Natural mineral water mineral substance increasing detection system

Abstract

The invention relates to the technical field of power system operation and maintenance, and discloses a natural mineral water mineral substance lifting detection system and system. The system comprises a water sample collection module, a water quality analysis and mineral substance component detection module, a mineral substance lifting treatment module, a mineral substance evaluation module, a mineral substance adjustment module and a feedback module. Through real-time water sample analysis and intelligent lifting treatment, the system can accurately control the mineral substance lifting amount, and it is ensured that the mineral substance concentration in a water sample reaches a target value. Through data classification and a feedback mechanism, the system can flexibly adjust a mineral substance lifting scheme according to the actual condition of a water sample, and optimization of various conditions, such as batch lifting and safety management lifting, is realized. Through real-time monitoring and optimization adjustment after mineral substances are improved, the system can keep the water quality stable for a long time, and the situation that the mineral substances are excessive or the water quality does not reach the standard is avoided. The system can automatically complete operations such as water sample analysis, mineral substance lifting and data evaluation, manual intervention is reduced, and the processing efficiency and precision are improved.

Description

Technical Field

[0001] The invention relates to the technical field of natural mineral water mineral enhancement detection, and in particular to a natural mineral water mineral enhancement detection system. Background Art

[0002] With the shortage of water resources and the increasing concern about water quality, the quality monitoring and improvement of natural mineral water has become an important issue. The mineral content of natural mineral water directly affects the taste, health value and use effect of water. In order to ensure that the mineral content of natural mineral water meets the predetermined standards, it is necessary to design an accurate, efficient and flexible mineral improvement detection system.

[0003] At present, the mineral enhancement technology of natural mineral water mainly relies on traditional water quality analysis and mineral treatment methods. However, the traditional methods have problems such as cumbersome processing process, the amount of mineral enhancement cannot be accurately controlled, and the enhancement results are unstable. Therefore, there is an urgent need for an intelligent and automated mineral enhancement detection system that can provide real-time feedback, adjust the enhancement amount, and optimize water quality parameters according to the actual situation of the water sample and the target concentration, so as to achieve more accurate and effective mineral enhancement. Summary of the invention

[0004] In view of the above problems existing in the prior art, the present invention is proposed.

[0005] Therefore, the present invention provides a natural mineral water mineral enhancement detection system and system, which can solve the problems of data isolation, duplication and omission among various platforms of traditional secondary systems; it is difficult to take into account both the security of the production control area and the advanced application development of the information management area; the secondary information collection is not comprehensive enough, and the data mining application is not in-depth enough; and the existing secondary platform is difficult to adapt to the professional needs of various professionals.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a natural mineral water mineral enhancement detection system, comprising: a water sample collection module, a water quality analysis and mineral component detection module, a mineral enhancement processing module, a mineral evaluation module, a mineral adjustment module, and a feedback module; The basic data is collected through the water sample collection module and transmitted to the water quality analysis and mineral composition detection module to obtain an evaluation result; The mineral enhancement processing module performs enhancement processing results based on the primary evaluation results; The mineral evaluation module classifies the data according to the improvement processing results, and transmits the data classification results to the mineral adjustment module to adjust the mineral composition of the natural mineral water; The feedback module tracks the mineral content of the water after treatment and adjusts the optimization parameters based on the feedback results.

[0007] As a preferred solution of the natural mineral water mineral enhancement detection system described in the present invention, the basic data includes mineral composition data and water quality characteristic data.

[0008] As a preferred solution of the natural mineral water mineral enhancement detection system described in the present invention, the water quality analysis and mineral component detection module calculates and evaluates the comprehensive score of whether the water sample reaches the target concentration by constructing a mathematical model, and outputs an evaluation result based on the calculated comprehensive score result.

[0009] As a preferred solution of the natural mineral water mineral enhancement detection system described in the present invention, wherein: the one-time evaluation result includes, if the comprehensive score of evaluating whether the water sample reaches the target concentration is greater than or equal to the standard threshold, the water sample collection module divides the data into data A1 according to the comprehensive score; If the comprehensive score for evaluating whether the water sample reaches the target concentration is less than the standard threshold, the water sample collection module divides the data into data A2 according to the comprehensive score; When the data is divided into A1 and A2, the water sample collection module re-collects water samples and conducts a secondary data evaluation. If the secondary data evaluation confirms that the first evaluation result is correct, the A2 data is sent to the mineral enhancement processing module. If the secondary data evaluation confirms that the first evaluation result is misjudged, a secondary data evaluation is performed and the data results are fed back to the feedback module to notify the staff to make a judgment on the secondary data and send the A2 data after the secondary evaluation to the mineral enhancement processing module.

[0010] As a preferred solution of the natural mineral water mineral enhancement detection system described in the present invention, the mineral enhancement processing module includes obtaining the target concentration and current concentration of each mineral according to the evaluation result, and calculating the difference, which is expressed as: , in, Expressed as the difference between the target concentration and the actual concentration, Expressed as the target concentration of the mineral, It is expressed as the current concentration; The total amount of minerals that need to be increased is calculated by multiplying the difference by the volume of the water sample, expressed as: , in, Expressed as the required lift, Expressed as water sample volume.

[0011] As a preferred solution of the natural mineral water mineral enhancement detection system described in the present invention, the mineral evaluation module, if When the mineral enhancement processing module divides the data into data B1, if When the mineral enhancement processing module divides the data into data B2, if When, the mineral enhancement processing module divides the data into data B3; in, Expressed as a safety threshold for the required lift.

[0012] As a preferred solution of the natural mineral water mineral enhancement detection system of the present invention, wherein: the mineral adjustment module includes, when the data is classified as data B2, performing mineral enhancement according to the calculated required enhancement amount, and sending it to the feedback module for final evaluation; When the data is classified as B1, the mineral adjustment module performs safety management addition and prompts manual real-time monitoring during the mineral addition process, and sends the improved data to the feedback module for final evaluation; When the data is classified as B3, the mineral adjustment module performs batch addition and sends the data after batch conditions to the feedback module for final evaluation; The batch addition is expressed as: , in, Expressed as the number of batches, Expressed as the amount of mineral boost required per batch.

[0013] As a preferred solution of the natural mineral water mineral enhancement detection system described in the present invention, when the enhanced data is received, if the data meets the standards, the evaluation result is output as successful enhancement; if the data does not meet the standards, a second enhancement is performed; if the data meets the standards, the evaluation result is that the data does not meet the standards, and manual verification is performed; if the data meets the standards, the evaluation result is that the data meets the standards, and the output evaluation result is that the data meets the standards after the second enhancement.

[0014] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of any one of the methods described in a natural mineral water mineral enhancement detection system when executing the computer program.

[0015] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of any one of the methods described in a natural mineral water mineral enhancement detection system are implemented.

[0016] The beneficial effects of the present invention are as follows: First, through real-time water sample analysis and intelligent enhancement processing, the system can accurately control the amount of mineral enhancement to ensure that the mineral concentration in the water sample reaches the target value.

[0017] Secondly, through data classification and feedback mechanism, the system can flexibly adjust the mineral enhancement plan according to the actual situation of the water sample, and achieve optimization in various situations, such as batch enhancement and safety management improvement.

[0018] Third, through real-time monitoring and optimization adjustment after mineral enhancement, the system can maintain long-term stability of water quality and avoid excessive minerals or substandard water quality.

[0019] Fourthly, the system can automatically complete operations such as water sample analysis, mineral enhancement, and data evaluation, reducing human intervention and improving processing efficiency and accuracy.

[0020] Fifth, the system uses safety thresholds and batch enhancement strategies to ensure that no water quality problems, such as mineral precipitation or solubility problems, occur during the mineral enhancement process. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them: Figure 1 A schematic diagram of a natural mineral water mineral enhancement detection process provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0025] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0026] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0027] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0028] Example 1 Reference Figure 1 , which is the first embodiment of the present invention, and which provides a natural mineral water mineral enhancement detection system and system, including: a water sample collection module, a water quality analysis and mineral component detection module, a mineral enhancement processing module, a mineral evaluation module, a mineral adjustment module, and a feedback module; S1. Collect basic data through the water sample collection module, and transmit the basic data to the water quality analysis and mineral composition detection module to obtain an evaluation result.

[0029] It should be noted that, in the present embodiment application, the basic data includes mineral composition data and water quality characteristic data.

[0030] It should be noted that the mineral composition data include the concentrations of minerals such as calcium, magnesium, sodium, potassium, iron, chlorine, sulfate, fluorine, and ammonia nitrogen; The water quality characteristic data include pH value, hardness, total dissolved solids (TDS), oxidation-reduction potential (ORP), dissolved oxygen (DO), total nitrogen (TN), turbidity (NTU), etc.

[0031] S2, the mineral enhancement processing module performs enhancement processing results according to the primary evaluation results; It should be noted that the water quality analysis and mineral composition detection module calculates a comprehensive score to evaluate whether the water sample reaches the target concentration by constructing a mathematical model, and outputs an evaluation result based on the calculated comprehensive score result.

[0032] It should be noted that in the embodiment of the present application, the weighted average method is used to construct the mathematical model. The weighted average method is to assign different weights to each water quality indicator and calculate a weighted average value to comprehensively evaluate whether the water sample meets the target concentration. Each water quality factor (such as mineral concentration, pH value, hardness, etc.) will be assigned a weight according to its impact on water quality, expressed as:

[0033] in, , , …, It is expressed as the weight of water quality factors; , , …, It is expressed as the measured value of each water quality factor, n represents the number of samples, Expressed as a comprehensive score to assess whether the water sample reaches the target concentration.

[0034] It should be noted that in an optional embodiment, when it is necessary to deal with complex water quality assessment problems, an artificial neural network (ANN) can be used to construct a mathematical model. An artificial neural network is a computational model that imitates biological neural networks and handles complex nonlinear problems through the connection of multiple layers of neurons. In water quality assessment, neural networks can be used to predict whether a water sample reaches a target concentration based on input parameters such as mineral concentration, pH value, and hardness, which is expressed as: Construct a neural network model and select an appropriate input layer, hidden layer, and output layer structure. Train the neural network model with a large amount of data. Use the trained neural network model to evaluate the water sample.

[0035] The mineral enhancement processing module includes obtaining the target concentration and current concentration of each mineral according to the evaluation results, and calculating the difference, which is expressed as:

[0036] in, Expressed as the difference between the target concentration and the actual concentration, Expressed as the target concentration of the mineral, Expressed as the current concentration, the formula calculates the difference between the current mineral concentration of the water sample and the target concentration, indicating the amount of mineral increase in the water sample in order to reach the target concentration; The total amount of minerals that need to be increased is calculated by multiplying the difference by the volume of the water sample, expressed as: , in, Expressed as the required lift, Expressed as water sample volume.

[0037] This mathematical model determines the total amount of minerals required to be increased by calculating the difference in mineral concentration and the volume of the water sample. It is not only simple and easy to use, but also can flexibly adapt to different water sample volumes to ensure the accuracy of mineral enhancement. Closely integrated with the mineral enhancement detection system process, it ensures that the system can achieve automatic and accurate mineral enhancement to meet the expected water quality standards while reducing manual intervention and misoperation.

[0038] The one-time evaluation result includes that if the comprehensive score of evaluating whether the water sample reaches the target concentration is greater than or equal to the standard threshold, the water sample collection module divides the data into data A1 according to the comprehensive score; If the comprehensive score for evaluating whether the water sample reaches the target concentration is less than the standard threshold, the water sample collection module divides the data into data A2 according to the comprehensive score; When the data is divided into A1 and A2, the water sample collection module re-collects water samples and conducts a secondary data evaluation. If the secondary data evaluation confirms that the first evaluation result is correct, the A2 data is sent to the mineral enhancement processing module. If the secondary data evaluation confirms that the first evaluation result is misjudged, a secondary data evaluation is performed and the data results are fed back to the feedback module to notify the staff to make a judgment on the secondary data and send the A2 data after the secondary evaluation to the mineral enhancement processing module.

[0039] Regardless of whether the data is classified as A1 or A2, the water sample collection module will conduct a secondary data evaluation at data A1 and A2 to confirm whether the initial evaluation is accurate. Secondary data collection: The water sample collection module will re-collect samples to further verify the original data. Secondary data sampling may be for water samples in the same time period, different batches or different locations to ensure the representativeness of the water samples. Secondary evaluation process: After the secondary data collection, the water quality analysis and mineral composition detection module evaluates the newly collected data. By recalculating the comprehensive score, it will be judged again whether the water sample meets the standard. Secondary evaluation result: If the secondary evaluation result confirms that the primary evaluation is correct, that is, the comprehensive score and data division are confirmed to be accurate, then continue to perform the subsequent mineral enhancement steps. If the data is A2, the data A2 will be sent to the mineral enhancement processing module for mineral enhancement processing. If the secondary evaluation result confirms that there is a misjudgment in the primary evaluation, that is, there is an error in the initial evaluation, the feedback module will receive the secondary evaluation data and make manual intervention judgments based on the feedback. Manual judgment: The feedback module will notify the staff to make manual judgments on the secondary data to see if the mineral enhancement plan needs to be readjusted.

[0040] It should be noted that in the embodiments of the present application, a comprehensive score is used to evaluate whether the water sample has reached the target concentration, and then the data is divided into A1 and A2, and the accuracy of the evaluation result is confirmed through a secondary data evaluation mechanism.

[0041] Furthermore, the present invention effectively improves the accuracy, flexibility and reliability of the mineral enhancement detection system by dividing the design data into A1 and A2 and verifying the accuracy of the evaluation results through a secondary data evaluation mechanism. It not only ensures the stability and safety of the water quality improvement process, but also improves the automation and operating efficiency of the system. It can effectively reduce manual intervention, avoid unnecessary excessive mineral enhancement, and ensure that the water quality always meets the standards.

[0042] S3, the mineral evaluation module classifies the data according to the improvement processing result, and transmits the data classification result to the mineral adjustment module to adjust the mineral composition of the natural mineral water; The mineral assessment module, if When the mineral enhancement processing module divides the data into data B1, if When the mineral enhancement processing module divides the data into data B2, the required enhancement amount is within a reasonable range and the enhancement amount is relatively balanced. The mineral enhancement processing module can enhance the required amount at one time and then send it to the feedback module for final evaluation. This situation usually occurs under the needs of routine water quality adjustment, the mineral enhancement amount is moderate, and there is no obvious risk. If When, the mineral enhancement processing module divides the data into data B3; in, It is expressed as the safety threshold of the required lifting amount. The safety threshold is a key parameter in the design of this system. It is used to control the maximum range of mineral lifting to avoid excessive or insufficient mineral lifting, which will affect the water quality.

[0043] Too much mineral boost may cause the mineral concentration of the water sample to exceed the target range, thus affecting the stability of the water quality. The safety threshold ensures the rationality of the amount of mineral addition and the safety of the water quality by limiting the maximum amount of each boost. The safety threshold can ensure that the mineral boost is not excessive and avoid the concentration of certain minerals in the water quality being too high. Setting the threshold helps the system to accurately increase the mineral concentration without exceeding the standard, so that the water sample reaches the predetermined target concentration. The safety threshold limits the maximum amount of mineral boost, thereby improving the control accuracy of the system. The system can evaluate the state of the water sample in real time during the boost process to ensure that the water quality meets the standard after each boost, reducing the risk of unnecessary over-boosting or under-boosting. According to the water quality characteristics of different water samples, the safety threshold provides a flexible control mechanism for the mineral boost process. Whether it is data B1, B2 or B3, the most appropriate boost method can be automatically selected according to the set threshold to ensure that the water quality meets the standard while improving resource utilization efficiency.

[0044] The mineral adjustment module includes, when the data is classified as data B2, performing mineral enhancement according to the calculated required enhancement amount and sending it to the feedback module for final evaluation; When the data is classified as B1, the mineral adjustment module performs safety management addition, and prompts manual real-time monitoring during the mineral addition process, and sends the improved data to the feedback module for final evaluation. When the mineral increase exceeds the predetermined safety threshold, a one-time increase may lead to excessive addition of minerals, resulting in excessive or unstable water quality concentration. The system needs to perform safety management addition, that is, by gradually adding and monitoring the improvement process in real time, to avoid water quality problems caused by excessive improvement. Due to the large amount of mineral increase, the system automation process needs to cooperate with manual real-time monitoring to ensure that each stage of mineral improvement can be carried out within a safe range. If the water quality fluctuates or the mineral concentration exceeds the standard, the system can intervene through a manual verification mechanism to ensure the safety of mineral addition. Large-scale mineral enhancement may cause drastic fluctuations in water quality and affect the stability of water quality. Through safety management addition, the extent of mineral addition can be better controlled, so that the water quality gradually stabilizes.

[0045] When the data is classified as B3, the mineral adjustment module performs batch addition and sends the data after batch conditions to the feedback module for final evaluation. When the mineral increase is exactly equal to the safety threshold, batch addition can ensure the accuracy of the increase operation. After each increase, the system can evaluate the changes in water samples in real time to ensure stable water quality. Although the mineral increase is equal to the safety threshold, a one-time large-scale increase may still lead to unstable water quality. Batch addition can better monitor the effect of each batch addition, ensure that the improvement process is carried out step by step, and reduce the negative impact on water quality. The batch addition method helps to gradually optimize the amount of mineral increase based on the data feedback of each batch. If the effect of a batch increase does not meet expectations, the system can immediately adjust the next increase.

[0046] The batch addition is expressed as: , in, Expressed as the number of batches, Expressed as the amount of mineral boost required per batch.

[0047] By dividing the water sample data into B1, B2, and B3, and taking corresponding mineral enhancement plans according to the relationship between the required enhancement amount and the safety threshold, the system can accurately control the mineral concentration in the water quality and ensure that the water quality is within the target range. The design of batch addition and safety management addition makes the system more flexible and accurate, and can cope with the mineral enhancement needs under different water quality conditions. The setting of the safety threshold further ensures the safety and effectiveness of each enhancement operation, avoids the negative impact of excessive mineral enhancement, and enhances the intelligence and stability of the system. It not only improves the accuracy of water quality control, but also ensures the controllability of mineral enhancement operations. It is widely used in water quality management in drinking water and mineral water production.

[0048] S4, the feedback module tracks the mineral content of the water after treatment and adjusts the optimization parameters according to the feedback results.

[0049] It should be noted that the feedback module includes, when receiving the enhanced data, the mineral enhancement processing module performs mineral addition or adjustment operations according to the preliminary evaluation results. After adding minerals, the water sample data after mineral enhancement (such as mineral concentration, pH value, hardness, etc.) is sent to the feedback module through data transmission.

[0050] After receiving the data, the feedback module first conducts a preliminary assessment of the water sample. The main content of the assessment is to check whether the mineral concentration in the water sample has reached the standard, that is, to assess whether the comprehensive score meets the target concentration standard. The comprehensive score includes water quality characteristics such as mineral concentration, pH value, and hardness.

[0051] The feedback module first calculates the comprehensive score of the water sample to evaluate whether the target concentration has been reached. If the value is greater than or equal to the set standard threshold, it means that the water sample has reached the standard. The feedback module outputs "improvement successful" and ends the current evaluation process.

[0052] Not reached: If the overall score If the value is less than the threshold value, it means that the water sample does not meet the standard. The feedback module outputs "data does not meet the standard" and enters the secondary improvement process.

[0053] If the evaluation results show that the water sample does not meet the standard, the feedback module will start the secondary improvement process. This means that the mineral improvement processing module needs to recalculate the amount of mineral improvement based on the new evaluation results and add minerals again. During the secondary improvement process, the feedback module will re-sample and analyze the data of the water sample after the secondary treatment. By recalculating the comprehensive score, it is confirmed whether it is close to the target concentration. If the mineral concentration of the water sample after the secondary improvement has reached the target concentration, the feedback module outputs the evaluation result as "the data meets the standard after the secondary improvement". If the data after the secondary improvement still does not meet the standard, the feedback module will issue a prompt of "the data does not meet the standard" again, and the system will adjust the mineral improvement plan based on the feedback.

[0054] If the data still does not reach the predetermined target concentration after two mineral enhancements (i.e., it does not reach the target after two enhancements), the feedback module will automatically trigger the manual verification mechanism. The feedback module will notify the staff to manually verify the mineral enhancement plan to assess whether there are any problems such as misoperation, equipment failure or sampling error.

[0055] The staff will check all the data during the mineral upgrading process, including the source of the water sample, upgrading parameters, equipment operation status, etc., to determine whether there are systematic errors. After the staff's verification, the feedback module will receive the manually adjusted data. If the manually confirmed data still does not meet the standards, it may be necessary to adjust the upgrading plan again or use other technical means (such as replacing minerals or optimizing upgrading steps).

[0056] If the manual verification result shows that the water quality meets the standard, the feedback module will be updated to "data meets the standard" and the evaluation process ends. If the data still does not meet the standard, the feedback module will notify the mineral enhancement treatment module for further optimization until the water sample meets the standard.

[0057] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0058] Example 2 The second embodiment of the present invention is different from the first two embodiments in that: If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0059] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0060] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0061] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

Claims

1. A natural mineral water mineral enhancement detection system, comprising a water sample collection module, a water quality analysis and mineral component detection module, a mineral enhancement processing module, a mineral evaluation module, a mineral adjustment module, and a feedback module, characterized in that: include, Collect basic data through the water sample collection module and transmit the basic data to the water quality analysis and mineral composition detection module for result evaluation; The mineral enhancement processing module calculates the required enhancement amount based on the evaluation results; The mineral evaluation module classifies the data according to the required improvement amount, and transmits the data classification results to the mineral adjustment module to adjust the mineral composition of the natural mineral water; The feedback module tracks the mineral content of the water after treatment and adjusts the optimization parameters based on the feedback results.

2. A natural mineral water mineral enhancement detection system as claimed in claim 1, characterized in that: The basic data include mineral composition data and water quality characteristic data.

3. A natural mineral water mineral enhancement detection system as claimed in claim 2, characterized in that: The water quality analysis and mineral component detection module calculates and evaluates the comprehensive score of whether the water sample reaches the target concentration by constructing a mathematical model, and outputs an evaluation result based on the calculated comprehensive score result.

4. A natural mineral water mineral enhancement detection system as claimed in claim 3, characterized in that: The one-time evaluation result includes that if the comprehensive score of evaluating whether the water sample reaches the target concentration is greater than or equal to the standard threshold, the water sample collection module divides the data into data A1 according to the comprehensive score; If the comprehensive score for evaluating whether the water sample reaches the target concentration is less than the standard threshold, the water sample collection module divides the data into data A2 according to the comprehensive score; When the data is divided into A1 and A2, the water sample collection module re-collects water samples and conducts a secondary data evaluation. If the secondary data evaluation confirms that the first evaluation result is correct, the A2 data is sent to the mineral enhancement processing module. If the secondary data evaluation confirms that the first evaluation result is misjudged, a secondary data evaluation is performed and the data results are fed back to the feedback module to notify the staff to make a judgment on the secondary data and send the A2 data after the secondary evaluation to the mineral enhancement processing module.

5. A natural mineral water mineral enhancement detection system as claimed in claim 4, characterized in that: The mineral enhancement processing module includes obtaining the target concentration and current concentration of each mineral according to the evaluation results, and calculating the difference, which is expressed as: ， in, Expressed as the difference between the target concentration and the actual concentration, Expressed as the target concentration of the mineral, It is expressed as the current concentration; The total amount of minerals that need to be increased is calculated by multiplying the difference by the volume of the water sample, expressed as: ， in, Expressed as the required lift, Expressed as water sample volume.

6. A natural mineral water mineral enhancement detection system as claimed in claim 5, characterized in that: The mineral assessment module, if When the mineral enhancement processing module divides the data into data B1, if When the mineral enhancement processing module divides the data into data B2, if When, the mineral enhancement processing module divides the data into data B3; in, Expressed as a safety threshold for the required lift.

7. A natural mineral water mineral enhancement detection system as claimed in claim 6, characterized in that: The mineral adjustment module includes, when the data is classified as data B2, performing mineral enhancement according to the calculated required enhancement amount and sending it to the feedback module for final evaluation; When the data is classified as B1, the mineral adjustment module performs safety management addition and prompts manual real-time monitoring during the mineral addition process, and sends the improved data to the feedback module for final evaluation; When the data is classified as B3, the mineral adjustment module performs batch addition and sends the data after batch conditions to the feedback module for final evaluation; The batch addition is expressed as: ， in, Expressed as the number of batches, Expressed as the amount of mineral boost required per batch.

8. A natural mineral water mineral enhancement detection system as claimed in claim 7, characterized in that: The feedback module includes, when receiving the improved data, if the data meets the standards, the evaluation result is output as successful improvement; if the data does not meet the standards, a second improvement is performed; if it meets the standards, the evaluation result is that the data does not meet the standards, and manual verification is performed; if the data meets the standards, the evaluation result is that the data meets the standards, and the evaluation result is output as the data meets the standards after the second improvement.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the system according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the system according to any one of claims 1 to 8 are implemented.

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