Storage medium manufacturing method, storage medium, and data reading method

By determining the number and order of spectral channels and selecting appropriate material types and concentrations to manufacture storage units, the problem of low storage density of existing storage media is solved and high-density data storage is achieved.

CN116665721BActive Publication Date: 2025-10-10TSINGHUA UNIVERSITY +1
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Patent Information

Application Number
CN202310701007.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-13
Publication Date
2025-10-10
Estimated Expiration
2043-06-13

AI Technical Summary

Technical Problem

The storage density of existing storage media is low and it is difficult to adapt to the storage needs of large amounts of data.

Method used

By determining the number and order of spectral channels, selecting appropriate material types and concentrations, and manufacturing storage units to store multi-dimensional data, spectral information of multiple material types and concentrations is used for data storage.

Benefits of technology

The data storage density is improved to meet the storage needs of large amounts of data.

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Abstract

The present disclosure relates to a storage medium manufacturing method, a storage medium and a data reading method. The storage medium manufacturing method comprises: determining a spectral channel number and a spectral channel order according to to-be-stored information; determining a material category and a material concentration of a storage unit according to the spectral channel number and the spectral channel order; obtaining the storage unit according to the material category and the material concentration; and obtaining the storage medium according to the storage unit. The storage medium manufacturing method according to the embodiment of the present disclosure can determine the spectral channel number and the spectral channel order according to the to-be-stored information, and then select the material category and the material concentration of the storage unit, and then obtain the storage unit. Various material categories and material concentrations can be used to store multi-dimensional data corresponding to the spectral channel number and the spectral channel order, so as to improve the density of data storage and adapt to large-capacity data storage.
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Description

Technical Field

[0001] The present disclosure relates to the field of optical information technology, and in particular to a storage medium manufacturing method, a storage medium, and a data reading method. Background Art

[0002] In the era of big data, data generation is accelerating, while the demand for data storage is also increasing. However, the development of data storage capacity is lagging behind. The storage methods and storage media used in related technologies have low data storage density. For example, each storage cell in a storage medium can typically only store machine-readable data (0 or 1), resulting in low storage density and difficulty in adapting to large-scale data storage. Summary of the Invention

[0003] The present disclosure provides a storage medium manufacturing method and a data reading method and device.

[0004] According to one aspect of the present disclosure, a method for manufacturing a storage medium is provided, comprising: determining the number of spectral channels and the order of spectral channels based on information to be stored, wherein the number of spectral channels corresponds to the number of information to be stored, the order of spectral channels corresponds to the content of the information to be stored, and the order of spectral channels represents the weight of each spectral channel; determining the material category and material concentration of a storage unit based on the number of spectral channels and the order of spectral channels; obtaining a storage unit corresponding to the information to be stored based on the material category and the material concentration; and obtaining a storage medium based on the storage unit corresponding to each piece of information to be stored.

[0005] In one possible implementation, the number of spectral channels and the order of spectral channels are determined according to the information to be stored, including: determining the number of spectral channels according to the number of data bits of the information to be stored; and determining the order of spectral channels corresponding to each data bit according to the content of each data bit.

[0006] In one possible implementation, the material category and material concentration of the storage unit are determined based on the number of spectral channels and the order of the spectral channels, including: determining the number of material categories and the material categories corresponding to each spectral channel according to the number of spectral channels; determining the material concentration of each category according to the order of the spectral channels.

[0007] According to one aspect of the present disclosure, a storage medium is provided, comprising: at least one storage unit, each of the storage unit comprising at least one material, each material being used to store one data bit, different materials corresponding to different spectral channels, and spectral information of the storage unit when irradiated by preset incident light, the information after parsing representing the content of the stored data bit.

[0008] In a possible implementation, the concentration of the material is related to the weight of the spectral information corresponding to the material in the spectral information corresponding to the storage unit, and the weight represents the content of the data bit.

[0009] In a possible implementation, the storage medium further includes a carrying unit for carrying the at least one storage unit.

[0010] In a possible implementation, the storage medium is manufactured according to the storage medium manufacturing method.

[0011] According to one aspect of the present disclosure, a data reading method is provided, comprising: irradiating a storage medium with a preset incident light to obtain spectral information corresponding to the storage medium; parsing the spectral information of any storage unit in the storage medium to obtain weights of each spectral channel; and obtaining storage information corresponding to the storage unit based on the weights of each spectral channel.

[0012] In a possible implementation, obtaining the spectral information corresponding to the storage medium includes: irradiating a storage unit in the storage medium with a preset incident light to obtain a spectral curve corresponding to the storage unit; and sampling the spectral curve to obtain the spectral information.

[0013] In one possible implementation, parsing the spectral information to obtain the weights of each spectral channel includes: parsing the spectral information to obtain the weights through a spectral channel matrix corresponding to multiple spectral channels, wherein each column vector of the spectral channel matrix corresponds to each spectral channel.

[0014] In one possible implementation, based on the weights of the spectral channels, storage information corresponding to the storage unit is obtained, including: based on the weights, obtaining the spectral channel order corresponding to each spectral channel; based on the order of the spectral channels, reading the spectral channel order to obtain the storage information.

[0015] In a possible implementation, the spectral information of any storage unit in the storage medium is analyzed by a quantum dot imaging spectrometer to obtain the weight of each spectral channel; and then the storage information is obtained.

[0016] According to one aspect of the present disclosure, there is provided an information storage and reading system, the system comprising the storage medium and a quantum dot imaging spectrometer.

[0017] According to the storage medium manufacturing method of the embodiment of the present disclosure, the number of spectral channels and the order of spectral channels can be determined according to the information to be stored, and then the material category and material concentration of the storage unit can be selected to obtain a storage unit. A variety of material categories and material concentrations can be used to store multidimensional data corresponding to the number of spectral channels and the order of spectral channels, so as to improve the density of data storage and adapt to the storage of large amounts of data.

[0018] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, rather than limiting the present disclosure. Other features and aspects of the present disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings herein are incorporated into and constitute a part of the specification, and these drawings illustrate embodiments consistent with the present disclosure and, together with the specification, are used to explain the technical solutions of the present disclosure;

[0020] Figure 1 A flowchart showing a method for manufacturing a storage medium according to an embodiment of the present disclosure is shown;

[0021] Figure 2A and Figure 2B A schematic diagram illustrating a storage medium according to an embodiment of the present disclosure;

[0022] Figure 3A 、 Figure 3B and Figure 3C A schematic diagram illustrating an application of a storage medium manufacturing method according to an embodiment of the present disclosure;

[0023] Figure 4 A schematic diagram illustrating a storage and reading process of a storage medium according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0024] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise indicated.

[0025] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0026] The term "and / or" herein simply describes an association relationship between associated objects, indicating that three relationships can exist. For example, "A and / or B" can represent the existence of three situations: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" herein refers to any combination of at least two of any one or more of a plurality of items. For example, "at least one of A, B, and C" can represent any one or more elements selected from the set consisting of A, B, and C.

[0027] In addition, numerous specific details are provided in the following detailed description to better illustrate the present disclosure. Those skilled in the art will appreciate that the present disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art are not described in detail in order to highlight the main points of the present disclosure.

[0028] Figure 1 A flow chart showing a method for manufacturing a storage medium according to an embodiment of the present disclosure is shown. Figure 1 As shown, the method includes:

[0029] In step S11, the number of spectral channels and the order of spectral channels are determined according to the information to be stored, wherein the number of spectral channels corresponds to the number of the information to be stored, the order of the spectral channels corresponds to the content of the information to be stored, and the order of the spectral channels represents the weight of each spectral channel;

[0030] In step S12, the material type and material concentration of the storage unit are determined according to the number of spectral channels and the order of the spectral channels;

[0031] In step S13, a storage unit corresponding to the information to be stored is obtained according to the material type and the material concentration;

[0032] In step S14, a storage medium is obtained according to the storage units corresponding to the information to be stored.

[0033] According to the storage medium manufacturing method of the embodiment of the present disclosure, the number of spectral channels and the order of spectral channels can be determined according to the information to be stored, and then the material category and material concentration of the storage unit can be selected to obtain a storage unit. A variety of material categories and material concentrations can be used to store multidimensional data corresponding to the number of spectral channels and the order of spectral channels, so as to improve the density of data storage and adapt to the storage of large amounts of data.

[0034] In one possible implementation, in response to the problem of low storage density of data storage media in related technologies, the present disclosure can select multiple material categories and multiple material concentrations (for example, solution mass concentration, volume concentration, etc. For example, the concentration of solute in the solution, or the content ratio of optical material in the solid (such as a film made of a solid material containing optical material), etc. Of course, the concentration can be 0, for example, there is no solute but only solvent in the solution, or in one case, no material is set at the position corresponding to the storage unit (including no solvent and solute), or the solid does not contain optical material, but only transparent solid material, such as a transparent film, etc.) to obtain storage units based on different material categories and material concentrations. When such storage units are irradiated by a preset light source, they can reflect the spectral information of materials of multiple categories and concentrations, and then the stored information can be read based on the spectral information. Therefore, various categories and concentrations of materials can correspond to the stored information. Thus, based on the different categories and concentrations of materials, more categories and dimensions of information can be stored. That is, more information can be stored in each storage unit made of materials of various categories and concentrations, and is not limited to 0 or 1. The storage medium composed of such storage units can improve the storage density of information and adapt to the storage of large amounts of data.

[0035] In one possible implementation, when manufacturing the aforementioned storage medium, each storage unit may be manufactured using materials of different types and / or concentrations to obtain the storage medium. When manufacturing the storage units, the material type and concentration may be selected based on the information to be stored. For example, the material type and concentration may be selected based on information such as the number of data bits to be stored and the content of each data bit.

[0036] In one possible implementation, in step S11, the number of spectral channels and the order of the spectral channels may be determined based on the information to be stored. The number of spectral channels corresponds to the amount of information to be stored, the order of the spectral channels corresponds to the content of the information to be stored, and the order of the spectral channels represents the weight of each spectral channel. Step S11 may include: determining the number of spectral channels based on the number of data bits of the information to be stored; and determining the order of the spectral channels corresponding to each data bit based on the content of each data bit.

[0037] In this example, the number of spectral channels can correspond to the amount of information to be stored (e.g., the number of data bits) or the number of material categories. Each material category can have specific spectral information, and the spectral information of each material is a spectral channel. Therefore, the spectral information of multiple material categories (i.e., spectral channels) can be used to reflect the data bits of the information to be stored. Each data bit can correspond to a spectral channel, i.e., a material. Therefore, by selecting multiple material categories, it is possible to store more data bits of information (i.e., higher-dimensional information), thereby increasing data storage density. Therefore, the number of spectral channels can be determined based on the number of data bits of information to be stored, and then a corresponding number of material categories can be selected, such as optical materials.

[0038] In the example, each material may have unique spectral information, i.e., a spectral channel, and multiple materials may have multiple spectral information, i.e., multiple spectral channels. When a storage unit made of multiple materials is irradiated by a light source, composite spectral information can be obtained. The composite spectral information is parsed to obtain multiple spectral channels, and the spectral information of each material can be obtained, so that the category of the material can be determined. The material category corresponds to the data bit of the information to be stored. For example, one material category corresponds to one data bit of the information to be stored. Therefore, the number of data bits of the information to be stored can be determined based on the determined material category and the number of categories. Therefore, by using multiple spectral channels obtained from materials of multiple material categories, more data bits of information, i.e., higher-dimensional information, can be stored, thereby improving storage density, rather than being limited to storing one bit of data (i.e., 0 or 1).

[0039] Furthermore, after determining the number of data bits (i.e., determining the number of spectral channels, or determining the material categories and their number of categories), the content of each data bit can also be determined. In this example, the spectral channel order can represent the weight of the spectral channel or the concentration of each material category. The higher the concentration of a material, the higher its content in the multiple materials used to manufacture the storage cell, and the higher the weight of its spectral information in the composite spectral information, that is, the greater the order of its spectral channel. Therefore, the content of a data bit can be represented based on the order of the spectral channel. When manufacturing the storage cell, the order of the spectral channel can be determined based on the content of the data bit.

[0040] In this example, the order of a spectral channel can be used to represent the content of a data bit. For example, based on a spectral channel parsed from composite spectral information, it is determined that a data bit is included in the information to be stored. Subsequently, the content of the data bit can be determined based on the order of the spectral channel. For example, the higher the order, the larger the value representing the content of the data bit. This disclosure does not limit the correspondence between order and content. Based on this, different spectral channel orders can be obtained using different material concentrations, thereby storing more types of content in each data bit, not just 0 or 1. For example, a hexadecimal data bit can be expressed using 16 material concentrations. This disclosure does not limit the number of material concentrations.

[0041] In the example, the number of spectral channels is equal to the number of data bits, which is also equal to the number of material categories, that is, each category of material corresponds to a spectral channel, which also corresponds to a data bit. The spectral channel order corresponds to the content in the data bit, which also corresponds to the material concentration. In the example, n concentrations correspond to n contents. If 26 letters are to be expressed, 26 concentrations can be set, that is, 26 orders can be set. In summary, in a storage unit, by setting the number of spectral channels m and the number of spectral channel orders n, a total of n spectral information can be expressed. m The number of data contents that can be expressed is also n m That is, each data bit can represent n possible data, and can represent n m There are many possible data types, which greatly increases the number of data types that can be expressed by a single storage unit. m A spectral information library of spectral information is provided, which facilitates the rapid reading of data stored in a storage unit during subsequent use.

[0042] In one possible implementation, in step S12, the material category and material concentration of the storage unit may be determined based on the number of spectral channels and the order of the spectral channels. Step S12 may include: determining the number of material categories and the material category corresponding to each spectral channel based on the number of spectral channels; and determining the material concentration of each category based on the order of the spectral channels.

[0043] In this example, as described above, the number of data bits of the information to be stored corresponds to the number of spectral channels, which in turn corresponds to the number of material categories. Each material category can be associated with a spectral channel and a data bit of the information to be stored. Thus, after illuminating the storage unit with a light source to obtain composite spectral information and analyzing multiple spectral channels (i.e., spectral information of multiple materials), the number and type of data bits of the information stored in the storage unit can be determined. Therefore, the material category and its number can be determined based on the number of spectral channels.

[0044] In an example, further, as described above, the order of the spectral channel corresponds to the content of the data bit, and also corresponds to the material concentration, each material concentration can correspond to the weight of a spectral channel, and also correspond to a specific value of the content of the data bit. Thus, after determining how many data bits are stored and which data bits are stored, the specific content of each data bit can be determined, and then the information stored in the storage unit can be read.

[0045] In a possible implementation, in step S13, after obtaining the material category and the material concentration corresponding to the information to be stored, the storage unit can be manufactured by using a material with a specific concentration. In an example, the material is a liquid optical material, for example, a liquid material made by adding a certain material with a specific concentration in a solution, a plurality of liquid materials can be mixed to obtain a material for manufacturing the storage unit, and then the storage unit is manufactured based on the material. In another example, the material is a solid material, for example, a material with a specific concentration is formed after adding a specific amount of optical material in a transparent solid medium, a plurality of materials can be superimposed to obtain a material for manufacturing the storage unit, and then the storage unit is manufactured based on the material. The solid material can be manufactured in the form of a thin film, for example, a plurality of materials can be superimposed to form a thin film, which can be used as a storage unit. Further, different concentrations can also be represented by different thicknesses of materials, for example, a certain material has a larger thickness, and another material has a smaller thickness, so that the weight of the certain material is higher and the weight of the another material is lower in the superimposed thin film. The form and manufacturing method of the material are not limited in the present disclosure.

[0046] In a possible implementation, in step S14, the storage medium can include a plurality of storage units, each storage unit can store different information, and a plurality of storage units can be integrated to obtain the storage medium. The storage medium can store a large amount of information with high storage density.

[0047] In a possible implementation, the present disclosure also provides a storage medium, including: at least one storage unit, each of the storage units includes at least one material, each material is used to store one data bit, different materials correspond to different spectral channels, and the spectral information of the storage unit when irradiated by a preset incident light indicates the content of the stored data bit after analysis.

[0048] In a possible implementation, each material used to make the storage unit corresponds to a spectral channel, and also corresponds to a data bit of the information stored by the storage unit. The content of the data bit can be represented by the concentration of the material. The concentration of the material is related to the weight value of the spectral information corresponding to the material in the spectral information of the storage unit, and the weight value represents the content of the data bit. For example, the storage unit can store the content of multiple data bits. When the storage unit is irradiated by incident light, the composite spectral information of the multiple materials contained in the storage unit can be obtained, that is, the spectral information obtained by weighted summation of the spectral information of the multiple materials. The weight value in the weighted summation is related to the concentration of the material, for example, the higher the concentration, the greater the proportion of the material in all materials used to make the storage unit, and thus the greater the weight value of the spectral information of the material. The specific content of the data bit corresponding to the material can be represented by the weight value of the material, for example, if the content in the data bit is a number, the higher the concentration, the greater the weight value, and the greater the number that can be represented. The correspondence between the content and the weight value and the concentration is not limited in the present disclosure.

[0049] In a possible implementation, the type of the material contained in the storage unit described above can represent which data bits are included in the stored information, and the concentration of the material can represent the specific content of the data bit. Accordingly, when reading data, the composite spectral information of the storage unit can be obtained by irradiating the storage unit with incident light, and the spectral channels contained in the composite spectral information and the weight values of the spectral channels can be obtained by analysis, wherein the spectral channels can represent which data bits are included in the stored information, and the weight values of the spectral channels can represent the specific content of the data bit.

[0050] Therefore, the storage unit can be made by using the type and concentration of multiple materials, to store higher-dimensional information, that is, to store more data bits, and each data bit can store more types of content. Thus, the storage density of the storage medium is improved, and the amount of stored data is increased.

[0051] In a possible implementation, the storage medium can include at least one storage unit, and can also include a carrying unit for carrying the at least one storage unit. For example, the storage medium is an optical disc, and the layer used to store data in the optical disc is a layer including the at least one storage unit. The storage medium can also include other layers, such as a printing layer, a protective layer, a disc base, etc., which can all be used as the carrying unit for carrying the storage unit. For example, multiple storage units (for example, storage units in the form of thin films, or multiple layers of quantum dot materials) can be integrated on the disc base, that is, the disc base is used as a substrate to form the storage medium.

[0052] In an example, the storage medium can be manufactured by the manufacturing method of the storage medium described above, and the manufacturing method of the storage medium is not limited in the present disclosure.

[0053] Figure 2Aand Figure 2B A schematic diagram of a storage medium according to an embodiment of the present disclosure is shown. Figure 2A and Figure 2B As shown, the storage medium may include 22×13 storage units. Figure 2A As shown, from top to bottom there are 5 kinds of thin films made of materials (ie, each memory cell can have 5 data bits, such as Figure 2A The QD440, QD508, QD545, QD584 and QD628 films are provided in the accompanying drawings. Each material of the film can be set with two concentrations at each storage unit (i.e., each data bit can express two possible contents). When setting the concentration, the two possible contents of the data bit corresponding to the material at each storage unit of the film can be expressed by setting or not setting the two concentrations of the material. The five films are stacked together and laid on a carrier unit to obtain a storage medium.

[0054] like Figure 2B As shown, from top to bottom there are four kinds of thin films made of materials (ie, each memory cell can have four data bits, such as Figure 2B The QD440, QD508, QD563 and QD628 films in the invention are QD440, QD508, QD563 and QD628 films, each material of the film can be set to three concentrations at each storage unit (that is, each data bit can express three possible contents). When setting the concentration, the three possible contents on the data bit corresponding to the material at the storage unit can be expressed by setting a thicker or denser material, a thinner or lower concentration material, or no material at each storage unit of the film. By stacking the four films together and laying them on a carrier unit, a storage medium can be obtained. Of course, the concentration can be 0. For example, the film is a transparent film and does not contain optical material. In another example, no film is set at the position where the film is laid.

[0055] In a possible implementation, the storage medium can store a variety of information. When the information stored in the storage medium is read, the information stored in each storage unit can be obtained respectively.

[0056] In one possible implementation, the present disclosure also provides a data reading method, including: irradiating a storage medium with a preset incident light to obtain spectral information corresponding to the storage medium; parsing the spectral information of any storage unit in the storage medium to obtain the weights of each spectral channel; and obtaining the storage information corresponding to the storage unit based on the weights of each spectral channel.

[0057] In one possible implementation, when reading the information stored in the storage medium, each storage unit can be irradiated with a preset incident light to obtain the spectral information of the storage unit. The incident light may include light of multiple wavelengths, for example, polychromatic light, and the present disclosure does not limit the wavelengths included in the incident light. By irradiating with the incident light, spectral information can be obtained, that is, the composite spectral information as described above. The composite spectral information may include spectral information of multiple spectral channels, and each spectral channel has its own weight. As described above, the spectral channel may correspond to the material type and also to the data bit of the stored information, and the weight of the spectral channel corresponds to the content of the data bit. Therefore, the composite spectral information can be parsed to obtain each spectral channel and its weight, and then the corresponding storage information can be determined.

[0058] In one possible implementation, to facilitate information reading and analysis of spectral information, the obtained spectral information may be sampled to obtain discrete spectral information, for example, spectral information in vector form, for easier analysis. Acquiring spectral information corresponding to the storage medium includes: irradiating a storage unit in the storage medium with a predetermined incident light beam to obtain a spectral curve corresponding to the storage unit; and sampling the spectral curve to obtain the spectral information.

[0059] In an example, if, when acquiring the spectral information, the absorption spectrum of each storage unit is acquired, the preset incident light is a broad-spectrum visible light. In another example, if, when acquiring the spectral information, the fluorescence emission spectrum of each storage unit is acquired, the preset incident light is a narrow half-width UV light (ultraviolet light), for example, ultraviolet light with a wavelength of 365 nm. The present disclosure does not limit the type of incident light. During the irradiation process, a spectrometer capable of reading spatial spectral information can be used, for example: the spectral information of each storage unit of the storage medium can be read by a spectrometer that can read all storage units on the storage medium at the same time (for example, a snapshot, etc.), or the spectral information of each storage unit of the storage medium can be read by a spectrometer that can only read part of the storage units on the storage medium during movement (for example, point scanning, line scanning, etc.) or during the movement of the storage medium (for example, translating or rotating the storage medium). The spectrometer is preferably an imaging spectrometer. Considering the ease of use and cost, a quantum dot imaging spectrometer is preferred.

[0060] In this example, irradiating the storage unit can obtain a spectral curve, which is continuous spectral information. The spectral curve can be sampled, for example, at preset sampling points, or randomly, to obtain the aforementioned discrete spectral information for easy analysis. This disclosure does not limit the sampling method.

[0061] In one possible implementation, the discrete spectral information can be parsed. As described above, this spectral information is composite, including spectral information from multiple spectral channels, each with its own weight. Therefore, the composite spectral information is the weighted sum of the spectral information from the multiple spectral channels using their respective weights. Parsing this composite spectral information yields the weights for each spectral channel, and thus the content of each data bit.

[0062] In this example, the materials used to manufacture each storage unit of the storage medium are all known materials. That is, the types of materials are known, corresponding to the data bits of the stored information. These materials represent the content of each data bit through different concentrations. Therefore, the spectral channels of each type of material are all known spectral channels. That is, the number of data bits of the stored information is a known parameter. Simply determining the weight of each spectral channel can determine the content of each data bit, and thus the stored information. Therefore, as described above, the composite spectral information is the result of weighted summation of the spectral information of multiple spectral channels using their respective weights. Since the spectral information of each spectral channel is known, simply solving the weight of each spectral channel can determine the content of each data bit. Furthermore, the composite spectral information is the result of weighted summation of the spectral information of each spectral channel. The weight of each spectral channel can be inversely solved using linear operations such as matrices.

[0063] In one possible implementation, parsing the spectral information to obtain the weights of each spectral channel includes: parsing the spectral information to obtain the weights through a spectral channel matrix corresponding to multiple spectral channels, wherein each column vector of the spectral channel matrix corresponds to each spectral channel.

[0064] In one possible implementation, the analysis can be performed through a spectral channel matrix. The column vectors in the spectral channel matrix are the spectral information corresponding to each spectral channel. By performing a weighted summation on the column vectors of the spectral channel matrix (i.e., multiplying the spectral channel matrix by the vector composed of the weights of each spectral channel), the above-mentioned composite spectral information (spectral information in vector form) can be obtained.

[0065] In one possible implementation, each column vector of the spectral channel matrix (i.e., the spectral information for each spectral channel) can be obtained by irradiating and sampling a single type of material. The irradiation light used is the same as the incident light, and the sampling method is the same as the sampling method for the composite spectral curve. Thus, the spectral information for each material (i.e., the column vector corresponding to each spectral channel) can be obtained, forming the spectral channel matrix.

[0066] In one possible implementation, the composite spectral information is obtained by multiplying the spectral channel matrix by the vector consisting of the weights of each spectral channel (i.e., the spectral channel order), as shown in the following formula (1):

[0067]

[0068] in, is the composite spectral information, S i is the sampling value of the i-th (i is a positive integer) sampling point of the spectral curve, with a total of n (n≥i, and n is an integer) sampling points. is the spectral channel matrix, is the spectral information of the jth material, D j (λ i ) is the sampling value of the i-th sampling point, is the order of the spectral channel, which is also the vector composed of the weights of each spectral channel, W(λ j ) is the weight of the j-th spectral channel.

[0069] In one possible implementation, the composite spectral information in formula (1) can be analyzed using a spectral channel matrix. For example, the inverse matrix of the spectral channel matrix can be multiplied on both sides of formula (1) to obtain the weights of each spectral channel, also known as the spectral channel order.

[0070] In one possible implementation, after obtaining the weights of the spectral channels, the content of each data bit of the stored information can be determined based on the weights. Obtaining the stored information corresponding to the storage unit based on the weights of the spectral channels includes: obtaining the spectral channel order corresponding to each spectral channel based on the weights; and reading the spectral channel order based on the order of the spectral channels to obtain the stored information.

[0071] In the example, as described above, the vector composed of the weights of each spectral channel is the spectral channel order, and each element in the spectral channel order represents the content of each data bit of each stored information. That is, each element (i.e., each weight) corresponds to the content of the data bit, and this correspondence can be used to read the spectral channel order. For example, by reading in the order of the spectral channels, the storage information of the storage unit can be obtained. For example, if the weight is W and the corresponding material concentration is X, the content of the data bit can be determined to be Y (there is a definite correspondence between the weight, concentration, and specific content). This disclosure does not limit this correspondence.

[0072] In a possible implementation, in this way, the storage information of each storage unit can be read to obtain the storage information of the storage medium.

[0073] In one possible implementation, a quantum dot imaging spectrometer can be used to analyze the spectral information of any storage unit in the storage medium to obtain the weights of each spectral channel, thereby obtaining the stored information. Specifically, the aforementioned processes of irradiation, analysis, and reading stored information are integrated into the quantum dot imaging spectrometer. The quantum dot imaging spectrometer is used to illuminate any storage unit in the storage medium with a predetermined incident light beam, and the obtained spectral information is analyzed using the aforementioned method to obtain the weights of each spectral channel, thereby reading the stored information of that storage unit. By iteratively performing the aforementioned process, all information stored in the storage medium can be obtained.

[0074] The present disclosure also provides an information storage and reading system, comprising the aforementioned storage medium and a quantum dot imaging spectrometer. The information storage and reading system can be used to store information at high density using the aforementioned storage medium. When reading the stored information, the quantum dot imaging spectrometer can be used to read the information using the aforementioned method. This system integrates information storage and reading functions, simplifying the information storage and reading process.

[0075] According to the storage medium manufacturing method of the embodiment of the present disclosure, the number of spectral channels and the order of spectral channels can be determined according to the information to be stored, and then the material category and material concentration of the storage unit can be selected to obtain a storage unit. A variety of material categories and material concentrations can be used to store more data bits of information, and the content type of each data bit is more diversified, which can improve the dimension of stored data and thus improve the density of data storage to adapt to the storage of large amounts of data.

[0076] Figure 3A 、 Figure 3B and Figure 3C A schematic diagram illustrating an application of a storage medium manufacturing method according to an embodiment of the present disclosure is shown. Figure 3A As shown, the information to be stored is the number "2021." That is, the information to be stored includes four data bits: "2," "0," "2," and "1." These four data bits correspond to four spectral materials, or four spectral channels. Furthermore, the content of the data bits can correspond to the material concentrations. Therefore, the content "2" corresponds to one concentration, the content "0" corresponds to one concentration, and the content "1" corresponds to one concentration, for a total of three concentrations.

[0077] In this example, each type of material has specific spectral information, such as a spectral curve. Spectral curves of materials of the same type but different concentrations may have similar characteristics, such as the same phase, or different characteristics, such as different amplitudes. Therefore, the weight of the spectral information can be calculated based on different characteristics. The spectral information of the four types of spectral materials (with three concentrations) described above is composite spectral information, such as a composite spectral curve, e.g., a spectral curve that is the weighted sum of the spectral curves of the individual spectral materials.

[0078] In this example, four types of spectral materials (with three concentrations) are integrated and fabricated into a storage unit, for example, a thin film. Multiple storage units can form a storage medium, for example, a larger film comprising multiple smaller films, each made of a different material and with a different concentration.

[0079] like Figure 3B As shown, when reading the stored information in the storage medium, the stored information of each storage unit can be read separately. The storage unit can be illuminated by incident light to obtain the spectral curve of the storage unit. The spectral curve is a composite spectral curve. The spectral curve can be sampled to obtain spectral information in vector form. Then, the spectral channel matrix in formula (1) is inversely solved. For example, the weight of each spectral channel is obtained by multiplying it by the inverse matrix of the spectral channel matrix, which is also the information representing the content of each data bit. Furthermore, the spectral channel order composed of the weight of each spectral channel can be decoded to obtain the stored information of the storage unit. By performing the above reading process on each storage unit, the stored information of the storage medium can be obtained.

[0080] Furthermore, if Figure 3C As shown, the stored information can also be stored in different encoding methods, such as Figure 3C As shown in the information to be stored below, the information to be stored can be represented as 101010011010001001101010 in binary. If the information is stored in 4 storage cells, the four storage cells are used to store 101010, 011010, 001001, and 101010 respectively. When reading, the above four spectral information can also be obtained. In this example, 6 materials and two concentrations can be used to make each storage cell, thereby obtaining the above four storage cells. If the information is stored in 3 storage cells, the three storage cells are used to store 10101001, 10100010, and 01101010 respectively. When reading, the above three spectral information can also be obtained. In this example, 8 materials and two concentrations can be used to make each storage cell, thereby obtaining the above three storage cells. The information to be stored can be represented in quaternary form as 222122021222. If this information is stored in two memory cells, the two memory cells are used to store 222122 and 021222, respectively. When reading, the two spectral information described above can also be obtained. In this example, six materials and four concentrations can be used to make each memory cell (although the data bits in this example only show three concentrations of 0, 1, and 2, four concentrations can be set to accommodate quaternary storage), thereby obtaining the two memory cells described above.

[0081] like Figure 3CAs shown above, the information to be stored can be represented in ternary form as 201021022120012012202010. If this information is stored in six memory cells, the six memory cells are used to store 2010, 2102, 2120, 0120, 1220, and 2010, respectively. When reading, the aforementioned six types of spectral information can also be obtained. In this example, four materials with three concentrations can be used to fabricate each memory cell, thereby obtaining the aforementioned six memory cells.

[0082] Figure 4 A schematic diagram showing the storage and reading process of a storage medium according to an embodiment of the present disclosure is shown as follows: Figure 4 As shown, the information to be stored is the character "spec", not a number, and can be converted into an expression in digital form using ASCII code, that is, s corresponds to 01110011, p corresponds to 01110000, e corresponds to 01100101, and c corresponds to 01100011. The above expression is a binary expression with 8 data bits. Therefore, QD films of 8 materials can be used as 8 spectral channels, and two thicknesses of QD films can be used as two orders to construct an 8-channel 2-order spectral library. Furthermore, a combination corresponding to the above expression can be selected from the spectral library to make a storage unit composed of 8 materials (each material may include 2 concentrations), and the above four characters can be stored by 4 storage units. The above 4 storage units can also be arranged into a specific pattern to obtain a storage medium.

[0083] In the example, the information stored in each storage unit on the storage medium can be read by a QD imaging spectrometer. For example, the QD imaging spectrometer can illuminate each storage unit with a preset incident light to obtain the spectral information of each storage unit, and then compare the spectral information with the spectral information in the spectral library to obtain the data stored in each storage unit. Furthermore, the data can be decoded, for example, using ASCII code to restore it to the character information "spec". The QD imaging spectrometer can be an imaging spectrometer, such as a quantum dot imaging spectrometer. The spectral resolution and spatial resolution of the quantum dot imaging spectrometer can meet the requirements for reading each storage unit of the above-mentioned storage medium. For example, in terms of spatial resolution, it can distinguish different storage units on the storage medium, and in terms of spectral resolution, it can distinguish different spectral channels and different orders. The present disclosure does not limit the type of imaging spectrometer.

[0084] It is understood that the above-mentioned various method embodiments mentioned in this disclosure can be combined with each other to form combined embodiments without violating the principle logic. Due to space limitations, this disclosure will not go into details. It is understood by those skilled in the art that in the above-mentioned methods of specific implementation, the specific execution order of each step should be determined by its function and possible internal logic.

[0085] While various embodiments of the present disclosure have been described above, the above descriptions are illustrative, non-exhaustive, and not intended to be limiting of the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, their practical applications, or improvements to existing technologies, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for manufacturing a storage medium, characterized in that: include: Determine the number of spectral channels and the order of spectral channels according to the information to be stored, wherein the number of spectral channels corresponds to the number of the information to be stored, the order of the spectral channels corresponds to the content of the information to be stored, and the order of the spectral channels represents the weight of each spectral channel; Determining the material type and material concentration of the storage unit according to the number of spectral channels and the order of the spectral channels; Obtaining a storage unit corresponding to the information to be stored according to the material category and the material concentration; A storage medium is obtained according to the storage units corresponding to the information to be stored.

2. The method according to claim 1, characterized in that Determine the number of spectral channels and the order of spectral channels based on the information to be stored, including: Determining the number of spectral channels according to the number of data bits of the information to be stored; According to the content of each data bit, the spectral channel order corresponding to each data bit is determined.

3. The method according to claim 1, characterized in that Determining the material type and material concentration of the storage unit according to the number of spectral channels and the order of the spectral channels includes: Determining the number of material categories and the material categories corresponding to each spectral channel according to the number of spectral channels; The concentration of each category of material is determined according to the spectral channel order.

4. A storage medium, characterized in that include: At least one storage unit, except for blank spots, each of the storage units includes at least one material, each material is used to store a data bit, different materials correspond to different spectral channels, and the spectral information of the storage unit when it is irradiated by a preset incident light, the information after analysis represents the content of the stored data bit.

5. The storage medium according to claim 4, wherein: The concentration of the material is related to the weight of the spectral information corresponding to the material in the spectral information corresponding to the storage unit, and the weight represents the content of the data bit.

6. The storage medium according to claim 4 or 5, characterized in that The storage medium further includes a carrying unit for carrying the at least one storage unit.

7. The storage medium according to any one of claims 4 to 6, characterized in that The storage medium is manufactured according to the method according to any one of claims 1-3.

8. A data reading method, characterized in that: The method comprises: irradiating the storage medium according to any one of claims 4 to 7 with a preset incident light to obtain spectral information corresponding to the storage medium; Analyze the spectral information of any storage unit in the storage medium to obtain the weight of each spectral channel; The storage information corresponding to the storage unit is obtained according to the weights of the spectral channels.

9. The method according to claim 8, characterized in that The acquiring of spectral information corresponding to the storage medium includes: Irradiating a storage unit in a storage medium with a preset incident light to obtain a spectrum curve corresponding to the storage unit; The spectral curve is sampled to obtain the spectral information.

10. The method according to claim 9, characterized in that The spectral information is parsed to obtain the weight of each spectral channel, including: The spectral information is parsed through a spectral channel matrix corresponding to a plurality of spectral channels to obtain the weights, wherein each column vector of the spectral channel matrix corresponds to each spectral channel.

11. The method according to claim 8, characterized in that Obtaining storage information corresponding to the storage unit according to the weights of the spectral channels, including: According to the weights, obtaining the spectral channel order corresponding to each spectral channel; According to the sequence of the spectral channels, the spectral channel orders are read to obtain the stored information.

12. The method according to any one of claims 8 to 11, characterized in that The spectral information of any storage unit in the storage medium is analyzed by an imaging spectrometer to obtain the weight of each spectral channel; and then the storage information is obtained.

13. The method according to claim 12, characterized in that The imaging spectrometer is a quantum dot imaging spectrometer.

14. An information storage and reading system, comprising the storage medium according to any one of claims 4 to 7 and an imaging spectrometer.

15. The system according to claim 14, wherein: The imaging spectrometer is a quantum dot imaging spectrometer.

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