Heavy metal analysis method based on magnetic-gas dual-drive intelligent nano-robot
Through the heavy metal analysis method based on the magnetic-gas dual-drive intelligent nanorobot, the heavy metal cadmium content in the Chuanxiong extract is accurately detected, which solves the problem of difficulty in detection in the existing technology and improves the accuracy and safety of the analysis.
Patent Information
- Application Number
- CN202510082658.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2025-05-09
AI Technical Summary
The prior art is difficult to accurately detect the heavy metal cadmium content in Chuanxiong extract, which affects its safety and removal efficiency.
The heavy metal analysis method based on the magnetic-gas dual-drive intelligent nanorobot was adopted. By obtaining real-time data of Chuanxiong extract, heavy metal composition analysis was carried out, the metal attribute data of the target detection liquid of the items to be analyzed was determined, and the metal attribute data of the liquid metal attribute data in the target range was compared to the liquid cadmium content results.
It improves the accuracy of data analysis, can more accurately judge whether the matter to be analyzed exists within the target range, and improves the safety and removal efficiency of Chuanxiong extract.
Smart Images
Figure CN119959475A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data analysis technology, and in particular to a heavy metal analysis method based on a magnetic-gas dual-driven intelligent nanorobot. Background Art
[0002] It is very important to detect the heavy metal cadmium content in Chuanxiong extract. Only by checking the specific content can it be removed with the right method to ensure the safety of Chuanxiong extract. However, how to analyze and how to analyze accurately is a technical problem that is difficult to solve at present. Summary of the invention
[0003] In order to improve the technical problems existing in the related technologies, the present application provides a heavy metal analysis method based on a magnetic-gas dual-driven intelligent nanorobot.
[0004] In a first aspect, a heavy metal analysis method based on a magnetic-gas dual-drive intelligent nanorobot is provided, comprising: obtaining real-time Chuanxiong extract data of a target item, wherein a target range is configured in the target item; performing heavy metal component analysis on the real-time Chuanxiong extract data to obtain a heavy metal component analysis result; based on the heavy metal component analysis result, determining target liquid metal property data of a target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data; based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data of the target range, determining a metal cadmium content result corresponding to the real-time Chuanxiong extract data, wherein the metal cadmium content result is used to indicate whether there is an item to be analyzed in the target range.
[0005] In this way, by determining the target liquid metal property data of the target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data, and determining the metal cadmium content result corresponding to the real-time Chuanxiong extract data based on the target liquid metal property data and the liquid metal property data of the target range, compared with directly using the complete liquid metal property data corresponding to the item to be analyzed to judge the metal cadmium content result, the target detection liquid is used as the representative of the item to be analyzed, and it is more accurately judged whether the target detection liquid of the item to be analyzed exists in the target range, so as to indicate whether the item to be analyzed is in the target range, thereby improving the accuracy of data analysis.
[0006] In an independently implemented embodiment, the heavy metal component analysis results include a heavy metal component analysis core used to represent the liquid metal property data of the item to be analyzed; based on the heavy metal component analysis results, the target liquid metal property data of the target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data is determined, including: for each item to be analyzed, based on the preset association relationship between the target detection liquid and the item in which it is located, and the liquid metal property data of the heavy metal component analysis core, the target liquid metal property data of the target detection liquid of the item to be analyzed is determined.
[0007] In this way, through the pre-set association relationship between the target detection liquid and the matter it belongs to, after determining the liquid metal property data of the heavy metal component analysis core, the target liquid metal property data of the target detection liquid of the matter to be analyzed can be quickly determined, thereby facilitating the subsequent determination of whether there is a matter to be analyzed in the target range.
[0008] In an independently implemented embodiment, the target liquid metal property data of the target detection liquid is the liquid metal property data of the detection liquid detection core corresponding to the target detection liquid.
[0009] In this way, the detection core is used to represent the target detection liquid, and the liquid metal property data of the detection core is used as the target liquid metal property data of the target detection liquid, so as to be compared with the range liquid metal property data to obtain the metal cadmium content result.
[0010] In an independently implemented embodiment, the target detection liquid includes liquid local component data, and the preset association relationship between the liquid local component data and the event in which it is located includes: the liquid local component data is within a reference range of the event in which it is located.
[0011] In this way, by setting the liquid local component data to be within the reference range of the matter, the liquid local component data of the matter can be analyzed on the basis of determining the matter to be analyzed, so as to achieve more accurate data analysis.
[0012] In an independently implemented embodiment, the target range liquid metal property data is the target data range liquid metal property data associated with the target range in the real-time Chuanxiong extract data.
[0013] In this way, analysis can be performed on closed ranges of any shape, expanding the scope of data analysis and improving the accuracy of data analysis.
[0014] In an independently implemented embodiment, the target data range is a data range corresponding to the target range, or the target data range covers the target range, and the target data range is larger than the target range.
[0015] In this way, you can choose to conduct a precise analysis of the target range, or you can choose to expand the scope of analysis based on the target range, thereby achieving early notification of items to be analyzed that fall within the target range.
[0016] In an independently implemented embodiment, based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data of the target range, the metal cadmium content result corresponding to the real-time Chuanxiong extract data is determined, including: based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data, determining the intersection data corresponding to the target detection liquid of the item to be analyzed and the target range; based on the intersection data, determining the metal cadmium content result.
[0017] In this way, the cross data between the target detection liquid and the target range can be used to effectively determine whether the target detection liquid is in the target range, so as to accurately determine whether there are items to be analyzed in the target range.
[0018] In an independently implemented embodiment, the target liquid metal property data of the target detection liquid is the liquid metal property data of the detection liquid detection core corresponding to the target detection liquid; the range liquid metal property data is the liquid metal property data of the target data range associated with the target range in the real-time Chuanxiong extract data; based on the target liquid metal property data and the range liquid metal property data of the target detection liquid of the item to be analyzed, the intersection data corresponding to the target detection liquid of the item to be analyzed and the target range is determined, including: based on the target liquid metal property data and the range liquid metal property data of the target detection liquid of the item to be analyzed, determining the intersection range between the detection liquid detection core and the target data range; obtaining the data volume of the intersection range, and / or the ratio of the intersection range to the data volume of the detection liquid detection core.
[0019] In this way, whether the target detection liquid is in the target range can be accurately determined by the amount of cross data between the target detection liquid and the target data range associated with the target range and / or the proportion of the cross data amount to the target detection liquid.
[0020] In an independent implementation embodiment, the number of target ranges is one or more.
[0021] In this way, judgments can be made for any number of target ranges separately, thereby improving the accuracy of data analysis.
[0022] In an independently implemented embodiment, the real-time Chuanxiong extract data includes real-time Chuanxiong extract data collected for target items by multiple data acquisition modules respectively, and different data acquisition modules collect data in different dimensions; the method also includes: based on the metal cadmium content results corresponding to the real-time Chuanxiong extract data in each dimension, determining the metal cadmium content results corresponding to the target range.
[0023] In this way, by determining the metal cadmium content results corresponding to the target range based on the real-time Chuanxiong extract data in multiple dimensions, the accuracy of the metal cadmium content results finally obtained can be improved.
[0024] In an independently implemented embodiment, the method further includes: in response to the metal cadmium content result indicating that there are items to be analyzed within the target range, annotating the items to be analyzed within the target range in the real-time Chuanxiong extract data, and outputting abnormal content prompt information.
[0025] In this way, by annotating the items to be analyzed within the target range and outputting abnormal content prompt information, it can be prompted that there are items to be analyzed entering the target range in real time.
[0026] In a second aspect, a heavy metal analysis system based on a magnetic-gas dual-drive intelligent nanorobot is provided, comprising a processor and a memory that communicate with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0028] Figure 1 A flow chart of a heavy metal analysis method based on a magnetic-gas dual-drive intelligent nanorobot provided in an embodiment of the present application. DETAILED DESCRIPTION
[0029] In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.
[0030] See also Figure 1 , shows a heavy metal analysis method based on a magnetic-gas dual-driven intelligent nanorobot, which may include the technical solutions described in the following steps S201-S204.
[0031] S201: Acquire real-time Chuanxiong extract data of the target item.
[0032] Exemplarily, the real-time Chuanxiong extract data is obtained through extraction with relevant equipment and digitized information.
[0033] S202: Perform heavy metal component analysis on the real-time Chuanxiong extract data to obtain heavy metal component analysis results.
[0034] S203: Based on the heavy metal component analysis result, determine the target liquid metal property data of the target detection liquid to be analyzed in the real-time Chuanxiong extract data.
[0035] S204: Based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data of the target range, determine the metal cadmium content result corresponding to the real-time Chuanxiong extract data.
[0036] Among them, the results of metallic cadmium content are used to indicate whether there are items to be analyzed within the target range.
[0037] The following is a detailed description of the above steps.
[0038] Among them, the real-time Chuanxiong extract data can be collected by the data collection device for the target item. The target item is configured with a target range. The target range is the range that needs to be judged. The real-time Chuanxiong extract data covers the data range corresponding to the target range.
[0039] The target range may be at least one preset range. In some embodiments, the target range is one. In some embodiments, the target range may be multiple.
[0040] Among them, the real-time Chuanxiong extract data can be the Chuanxiong extract data obtained by a data acquisition device to collect target items. In some embodiments, the real-time Chuanxiong extract data can include real-time Chuanxiong extract data collected by multiple data acquisition modules for target items respectively, and different data acquisition modules collect different dimensions.
[0041] In some embodiments, if the real-time Chuanxiong extract data includes images collected by multiple acquisition modules from different dimensions, for the target range, the real-time Chuanxiong extract data collected by each acquisition module can be analyzed to correspond to the metal cadmium content result corresponding to the real-time Chuanxiong extract data, and the final metal cadmium content result corresponding to the target range can be determined based on the metal cadmium content results in each dimension. For example, the real-time Chuanxiong extract data in a single dimension can be analyzed, and the Chuanxiong extract data in other dimensions can be used for verification, thereby improving the accuracy of the final metal cadmium content result.
[0042] In this way, by determining the metal cadmium content results corresponding to the target range based on the real-time Chuanxiong extract data in multiple dimensions, the accuracy of the metal cadmium content results finally obtained can be improved.
[0043] The heavy metal component analysis result may include a heavy metal component analysis core for representing the liquid metal property data of the item to be analyzed. In some cases, there may be no item to be analyzed in the real-time Chuanxiong extract data. In some cases, there may be one or more items to be analyzed in the real-time Chuanxiong extract data, and each item corresponds to a heavy metal component analysis core.
[0044] In an independently implemented embodiment, when determining the heavy metal component analysis results corresponding to the real-time Chuanxiong extract data, the real-time Chuanxiong extract data can be input into a pre-trained first target neural network to obtain a heavy metal component analysis kernel corresponding to the item to be analyzed output by the first target neural network.
[0045] In this way, by using a neural network to determine the processing of real-time Chuanxiong extract data, the liquid metal property data of the items to be analyzed in the real-time Chuanxiong extract data can be accurately determined, thereby facilitating the subsequent determination of whether there are items to be analyzed in the target range.
[0046] In some embodiments, after obtaining the detection results of the real-time Chuanxiong extract data on the items, for each item to be analyzed detected, the target liquid metal property data of the target detection liquid of the item to be analyzed can be determined based on the preset association relationship between the target detection liquid and the item in which it is located, and the heavy metal component analysis core. Among them, the target detection liquid belongs to the aforementioned item, and the target detection liquid is associated with whether it enters the target range, so the target detection liquid can represent the item to be analyzed for judgment.
[0047] In some embodiments, the target liquid metal property data of the target detection liquid is the liquid metal property data of the detection liquid detection core corresponding to the target detection liquid.
[0048] In an independently implemented embodiment, the target detection liquid may include liquid local component data. When determining the target liquid metal property data of the target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data based on the heavy metal component analysis results, the target liquid metal property data of the liquid local component data of the item to be analyzed can be determined based on the preset correlation relationship between the preset detection liquid position and the position of the item to be analyzed, and the liquid metal property data of the heavy metal component analysis core.
[0049] In some embodiments, the target detection liquid may be one or more, and the target liquid metal property data of each target detection liquid may be obtained respectively. When performing analysis, it may be determined whether the item to be analyzed is within the target range according to whether each target detection liquid of the item to be analyzed is within the target range. Exemplarily, the target detection liquid is liquid local component data, and the preset association relationship between the liquid local component data and the item in which it is located may include: the liquid local component data is within the reference range of the item in which it is located.
[0050] In this way, by pre-setting the relative correlation between the foot detection liquid position and the position of the item to be analyzed, after determining the liquid metal property data of the heavy metal component analysis core, the target liquid metal property data of the local component data of the liquid of the item to be analyzed can be quickly determined, thereby facilitating the subsequent determination of whether there is an item to be analyzed within the target range.
[0051] In another independent implementation example, when determining the target liquid metal property data of the target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data, the following steps A1 to A2 may also be used: A1: Based on the heavy metal component analysis results, determine the scope of the matter in the real-time Chuanxiong extract data.
[0052] A2: Input the matter scope data into the pre-trained second target neural network to obtain the liquid local component data detection kernel of the matter to be analyzed output by the second target neural network; the liquid metal property data of the liquid local component data detection kernel is the target liquid metal property data of the liquid local component data of the matter to be analyzed.
[0053] Specifically, the second target neural network can analyze the shoes of the item to be analyzed, and the range where the shoes are located can be regarded as the range where the liquid local component data is located, so that the liquid local component data detection kernel of the item to be analyzed can be obtained.
[0054] In this way, by analyzing the liquid local component data of the item to be analyzed through the pre-trained second target neural network, the target liquid metal property data of the liquid local component data of the item to be analyzed in the real-time Chuanxiong extract data can be accurately determined, thereby facilitating the subsequent determination of whether there is an item to be analyzed in the target range.
[0055] In an independently implemented embodiment, after obtaining the real-time Chuanxiong extract data of the target range, the real-time Chuanxiong extract data covering the items to be analyzed can also be input into a pre-trained first target neural network to obtain the to-be-selected detection cores and type information of the items to be analyzed corresponding to the items to be analyzed output by the first target neural network, and the items to be analyzed can be selected based on the type information of the items to be analyzed.
[0056] In this way, by performing type analysis on the items to be analyzed in the real-time Chuanxiong extract data, the items to be analyzed can be classified, and when the personnel covered by the type to be analyzed are determined, the heavy metal component analysis results corresponding to the real-time Chuanxiong extract data can be accurately determined.
[0057] In an independently implemented embodiment, the heavy metal component analysis results may also include the identity information of the item to be analyzed. Before determining the target liquid metal property data of the target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data, it is also possible to determine whether the item to be analyzed is a prohibited entry item within the target range based on the identity information of the item to be analyzed, and if the item to be analyzed is a prohibited entry item corresponding to the target range, determine the target liquid metal property data of the target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data.
[0058] It is understandable that the real-time Chuanxiong extract data covers the data range corresponding to the target range. In some embodiments, the target range liquid metal property data may be the liquid metal property data of the target data range associated with the target range in the real-time Chuanxiong extract data.
[0059] In some embodiments, the target data range may be a data range corresponding to the target range. In some embodiments, the target data range may cover the target range and the target data range is larger than the target range.
[0060] The target range liquid metal property data may be the target data range liquid metal property data associated with the target range in the real-time Chuanxiong extract data.
[0061] In an independent implementation example, when determining whether there are items to be analyzed within the target scope, the following steps B1 to B2 may be performed: B1: Based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data of the target range, determine the intersection data corresponding to the target detection liquid of the item to be analyzed and the target range.
[0062] Here, the target liquid metal property data of the target detection liquid includes the liquid metal property data of the detection liquid detection core corresponding to the target detection liquid.
[0063] Exemplarily, taking the target detection liquid as liquid local component data as an example, the target liquid metal property data of the target detection liquid is the liquid metal property data of the liquid local component data detection core.
[0064] In an independently implemented embodiment, when determining the intersection data corresponding to the target detection liquid of the item to be analyzed and the target range, the intersection range between the detection liquid detection core and the target data range can be determined based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the liquid metal property data of the target range, the data volume of the intersection range can be determined, and / or the ratio of the intersection range to the data volume of the detection liquid detection core can be determined.
[0065] B2: Based on the cross-data, determine whether there are any items to be analyzed within the target scope.
[0066] Here, for any item to be analyzed, when determining whether the item to be analyzed exists in the target range, it can be determined whether the item to be analyzed exists in the target range based on the preset cross-data selection requirements and the cross-data corresponding to the detection liquid detection core of the item to be analyzed.
[0067] Specifically, if the cross-data corresponding to the detection liquid detection core of the item to be analyzed meets the preset cross-data selection requirements, it can be determined that the item to be analyzed exists in the target range; if the cross-data corresponding to the detection liquid detection core of the item to be analyzed meets the preset cross-data selection requirements, it can be determined that the item to be analyzed does not exist in the target range.
[0068] On the basis of the above, a heavy metal analysis system based on a magnetic-gas dual-drive intelligent nanorobot is shown, including a processor and a memory that communicate with each other, and the processor is used to read and execute a computer program from the memory to implement the above method.
[0069] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.
[0070] In summary, based on the above scheme, by determining the target liquid metal property data of the target detection liquid of the item to be analyzed in the real-time Chuanxiong extract data, and determining the metal cadmium content result corresponding to the real-time Chuanxiong extract data based on the target liquid metal property data and the liquid metal property data of the target range, compared with directly using the complete liquid metal property data corresponding to the item to be analyzed to judge the metal cadmium content result, the target detection liquid is used as the representative of the item to be analyzed, and it is more accurately judged whether the target detection liquid of the item to be analyzed exists in the target range, so as to indicate whether the item to be analyzed is in the target range, thereby improving the accuracy of data analysis.
[0071] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).
[0072] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other beneficial effects that may be obtained.
Claims
1. A heavy metal analysis method based on a magnetic-gas dual-drive intelligent nanorobot, characterized in that: include: Acquire real-time Chuanxiong extract data of a target item, wherein the target item is configured with a target range; Performing heavy metal component analysis on the real-time Chuanxiong extract data to obtain a heavy metal component analysis result; Based on the heavy metal component analysis result, determining the target liquid metal property data of the target detection liquid to be analyzed in the real-time Chuanxiong extract data; Based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data of the target range, the metal cadmium content result corresponding to the real-time Chuanxiong extract data is determined, and the metal cadmium content result is used to indicate whether the item to be analyzed exists in the target range.
2. The method according to claim 1, characterized in that The heavy metal component analysis result includes the heavy metal component analysis cores of several items to be analyzed in the real-time Chuanxiong extract data; The method of determining the target liquid metal property data of the target detection liquid to be analyzed in the real-time Chuanxiong extract data based on the heavy metal component analysis result includes: For each of the items to be analyzed, based on the preset association relationship between the target detection liquid and the item, and the heavy metal component analysis core, the target liquid metal property data of the target detection liquid of the item to be analyzed is determined.
3. The method according to claim 2, characterized in that The target liquid metal property data of the target detection liquid is the liquid metal property data of the detection liquid detection core corresponding to the target detection liquid; and / or, the target detection liquid includes liquid local component data, and the preset association relationship between the liquid local component data and the matter includes: the liquid local component data is within the baseline range of the matter.
4. The method according to any one of claims 1 to 3, characterized in that: The target range liquid metal property data is the target data range liquid metal property data associated with the target range in the real-time Chuanxiong extract data.
5. The method according to claim 4, characterized in that The target data range is a data range corresponding to the target range, or the target data range covers the target range, and the target data range is larger than the target range.
6. The method according to any one of claims 1 to 5, characterized in that: The method of determining the metal cadmium content result corresponding to the real-time Chuanxiong extract data based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data of the target range includes: Based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data, determining the intersection data corresponding to the target detection liquid of the item to be analyzed and the target range; Based on the crossover data, the metallic cadmium content result is determined.
7. The method according to claim 6, characterized in that The target liquid metal property data of the target detection liquid is the liquid metal property data of the detection liquid detection core corresponding to the target detection liquid; the range liquid metal property data is the liquid metal property data of the target data range associated with the target range in the real-time Chuanxiong extract data; the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data are used to determine the cross data corresponding to the target detection liquid of the item to be analyzed and the target range, including: Based on the target liquid metal property data of the target detection liquid of the item to be analyzed and the range liquid metal property data, determining the intersection range between the detection liquid detection core and the target data range; The amount of data in the intersection range and / or the ratio of the amount of data in the intersection range to the amount of data in the detection core of the detection liquid is obtained.
8. The method according to any one of claims 1 to 7, characterized in that: The number of the target ranges is one or more; and / or, the real-time Chuanxiong extract data includes real-time Chuanxiong extract data collected by multiple data collection modules for the target items, and different data collection modules collect data in different dimensions; the method further includes: Based on the metal cadmium content results corresponding to the real-time Chuanxiong extract data in each dimension, the metal cadmium content results corresponding to the target range are determined.
9. The method according to any one of claims 1 to 8, characterized in that: The method further comprises: In response to the metal cadmium content result indicating that the items to be analyzed exist in the target range, the items to be analyzed within the target range are annotated in the real-time Chuanxiong extract data, and abnormal content prompt information is output.