Artificial intelligence-based unmanned water sample automatic analysis system and method, computer storage medium
The AI-based unmanned water sample automated analysis system has enabled fully automated operation of the water quality analysis process, solving the problems of low efficiency and insufficient reliability in water quality analysis and monitoring, and improving the efficiency and reliability of water quality monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU XINGYUAN TECH CO LTD
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-07
AI Technical Summary
Existing technologies for water quality analysis and monitoring are inefficient and unreliable, relying on manual sampling and analysis, which leads to low efficiency and unreliability.
An AI-based unmanned automated water sample analysis system is adopted, including water sample storage and retrieval equipment, storage equipment, liquid separation equipment, and analysis equipment. It automatically identifies and controls water samples through visual recognition sensors, enabling fully unmanned operation. Combined with the automated pretreatment of the water sample separation equipment and the precise analysis of the water sample analysis equipment, the system achieves automation and reliability in water quality monitoring.
It significantly improves the efficiency and reliability of water quality analysis and monitoring, reduces human intervention errors, ensures the accuracy and consistency of water sample identification, enables full traceability of water sample analysis, and enhances the comprehensiveness and timeliness of water quality monitoring.
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Figure CN122171775B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent control technology, and in particular to an unmanned automated water sample analysis system and method based on artificial intelligence, as well as a computer storage medium. Background Technology
[0002] Water is a crucial natural resource for maintaining life and health, supporting production and construction, and ensuring ecological balance. Water quality directly affects public health, quality of life, and sustainable social development. Good water quality can effectively reduce the health risks posed by water pollutants, pathogens, and harmful substances, ensuring drinking water safety, food safety, and stable industrial and agricultural production. Conversely, deteriorating water quality not only triggers various health problems but also damages aquatic ecosystems, causing environmental harm and economic losses. Therefore, analyzing and monitoring various water sources to understand their water quality is essential.
[0003] Currently, the common method for analyzing and monitoring water sources mainly involves taking samples from the water source (such as a river or lake), bringing the samples back to the laboratory, and having water quality monitoring personnel analyze the samples using appropriate monitoring instruments to obtain the analysis results. The water quality of the source is then determined based on these results. However, practice has shown that due to the large number of water sources requiring analysis and monitoring, relying on water quality monitoring personnel to collect and analyze samples is not only inefficient but also detrimental to the reliability of water quality analysis and monitoring.
[0004] It is evident that improving the efficiency and reliability of water quality analysis and monitoring is a pressing technical issue that needs to be addressed. Summary of the Invention
[0005] This invention provides an unmanned automated water sample analysis system and method based on artificial intelligence, as well as a computer storage medium, which can realize fully automated control and analysis monitoring of several water samples, thereby improving the efficiency and reliability of water quality analysis and monitoring.
[0006] To address the aforementioned technical problems, the first aspect of this invention discloses an unmanned automated water sample analysis system based on artificial intelligence. The system includes a water sample retrieval device, a water sample storage device, a water sample separation device, and a water sample analysis device, wherein:
[0007] A water sample storage and retrieval device is used to identify multiple first water sample samples to be processed based on its visual recognition sensor to obtain visual recognition results; based on the visual recognition results, it is determined whether the current state of all first water sample samples meets the preset target water sample control conditions; if so, the sample information corresponding to each first water sample sample is read; wherein, the sample information corresponding to the first water sample sample includes at least the unique electronic tag corresponding to the first water sample sample and the water source information corresponding to the first water sample sample.
[0008] The water sample storage and retrieval device is further configured to determine a target control operation for all the first water sample samples based on the sample information corresponding to all the first water sample samples and the current status of the water sample processing collaborative resources, and to execute the target control operation on all the first water sample samples; the target control operation includes: a first control operation of transporting the water sample to the water sample storage device for water sample storage, and / or a second control operation of transporting the water sample to the water sample separation device for water sample pretreatment for analysis;
[0009] The water sample separation device is used to perform water sample pretreatment on each second water sample after detecting multiple second water sample samples to be processed, to obtain the sub-water sample to be analyzed corresponding to each second water sample sample, and to transport it to the water sample analysis device; wherein, all second water sample samples include water sample samples directly transported to the water sample separation device by the water sample storage and retrieval device and / or water sample samples taken from the water sample storage device;
[0010] The water sample analysis equipment is used to perform water quality analysis on each of the sub-water samples to be analyzed, and to obtain the water quality analysis result corresponding to each sub-water sample to be analyzed; and, for each second water sample, based on the water quality analysis results corresponding to all the sub-water samples to be analyzed, to comprehensively determine the water quality monitoring result of the water source to which the second water sample belongs.
[0011] As an optional implementation, in the first aspect of the present invention, the water sample storage and retrieval device determines the specific method of the target control operation for all the first water sample samples based on the sample information corresponding to all the first water sample samples and the current status of the water sample processing collaborative resources, including:
[0012] For any of the first water sample samples, the water sample storage and retrieval device determines the subsequent control operation corresponding to the first water sample sample based on the sample information corresponding to the first water sample sample and the current status of the water sample processing collaborative resources; the water sample processing collaborative resources include at least the water sample pretreatment resources corresponding to the water sample separation device, the first transport resources transported to the water sample storage and retrieval device, and the second transport resources transported to the water sample separation device.
[0013] The water sample storage and retrieval device determines the target control operation for all the first water sample samples based on the subsequent control operations corresponding to all the first water sample samples.
[0014] The system also includes a water sample information storage device, wherein:
[0015] The water sample information storage device is used to acquire water sample-related information transmitted by the water sample retrieval device, the water sample storage device, the water sample separation device, and the water sample analysis device, and to associate and store the acquired water sample-related information.
[0016] As an optional implementation, in the first aspect of the present invention, the water sample storage and retrieval device is further configured to: read the tray label corresponding to the target tray carrying the first water sample; and determine the tray type corresponding to the target tray according to the tray label; if the tray type indicates that the target tray is a sampling bottle tray, then perform the operation of identifying the multiple first water sample samples to be processed based on its visual recognition sensor to obtain the visual recognition result;
[0017] Furthermore, the water sample storage and retrieval device is also used to: after reading the sample information corresponding to each of the first water samples, determine the number of electronic tags of the sampling bottles read, and determine whether the number of electronic tags of the sampling bottles matches the total number of sampling bottles in the target tray. If they match, the device triggers the execution of the target control operation for all the first water samples based on the sample information corresponding to all the first water samples and the current state of the water sample processing collaborative resources, and executes the target control operation on all the first water samples.
[0018] As an optional implementation, in the first aspect of the present invention, the water sample separation device performs pre-analytical processing on each second water sample to obtain the sub-water sample to be analyzed corresponding to each second water sample, specifically in the following manner:
[0019] For a given second water sample, the water sample separation device controls the cap-opening device linked to it to perform a cap-opening operation matching the second water sample. After opening the cap, based on the source information of the second water sample, it is determined whether the second water sample needs to be stirred. If so, the linked stirring device is pre-processed. When the stirring device meets the stirring requirements, the stirring device is controlled to stir the second water sample. After stirring, when the linked liquid-taking device meets the liquid-taking requirements, the liquid-taking device is controlled to extract a portion of the water sample from the second water sample and store the collected portion of the water sample in a pre-determined separation container to obtain the sub-water sample to be analyzed corresponding to the second water sample.
[0020] Wherein, the number of sub-water samples to be analyzed corresponding to the second water sample is greater than or equal to the number of water quality monitoring requirements for the second water sample.
[0021] As an optional implementation, in the first aspect of the present invention, the water sample storage device is used to store the water sample to be stored transported by the water sample storage and retrieval device, and to transport the water sample to be analyzed to the water sample separation device for water sample pretreatment for analysis.
[0022] The specific method by which the water sample storage equipment stores the water sample to be stored transported by the water sample retrieval equipment includes:
[0023] When the water sample to be stored is transported by the water sample storage and retrieval equipment to the current identification area corresponding to the storage location, the water sample storage equipment calls the orientation identification sensor to identify the current placement orientation of the target tray and obtains the orientation identification result. If the orientation identification result indicates that the target tray currently meets the storage conditions corresponding to the water sample to be stored, then the robotic arm is called to take the water sample to be stored from the target tray and store the water sample to be stored in the storage space corresponding to the storage location.
[0024] Furthermore, the specific method by which the water sample storage equipment transports the water sample to be analyzed to the water sample separation equipment for pretreatment before analysis includes:
[0025] After storing the water sample to be stored in the storage space corresponding to the storage location, the water sample storage equipment determines whether the optimal retrieval conditions for one or more water samples to be analyzed are met based on the retrieval path information to be executed, the availability of the target pallet, and the current water sample analysis requirements. If the optimal retrieval conditions are met, the one or more water samples to be analyzed that meet the optimal retrieval conditions are retrieved from the corresponding storage space and placed in the target available space corresponding to the target pallet.
[0026] When the water sample to be analyzed placed on the target pallet includes the water sample required for the current water sample analysis and the current conditions meet the conditions for transporting the water sample to be analyzed, the water sample storage equipment will transport the target pallet to the water sample dispensing equipment.
[0027] As an optional implementation, in the first aspect of the present invention, the number of sub-water samples to be analyzed corresponding to the second water sample is specifically equal to the sum of the number of water quality monitoring requirements for the second water sample and the number of sample comparison requirements for the second water sample; the number of water quality monitoring requirements for the second water sample is determined based on all water quality requirement parameters in the water quality monitoring requirements for the second water sample, the water quality monitoring auxiliary reagent requirements for each of the water quality requirement parameters, and the mutual influence between water quality monitoring auxiliary reagents for different water quality requirement parameters;
[0028] The specific method by which the water sample analysis equipment performs water quality analysis on each of the sub-samples to be analyzed, and obtains the water quality analysis results corresponding to each sub-sample, includes:
[0029] For any sub-sample to be analyzed corresponding to any second water sample, when the sub-sample to be analyzed is transported to the corresponding current water quality monitoring position, the water sample analysis device reads the sample information and the water quality monitoring operations already performed for the sub-sample to be analyzed. Based on the water quality monitoring operations already performed, the water quality parameters to be monitored corresponding to the current water quality monitoring position, and the monitoring and analysis process corresponding to the water quality parameters to be monitored, the device performs a monitoring condition verification on the sub-sample to be analyzed. If the verification passes, the monitoring and analysis process corresponding to the water quality parameters to be monitored is executed. After the monitoring and analysis process corresponding to the water quality parameters to be monitored is completed, it is determined whether the monitoring and analysis operation corresponding to the sub-sample to be analyzed has been completed. If it has not been completed, the sub-sample to be analyzed is transported to the next water quality monitoring position.
[0030] As an optional implementation, in the first aspect of the invention, the system further includes a water sample information decision-making device, wherein the water sample information decision-making device is used for:
[0031] For any second water sample, the water sample information decision device analyzes the current water quality and water quality changes of the water source to which the second water sample belongs, based on the sample information corresponding to the second water sample, the current water quality analysis results corresponding to the second water sample, and the historical water quality analysis results corresponding to the same source water sample of the second water sample. Based on the current water quality and water quality changes of the water source to which the second water sample belongs, and in conjunction with the purpose of the water source to which the second water sample belongs, the device outputs the treatment strategy corresponding to the water source to which the second water sample belongs.
[0032] A second aspect of this invention discloses an artificial intelligence-based unmanned automated water sample analysis method, which is applied to an unmanned automated water sample analysis system, comprising water sample retrieval equipment, water sample storage equipment, water sample separation equipment, and water sample analysis equipment; wherein, the method includes:
[0033] The water sample storage and retrieval device identifies multiple first water sample samples to be processed based on its visual recognition sensor to obtain visual recognition results; based on the visual recognition results, it determines whether the current state of all first water sample samples meets the preset target water sample control conditions; if so, it reads the sample information corresponding to each first water sample sample; wherein, the sample information corresponding to the first water sample sample includes at least the unique electronic tag corresponding to the first water sample sample and the water source information corresponding to the first water sample sample.
[0034] The water sample storage and retrieval device determines the target control operation for all the first water sample samples based on the sample information corresponding to all the first water sample samples and the current status of the water sample processing collaborative resources, and performs the target control operation on all the first water sample samples; the target control operation includes: a first control operation of transporting the water sample to the water sample storage device for water sample storage, and / or a second control operation of transporting the water sample to the water sample separation device for water sample pretreatment for analysis;
[0035] After detecting multiple second water samples to be processed, the water sample separation device performs water sample pretreatment on each second water sample to obtain a sub-water sample to be analyzed corresponding to each second water sample, and then transports it to the water sample analysis device; wherein, all second water samples include water samples directly transported to the water sample separation device by the water sample storage and retrieval device and / or water samples taken from the water sample storage device;
[0036] The water sample analysis device performs water quality analysis on each of the sub-water samples to be analyzed, and obtains the water quality analysis result corresponding to each sub-water sample to be analyzed; and, for each second water sample, based on the water quality analysis results corresponding to all the sub-water samples to be analyzed, comprehensively determines the water quality monitoring result of the water source to which the second water sample belongs.
[0037] As an optional implementation, in a second aspect of the invention, the method further includes:
[0038] The water sample storage and retrieval device determines the target control operation for all the first water sample samples based on the sample information corresponding to all the first water sample samples and the current status of the water sample processing collaborative resources, including:
[0039] For any of the first water sample samples, the water sample storage and retrieval device determines the subsequent control operation corresponding to the first water sample sample based on the sample information corresponding to the first water sample sample and the current status of the water sample processing collaborative resources; the water sample processing collaborative resources include at least the water sample pretreatment resources corresponding to the water sample separation device, the first transport resources transported to the water sample storage and retrieval device, and the second transport resources transported to the water sample separation device.
[0040] The water sample storage and retrieval device determines the target control operation for all the first water sample samples based on the subsequent control operations corresponding to all the first water sample samples.
[0041] Furthermore, the system also includes a water sample information storage device, and the method further includes:
[0042] The water sample information storage device acquires water sample-related information transmitted by the water sample retrieval device, the water sample storage device, the water sample separation device, and the water sample analysis device, and stores the acquired water sample-related information in association.
[0043] As an optional implementation, in a second aspect of the invention, the method further includes:
[0044] The water sample storage and retrieval device reads the tray label corresponding to the target tray carrying the first water sample; and determines the tray type corresponding to the target tray based on the tray label; if the tray type indicates that the target tray is a sampling bottle tray, then the step of identifying the multiple first water sample samples to be processed based on its visual recognition sensor to obtain visual recognition results is executed; and...
[0045] After reading the sample information corresponding to each of the first water samples, the water sample storage and retrieval device determines the number of electronic tags on the sampling bottles and judges whether the number of electronic tags on the sampling bottles matches the total number of sampling bottles in the target tray. If they match, the device triggers the execution of the step of determining the target control operation for all the first water samples based on the sample information corresponding to all the first water samples and the current status of the water sample processing collaborative resources, and then executing the target control operation on all the first water samples.
[0046] As an optional implementation, in a second aspect of the present invention, the water sample separation device performs pre-analytical processing on each second water sample to obtain a sub-water sample to be analyzed corresponding to each second water sample, including:
[0047] For a given second water sample, the water sample separation device controls the cap-opening device linked to it to perform a cap-opening operation matching the second water sample. After opening the cap, based on the source information of the second water sample, it is determined whether the second water sample needs to be stirred. If so, the linked stirring device is pre-processed. When the stirring device meets the stirring requirements, the stirring device is controlled to stir the second water sample. After stirring, when the linked liquid-taking device meets the liquid-taking requirements, the liquid-taking device is controlled to extract a portion of the water sample from the second water sample and store the collected portion of the water sample in a pre-determined separation container to obtain the sub-water sample to be analyzed corresponding to the second water sample.
[0048] Wherein, the number of sub-water samples to be analyzed corresponding to the second water sample is greater than or equal to the number of water quality monitoring requirements for the second water sample.
[0049] As an optional implementation, in a second aspect of the invention, the method further includes:
[0050] The water sample storage equipment stores the water sample to be stored transported by the water sample storage and retrieval equipment, and transports the water sample to be analyzed to the water sample separation equipment for water sample pretreatment for analysis.
[0051] The water sample storage equipment stores the water sample to be stored transported by the water sample retrieval equipment, including:
[0052] When the water sample to be stored is transported by the water sample storage and retrieval equipment to the current identification area corresponding to the storage location, the water sample storage equipment calls the orientation identification sensor to identify the current placement orientation of the target tray and obtains the orientation identification result. If the orientation identification result indicates that the target tray currently meets the storage conditions corresponding to the water sample to be stored, then the robotic arm is called to take the water sample to be stored from the target tray and store the water sample to be stored in the storage space corresponding to the storage location.
[0053] And, the water sample storage equipment transports the water sample to be analyzed to the water sample separation equipment before water sample analysis, including:
[0054] After storing the water sample to be stored in the storage space corresponding to the storage location, the water sample storage equipment determines whether the optimal retrieval conditions for one or more water samples to be analyzed are met based on the retrieval path information to be executed, the availability of the target pallet, and the current water sample analysis requirements. If the optimal retrieval conditions are met, the one or more water samples to be analyzed that meet the optimal retrieval conditions are retrieved from the corresponding storage space and placed in the target available space corresponding to the target pallet.
[0055] When the water sample to be analyzed placed on the target pallet includes the water sample required for the current water sample analysis and the current conditions meet the conditions for transporting the water sample to be analyzed, the water sample storage equipment will transport the target pallet to the water sample dispensing equipment.
[0056] As an optional implementation, in a second aspect of the present invention, the number of sub-water samples to be analyzed corresponding to the second water sample is specifically equal to the sum of the number of water quality monitoring requirements for the second water sample and the number of sample comparison requirements for the second water sample; the number of water quality monitoring requirements for the second water sample is determined based on all water quality requirement parameters in the water quality monitoring requirements for the second water sample, the water quality monitoring auxiliary reagent requirements for each of the water quality requirement parameters, and the mutual influence between water quality monitoring auxiliary reagents for different water quality requirement parameters;
[0057] The water sample analysis device performs water quality analysis on each of the sub-samples to be analyzed, and obtains the water quality analysis results corresponding to each sub-sample, including:
[0058] For any sub-sample to be analyzed corresponding to any second water sample, when the sub-sample to be analyzed is transported to the corresponding current water quality monitoring position, the water sample analysis device reads the sample information and the water quality monitoring operations already performed for the sub-sample to be analyzed. Based on the water quality monitoring operations already performed, the water quality parameters to be monitored corresponding to the current water quality monitoring position, and the monitoring and analysis process corresponding to the water quality parameters to be monitored, the device performs a monitoring condition verification on the sub-sample to be analyzed. If the verification passes, the monitoring and analysis process corresponding to the water quality parameters to be monitored is executed. After the monitoring and analysis process corresponding to the water quality parameters to be monitored is completed, it is determined whether the monitoring and analysis operation corresponding to the sub-sample to be analyzed has been completed. If it has not been completed, the sub-sample to be analyzed is transported to the next water quality monitoring position.
[0059] As an optional implementation, in a second aspect of the invention, the system further includes a water sample information decision-making device; wherein the method further includes:
[0060] For any second water sample, the water sample information decision device analyzes the current water quality and water quality changes of the water source to which the second water sample belongs, based on the sample information corresponding to the second water sample, the current water quality analysis results corresponding to the second water sample, and the historical water quality analysis results corresponding to the same source water sample of the second water sample. Based on the current water quality and water quality changes of the water source to which the second water sample belongs, and in conjunction with the purpose of the water source to which the second water sample belongs, the device outputs the treatment strategy corresponding to the water source to which the second water sample belongs.
[0061] A third aspect of this invention discloses another unmanned automated water sample analysis system based on artificial intelligence, the system comprising:
[0062] Memory containing executable program code;
[0063] A processor coupled to the memory;
[0064] The processor calls the executable program code stored in the memory to execute the artificial intelligence-based automated water sample analysis method as described in any of the second aspects of the present invention.
[0065] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute an automated unmanned water sample analysis method based on artificial intelligence as described in any of the second aspects of the present invention.
[0066] Compared with the prior art, the present invention has the following beneficial effects:
[0067] In this invention, the entire system achieves fully automated operation from water sample access, identification, control, storage, pretreatment for separation, to water quality analysis and result synthesis through the coordinated linkage of water sample storage equipment, water sample retrieval equipment, water sample separation equipment, and water sample analysis equipment. This completely changes the cumbersome operation mode of traditional water sample analysis, such as manual handling, manual separation, and manual data entry, and significantly reduces errors caused by human intervention. In addition, the water sample storage equipment uses visual recognition sensors to automatically identify multiple first water sample samples, replacing the traditional method of manual identification and verification. This effectively avoids problems such as missed judgments, misjudgments, and low identification efficiency that occur during manual identification, while also enabling batch processing of multiple water samples. Step-by-step identification significantly improves the efficiency and accuracy of water sample identification, laying a precise data foundation for subsequent water sample management operations. Furthermore, by using visual recognition results to determine whether the current state of a water sample meets preset target water sample management conditions, it can pre-screen water samples with abnormal conditions (such as damage, contamination, unclear labeling, etc.), avoiding or reducing the entry of abnormal water samples into subsequent storage and analysis stages, ensuring the reliability of the entire water sample analysis process, reducing invalid analysis operations, and lowering analysis costs. In addition, by reading the unique electronic tag and water source information corresponding to each first water sample, a unique "identity identifier" is assigned to each water sample, achieving traceability throughout the entire analysis cycle of the water sample, while also facilitating the matching of subsequent water quality analysis results with water source information. The precise correlation enhances the traceability of water quality monitoring. Furthermore, the water sample separation equipment automates the pretreatment of multiple secondary water samples, replacing traditional manual separation and pretreatment operations. This not only improves pretreatment efficiency but also ensures consistency and standardization of pretreatment operations for each water sample, avoiding pretreatment errors caused by differences in operation techniques, dosage control, and processing time during manual operations. This, in turn, improves the accuracy and repeatability of subsequent water quality analysis results. In addition, the sample storage and retrieval equipment can directly transport water samples to the separation equipment or, as needed, to storage equipment, enabling flexible management of water samples. Finally, the water sample analysis equipment performs precise analysis on each sub-sample to be analyzed, combined with the standardization of the separation equipment... Standardized preprocessing reduces analytical errors caused by water sample contamination and loss, ensuring the accuracy of individual sub-sample analysis results. Simultaneously, by comprehensively evaluating the analysis results of multiple sub-samples from the same second water sample, it avoids random errors in single sub-sample analysis, improving the comprehensiveness and reliability of water quality monitoring results. Furthermore, the system links and stores water sample information (electronic tags, water source information) with water quality monitoring results, achieving a one-to-one correspondence between "water sample - information - analysis results." This facilitates subsequent verification, tracing, and review of water quality monitoring results, while providing complete data support for water quality change trend analysis and pollution source tracing, thus improving the accuracy and timeliness of water quality supervision. Attached Figure Description
[0068] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0069] Figure 1 This is a flowchart illustrating an automated water sample analysis method based on artificial intelligence disclosed in an embodiment of the present invention.
[0070] Figure 2 This is a schematic diagram of the structure of an unmanned automated water sample analysis system based on artificial intelligence, as disclosed in an embodiment of the present invention.
[0071] Figure 3 This is a schematic diagram of another unmanned automated water sample analysis system based on artificial intelligence disclosed in an embodiment of the present invention;
[0072] Figure 4 This is a schematic diagram of a display interface for a visual recognition result disclosed in an embodiment of the present invention;
[0073] Figure 5 This is a schematic diagram of the storage space management interface of a water sample storage device disclosed in an embodiment of the present invention. Detailed Implementation
[0074] To better understand and implement this invention, the technical solutions in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.
[0075] It should be noted that, unless otherwise explicitly specified and limited, the term "electrical connection" in the specification, claims, and accompanying drawings of this invention should be interpreted broadly. For example, it can refer to a fixed electrical connection, a detachable electrical connection, or an integral electrical connection; it can refer to a mechanical electrical connection or a mutually communicating connection; it can refer to a direct connection or an indirect connection through an intermediate medium; it can refer to the internal connection of two elements or the interaction between two elements. Furthermore, the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0076] This invention discloses an unmanned automated water sample analysis system and method based on artificial intelligence, as well as a computer storage medium. Through the coordinated operation of water sample retrieval equipment, water sample storage equipment, water sample separation equipment, and water sample analysis equipment, it achieves fully unmanned operation from water sample access, identification, control, storage, pre-treatment for separation, to water quality analysis and result synthesis, which is beneficial to improving the efficiency and reliability of water quality analysis and monitoring. Detailed descriptions follow.
[0077] Example 1
[0078] Please see Figure 1 , Figure 1 This is a flowchart illustrating an automated water sample analysis method based on artificial intelligence disclosed in an embodiment of the present invention. Figure 1 The described method is applied to an unmanned automated water sample analysis system, which includes at least water sample retrieval equipment, water sample storage equipment, water sample separation equipment, and water sample analysis equipment. Figure 1 As shown, this AI-based automated water sample analysis method may include the following steps:
[0079] 101. The water sample storage and retrieval equipment identifies multiple first water sample samples to be processed based on its visual recognition sensor to obtain visual recognition results; based on the visual recognition results, it determines whether the current state of all first water sample samples meets the pre-set target water sample control conditions.
[0080] In this embodiment of the invention, a visual recognition sensor is used to acquire images of multiple first water sample samples, thereby obtaining image acquisition results of the multiple first water sample samples as visual recognition results. Optionally, after obtaining the visual recognition results, the water sample storage and retrieval device can also display the visual recognition results through a linked display device (such as a display screen). For example, the display interface of the visual recognition results can be as follows: Figure 4 As shown, Figure 4 This is a schematic diagram of a display interface for a visual recognition result disclosed in an embodiment of the present invention. Further, the visual recognition result may include at least one of the following: the number of identified first water sample samples, the sealing status of the first water sample samples (whether there is a lid, whether the lid is tightened, etc.), the water sample status within the first water sample samples (e.g., whether there is water sample, water sample volume, etc.), and container parameters corresponding to the first water sample samples. These container parameters may include container type, container size, container material, etc., which are not limited in this embodiment of the present invention. Taking the visual recognition result including the sealing status of the first water sample samples and the water sample status within the first water sample samples as an example, the above-mentioned determination of whether the current status of all first water sample samples meets the pre-set target water sample control conditions based on the visual recognition result may include:
[0081] For any first water sample, determine whether the water sample status in the water sample indicates the presence of water sample. If so, further determine whether the water sample volume ratio in the water sample is greater than or equal to a preset ratio threshold. If the water sample volume ratio is greater than or equal to the preset ratio threshold, determine whether the water sample has a lid and whether the lid is tightened. If the water sample has a lid and it is tightened, determine that the water sample meets the preset target water sample control conditions.
[0082] 102. If the current state of all first water samples meets the pre-set target water sample control conditions, the water sample storage and retrieval device reads the sample information corresponding to each first water sample.
[0083] In this embodiment of the invention, the sample information corresponding to the first water sample includes at least the unique electronic tag corresponding to the first water sample and the water source information corresponding to the first water sample. Further, the sample information also includes the current volume percentage of the first water sample, the current color of the first water sample, the turbidity of the water sample, the collection time of the first water sample, the rainfall status of the corresponding area before the collection time of the first water sample, the water discharge from other water sources to the water source to which the first water sample belongs before the collection time of the first water sample, the water monitoring requirements corresponding to the first water sample, the urgency of water monitoring for the first water sample, and the purpose of water monitoring for the first water sample, etc., which are not limited in this embodiment of the invention.
[0084] 103. The water sample storage and retrieval equipment determines the target control operation for all first water samples based on the sample information corresponding to all first water samples and the current status of water sample processing collaborative resources, and executes the target control operation for all first water samples.
[0085] The target control operations include: a first control operation of transporting the water sample to a water sample storage facility for storage, and / or a second control operation of transporting the water sample to a water sample separation facility for pre-analytical processing. It should be noted that the target control operations performed on different first water sample samples can be the same or different. For example, a portion of the first water sample can be temporarily stored in the water sample storage facility, and then the remaining first water sample can be transported to the water sample separation facility for pre-analytical processing.
[0086] 104. After detecting multiple second water samples to be processed, the water sample separation equipment performs water sample pretreatment on each second water sample to obtain the sub-water sample to be analyzed corresponding to each second water sample, and then transports it to the water sample analysis equipment.
[0087] The pretreatment of water samples for analysis may include stirring and separation. Stirring is used to ensure a more uniform distribution of substances (such as sediment) in the water sample, while separation divides the second water sample into multiple sub-samples according to the needs of subsequent water sample analysis. It should be noted that during the separation process, stirring may be performed multiple times as needed to ensure the homogeneity of the water sample.
[0088] 105. The water sample analysis equipment performs water quality analysis on each sub-sample to be analyzed, and obtains the water quality analysis results corresponding to each sub-sample; and, for each second water sample, based on the water quality analysis results corresponding to all its sub-samples to be analyzed, comprehensively determines the water quality monitoring results of the water source to which the second water sample belongs.
[0089] In this embodiment of the invention, the water sample analysis equipment is composed of multiple fully automated water quality testing instruments. The instrument types and quantities can be flexibly configured according to the actual technical requirements of the water quality analysis indicators. These instruments work together to achieve fully automated preprocessing and accurate analysis of multiple indicators in the water sample. Different sub-samples to be analyzed can correspond to the same type of water quality analysis results or different types of water quality analysis results. Optionally, the water quality monitoring results may include one or more combinations of permanganate index, total phosphorus, total nitrogen, heavy metals, mercury content, hexavalent chromium, cyanide, volatile phenols, anionic surfactants, sulfides, fluorides, sulfates, chlorides, and nitrates. This embodiment of the invention does not limit the specific parameters. The water sample analysis equipment...
[0090] As can be seen, the method described in the embodiments of the present invention achieves fully automated operation of the entire process from water sample access, identification, control, storage, pretreatment before separation, to water quality analysis and result synthesis through the coordinated linkage of water sample storage equipment, water sample retrieval equipment, water sample separation equipment, and water sample analysis equipment. This completely changes the cumbersome operation mode of traditional water sample analysis, such as manual handling, manual separation, and manual data entry, and significantly reduces errors caused by human intervention. In addition, the water sample storage equipment uses a visual recognition sensor to automatically identify multiple first water sample samples, replacing the traditional method of manual visual identification and manual verification. This effectively avoids problems such as missed judgments, misjudgments, and low identification efficiency that occur during manual identification, while simultaneously achieving multi-sample processing. Batch synchronous identification of water samples significantly improves the efficiency and accuracy of water sample identification, laying a precise data foundation for subsequent water sample management operations. Furthermore, by using visual recognition results to determine whether the current state of a water sample meets preset target water sample management conditions, abnormal water samples (such as damaged, contaminated, or poorly labeled samples) can be screened out in advance, preventing or reducing the entry of abnormal water samples into subsequent storage and analysis stages. This ensures the reliability of the entire water sample analysis process, reduces invalid analysis operations, and lowers analysis costs. In addition, reading the unique electronic tag and water source information corresponding to each first water sample assigns a unique "identity" to each sample, achieving traceability throughout the entire analysis cycle and facilitating subsequent water quality analysis results. Precise correlation of water source information enhances the traceability of water quality monitoring. Furthermore, the water sample separation equipment automates the pretreatment of multiple secondary water samples, replacing traditional manual separation and pretreatment operations. This not only improves pretreatment efficiency but also ensures consistency and standardization of pretreatment operations for each water sample, avoiding pretreatment errors caused by differences in operation techniques, dosage control, and processing time during manual operation. This, in turn, improves the accuracy and repeatability of subsequent water quality analysis results. In addition, the sample storage and retrieval equipment can directly transport water samples to the separation equipment or, as needed, to storage equipment, enabling flexible management of water samples. Moreover, the water sample analysis equipment performs precise analysis on each sub-sample to be analyzed, in conjunction with the separation equipment. The standardized pre-processing reduces analytical errors caused by water sample contamination and loss, ensuring the accuracy of individual sub-sample analysis results. Simultaneously, by comprehensively evaluating the analysis results of multiple sub-samples from the same second water sample, the system avoids random errors in single sub-sample analysis, improving the comprehensiveness and reliability of water quality monitoring results. Furthermore, the system links and stores water sample information (electronic tags, water source information) with water quality monitoring results, achieving a one-to-one correspondence between "water sample - information - analysis results." This facilitates subsequent verification, tracing, and review of water quality monitoring results, while providing complete data support for water quality change trend analysis and pollution source tracing, thus enhancing the accuracy and timeliness of water quality supervision.
[0091] In an optional embodiment, the method may further include the following operations:
[0092] The water sample storage device reads the tray label corresponding to the target tray carrying the first water sample; and determines the tray type corresponding to the target tray based on the tray label; if the tray type indicates that the target tray is a sampling bottle tray, then the device performs the step of identifying multiple first water sample samples to be processed based on its visual recognition sensor to obtain visual recognition results; and,
[0093] After reading the sample information corresponding to each first water sample, the water sample storage and retrieval device determines the number of electronic tags on the sampling bottles and judges whether the number of electronic tags on the sampling bottles matches the total number of sampling bottles in the target tray. If they match, the device triggers the execution of the steps of determining the target control operation for all first water samples based on the sample information corresponding to all first water samples and the current status of water sample processing collaborative resources, and then performing the target control operation on all first water samples.
[0094] As can be seen, this optional embodiment can also determine the tray type based on the label, realizing automated tray identification and classification. The visual recognition operation of subsequent water samples is only triggered when the tray type is a sampling bottle tray, realizing precise triggering and on-demand execution of the operation process. In addition, it can count the number of electronic tags on the sampling bottles and match and verify them with the total number of sampling bottles in the target tray, forming a dual verification mechanism of "sample reading - quantity verification". This effectively avoids problems such as missed or incorrect scanning of water samples (such as not reading the electronic tag of a single water sample or reading an irrelevant electronic tag), ensuring that the sample information of all water samples to be processed is completely collected, laying a complete and accurate data foundation for subsequent target control operations and water quality analysis result traceability.
[0095] In another optional embodiment, the water sample separation device performs pre-analytical processing on each second water sample to obtain a corresponding sub-water sample to be analyzed, including:
[0096] For a given second water sample, the water sample separation device controls the cap-opening device linked to it to perform a cap-opening operation matching the second water sample. After opening the cap, based on the source information of the second water sample, it is determined whether the second water sample needs to be stirred. If so, the linked stirring device is pre-treated (e.g., cleaned and / or dried). When the stirring device meets the stirring requirements, the stirring device is controlled to stir the second water sample. After stirring, when the linked liquid-taking device meets the liquid-taking requirements (e.g., it has been cleaned and / or dried), the liquid-taking device is controlled to extract a portion of the water sample from the second water sample and store the collected portion of the water sample in a pre-determined separation container to obtain the sub-water sample to be analyzed corresponding to the second water sample.
[0097] Among them, the number of sub-water samples to be analyzed corresponding to the second water sample is greater than or equal to the number of water quality monitoring requirements for the second water sample.
[0098] As can be seen, this optional embodiment can also control the linked cap-opening device to perform an opening operation that matches the second water sample, solving the problem of poor compatibility of opening caps for different specifications and types of sampling bottles (such as screw caps, push caps, and sampling bottles of different diameters), and improving the accuracy and versatility of the cap-opening operation. In addition, it can reduce the risk of contamination from manual contact with water samples while improving cap-opening efficiency. Furthermore, it can reduce analytical errors caused by not stirring water samples that require stirring (such as industrial wastewater samples containing sediment or with uneven composition). Before stirring, the linked stirring device is pre-treated (e.g., cleaned, calibrated, and checked for status) to ensure that the stirring device meets the stirring requirements. This avoids water sample contamination or uneven stirring caused by residual contaminants in the stirring device or abnormal stirring parameters (e.g., speed or stirring time not meeting standards), further ensuring the homogeneity of water sample composition. In addition, the liquid sampling device is performed only after meeting the liquid sampling requirements. The status of the liquid sampling device is pre-verified to avoid contamination of the liquid sampling device or insufficient liquid sampling accuracy, resulting in contamination of the sub-water sample and deviation in liquid volume. This ensures that the extracted water sample can truly reflect the water quality status of the original second water sample. Furthermore, it can control the liquid extraction device to draw a portion of the water sample and store it in a pre-determined dispensing container, thus automating and standardizing the liquid extraction and dispensing process. This replaces the traditional manual extraction and dispensing method, avoiding problems such as water sample spillage, inaccurate liquid volume, and container contamination caused by operational errors during manual extraction. In addition, it can ensure the consistency between multiple sub-water samples of the same second water sample, avoiding analytical result deviations caused by differences in sub-water sample samples. Moreover, it can ensure that there are sufficient sub-water sample samples to complete the analysis of all preset monitoring indicators, avoiding problems such as monitoring interruption and missing monitoring indicators caused by insufficient factor water sample samples. At the same time, it reserves spare sub-water sample samples to facilitate subsequent review and traceability of abnormal results.
[0099] In yet another optional embodiment, the method may further include:
[0100] Water sample storage equipment stores water sample samples to be stored that are transported by water sample storage and retrieval equipment, and transports water sample samples to be analyzed to water sample separation equipment for water sample pretreatment for analysis.
[0101] In this optional embodiment, the water sample storage equipment stores the water sample to be stored transported by the water sample retrieval equipment, including:
[0102] When the water sample to be stored is transported by the water sample storage and retrieval equipment to the current identification area corresponding to the storage location, the water sample storage equipment calls the orientation identification sensor to identify the current placement orientation of the target pallet and obtain the orientation identification result. If the orientation identification result indicates that the target pallet currently meets the retrieval and storage conditions corresponding to the water sample to be stored, then the robotic arm is called to take the water sample to be stored from the target pallet and store the water sample to be stored in the storage space corresponding to the storage location.
[0103] In this optional embodiment, the water sample storage device transports the water sample to be analyzed to the water sample separation device before water sample analysis, including:
[0104] After storing the water sample to be stored in the storage space corresponding to the storage location, the water sample storage equipment determines whether the optimal retrieval conditions (such as optimal path conditions, minimum complexity conditions) for one or more water samples to be analyzed are met based on the retrieval path information to be executed, the availability of the target pallet, and the current water sample analysis requirements. If the conditions are met, the one or more water samples to be analyzed that meet the optimal retrieval conditions are retrieved from the corresponding storage space and placed in the target available space corresponding to the target pallet.
[0105] When the target pallet contains water samples required for the current water sample analysis and the current conditions meet the conditions for transporting the water samples to be analyzed, the water sample storage equipment will transport the target pallet to the water sample separation equipment.
[0106] Optionally, the water sample storage status of the water sample storage equipment can be visualized and controlled. For example, the control interface for a specific storage space of the water sample storage equipment can be displayed as follows: Figure 5 As shown, Figure 5 This is a schematic diagram of the storage space management interface of a water sample storage device disclosed in an embodiment of the present invention.
[0107] It is evident that this optional embodiment can also improve the control accuracy of water sample storage, and when storing water samples, it can also simultaneously remove the samples to be analyzed according to the actual situation, which is conducive to improving the utilization rate of tray resources, as well as improving the efficiency and accuracy of removing the water samples to be analyzed.
[0108] In another optional embodiment, the number of sub-water samples to be analyzed corresponding to the second water sample is specifically equal to the sum of the number of water quality monitoring requirements for the second water sample and the number of sample comparison requirements for the second water sample; the number of water quality monitoring requirements for the second water sample is determined based on all water quality requirement parameters in the water quality monitoring requirements for the second water sample, the water quality monitoring auxiliary reagent requirements for each water quality requirement parameter, and the mutual influence between water quality monitoring auxiliary reagents for different water quality requirement parameters.
[0109] It is evident that this optional embodiment can also improve the accuracy of the number of sub-water samples to be analyzed corresponding to the second water sample, so as to meet the water quality monitoring requirements and improve the efficiency and accuracy of water quality monitoring.
[0110] In another optional embodiment, the water sample analysis device performs water quality analysis on each sub-sample to be analyzed, and obtains the water quality analysis results corresponding to each sub-sample, including:
[0111] For any sub-sample to be analyzed corresponding to any second water sample, when the sub-sample to be analyzed is transported to the corresponding current water quality monitoring position, the water sample analysis equipment reads the sample information and the water quality monitoring operations already performed for the sub-sample to be analyzed. Based on the water quality monitoring operations already performed, the water quality parameters to be monitored corresponding to the current water quality monitoring position, and the monitoring and analysis procedures corresponding to the water quality parameters to be monitored, the monitoring conditions of the sub-sample to be analyzed are verified. If the verification passes, the monitoring and analysis procedures corresponding to the water quality parameters to be monitored are executed. After the monitoring and analysis procedures corresponding to the water quality parameters to be monitored are completed, it is determined whether the monitoring and analysis operations corresponding to the sub-sample to be analyzed have been completed. If they have not been completed, the sub-sample to be analyzed is transported to the next water quality monitoring position.
[0112] As can be seen, this optional embodiment can also realize the linkage control between multiple water quality parameter monitoring processes, reduce the interference of the preceding water quality monitoring process on the subsequent water quality monitoring process, not only ensure the orderly implementation of water quality monitoring parameters, but also help improve the efficiency and accuracy of water quality monitoring.
[0113] In yet another optional embodiment, the aforementioned unmanned automated water sample analysis system may further include: a water sample information decision-making device. The method further includes:
[0114] For any second water sample, the water sample information decision-making device analyzes the current water quality and changes of the water source to which the second water sample belongs, based on the sample information corresponding to the second water sample, the current water quality analysis results corresponding to the second water sample, and the historical water quality analysis results corresponding to the same source water sample of the second water sample. Based on the current water quality and changes of the water source to which the second water sample belongs, and in conjunction with the purpose of the water source to which the second water sample belongs, the device outputs the treatment strategy corresponding to the water source to which the second water sample belongs.
[0115] As can be seen, this optional embodiment can also integrate multi-dimensional parameters (current water quality monitoring status and historical water quality monitoring status), and further combine the purpose of the water source to which the water sample belongs to intelligently generate the corresponding water quality treatment strategy, which not only enriches the intelligent functions of the system, but also improves the reliability of the water quality treatment strategy.
[0116] In another optional embodiment, the water sample storage device determines the target control operation for all first water samples based on the sample information corresponding to all first water samples and the current status of water sample processing collaborative resources, including:
[0117] For any first water sample, the water sample storage and retrieval device determines the subsequent control operation corresponding to the first water sample based on the sample information corresponding to the first water sample and the current status of the water sample processing collaborative resources; the water sample processing collaborative resources include at least the water sample pretreatment resources corresponding to the water sample separation device, the first transport resources (such as robotic arms and trays) transported to the water sample storage and retrieval device, and the second transport resources (such as robotic arms and trays) transported to the water sample separation device.
[0118] The water sample storage and retrieval equipment determines the target control operation for all first water samples based on the subsequent control operations corresponding to all first water samples.
[0119] As can be seen, this optional embodiment can comprehensively determine the target control operation for all first water samples by integrating multi-dimensional information (sample information, the current status of water sample processing collaborative resources, and the subsequent control operation corresponding to each water sample), which is conducive to improving the reliability and accuracy of the target control operation, and can also improve the matching degree between the target control operation and the actual water quality monitoring needs and the actual collaborative resource situation.
[0120] In yet another optional embodiment, the system further includes a water sample information storage device, and the method further includes:
[0121] The water sample information storage device acquires water sample-related information transmitted from water sample retrieval equipment, water sample storage equipment, water sample separation equipment, and water sample analysis equipment, and stores the acquired water sample-related information in association.
[0122] As can be seen, this optional embodiment can associate and store all relevant water sample information during the water sample monitoring process, which not only enables full-process backtracking of water sample monitoring, but also provides a reliable and accurate reference for water quality treatment strategies.
[0123] Example 2
[0124] Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of an unmanned automated water sample analysis system based on artificial intelligence, as disclosed in an embodiment of the present invention. Figure 2The described system is used to implement any of the AI-based automated water sample analysis methods described in Embodiment 1. For example... Figure 2 As shown, the system may include a water sample retrieval device 201, a water sample storage device 202, a water sample separation device 203, and a water sample analysis device 204, wherein:
[0125] The water sample storage and retrieval device 201 is used to identify multiple first water sample samples to be processed based on its visual recognition sensor to obtain visual recognition results; based on the visual recognition results, it determines whether the current state of all first water sample samples meets the preset target water sample control conditions; if so, it reads the sample information corresponding to each first water sample sample; wherein, the sample information corresponding to the first water sample sample includes at least the unique electronic tag corresponding to the first water sample sample and the water source information corresponding to the first water sample sample.
[0126] The water sample storage and retrieval device 201 is also used to determine the target control operation for all first water samples based on the sample information corresponding to all first water samples and the current status of water sample processing collaborative resources, and to perform the target control operation on all first water samples; the target control operation includes: a first control operation of transporting the water sample to the water sample storage device 202 for water sample storage, and / or a second control operation of transporting the water sample to the water sample separation device 203 for water sample pretreatment for analysis;
[0127] The water sample separation device 203 is used to perform water sample pretreatment on each second water sample after detecting multiple second water sample samples to be processed, to obtain the sub-water sample to be analyzed corresponding to each second water sample sample, and to transport it to the water sample analysis device; wherein, all second water sample samples include water sample samples directly transported to the water sample separation device from the water sample storage device and / or water sample samples taken from the water sample storage device.
[0128] The water sample analysis device 204 is used to perform water quality analysis on each sub-sample to be analyzed, and to obtain the water quality analysis result corresponding to each sub-sample; and, for each second water sample, to comprehensively determine the water quality monitoring result of the water source to which the second water sample belongs based on the water quality analysis results corresponding to all its sub-samples to be analyzed.
[0129] As can be seen, the embodiments of the present invention can achieve fully unmanned operation of the entire process from water sample access, identification, control, storage, pretreatment of liquid separation to water quality analysis and result synthesis through the coordinated linkage of water sample storage equipment, water sample retrieval equipment, water sample separation equipment and water sample analysis equipment. This completely changes the cumbersome operation mode of traditional water sample analysis, such as manual handling, manual liquid separation and manual data entry, and greatly reduces the error caused by human intervention.
[0130] In an optional embodiment, the water sample storage device 201 determines the specific method of the target control operation for all first water samples based on the sample information corresponding to all first water samples and the current status of water sample processing collaborative resources, including:
[0131] For any first water sample, the water sample storage and retrieval device 201 determines the subsequent control operation corresponding to the first water sample based on the sample information corresponding to the first water sample and the current status of the water sample processing collaborative resources; the water sample processing collaborative resources include at least the water sample pretreatment resources corresponding to the water sample separation device, the first transport resources transported to the water sample storage and retrieval device, and the second transport resources transported to the water sample separation device.
[0132] The water sample storage and retrieval device 201 determines the target control operation for all first water samples based on the subsequent control operations corresponding to all first water samples.
[0133] As can be seen, this optional embodiment can also comprehensively integrate multi-dimensional information (sample information, the current status of water sample processing collaborative resources, and the subsequent control operations corresponding to each water sample) to determine the target control operations for all first water samples, which is conducive to improving the reliability and accuracy of the target control operations, and can also improve the matching degree between the target control operations and the actual water quality monitoring needs and the actual collaborative resource situation.
[0134] In another alternative embodiment, such as Figure 2 As shown, the system also includes a water sample information storage device 205, wherein:
[0135] The water sample information storage device 205 is used to acquire water sample-related information transmitted by water sample retrieval equipment, water sample storage equipment, water sample separation equipment, and water sample analysis equipment, and to associate and store the acquired water sample-related information.
[0136] As can be seen, this optional embodiment can also associate and store all relevant water sample information during the water sample monitoring process, which not only enables full-process backtracking of water sample monitoring, but also provides a reliable and accurate reference for water quality treatment strategies.
[0137] In another optional embodiment, the water sample storage and retrieval device 201 is further configured to: read the tray label corresponding to the target tray carrying the first water sample; and determine the tray type corresponding to the target tray based on the tray label; if the tray type indicates that the target tray is a sampling bottle tray, then perform the above-described operation of identifying the multiple first water samples to be processed based on its visual recognition sensor to obtain the visual recognition result.
[0138] In this optional embodiment, the water sample storage and retrieval device 201 is further configured to: after reading the sample information corresponding to each first water sample, determine the number of electronic tags of the sampling bottle read, and determine whether the number of electronic tags of the sampling bottle matches the total number of sampling bottles in the target tray. If they match, the above-mentioned target control operation is triggered based on the sample information corresponding to all first water samples and the current state of the water sample processing collaborative resources, and the target control operation is performed on all first water samples.
[0139] As can be seen, this optional embodiment can also determine the tray type based on the label, realizing automated tray identification and classification. The visual recognition operation of subsequent water samples is only triggered when the tray type is a sampling bottle tray, realizing precise triggering and on-demand execution of the operation process. In addition, it can count the number of electronic tags on the sampling bottles and match and verify them with the total number of sampling bottles in the target tray, forming a dual verification mechanism of "sample reading - quantity verification". This effectively avoids problems such as missed or incorrect scanning of water samples (such as not reading the electronic tag of a single water sample or reading an irrelevant electronic tag), ensuring that the sample information of all water samples to be processed is completely collected, laying a complete and accurate data foundation for subsequent target control operations and water quality analysis result traceability.
[0140] In another optional embodiment, the water sample separation device 203 performs pre-analytical processing on each second water sample to obtain the corresponding sub-water sample to be analyzed, including the following specific methods:
[0141] For a given second water sample, the water sample separation device controls the cap-opening device linked to it to perform a cap-opening operation matching the second water sample. After opening the cap, based on the source information of the second water sample, it is determined whether the second water sample needs to be stirred. If so, the linked stirring device is pre-treated. When the stirring device meets the stirring requirements, the stirring device is controlled to stir the second water sample. After stirring, when the linked liquid-taking device meets the liquid-taking requirements, the liquid-taking device is controlled to extract a portion of the water sample from the second water sample and store the collected portion of the water sample in a pre-determined separation container to obtain the sub-water sample to be analyzed corresponding to the second water sample.
[0142] Among them, the number of sub-water samples to be analyzed corresponding to the second water sample is greater than or equal to the number of water quality monitoring requirements for the second water sample.
[0143] As can be seen, this optional embodiment can also control the linked cap-opening device to perform an opening operation that matches the second water sample, solving the problem of poor compatibility of opening caps for different specifications and types of sampling bottles (such as screw caps, push caps, and sampling bottles of different diameters), and improving the accuracy and versatility of the cap-opening operation. In addition, it can reduce the risk of contamination from manual contact with water samples while improving cap-opening efficiency. Furthermore, it can reduce analytical errors caused by not stirring water samples that require stirring (such as industrial wastewater samples containing sediment or with uneven composition). Before stirring, the linked stirring device is pre-treated (e.g., cleaned, calibrated, and checked for status) to ensure that the stirring device meets the stirring requirements. This avoids water sample contamination or uneven stirring caused by residual contaminants in the stirring device or abnormal stirring parameters (e.g., speed or stirring time not meeting standards), further ensuring the homogeneity of water sample composition. In addition, the liquid sampling device is performed only after meeting the liquid sampling requirements. The status of the liquid sampling device is pre-verified to avoid contamination of the liquid sampling device or insufficient liquid sampling accuracy, resulting in contamination of the sub-water sample and deviation in liquid volume. This ensures that the extracted water sample can truly reflect the water quality status of the original second water sample. Furthermore, it can control the liquid extraction device to draw a portion of the water sample and store it in a pre-determined dispensing container, thus automating and standardizing the liquid extraction and dispensing process. This replaces the traditional manual extraction and dispensing method, avoiding problems such as water sample spillage, inaccurate liquid volume, and container contamination caused by operational errors during manual extraction. In addition, it can ensure the consistency between multiple sub-water samples of the same second water sample, avoiding analytical result deviations caused by differences in sub-water sample samples. Moreover, it can ensure that there are sufficient sub-water sample samples to complete the analysis of all preset monitoring indicators, avoiding problems such as monitoring interruption and missing monitoring indicators caused by insufficient factor water sample samples. At the same time, it reserves spare sub-water sample samples to facilitate subsequent review and traceability of abnormal results.
[0144] In another optional embodiment, the water sample storage device 202 is used to store water sample samples to be stored transported by the water sample storage and retrieval device, and to transport the water sample samples to be analyzed to the water sample separation device for water sample pretreatment for analysis.
[0145] The specific methods by which the water sample storage equipment 202 stores the water sample to be stored transported by the water sample retrieval equipment include:
[0146] When the water sample to be stored is transported by the water sample storage and retrieval equipment to the current identification area corresponding to the storage location, the water sample storage equipment calls the orientation identification sensor to identify the current placement orientation of the target pallet and obtain the orientation identification result. If the orientation identification result indicates that the target pallet currently meets the storage conditions corresponding to the water sample to be stored, then the robotic arm is called to take the water sample to be stored from the target pallet and store the water sample to be stored in the storage space corresponding to the storage location.
[0147] Furthermore, the specific methods by which the water sample storage equipment 202 transports the water sample to be analyzed to the water sample separation equipment for pretreatment before analysis include:
[0148] After storing the water sample to be stored in the storage space corresponding to the storage location, the water sample storage equipment determines whether the optimal retrieval conditions for one or more water samples to be analyzed are met based on the retrieval path information to be executed, the availability of the target pallet, and the current water sample analysis requirements. If the conditions are met, the one or more water samples to be analyzed that meet the optimal retrieval conditions are retrieved from the corresponding storage space and placed in the target available space corresponding to the target pallet.
[0149] When the target pallet contains water samples required for the current water sample analysis and the current conditions meet the conditions for transporting the water samples to be analyzed, the water sample storage equipment will transport the target pallet to the water sample separation equipment.
[0150] It is evident that this optional embodiment can also improve the control accuracy of water sample storage, and when storing water samples, it can also simultaneously remove the samples to be analyzed according to the actual situation, which is conducive to improving the utilization rate of tray resources, as well as improving the efficiency and accuracy of removing the water samples to be analyzed.
[0151] In another optional embodiment, the number of sub-water samples to be analyzed corresponding to the second water sample is specifically equal to the sum of the number of water quality monitoring requirements for the second water sample and the number of sample comparison requirements for the second water sample; the number of water quality monitoring requirements for the second water sample is determined based on all water quality requirement parameters in the water quality monitoring requirements for the second water sample, the water quality monitoring auxiliary reagent requirements for each water quality requirement parameter, and the mutual influence between water quality monitoring auxiliary reagents for different water quality requirement parameters.
[0152] It is evident that this optional embodiment can also improve the accuracy of the number of sub-water samples to be analyzed corresponding to the second water sample, so as to meet the water quality monitoring requirements and improve the efficiency and accuracy of water quality monitoring.
[0153] In another optional embodiment, the water sample analysis device 203 performs water quality analysis on each sub-sample to be analyzed, and the specific method for obtaining the water quality analysis result corresponding to each sub-sample to be analyzed includes:
[0154] For any sub-sample to be analyzed corresponding to any second water sample, when the sub-sample to be analyzed is transported to the corresponding current water quality monitoring position, the water sample analysis equipment reads the sample information and the water quality monitoring operations already performed for the sub-sample to be analyzed. Based on the water quality monitoring operations already performed, the water quality parameters to be monitored corresponding to the current water quality monitoring position, and the monitoring and analysis procedures corresponding to the water quality parameters to be monitored, the monitoring conditions of the sub-sample to be analyzed are verified. If the verification passes, the monitoring and analysis procedures corresponding to the water quality parameters to be monitored are executed. After the monitoring and analysis procedures corresponding to the water quality parameters to be monitored are completed, it is determined whether the monitoring and analysis operations corresponding to the sub-sample to be analyzed have been completed. If they have not been completed, the sub-sample to be analyzed is transported to the next water quality monitoring position.
[0155] As can be seen, this optional embodiment can also realize the linkage control between multiple water quality parameter monitoring processes, reduce the interference of the preceding water quality monitoring process on the subsequent water quality monitoring process, not only ensure the orderly implementation of water quality monitoring parameters, but also help improve the efficiency and accuracy of water quality monitoring.
[0156] In yet another alternative embodiment, such as Figure 2 As shown, the system also includes a water sample information decision-making device 206, wherein the water sample information decision-making device 206 is used for:
[0157] For any second water sample, the water sample information decision-making device analyzes the current water quality and changes of the water source to which the second water sample belongs, based on the sample information corresponding to the second water sample, the current water quality analysis results corresponding to the second water sample, and the historical water quality analysis results corresponding to the same source water sample of the second water sample. Based on the current water quality and changes of the water source to which the second water sample belongs, and in conjunction with the purpose of the water source to which the second water sample belongs, the device outputs the treatment strategy corresponding to the water source to which the second water sample belongs.
[0158] As can be seen, this optional embodiment can also integrate multi-dimensional parameters (current water quality monitoring status and historical water quality monitoring status), and further combine the purpose of the water source to which the water sample belongs to intelligently generate the corresponding water quality treatment strategy, which not only enriches the intelligent functions of the system, but also improves the reliability of the water quality treatment strategy.
[0159] Example 3
[0160] Please see Figure 3 , Figure 3 This is a schematic diagram of another unmanned automated water sample analysis system based on artificial intelligence disclosed in an embodiment of the present invention. Figure 3 As shown, the system may include:
[0161] Memory 301 storing executable program code;
[0162] Processor 302 coupled to memory 301;
[0163] The processor 302 calls the executable program code stored in the memory 301 to execute some or all of the steps in the AI-based automated water sample analysis method described in any of the embodiments.
[0164] Example 4
[0165] This invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the AI-based automated water sample analysis method described in any of the embodiments.
[0166] The foregoing has provided a detailed description of an automated unmanned water sample analysis system and method based on artificial intelligence, as well as a computer storage medium, disclosed in the embodiments of the present invention. Specific embodiments have been used to illustrate the principles and implementation methods of the present invention. However, the above preferred embodiments are not intended to limit the present invention. The descriptions of the above embodiments are merely for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, for those skilled in the art, based on the ideas of the present invention, changes may be made in the specific implementation methods and application scope without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention is determined by the scope defined in the claims.
Claims
1. An unmanned automated water sample analysis system based on artificial intelligence, characterized in that, The system includes water sample storage and retrieval equipment, water sample storage equipment, water sample separation equipment, and water sample analysis equipment, wherein: A water sample storage and retrieval device is used to read the tray label corresponding to the target tray carrying multiple first water sample samples to be processed; and determine the tray type corresponding to the target tray based on the tray label; if the tray type indicates that the target tray is a sampling bottle tray, then the multiple first water sample samples to be processed are identified based on its visual recognition sensor to obtain a visual recognition result; based on the visual recognition result, it is determined whether the current state of all first water sample samples meets the preset target water sample control conditions; if so, the sample information corresponding to each first water sample is read; wherein, the sample information corresponding to the first water sample includes at least the unique electronic tag corresponding to the first water sample and the water source information corresponding to the first water sample; The water sample storage and retrieval device is further configured to, after reading the sample information corresponding to each of the first water samples, determine the number of electronic tags on the sampling bottles read, and determine whether the number of electronic tags on the sampling bottles matches the total number of sampling bottles in the target tray. If they match, then based on the sample information corresponding to all the first water samples and the current status of the water sample processing collaborative resources, determine the target control operation for all the first water samples, and execute the target control operation on all the first water samples. The target control operation includes: a first control operation of transporting the water sample to the water sample storage device for water sample storage, and / or a second control operation of transporting the water sample to the water sample separation device for water sample pretreatment for analysis. The water sample separation device, after detecting multiple second water sample samples to be processed, controls a cap-opening device linked to it to perform a cap-opening operation matching the second water sample sample for a certain second water sample sample. After opening the cap, it determines whether the second water sample sample needs to be stirred based on the source information of the second water sample sample. If so, it pre-processes the linked stirring device. When the stirring device meets the stirring requirements, it controls the stirring device to stir the second water sample sample. After stirring, when the linked liquid-taking device meets the liquid-taking requirements, it controls the liquid-taking device to extract a portion of the water sample from the second water sample sample and stores the collected portion of the water sample in a predetermined separation container to obtain the sub-water sample sample to be analyzed corresponding to the second water sample sample, and then transports it to the water sample analysis device. All second water sample samples include water sample samples directly transported to the water sample separation device by the water sample storage and / or water sample samples taken from the water sample storage device. The number of sub-water sample samples to be analyzed corresponding to the second water sample sample is greater than or equal to the number of water quality monitoring requirements for the second water sample sample. The water sample analysis equipment is used to perform water quality analysis on each of the sub-water samples to be analyzed, and to obtain the water quality analysis result corresponding to each sub-water sample to be analyzed; and, for each second water sample, based on the water quality analysis results corresponding to all the sub-water samples to be analyzed, to comprehensively determine the water quality monitoring result of the water source to which the second water sample belongs.
2. The unmanned automated water sample analysis system based on artificial intelligence according to claim 1, characterized in that, The water sample storage and retrieval device determines the specific methods for target control operations on all the first water sample samples based on the sample information corresponding to all the first water sample samples and the current status of the water sample processing collaborative resources, including: For any of the first water sample samples, the water sample storage and retrieval device determines the subsequent control operation corresponding to the first water sample sample based on the sample information corresponding to the first water sample sample and the current status of the water sample processing collaborative resources; the water sample processing collaborative resources include at least the water sample pretreatment resources corresponding to the water sample separation device, the first transport resources transported to the water sample storage and retrieval device, and the second transport resources transported to the water sample separation device. The water sample storage and retrieval device determines the target control operation for all the first water sample samples based on the subsequent control operations corresponding to all the first water sample samples. The system also includes a water sample information storage device, wherein: The water sample information storage device is used to acquire water sample-related information transmitted by the water sample retrieval device, the water sample storage device, the water sample separation device, and the water sample analysis device, and to associate and store the acquired water sample-related information.
3. The unmanned automated water sample analysis system based on artificial intelligence according to claim 1, characterized in that, The water sample storage equipment is used to store the water sample to be stored transported by the water sample storage and retrieval equipment, and to transport the water sample to be analyzed to the water sample separation equipment for water sample pretreatment for analysis. The specific method by which the water sample storage equipment stores the water sample to be stored transported by the water sample retrieval equipment includes: When the water sample to be stored is transported by the water sample storage and retrieval equipment to the current identification area corresponding to the storage location, the water sample storage equipment calls the orientation identification sensor to identify the current placement orientation of the target tray and obtains the orientation identification result. If the orientation identification result indicates that the target tray currently meets the storage conditions corresponding to the water sample to be stored, then the robotic arm is called to take the water sample to be stored from the target tray and store the water sample to be stored in the storage space corresponding to the storage location. Furthermore, the specific method by which the water sample storage equipment transports the water sample to be analyzed to the water sample separation equipment for pretreatment before analysis includes: After storing the water sample to be stored in the storage space corresponding to the storage location, the water sample storage equipment determines whether the optimal retrieval conditions for one or more water samples to be analyzed are met based on the retrieval path information to be executed, the availability of the target pallet, and the current water sample analysis requirements. If the optimal retrieval conditions are met, the one or more water samples to be analyzed that meet the optimal retrieval conditions are retrieved from the corresponding storage space and placed in the target available space corresponding to the target pallet. When the water sample to be analyzed placed on the target pallet includes the water sample required for the current water sample analysis and the current conditions meet the conditions for transporting the water sample to be analyzed, the water sample storage equipment will transport the target pallet to the water sample dispensing equipment.
4. The unmanned automated water sample analysis system based on artificial intelligence according to claim 3, characterized in that, The number of sub-water samples to be analyzed corresponding to the second water sample is specifically equal to the sum of the number of water quality monitoring requirements for the second water sample and the number of sample comparison requirements for the second water sample; the number of water quality monitoring requirements for the second water sample is determined based on all water quality requirement parameters in the water quality monitoring requirements for the second water sample, the water quality monitoring auxiliary reagent requirements for each of the water quality requirement parameters, and the mutual influence between water quality monitoring auxiliary reagents for different water quality requirement parameters; The specific method by which the water sample analysis equipment performs water quality analysis on each of the sub-samples to be analyzed, and obtains the water quality analysis results corresponding to each sub-sample, includes: For any sub-sample to be analyzed corresponding to any second water sample, when the sub-sample to be analyzed is transported to the corresponding current water quality monitoring position, the water sample analysis device reads the sample information and the water quality monitoring operations already performed for the sub-sample to be analyzed. Based on the water quality monitoring operations already performed, the water quality parameters to be monitored corresponding to the current water quality monitoring position, and the monitoring and analysis process corresponding to the water quality parameters to be monitored, the device performs a monitoring condition verification on the sub-sample to be analyzed. If the verification passes, the monitoring and analysis process corresponding to the water quality parameters to be monitored is executed. After the monitoring and analysis process corresponding to the water quality parameters to be monitored is completed, it is determined whether the monitoring and analysis operation corresponding to the sub-sample to be analyzed has been completed. If it has not been completed, the sub-sample to be analyzed is transported to the next water quality monitoring position.
5. The unmanned automated water sample analysis system based on artificial intelligence according to claim 4, characterized in that, The system further includes a water sample information decision-making device, wherein the water sample information decision-making device is used for: For any second water sample, the water sample information decision-making device analyzes the current water quality and water quality changes of the water source to which the second water sample belongs, based on the sample information corresponding to the second water sample, the current water quality analysis results corresponding to the second water sample, and the historical water quality analysis results corresponding to the same source water sample of the second water sample. Based on the current water quality and water quality changes of the water source to which the second water sample belongs, and in conjunction with the purpose of the water source to which the second water sample belongs, the device outputs the treatment strategy corresponding to the water source to which the second water sample belongs.
6. An automated water sample analysis method based on artificial intelligence, characterized in that, The method is applied to an unmanned automated water sample analysis system, which includes water sample storage and retrieval equipment, water sample storage equipment, water sample separation equipment, and water sample analysis equipment; wherein, the method includes: The water sample storage and retrieval device reads the tray label corresponding to the target tray carrying multiple first water sample samples to be processed; and determines the tray type corresponding to the target tray based on the tray label; if the tray type indicates that the target tray is a sampling bottle tray, then the device identifies the multiple first water sample samples to be processed based on its visual recognition sensor to obtain a visual recognition result; based on the visual recognition result, it determines whether the current state of all first water sample samples meets the preset target water sample control conditions; if so, it reads the sample information corresponding to each first water sample sample; wherein, the sample information corresponding to the first water sample sample includes at least the unique electronic tag corresponding to the first water sample sample and the water source information corresponding to the first water sample sample; After reading the sample information corresponding to each of the first water samples, the water sample storage and retrieval device determines the number of electronic tags on the sampling bottles and judges whether the number of electronic tags on the sampling bottles matches the total number of sampling bottles in the target tray. If they match, the device determines the target control operation for all the first water samples based on the sample information corresponding to all the first water samples and the current status of the water sample processing collaborative resources, and performs the target control operation on all the first water samples. The target control operation includes: a first control operation of transporting the water sample to the water sample storage device for water sample storage, and / or a second control operation of transporting the water sample to the water sample separation device for water sample pretreatment for analysis. After detecting multiple second water samples to be processed, the water sample separation device controls the linked cap-opening device to perform a cap-opening operation matching the second water sample for a certain second water sample. After opening the cap, it determines whether the second water sample needs to be stirred based on the source information of the second water sample. If so, it pre-processes the linked stirring device. When the stirring device meets the stirring requirements, it controls the stirring device to stir the second water sample. After stirring, when the linked liquid-taking device meets the liquid-taking requirements, it controls the liquid-taking device to extract a portion of the water sample from the second water sample and stores the collected portion of the water sample in a pre-determined separation container to obtain the sub-water sample to be analyzed corresponding to the second water sample, and then transports it to the water sample analysis device. Herein, all the second water samples include water samples directly transported to the water sample separation device by the water sample storage and retrieval device and / or water samples taken from the water sample storage device. The water sample analysis device performs water quality analysis on each of the sub-water samples to be analyzed, and obtains the water quality analysis result corresponding to each sub-water sample to be analyzed; and, for each second water sample, based on the water quality analysis results corresponding to all the sub-water samples to be analyzed, comprehensively determines the water quality monitoring result of the water source to which the second water sample belongs.
7. An unmanned automated water sample analysis system based on artificial intelligence, characterized in that, The system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the artificial intelligence-based automated water sample analysis method as described in claim 6.
8. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the artificial intelligence-based automated water sample analysis method as described in claim 6.