A sensor-based online monitoring system and method for aircraft deicing waste liquid recovery

Abstract

This application relates to the field of aircraft de-icing technology and discloses a sensor-based online monitoring system and method for aircraft de-icing waste fluid recovery. The method includes: obtaining first, second, and third sensor information; using a preset concentration prediction model to predict the de-icing fluid concentration based on the third sensor information, thereby obtaining a de-icing fluid concentration prediction result; and calculating the de-icing fluid recovery rate based on the first, second, and predicted de-icing fluid concentration results, thereby obtaining a de-icing fluid recovery rate calculation result. Embodiments of this application can improve the statistical accuracy of the de-icing waste fluid recovery rate.

Description

Technical Field

[0001] The present application relates to the technical field of aircraft de-icing, and in particular to a sensor-based online monitoring system and method for recovering aircraft de-icing waste liquid. Background Art

[0002] Cold weather can easily cause ice to form on the surface of an aircraft. In related technologies, de-icing can be achieved by spraying a pre-made de-icing fluid on the aircraft surface according to the actual icing situation and weather conditions.

[0003] Currently, de-icing waste fluid recovery rates are calculated based on the volume of recovered de-icing waste fluid. However, after de-icing fluid is sprayed onto an aircraft, it mixes with melted ice and snow before flowing down. This mixing ratio can be unpredictable due to varying operational processes and aircraft ice and snow coverage. Therefore, simply calculating the recovery rate based solely on de-icing waste fluid volume is inaccurate. Summary of the Invention

[0004] The purpose of this application is to provide a sensor-based online monitoring system and method for aircraft de-icing waste fluid recovery, aiming to improve the statistical accuracy of the de-icing waste fluid recovery rate.

[0005] The present application provides a sensor-based online monitoring method for aircraft deicing waste fluid recovery, comprising:

[0006] Acquiring first sensor information, second sensor information, and third sensor information; the first sensor information is sensor information of the liquid level of unused deicing fluid, the second sensor information is sensor information of the liquid level of recycled deicing waste fluid, and the third sensor information is sensor information of the refractive index, chemical oxygen demand, and / or tracer content of the recycled deicing waste fluid;

[0007] Using a preset concentration prediction model, the concentration of the deicing fluid is predicted based on the third sensor information to obtain a deicing fluid concentration prediction result; the concentration prediction model describes a linear relationship between the concentration of the deicing fluid in the recovered deicing waste liquid and the third sensor information;

[0008] A deicing fluid recovery rate calculation is performed based on the first sensor information, the second sensor information, and the deicing fluid concentration prediction result to obtain a deicing fluid recovery rate calculation result.

[0009] In some embodiments, the method of using a preset concentration prediction model to predict the deicing fluid concentration based on the third sensor information to obtain a deicing fluid concentration prediction result includes:

[0010] performing a weighted sum operation on the refractive index sensing information, the chemical oxygen demand sensing information, and / or the tracer content sensing information to obtain a fitting result of the third sensing information;

[0011] The fitting result of the third sensor information is input into a preset concentration prediction model to perform de-icing fluid concentration prediction to obtain the de-icing fluid concentration prediction result.

[0012] In some embodiments, the calculating of the deicing fluid recovery rate based on the first sensor information, the second sensor information, and the deicing fluid concentration prediction result to obtain the deicing fluid recovery rate calculation result includes:

[0013] calculating the usage of the deicing fluid according to the first sensor information;

[0014] calculating the deicing fluid content in the recovered deicing waste fluid based on the second sensor information and the deicing fluid concentration prediction result;

[0015] The deicing liquid recovery rate is calculated based on the usage of the deicing liquid and the content of the deicing liquid in the recovered deicing waste liquid to obtain the deicing liquid recovery rate calculation result.

[0016] In some embodiments, before inputting the fitting result of the third sensor information into a preset concentration prediction model to perform deicing fluid concentration prediction and obtain the deicing fluid concentration prediction result, the method further includes:

[0017] Acquiring sample sensing information and sample concentration information obtained by sampling a plurality of sample waste liquids; the sample sensing information is refractive index sensing information, chemical oxygen demand sensing information, and / or tracer content sensing information of the sample waste liquids, and the sample concentration information is concentration information of the deicing fluid in the sample waste liquids;

[0018] The concentration prediction model is constructed according to the sample sensing information and the sample concentration information.

[0019] In some embodiments, the concentration prediction model is:

[0020] ,

[0021] ,

[0022] in, is the de-icing fluid concentration prediction result, is the linear weight, is the fitting result of the third sensing information, is the fitting result of water refractive index, chemical oxygen demand and / or tracer content, is the fitting result of the refractive index, chemical oxygen demand and / or tracer content of the deicing fluid.

[0023] The present application also provides a sensor-based online monitoring system for aircraft de-icing waste fluid recovery, including:

[0024] a sensor assembly configured to collect first sensor information, second sensor information, and third sensor information; the first sensor information being sensor information of the level of unused deicing fluid, the second sensor information being sensor information of the level of recycled deicing waste fluid, and the third sensor information being sensor information of the refractive index, chemical oxygen demand, and / or tracer content of the recycled deicing waste fluid;

[0025] a processor connected to the sensor assembly, configured to obtain the first sensor information, the second sensor information, and the third sensor information, use a preset concentration prediction model to predict the deicing fluid concentration based on the third sensor information to obtain a deicing fluid concentration prediction result, and calculate the deicing fluid recovery rate based on the first sensor information, the second sensor information, and the deicing fluid concentration prediction result to obtain a deicing fluid recovery rate calculation result; the concentration prediction model describes a linear relationship between the concentration of the deicing fluid in the recovered deicing waste liquid and the third sensor information.

[0026] In some embodiments, the processor is further used to perform a weighted sum operation on the refractive index sensing information, the chemical oxygen demand sensing information and / or the tracer content sensing information to obtain a fitting result of the third sensing information, input the fitting result of the third sensing information into a preset concentration prediction model, perform deicing fluid concentration prediction, and obtain the deicing fluid concentration prediction result.

[0027] In some embodiments, the sensing component includes:

[0028] a first sensor for detecting a liquid level of a container storing the unused deicing fluid;

[0029] a second sensor for detecting a liquid level of a container storing the recovered deicing waste liquid;

[0030] The third sensor is used to perform refractive index detection, chemical oxygen demand detection and / or tracer content detection on the recovered deicing waste liquid.

[0031] In some embodiments, a sensor-based online monitoring system for aircraft de-icing waste fluid recovery further includes a sampling assembly, the sampling assembly comprising:

[0032] a temporary storage device connected to the container for storing the recovered deicing waste liquid;

[0033] A stirring device is disposed in the temporary storage device;

[0034] a sampling pump connected to the third sensor and extending into the interior of the temporary reservoir through a pipeline, and used for pumping the deicing waste liquid in the temporary reservoir to the third sensor;

[0035] The filter is arranged on the pipeline of the sampling pump extending into the temporary storage device.

[0036] In some embodiments, the third sensor is a refractive index sensor, a COD sensor, and / or a fluorescent tracer sensor.

[0037] The present application has the beneficial effects of obtaining refractive index sensor information, chemical oxygen demand sensor information, and / or tracer content sensor information of recycled de-icing waste liquid, using a preset concentration prediction model to predict the de-icing fluid concentration, obtaining a de-icing fluid concentration prediction result, and combining the liquid level sensor information of unused de-icing fluid, the liquid level sensor information of recycled de-icing waste liquid, and the de-icing fluid concentration prediction result to calculate the de-icing fluid recovery rate, thereby obtaining a de-icing fluid recovery rate calculation result. Because the de-icing fluid recovery rate is calculated based not only on the volume of the recycled de-icing waste liquid but also on the volume of the recycled de-icing waste liquid and the refractive index sensor information, chemical oxygen demand sensor information, and / or tracer content sensor information of the recycled de-icing waste liquid, the concentration of the de-icing fluid in the de-icing waste liquid is taken into account, thereby improving the statistical accuracy of the de-icing waste liquid recovery rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of a sensor-based online monitoring method for aircraft de-icing waste fluid recovery provided in one embodiment of the present application.

[0039] Figure 2 This is a structural diagram of a sensor-based online monitoring system for aircraft de-icing waste liquid recovery provided in the first embodiment of the present application.

[0040] Figure 3 This is a structural diagram of a sensor-based online monitoring system for aircraft de-icing waste liquid recovery provided in the second embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0042] It should be noted that although the device schematics illustrate functional module divisions and the flowcharts illustrate logical sequences, in certain circumstances, the steps illustrated may be performed in a sequence that differs from the module divisions in the device or the sequence in the flowcharts. Terms such as "first" and "second" in the specification, claims, and drawings are used to distinguish similar items and are not intended to describe a specific sequence or precedence.

[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0044] An embodiment of the present application provides a sensor-based online monitoring method for aircraft de-icing waste fluid recovery.

[0045] See Figure 1 , Figure 1 This is a flow chart of a sensor-based online monitoring method for aircraft de-icing waste fluid recovery provided in an embodiment of the present application. In some embodiments of the present application, Figure 1 The method may include but is not limited to steps S101 to S103. Figure 1 These three steps are introduced in detail.

[0046] Step S101: Acquire first sensor information, second sensor information, and third sensor information. The first sensor information is sensor information about the level of unused deicing fluid, the second sensor information is sensor information about the level of recycled deicing waste fluid, and the third sensor information is sensor information about the refractive index, chemical oxygen demand, and / or tracer content of the recycled deicing waste fluid.

[0047] In step S101, first sensor information, second sensor information, and third sensor information are obtained. The sensor information generated by the sensor detecting the corresponding parameter is obtained by electrically connecting to the corresponding sensor to determine the detection result of the corresponding parameter. Specifically, the corresponding sensor detects the liquid level of a container storing unused deicing fluid to obtain liquid level sensor information of the unused deicing fluid, detects the liquid level of a container storing recycled deicing waste fluid to obtain liquid level sensor information of the recycled deicing waste fluid, and detects the refractive index, chemical oxygen demand, and / or tracer content of the recycled deicing waste fluid to obtain refractive index sensor information, chemical oxygen demand sensor information, and / or tracer content sensor information of the recycled deicing waste fluid.

[0048] In step S102, a preset concentration prediction model is used to predict the concentration of the deicing fluid based on the third sensor information to obtain a deicing fluid concentration prediction result. The concentration prediction model describes a linear relationship between the concentration of the deicing fluid in the recovered deicing waste liquid and the third sensor information.

[0049] In step S102, a preset concentration prediction model is used to predict the concentration of the de-icing fluid based on the third sensor information. This can be based on the third sensor information historically collected by the sensor and the concentration of the de-icing fluid in the recovered de-icing waste fluid corresponding to the third sensor information, and a linear relationship between the concentration of the de-icing fluid in the recovered de-icing waste fluid and the third sensor information is fitted to construct a concentration prediction model. After the third sensor information currently collected by the sensor is input into the concentration prediction model, the concentration prediction model outputs a corresponding de-icing fluid concentration prediction result to predict the concentration of the de-icing fluid in the recovered de-icing waste fluid.

[0050] In a specific embodiment, step S102 specifically includes the following steps:

[0051] performing a weighted sum operation on the refractive index sensing information, the chemical oxygen demand sensing information, and / or the tracer content sensing information to obtain a fitting result of the third sensing information;

[0052] The fitting result of the third sensing information is input into a preset concentration prediction model to perform de-icing fluid concentration prediction to obtain a de-icing fluid concentration prediction result.

[0053] It is understood that the third sensor information may include one or more of refractive index sensor information, chemical oxygen demand sensor information, and tracer content sensor information, and may be obtained by configuring corresponding sensors to sense and detect corresponding parameters at corresponding locations. For example, a refractive index sensor may be used to detect the refractive index of the recycled deicing waste liquid to obtain refractive index sensor information, a COD sensor may be used to detect the chemical oxygen demand of the recycled deicing waste liquid to obtain chemical oxygen demand sensor information, and a fluorescent tracer sensor may be used to detect the tracer content of the recycled deicing waste liquid to obtain tracer sensor information.

[0054] When the third sensor information consists of refractive index sensor information, chemical oxygen demand sensor information, or tracer content sensor information, the refractive index sensor information, chemical oxygen demand sensor information, or tracer content sensor information is used as the fitting result of the third sensor information. When the third sensor information consists of at least two of the refractive index sensor information, chemical oxygen demand sensor information, and tracer content sensor information, the refractive index sensor information, chemical oxygen demand sensor information, and / or tracer content sensor information may be mapped to the same data representation space, and corresponding weight coefficients may be assigned to each information mapping result. A weighted summation operation is performed using the obtained information mapping results and the corresponding weight coefficients to obtain the fitting result of the third sensor information. The fitting result of the third sensor information is input into the concentration prediction model, which predicts the de-icing fluid concentration and outputs a corresponding de-icing fluid concentration prediction result to predict the de-icing fluid concentration in the recovered de-icing waste fluid.

[0055] Step S103 , calculating the deicing fluid recovery rate based on the first sensor information, the second sensor information and the deicing fluid concentration prediction result to obtain a deicing fluid recovery rate calculation result.

[0056] In a specific embodiment, step S103 specifically includes the following steps:

[0057] calculating the usage of de-icing fluid based on the first sensor information;

[0058] Calculating the deicing fluid content in the recovered deicing waste fluid based on the second sensor information and the deicing fluid concentration prediction result;

[0059] The deicing fluid recovery rate is calculated based on the usage of the deicing fluid and the content of the deicing fluid in the recovered deicing waste fluid to obtain a deicing fluid recovery rate calculation result.

[0060] In step S103, the volume of unused deicing fluid is determined based on the first sensor information, the usage of the deicing fluid is calculated to determine the volume of the used deicing fluid, the volume of the recovered deicing waste fluid is determined based on the second sensor information, the volume of deicing fluid contained in each unit volume of the recovered deicing waste fluid is determined based on the deicing fluid concentration prediction result, the deicing fluid content in the recovered deicing waste fluid is calculated in combination with the second sensor information and the deicing fluid concentration prediction result to determine the volume of the recovered deicing fluid, and the deicing fluid recovery rate calculation result can be obtained by combining the volume of the recovered deicing fluid and the volume of the used deicing fluid.

[0061] In a specific embodiment, before step S103, the following steps are further included:

[0062] Acquiring sample sensing information and sample concentration information obtained by sampling a plurality of sample waste liquids; wherein the sample sensing information is refractive index sensing information, chemical oxygen demand sensing information, and / or tracer content sensing information of the sample waste liquid, and the sample concentration information is concentration information of the deicing fluid in the sample waste liquid;

[0063] A concentration prediction model is constructed based on sample sensing information and sample concentration information.

[0064] Specifically, sensing detection is performed on sample waste liquids with predetermined sample concentration information to obtain sample sensing information corresponding to each sample waste liquid. According to the type of sensing information contained in the sample sensing information, a weighted sum operation is performed on the refractive index sensing information, chemical oxygen demand sensing information and / or tracer content sensing information of the sample waste liquid to obtain a fitting result of the sample sensing information. According to the fitting result of the sample sensing information and the sample concentration information of each sample waste liquid, a linear relationship between the fitting result of the sample sensing information and the sample concentration information is fitted, thereby constructing a concentration prediction model.

[0065] In the above embodiment, the concentration prediction model is:

[0066] ,

[0067] ,

[0068] in, is the de-icing fluid concentration prediction result, is the linear weight, is the fitting result of the third sensing information, is the fitting result of water refractive index, chemical oxygen demand and / or tracer content, is the fitting result of the refractive index, chemical oxygen demand and / or tracer content of the deicing fluid.

[0069] The embodiment of the present application also provides a sensor-based online monitoring system for aircraft de-icing waste liquid recovery.

[0070] See Figure 2In one embodiment, the system includes a sensor assembly 100 and a processor 200. The sensor assembly 100 is connected to the processor 200. The sensor assembly 100 is configured to collect first sensor information, second sensor information, and third sensor information. The processor 200 is configured to obtain the first sensor information, the second sensor information, and the third sensor information, and then use a preset concentration prediction model to predict the deicing fluid concentration based on the third sensor information to obtain a deicing fluid concentration prediction result. The deicing fluid recovery rate is then calculated based on the first sensor information, the second sensor information, and the deicing fluid concentration prediction result to obtain a deicing fluid recovery rate calculation result. The first sensor information is sensor information about the level of unused deicing fluid, the second sensor information is sensor information about the level of recovered deicing waste fluid, and the third sensor information is sensor information about the refractive index, chemical oxygen demand, and / or tracer content of the recovered deicing waste fluid. The concentration prediction model describes a linear relationship between the concentration of deicing fluid in the recovered deicing waste fluid and the third sensor information.

[0071] The sensor assembly 100 may be composed of a plurality of sensors of different types, each of which is disposed at a different position and configured to sense and detect corresponding parameters to obtain first sensing information, second sensing information, and third sensing information. Processor 200 obtains first sensor information, second sensor information, and third sensor information collected by sensor component 100, inputs the third sensor information into a concentration prediction model, and the concentration prediction model outputs a corresponding de-icing fluid concentration prediction result to predict the concentration of de-icing fluid in the recovered de-icing waste fluid, determines the volume of unused de-icing fluid based on the first sensor information, calculates the amount of de-icing fluid used to determine the volume of used de-icing fluid, determines the volume of recovered de-icing waste fluid based on the second sensor information, determines the volume of de-icing fluid contained in each unit volume of recovered de-icing waste fluid based on the de-icing fluid concentration prediction result, calculates the content of de-icing fluid in the recovered de-icing waste fluid based on the second sensor information and the de-icing fluid concentration prediction result to determine the volume of recovered de-icing fluid, and obtains a de-icing fluid recovery rate calculation result by combining the volume of recovered de-icing fluid and the volume of used de-icing fluid.

[0072] In a specific embodiment, the processor 200 is further configured to perform a weighted sum operation on the refractive index sensor information, the chemical oxygen demand sensor information, and / or the tracer content sensor information to obtain a fitting result of the third sensor information, input the fitting result of the third sensor information into a preset concentration prediction model, perform deicing fluid concentration prediction, and obtain a deicing fluid concentration prediction result.

[0073] See also Figure 2 and Figure 3In a specific embodiment, the sensor assembly 100 includes a first sensor 110, a second sensor 120, and a third sensor 130. The detection end of the first sensor 110 is disposed in a container storing unused deicing fluid and is used to detect the liquid level of the container storing unused deicing fluid. The detection end of the second sensor 120 is disposed in a container storing recycled deicing waste fluid and is used to detect the liquid level of the container storing recycled deicing waste fluid. The detection end of the third sensor 130 is disposed in the container storing recycled deicing waste fluid or in a container connected to the container storing recycled deicing waste fluid and is used to detect the refractive index, chemical oxygen demand, and / or tracer content of the recycled deicing waste fluid.

[0074] See also Figure 2 and Figure 3 In a specific embodiment, the system further includes a sampling assembly 300, which includes a temporary reservoir 310, a stirring device 320, a sampling pump 330, and a filter 340. The temporary reservoir 310 is connected to a container storing recovered deicing waste liquid, the stirring device 320 is disposed within the temporary reservoir 310, the sampling pump 330 is connected to the third sensor 130 and extends into the interior of the temporary reservoir 310 through a pipe, and is used to pump the deicing waste liquid in the temporary reservoir 310 toward the third sensor 130, and the filter 340 is disposed in the pipe extending from the sampling pump 330 into the temporary reservoir 310.

[0075] Temporary reservoir 310 is located between the de-icing waste liquid conveying device and the container for storing recovered de-icing waste liquid. The de-icing waste liquid conveying device collects de-icing waste liquid generated after aircraft de-icing. The de-icing waste liquid flows through the de-icing waste liquid conveying device and then temporary reservoir 310 before ultimately reaching the container for storing recovered de-icing waste liquid. Within temporary reservoir 310, a stirring device 320 stirs the de-icing waste liquid to uniformly mix the various components of the de-icing waste liquid. A sampling pump 330, connected to a pipe with a filter 340, contacts the de-icing waste liquid in temporary reservoir 310 and pumps the de-icing waste liquid in temporary reservoir 310 toward a third sensor 130 connected to sampling pump 330. Third sensor 130 senses the de-icing waste liquid and obtains refractive index, chemical oxygen demand, and / or tracer content information of the recovered de-icing waste liquid.

[0076] In the above-mentioned embodiment, the third sensor 130 is a refractive index sensor, a COD sensor and / or a fluorescent tracer sensor.

[0077] In summary, the sensor-based online monitoring system and method for aircraft de-icing waste fluid recovery provided in the embodiments of the present application obtains refractive index sensor information, chemical oxygen demand sensor information, and / or tracer content sensor information of the recovered de-icing waste fluid, and uses a preset concentration prediction model to predict the de-icing fluid concentration to obtain a de-icing fluid concentration prediction result. The de-icing fluid recovery rate is then calculated by combining the liquid level sensor information of the unused de-icing fluid, the liquid level sensor information of the recovered de-icing waste fluid, and the de-icing fluid concentration prediction result to obtain a de-icing fluid recovery rate calculation result. Because the de-icing fluid recovery rate calculation is based not solely on the volume of the recovered de-icing waste fluid but rather on the volume of the recovered de-icing waste fluid in combination with the refractive index sensor information, chemical oxygen demand sensor information, and / or tracer content sensor information of the recovered de-icing waste fluid, the concentration of the de-icing fluid in the de-icing waste fluid is taken into account, thereby improving the statistical accuracy of the de-icing waste fluid recovery rate.

[0078] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0079] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention should be within the scope of the present invention.

Claims

1. A sensor-based online monitoring method for aircraft deicing waste liquid recovery, characterized in that: include: Acquiring first sensor information, second sensor information, and third sensor information; the first sensor information is sensor information of the liquid level of unused deicing fluid, the second sensor information is sensor information of the liquid level of recycled deicing waste fluid, and the third sensor information is sensor information of the refractive index, chemical oxygen demand, and / or tracer content of the recycled deicing waste fluid; Using a preset concentration prediction model, the concentration of the deicing fluid is predicted based on the third sensor information to obtain a deicing fluid concentration prediction result; the concentration prediction model describes a linear relationship between the concentration of the deicing fluid in the recovered deicing waste liquid and the third sensor information; Calculating a deicing fluid recovery rate based on the first sensor information, the second sensor information, and the deicing fluid concentration prediction result to obtain a deicing fluid recovery rate calculation result; The method of using a preset concentration prediction model to predict the concentration of the deicing fluid according to the third sensor information to obtain a deicing fluid concentration prediction result includes: performing a weighted sum operation on the refractive index sensing information, the chemical oxygen demand sensing information, and / or the tracer content sensing information to obtain a fitting result of the third sensing information; Inputting the fitting result of the third sensor information into a preset concentration prediction model to predict the concentration of the deicing fluid to obtain the deicing fluid concentration prediction result; The calculating the deicing fluid recovery rate based on the first sensor information, the second sensor information, and the deicing fluid concentration prediction result to obtain the deicing fluid recovery rate calculation result includes: calculating the usage of the deicing fluid according to the first sensor information; calculating the deicing fluid content in the recovered deicing waste fluid based on the second sensor information and the deicing fluid concentration prediction result; The deicing liquid recovery rate is calculated based on the usage of the deicing liquid and the content of the deicing liquid in the recovered deicing waste liquid to obtain the deicing liquid recovery rate calculation result.

2. The sensor-based on-line monitoring method for aircraft deicing waste fluid recovery according to claim 1, characterized in that: Before inputting the fitting result of the third sensor information into a preset concentration prediction model to predict the concentration of the deicing fluid and obtaining the deicing fluid concentration prediction result, the method further includes: Acquiring sample sensing information and sample concentration information obtained by sampling a plurality of sample waste liquids; the sample sensing information is refractive index sensing information, chemical oxygen demand sensing information, and / or tracer content sensing information of the sample waste liquids, and the sample concentration information is concentration information of the deicing fluid in the sample waste liquids; The concentration prediction model is constructed according to the sample sensing information and the sample concentration information.

3. The sensor-based online monitoring method for aircraft deicing waste fluid recovery according to any one of claims 1 to 2, characterized in that: The concentration prediction model is: ， ， in, is the de-icing fluid concentration prediction result, is the linear weight, is the fitting result of the third sensing information, is the fitting result of water refractive index, chemical oxygen demand and / or tracer content, is the fitting result of the refractive index, chemical oxygen demand and / or tracer content of the deicing fluid.

4. A sensor-based online monitoring system for aircraft deicing waste fluid recovery, used to implement the sensor-based online monitoring method for aircraft deicing waste fluid recovery according to any one of claims 1 to 3, characterized in that: include: a sensor assembly configured to collect first sensor information, second sensor information, and third sensor information; the first sensor information being sensor information of the level of unused deicing fluid, the second sensor information being sensor information of the level of recycled deicing waste fluid, and the third sensor information being sensor information of the refractive index, chemical oxygen demand, and / or tracer content of the recycled deicing waste fluid; a processor connected to the sensor assembly, configured to obtain the first sensor information, the second sensor information, and the third sensor information, use a preset concentration prediction model to predict the deicing fluid concentration based on the third sensor information to obtain a deicing fluid concentration prediction result, and calculate the deicing fluid recovery rate based on the first sensor information, the second sensor information, and the deicing fluid concentration prediction result to obtain a deicing fluid recovery rate calculation result; the concentration prediction model describes a linear relationship between the concentration of the deicing fluid in the recovered deicing waste liquid and the third sensor information.

5. The sensor-based online monitoring system for aircraft de-icing waste fluid recovery according to claim 4, characterized in that: The processor is further configured to perform a weighted sum operation on the refractive index sensor information, the chemical oxygen demand sensor information, and / or the tracer content sensor information to obtain a fitting result of the third sensor information, input the fitting result of the third sensor information into a preset concentration prediction model, perform deicing fluid concentration prediction, and obtain the deicing fluid concentration prediction result.

6. The sensor-based online monitoring system for aircraft deicing waste fluid recovery according to claim 4, characterized in that: The sensing component comprises: a first sensor for detecting a liquid level of a container storing the unused deicing fluid; a second sensor for detecting a liquid level of a container storing the recovered deicing waste liquid; The third sensor is used to perform refractive index detection, chemical oxygen demand detection and / or tracer content detection on the recovered deicing waste liquid.

7. The sensor-based online monitoring system for aircraft deicing waste fluid recovery according to claim 6, characterized in that: Also included is a sampling assembly, the sampling assembly comprising: a temporary storage device connected to the container for storing the recovered deicing waste liquid; A stirring device is disposed in the temporary storage device; a sampling pump connected to the third sensor and extending into the interior of the temporary reservoir through a pipeline, and used for pumping the deicing waste liquid in the temporary reservoir to the third sensor; The filter is arranged on the pipeline of the sampling pump extending into the temporary storage device.

8. The sensor-based online monitoring system for aircraft de-icing waste fluid recovery according to claim 6, characterized in that: The third sensor is a refractive index sensor, a COD sensor and / or a fluorescent tracer sensor.

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