Method and device for treating harmful substances in rail vehicles, and rail vehicles
By setting sensors in the carriage of a rail vehicle to detect harmful substance parameters, obtain sample characteristics of the carriage environment and parts, extract correction coefficients, and determine verification deviation parameters, the problem of inaccurate air quality control in the existing technology is solved, and the corrective factor is achieved. Accurate control of air quality in the car.
Patent Information
- Application Number
- CN202211139873.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-19
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2042-09-19
AI Technical Summary
Existing rail vehicles have shortcomings in air quality control, and they cannot accurately match harmful substances in parts and harmful substances in the air in the car, affecting passengers' ride comfort.
By setting sensors in each carriage to detect harmful substance parameters, obtain the harmful substance sample characteristics of the carriage environment and parts, extract the correction coefficient, and determine the verification deviation parameters to achieve accurate control of the air quality in the carriage.
The control of harmful substances in high-risk parts has been achieved, the accuracy of air quality control in the car has been improved, and the passenger comfort is improved.
Smart Images

Figure CN115684472B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of environmental protection technology, and in particular to a method and device for treating harmful substances in a rail vehicle, and a rail vehicle. Background Art
[0002] Existing rail vehicles have a wide variety of raw materials and complex production processes, resulting in a variety of sources of harmful substances inside the vehicle. At the same time, rail vehicle compartments have the characteristics of closed space, high personnel mobility and high density, so the air quality requirements inside the compartments are relatively high.
[0003] Currently, there is no method to match harmful substances in components with harmful substances in the air inside the car, making it impossible to accurately implement in-car air quality control, affecting passengers' riding comfort. Summary of the invention
[0004] The present invention provides a method and device for treating harmful substances in a rail vehicle and a rail vehicle, so as to solve the above-mentioned defects of the prior art.
[0005] According to a first aspect of the present invention, a method for treating harmful substances in a rail vehicle is provided, wherein the rail vehicle comprises: a plurality of carriages, each of which is provided with a sensor, and the sensor is used to detect parameters of harmful substances in the carriage;
[0006] The method comprises:
[0007] Acquire a first sample feature and a second sample feature in each compartment, wherein the first sample feature identifies a parameter of a harmful substance in the compartment environment, and the second sample feature identifies a parameter of a harmful substance in each component in the compartment;
[0008] Extracting a correction coefficient according to the first sample feature and the second sample feature;
[0009] Determine a verification deviation parameter according to the first sample characteristic and the correction coefficient;
[0010] It is determined that the verification deviation parameter meets a preset deviation threshold, and the first sample feature is corrected according to the correction coefficient.
[0011] According to an embodiment of the present invention, the step of obtaining the first sample feature in each carriage specifically includes:
[0012] N sampling points are set in each carriage, where N is a positive integer greater than or equal to 1;
[0013] Obtaining a list of hazardous substances in each carriage, and extracting the types of hazardous substances in the list of hazardous substances according to preset collection types;
[0014] The detection amount of environmentally harmful substances in each of the carriages is collected through N sampling points, and the first sample feature is determined based on all the detection amounts of environmentally harmful substances, wherein the detection amounts of environmentally harmful substances include harmful substance parameters of each type of harmful substance in each of the carriages.
[0015] According to an embodiment of the present invention, the step of obtaining the second sample feature in each carriage specifically includes:
[0016] Obtaining a list of all parts of each carriage, and extracting suspected harmful parts according to the list of all parts;
[0017] According to all the suspected harmful parts corresponding to each of the carriages, the total amount of harmful substances in the parts corresponding to each of the carriages is determined, and the second sample feature is determined according to the total amount of harmful substances in the parts of each of the carriages.
[0018] According to an embodiment of the present invention, the step of determining the total amount of harmful substances in the components corresponding to each compartment according to all the harmful components corresponding to each compartment specifically includes:
[0019] Obtain the actual test amount of harmful substances, the actual test area and the test environment gas volume of the suspected harmful parts;
[0020] Obtaining the actual usage area of all the suspected harmful components in the corresponding carriage;
[0021] Determine the component hazardous substance conversion amount of the corresponding suspected hazardous component according to the actual hazardous substance test amount, the actual test area, the test environment gas amount and the actual use area;
[0022] Repeat the above steps to obtain the converted amount of harmful substances in each suspected harmful component, and obtain the total amount of harmful substances in the component based on the converted amounts of harmful substances in all the components.
[0023] According to an embodiment of the present invention, the suspected harmful parts include at least: any one or a combination of floors, wall panels, ceiling panels, partitions and seats.
[0024] According to an embodiment of the present invention, the step of extracting the correction coefficient according to the first sample feature and the second sample feature specifically includes:
[0025] Obtaining volume parameters corresponding to the suspected harmful parts in each carriage;
[0026] Determine the calculated amount of harmful components of the components corresponding to the compartment according to the total amount of harmful substances in the components and the volume parameter;
[0027] The correction coefficient is determined according to the calculated amount of harmful substances in the component.
[0028] According to an embodiment of the present invention, the step of determining the correction coefficient according to the calculated amount of harmful substances in the component specifically includes:
[0029] Obtaining the calculated amount of harmful substances in the components of each carriage and the detected amount of harmful substances in the environment corresponding to each carriage;
[0030] Determine a carriage correction coefficient corresponding to each carriage according to the calculated amount of harmful substances in the components and the detected amount of harmful substances in the environment;
[0031] Repeat the above steps to obtain the carriage correction coefficients of all the carriages, and determine the correction coefficient based on all the carriage correction coefficients.
[0032] According to an embodiment of the present invention, the step of determining the verification deviation parameter according to the first sample feature and the correction coefficient specifically includes:
[0033] Determine the verified amount of harmful substances in the parts according to the calculated amount of harmful substances in the parts of each carriage and the correction coefficient;
[0034] The verification deviation parameter is determined according to the verified amount of harmful substances in the component and the detected amount of harmful substances in the environment.
[0035] According to a second aspect of the present invention, a device for processing hazardous substances in a rail vehicle includes: an acquisition module, an extraction module, a determination module, and a correction module;
[0036] The acquisition module is used to acquire a first sample feature and a second sample feature in each carriage, wherein the first sample feature identifies a parameter of a harmful substance in the carriage environment, and the second sample feature identifies a parameter of a harmful substance in each component in the carriage;
[0037] The extraction module is used to extract the correction coefficient according to the first sample feature and the second sample feature;
[0038] The determination module is used to determine the verification deviation parameter according to the first sample feature and the correction coefficient;
[0039] The correction module is used to determine whether the verification deviation parameter meets a preset deviation threshold, and to correct the first sample feature according to the correction coefficient.
[0040] According to a third aspect of the present invention, a rail vehicle is provided, which uses the above-mentioned rail vehicle harmful substance treatment method or the above-mentioned rail vehicle harmful substance treatment device when performing harmful substance treatment.
[0041] The above one or more technical solutions in the present invention have at least one of the following technical effects: the present invention provides a method, device and rail vehicle for handling harmful substances in rail vehicles, which respectively obtain harmful substances in the car and components to identify high-risk components, realize the control of harmful substances in high-risk components, and ultimately achieve the purpose of controlling harmful substances in the air in the vehicle. At the same time, the mutual influence of harmful substances in the release process of components is fully considered, and the harmful substance content of the entire rail vehicle is corrected according to the correction coefficient, thereby improving the accuracy of harmful substance control. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0043] Figure 1 It is a schematic flow chart of a method for treating harmful substances in rail vehicles provided by the present invention;
[0044] Figure 2 It is a schematic diagram of the arrangement of the device for treating harmful substances in rail vehicles provided by the present invention.
[0045] Reference numerals:
[0046] 10. Acquisition module; 20. Extraction module; 30. Determination module; 40. Correction module. DETAILED DESCRIPTION
[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0048] The present invention is described in detail below in conjunction with the accompanying drawings of the specification. The specific operating method in the method embodiment can also be applied to the device embodiment or the system embodiment. In the description of the present invention, unless otherwise specified, "at least one" includes one or more. "Multiple" refers to two or more. For example, at least one of A, B and C includes: A exists alone, B exists alone, A and B exist at the same time, A and C exist at the same time, B and C exist at the same time, and A, B and C exist at the same time. In the present invention, " / " means or, for example, A / B can mean A or B; "and / or" in this article is only a kind of association relationship that describes the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.
[0049] The present invention will be described in detail below in conjunction with specific implementation modes.
[0050] In some specific embodiments of the present invention, Figure 1 As shown, the present solution provides a method for treating harmful substances in a rail vehicle, wherein the rail vehicle comprises: a plurality of carriages, each of which is provided with a sensor, and the sensor is used to detect the parameters of harmful substances in the carriage;
[0051] Methods include:
[0052] Acquire a first sample feature and a second sample feature in each carriage, wherein the first sample feature identifies a parameter of a harmful substance in the carriage environment, and the second sample feature identifies a parameter of a harmful substance in each component in the carriage;
[0053] Extracting a correction coefficient according to the first sample feature and the second sample feature;
[0054] Determine the verification deviation parameter according to the first sample characteristics and the correction coefficient;
[0055] It is determined that the verification deviation parameter meets the preset deviation threshold, and the first sample feature is corrected according to the correction coefficient.
[0056] In some possible embodiments of the present invention, the step of obtaining the first sample feature in each carriage specifically includes:
[0057] N sampling points are set in each carriage, where N is a positive integer greater than or equal to 1;
[0058] Obtain a list of hazardous substances in each carriage, and extract the types of hazardous substances in the list according to the preset collection types;
[0059] The amount of environmentally harmful substances detected in each carriage is collected through N sampling points, and the first sample feature is determined according to all the amounts of environmentally harmful substances detected, wherein the amounts of environmentally harmful substances detected include harmful substance parameters of each type of harmful substance in each carriage.
[0060] Specifically, this embodiment provides an implementation method for obtaining the first sample characteristics in each carriage. By detecting the environment in each carriage, the detection amount of environmental harmful substances is obtained, which is convenient for subsequent matching with the harmful substance content of components, and then accurately controlling the ambient air quality in the carriage to provide passengers with a comfortable riding experience.
[0061] Furthermore, by obtaining a list of harmful substances in the car, the analysis of harmful substances in the car can be focused on some harmful substances that are of greater concern, thereby improving the accuracy of control.
[0062] In a possible implementation, the harmful substances in the vehicle compartment are detected to obtain the formaldehyde and TVOC contents respectively. At the same time, the GC-MS toluene semi-quantitative analysis method is used to obtain the top ten substances with the highest TVOC contents, where GC-MS is gas chromatography-mass spectrometry, and TVOC stands for Total Volatile Organic Compounds.
[0063] In a possible implementation, the sampling is done by avoiding ventilation ducts and vents. The height of the sampling point is consistent with the height of the passenger's breathing zone, 0.5m to 1.5m above the ground, and the height in the experiment is 1.2m. 2 Arrange 1 to 3 test points below, 50 to 100m 2 Arrange 3 to 5 test points.
[0064] In a possible implementation, the top ten substances in TVOC in the air of rail vehicle compartments at room temperature are analyzed. In different compartments, the top ten substances account for about 70% of the TVOC content in the air of the entire vehicle, and the content of benzene series is about 20%.
[0065] In one application scenario, the rail vehicle to be sampled closes its doors and windows, air conditioning fresh air, and exhaust outlets for 12 hours, turns on the air conditioner to automatic operation or sets the air conditioner target temperature to 24℃±2℃, and samples are tested 2 hours later, with the sampling temperature not lower than 16℃.
[0066] Furthermore, the environmentally harmful substances detection amount of aldehydes and ketones (formaldehyde, acetaldehyde and acrolein, etc.) was collected, the gas flow rate was 400ml / min, the sampling time was 30min, and the sampling volume was 12L; the environmentally harmful substances detection amount of total volatile organic compounds (TVOC) was collected, the gas flow rate was 100ml / min, the sampling time was 30min, and the sampling volume was 3L. The rail vehicle air gas sample collection device consists of a constant flow gas sampling pump, a filling column sampling tube, a sampling catheter and a bracket. The sampling catheters include VOC sampling tubes and aldehyde and ketone sampling tubes.
[0067] In some possible embodiments of the present invention, the step of obtaining the second sample feature in each carriage specifically includes:
[0068] Obtain a list of all parts for each carriage, and extract suspected harmful parts based on the list of all parts;
[0069] According to all suspected harmful parts corresponding to each carriage, the total amount of harmful substances in the parts corresponding to each carriage is determined, and the second sample feature is determined according to the total amount of harmful substances in the parts of each carriage.
[0070] Specifically, this embodiment provides an implementation method for obtaining the second sample characteristics in each car. By obtaining the relevant component harmful substances of each suspected harmful component in each car, it is convenient to establish a matching relationship between the component harmful substances and the harmful substances in the air in the car, thereby realizing the evaluation and correction of the detection amount of environmental harmful substances directly measured in the car.
[0071] In a possible implementation, by obtaining a list of all parts in each car, it is possible to screen the parts that have a direct impact on harmful substances in the air in each car, obtain suspected harmful parts, and obtain the total amount of harmful substances generated by the suspected harmful parts in the corresponding car, identify the contribution of harmful substances to the air in the car, and achieve precise control of harmful substances in the air in the car.
[0072] In one application scenario, the bag method is used to collect samples for each suspected harmful component. Specifically, the sample corresponding to the suspected harmful component in the car is placed in a sampling bag, filled with 1 / 2 bag volume of nitrogen (such as a 1000L bag filled with 500L of nitrogen), and the sample bag is placed in a constant temperature chamber at 25°C for 16 hours, and a sampling tube is used to collect the released gas.
[0073] Furthermore, the suspected harmful parts are sealed in polyvinyl fluoride (PVF) bags and filled with a certain amount of nitrogen; after heating at a specified temperature for a certain period of time, the VOC components in the sample to be tested evaporate in the PVF bag. A certain volume of gas samples are collected respectively, and aldehydes and ketones and volatile organic compounds are qualitatively and quantitatively analyzed using high performance liquid chromatography (HPLC) and thermal desorption-gas chromatography-mass spectrometry (TDS / GC-MS). The air quality in the rail vehicle compartment and the samples collected for component testing use the same analysis method. The VOC analysis reference is analyzed using a gas chromatography-mass spectrometer (GC-MS). In addition to testing the TVOC content, other VOC substances such as benzene, toluene, ethylbenzene, xylene, and styrene can also be qualitatively and quantitatively analyzed.
[0074] Furthermore, the size of the bag is selected according to the size of the suspected hazardous parts. If the bag size is too small, the sample cannot be contained, and the sample release may reach saturation quickly, and the release amount of the sample cannot be accurately obtained; if the bag size is too large, the release of volatile substances in the sample will be greatly diluted, and the test value will not be accurate. The test parts are tested as original parts, and the bag size is selected as 2000L and 4000L; the size of the suspected hazardous parts is 1m×1m, and the bag size is selected as 1000L.
[0075] In some possible embodiments of the present invention, the step of determining the total amount of harmful substances in the components corresponding to each compartment according to all harmful components corresponding to each compartment specifically includes:
[0076] Obtain the actual hazardous substance test quantity, actual test area and test environment gas volume of suspected hazardous parts;
[0077] Obtain the actual usage area of all suspected harmful parts in the corresponding compartment;
[0078] Determine the corresponding hazardous substance conversion amount of suspected hazardous parts based on the actual hazardous substance test amount, actual test area, test environment gas volume and actual use area;
[0079] Repeat the above steps to obtain the converted amount of hazardous substances in each suspected hazardous component, and obtain the total amount of hazardous substances in the components based on the converted amounts of hazardous substances in all components.
[0080] Specifically, this embodiment provides an implementation method for determining the total amount of harmful substances in the components corresponding to each compartment. By measuring the harmful substances in the suspected harmful components in the compartment, the detection amount of environmental harmful substances in the compartment is corrected, thereby improving the accuracy of management and control.
[0081] In an application scenario, the main release substances (formaldehyde, benzene, toluene, p,m-xylene, o-xylene, ethylbenzene, styrene, ethyl acetate, 2-butanone, methyl methacrylate, trimethylbenzene, n-butanol, propylene glycol methyl ether acetate, octamethylcyclotetrasiloxane) and TVOC in suspected harmful parts are converted. The specific formula is as follows:
[0082]
[0083]
[0084] Where i is the number of the suspected harmful component;
[0085] m i The equivalent amount of hazardous substances in each suspected hazardous component, in mg;
[0086] C 测 The actual test amount of harmful substances in each suspected harmful component, in mg / m 3 ;
[0087] V 充气量 The volume of gas in the bag's test environment when testing each suspected hazardous component, in m 3 ;
[0088] S 总 The actual usage area of each suspected harmful component in different compartments, in m 2 ;
[0089] S 测 is the actual test area of each suspected harmful component, in m 2 ;
[0090] m 物质 It is the total amount of harmful substances in each suspected harmful component in different compartments, in mg.
[0091]
[0092] K is the release ratio of each suspected hazardous component to each substance.
[0093] In some possible embodiments of the present invention, the suspected harmful parts include at least: any one or a combination of floors, wall panels, ceiling panels, partitions and seats.
[0094] Specifically, this embodiment provides an implementation method for suspected harmful components.
[0095] In one application scenario, the suspected harmful component is the floor, and the proportion of each component in the floor in TVOC is analyzed. At room temperature, the top ten substances account for about 95% of the total TVOC content. Except for the floor cloth + aluminum honeycomb floor, the benzene series accounts for about 20% of the VOC released by other floors. The main substances in the four types of floor are ethyl acetate and 2-butanone, and the sum of the two accounts for 68%-85% of the total TVOC. Combined with the previous vehicle air quality data, the floor makes a great contribution to ethyl acetate and 2-butanone in the TVOC in the car, but the contribution of the floor to the whole vehicle also needs to consider the usage of the floor in the car.
[0096] In one application scenario, the suspected harmful parts are wall panels, and the proportion of the main released substances in the wall panels in TVOC is analyzed. The top ten substances in the FRP wall panels account for more than 70% of the TVOC content. There are obvious differences in the substances released by molded and hand-laid FRP wall panels. More than 50% of the hand-laid FRP is methyl methacrylate, and more than 50% of the molded FRP is styrene. The top ten substances of the two types of granite in the 3D honeycomb window wall panels account for more than 90%, and the types of substances released are the same. The largest proportions are propylene glycol methyl ether acetate, 2-butanone, trimethylbenzene and 1,3-dioxolane. The leather-grained window wall panels contain almost no propylene glycol methyl ether acetate and trimethylbenzene, which is mainly related to the production process. The xylene content is the highest in printed aluminum plates, but the total TVOC of printed aluminum plates is only 0.11 mg / m 3 .
[0097] In one application scenario, the suspected harmful component is the top panel, and the proportion of the main substances released from different top panels in TVOC is analyzed. It can be seen that the substances with the largest release in the top panel composition (single-sided corrugated board) + PVC decorative film and the top panel composition (double-sided corrugated board) + PVC decorative film are methyl methacrylate, which is mainly used in synthetic resins, production of paints and coatings or adhesives. In addition, both contain xylene, ethyl acetate and dibutyl ketone. The double-sided corrugated board + PVC decorative film also contains a high content of styrene, while the single-sided corrugated board + PVC decorative film also contains benzene, toluene and n-butanol. These substances are also substances with high content in the air of the whole vehicle.
[0098] The substances with the highest content in aluminum-plastic composite panels (containing fluorocarbon paint) and melamine decorative panels are xylene (p, m-xylene and o-xylene). In addition, both contain ethylbenzene, and aluminum-plastic composite panels (containing fluorocarbon paint) also contain toluene. Judging from the sources of these substances, the VOC release of these two roof panels may mainly come from surface spray painting.
[0099] Substances with higher content in the top plate composition (single-sided corrugated board) + paint samples include propylene glycol methyl ether acetate, styrene, methyl methacrylate, o-ethyl toluene, and ethylene glycol butyl ether acetate. Among them, propylene glycol methyl ether acetate, methyl methacrylate, and ethylene glycol butyl ether acetate are often used in the production of paints or adhesives, or as solvents.
[0100] In one application scenario, the suspected harmful component is a partition, and the proportion of the main substances released by different partitions is analyzed. There are significant differences in the main substances released by different partitions. The main substances released from the aluminum honeycomb partition + PVC decorative film are 2-butanone and methyl methacrylate; the main substances released from the foam partition + PVC decorative film are ethyl acetate and 4-methyl-2-pentanone; the main substances released from the door panel composition (paper honeycomb) are 4-methyl-2-pentanone, butyl acetate, ethyl acetate and 2-butanone. Butyl acetate, ethyl acetate and 2-butanone are mainly used as solvents for paints, coatings or adhesives, and 4-methyl-2-pentanone is usually used as a dye intermediate.
[0101] In one application scenario, the suspected harmful component is a seat. An analysis of the proportion of the main released substances in TVOC of the first-class 2-person seat and the second-class 2-person seat shows that the main released substances of the two types of seats are similar, and the substance with the highest content is cyclohexane.
[0102] In some possible embodiments of the present invention, the step of extracting the correction coefficient according to the first sample feature and the second sample feature specifically includes:
[0103] Obtain the volume parameters of the suspected harmful parts in each carriage;
[0104] Determine the calculated amount of harmful components in the corresponding compartment based on the total amount of harmful substances in the components and volume parameters;
[0105] Determine the correction factor based on the calculated amount of hazardous substances in the parts.
[0106] Specifically, this embodiment provides an implementation method for extracting a correction coefficient. By extracting the correction coefficient, the first sample feature is corrected, thereby improving the accuracy of the in-cabin environment control.
[0107] In an application scenario, the following formula is used to extract the correction coefficient:
[0108] Convert the calculated total amount of the aforementioned substances into the actual volume of the vehicle.
[0109]
[0110] Where: m 物质 Refers to the total amount of harmful substances in the parts of the above substances in different compartments, in mg;
[0111] V 车厢体积 Refers to the volume parameters of different compartments, unit: m 3 ;
[0112] C 计算 It is the calculated amount of hazardous substances in parts.
[0113] In some possible embodiments of the present invention, the step of determining the correction coefficient according to the calculated amount of harmful substances in the component specifically includes:
[0114] Obtain the calculated amount of hazardous substances in the components of each carriage, as well as the corresponding detected amount of environmentally hazardous substances in each carriage;
[0115] Determine the carriage correction factor corresponding to each carriage based on the calculated amount of harmful substances in the parts and the detected amount of harmful substances in the environment;
[0116] Repeat the above steps to obtain the car correction coefficients of all cars, and determine the correction coefficient based on the correction coefficients of all cars.
[0117] Specifically, this embodiment provides an implementation method for determining the correction coefficient, which counts the calculated amount of harmful substances in the carriages and the detected amount of harmful substances in the environment in the entire rail vehicle, and calculates the carriage correction coefficient, thereby realizing the calculation of the correction coefficient for the entire rail vehicle, providing a guarantee for improving the control accuracy of the ambient air quality inside the carriage.
[0118] It should be noted that by simulating parts of the same size and parts of equal proportion, and taking into account the adsorption relationship of parts on harmful substances in the car, the relationship between the release of harmful substances from parts alone and their release in the car environment is verified, and the correction coefficients of the release of harmful substances from parts alone and their release in the car environment are obtained under the simulation conditions of equal proportion parts, so as to improve the control accuracy of the internal environment of the car.
[0119] In an application scenario, the following formula is used to calculate the carriage correction coefficient:
[0120]
[0121] Where: C 计算 Refers to the calculated amount of hazardous substances in the aforementioned suspected hazardous parts in each compartment;
[0122] C 实际 Refers to the amount of environmentally hazardous substances detected in each compartment of each suspected hazardous component in the vehicle;
[0123] x is the correction factor.
[0124] In some possible embodiments of the present invention, the step of determining the verification deviation parameter according to the first sample characteristic and the correction coefficient specifically includes:
[0125] Determine the verification amount of harmful substances in the parts and components of each carriage based on the calculated amount of harmful substances and the correction factor;
[0126] The verification deviation parameters are determined based on the verification quantity of hazardous substances in parts and the detection quantity of hazardous substances in the environment.
[0127] Specifically, this embodiment provides an implementation method for determining the verification deviation parameter, by determining the verification amount of harmful substances in the components of the corresponding compartment through the calculated amount of harmful substances in the compartment and the correction coefficient, and determining the verification deviation parameter based on the verification amount of harmful substances in the components and the detected amount of harmful substances in the environment of the compartment, and then judging whether the deviation of the detected amount of harmful substances in the environment is within a preset deviation threshold range.
[0128] It should be noted that the existing bag method is used to test the harmful substances of each component separately and match it with the harmful substances of the whole vehicle, without considering the mutual influence of the harmful substances released by the components. The present invention sets the suspected harmful components in the test to include floor cloths, wall panels, roof panels, and partitions, and uses the proportion of the application amount of each suspected harmful component in the whole vehicle as a combination component. The bag method is used to test the TVOC content of each component and the combination component separately, and their absolute amounts are calculated respectively. The correction coefficient of the mutual influence of the release of harmful substances from components in the closed space is determined by the ratio of the sum of the TVOC content of each component and the absolute amount of the TVOC content of the combination component, so as to correct the predicted harmful substance content of the whole vehicle, thereby improving the control accuracy of the internal environmental quality of rail vehicles.
[0129] In an application scenario, the deviation between formaldehyde and TVOC and the detected amount of environmentally harmful substances is verified, and the ratio of the calculated amount to the detected amount is averaged to verify the calculated values of formaldehyde and TVOC:
[0130]
[0131] Among them: i refers to each carriage; n refers to the number of carriages.
[0132] C 验算 =C 计算 / x
[0133]
[0134] Among them, Y is the verification deviation parameter.
[0135] In an application scenario, the absolute amount of formaldehyde and TVOC obtained from a single suspected hazardous component and simulation test is calculated based on the following:
[0136] (1) Absolute amount of formaldehyde or TVOC m = C 测试值 ×V 充气量
[0137] Among them, C 测试值 is the actual tested formaldehyde or TVOC concentration;
[0138] V 充气量 Inflate the bag to its original volume, e.g. a 1000L bag would have an inflated volume of 500L.
[0139] For example, the calculated value of the absolute amount of the floor cloth m(floor cloth) is 2.747×0.5=1.374 mg.
[0140] (2) Calculated value of the absolute quantity of a single component when simulating suspected harmful components of the same size:
[0141] m1=m(floor cloth)+m(wall panel)+m(ceiling panel)+m(partition)+m(seat)=2.747×0.5+3.419×0.5+0.545×0.5+3.59×0.5=5.15mg.
[0142] (3) Simulation test value of suspected harmful parts of the same size: m2 = 2.444 × 2 = 4.888 mg.
[0143] (4) Correction coefficient for mutual impact of harmful substance release from enclosed space components: =5.15 / 4.888=1.05.
[0144] In some specific embodiments of the present invention, Figure 2 As shown, the present solution provides a device for processing hazardous substances in rail vehicles, comprising: an acquisition module 10, an extraction module 20, a determination module 30 and a correction module 40;
[0145] The acquisition module 10 is used to acquire a first sample feature and a second sample feature in each carriage, wherein the first sample feature identifies a parameter of a harmful substance in the carriage environment, and the second sample feature identifies a parameter of a harmful substance in each component in the carriage;
[0146] The extraction module 20 is used to extract the correction coefficient according to the first sample feature and the second sample feature;
[0147] The determination module 30 is used to determine the verification deviation parameter according to the first sample characteristics and the correction coefficient;
[0148] The correction module 40 is used to determine whether the verification deviation parameter meets a preset deviation threshold, and correct the first sample feature according to the correction coefficient.
[0149] Optionally, the step of obtaining the first sample feature in each carriage specifically includes:
[0150] N sampling points are set in each carriage, where N is a positive integer greater than or equal to 1;
[0151] Obtain a list of hazardous substances in each carriage, and extract the types of hazardous substances in the list according to the preset collection types;
[0152] The amount of environmentally harmful substances detected in each carriage is collected through N sampling points, and the first sample feature is determined according to all the amounts of environmentally harmful substances detected, wherein the amounts of environmentally harmful substances detected include harmful substance parameters of each type of harmful substance in each carriage.
[0153] Optionally, the step of obtaining the second sample feature in each carriage specifically includes:
[0154] Obtain a list of all parts for each carriage, and extract suspected harmful parts based on the list of all parts;
[0155] According to all suspected harmful parts corresponding to each carriage, the total amount of harmful substances in the parts corresponding to each carriage is determined, and the second sample feature is determined according to the total amount of harmful substances in the parts of each carriage.
[0156] Optionally, the step of determining the total amount of harmful substances in the components corresponding to each compartment according to all harmful components corresponding to each compartment specifically includes:
[0157] Obtain the actual hazardous substance test quantity, actual test area and test environment gas volume of suspected hazardous parts;
[0158] Obtain the actual usage area of all suspected harmful parts in the corresponding compartment;
[0159] Determine the corresponding hazardous substance conversion amount of suspected hazardous parts based on the actual hazardous substance test amount, actual test area, test environment gas volume and actual use area;
[0160] Repeat the above steps to obtain the converted amount of hazardous substances in each suspected hazardous component, and obtain the total amount of hazardous substances in the components based on the converted amounts of hazardous substances in all components.
[0161] Optionally, the suspected harmful parts include at least: any one or a combination of floors, wall panels, ceiling panels, partitions and seats.
[0162] Optionally, the step of extracting the correction coefficient according to the first sample feature and the second sample feature specifically includes:
[0163] Obtain the volume parameters of the suspected harmful parts in each carriage;
[0164] Determine the calculated amount of harmful components in the corresponding compartment based on the total amount of harmful substances in the components and volume parameters;
[0165] Determine the correction factor based on the calculated amount of hazardous substances in the parts.
[0166] Optionally, the step of determining the correction factor according to the calculated amount of hazardous substances in the component specifically includes:
[0167] Obtain the calculated amount of hazardous substances in the components of each carriage, as well as the corresponding detected amount of environmentally hazardous substances in each carriage;
[0168] Determine the carriage correction factor corresponding to each carriage based on the calculated amount of harmful substances in the parts and the detected amount of harmful substances in the environment;
[0169] Repeat the above steps to obtain the car correction coefficients of all cars, and determine the correction coefficient based on the correction coefficients of all cars.
[0170] Optionally, the step of determining the verification deviation parameter according to the first sample characteristic and the correction coefficient specifically includes:
[0171] Determine the verification amount of harmful substances in the parts and components of each carriage based on the calculated amount of harmful substances and the correction factor;
[0172] The verification deviation parameters are determined based on the verification quantity of hazardous substances in parts and the detection quantity of hazardous substances in the environment.
[0173] In some specific embodiments of the present invention, the present solution provides a rail vehicle, which uses the above-mentioned rail vehicle harmful substance treatment method or the above-mentioned rail vehicle harmful substance treatment device when performing harmful substance treatment.
[0174] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.
[0175] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.
[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for treating harmful substances in rail vehicles, characterized in that: The rail vehicle comprises: a plurality of carriages, each of which is provided with a sensor, the sensor being used to detect the parameters of harmful substances in the carriage; The method comprises: Acquire a first sample feature and a second sample feature in each compartment, wherein the first sample feature identifies a parameter of a harmful substance in the compartment environment, and the second sample feature identifies a parameter of a harmful substance in each component in the compartment; Extracting a correction coefficient according to the first sample feature and the second sample feature; Determine a verification deviation parameter according to the first sample characteristic and the correction coefficient; Determining that the verification deviation parameter meets a preset deviation threshold, and correcting the first sample feature according to the correction coefficient; The step of obtaining the first sample feature in each carriage specifically includes: N sampling points are set in each carriage, where N is a positive integer greater than or equal to 1; Obtaining a list of hazardous substances in each carriage, and extracting the types of hazardous substances in the list of hazardous substances according to preset collection types; Collecting the amount of environmentally harmful substances detected in each compartment through the N sampling points, and determining the first sample feature according to all the amount of environmentally harmful substances detected, wherein the amount of environmentally harmful substances detected includes harmful substance parameters of each type of harmful substances in each compartment; The step of obtaining the second sample feature in each carriage specifically includes: Obtaining a list of all parts of each carriage, and extracting suspected harmful parts according to the list of all parts; Determine the total amount of harmful substances in the components corresponding to each carriage according to all the suspected harmful components corresponding to each carriage, and determine the second sample feature according to the total amount of harmful substances in the components of each carriage; The step of extracting the correction coefficient according to the first sample feature and the second sample feature specifically includes: Obtaining volume parameters corresponding to the suspected harmful parts in each carriage; Determining the calculated amount of harmful substances in the components corresponding to the compartment according to the total amount of harmful substances in the components and the volume parameter; Determining the correction factor according to the calculated amount of harmful substances in the component; The step of determining the correction coefficient according to the calculated amount of harmful substances in the component specifically includes: Obtain the calculated amount of harmful substances C of the components in each carriage 计算 , and the amount of environmentally harmful substances detected C corresponding to each carriage 实际 ; According to the calculation amount of hazardous substances in the parts C 计算 and the detected amount of environmentally harmful substances C 实际 Determining a carriage correction factor corresponding to each of the carriages; Repeat the above steps to obtain the carriage correction coefficients of all the carriages, and determine the correction coefficient according to all the carriage correction coefficients; For the calculation of the carriage correction coefficient, the following formula is used: 。 2. The method for treating harmful substances in rail vehicles according to claim 1, characterized in that: The step of determining the total amount of harmful substances in the components corresponding to each carriage according to all the suspected harmful components corresponding to each carriage specifically includes: Obtain the actual test amount of harmful substances, the actual test area and the test environment gas volume of the suspected harmful parts; Obtaining the actual usage area of all the suspected harmful components in the corresponding carriage; Determine the component hazardous substance conversion amount of the corresponding suspected hazardous component according to the actual hazardous substance test amount, the actual test area, the test environment gas amount and the actual use area; Repeat the above steps to obtain the converted amount of harmful substances in the component of each suspected harmful component, and obtain the total amount of harmful substances in the component according to the converted amounts of harmful substances in all the suspected harmful components.
3. The method for treating harmful substances in rail vehicles according to claim 2, characterized in that: The suspected harmful parts include at least: any one or a combination of floors, wall panels, ceiling panels, partitions and seats.
4. The method for treating harmful substances in rail vehicles according to any one of claims 1 to 3, characterized in that: The step of determining the verification deviation parameter according to the first sample feature and the correction coefficient specifically includes: According to the calculated amount of harmful substances in the parts of each carriage C 计算 and the correction factor to determine the calculated amount of hazardous substances in parts C 验算 ; According to the calculated amount of hazardous substances in the parts C 验算 and the detected amount of environmentally harmful substances C 实际 Determining the verification deviation parameter; The calculation of the verification deviation parameter is determined using the following formula: ; Among them: i refers to each carriage; n refers to the number of carriages; ; ; Among them, Y is the verification deviation parameter.
5. A device for treating harmful substances in railway vehicles, characterized in that: include: an acquisition module, an extraction module, a determination module, and a correction module; The acquisition module is used to acquire a first sample feature and a second sample feature in each carriage, wherein the first sample feature identifies a parameter of a harmful substance in the carriage environment, and the second sample feature identifies a parameter of a harmful substance in each component in the carriage; The extraction module is used to extract the correction coefficient according to the first sample feature and the second sample feature; The determination module is used to determine the verification deviation parameter according to the first sample feature and the correction coefficient; The correction module is used to determine that the verification deviation parameter meets the preset deviation threshold, and correct the first sample feature according to the correction coefficient; The step of obtaining the first sample feature in each carriage specifically includes: N sampling points are set in each carriage, where N is a positive integer greater than or equal to 1; Obtaining a list of hazardous substances in each carriage, and extracting the types of hazardous substances in the list of hazardous substances according to preset collection types; Collecting the amount of environmentally harmful substances detected in each compartment through the N sampling points, and determining the first sample feature according to all the amount of environmentally harmful substances detected, wherein the amount of environmentally harmful substances detected includes harmful substance parameters of each type of harmful substances in each compartment; The step of obtaining the second sample feature in each carriage specifically includes: Obtaining a list of all parts of each carriage, and extracting suspected harmful parts according to the list of all parts; Determine the total amount of harmful substances in the components corresponding to each carriage according to all the suspected harmful components corresponding to each carriage, and determine the second sample feature according to the total amount of harmful substances in the components of each carriage; The step of extracting the correction coefficient according to the first sample feature and the second sample feature specifically includes: Obtaining volume parameters corresponding to the suspected harmful parts in each carriage; Determining the calculated amount of harmful substances in the components corresponding to the compartment according to the total amount of harmful substances in the components and the volume parameter; Determining the correction factor according to the calculated amount of harmful substances in the component; The step of determining the correction coefficient according to the calculated amount of harmful substances in the component specifically includes: Obtain the calculated amount of harmful substances C of the components in each carriage 计算 , and the amount of environmentally harmful substances detected C corresponding to each carriage 实际 ; According to the calculation amount of hazardous substances in the parts C 计算 and the detected amount of environmentally harmful substances C 实际 Determining a carriage correction factor corresponding to each of the carriages; Repeat the above steps to obtain the carriage correction coefficients of all the carriages, and determine the correction coefficient according to all the carriage correction coefficients; For the calculation of the carriage correction coefficient, the following formula is used: 。
Citation Information
Patent Citations
In-vehicle temperature control system and control method of railway vehicle and railway vehicle
CN113511228A