Water quality multi-parameter detector and detection method

Abstract

The invention provides a water quality multi-parameter detector and a detection method. The method comprises the following steps: monitoring water sample parameter data, constructing a water quality state model, and obtaining each parameter measurement value in a water sample detection process; establishing a state monitoring comparison model according to the water quality standard model and the monitoring historical data of the previous water quality normal detection state, and determining each parameter expected value in the water sample detection process; setting a water quality parameter threshold value, comparing each parameter measurement value with each parameter expected value in a water sample detection process, and judging whether the water sample is in an abnormal state in a normal detection process and judging an abnormal state generation parameter; the water quality state can be effectively monitored, and water quality data can be accurately acquired and processed.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality detection, and more specifically, to a water quality multi-parameter detector and a detection method. Background Art

[0002] With the increasing emphasis on water resource protection and management, water quality testing has become a key link. Water quality testing involves multiple parameters, including temperature, pH, and conductivity, which are crucial for assessing water quality. Traditional water quality testing methods often rely on laboratory analysis, which is cumbersome and time-consuming, and cannot meet the needs of real-time monitoring. At the same time, some existing testing equipment may lack accuracy and comprehensiveness in parameter acquisition, making it impossible to conduct a comprehensive assessment of water quality.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the detection process is cumbersome and time-consuming, and it is difficult to monitor the water quality in real time; the parameters of some detection equipment are not accurately and comprehensively acquired, and the water quality status cannot be comprehensively evaluated. Summary of the invention

[0004] The invention provides a water quality multi-parameter detector and a detection method.

[0005] In a first aspect of the present invention, a method for multi-parameter detection of water quality is provided, comprising:

[0006] Monitor water sample parameter data, build a water quality status model, and obtain the measured values ​​of each parameter during the water sample detection process;

[0007] Based on the water quality standard model and the historical monitoring data of the normal water quality detection status in the past, a state monitoring comparison model is established to determine the expected values ​​of various parameters in the water sample detection process;

[0008] Set water quality parameter thresholds, compare the measured values ​​of each parameter with the expected values ​​of each parameter during water sample testing, and determine whether the water sample is in an abnormal state during normal testing and the parameters that cause the abnormal state.

[0009] Furthermore, the process of establishing the water quality state model includes:

[0010] Step S201, taking the water sample as the object, obtaining the real-time temperature T, pH and conductivity Cond data of the water sample during the water sample detection process;

[0011] Step S202: Calculate the real-time comprehensive quality parameter Q of the water sample based on the standard test environment according to the real-time temperature, pH and conductivity data obtained by measurement. n , Pollution degree D polln , water sample stability S stabn and the water sample change rate R changen, where n represents the serial number of the measurement parameter during the water sample detection process;

[0012] Step S203: construct a water quality state model based on the measurement and solution results.

[0013] In a second aspect of the present invention, there is provided a water quality multi-parameter detector, comprising:

[0014] Parameter monitoring module, parameter expected value generation module and abnormality judgment module;

[0015] The parameter monitoring module is placed in the water sample detection environment to monitor the real-time temperature, pH and conductivity data of the water sample during the detection process, and calculate the real-time comprehensive quality parameters, pollution degree, water sample stability and water sample change rate of the water sample to build a water quality state model;

[0016] The parameter expected value generation module is connected to the parameter monitoring module, and is used to receive the monitoring history data of the water sample detection, and establish a state monitoring comparison model based on the monitoring history data of the normal water quality detection state in the past and the water quality standard model, and determine the expected value of each parameter in the water sample detection process;

[0017] The abnormal judgment module is respectively connected to the parameter monitoring module and the parameter expected value generation module, and is used to compare the current water quality state model and the state monitoring comparison model according to the set water quality parameter threshold, to determine whether the water sample is in an abnormal state during normal detection and the parameters of the abnormal state.

[0018] Further, the parameter monitoring module includes a detection sensing component, a power supply component, a wire and a fixing frame;

[0019] The detection sensing component is used to measure the temperature, pH, and conductivity of the water sample, and calculate the real-time comprehensive quality parameters, pollution level, water sample stability, and water sample change rate of the water sample to construct a water quality status model;

[0020] The power supply component includes a power supply inside, which is used to supply power to the detection sensing component; the power supply component and the detection sensing component are connected via a wire;

[0021] The detection induction component and the power supply component are respectively fixed on the fixing frame, and are installed in the water sample detection environment through the fixing frame.

[0022] Furthermore, the detection sensing component includes a water quality sensor, a data processing unit, a data storage module and a communication module;

[0023] The water quality sensor is used to measure the temperature, pH, and conductivity of the water sample;

[0024] The data processing unit is connected to the water quality sensor and is used to read the measurement result output by the water quality sensor;

[0025] And according to specific algorithms, the real-time comprehensive quality parameters, pollution degree, water sample stability and water sample change rate of water samples are calculated;

[0026] The data storage module is connected to the data processing unit and is used to store water quality sensor measurement data, water sample state solution process data and result data;

[0027] The communication module is used to establish a communication connection with the parameter expected value generation module and the abnormality judgment module.

[0028] Furthermore, the data storage module includes a non-volatile memory chip, a static random access memory chip and an electrically erasable programmable read-only memory chip;

[0029] The non-volatile storage chip is used to store historical monitoring data of water sample detection;

[0030] The static random access memory chip is used to cache the temperature, pH and conductivity data obtained during the current detection process, and the intermediate variables generated during the solution process;

[0031] The electrically erasable programmable read-only memory chip is used to store relevant parameters required for the normal operation of the detection sensing component.

[0032] Furthermore, the communication module includes a wired communication interface and a wireless communication interface.

[0033] The above-mentioned embodiments of the present invention have at least the following beneficial effects: the water quality multi-parameter detector and detection method described in the present invention can construct a water quality status model by monitoring water sample parameter data to obtain measurement values, establish a comparison model in combination with historical data to determine expected values, set thresholds for comparison to determine whether the water sample is abnormal, and effectively monitor the water quality status. Secondly, the detector realizes water quality parameter monitoring, expected value generation and abnormality judgment through module collaboration. Each module has a reasonable structure and can accurately obtain and process water quality data, which helps to discover water quality problems in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0035] Figure 1 A schematic diagram of a process for detecting multi-parameter water quality according to an embodiment of the present invention;

[0036] Figure 2A schematic diagram of the structure of a water quality multi-parameter detector provided by an embodiment of the present invention;

[0037] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0039] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0040] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0041] Reference below Figure 1 , Figure 1 The following is a flow chart of a method for multi-parameter water quality detection provided by an embodiment of the present invention. Figure 1 As shown, a water quality multi-parameter detection method 100 includes:

[0042] Step 101, monitoring water sample parameter data, building a water quality state model, and obtaining the measured values ​​of each parameter during the water sample detection process;

[0043] Step 102, establishing a state monitoring comparison model based on the water quality standard model and the monitoring historical data of the normal water quality detection state in the past, and determining the expected values ​​of various parameters in the water sample detection process;

[0044] Step 103, setting water quality parameter thresholds, comparing the measured values ​​of each parameter with the expected values ​​of each parameter during the water sample detection process, and determining whether the water sample is in an abnormal state during the normal detection process and the parameters that cause the abnormal state.

[0045] It should be noted that monitoring water sample parameter data refers to collecting data on relevant characteristics of water samples, such as temperature, pH, conductivity and other information of water samples. Constructing a water quality state model is to process and analyze the collected water sample parameter data to establish a mathematical model that can reflect the state of the water sample. Obtaining the measured values ​​of each parameter in the water sample detection process means that through this model and monitoring process, the actual measured values ​​of each parameter of the water sample can be obtained.

[0046] Specifically, the parameter data collection of water samples is comprehensive and critical. Temperature can be measured by a temperature sensor, usually in degrees Celsius; pH is expressed as a pH value, which is obtained through a specific pH detection instrument; conductivity reflects the ability of water samples to conduct electricity, and the unit is μS / cm, etc. When constructing a water quality state model, it is necessary to comprehensively consider these parameters based on scientific algorithms and mathematical formulas. For example, the model may be constructed based on the weight of the impact of different parameters on water quality and their interrelationships.

[0047] More specifically, in terms of monitoring water sample parameter data, high-precision sensors can be used to ensure the accuracy of the data. For building a water quality state model, you can refer to existing mature mathematical models and adjust them according to the characteristics of the actual water sample. After obtaining the measured values ​​of each parameter, the data can be recorded and stored in real time for subsequent analysis and comparison.

[0048] In some embodiments, the process of establishing the water quality state model includes:

[0049] Step S201, taking the water sample as the object, obtaining the real-time temperature T, pH and conductivity Cond data of the water sample during the water sample detection process;

[0050] Step S202: Calculate the real-time comprehensive quality parameter Q of the water sample based on the standard test environment according to the real-time temperature, pH and conductivity data obtained by measurement. n , Pollution degree D polln , water sample stability S stabn and the water sample change rate R changen , where n represents the serial number of the measurement parameter during the water sample detection process;

[0051] Step S203: construct a water quality state model based on the measurement and solution results.

[0052] It should be noted that this embodiment elaborates on the process of establishing the water quality state model. First, the water sample is taken as the object, that is, the water sample to be tested is taken as the research subject. The real-time temperature, pH and conductivity data of the water sample are obtained during the water sample testing process. These data are the basis for building the model.

[0053] Specifically, real-time temperature refers to the temperature value measured at the moment of water sample testing. pH is an indicator of the acidity or alkalinity of a water sample, and its value range is generally between 0-14. Conductivity is a physical quantity that reflects the conductivity of electrolytes in a water sample. After obtaining these data, they must be solved according to a specific algorithm. For example, the real-time comprehensive quality parameters of water samples, degree of contamination, water sample stability, and water sample change rate based on a standard testing environment are calculated. These parameters can more comprehensively describe the state of the water sample.

[0054] More specifically, for temperature measurement, a temperature probe with high precision and stability can be used. When measuring pH, a suitable pH electrode can be selected to ensure the accuracy of the measurement. For conductivity measurement, attention should be paid to the calibration of the measuring instrument to ensure the reliability of the measurement results. During the solution process, the solution formula can be appropriately optimized according to different application scenarios and water quality characteristics.

[0055] In some embodiments, the water quality state model is:

[0056]

[0057]

[0058] S stabn =e -(|T-20|+|pH-7|+|Cond-500|)

[0059]

[0060] In the formula, all parameters are calculated with the standard test environment as the reference system, i represents the i-th water sample test, that is, the model is the water quality state model obtained after the i-th test; T is the temperature during the water sample test, in degrees Celsius;

[0061] pH is the acidity and alkalinity of the water sample; Cond is the conductivity of the water sample, in μS / cm;

[0062] Q n It is the comprehensive quality parameter of water sample under (T, pH, Cond) parameters;

[0063] D polln is the contamination degree of water sample under (T, pH, Cond) parameters;

[0064] S stabn is the stability of the water sample under (T, pH, Cond) parameters;

[0065] R changen is the rate of change of water sample under (T, pH, Cond) parameters.

[0066] It should be noted that the specific formulas of the water quality state model are given here. These formulas are derived based on the measurement data and solution methods mentioned above. Through these formulas, the comprehensive quality parameters, pollution degree, stability and change rate of water samples under different parameters can be quantitatively calculated.

[0067] Specifically, in the formula Middle, Q n It represents the comprehensive quality parameters of water samples under the parameters of (T, pH, Cond), where T is the temperature of the water sample during detection, pH is the acidity of the water sample, and Cond is the conductivity of the water sample. This formula is obtained by taking the square root of the sum of the squares of temperature, pH, and conductivity, and it comprehensively considers the impact of these three main parameters on the quality of the water sample. Middle, D polln The pollution degree of the water sample under the parameters (T, pH, Cond) is calculated by combining the relationship between temperature, pH and conductivity with some specific values ​​through a specific exponential function. stabn =e -(|T-20|+|pH-7|+|Cond-500|) In, S stabn The stability of the water sample under (T, pH, Cond) parameters is calculated by the exponential function and the absolute value of the difference between temperature, pH, and conductivity and the specific value. In, R changen The rate of change of the water sample under (T, pH, Cond) is calculated by dividing the sum of the absolute values ​​of the differences between the temperature, pH, and conductivity and the specific values ​​by 3.

[0068] More specifically, when calculating comprehensive quality parameters, if it is found that some parameters have a more critical impact on water quality, the weights of the parameters in the formula can be appropriately adjusted. For the calculation of the degree of pollution, when the environment in which the water sample is located is special, the constant term in the formula can be adjusted according to the actual situation. When calculating stability and rate of change, specific values ​​in the formula (such as 20, 7, 500, etc.) can be optimized according to different water quality standards and detection purposes.

[0069] In some embodiments, the expected values ​​of various parameters during water sample detection are:

[0070]

[0071] Where, standar d j is the standard value of the jth parameter determined based on the water quality standard model and the historical data of normal testing in the past, where j represents the serial number of the parameter;

[0072] measure d k,n,j is the measured value of the jth parameter in the nth measurement during the kth normal detection;

[0073] m is the number of normal tests; n is the measurement sequence number.

[0074] It should be noted that this claim describes a method for calculating the expected values ​​of various parameters during water sample testing. The expected values ​​are determined by combining the water quality standard model and previous normal test historical data, which helps to more accurately evaluate the status of the water sample.

[0075] Specifically, In this formula, standard j is the standard value of the jth parameter determined based on the water quality standard model and the historical data of normal testing in the past, where j represents the serial number of the parameter; measured k,n,j is the measured value of the jth parameter in the nth measurement during the kth normal detection; m is the number of normal detections; n is the measurement sequence number. By taking a weighted average of the standard value and multiple measurement values, a more reasonable expected value can be obtained.

[0076] More specifically, in determining the standard value standar d j When measuring the water quality, you can refer to the national or industry water quality standards. k,n,j , to ensure the accuracy and consistency of the measurement process. If a certain measurement value is found to be significantly different from other measurements, the measurement value can be further verified and analyzed to ensure the accuracy of the expected value calculation.

[0077] In some embodiments, the judgment condition of whether the water sample is in an abnormal state during normal detection is:

[0078] ||expect n |-|status in ||≤|Threshold set |

[0079] In the formula, expect n It is the expected value of each parameter in the water sample testing process;

[0080] status in It is the measured value of the water sample detection status parameter at that time;

[0081] Threshold set is the set water quality parameter threshold.

[0082] It should be noted that this claim provides the judgment condition of whether the water sample is in an abnormal state during the normal detection process. By comparing the expected value of each parameter with the measured value of the state parameter, and combining the set water quality parameter threshold, it is judged whether the water sample is abnormal.

[0083] Specifically, || expect n ||status in |≤|Threshold set |In this formula, expect n It is the expected value of each parameter in the water sample detection process; status in The measured value of the water sample detection status parameter at that time; Threshold set is the set water quality parameter threshold. When the absolute value of the difference is less than or equal to the threshold, the water sample is considered to be in a normal state; otherwise, it is in an abnormal state.

[0084] More specifically, when setting the water quality parameter threshold set When testing water quality, the threshold can be adjusted according to different water quality testing purposes and requirements. For example, for the testing of drinking water sources, the threshold may be set more strictly; for the testing of industrial water, the threshold can be reasonably set according to the actual needs of industrial production. in and expected value expect n The acquisition process must be subject to strict quality control to ensure the accuracy of the judgment results.

[0085] The above-mentioned embodiments of the present invention have the following beneficial effects: the water quality multi-parameter detection method of the present invention can construct a water quality state model by monitoring the water sample parameter data to obtain the measured values ​​of each parameter, establish a comparison model by the water quality standard model and historical data to determine the expected value, set a threshold value for comparison to determine whether the water sample is abnormal, and thus effectively monitor the water quality state. Secondly, the comprehensive quality parameters, pollution degree, stability and change rate of the water sample can be obtained according to a specific algorithm, and the water sample state can be comprehensively evaluated to provide more comprehensive and accurate information for water quality monitoring.

[0086] like Figure 2 As shown, a water quality multi-parameter detector 200 of some embodiments includes:

[0087] Parameter monitoring module 201, parameter expected value generation module 202 and abnormality judgment module 203;

[0088] The parameter monitoring module is placed in the water sample detection environment to monitor the real-time temperature, pH and conductivity data of the water sample during the detection process, and calculate the real-time comprehensive quality parameters, pollution degree, water sample stability and water sample change rate of the water sample to build a water quality state model;

[0089] The parameter expected value generation module is connected to the parameter monitoring module, and is used to receive the monitoring history data of the water sample detection, and establish a state monitoring comparison model based on the monitoring history data of the normal water quality detection state in the past and the water quality standard model, and determine the expected value of each parameter in the water sample detection process;

[0090] The abnormal judgment module is respectively connected to the parameter monitoring module and the parameter expected value generation module, and is used to compare the current water quality state model and the state monitoring comparison model according to the set water quality parameter threshold, to determine whether the water sample is in an abnormal state during normal detection and the parameters of the abnormal state.

[0091] It is understandable that the modules recorded in the water quality multi-parameter detector 200 are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the water quality multi-parameter detection method are also applicable to the water quality multi-parameter detector 200 and the modules contained therein, and will not be repeated here.

[0092] In some embodiments, the parameter monitoring module includes a detection sensing component, a power supply component, a wire, and a fixing frame;

[0093] The detection sensing component is used to measure the temperature, pH, and conductivity of the water sample, and calculate the real-time comprehensive quality parameters, pollution level, water sample stability, and water sample change rate of the water sample to construct a water quality status model;

[0094] The power supply component includes a power supply inside, which is used to supply power to the detection sensing component; the power supply component and the detection sensing component are connected via a wire;

[0095] The detection induction component and the power supply component are respectively fixed on the fixing frame, and are installed in the water sample detection environment through the fixing frame.

[0096] It should be noted that the claim describes in detail the composition structure of the parameter monitoring module, including a detection sensing component, a power supply component, a wire and a fixing frame. The detection sensing component is used to measure and process water sample related data, the power supply component supplies power to it, the wire connects the two, and the fixing frame is used to fix them in the water sample detection environment.

[0097] Specifically, the detection sensing component needs to be able to measure multiple water sample parameters, such as temperature sensors, pH sensors, and conductivity sensors. The power supply inside the power supply component must meet the power requirements of the detection sensing component, the wires must ensure good conductivity and connection stability, and the fixing frame must have sufficient strength and stability to adapt to different water sample detection environments.

[0098] More specifically, the sensor of the detection sensing component can be a high-precision, miniaturized product to improve the accuracy of the detection and the portability of the detector. The power supply component can consider using solar cells to achieve energy saving and environmental protection. The fixing frame can adopt an adjustable structure to facilitate installation and use in different environments.

[0099] In some embodiments, the detection sensing component includes a water quality sensor, a data processing unit, a data storage module, and a communication module;

[0100] The water quality sensor is used to measure the temperature, pH, and conductivity of the water sample;

[0101] The data processing unit is connected to the water quality sensor and is used to read the measurement result output by the water quality sensor;

[0102] And according to specific algorithms, the real-time comprehensive quality parameters, pollution degree, water sample stability and water sample change rate of water samples are calculated;

[0103] The data storage module is connected to the data processing unit and is used to store water quality sensor measurement data, water sample state solution process data and result data;

[0104] The communication module is used to establish a communication connection with the parameter expected value generation module and the abnormality judgment module.

[0105] It should be noted that this claim further describes the internal structure of the detection sensing component, including a water quality sensor, a data processing unit, a data storage module and a communication module. The water quality sensor is used to measure water sample parameters, the data processing unit is used to process the measurement results, the data storage module is used to store relevant data, and the communication module is used to establish a communication connection.

[0106] Specifically, water quality sensors should be able to accurately measure parameters such as temperature, pH, and conductivity. The data processing unit should process the measurement results according to specific algorithms, such as solving the real-time comprehensive quality parameters of water samples. The data storage module should have sufficient storage capacity to store measurement data, solution process data, and result data. The communication module should have stable communication capabilities, including wired and wireless communication methods.

[0107] More specifically, the water quality sensor can use a high-precision, high-sensitivity sensor to improve the accuracy of the measurement. The data processing unit can use a high-performance processor to speed up the data processing. The data storage module can use a large-capacity, high-speed storage chip, such as a solid-state hard drive. The communication module can use wireless communication technologies such as Bluetooth and Wi-Fi to improve the flexibility of the detector.

[0108] In some embodiments, the data storage module includes a non-volatile memory chip, a static random access memory chip, and an electrically erasable programmable read-only memory chip;

[0109] The non-volatile storage chip is used to store historical monitoring data of water sample detection;

[0110] The static random access memory chip is used to cache the temperature, pH and conductivity data obtained during the current detection process, and the intermediate variables generated during the solution process;

[0111] The electrically erasable programmable read-only memory chip is used to store relevant parameters required for the normal operation of the detection sensing component.

[0112] It should be noted that the claim introduces the composition structure of the data storage module, including a non-volatile memory chip, a static random access memory chip and an electrically erasable programmable read-only memory chip. The non-volatile memory chip is used to store historical monitoring data, the static random access memory chip is used to cache the current detection data, and the electrically erasable programmable read-only memory chip is used to store relevant setting parameters.

[0113] Specifically, non-volatile memory chips can be large-capacity flash memory chips to meet the storage needs of a large amount of monitoring historical data. Static random access memory chips must have fast read and write capabilities to meet the needs of fast data caching during the detection process. Electrically erasable programmable read-only memory chips must be able to accurately store relevant setting parameters and have erasable and writable functions.

[0114] More specifically, non-volatile memory chips can use multi-layer cell flash memory technology to increase storage capacity. Static random access memory chips can use cache chips to increase read and write speeds. Electrically erasable programmable read-only memory chips can use reprogrammable memory chips to facilitate parameter modification and updating.

[0115] In some embodiments, the communication module includes a wired communication interface and a wireless communication interface.

[0116] It should be noted that this claim describes the structure of the communication module, including a wired communication interface and a wireless communication interface. These two interfaces are used to establish communication connections with other modules to achieve data transmission and interaction.

[0117] Specifically, the wired communication interface may be a USB interface, an Ethernet interface, etc., for a stable wired connection. The wireless communication interface may be a Bluetooth, Wi-Fi, etc., for a flexible wireless connection.

[0118] More specifically, the wired communication interface may adopt a high-speed USB interface to increase the data transmission speed, and the wireless communication interface may adopt Bluetooth 5.0 and above to improve the stability and distance of communication.

[0119] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0120] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0121] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0122] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0123] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention to form a technical solution.

Claims

1. A water quality multi-parameter detection method, characterized in that: include: Monitor water sample parameter data, build a water quality status model, and obtain the measured values ​​of each parameter during the water sample detection process; Based on the water quality standard model and the historical monitoring data of the normal water quality detection status in the past, a state monitoring comparison model is established to determine the expected values ​​of various parameters in the water sample detection process; Set water quality parameter thresholds, compare the measured values ​​of each parameter with the expected values ​​of each parameter during water sample testing, and determine whether the water sample is in an abnormal state during normal testing and the parameters that cause the abnormal state.

2. The water quality multi-parameter detection method according to claim 1, characterized in that: The process of establishing the water quality state model includes: Step S201, taking the water sample as the object, obtaining the real-time temperature T, pH and conductivity Cond data of the water sample during the water sample detection process; Step S2O2: Calculate the real-time comprehensive quality parameter Q of the water sample based on the standard test environment according to the real-time temperature, pH and conductivity data obtained by measurement. n , Pollution degree D polln , water sample stability S stabn and the water sample change rate R changen , where n represents the serial number of the measurement parameter during the water sample detection process; Step S203: construct a water quality state model based on the measurement and solution results.

3. The water quality multi-parameter detection method according to claim 2, characterized in that: Real-time temperature refers to the temperature value measured at the moment of water sample testing. pH is an indicator to measure the acidity or alkalinity of the water sample, and its value range is generally between 0-14. Conductivity is a physical quantity that reflects the conductivity of electrolytes in the water sample. After obtaining these data, they must be solved according to specific algorithms.

4. The water quality multi-parameter detection method according to claim 3, characterized in that: For temperature measurement, you can use a temperature probe with high precision and stability. When measuring pH, choose a suitable pH electrode to ensure the accuracy of the measurement. For conductivity measurement, pay attention to the calibration of the measuring instrument to ensure the reliability of the measurement results. During the solution process, the solution formula should be appropriately optimized according to different application scenarios and water quality characteristics.

5. The water quality multi-parameter detection method according to claim 4, characterized in that: When calculating comprehensive quality parameters, if it is found that some parameters have a more critical impact on water quality, the weights of the parameters in the formula should be adjusted appropriately. For the calculation of the degree of pollution, when the water sample is in a special environment, the constant terms in the formula should be adjusted according to the actual situation. When calculating stability and change rate, the specific values ​​in the formula should be optimized according to different water quality standards and detection purposes.

6. A water quality multi-parameter detector, characterized in that: It includes parameter monitoring module, parameter expected value generation module and abnormality judgment module; The parameter monitoring module is placed in the water sample detection environment to monitor the real-time temperature, pH and conductivity data of the water sample during the detection process, and calculate the real-time comprehensive quality parameters, pollution degree, water sample stability and water sample change rate of the water sample to build a water quality state model; The parameter expected value generation module is connected to the parameter monitoring module, and is used to receive the monitoring history data of the water sample detection, and establish a state monitoring comparison model based on the monitoring history data of the normal water quality detection state in the past and the water quality standard model, and determine the expected value of each parameter in the water sample detection process; The abnormal judgment module is respectively connected to the parameter monitoring module and the parameter expected value generation module, and is used to compare the current water quality state model and the state monitoring comparison model according to the set water quality parameter threshold, to determine whether the water sample is in an abnormal state during normal detection and the parameters of the abnormal state.

7. The water quality multi-parameter detector according to claim 6, characterized in that: The parameter monitoring module includes a detection sensor component, a power supply component, a wire and a fixing frame; The detection sensing component is used to measure the temperature, pH, and conductivity of the water sample, and calculate the real-time comprehensive quality parameters, pollution level, water sample stability, and water sample change rate of the water sample to construct a water quality status model; The power supply component includes a power supply inside, which is used to supply power to the detection sensing component; the power supply component and the detection sensing component are connected via a wire; The detection induction component and the power supply component are respectively fixed on the fixing frame, and are installed in the water sample detection environment through the fixing frame.

8. The water quality multi-parameter detector according to claim 6, characterized in that: The detection sensing component includes a water quality sensor, a data processing unit, a data storage module and a communication module; The water quality sensor is used to measure the temperature, pH, and conductivity of the water sample; The data processing unit is connected to the water quality sensor and is used to read the measurement result output by the water quality sensor; And according to specific algorithms, the real-time comprehensive quality parameters, pollution degree, water sample stability and water sample change rate of water samples are calculated; The data storage module is connected to the data processing unit and is used to store water quality sensor measurement data, water sample state solution process data and result data; The communication module is used to establish a communication connection with the parameter expected value generation module and the abnormality judgment module.

9. The water quality multi-parameter detector according to claim 8, characterized in that: The data storage module includes a non-volatile memory chip, a static random access memory chip and an electrically erasable programmable read-only memory chip; The non-volatile storage chip is used to store historical monitoring data of water sample detection; The static random access memory chip is used to cache the temperature, pH and conductivity data obtained during the current detection process, and the intermediate variables generated during the solution process; The electrically erasable programmable read-only memory chip is used to store relevant parameters required for the normal operation of the detection sensing component.

10. The water quality multi-parameter detector according to claim 8, characterized in that: The communication module includes a wired communication interface and a wireless communication interface.

Images