Liquid identification method, module and instrument
By acquiring and calculating the sonar, thermal conductivity and electrical conductivity data of the liquid and determining the type of liquid with weight coefficients, the problem of low liquid recognition accuracy in the prior art is solved, and more efficient liquid recognition and extraction separation is achieved.
Patent Information
- Application Number
- CN202411261367.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-09
- Publication Date
- 2024-12-27
AI Technical Summary
The prior art has low accuracy in liquid identification, which affects the accuracy of liquid extraction and separation, making it difficult to effectively identify the types of different liquids in the reactor.
By obtaining the sonar data, thermal conductivity data and conductivity data of the liquid, calculating the characteristic values and combining the weight coefficients, determining the type of liquid, and using a variety of characteristic data for liquid identification, improving the accuracy of the identification.
It improves the accuracy of liquid identification, ensures the accuracy of the liquid extraction and separation process, can effectively identify the types of different liquids in the reactor, and improves the separation efficiency.
Smart Images
Figure CN119202787A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of data processing technology, and in particular to a liquid identification method, module and instrument. Background Art
[0002] In the field of fine chemicals, many products require extraction and separation of different liquids during the production process. In order to accurately extract and separate different liquids, it is necessary to accurately identify different liquids first, and then control the extraction and separation process of different liquids according to the currently identified liquids. For example, the reactor contains two liquids, oil and water. In order to separate water and oil, a water outlet valve is provided at the bottom of the reactor. During the water-oil separation process, the water outlet valve will be opened to discharge the water. During the drainage process, the type of bottom liquid will be detected in real time. When it is detected that the bottom liquid is water, the water outlet valve will be kept open to continue the drainage process. When it is detected that the bottom liquid is oil, the water outlet valve will be closed to complete the water-oil separation operation. It can be seen that in this scenario, the accuracy of liquid identification will directly affect the accuracy of extraction and separation of different liquids.
[0003] At present, when liquid identification is performed in the market, usually only a single means is used for liquid identification, and each liquid identification means has certain limitations, which leads to low accuracy of liquid identification. Therefore, how to improve the accuracy of liquid identification is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention
[0004] In view of this, the present disclosure proposes a liquid identification method, module and instrument, which can improve the accuracy of liquid identification.
[0005] According to a first aspect of the present disclosure, there is provided a liquid identification method, comprising:
[0006] Acquire at least one characteristic data of sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified;
[0007] Calculating a characteristic value of the first liquid to be identified based on each characteristic data of the first liquid to be identified and a weight coefficient corresponding to each characteristic data obtained;
[0008] Based on the characteristic value of the first liquid to be identified, the type of the first liquid to be identified is determined.
[0009] In a possible implementation, when obtaining the weight coefficient of each feature data, it includes:
[0010] Sampling a first liquid to be identified to obtain a first sampled liquid, and acquiring at least one characteristic data of the first sampled liquid among sonar data, thermal conductivity data, and electrical conductivity data;
[0011] Sampling a second liquid to be identified to obtain a second sampled liquid, and acquiring at least one characteristic data of the second sampled liquid among sonar data, thermal conductivity data, and electrical conductivity data;
[0012] Based on each characteristic data of the first sample liquid and each characteristic data of the second sample liquid, a weight coefficient of each characteristic data is calculated.
[0013] The first liquid to be identified and the second liquid to be identified are two different types of liquids located in the same reactor and need to be separated and processed.
[0014] In a possible implementation, when determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified, the method includes:
[0015] Determine the characteristic value range to which the characteristic value of the first liquid to be identified belongs;
[0016] Based on the characteristic value range, the type of the first liquid to be identified is determined.
[0017] In a possible implementation, when determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified, the method includes:
[0018] The characteristic value of the first liquid to be identified is input into a pre-constructed liquid identification model to obtain the type of the first liquid to be identified.
[0019] In a possible implementation manner, after the type of the first liquid to be identified is determined, the method further includes: controlling the classification operation of the first liquid to be identified and the second liquid to be identified based on the type of the first liquid to be identified.
[0020] According to a second aspect of the present disclosure, there is provided a liquid identification module, comprising:
[0021] A characteristic data acquisition unit, used to acquire at least one characteristic data of the sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified;
[0022] a characteristic value calculation unit, configured to calculate a characteristic value of the first liquid to be identified based on each characteristic data of the first liquid to be identified and a weight coefficient corresponding to each characteristic data obtained;
[0023] The liquid identification unit is used to determine the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified.
[0024] In a possible implementation, the liquid identification unit includes: a characteristic value range determination subunit and a first result output subunit;
[0025] The characteristic value range determination subunit is used to determine the characteristic value range to which the characteristic value of the first liquid to be identified belongs;
[0026] The first result output subunit is used to determine the type of the first liquid to be identified based on the characteristic value range.
[0027] In a possible implementation, the liquid identification unit includes a second result output subunit;
[0028] The second result output subunit is used to input the characteristic value of the first liquid to be identified into a pre-built liquid identification model to obtain the type of the first liquid to be identified.
[0029] According to a third aspect of the present disclosure, there is provided a liquid identification instrument, comprising: an instrument head, a connecting rod flange, a sonar sensor, an electrical conductivity sensor, a connecting rod, and a thermal conductivity sensor; wherein the instrument head is provided with a liquid identification module as claimed in any one of claims 6 to 8;
[0030] The first end of the connecting rod flange is provided with the instrument header, and the second end of the connecting rod flange is provided with the sonar sensor;
[0031] The conductivity sensor is arranged at a first position of an end of the sonar sensor away from the connecting rod flange through the connecting rod;
[0032] The thermal conductivity sensor is disposed at a second position of the sonar sensor away from an end of the connecting rod flange;
[0033] The sonar sensor, the conductivity sensor, and the thermal conductivity sensor are communicatively connected to an input end of the liquid identification module.
[0034] In a possible implementation, a display device is further provided on the instrument head, and the display device is communicatively connected to an output end of the liquid identification module.
[0035] The present disclosure provides a liquid identification method, module and instrument, the method comprising: obtaining at least one characteristic data of the sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified; calculating the characteristic value of the first liquid to be identified based on each characteristic data of the first liquid to be identified and the weight coefficient corresponding to each characteristic data obtained; determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified. In the present disclosure, multiple characteristic data such as the sonar data, thermal conductivity data and electrical conductivity data of the liquid to be identified are integrated to identify the type of the liquid, thereby improving the accuracy of liquid identification.
[0036] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
[0038] Figure 1 A flow chart showing a liquid identification method according to an embodiment of the present disclosure;
[0039] Figure 2 A schematic block diagram of a liquid identification module according to an embodiment of the present disclosure is shown;
[0040] Figure 3 A schematic block diagram of a liquid identification instrument according to an embodiment of the present disclosure is shown;
[0041] Figure 4 A schematic diagram showing the installation position of a liquid identification meter according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION
[0042] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.
[0043] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.
[0044] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.
[0045] <Method Example>
[0046] Figure 1 FIG. 1 is a flow chart showing a liquid identification method according to an embodiment of the present disclosure. Figure 1 As shown, the method includes steps S1100-S1300.
[0047] S1100, obtaining at least one characteristic data of the sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified, wherein the first liquid to be identified is the liquid whose type is currently to be identified.
[0048] It should be noted here that the application scenario of the present invention is that there are two incompatible liquids in a reactor, wherein the liquid with high density is close to the bottom of the reactor and is the lower medium (i.e., the first liquid to be identified), and the liquid with low density is close to the top of the reactor and is the upper medium (i.e., the second liquid to be identified), and a liquid identification instrument is arranged near the bottom of the reactor, and the sonar sensor, conductivity sensor and thermal conductivity sensor on the liquid identification instrument penetrate into the internal liquid at the bottom of the reactor. In this way, when the liquid identification instrument is turned on, at least one characteristic data among the sonar data, thermal conductivity data and conductivity data of the first liquid to be identified can be first obtained through the sonar sensor, conductivity sensor and thermal conductivity sensor arranged on the liquid identification instrument.
[0049] S1200, calculating a characteristic value of the first liquid to be identified based on each characteristic data of the first liquid to be identified and a weight coefficient corresponding to each acquired characteristic data.
[0050] In a possible implementation, the weight coefficient corresponding to each characteristic data is determined according to the difference between each characteristic data of the first liquid to be identified and each characteristic data of the second liquid. The second liquid to be identified and the first liquid to be identified are two different types of liquids located in the same reactor and need to be separated. Specifically, when obtaining the weight coefficient of each characteristic data, the following steps may be included:
[0051] First, a first liquid to be identified is sampled to obtain a first sampled liquid, and at least one characteristic data of the sonar data, thermal conductivity data, and electrical conductivity data of the first sampled liquid is obtained. Specifically, after sampling the first sampled liquid, the first sampled liquid can be detected using a sonar sensor, an electrical conductivity sensor, and a thermal conductivity sensor, respectively, to obtain the sonar data X1, thermal conductivity data Y1, and electrical conductivity data Z1 of the first sampled liquid.
[0052] Second, the second liquid to be identified is sampled to obtain a second sampled liquid, and at least one characteristic data of the sonar data, thermal conductivity data, and electrical conductivity data of the second sampled liquid is obtained. Specifically, after sampling the second sampled liquid, the second sampled liquid can be detected using a sonar sensor, an electrical conductivity sensor, and a thermal conductivity sensor, respectively, to obtain the sonar data X2, thermal conductivity data Y2, and electrical conductivity data Z2 of the second sampled liquid.
[0053] Third, based on each characteristic data of the first sampled liquid and each characteristic data of the second sampled liquid, a weight coefficient of each characteristic data is calculated. Specifically, the following steps may be included:
[0054] First, each characteristic data of the first liquid to be identified is normalized to obtain each normalized characteristic data of the first liquid to be identified. The calculation process of each normalized characteristic data of the first liquid to be identified is as follows:
[0055]
[0056] Wherein, A1 is the normalized sonar data of the first sampled liquid, A2 is the normalized thermal conductivity data of the first sampled liquid, and A3 is the normalized electrical conductivity data of the first sampled liquid.
[0057] Secondly, each characteristic data of the second liquid to be identified is normalized to obtain each normalized characteristic data of the second liquid to be identified. The calculation process of each normalized characteristic data of the second liquid to be identified is as follows:
[0058]
[0059] Wherein, B1 is the normalized sonar data of the second sampling liquid, B2 is the normalized thermal conductivity data of the second sampling liquid, and B3 is the normalized electrical conductivity data of the second sampling liquid.
[0060] Finally, for each feature data, the difference between the normalized feature data of the first liquid to be identified and the corresponding normalized feature data of the second liquid to be identified is calculated, and the difference is used as the weight coefficient of each feature data. Specifically, the calculation formula of the weight coefficient of each feature data is as follows:
[0061] E1=B1-A1; E2=B2-A2; E3=B3-A3
[0062] Where E1 is the weight coefficient corresponding to the sonar data, E2 is the weight coefficient corresponding to the thermal conductivity data, and E3 is the weight coefficient corresponding to the electrical conductivity data.
[0063] After obtaining the weight coefficients corresponding to the characteristic data, the characteristic value of the first liquid to be identified can be calculated based on the characteristic data of the first liquid to be identified and the weight coefficients corresponding to the characteristic data. Specifically, the calculation formula of the characteristic value of the first body fluid to be identified is as follows:
[0064] T1=E1X1+E2Y1+E3Z1
[0065] Wherein, T1 is the characteristic value of the first body fluid to be identified.
[0066] After the characteristic of the first liquid to be identified is calculated, step S1300 may be executed to determine the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified.
[0067] In a possible implementation, when determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified, the following steps may be included: determining the characteristic value range to which the characteristic value of the first liquid to be identified belongs; and determining the type of the first liquid to be identified based on the characteristic value range.
[0068] It should be noted here that various liquid names are pre-stored in the liquid identification module that executes the method disclosed herein, and a corresponding characteristic value range is pre-configured for each liquid name. In this way, after calculating the characteristic value of the first liquid to be identified, the characteristic value range to which the characteristic value belongs can be determined first, and then the liquid name corresponding to the characteristic value range to which it belongs can be used as the type name of the first liquid to be identified.
[0069] In another possible implementation, when determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified, it can also be implemented based on a pre-trained liquid recognition model. Specifically, the characteristic value of the first liquid to be identified is input into a pre-built liquid recognition model, so that the type of the first liquid to be identified is output through the liquid recognition model.
[0070] In this implementable method, it is necessary to first train and obtain a liquid recognition model. Specifically, multiple liquids that may be involved in liquid recognition are sampled multiple times. After each sampling, the corresponding characteristic value of the sampled liquid is calculated by referring to the steps above, and the liquid type name corresponding to the sampled liquid is used as the label of the characteristic value, thereby forming a training sample, that is, each time a sample is taken, a training data including the liquid characteristic value and the corresponding liquid type name label will be obtained. After sampling, multiple training data will be obtained for each liquid. The parameters of the machine learning model are trained through all the training data. After the training, a liquid recognition model that can output the liquid type according to the characteristic value of the liquid can be obtained.
[0071] In a possible implementation, after determining the type of the first liquid to be identified, the method further includes: controlling the classification operation of the first liquid to be identified and the second liquid to be identified based on the type of the first liquid to be identified. In the application scenario of the present disclosure, in order to separate the first liquid to be identified (i.e., the lower medium) and the second liquid to be identified (i.e., the upper medium) in the reactor, a discharge pipe is set at the bottom of the reactor, and a liquid identification instrument (i.e., Figure 4 The detector in the apparatus) is arranged at a position close to the bottom end of the discharge pipe through the flange on the connecting rod flange, one end of the liquid identification instrument provided with a sensor penetrates into the discharge pipe, a pneumatic switch bottom valve is arranged on the discharge pipe between the liquid identification instrument and the bottom of the reactor, and a pneumatic switch valve for the upper medium (the second liquid to be identified) and a pneumatic switch valve for the lower medium (the first liquid to be identified) are respectively arranged at the bottom end of the discharge pipe. When separating two liquids, first open the pneumatic switch bottom valve and the lower medium pneumatic switch valve. At this time, the lower medium will first be transported to the first container through the discharge pipe and the lower medium pneumatic switch valve. During the entire liquid classification process, the liquid identification instrument will identify the liquid flowing through it in real time: when the type of the liquid is identified as the lower medium (i.e., the first liquid to be identified), keep the pneumatic switch bottom valve and the lower medium pneumatic switch valve open to transport the lower medium to the first container; when the type of the liquid is identified as the upper medium (i.e., the second liquid to be identified), it means that the last medium has been completely discharged. At this time, keep the pneumatic switch bottom valve open, close the lower medium pneumatic switch valve, and open the upper medium pneumatic switch valve to transport the upper medium to the second container until the separation of the upper medium and the lower medium is completed, and then close all the pneumatic switch valves.
[0072] The present disclosure provides a liquid identification method, which includes obtaining at least one characteristic data of the sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified; calculating the characteristic value of the first liquid to be identified based on the characteristic data of the first liquid to be identified and the weight coefficient corresponding to the obtained characteristic data; and determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified. In the present disclosure, multiple characteristic data such as the sonar data, thermal conductivity data and electrical conductivity data of the liquid to be identified are integrated to identify the type of the liquid, thereby improving the accuracy of liquid identification.
[0073] <Module Embodiment>
[0074] Figure 2 FIG. 2 shows a schematic block diagram of a liquid identification module according to an embodiment of the present disclosure. Figure 2 As shown, the module 100 includes:
[0075] The characteristic data acquisition unit 110 is used to acquire at least one characteristic data of the sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified.
[0076] The characteristic value calculation unit 120 is used to calculate the characteristic value of the first liquid to be identified based on each characteristic data of the first liquid to be identified and the weight coefficient corresponding to each acquired characteristic data.
[0077] The liquid identification unit 130 is used to determine the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified.
[0078] In a possible implementation, the liquid identification unit includes: a characteristic value range determination subunit and a first result output subunit.
[0079] The characteristic value range determination subunit is used to determine the characteristic value range to which the characteristic value of the first liquid to be identified belongs.
[0080] The first result output subunit is used to determine the type of the first liquid to be identified based on the characteristic value range.
[0081] In a possible implementation manner, the liquid identification unit includes a second result output subunit.
[0082] The second result output subunit is used to input the characteristic value of the first liquid to be identified into a pre-built liquid identification model to obtain the type of the first liquid to be identified.
[0083] <Instrument Example>
[0084] Figure 3 FIG. 1 is a schematic block diagram of a liquid identification instrument according to an embodiment of the present disclosure. Figure 3 As shown, the liquid identification instrument 200 includes: an instrument head 210, a connecting rod flange 220, a sonar sensor 230, a conductivity sensor 240, a connecting rod 250 and a thermal conductivity sensor 260; wherein, a liquid identification module as described in any one of the module embodiments is arranged in the instrument head 210, and the liquid identification module is used to obtain at least one characteristic data of the sonar data, thermal conductivity data and conductivity data of the first liquid to be identified, and identify the type of the first liquid to be identified based on the acquired data.
[0085] The first end of the connecting rod flange 220 is provided with an instrument head 210, and the second end of the connecting rod flange 220 is provided with a sonar sensor 230. Specifically, Figure 3As shown, the connecting rod flange 220 includes a flange and a detection rod, and the detection rod passes through the center of the flange and is fixedly connected to the flange. The end of the detection rod closer to the flange is the first end of the connecting rod flange 220, and the end of the detection rod farther from the flange is the second end of the connecting rod flange 220. The first end of the connecting rod flange 220 is provided with an instrument head 210, which is threadedly connected to the first end of the connecting rod flange 220 and locked to the first end of the connecting rod flange 220 by a locking nut. The sonar sensor 230 is fixedly connected to the second end of the connecting rod flange 220 by a thread.
[0086] The conductivity sensor 240 is provided with a connecting rod 250, and the connecting rod 250 is provided with a thread matching the sonar sensor 230, so that the connecting rod 250 and the conductivity sensor 240 can be fixed at a first position of the end of the sonar sensor 230 away from the connecting rod flange 220 through the thread.
[0087] The thermal conductivity sensor 260 is also provided with threads matching the sonar sensor 230, so that the thermal conductivity sensor 260 can be fixed to the second position of the sonar sensor 230 away from the end of the connecting rod flange 220 through the threads. The first position and the second position are different positions on the same mounting surface of the sonar sensor 230.
[0088] Furthermore, the sonar sensor 230 , the conductivity sensor 240 , and the thermal conductivity sensor 260 are communicatively connected to the input end of the liquid identification module 211 .
[0089] In one possible implementation, a display device is also provided on the instrument head 210, and the display device is communicatively connected to the output end of the liquid identification module. Thus, after the liquid identification module identifies the type of liquid, the identified type of liquid and the characteristic value corresponding to the liquid can be displayed on the display device.
[0090] Furthermore, the output end of the liquid identification module is also communicatively connected to the control system located in the reactor, so that when the type of liquid is identified, the identified type of liquid is sent to the control system of the reactor. After receiving the type of liquid, the control system controls the opening and closing of the discharge valve at the bottom of the reactor according to the type of liquid, so as to control the classification of the first liquid to be identified and the second liquid to be identified by opening and closing the discharge valve.
[0091] It should be further noted that in the application scenario described in the method embodiment, a discharge pipe is provided at the bottom of the reactor, and a liquid identification instrument (i.e. Figure 4The detector in the apparatus) is arranged at a position close to the bottom end of the discharge pipe through the flange on the connecting rod flange, one end of the liquid identification instrument provided with a sensor penetrates into the discharge pipe, a pneumatic switch bottom valve is arranged on the discharge pipe between the liquid identification instrument and the bottom of the reactor, and a pneumatic switch valve for the upper medium (the second liquid to be identified) and a pneumatic switch valve for the lower medium (the first liquid to be identified) are respectively arranged at the bottom end of the discharge pipe. When separating two liquids, first open the pneumatic switch bottom valve and the lower medium pneumatic switch valve. At this time, the lower medium will first be transported to the first container through the discharge pipe and the lower medium pneumatic switch valve. During the entire liquid classification process, the liquid identification instrument will identify the liquid flowing through it in real time: when the type of the liquid is identified as the lower medium (i.e., the first liquid to be identified), keep the pneumatic switch bottom valve and the lower medium pneumatic switch valve open to transport the lower medium to the first container; when the type of the liquid is identified as the upper medium (i.e., the second liquid to be identified), it means that the last medium has been completely discharged. At this time, keep the pneumatic switch bottom valve open, close the lower medium pneumatic switch valve, and open the upper medium pneumatic switch valve to transport the upper medium to the second container until the separation of the upper medium and the lower medium is completed, and then close all the pneumatic switch valves.
[0092] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.
Claims
1. A liquid identification method, characterized in that: include: Acquire at least one characteristic data of sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified; Calculating a characteristic value of the first liquid to be identified based on each characteristic data of the first liquid to be identified and a weight coefficient corresponding to each characteristic data obtained; Based on the characteristic value of the first liquid to be identified, the type of the first liquid to be identified is determined.
2. The method according to claim 1, characterized in that When obtaining the weight coefficient of each of the characteristic data, it includes: Sampling a first liquid to be identified to obtain a first sampled liquid, and acquiring at least one characteristic data of the first sampled liquid among sonar data, thermal conductivity data, and electrical conductivity data; Sampling a second liquid to be identified to obtain a second sampled liquid, and acquiring at least one characteristic data of the second sampled liquid among sonar data, thermal conductivity data, and electrical conductivity data; Based on each characteristic data of the first sample liquid and each characteristic data of the second sample liquid, a weight coefficient of each characteristic data is calculated. The first liquid to be identified and the second liquid to be identified are two different types of liquids located in the same reactor and need to be separated and processed.
3. The method according to claim 1, characterized in that When determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified, the method includes: Determine the characteristic value range to which the characteristic value of the first liquid to be identified belongs; Based on the characteristic value range, the type of the first liquid to be identified is determined.
4. The method according to claim 1, characterized in that When determining the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified, the method includes: The characteristic value of the first liquid to be identified is input into a pre-constructed liquid identification model to obtain the type of the first liquid to be identified.
5. The method according to claim 2, characterized in that: After determining the type of the first liquid to be identified, the method further includes: controlling the classification operation of the first liquid to be identified and the second liquid to be identified based on the type of the first liquid to be identified.
6. A liquid identification module, characterized in that: include: A characteristic data acquisition unit, used to acquire at least one characteristic data of the sonar data, thermal conductivity data and electrical conductivity data of the first liquid to be identified; a characteristic value calculation unit, configured to calculate a characteristic value of the first liquid to be identified based on each characteristic data of the first liquid to be identified and a weight coefficient corresponding to each characteristic data obtained; The liquid identification unit is used to determine the type of the first liquid to be identified based on the characteristic value of the first liquid to be identified.
7. The module according to claim 6, characterized in that The liquid identification unit comprises: a characteristic value range determination subunit and a first result output subunit; The characteristic value range determination subunit is used to determine the characteristic value range to which the characteristic value of the first liquid to be identified belongs; The first result output subunit is used to determine the type of the first liquid to be identified based on the characteristic value range.
8. The module according to claim 6, characterized in that The liquid identification unit includes a second result output subunit; The second result output subunit is used to input the characteristic value of the first liquid to be identified into a pre-built liquid identification model to obtain the type of the first liquid to be identified.
9. A liquid identification instrument, characterized in that: include: An instrument head, a connecting rod flange, a sonar sensor, an electrical conductivity sensor, a connecting rod and a thermal conductivity sensor; wherein the instrument head is provided with a liquid identification module as described in any one of claims 6 to 8; The first end of the connecting rod flange is provided with the instrument header, and the second end of the connecting rod flange is provided with the sonar sensor; The conductivity sensor is arranged at a first position of an end of the sonar sensor away from the connecting rod flange through the connecting rod; The thermal conductivity sensor is disposed at a second position of the sonar sensor away from an end of the connecting rod flange; The sonar sensor, the conductivity sensor, and the thermal conductivity sensor are communicatively connected to an input end of the liquid identification module.
10. The meter according to claim 9, characterized in that The instrument head is also provided with a display device, and the display device is communicatively connected with the output end of the liquid identification module.