Intelligent spectrum light supplementing system for plant factory
By using an intelligent spectral supplemental lighting system, combined with environmental sensors and wireless networks, the problem of light incompatibility during the growth stage in plant factories has been solved, achieving efficient and energy-saving light management and remote control, and improving planting efficiency and automation level.
Patent Information
- Application Number
- CN202511294465.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-11
- Publication Date
- 2025-11-25
AI Technical Summary
Existing plant factory lighting equipment cannot adjust the spectrum according to the plant's growth stage, resulting in unsatisfactory lighting effects, demanding requirements for the location of managers, and problems such as energy waste and growth stagnation.
An intelligent spectral supplementary lighting system is adopted, which combines an environmental sensing module, a data processing module, a multi-band LED light source module, and a remote interaction module to realize real-time adjustment and remote control of the spectrum and light intensity. It uses sensors to detect environmental conditions and preset algorithms to calculate spectral requirements, and interacts with user equipment through a wireless network.
It enables precise supplemental lighting based on plant growth stages, reducing energy waste, simplifying management processes, and improving planting efficiency and automation levels.
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Figure CN121003097A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent agricultural lighting, and more particularly to an intelligent spectral supplemental lighting system and method for plant factories. Background Technology
[0002] Plant factories are facilities that produce plants in an artificial environment. They are characterized by the ability to artificially control and adjust the external environment of plants, such as light, humidity, water, and fertilizer, in order to achieve efficient, environmentally friendly, and sustainable plant production.
[0003] When producing crops in plant factories, it is often necessary to deal with plants that have a high rate of photosynthesis. Light intensity, light quality, and light duration directly affect the growth and development of these plants. In existing plant factories, supplemental lighting equipment mostly consists of traditional fluorescent lamps or ordinary LED lights, which cannot adjust the spectrum according to the different growth stages of the specific plants being grown, resulting in unsatisfactory lighting effects.
[0004] This, in turn, affects the yield and quality of the planted crops.
[0005] However, in the process of implementing the inventive technical solution in the embodiments of this application, the inventors of this application discovered that the above-mentioned technology has at least the following technical problems:
[0006] 1. The LED lighting spectrum of plant factory supplemental lighting fixtures is fixed and cannot adapt to the different spectral requirements of different growth stages or conditions of the plants.
[0007] 2. LED lighting equipment for plant factories requires on-site control, which places stringent requirements on the location of the manager and makes management inconvenient;
[0008] 3. LED lighting equipment for plant factories: Excessive supplemental lighting can lead to energy waste, while insufficient supplemental lighting can affect the efficient growth of plant plants. Summary of the Invention
[0009] This application provides an intelligent spectral supplemental lighting system and its control method for plant factories. It solves the technical problems in the prior art, such as the fixed illumination spectrum of supplemental lighting fixtures in plant factories, the energy waste and stunted plant growth caused by excessive or insufficient lighting, and the need for on-site operation of supplemental lighting fixtures during management. It achieves efficient energy utilization while ensuring the normal growth of plant crops. In addition, it enables remote control of the supplemental lighting fixtures in plant factories through user equipment adjustment.
[0010] This application provides an intelligent spectral supplemental lighting system for plant factories, including:
[0011] An environmental sensing module is used to detect the environmental conditions around the plant growth area to generate initial data.
[0012] The data processing module is used to acquire second initial data for reference, which is preset plant growth data. It is also used to receive first initial data detected by the environmental sensing module, and calculate and generate first control data based on the first initial data and the second initial data.
[0013] A control output module is used to receive first control data from the data processing module and control the multi-band LED light source module according to the first control data.
[0014] The multi-band LED light source module consists of multiple LED light sources of different bands and is controlled by the control output module to emit light composed of combinations of different bands.
[0015] The remote interaction module is used to establish a communication connection with a user device.
[0016] By utilizing the intelligent spectral supplementary lighting system for plant factories provided in this application, combined with a multi-band LED lighting module, the technical problem that the LED lighting spectrum of existing plant factory supplementary lighting fixtures is fixed and cannot adapt to the different spectral requirements of different growth stages or conditions of plant plants can be solved. This achieves the technical effect of precise supplementary lighting for plant plants and promoting their efficient growth.
[0017] Furthermore, the environmental sensing module includes at least one of a temperature and humidity sensor, a CO2 concentration sensor, and a light intensity sensor. The first initial data includes at least one of ambient temperature, ambient humidity, CO2 concentration, and ambient light intensity. The calculation of the first control data is based on a preset algorithm.
[0018] By utilizing an environmental sensing module, the surrounding environmental conditions of the plant can be detected. Combined with a preset algorithm input by the user's device, the light spectrum and intensity required for the plant to grow are determined. This solves the technical problem in existing technologies where the external environment is easily changed and the optimal light spectrum and intensity for plant growth constantly change with the environment, thus achieving the technical effect of promoting the efficient growth of plants.
[0019] Furthermore, the remote interaction module can transmit the first initial data or the working status of the multi-band LED light source module to the user equipment, and the user equipment can control the supplementary lighting operation in the system through the wireless network.
[0020] By leveraging wireless networks and utilizing remote interaction modules to exchange data with user devices, the technical problem of existing LED lighting equipment for plant factories requiring on-site control and placing stringent requirements on the location of managers has been solved. This enables remote management of plant cultivation and reduces the location requirements for managers.
[0021] In addition, this application also provides a method for supplemental lighting in a plant factory, utilizing any of the above-mentioned intelligent spectral supplemental lighting systems for plant factories, including the following steps:
[0022] S1: The remote interaction module connects to the user equipment via a wireless network;
[0023] S2: The environmental sensing module detects the environment around the planted plants and generates the first initial...
[0024] Initial data;
[0025] S3: Acquire second initial data for supplemental lighting control;
[0026] S4: The data processing module generates the first initial data based on the first initial data and the second initial data.
[0027] Control data;
[0028] S5: The control output module receives first control data from the data processing module and controls the multi-band LED light source module according to the first control data;
[0029] S6: The remote interaction module sends the first initial data and the current working status of the multi-band LED light source module to the user equipment;
[0030] The above-mentioned method for supplemental lighting in plant factories solves the technical problem that LED spectrum needs to be manually adjusted, which is time-consuming and labor-intensive, and realizes automated and remote management of plant cultivation.
[0031] Furthermore, S3 to S5 can be replaced by S', where S' specifically refers to: the control output module receiving second control data from the user equipment and controlling the multi-band LED light source module according to the second control data, allowing the administrator to manually control the lamps to meet management needs.
[0032] Furthermore, the control priority of the second control data on the multi-band LED light source module is higher than that of the first control data on the multi-band LED light source module, thus avoiding the situation where the growth of the plant is affected when the system malfunctions in processing the supplemental lighting data for the plant.
[0033] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:
[0034] 1. This application utilizes multiple sensors combined with reference data, along with a preset algorithm input by the user equipment, to calculate and adjust the spectrum and light quality required for real-time planting of plants. This solves the technical problem in the prior art where the lighting spectrum of supplemental lighting fixtures in plant factories is fixed, and excessive or insufficient lighting leads to energy waste and hindered plant growth, respectively. It achieves energy-saving and efficient supplemental lighting for plants, saving energy while ensuring efficient plant growth.
[0035] 2. This application also utilizes a remote interaction module to transmit data information with user equipment in a wireless communication network, which solves the technical problem that the location status of plant managers is limited in the prior art, and realizes the technical effect that plant managers can remotely manage planted plants, thus freeing up human resources to a certain extent.
[0036] 3. This application also utilizes a data processing module, a control output module, and a multi-band LED light source lighting module to automatically adjust the spectral intensity of supplemental lighting for planted plants based on detected external environmental data. This solves the problem of time-consuming and labor-intensive plant cultivation and high human resource consumption in the prior art, and realizes automated management of planted plants. Attached Figure Description
[0037] Figure 1 This is a block diagram of the system structure of the present invention;
[0038] Figure 2 This is a flowchart (executed sequentially) of a method for supplemental lighting in a plant factory according to the present invention;
[0039] Figure 3 This is a flowchart of a method for supplemental lighting in a plant factory according to the present invention (with the order changed);
[0040] Figure 4 This is a flowchart of a method for supplemental lighting in a plant factory according to the present invention (executed in parallel);
[0041] Figure 5 This is the fourth step in the flowchart of a manual control method for a plant factory according to the present invention;
[0042] Figure 6 This is a transmission path diagram of the first initial data of the present invention;
[0043] Figure 7 This is a transmission path diagram for the second initial data of the present invention;
[0044] Figure 8 This is a transmission path diagram for the first control data of the present invention;
[0045] Figure 9 This is a transmission path diagram for the second control data of the present invention. Detailed Implementation
[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0047] The invention is described in more detail in the following paragraphs. Unless explicitly stated otherwise, each aspect thus described may be combined with any other aspect or multiple aspects. In particular, any feature described as preferred or advantageous may be combined with any other feature or multiple features described as preferred or advantageous.
[0048] In the context of this invention, unless the context indicates otherwise, the terms used shall be interpreted according to the following definitions. Unless the context explicitly indicates otherwise, the singular forms “an,” “a,” “the,” and “this” as used herein include both singular and plural references.
[0049] The terms “comprising” and “including” as used herein are synonymous with “containing” and are inclusive or open-ended, and do not exclude additional, unspecified members, elements or method features.
[0050] Unless otherwise defined, all terms used in this disclosure, including technical and scientific terms, shall have the meanings commonly understood by one of ordinary skill in the art to which this invention pertains. Further examples are provided herein, including terminology definitions, to better understand the teachings of this invention.
[0051] Example 1
[0052] like Figure 1 As shown in this embodiment, an intelligent spectral supplementary lighting system for a plant factory includes: an environmental sensing module for detecting and generating first initial data, wherein the first initial data is the environmental conditions surrounding the plant growth; a data processing module for acquiring second initial data as a reference, wherein the second initial data is preset plant growth data, and is also used to receive the first initial data detected by the environmental sensing module, and calculate first control data based on the first initial data and the second initial data; a control output module for receiving the first control data from the data processing module, and controlling the multi-band LED light source module according to the first control data; the multi-band LED light source module is composed of multiple LED light sources of different wavelengths, controlled by the control output module, and emits light composed of combinations of different wavelengths; and a remote interaction module for realizing a communication connection with a user device.
[0053] In the intelligent spectral supplementary lighting system for plant factories, the remote interaction module can receive second initial data and a preset algorithm from the user device and transmit them to the data processing module. The data processing module uses the second initial data and the first initial data from the environmental sensing module to calculate the most favorable spectrum and light intensity command for the growth of the currently planted plants according to the preset algorithm. The command is packaged into first control data and sent to the control output module to control the multi-band LED light source module to emit light of a specified band and intensity to supplement the light for the planted plants.
[0054] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0055] The intelligent spectral supplemental lighting system for plant factories provided in this embodiment uses sensors to detect the growth environment and status of the plant. At the same time, it combines an external plant growth database with a preset algorithm that is manually input and saved to adaptively adjust the supplemental lighting spectrum intensity for the plant. This solves the technical problem of fixed supplemental lighting spectrum intensity and low supplemental lighting efficiency in the prior art, and realizes the technical effect of adjusting the supplemental lighting spectrum intensity according to the real-time situation to provide efficient supplemental lighting for the plant.
[0056] Example 2
[0057] like Figure 1 As shown in this embodiment, an intelligent spectral supplementary lighting system for a plant factory includes: an environmental sensing module for detecting first initial data, which is the environmental conditions surrounding the plant growth; a data processing module for connecting to an external plant growth database to obtain second initial data, which is plant growth data, and also for receiving the first initial data detected by the environmental sensing module, comparing it with the second initial data, and calculating control data; a control output module for receiving the first control data from the data processing module and controlling the lighting according to the first control data; a multi-band LED light source module composed of multiple LED light sources of different bands, controlled by the control output module, emitting different lights; and a remote interaction module for connecting to user equipment.
[0058] The environmental sensing module includes at least one of a temperature and humidity sensor, a CO2 concentration sensor, and a light intensity sensor. The first initial data includes at least one of an ambient temperature, ambient humidity, CO2 concentration, and ambient light intensity. The calculation of the first control data is based on a preset algorithm.
[0059] Furthermore, the intelligent spectral supplementary lighting system for plant factories provided in this embodiment allows plant management personnel to send the second initial data and a preset algorithm to a remote interaction module via a user device in a wireless network. The remote interaction module then aggregates and transmits the data to a data processing module. Simultaneously, the data processing module receives the first initial data from the environmental sensing module and uses the preset algorithm to calculate the most suitable supplementary lighting spectrum and light intensity for the plant growth at this time. The control output module then controls the multi-band LED light source module to perform supplementary lighting operations.
[0060] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0061] This application embodiment utilizes an environmental sensing module to detect the environmental conditions surrounding the plant. Combined with a preset algorithm input by the user device, it determines the light spectrum and intensity that the plant needs to receive additional illumination. This solves the technical problem in the prior art where the external environment of the plant changes easily during its growth, making it difficult for a fixed supplementary light source to meet the plant's growth needs. This achieves the technical effect of providing precise and efficient supplementary lighting for the plant.
[0062] Example 3
[0063] like Figure 1 As shown in this embodiment, an intelligent spectral supplementary lighting system for a plant factory includes: an environmental sensing module for detecting first initial data, which is the environmental conditions surrounding the plant growth; a data processing module for connecting to an external plant growth database to obtain second initial data, which is plant growth data, and also for receiving the first initial data detected by the environmental sensing module, comparing it with the second initial data, and calculating control data; a control output module for receiving the first control data from the data processing module and controlling the lighting according to the first control data; a multi-band LED light source module composed of multiple LED light sources of different bands, controlled by the control output module, emitting different lights; and a remote interaction module for connecting to user equipment.
[0064] The remote interaction module transmits the first initial data or the operating status of the multi-band LED light source module to the user equipment, which then controls the supplementary lighting operation in the system via a wireless network.
[0065] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0066] In this implementation case, by utilizing wireless network technology and combining it with the data exchange mechanism between the remote interaction module and the user equipment, the limitation of existing technologies requiring on-site control of LED lighting equipment for plant factories is effectively solved, reducing the geographical requirements of managers. This technical solution enables remote monitoring and management of the planting process, thereby optimizing management efficiency and reducing dependence on the location of managers.
[0067] Example 4
[0068] like Figure 2 As shown, this embodiment of a plant factory supplemental lighting method utilizes any of the above-mentioned intelligent spectral supplemental lighting systems for plant factories, and includes the following steps:
[0069] S1: The remote interaction module connects to the user equipment via a wireless network;
[0070] S2: The environmental sensing module detects the environment around the planted plants and generates the first initial...
[0071] Initial data;
[0072] S3: Acquire second initial data for supplemental lighting control;
[0073] S4: The data processing module generates the first initial data based on the first initial data and the second initial data.
[0074] Control data;
[0075] S5: The control output module receives first control data from the data processing module and controls the multi-band LED light source module according to the first control data;
[0076] S6: The remote interaction module sends the first initial data and the current working status of the multi-band LED light source module to the user equipment;
[0077] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0078] This embodiment utilizes the aforementioned plant factory supplemental lighting method to solve the technical problem in the prior art where the LED spectrum needs to be manually adjusted, which is time-consuming and labor-intensive, and realizes automated and remote management of plant cultivation.
[0079] Example 5
[0080] like Figure 2-4 As shown, in the plant factory supplemental lighting method described in Example 4, S2 and S3 can be completed in any order to control the entire plant factory supplemental lighting method: S2 can be performed before S3, or S3 can be performed before S2, or S2 and S3 can be performed simultaneously.
[0081] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0082] This embodiment enhances the flexibility of information transmission between the intelligent spectral supplementary lighting system for plant factories and user equipment by adjusting the steps and procedures of the supplementary lighting method for plant factories, thereby improving the management efficiency of plant cultivation.
[0083] Example 6
[0084] like Figure 5 As shown, in the plant factory supplemental lighting method described in Embodiment 4, S3 to S5 can be replaced with S'. The specific content of S' is: the control output module receives second control data from the user equipment and controls the multi-band LED light source module according to the second control data, allowing the administrator to directly control the supplemental lighting fixtures by manually inputting commands.
[0085] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0086] This embodiment adds a manually controlled data transmission path to the system, ensuring that the administrator can directly control the supplementary lighting fixtures to perform supplementary lighting operations when the system fails or when the administrator has special needs, thus improving the stability of the supplementary lighting method.
[0087] Example 7
[0088] like Figure 6 As shown, the first initial data is the result of the environmental sensing module using various sensors to detect the growth of the plant and the growth environment. It is then transmitted to the data processing module or to the remote interaction module and sent to the user device for the plant management personnel to view.
[0089] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0090] This embodiment utilizes the above technical solution to maximize the use of the first initial data. In addition to using the first initial data to calculate the first control data, the first initial data is also transmitted to the user terminal for management personnel to check.
[0091] Example 8
[0092] like Figure 7 As shown, the second initial data is the plant growth data used as a control standard. It can be sourced from an external database or input by the administrator through a user device. It is transmitted to the data processing module through the remote interaction module of the intelligent spectral supplementary lighting system for the plant factory. It is then combined with the first initial data and the first control data is calculated according to a preset algorithm.
[0093] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0094] This embodiment utilizes the above-mentioned technical solution to import the plant growth database and determine the standard for supplemental lighting parameters for planted plants.
[0095] Example 9
[0096] like Figure 8 As shown, the first control data is calculated by the data processing module using the first and second initial data according to a user-preset algorithm. It includes spectral and light intensity commands for real-time supplemental lighting of the planted plants. After being sent by the data processing module to the control output module, it is used to control the multi-band LED light source module to provide supplemental lighting to the planted plants. Furthermore, the first control data is also simultaneously sent by the data processing module to the remote interaction module, and transmitted to the user equipment via a wireless network for inspection by plant management personnel.
[0097] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0098] This embodiment utilizes the above-mentioned technical solution to determine the supplementary light spectrum and light intensity based on the real-time growth of the plant, thereby achieving efficient supplementary lighting for the plant and promoting its growth.
[0099] Example 10
[0100] like Figure 9 As shown, the second control data consists of control parameters for the LED light source input directly from the user equipment by the plant management personnel. After being received by the remote interaction module of the intelligent spectral supplementary lighting system for the plant factory, the data is directly transmitted to the control output module to control the multi-band LED light source module to supplement the light for the plant plants.
[0101] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0102] This embodiment utilizes the above technical solution to ensure that plant management personnel can manage the entire intelligent spectral supplemental lighting system of the plant factory, thus avoiding the situation where the entire system cannot function properly when the data processing module malfunctions.
[0103] Example 11
[0104] Based on the fact that the foregoing embodiments constitute a complete technical solution, the control priority of the second control data on the multi-band LED light source module is higher than the control priority of the first control data on the multi-band LED light source module.
[0105] The technical solutions described in the embodiments of this application have at least the following technical effects or advantages:
[0106] This embodiment utilizes the aforementioned technical means to ensure the management capabilities of planting managers over the entire intelligent spectral supplemental lighting system for plant factories, and avoids the situation where the control output module of the intelligent spectral supplemental lighting system for plant factories reports errors when receiving both the first and second control data.
[0107] Those skilled in the art will understand that embodiments of the present invention can provide methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0108] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0109] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0110] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0111] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.
[0112] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A smart spectral supplemental lighting system for plant factories, characterized in that, include: An environmental sensing module is used to detect the growth environment of the planted plants in order to generate initial data. The data processing module is used to acquire second initial data as a reference, and to calculate and generate first control data based on the first initial data and the second initial data; The multi-band LED light source module consists of multiple LED light sources of different bands, which are controlled by the control output module to emit different lights; A control output module is used to control the multi-band LED light source module according to the first control data; The remote interaction module is used to enable communication with a user device.
2. The intelligent spectral supplemental lighting system for plant factories according to claim 1, characterized in that, The control output module is also used to receive second control data transmitted from the user equipment through the remote interaction module, and to directly control the multi-band LED light source module according to the second control data.
3. The intelligent spectral supplemental lighting system for plant factories according to claim 2, characterized in that, The control output module is configured to, when simultaneously receiving the first control data and the second control data, prioritize executing the control command generated by the second control data.
4. The intelligent spectral supplemental lighting system for plant factories according to claim 1, characterized in that, The environmental sensing module includes at least one of a temperature and humidity sensor, a CO2 concentration sensor, or a light intensity sensor.
5. A smart spectral supplemental lighting method for plant factories, characterized in that, Includes the following steps: The growing environment of the planted plants is examined to generate initial data; Acquire second initial data for supplemental lighting control; Based on the first initial data and the second initial data, the first control data is calculated and generated; Based on the first control data, a multi-band LED light source module is controlled to provide supplementary lighting.
6. The intelligent spectral supplemental lighting method for plant factories according to claim 5, characterized in that, The steps of detecting the growth environment and obtaining the second initial data can be performed in any order or simultaneously.
7. The method according to claim 5, characterized in that, The steps of acquiring the second initial data, generating the first control data, and performing supplemental lighting can be replaced by a manual control step, which includes: receiving the second control data from a user device and directly controlling the multi-band LED light source module to perform supplemental lighting based on the second control data.
8. The method according to claim 7, characterized in that, The control priority of the second control data is higher than that of the first control data.
9. A method for supplemental lighting in a plant factory according to claim 8, characterized in that, The method further includes sending the first initial data or the current operating status of the multi-band LED light source module to the user equipment.
10. A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of claims 5 to 9.
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