiently transports the textile items to the final collection device, where they are further processed or stored.

[0109] The present invention is in no way limited to the embodiments described in the examples and / or shown in the figures. On the contrary, methods according to the present invention can be realized in many different ways without departing from the scope of the invention.

Examples

examples

EXAMPLES

[0099]The invention will now be further elucidated by means of the following examples, without, however, being limited thereto.

[0100]Example 1. A sorting center for second-hand clothing uses the installation and method as described in the present invention. The sensors are placed above the sorting bins and move over the sorting bins to measure the fill level. The clothing is sorted by garment type: pants are distributed over three bins, T-shirts go into one bin, and dresses are distributed over two bins. When a sorting bin of a certain category is full, all sorting bins of that same category are automatically emptied. This results in a more efficient discharge of the textile categories and improved sorting of the textile.

[0101]Example 2. In a sorting center, a threshold value is set for each textile category. When the fill level of a sorting bin exceeds this threshold value, all sorting bins of that same textile category are emptied. This leads to a more efficient use of the...

TECHNICAL FIELD

[0001] The invention relates to the field of textile sorting and processing, wherein a method, a device, and a use are provided for sorting textile.PRIOR ART

[0002] Traditionally, the sorting of textile is performed entirely manually by workers who sort textile items based on their material type, color, and other relevant characteristics. Typically, each operator has a set of sorting bins in which he or she sorts the garments. At preset time intervals, all sorting bins belonging to the same category are emptied and removed. If a sorting bin for a certain category at one of the operators' stations is prematurely full, a button is pressed, for example, causing that sorting bin to be removed first. The same category will also be removed at the other operators' stations. The throughput of each category is, however, subject to different variables, which leads to uneven filling of the sorting bins. This results in certain sorting bins being unloaded empty or nearly empty, while others become overfilled if pressing the button is forgotten. This reduces the efficiency of the removal system and causes uneven bundling of the different categories.

[0003] US20220072587 discloses a system and method for sorting items, wherein an item selection unit with a robotic pick-and-place machine is positioned next to a defined input zone for items. The system further comprises a sorting unit consisting of a horizontal gantry system with multiple degrees of freedom and an area of receiving bins, wherein the gantry system is located above this area. Furthermore, the sorting unit comprises a receiving and dispensing system for items, coupled to and controlled by the gantry system. The system and method make it possible to isolate individual items from a collection and to sort them in a targeted manner into one of multiple sorting bins.

[0004] US11643769 discloses an autonomous sorting device for dividing soiled laundry items into separate wash loads. The device comprises an enclosed channel with multiple successive working volumes and a stationary bottom, in which gripper arms are placed that pass deformable laundry items from one working volume to the next. The laundry is introduced into the channel via an input opening and exits the system via an output opening to sorting compartments.

[0005] In an attempt to overcome these limitations, automated sorting systems have been developed. These systems, for example, use a weight measurement of each sorting bin to avoid the use of said button; however, this system leads to a complex network of sensors and wiring. Although these systems offer an improvement over manual emptying, they require significant initial investments. Additionally, an estimation of the filling level based on the average mass of textile is often unreliable, since the mass does not directly correspond to the actual volume that the textile occupies in the sorting bin. This will lead to an estimation because there is no direct relationship between the fill level and the weight of the garment.

[0006] The use of sensors in textile sorting is known, but the current technical problem concerns the need to use a large number of sensors and associated cabling in sorting systems. When each individual receiving bin is equipped with its own sensor and the requisite cabling, this results not only in a significant increase in the number of physical components but also in a complex and extensive data stream to the control unit. This increases the installation and maintenance costs, complicates fault detection, and reduces the overall reliability and scalability of the system. Therefore, there is a clear need for an advanced textile sorting system with integrated and intelligent management. The present invention aims to at least find a solution to some of the above-mentioned problems or disadvantages.SUMMARY OF THE INVENTION

[0007] In a first aspect, the present invention relates to a method according to claim 1. Preferred embodiments of the method are presented in claims 2 to 8.

[0008] The invention relates to an installation and method for sorting textile, wherein textile items are distributed among multiple sorting bins, each for a specific textile category. The filling level of each sorting bin is determined by sensors that move above the sorting bins. These movable sensors can perform multiple measurements per sorting bin without thereby increasing the number of sensors and cabling. The sensors provide a direct relationship with the filling level and not an estimation as described in the prior art. The sorting bins are emptied based on this filling level. The invention uses a threshold value for the filling level to determine when each sorting bin should be emptied, and multiple sorting bins of the same textile category can be emptied simultaneously as soon as at least one sorting bin exceeds the individual threshold value. The invention optimizes the emptying of sorting bins by emptying only the fullest bins of a certain category, which leads to a more efficient sorting process. The sensors can be automatically activated to determine the filling level after a preset period of inactivity. The invention offers many advantages, including more efficient removal of textile categories and an improved sorting process.

[0009] Another object of the present invention is to optimize the workspace by arranging sorting bins in series, whereby space is efficiently utilized and the sorting process is streamlined.

[0010] A further object of the invention is to achieve an accurate measurement of the filling level of each sorting bin using movable sensors, whereby a detailed insight into the capacity utilization of each bin is obtained.

[0011] An object of the invention is also to automate the emptying process of sorting bins based on the filling level, thereby reducing the need for manual intervention and increasing efficiency.

[0012] Another object is to set individual threshold values for each textile category, which enables a customized approach for different types of textile and prevents over- or underutilization of sorting bins.

[0013] An object is also to simultaneously empty multiple sorting bins of the same textile category when at least one bin exceeds the individual threshold value, thereby further improving the efficiency of the sorting and emptying process.

[0014] An object of the invention is also to compare fill levels within the same textile category to ensure that the sum of the fill levels of emptied bins is as close as possible to the maximum capacity of the final collection device, which results in an optimal use of available capacity.

[0015] An object is to automatically activate sensors after a preset period of inactivity, which contributes to maintaining constant control over the fill levels without continuous manual monitoring.

[0016] An object of the invention is to provide a modular device that is adaptable to different types of textile and quantities, thanks to the ability to arrange multiple serial rows of sorting bins parallel to each other.

[0017] An object is to utilize advanced detection technologies such as ultrasonic, infrared, laser, and object detection for accurately measuring the fill levels, thereby ensuring the reliability and accuracy of the sorting process.

[0018] In a second aspect, the present invention relates to a device according to claim 9. Preferred embodiments of the device are described in dependent claims 10 to 14.

[0019] The device automates the process of determining the filling level of sorting bins and their emptying. This saves time and labor by eliminating manual tasks. By arranging sorting bins in series, the available space is optimally utilized. This provides a more efficient arrangement and minimizes the distance that sensors must travel, which reduces energy consumption. The device can be easily expanded with additional sorting bins or rows, allowing the system to grow with increasing capacity requirements. This makes the system flexible and cost-effective in adapting to changing demands. Because the sensors are movably arranged, they can move above different sorting bins and thus perform a more accurate measurement of the filling level per bin. This means that one sensor can monitor multiple sorting bins.

[0020] In a third aspect, the present invention relates to a use according to claim 15. This use results in an advantageous and optimized sorting process for textile, wherein automation leads to increased accuracy and efficiency. Manual tasks and errors are minimized, while space and energy savings are maximized.DESCRIPTION OF THE FIGURES

[0021] Figure 1 shows a front view of the device according to an embodiment of the present invention. Figure 2 shows a side cross-sectional view of the device according to an embodiment of the present invention. Figure 3 shows a top view of the device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] Unless otherwise defined, all terms used in the description of the invention, including technical and scientific terms, have the meaning as commonly understood by a person skilled in the art to which the invention pertains. For a better understanding of the description of the invention, the following terms are explained explicitly.

[0023] In this document, "a" and "the" refer to both the singular and the plural, unless the context presupposes otherwise. For example, "a segment" means one or more segments.

[0024] When 'approximately' or 'around' is used in this document with a measurable quantity, a parameter, a length of time or moment, and the like, then variations are meant of approx. 20% or less, preferably approx. 10% or less, more preferably approx. 5% or less, even more preferably approx. 1% or less, and even more preferably approx. 0.1% or less than and of the quoted value, insofar as such variations apply in the described invention. It should be understood, however, that the value of the quantity to which the term "about" or "around" is applied is itself specifically disclosed.

[0025] The terms "comprise," "comprising," "consist of," "consisting of," "provided with," "include," "including," "contain," "containing," are synonyms and are inclusive or open terms that indicate the presence of what follows, and which do not exclude or prevent the presence of other components, characteristics, elements, members, steps, as known from or disclosed in the prior art.

[0026] Quoting numeric intervals by the endpoints includes all integers, fractions, and / or real numbers between the endpoints, including those endpoints.

[0027] In the present invention, the term "textile items" refers to all types of garments or household articles made of textile, including but not limited to, shirts, pants, dresses, underwear, jackets, towels, sheets, and accessories such as scarves and gloves.

[0028] The terms "fill level" or "filling level" are to be understood as the degree to which a sorting bin is filled with textile items, usually expressed as a percentage of the total capacity of the sorting bin. It is the quantity of textile items present in a sorting bin in relation to the total capacity of the sorting bin. Preferably, in the present invention, the term "fill level" or "filling level" refers to the volume or quantity of textile items in a sorting bin relative to the total capacity of the sorting bin. It is preferably determined by sensors that measure the height of the textile in the sorting bin.

[0029] The term "sorting bins" refers to the containers or bins in which the textile items are placed based on a textile category.

[0030] The term "textile category," "category of textile," or simply "category" refers to the classification of textile items based on their properties, such as material, type, color, and the like, or combinations thereof. Non-limiting examples of a type of textile are pants, T-shirts, jackets, etc. Non-limiting examples of materials are cotton, linen, silk, polyester, acrylate, wool, etc.

[0031] In the present invention, the term "threshold value" refers to a preset value of the filling level, where if this value is exceeded, the sorting bin is emptied.

[0032] The term "collection device" or "final collection device" refers to the place where the textile items are collected after the sorting bins are emptied for further processing.

[0033] In the present invention, the term "sensors" refers to devices that determine the filling level of the sorting bins. Preferably, the sensors measure the height of the textile in the sorting bins to determine the filling level. They can use various technologies such as ultrasonic, infrared, laser, or object detection.

[0034] The term "emptying system" refers to the mechanism that empties the sorting bins. This can be, for example, an automatically opening bottom plate.

[0035] The term "guide rail" refers to a structure on which the sorting robot, which comprises the sensors, will move, allowing it to move above the sorting bins to determine the filling level.

[0036] The term "regularly" refers to an event or operation that occurs repeatedly upon one or more predetermined conditions being met, without said event or operation taking place according to a fixed time schedule. This may relate, for example, to activating an emptying system when a filling level threshold of a sorting bin is exceeded. The frequency of occurrence may vary depending on external circumstances, such as the supply quantity or the type of material sorted.

[0037] The term "periodically" refers to an event or operation that occurs repeatedly at a constant time frequency, that is, at fixed, preset time intervals, regardless of whether or not additional conditions are met. This may relate, for example, to activating an emptying system every 30 minutes, regardless of the current filling level of the sorting bins or other system parameters. The periodicity can be adjustable, but remains consistent within the application once set.

[0038] In the present invention, the term "final collection device" refers to a place or device to which the textile items from the sorting bins are transported for further processing.

[0039] The term "operator" refers to a human worker or an automated system that has the task, among others, of determining the category of each garment.

[0040] The terms "mobile," "movable," and "transportable" refer to parts, objects, or systems that can be physically moved from one location to another, either by human effort or by automated means.

[0041] In a first aspect, the invention relates to a method for sorting textile.

[0042] The method comprises distributing a quantity of textile items among two or more sorting bins, determining a filling level of the sorting bins by means of one or more movable sensors, and emptying the sorting bins. The use of movable sensors for determining the fill level of sorting bins reduces the need for multiple fixed measuring devices. This leads to a significant reduction in the complexity of the system. Traditional systems often require an extensive setup of sensors with associated wiring for each sorting bin, which not only increases installation and maintenance costs, but also the risk of malfunctions and the resulting downtime. Continuous monitoring is then required to determine when a sorting bin reaches its threshold value. The present invention significantly simplifies this by deploying one or more movable sensors, resulting in a cost-saving solution that is both easier to install and to maintain. The mobility of the sensors makes it possible to monitor the fill level of the sorting bins regularly and / or periodically. Periodic monitoring reduces the data flow between the sensors and the central computer. Regular and / or periodic monitoring allows for a rapid response to changes in the fill level, which makes an efficient and especially timely emptying of the sorting bins possible. This increases the throughput rate of the textile items and minimizes the risk of overflowing sorting bins, which could otherwise lead to delays or damage to the textile items. The ability to determine the fill level accurately and in real-time enables proactive action. By comparing the fill levels of different sorting bins, priority can be given to emptying sorting bins that exceed a certain threshold value or that contribute most to an efficient workflow. An additional advantage of the present invention is the potential improvement of working conditions. By automating the monitoring and emptying process, the need for physical intervention by workers is reduced, which can lower the risk of injuries and improve overall working conditions.

[0043] Preferably, the method first comprises distributing a quantity of textile items among two or more sorting bins, wherein each sorting bin receives textile items belonging to a same textile category. Preferably, the sorting bins are arranged in a series or a matrix. Herein, an initial sorting of the textile items takes place. This first step is aimed at creating a streamlined approach in the further processing by grouping textile items with a similar processing or destination from the start. By dedicating each sorting bin to a specific textile category, multiple textile categories can be processed simultaneously, which increases the processing capacity. Furthermore, multiple sorting bins can also comprise the same textile category. This provides a solution for the varying volumes and types of textile that need to be sorted. If a certain textile category is present in abundance, two or more sorting bins will be designated to receive textile items of this category. This not only ensures effective utilization of the available sorting bins, but also provides the ability to dynamically adapt the sorting process to the quantity and diversity of the incoming textile.

[0044] Preferably, the distribution of the quantity of textile items can be performed in various ways. The distribution will typically be performed by workers who manually sort the textile items and assign them to the correct sorting bins based on their category. Alternatively, an automated system can be set up to sort the textile. This could be achieved through the use of a robot that is specifically programmed to perform this task. Sensors can also be used in this context to detect the properties of the textile items, such as material type, color, texture, and so on. Based on this detection, the textile items can be automatically sorted and assigned to the correct sorting bins. This requires an initial calibration and programming of a system, but can enable efficient and fast sorting. Furthermore, radio frequency identification (RFID) can also be used to tag textile items with RFID tags that contain information about their category. An automated system can then read these tags and guide the textile items to the correct sorting bins based on the RFID data. Even camera systems can be used to capture images of the textile items and to analyze these to determine their category based on visual characteristics.

[0045] Preferably, the method, in a subsequent step, comprises determining a filling level of each sorting bin by means of one or more sensors that are movably arranged above the sorting bins. The sensors will move over the sorting bins. The filling level provides an exact measure of how full or filled a sorting bin is, which is a much more precise approach than subjective visual inspections. Or the use of the indirect relationship between the filling level and the average mass of a textile item. This reduces the risk of both overloading and unnecessary emptying of sorting bins. It ensures that the capacity of the sorting bins is maximally utilized by precisely timing the emptying of sorting bins for the moment it is necessary and not before. This automation, controlled by a measurable parameter such as the filling level, enables real-time decision-making regarding the emptying of sorting bins. Less dependence on manual control and intervention in turn reduces the risk of errors and improves working conditions.

[0046] Furthermore, movable sensors will perform more accurate measurements than fixed sensors because they can perform measurements from different positions. This ensures that just one sensor can determine the fill level of multiple sorting bins.

[0047] Another advantage occurs with unevenly distributed textile in the sorting bins, wherein the filling level on one side of a sorting bin can be different than on the other side. A sensor can perform multiple measurements per sorting bin. A traditional system often makes use of load cells, wherein the filling level is estimated based on the average weight of a garment. The system of the present invention directly measures the filling level of the sorting bins. Additionally, the system has the ability to measure multiple locations per sorting bin. This has the advantage that a more precise determination of the filling level is possible when there are more textile items on one side of the sorting bin than on the other side. With real-time data on the filling level, immediate decisions can be made about emptying the sorting bins, thereby minimizing the risk of delays or standstills in the sorting process. This ensures a continuous flow of materials and improves the overall efficiency. The data obtained from the sensors can be used to dynamically adapt the emptying of the sorting bins. For example, if it is found that certain categories of textile fill up faster, priority will be given to emptying these sorting bins. In the long term, the collected data about the fill levels of the sorting bins can be used for further analysis and process optimization, such as identifying peak times in the supply of certain textile categories or more efficiently scheduling the processing.

[0048] Preferably, the method, in a subsequent step, comprises emptying the sorting bins based on the fill level. Emptying the sorting bins based on their fill level prevents them from being emptied unnecessarily when they are not yet full. Emptying the sorting bins based on the actual fill level ensures a more effective use of time and resources, since only full or sufficiently full sorting bins are emptied. This saves time and reduces the need for labor and energy that would otherwise be spent on emptying partially filled sorting bins. Sorting bins often have fixed dimensions, and the main limiting factor for the capacity is the volume, not the weight. Using the fill level as a criterion ensures that the available space is optimally utilized without the sorting bins overflowing, which can happen if they are monitored solely by weight. Textile items can vary significantly in weight, even within the same category. Light items can quickly fill a sorting bin by volume without adding much weight, while heavier items can have the opposite effect. As a result, a weight measurement can be misleading when determining when a sorting bin is full and needs to be emptied; measuring the fill level is therefore optimal. By making the emptying of the sorting bins dependent on their fill level, a more streamlined and optimized workflow will thus be created.

[0049] According to a further or alternative embodiment, the method comprises emptying each sorting bin whose fill level exceeds a threshold value. The threshold value is preferably a predetermined threshold value. This prevents the sorting bins from becoming overfilled, which would hinder the operation of the sorting process. It ensures that there is always space for new items without requiring manual intervention. Each sorting bin is thus emptied regularly. By proactively emptying sorting bins before they become too full, potential delays in the sorting process are prevented. This helps to maintain a constant throughput of textile items, which is crucial for maintaining high efficiency levels. Preferably, the measurement data from the sensors will be sent to a central control system that analyzes the fill levels. When it exceeds the set threshold value, an emptying mechanism for those specific sorting bins is automatically activated. For this purpose, the sorting bins can be equipped with automated emptying mechanisms, such as bottom plates that open, conveyor belts that are activated, a robot that removes the textile items from the sorting bin, or other systems that efficiently move the collected material to a subsequent processing stage or storage location. This automatic detection and response ensures that the sorting can proceed efficiently, uninterruptedly, and as autonomously as possible, with minimal need for human intervention.

[0050] Preferably, the sorting bins that differ in textile category are emptied sequentially. The sequential emptying of sorting bins based on their textile category ensures an orderly and systematic removal of sorted textile to the next processing step. This makes it easier to process or transport the sorted textile, since each textile category is handled separately and in a controlled sequence.

[0051] Preferably, the threshold value will vary depending on various factors. These factors are, for example, the size of the sorting bins, the type of textile, and the speed at which the textile is sorted. More preferably, the threshold value will be between 50% and 100% of a total capacity of the sorting bin. Preferably, the threshold value is between 60% and 90%, more preferably between 65% and 85%, even more preferably between 70% and 80%, and most preferably around 75%.

[0052] According to a further or alternative embodiment, an individual threshold value is set for each textile category. This approach directly takes into account the varying properties of different types of textile, such as volume, weight, and processing requirements. Some textile categories will take up more space but be lighter, while others are heavier and more compact. The By setting a specific threshold value for each textile category, the emptying process will be optimized to meet these unique requirements. An individual threshold value ensures that each sorting bin is emptied at the most efficient moment. By emptying each textile category based on its specific threshold value, the subsequent storage and / or transport process will thus also be optimized.

[0053] According to a further or alternative embodiment, multiple sorting bins of the same textile category are emptied as soon as at least one sorting bin of that textile category exceeds the individual threshold value, preferably said sorting bins are emptied simultaneously. By emptying multiple sorting bins, a larger quantity of textile will be processed at once. Jointly emptying sorting bins of the same textile category ensures consistent processing of textile types. In a further preferred embodiment, it is possible to preset the number of sorting bins to be emptied, depending on specific operational requirements, such as the required quantity of textile for further processing. If a subsequent processing stage requires a specific quantity of textile of a certain category, the sorting bins can be emptied such that they come as close as possible to this desired quantity. This means that the emptying process is not only activated when an individual sorting bin exceeds the threshold value, but is also optimized to accurately manage the total quantity of textile available for further processing.

[0054] According to a further or alternative embodiment, a predetermined number of sorting bins of the same textile category is emptied as soon as at least one sorting bin of that textile category exceeds the individual threshold value, preferably the predetermined number of sorting bins is at most 10, even more preferably at most 9, even more preferably at most 8, even more preferably at most 7, even more preferably at most 6, even more preferably at most 5, even more preferably at most 4, even more preferably at most 3, and even more preferably at most 2. This method ensures proactive capacity management. By not waiting until all sorting bins are full, but instead anticipating based on the fill level of one sorting bin, it is prevented that the sorting activities come to a standstill because all sorting bins become full at the same time. Determining a maximum number of sorting bins to be emptied offers flexibility. Depending on the operational needs and peaks in the supply of textile to be sorted, this number can be adjusted to maximize efficiency.

[0055] According to a further or alternative embodiment, when the fill level of all sorting bins is lower than the threshold value, a predetermined number of sorting bins with a highest fill level within the same textile category will be emptied. By emptying the sorting bins with the highest fill level, even if they have not yet passed the threshold value, effective use is made of the available capacity. This ensures that space is always available for new textile items, which contributes to a continuous flow without a complete stop to empty multiple sorting bins at once. This method allows the sorting process to dynamically adapt to the varying workload. Preemptively emptying sorting bins before they are full also helps to reduce downtime that would occur if all sorting bins had to be filled and emptied simultaneously.

[0056] According to a further or alternative embodiment, the sorting bins are emptied based on a comparison of the fill levels of sorting bins belonging to a same textile category with a maximum fill level of a final collection device. Preferably, a sum of the fill levels of the emptied sorting bins will be as close as possible to the maximum fill level of the final collection device. The final collection device receives the textile items from the emptied sorting bins. By comparing the fill levels of sorting bins, each assigned to specific textile categories, with the maximum fill level of a final collection device, this approach makes it possible to optimally utilize the capacity of the final collection device. Herein, an optimal combination of sorting bins to be emptied is sought, such that the sum of the fill levels of these sorting bins approaches the maximum fill level of the final collection device as closely as possible without exceeding it. This ensures faster processing of the textile items with less delays. The efficient coordination between the emptying of sorting bins and the capacity of the collection device reduces downtime and interruptions in the process. This is especially important in a high-production environment where every minute of downtime affects productivity. Furthermore, by synchronizing the emptying of sorting bins with the capacity of the collection device, the logistics related to the transport and processing of textiles will be optimized. This minimizes the required labor and resources for moving textiles between different phases of the sorting process.

[0057] According to a further or alternative embodiment, the sensors will perform height measurements at at least 2 different points within each sorting bin for determining the fill level of each sorting bin; preferably, the sensors will perform height measurements at at least 3 different points, more preferably at at least 4 different points, even more preferably at at least 5 different points, and even more preferably at at least 10 different points. Performing multiple height measurements at various points within a single sorting bin provides a more accurate and representative picture of the actual fill level. Traditional methods are typically limited to measuring the filling level at a single point, which results in less accurate measurements due to the uneven distribution of textile items within a sorting bin. Through this approach, significant differences in the distribution of the load within the sorting bin can be effectively identified and taken into account in the calculation of the filling level. It minimizes the risk of overfilling or underfilling of the sorting bins.

[0058] According to a further or alternative embodiment, the textile items from the emptied sorting bins are collected in a final collection device. The final collection device can be a bin. The bin can have any possible dimension and shape. Bins are convenient because they can typically be easily moved, with or without a forklift. The final collection device can be a container. These are similar to bins, but often larger and closable. Containers can be used for storing and transporting large quantities of sorted textiles. They are ideal for transporting textiles to external locations, such as recycling facilities or other processing plants. More specifically, the final collection device can be a roll container. These mobile containers are convenient for internally transporting textiles within a facility. They enable workers to easily move large quantities of sorted textiles from the sorting zone to the storage or processing areas. The final collection device can also be a bag. Flexible collection devices such as large sacks or bags are used for collecting sorted textiles. They are particularly useful for sorting smaller quantities of textiles or for textiles that need to be sent to specific destinations. Although not directly a collection device, pallets are often used in combination with bins, containers, or bags to facilitate the loading, unloading, and transporting of sorted textiles. For facilities engaged in recycling textiles, containers that can compact the textile items can be used to reduce the volume of the collected textiles before it is sent for further processing.

[0059] According to a further or alternative embodiment, the sensors will be automatically activated to determine the filling level after a preset period of inactivity; preferably, the preset period of inactivity is at most 30 minutes, preferably at most 25 minutes, more preferably at most 20 minutes, even more preferably at most 15 minutes, even more preferably at most 10 minutes, even more preferably at most 9 minutes, even more preferably at most 8 minutes, even more preferably at most 7 minutes, even more preferably at most 6 minutes, even more preferably at most 5 minutes, even more preferably at most 4 minutes, even more preferably at most 3 minutes, even more preferably at most 2 minutes, and most preferably at most 1 minute. This ensures regular monitoring of the filling level of the sorting bins. Alternatively, it is also possible that the sensors will move continuously over the sorting bins, without an inactive period, to determine the filling level. By automatically activating the sensors, it is ensured that the filling levels of the sorting bins are regularly updated, regardless of the activity levels. This eliminates the need for constant manual monitoring and intervention, allowing the system to operate autonomously with minimal human intervention. Setting a maximum period of inactivity ensures that the filling level data remains current and reliable. Regular and automatic updates of the filling level information ensure that the sorting process proceeds smoothly and without unnecessary delays, thereby increasing operational efficiency. Changes in the filling levels of sorting bins can be responded to more quickly.

[0060] In a second aspect, the invention relates to a device for sorting textiles. The device is optimal for determining a filling level of sorting bins and automatically emptying the sorting bins. The device is designed to simplify the sorting and processing process by automatically detecting the filling level of each sorting bin and controlling the emptying thereof. It eliminates manual tasks and the premature emptying of sorting bins.

[0061] Preferably, the device comprises two or more sorting bins that are arranged in series, wherein each sorting bin is suitable for receiving textile items of the same textile category. More preferably, the sorting bins are arranged contiguously in series. This means that the sorting bins are not only arranged in series, but also directly next to each other without any gap. This arrangement will be more space-efficient than a dispersed arrangement. One of the most significant advantages is the minimization of the distance that the sensors must travel to determine the filling level of the sorting bins. By minimizing the distance that sensors travel, the energy consumption of the system is also reduced. The sensors need to operate less frequently and over shorter distances, which results in lower energy consumption. A shorter distance also means that the determination of the filling level can be completed more quickly. This increases the throughput speed, whereby more textile items can be processed in less time. Furthermore, said arrangement provides flexibility for potential expansions. As the need for capacity grows, additional sorting bins can easily be inserted into the series without major modifications to the existing infrastructure.

[0062] Preferably, the device is provided with one or more sensors that are placed above the serially arranged sorting bins for measuring a filling level of each sorting bin. The sensors are movably arranged above the sorting bins. Because the sensors are movably arranged, they can move above different sorting bins and thus perform a more accurate measurement of the filling level per bin. The mobility of the sensors provides greater flexibility in monitoring the sorting bins. Sensors that are fixedly installed in one place can only measure the filling level of a limited number of bins, whereas movable sensors make it possible to monitor a larger number of bins without requiring additional sensors. By using movable sensors, the need to place a separate sensor above each sorting bin is eliminated. This leads to a more efficient use of the available space above the sorting bins and can reduce the complexity and cost of the system. The ability to dynamically measure the filling level of each sorting bin makes it possible to optimize the emptying of the sorting bins.

[0063] According to a further or alternative embodiment, multiple serial rows of sorting bins are arranged parallel to each other, wherein a sensor is provided for each serial row of sorting bins, which sensor is movably arranged above said serial row of sorting bins and is configured to measure the filling level of the textile items in each sorting bin of the respective serial row. With one sensor per row, the filling levels of the sorting bins within each row can thus be monitored. Furthermore, the effect of arranging multiple serial rows of sorting bins parallel to each other, with a movable sensor for each row for measuring the filling level, lies in the enhanced scalability and modularity of the sorting process. By arranging the sorting bins in multiple serial rows parallel to each other, the available space within a sorting station is optimally utilized. A matrix of sorting bins is thus formed, as it were. The design offers a modular approach wherein additional rows of sorting bins and sensors can be added as the need grows. This makes the system flexible and easily scalable, allowing it to grow with the increasing quantities of textiles that need to be sorted. Each sensor can move above a row of sorting bins to measure the fill level, which means that the device can simultaneously determine the fill level of multiple sorting bins. This reduces the number of required sensors and cabling, which is beneficial for the cost and complexity. In addition, limiting the number of sensors has a positive impact on the data communication bandwidth. Reducing the number of sensors within a sorting system offers several technical advantages. For example, it leads to a reduction in hardware and installation costs, because fewer sensors and cabling are needed. It also increases the reliability of the system since each individual sensor or cable component constitutes a potential point of failure. Due to the reduction in components, the maintenance requirements also decreases and downtime is limited. Moreover, a limited amount of cabling enables a more compact and more flexible machine construction. The energy consumption and the load on signal processing units also decrease, which benefits the efficiency of the system. Finally, the reduction of sensors allows the sorting process to be controlled intelligently and with minimal physical resources, via central data processing or inference, for example based on filling level models or camera images.

[0064] Preferably, at least 2 sorting bins are arranged in series, more preferably at least 3, more preferably at least 4, more preferably at least 5, more preferably at least 6, more preferably at least 7, more preferably at least 8, more preferably at least 9, more preferably at least 10. Preferably, at least 2 serial rows of sorting bins are arranged parallel to each other, more preferably at least 3, more preferably at least 4, more preferably at least 5, more preferably at least 6, more preferably at least 7, more preferably at least 8, more preferably at least 9, more preferably at least 10.

[0065] According to a further or alternative embodiment, the sorting bins are similar in shape. Alternatively, multiple sorting bins have a different shape. The sorting bins can be rectangular in shape, with equal sides or varying length-to-width ratios, making them suitable for organizing textile items of different sizes. Alternatively, the sorting bins can be square, which allows for a uniform layout for similar textile items.

[0066] According to a further or alternative embodiment, the sorting bins are made of plastic. Sorting bins can be made of durable plastic, making them lightweight and easy to clean, which is ideal for various applications. An alternative option is the use of metal, which provides a robust and durable solution, suitable for heavier items or industrial environments. Sorting bins can optionally be made of wood. Yet another alternative choice is cardboard, which offers an option for temporary or lightweight storage needs, such as, for example, in the retail sector.

[0067] According to a further or alternative embodiment, the one or more sensors are provided on a rail that extends along a width of the sorting bins, wherein the rail is suitable for moving the sensors in a transverse direction, transverse to the width of the sorting bins, along a path that runs parallel to a top side of the sorting bins. The transverse movement of the sensors across the width of the sorting bins ensures complete coverage over all serially placed sorting bins and enables a detailed and accurate measurement of the filling level. The use of a rail for the movement of sensors will lead to cost savings by avoiding the need for multiple fixed sensors per bin. Moreover, this configuration will facilitate maintenance and increase efficiency, since fewer components are needed for the same level of functionality. The rail offers flexibility in the implementation of the one or more sensors, making it adaptable to different sizes and configurations of sorting bins. By moving a rail provided with one or more sensors, space utilization within a sorting station is optimized. This is particularly valuable in environments where available space is limited, and every square meter must be used efficiently. The rail can consist of separate, easily connectable modules. This design allows for rapid adjustment of the rail length to accommodate different widths of sorting bins and facilitates simple expansion or contraction of the system as needed. The rail can have a telescopic construction that extends or retracts to adapt to different distances between the sorting bins. This design would be particularly useful in spaces where the distance between sorting bins varies or in systems that require flexibility for handling different types of textiles or other materials. In addition to carrying sensors for fill-level measurements, the rail can also be equipped with sensors that measure, for example, temperature, humidity, and other relevant environmental parameters. The rail can alternatively also make vertical and longitudinal movements. This would enable sensors to move in three dimensions for an even more thorough inspection and measurement of the fill level. Preferably, the device is provided with a drive for moving the rail along the path. The drive is, for example, an electric motor.

[0068] According to a further or alternative embodiment, the rail is movable along two or more guide rails that guide the rail over the sorting bins. It is advantageous for the rail to be guided by two or more guide rails. This ensures that the movement of the rail proceeds smoothly and stably as it moves over the sorting bins. The guide rails steer the rail in the correct direction and prevent lateral movements that could lead to problems such as the jamming of the rail. The use of multiple guide rails increases the stability and reliability of the system, resulting in an efficient and accurate sorting of items.

[0069] According to a further or alternative embodiment, the device comprises one or more sorting stations. Each sorting station is suitable for distributing the textile items among the one or more sorting bins. The sorting station will receive unsorted textile items and distribute them per textile category among the sorting bins. A sorting station can be either manual or automatic. A sorting station can comprise a work table or workspace where operators manually sort textile items and distribute them among the various sorting bins based on predetermined criteria, such as color, size, fabric type, or other characteristics. The operators can visually inspect and decide which bin each textile item should be placed in. An automatic sorting station can be implemented using machines and sensors that detect and sort the textile items without human intervention. This can be done, for example, using automated conveyor belts, optical scanners, robotic arms, or other advanced systems. The machines can identify the textile items and accurately distribute them to the correct sorting bins based on preset parameters or instructions.

[0070] According to a further or alternative embodiment, the rail comprises a robot for filling one or more sorting stations, wherein each sorting station is suitable for distributing the textile items among the one or more sorting bins.

[0071] More preferably, the rail will be provided with a supply robot that is responsible for supplying textile items to one or more sorting stations. When the rail moves over the sorting bins, this supply robot will supply the sorting stations with unsorted textile items. Thus, while the rail moves over the sorting bins, textile items are simultaneously distributed and the fill level of the sorting bins is measured. The fill level is measured by sensors located on the supply robot. This supply robot can take various forms, such as a conveyor belt, a gripper arm, a pusher tray, and so forth. The supply robot is preferably positioned on the rail above the sorting stations. Preferably, one or more sorting stations are placed along two sides of the sorting bins.

[0072] According to a further or alternative embodiment, the device, and preferably the rail, will be equipped with integrated motors and actuators. These motors would allow for precise control over the position, speed, and movement of the rail, similar to motion control in traditional robotics. By designing the rail as a linear actuator, it can perform direct and precise movements, thereby allowing it to effectively function as a robotic arm. The main impact of this embodiment is the increase in the degree of automation and efficiency within the sorting process. The rail can further also be equipped with sensors that not only measure the fill level but also collect data about the type of textile being sorted. This data can be used for real-time adjustments to the sorting process and for long-term analyses to further improve efficiency. At the beginning or end of the rail, or integrated along its length, various end-effectors (actuating devices) can be provided, such as grippers, suction cups, or other mechanisms suitable for moving textile items. These end-effectors can be controlled by the rail to perform sorting actions, such as picking up and moving textile items to different sorting stations and / or sorting bins. The rail could be controlled by advanced software that enables it to perform tasks autonomously based on predefined algorithms or by means of artificial intelligence and machine learning. This software would enable the rail to adapt to changing circumstances and to optimize its tasks for maximum efficiency. To function as a robot, the rail must be able to communicate with other systems within the sorting facility, such as the central control system, other robots, or even with the cloud for updates and remote monitoring. This communication could be wireless or via a physical connection.

[0073] According to a further or alternative embodiment, the rail is movable over two or more guide rails that guide it above the sorting bins. The guide rails ensure that the moving rail makes efficient use of the available space above the sorting bins. This design minimizes the need for additional freedom of movement or complex mechanisms to achieve full coverage of the sorting bins, thereby reducing overall system complexity and costs. Each set of two guide rails runs parallel to each other, placed on opposite sides of the sorting bins. This configuration provides a stable and guided path for the movement of the rail that carries the sensors or other instruments. The guide rails are positioned parallel to each other to ensure an even and unhindered movement of the rail. This prevents tilting or skewing of the rail during movement. The guide rails are placed along the ends of the sorting bins, allowing the rail to move directly above the sorting bins.

[0074] Preferably, the guide rails are made of a durable material such as steel or aluminum to support the constant load and movement of the rail without significant wear or deformation.

[0075] Preferably, the guide rails have a smooth surface to minimize friction and maximize the energy efficiency of the rail movement. The guide rails can be provided with fastening mechanisms or supports that are securely attached to the structure of the device, so that the guide rails do not shift or bend under the weight of the moving rail. The guide rails can be provided with stop mechanisms or limit switches along the guide rails to limit the movement of the rail and prevent it from moving outside the intended area. Preferably, the robot is provided with wheels which will move over the rail.

[0076] According to a further or alternative embodiment, the rail and / or robot will be configured such that the sensors can perform more than two measurements per sorting bin. For example, the sensors can perform three, four, five, six, seven, or eight measurements per sorting bin. This would allow for an even more accurate determination of the fill level of each sorting bin. With a single measurement, the fill level of a sorting bin can be incorrectly estimated due to an uneven distribution of the textile in the bin, leading to under- or overestimation. By performing multiple measurements per sorting bin using a movable sensor, the fill level can be determined more accurately. As a result, it is sufficient to evaluate multiple sorting bins in succession with a single sensor. The number of required sensors thus becomes independent of the number of sorting bins, which significantly increases the scalability and flexibility of the sorting system. Furthermore, the preset time after which the rail and thus also the sensors are automatically activated to perform a measurement can be adjusted. For example, the preset time can be set to a maximum of 5 minutes, but can alternatively also be a maximum of 25 minutes, a maximum of 20 minutes, a maximum of 15 minutes, a maximum of 10 minutes, a maximum of 9 minutes, a maximum of 8 minutes, a maximum of 7 minutes, a maximum of 6 minutes, a maximum of 5 minutes, a maximum of 4 minutes, a maximum of 3 minutes, a maximum of 2 minutes, or a maximum of 1 minute. This would increase the flexibility of the installation and make it possible to better adapt it to the specific needs of the sorting center.

[0077] According to a further or alternative embodiment, the sensors perform a height measurement to determine the fill level of the sorting bin. Height measurements enable the system to quantify the exact amount of material in a sorting bin, thereby obtaining accurate and reliable data on the fill level. This is especially important in applications where the weight of the sorted material does not directly correlate with the volume or fill height. Height measurements offer flexibility; the system can be adapted to set different threshold values for emptying bins based on specific requirements of the sorted material or operational needs. Alternatively, the sensors can also use other measurement techniques, such as, for example, reflection measurements, a volume scan, an electrical capacitive measurement, a pressure measurement, and the like.

[0078] According to a further or alternative embodiment, the sensors are mounted on an underside of the rail. Further or alternatively, the sensors are provided at a distance of at most 5 m from the bottom of the sorting bin, preferably at most 4 m, more preferably at most 3 m, even more preferably at most 2 m, and even more preferably at most 1 m. By mounting the sensors on the underside of the rail, they are positioned directly above the sorting bin to be measured. This ensures direct and unobstructed measurements of the fill level, which leads to more accurate and reliable data. Positioning the sensors at this optimal distance from the bottom helps to minimize potential disturbances or interferences from external factors, such as air currents, dust, or other environmental influences that could affect the accuracy of the sensors. Placing sensors on the underside of the rail can also contribute to their protection against mechanical damage or accumulation of dirt and dust, which increases their lifespan and reliability. A maximum distance also ensures that the sensors have a sufficiently large range to effectively measure the fill level, even in deep bins, without a decrease in accuracy. This range is a compromise between the need to be close enough for accurate measurements and far enough to potentially be able to survey the entire sorting bin. Furthermore, this also ensures that the robot, equipped with sensors, can move safely above any operators. Maintaining a consistent distance to the bottom of the bin helps in standardizing measurements across different bins and stations, which leads to uniform and comparable data.

[0079] According to a further or alternative embodiment, the one or more sensors are provided with ultrasonic detection technology, infrared detection technology, laser detection technology, object detection technology, or a combination thereof. Ultrasonic sensors provide accurate measurements by measuring the time required for sound waves to reflect from the surface of the material. Laser and IR sensors likewise provide high accuracy by using light waves, wherein the time or phase shift of the reflected light is measured. Object detection technology can identify specific characteristics, which is useful for determining their position and height. These technologies ensure precise measurements, which are essential for effectively monitoring and regulating the fill levels of sorting bins. All of the aforementioned technologies allow for non-contact measurements, which means that no physical interaction with the material is necessary. This minimizes the risk of contamination or damage to the material or the sensors, an important advantage in many industrial processes. Ultrasonic sensors work well in environments where light conditions vary and can be used for both solids and liquids. IR and laser sensors are particularly effective in low-light conditions and can be used for precise measurements over long distances. Object detection technology is versatile for identifying different materials or objects within the bins. These sensors can provide data quickly and continuously, which is essential for real-time monitoring. The capacity for rapid measurements makes it possible to manage the sorting process efficiently and to react quickly to changes in fill levels.

[0080] Further or alternatively, the sensors are optical sensors. These sensors use light (usually an LED or laser) to measure the distance to an object. Reflections of the light from the object are used to calculate the distance. These sensors are useful for accurate measurements over short distances.

[0081] Additionally or alternatively, the sensors are Time-of-Flight (ToF) sensors. ToF sensors measure the time it takes for a light pulse to travel from the sensor to the object and back. This technology is very accurate and can be used for measuring distances in a wide range, from very close up to several meters.

[0082] Additionally or alternatively, the sensors are light detection and ranging (LIDAR) sensors. LIDAR sensors are a type of ToF sensor that use laser light to measure the distance and height of objects. They are particularly useful for accurate measurements over longer distances and in complex environments.

[0083] Additionally or alternatively, the sensors are radar sensors. Radar sensors use radio waves to measure the distance and speed of objects. Although they are often used for vehicle detection and speed measurements, they can also be adapted for height measurements in industrial applications.

[0084] Preferably, the sensors are object detection sensors. Object detection sensors can vary in technology, from infrared (IR) to capacitive or optical, and are designed to identify the presence of objects within their detection range. Their use in height measurements is often indirect; they are particularly useful in applications where it is important to know whether something is present versus the exact distance to the object. They can, for example, be used to confirm that textile is located at a certain height within a sorting bin, which can be a signal to empty the bin or to initiate further analysis by more advanced measurement systems.

[0085] More preferably, the sensors are laser distance sensors. Laser distance sensors use ToF or phase shift principles to obtain very accurate measurements of the distance to an object. These sensors are extremely accurate, even over long distances, and can be used to measure the height of textile stacks within sorting bins with high precision. They are ideal for applications where exact measurements of object heights are needed to make decisions about sorting processes, such as determining the fill level of a bin or optimizing storage density. Lasers can provide very precise distance measurements, which is crucial for optimizing the fill levels and the efficient use of storage space. They can perform measurements quickly, which is essential for real-time monitoring. Laser distance sensors are less affected by the color or material of the object than some other sensor types, making them versatile for use within various sorting environments. They can perform measurements over a wide range, from a few centimeters to tens of meters.

[0086] According to a further or alternative embodiment, each sensor has a range of at most 5000 mm, preferably at most 4500 mm, more preferably at most 4000 mm, more preferably at most 3500 mm, more preferably at most 3000 mm, more preferably at most 2500 mm, more preferably at most 2000 mm, more preferably at most 1500 mm, and even more preferably at most 1000 mm. The sensors with a large range are capable of accurately measuring the fill level of the sorting bins, regardless of the size of the sorting bin.

[0087] According to a further or alternative embodiment, each sorting bin is provided with an emptying system, wherein the emptying system discharges the textile items to a final collection device for further processing of the textile items, preferably the automatic emptying system comprises a bottom plate that automatically opens to allow the textile items to pass through for further processing when the fill level exceeds a threshold value. Alternatively, a sorting bin can be designed with a tilting mechanism wherein the bottom of the sorting bin or even the sorting bin itself tilts to empty the textile items when necessary. Alternatively, a sliding mechanism can be used wherein a plate at the bottom of the sorting bin slides outward to discharge the textile items to a collection device. Alternatively, a vacuum system can be used to suction the textile items from the sorting bins and transport them to a collection point for further processing. Alternatively, a pneumatic system can be applied wherein compressed air is used to move the textile items from the sorting bins to a collection device. Alternatively, a hydraulic system can be used wherein fluid pressure is used to, for example, lower the bottom of the sorting bin, thereby discharging the textile items to a final collection device.

[0088] According to a further or alternative embodiment, the device is provided with a transport device, configured to receive the textile items that have been released from the sorting bins and to further convey said textile items to a final collection device for further processing of the textile items. Preferably, the transport device comprises a conveyor belt.

[0089] According to a further or alternative embodiment, the device comprises a software program that maps the fill level of each sorting bin. This program can control the device to, for example, automatically empty the four fullest sorting bins of the same category, which contributes to a more efficient discharge of the textile categories. Alternatively, this can also be the two, three, five, six, seven, eight, nine, ten, or even more fullest sorting bins. The software program can, for example, also lower the threshold value for sorting bins that often become overfilled and increase the threshold value for sorting bins that are often emptied unnecessarily. This provides a dynamic and adaptive approach that significantly improves the efficiency of the sorting and discharge process. Moreover, the software program can also take into account other variables, such as the speed at which the textile items are sorted and the time required to empty the sorting bins. By taking all these variables into consideration, the software program can determine the optimal threshold values for each textile category and thus further optimize the sorting and discharge process.

[0090] One skilled in the art will appreciate that a device according to a second aspect of the present invention is suitable for carrying out the method according to a first aspect of the present invention. Accordingly, any feature described in this document, both above and below, can relate to each of the aspects of this invention.

[0091] In a third aspect, the invention relates to a use of a method according to the first aspect of the invention or a device according to the second aspect of the invention for sorting textile. First of all, it provides a significant improvement in efficiency through the use of movable sensors that measure the fill level of sorting bins, whereby the sorting process can be optimized. This results in a better use of available space and minimizes waste of time and resources. In addition, automating the sorting process leads to cost savings and increased profitability through savings on labor and acceleration of the process. Moreover, the flexibility of the method and device offers the possibility to adapt to different types of textile and changing market conditions.

[0092] In what follows, the invention is described by way of non-limiting examples and figures illustrating the invention, and which are not intended to and should not be interpreted as limiting the scope of the invention.DESCRIPTION OF THE FIGURES

[0093] Figure 1 shows a front view of a device for sorting textile items, wherein sorting bin (1) is designed to receive and collect textile items of a specific textile category. Sorting is performed based on various characteristics such as material type, color, or other relevant criteria for textile processing. Figure 1 shows five rows of sorting bins (1) placed in parallel, with one sorting bin (1) from each row being visible.

[0094] Above these sorting bins (1), a rail (3) is provided. The rail (3) is the structure on which the sensors (2) are mounted. The rail (3) runs horizontally above the sorting bins (1) and extends over the width (8) thereof. Above each row of sorting bins (1), one sensor (2) is provided. Thus, five sensors (2) are mounted on the rail (3). These sensors (2) are intended for determining the fill level of the underlying sorting bin (1) by means of, for example, ultrasonic, infrared, laser, or object detection technologies. The sensors (2) are movable along the two guide rails (4) in a transverse direction, transverse to the width (8) of the sorting bins. The guide rails (4) are located at the ends of the rail (3) and serve to guide and make movable the rail (3) comprising the sensors (2). This provides a stable and efficient travel path for the sensors (2), so that they can regularly monitor the fill level of the sorting bins (1) and can supply the data for real-time decisions about emptying the sorting bins (1). Each sensor (2) is thus responsible for determining the fill level of the sorting bins (1) in its row. Furthermore, each sensor (2) will preferably perform height measurements at three different points per sorting bin (1) in order to determine the fill level of each sorting bin (1). This will initiate the emptying of the sorting bin (1), prevents overloading of the sorting bin (1), and optimizes the throughput of the textile items.

[0095] Figure 2 shows a side cross-section of the device that illustrates the relationship between the sorting bins and the overhead sensor and guide mechanisms. Five sorting bins (1) are arranged in series and are contiguous. The sensor (2) is located above the sorting bins (1) and is mounted on a rail (3) that is guided by a guide rail (4). The arrow indicates the direction of movement of the rail (3) comprising the sensor(s) (2), giving the sensor (2) the ability to thus monitor the fill level of each sorting bin (1) below. The direction of the arrow on the guide rail thus indicates that the sensor (2) and rail (3) are designed to move back and forth over the guide rail (4). The guide rail (4) provides stability and precision in the movement of the rail (3) and ensures that the sensor (2) can position itself above each sorting bin (1) for determining the fill level.

[0096] Figure 3 shows a top view of a device for sorting textile. In this figure, multiple units of sorting bins (1) can be seen, which sorting bins in each case form a matrix. Figure 3 shows that the sorting bins (1) can have different dimensions. A rail (3) is arranged above the sorting bins (1). The sensors (2) are not visible in this figure, but are positioned along the underside of the rail (3). The rail (3) is supported and guided by two guide rails (4), which are placed on either side of the sorting bins (1). The guide rails (4) facilitate the controlled and precise movement of the rail (3), which is essential for the accuracy and reliability of the sensor measurements.

[0097] On both sides of the matrix of sorting bins, the sorting stations (5) are arranged. These are the places where the textile items are initially sorted and then guided to the sorting bins (1). Below the sorting bins (1), the conveyor belt (7) is shown, which conveys the sorted textile items to the final collection device (6), located at the end of the conveyor belt (7). The conveyor belt (7) runs along the entire length of the sorting bins and ensures an efficient discharge of the textile items from the sorting bins to the final collection device. (6)

[0098] The reference numbers in the figures are: 1= sorting bin 2= sensor 3= rail 4= guide rail 5= sorting station 6= final collection device 7= conveyor belt 8= width of the sorting bins EXAMPLES

[0099] The invention will now be further elucidated by means of the following examples, without, however, being limited thereto.

[0100] Example 1. A sorting center for second-hand clothing uses the installation and method as described in the present invention. The sensors are placed above the sorting bins and move over the sorting bins to measure the fill level. The clothing is sorted by garment type: pants are distributed over three bins, T-shirts go into one bin, and dresses are distributed over two bins. When a sorting bin of a certain category is full, all sorting bins of that same category are automatically emptied. This results in a more efficient discharge of the textile categories and improved sorting of the textile.

[0101] Example 2. In a sorting center, a threshold value is set for each textile category. When the fill level of a sorting bin exceeds this threshold value, all sorting bins of that same textile category are emptied. This leads to a more efficient use of the discharge capacity and possible cost savings.

[0102] Example 3. In a textile sorting center, an installation is set up with multiple sorting bins and a supply robot equipped with sensors. The sensors will perform a height measurement. This measurement is performed by sensors mounted on the underside of a rail. As the rail moves over the various sorting bins, the sensors perform measurements at 3 different points per sorting bin to determine the fill level. A software program maps the fill level of each sorting bin and automatically empties the 4 fullest sorting bins of the same category. As a result, the removal of the textile proceeds more efficiently and the bundling of the textile of the same category is more uniform. When the robot is inactive for an extended period, it is automatically activated after a period of 10 minutes to perform a measurement.

[0103] Example 4. In a textile recycling company, a sorting process is implemented to increase the efficiency and accuracy of textile processing and uses a series of automated and sensor-driven processes to efficiently separate, measure, and process different types of textile.

[0104] The sorting procedure begins when large bales of used textile items are delivered to the facility. An automated system opens these bales and distributes the clothing over multiple sorting stations using a robot on a rail. An operator will then sort these textile items into multiple sorting bins. Each of these sorting bins is assigned to a specific textile category, such as pants T-shirts, dresses, etc. The sorting bins are arranged in a matrix. A movable sensor is mounted on the rail above each row of sorting bins.

[0105] These sensors determine the fill level of each sorting bin. An individual threshold value for the fill level is set for each textile category. As soon as the fill level of a sorting bin exceeds this threshold value, an automatic emptying of at least that sorting bin is initiated.

[0106] The emptying of the sorting bins is carefully coordinated. The sorting bins of the same textile category can, if desired, be emptied simultaneously. Furthermore, during emptying, the maximum fill level of the final collection device is taken into account. The combined fill levels of the bins to be emptied are adjusted such that they come as close as possible to the maximum capacity of the final collection device.

[0107] The rail provided with the sensors is automatically activated to determine the fill levels after a preset period of inactivity, which is a maximum of 10 minutes. This function ensures that the device remains adaptive and responsive, and offers possibilities for real-time adjustments, depending on current production needs and external factors such as the seasonal supply of textile.

[0108] After emptying, the textile items from the sorting bins land on a conveyor belt. This conveyor belt efficiently transports the textile items to the final collection device, where they are further processed or stored.

[0109] The present invention is in no way limited to the embodiments described in the examples and / or shown in the figures. On the contrary, methods according to the present invention can be realized in many different ways without departing from the scope of the invention.

Examples

examples

EXAMPLES

[0099]The invention will now be further elucidated by means of the following examples, without, however, being limited thereto.

[0100]Example 1. A sorting center for second-hand clothing uses the installation and method as described in the present invention. The sensors are placed above the sorting bins and move over the sorting bins to measure the fill level. The clothing is sorted by garment type: pants are distributed over three bins, T-shirts go into one bin, and dresses are distributed over two bins. When a sorting bin of a certain category is full, all sorting bins of that same category are automatically emptied. This results in a more efficient discharge of the textile categories and improved sorting of the textile.

[0101]Example 2. In a sorting center, a threshold value is set for each textile category. When the fill level of a sorting bin exceeds this threshold value, all sorting bins of that same textile category are emptied. This leads to a more efficient use of the...

Claims

1. A method for sorting textile, the method comprising: - distributing a quantity of textile items among two or more sorting bins, wherein each sorting bin receives textile items belonging to a same textile category, wherein the sorting bins are arranged in series; - determining a fill level of each sorting bin by means of one or more sensors that are movably arranged above the sorting bins and move over the sorting bins; and - emptying the sorting bins based on the fill level.

2. The method according to claim 1, the method further comprising emptying each sorting bin whose filling level exceeds a threshold value, wherein the sorting bins which differ in textile category are emptied sequentially.

3. The method according to claim 2, wherein an individual threshold value is set for each textile category.

4. The method according to any of the preceding claims 2 to 3, wherein multiple sorting bins of the same textile category are emptied as soon as at least one sorting bin of that textile category exceeds the individual threshold value, preferably said sorting bins are emptied simultaneously.

5. The method according to any of the preceding claims 2 to 4, wherein if the fill level of all sorting bins is lower than the threshold value, a predetermined number of sorting bins with a highest fill level within the same textile category are emptied.

6. The method according to any of the preceding claims 1 to 5, wherein the sorting bins are emptied based on a comparison of the fill levels of sorting bins belonging to the same textile category with a maximum fill level of a final collection device, wherein a sum of the fill levels of the emptied sorting bins is as close as possible to the maximum fill level of the final collection device, wherein the final collection device receives the textile items originating from the emptied sorting bins.

7. The method according to any of the preceding claims 1 to 6, wherein the sensors perform height measurements at at least two different points within each sorting bin for determining the fill level of each sorting bin.

8. The method according to any of the preceding claims 1 to 7, wherein the sensors are automatically activated to determine the fill level after a preset period of inactivity, preferably the preset period of inactivity is a maximum of 5 minutes.

9. A device for sorting textile configured to perform the method according to any of claims 1-8, comprising: - two or more sorting bins arranged in series, wherein each sorting bin is suitable for receiving textile items of the same textile category; and - one or more sensors placed above the serially arranged sorting bins for measuring a fill level of each sorting bin, wherein said sensors are movably arranged above the sorting bins.

10. The device according to claim 9, wherein multiple serial rows of sorting bins are arranged parallel to each other, wherein a sensor is provided for each serial row of sorting bins, which sensor is movably arranged above said serial row of sorting bins and is configured to measure the filling level of the textile items in each sorting bin of the respective serial row.

11. The device according to claim 10, wherein the one or more sensors are provided on a rail that extends along a width of the sorting bins, wherein the rail is suitable for moving the sensors in a transverse direction, transverse to the width of the sorting bins, along a path that runs parallel to a top side of the sorting bins.

12. The device according to claim 11, wherein the rail comprises a robot for filling one or more sorting stations, wherein each sorting station is suitable for distributing the textile items among the one or more sorting bins.

13. The device according to any of the preceding claims 9 to 12, wherein the one or more sensors are provided with ultrasonic detection technology, infrared detection technology, laser detection technology, object detection technology, or a combination thereof.

14. The device according to any of the preceding claims 9 to 13, wherein each sensor has a maximum range of 5000 mm.

15. Use of the method according to any of claims 1-8 or the device according to any of claims 9-14 for sorting textile.

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