Plateau engine laboratory particulate matter emission monitoring method and system

Abstract

The application discloses a kind of plateau engine laboratory particulate matter emission monitoring method and system, method includes obtaining plateau engine laboratory ventilation and air conditioning opening data, environmental condition data, the body feature data of bench operator and exposure duration and the particulate matter concentration data of laboratory;The influence function of gender, age, health condition on respiratory rate is constructed;The influence function of ventilation of plateau engine laboratory, air conditioning opening situation, environmental condition data on the instantaneous particulate matter emission of plateau engine laboratory is constructed;According to the above two influence functions, the instantaneous particulate matter emission of plateau engine laboratory and exposure duration, the final particulate matter exposure of plateau engine laboratory is calculated;The safety threshold of the particulate matter exposure of plateau engine laboratory is determined;When the particulate matter exposure of plateau engine laboratory exceeds safety threshold, remind bench operator to take relevant measures to reduce particulate matter exposure.

Description

Technical Field

[0001] This invention belongs to the field of engine aftertreatment control technology, and more specifically, relates to a method and system for monitoring particulate matter emissions from a high-altitude engine laboratory. Background Technology

[0002] An engine is a device that converts the chemical energy of fuel into mechanical energy and is widely used in transportation, navigation, aerospace and other fields. However, its pollutant emissions have a huge impact on human health, especially particulate matter (PM) emissions.

[0003] During engine bench testing, bench operators are exposed to PM emissions from the engine for extended periods, which seriously affects their health. Furthermore, the lower atmospheric pressure and reduced oxygen levels in high-altitude areas severely impact the respiratory system.

[0004] Therefore, there is an urgent need to develop a method for monitoring particulate matter emissions from high-altitude engine laboratories to reduce particulate matter exposure for test bench operators and ensure their safety. Summary of the Invention

[0005] To address the aforementioned deficiencies or improvement needs of existing technologies, this invention provides a method and system for monitoring particulate matter emissions in high-altitude engine laboratories. By comprehensively considering environmental factors such as ventilation, air conditioning operation, atmospheric pressure, and oxygen content in the high-altitude engine laboratory, as well as individual differences such as the gender, age, health status, respiratory rate, and exposure duration of the test bench operators, it achieves accurate monitoring and assessment of particulate matter exposure. It can promptly alert operators to take protective measures when particulate matter exposure exceeds a safe threshold, thereby effectively reducing particulate matter exposure for test bench operators, minimizing harm to human health, ensuring operator safety, and improving experimental safety and work efficiency in high-altitude engine laboratories. It has strong practicality and application value.

[0006] To achieve the above objectives, one aspect of the present invention provides a method for monitoring particulate matter emissions from a high-altitude engine laboratory, comprising the following steps:

[0007] S1. Obtain ventilation and air conditioning operation data, environmental condition data, physical characteristic data and exposure duration of bench operators, and particulate matter concentration data of the high-altitude engine laboratory.

[0008] S2. Construct a function to show the influence of gender, age, and health status on respiratory rate based on the physical characteristic data of the bench operator, and calculate the respiratory rate of the bench operator;

[0009] S3. Based on the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory, construct the influence function of the ventilation, air conditioning operation, and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, and calculate the instantaneous particulate matter emission of the plateau engine laboratory.

[0010] S4. Based on the influence function of gender, age, and health status on respiratory rate, the influence function of ventilation, air conditioning status, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, the instantaneous particulate matter emission of the plateau engine laboratory, and the exposure duration, calculate the final particulate matter exposure amount of the plateau engine laboratory.

[0011] S5. Determine the safe threshold for particulate matter exposure in the high-altitude engine laboratory; compare the calculated particulate matter exposure in the high-altitude engine laboratory with the safe threshold. If the safe threshold is not exceeded, continue monitoring; if the safe threshold is exceeded, remind the bench operator to take relevant measures to reduce particulate matter exposure.

[0012] Furthermore, the environmental condition data of the plateau engine laboratory mentioned in step S1 includes atmospheric pressure and oxygen content; the physical characteristic data of the test bench operator includes: gender, age, health status, and respiratory rate.

[0013] Further, step S2 includes:

[0014] S21: Determine the influencing factors and their representation. Gender (G), age (A), and health status (H) are the three main factors affecting the operator's respiratory rate, and assign corresponding numerical values ​​to them. Among them, gender is divided into male and female, represented by 1 and 2 respectively; age is divided into youth, middle age, and old age, represented by 1, 2, and 3 respectively; and health status is divided into no disease and disease, represented by 1 and 2 respectively.

[0015] S22: Based on a large amount of experimental data or related research, fit the influence function of gender, age, and health status on respiratory rate;

[0016] In step S22, the effect of gender, age, and health status on respiratory rate is expressed by equation (1):

[0017] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0018] Where R(G,A,H) is the function of the influence of gender, age, and health status on respiratory rate; G is gender; A is age; H is health status; R is respiratory rate; r0, r1, r2, and r3 are fitting coefficients, whose specific values ​​are determined by data regression analysis.

[0019] S23: Calculate the respiratory rate. Substitute the gender (G), age (A), and health status (H) from the collected physical characteristic data of the operator into the functional relationship in step S22 to calculate the operator's respiratory rate (R). Obtain the respiratory rate value of the operator under specific physical conditions affected by gender, age, and health status.

[0020] Further, step S3 includes:

[0021] S31: Determine the influencing factors and their representation methods. The ventilation status (V), air conditioning status (C), atmospheric pressure (P), and oxygen content (O) of the plateau engine laboratory are identified as the main factors affecting the instantaneous particulate matter emissions of the plateau engine laboratory, and are assigned corresponding numerical values. Ventilation status is divided into ventilated and non-ventilated, represented by 1 and 2 respectively; air conditioning status is divided into on and off, represented by 1 and 2 respectively.

[0022] S32: Establish a functional relationship and, based on experimental data and relevant theories, construct a function to determine the impact of ventilation, air conditioning operation, and environmental conditions on the instantaneous particulate matter emissions of the plateau engine laboratory.

[0023] The influence function of the ventilation, air conditioning operation, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emissions of the plateau engine laboratory is expressed by equation (2):

[0024] E T (V,C,P,O)=e0+e1×V+e2×C+e3×P+e4×O (2)

[0025] Among them, E T (V,C,P,O) represents the effect function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the high-altitude engine laboratory; V is the ventilation condition; C is the air conditioning operation; P is the atmospheric pressure; O is the oxygen content; E T E0 represents the instantaneous particulate matter emissions from the high-altitude engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, whose specific values ​​were determined through data fitting methods.

[0026] S34: To calculate the instantaneous particulate matter emissions from the high-altitude engine laboratory, the collected data on laboratory ventilation (V), air conditioning operation (C), atmospheric pressure (P), and oxygen content (O) are substituted into the above functional relationship (2) to calculate the instantaneous particulate matter emissions E from the high-altitude engine laboratory. T The initial particulate matter exposure values ​​were obtained under specific laboratory environmental conditions, assuming that the operator's breathing rate remained constant.

[0027] Furthermore, the particulate matter exposure amount in the high-altitude engine laboratory mentioned in step S4 is calculated using equation (3):

[0028]

[0029] Where E represents the particulate matter exposure level in the high-altitude engine laboratory; T represents the exposure duration; E T E represents the instantaneous particulate matter emissions from the high-altitude engine laboratory. T (V,C,P,O) represents the influence function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the plateau engine laboratory; R(G,A,H) represents the influence function of gender, age, and health status on respiratory rate; n is a non-zero natural number.

[0030] A second aspect of the present invention provides a particulate matter emission monitoring system for a high-altitude engine laboratory, used to implement the aforementioned particulate matter emission monitoring method for a high-altitude engine laboratory, comprising:

[0031] The data acquisition and processing module is used to collect real-time data on ventilation and air conditioning operation, environmental conditions, physical characteristics and exposure duration of the test bench operators, and particulate matter concentration in the high-altitude engine laboratory.

[0032] The respiratory rate influence function construction module is used to construct the influence function of gender, age, and health status on respiratory rate based on the physical characteristic data of the bench operator, and to calculate the respiratory rate of the bench operator;

[0033] The instantaneous particulate matter emission influence function construction module is used to construct the influence function of the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory based on the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory, and to calculate the instantaneous particulate matter emission of the plateau engine laboratory.

[0034] The particulate matter exposure calculation module calculates the final particulate matter exposure of the plateau engine laboratory based on the influence function of the gender, age, and health status on respiratory rate, the influence function of the ventilation, air conditioning status, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, the instantaneous particulate matter emission of the plateau engine laboratory, and the exposure duration.

[0035] The comparison and alert module is used to determine the safe threshold for particulate matter exposure in the high-altitude engine laboratory; it compares the calculated particulate matter exposure in the high-altitude engine laboratory with the safe threshold; if the exposure does not exceed the safe threshold, monitoring continues; if the exposure exceeds the safe threshold, it alerts the bench operator to take relevant measures to reduce particulate matter exposure.

[0036] Furthermore, the physical characteristics data of the platform operator include: gender, age, health status, and respiratory rate;

[0037] The influence function of gender, age, and health status on respiratory rate is expressed by equation (1):

[0038] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0039] Where R(G,A,H) is the function of the influence of gender, age, and health status on respiratory rate; G is gender; A is age; H is health status; R is respiratory rate; r0, r1, r2, and r3 are fitting coefficients, whose specific values ​​are determined by data regression analysis.

[0040] Furthermore, the environmental condition data of the high-altitude engine laboratory includes atmospheric pressure and oxygen content;

[0041] The influence function of the ventilation, air conditioning operation, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emissions of the plateau engine laboratory is expressed by equation (2):

[0042] E T (V,C,P,O)=e0+e1×V+e2×C+e3×P+e4×0 (2)

[0043] Among them, E T (V,C,P,O) represents the effect function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the high-altitude engine laboratory; V is the ventilation condition; C is the air conditioning operation; P is the atmospheric pressure; O is the oxygen content; E T E0 represents the instantaneous particulate matter emissions from the high-altitude engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, whose specific values ​​are determined through data fitting methods.

[0044] Furthermore, the particulate matter exposure level in the high-altitude engine laboratory is calculated using equation (3):

[0045]

[0046] Where E represents the particulate matter exposure level in the high-altitude engine laboratory; T represents the exposure duration; E TE represents the instantaneous particulate matter emissions from the high-altitude engine laboratory. T (V,C,P,O) represents the influence function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the plateau engine laboratory; R(G,A,H) represents the influence function of gender, age, and health status on respiratory rate; n is a non-zero natural number.

[0047] A third aspect of the present invention provides an electronic device including a processor and a memory interconnected thereto;

[0048] The memory is used to store computer programs;

[0049] The processor is configured to execute the high-altitude engine laboratory particulate matter emission monitoring method when the computer program is invoked.

[0050] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects:

[0051] (1) The particulate matter emission monitoring method and system for high-altitude engine laboratories of the present invention addresses the problem that existing technologies do not fully consider the safety impacts of ventilation conditions, air conditioning operation, atmospheric pressure and oxygen content in high-altitude engine laboratories, as well as the gender, age, health status, respiratory rate, and exposure duration of laboratory bench operators. It constructs functions for the influence of gender, age, and health status on respiratory rate, and functions for the influence of ventilation conditions, air conditioning operation, and environmental conditions in high-altitude engine laboratories on instantaneous particulate matter emissions in high-altitude engine laboratories. Based on these functions, the method further constructs functions for the influence of gender, age, and health status on respiratory rate, and functions for the influence of ventilation conditions, air conditioning operation, and environmental conditions in high-altitude engine laboratories on instantaneous particulate matter emissions. This invention utilizes a function to measure the impact of environmental conditions on the instantaneous particulate matter emissions of a high-altitude engine laboratory, along with the instantaneous particulate matter emissions and exposure duration, to calculate the final particulate matter exposure level in the high-altitude engine laboratory. It comprehensively considers environmental factors such as ventilation, air conditioning operation, atmospheric pressure, and oxygen content in the high-altitude engine laboratory, as well as individual differences among laboratory bench operators, including gender, age, health status, respiratory rate, and exposure duration. This allows for accurate monitoring of particulate matter exposure levels and timely alerts operators to take protective measures when safety thresholds are exceeded, effectively reducing particulate matter exposure and thus minimizing health risks and ensuring safety.

[0052] (2) The particulate matter emission monitoring method and system of the plateau engine laboratory of the present invention can better adapt to the special environment of the plateau engine laboratory compared with the prior art. It takes into account the impact of factors such as the decrease in atmospheric pressure and oxygen content in the plateau area on particulate matter exposure, making the monitoring results more accurate and reliable. It can provide more precise environmental monitoring and health protection for the experimental process, avoid the normal conduct of the experiment due to excessive particulate matter exposure, and improve the safety and stability of the experiment.

[0053] (3) The plateau engine laboratory particulate matter emission monitoring method and system of the present invention monitors particulate matter exposure in real time and promptly reminds operators to take measures, reducing personnel health problems and possible work interruptions caused by excessive particulate matter exposure, enabling bench operators to work in a healthier and safer environment, thereby improving work efficiency, ensuring the smooth progress of experiments and the timely completion of tasks.

[0054] (4) The plateau engine laboratory particulate matter emission monitoring method and system of the present invention comprehensively considers the individual differences of operators, constructs the respiratory frequency influence function and particulate matter exposure calculation model, and can conduct personalized assessment of the particulate matter exposure of each operator, meeting the health monitoring needs of different personnel in different environments. However, the existing technology may lack this personalized assessment capability.

[0055] (5) The particulate matter emission monitoring method and system of the plateau engine laboratory of the present invention has strong practicality and versatility. It can be widely used in engine laboratories in plateau areas and other similar high-pollution, low-oxygen environments for health monitoring and safety management. It is of great significance for protecting the health of staff and ensuring safe production of enterprises, and has good prospects for promotion and application. Attached Figure Description

[0056] Figure 1 This is a schematic flowchart of a method for monitoring particulate matter emissions from a high-altitude engine laboratory according to an embodiment of the present invention;

[0057] Figure 2 This is a schematic diagram of the structure of a particulate matter emission monitoring system for a high-altitude engine laboratory according to an embodiment of the present invention;

[0058] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0060] Example 1

[0061] like Figure 1 As shown, Embodiment 1 of the present invention provides a method for monitoring particulate matter emissions from a high-altitude engine laboratory, comprising the following steps:

[0062] S1. Data Acquisition: Acquire data on ventilation and air conditioning operation in the high-altitude engine laboratory, environmental conditions, physical characteristics and exposure duration of bench operators, and particulate matter concentration in the laboratory.

[0063] Furthermore, the acquisition of ventilation and air conditioning operation data in the plateau engine laboratory in step S1 includes: recording ventilation and air conditioning operation data through ventilation system sensors and air conditioning control system in the laboratory; obtaining ventilation and air conditioning operation status data during laboratory operation for subsequent analysis of the impact of ventilation and air conditioning on particulate matter exposure; wherein, 1 indicates ventilation and 2 indicates no ventilation; 1 indicates air conditioning on and 2 indicates air conditioning off.

[0064] The environmental condition data of the high-altitude engine laboratory includes atmospheric pressure and oxygen content; its acquisition includes: using atmospheric pressure sensors and oxygen content detectors in the laboratory to acquire real-time data on atmospheric pressure P and oxygen content O; obtaining environmental parameter data of the laboratory under high-altitude conditions; these parameters affect the diffusion of particulate matter and the breathing of operators;

[0065] The physical characteristics data of the benchtop operators include: gender, age, health status, and respiratory rate. The acquisition of the physical characteristics data and exposure duration of the benchtop operators includes: conducting a basic information survey of the benchtop operators, recording their gender, age, and health status; where gender is divided into male and female, represented by 1 and 2 respectively; age is divided into young, middle-aged, and elderly, represented by 1, 2, and 3 respectively; and health status is divided into no disease and diseased, represented by 1 and 2 respectively. Simultaneously, using a timer or the operator's work record, the exposure duration T of the operator in the laboratory is calculated to obtain the operator's basic physical characteristics information and working time data in the laboratory, which is used to assess their sensitivity and exposure level to particulate matter.

[0066] The acquisition of particulate matter concentration data in the laboratory includes: using professional particulate matter concentration detection equipment, such as laser particle counters or light scattering particulate matter sensors, to monitor the particulate matter concentration in the laboratory regularly or in real time, and obtain basic data on particulate matter concentration in the laboratory, providing key parameters for subsequent calculation of particulate matter exposure.

[0067] S2. Construct a function to show the influence of gender, age, and health status on respiratory rate based on the physical characteristic data of the bench operator, and calculate the respiratory rate of the bench operator;

[0068] Further, step S2 includes:

[0069] S21: Determine the influencing factors and their representation. Gender (G), age (A), and health status (H) are identified as the three main factors affecting the operator's respiratory rate, and each is assigned a corresponding numerical value.

[0070] Gender is divided into male and female, represented by 1 and 2 respectively; age is divided into youth, middle age and old age, represented by 1, 2 and 3 respectively; health status is divided into no disease and disease, represented by 1 and 2 respectively.

[0071] S22: Based on a large amount of experimental data or related research, fit the function of the influence of gender, age, and health status on respiratory rate;

[0072] In step S22, the effect of gender, age, and health status on respiratory rate is expressed by equation (1):

[0073] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0074] Where R(G,A,H) is the function of the influence of gender, age, and health status on respiratory rate; G is gender; A is age; H is health status; R is respiratory rate; r0, r1, r2, and r3 are fitting coefficients, whose specific values ​​are determined by data regression analysis.

[0075] S23: Calculate the respiratory rate. Substitute the gender (G), age (A), and health status (H) from the collected physical characteristic data of the operator into the functional relationship in step S22 to calculate the operator's respiratory rate (R). Obtain the respiratory rate value of the operator under specific physical conditions affected by gender, age, and health status. The respiratory rate will affect the amount of particulate matter inhaled.

[0076] The influence function of gender, age, and health status on respiratory rate constructed in step S2 was used to make a preliminary correction to the differences in particulate matter exposure caused by individual physical characteristics, so that the subsequent calculation of particulate matter exposure can better reflect the actual physical condition of different operators.

[0077] S3. Based on the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory, construct the influence function of the ventilation, air conditioning operation, and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, and calculate the instantaneous particulate matter emission of the plateau engine laboratory.

[0078] Further, step S3 includes:

[0079] S31: Determine the influencing factors and their representation methods. The ventilation status (V), air conditioning status (C), atmospheric pressure (P), and oxygen content (O) of the plateau engine laboratory are identified as the main factors affecting the instantaneous particulate matter emissions of the plateau engine laboratory, and are assigned corresponding numerical values. Ventilation status is divided into ventilated and non-ventilated, represented by 1 and 2 respectively; air conditioning status is divided into on and off, represented by 1 and 2 respectively.

[0080] S32: Establish a functional relationship and, based on experimental data and relevant theories, construct a function to determine the impact of ventilation, air conditioning operation, and environmental conditions on the instantaneous particulate matter emissions of the plateau engine laboratory.

[0081] The influence function of ventilation, air conditioning operation, and environmental conditions data of the plateau engine laboratory on the instantaneous particulate matter emissions in step S32 is expressed by equation (2):

[0082] E T (V,C,P,0)=e0+e1×V+e2×C+e3×P+e4×0 (2)

[0083] Among them, E T (V,C,P,O) represents the effect function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the high-altitude engine laboratory; V is the ventilation condition; C is the air conditioning operation; P is the atmospheric pressure; O is the oxygen content; E T E0 represents the instantaneous particulate matter emissions from the high-altitude engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, whose specific values ​​were determined through data fitting methods.

[0084] S34: Calculate the instantaneous particulate matter emissions from the high-altitude engine laboratory. Substitute the collected data on laboratory ventilation (V), air conditioning operation (C), atmospheric pressure (P), and oxygen content (O) into the above functional relationship to calculate the instantaneous particulate matter emissions E from the high-altitude engine laboratory. T ; To obtain the initial particulate matter exposure value under specific laboratory environmental conditions, assuming that the operator's breathing rate and other factors remain unchanged;

[0085] Different ventilation conditions, air conditioning status, and atmospheric pressure can alter the diffusion and dilution of particulate matter in the laboratory, thus affecting the actual amount of particulate matter that operators are exposed to. Step S3 corrects the particulate matter emission from the perspective of laboratory environmental factors, making the calculated instantaneous particulate matter emission more consistent with the actual environmental conditions of the laboratory, laying the foundation for more accurate calculation of particulate matter exposure levels in the future.

[0086] S4. Calculate the final particulate matter exposure amount of the plateau engine laboratory based on the influence function of the gender, age, and health status on respiratory rate, the influence function of the ventilation, air conditioning status, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emission amount of the plateau engine laboratory, the instantaneous particulate matter emission amount of the plateau engine laboratory, and the exposure duration.

[0087] The particulate matter exposure in the high-altitude engine laboratory mentioned in step S4 is calculated using equation (3):

[0088]

[0089] Where E represents the particulate matter exposure level in the high-altitude engine laboratory; T represents the exposure duration; E T E represents the instantaneous particulate matter emissions from the high-altitude engine laboratory. T (V,C,P,O) represents the influence function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the plateau engine laboratory; R(G,A,H) represents the influence function of gender, age, and health status on respiratory rate; n is a non-zero natural number.

[0090] Step S4 is a key step in integrating and correcting the impact of individual differences and laboratory environmental factors on particulate matter exposure. It connects the previously considered effects of personnel physical characteristics and laboratory environmental factors through mathematical formulas to obtain a particulate matter exposure value that comprehensively considers multiple factors and corrects for them. This achieves a comprehensive and accurate reflection of the actual particulate matter exposure of operators in the high-altitude engine laboratory.

[0091] S5. Determine the safe threshold for particulate matter exposure in the high-altitude engine laboratory; compare the calculated particulate matter exposure in the high-altitude engine laboratory with the safe threshold. If the exposure does not exceed the safe threshold, continue monitoring; if the exposure exceeds the safe threshold, remind the test bench operator to take relevant measures to reduce particulate matter exposure; specifically including:

[0092] Based on relevant health standards, industry norms, and research findings on human health, a safe threshold E1 for particulate matter exposure in high-altitude engine laboratories was determined. This threshold represents the limit that operators should not exceed when exposed to particulate matter concentrations in the laboratory over a long period of time.

[0093] The calculated particulate matter exposure level E in the high-altitude engine laboratory is compared with the set particulate matter exposure safety threshold E1 to determine whether E is greater than E1.

[0094] If the safety threshold is not exceeded, continue monitoring;

[0095] If E > E1, the system will alert operators to take measures to reduce particulate matter exposure through audible and visual alarms, push notifications to operators' smart devices (such as mobile phones and tablets), and display reminders on screens within the laboratory. These measures include wearing protective masks, reducing exposure time, and improving laboratory ventilation. This step ensures operators are aware of their particulate matter exposure risks and take appropriate protective measures to minimize harm to their health.

[0096] Step S5 embodies the ultimate application purpose of the particulate matter exposure results after the above series of corrections, namely, to accurately determine the degree of health risk faced by operators through accurate correction of exposure levels, and to promptly remind them to take appropriate protective measures to ensure the health of operators.

[0097] This invention, by sequentially considering individual differences among personnel and laboratory environmental factors and integrating them into the calculation model, gradually achieves precise correction of particulate matter exposure levels. This results in particulate matter exposure levels that more realistically and accurately reflect the impact of particulate matter on actual operators in high-altitude engine laboratories, thus providing a strong basis for subsequent protection of operators' health.

[0098] Example 2

[0099] like Figure 2 As shown, Embodiment 2 of the present invention provides a particulate matter emission monitoring system for a high-altitude engine laboratory, used to implement the above-mentioned monitoring method, comprising:

[0100] The data acquisition and processing module is used to collect real-time data on ventilation and air conditioning operation, environmental conditions, physical characteristics and exposure duration of the test bench operators, and particulate matter concentration in the high-altitude engine laboratory.

[0101] The respiratory rate influence function construction module is used to construct the influence function of gender, age, and health status on respiratory rate based on the physical characteristic data of the bench operator, and to calculate the respiratory rate of the bench operator;

[0102] The instantaneous particulate matter emission influence function construction module is used to construct the influence function of the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory based on the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory, and to calculate the instantaneous particulate matter emission of the plateau engine laboratory.

[0103] The particulate matter exposure calculation module calculates the final particulate matter exposure of the plateau engine laboratory based on the influence function of the gender, age, and health status on respiratory rate, the influence function of the ventilation, air conditioning status, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, the instantaneous particulate matter emission of the plateau engine laboratory, and the exposure duration.

[0104] The comparison and alert module is used to determine the safe threshold for particulate matter exposure in the high-altitude engine laboratory; it compares the calculated particulate matter exposure in the high-altitude engine laboratory with the safe threshold; if the exposure does not exceed the safe threshold, monitoring continues; if the exposure exceeds the safe threshold, it alerts the bench operator to take relevant measures to reduce particulate matter exposure.

[0105] Furthermore, the environmental condition data of the high-altitude engine laboratory includes atmospheric pressure and oxygen content; the physical characteristic data of the test bench operators includes: gender, age, health status, and respiratory rate.

[0106] The influence function of gender, age, and health status on respiratory rate is expressed by equation (1):

[0107] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0108] Where R(G,A,H) is the function of the influence of gender, age, and health status on respiratory rate; G is gender; A is age; H is health status; R is respiratory rate; r0, r1, r2, and r3 are fitting coefficients, whose specific values ​​are determined by data regression analysis.

[0109] The influence function of the ventilation, air conditioning operation, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emissions of the plateau engine laboratory is expressed by equation (2):

[0110] E T (V,C,P,O)=e0+e1×V+e2×C+e3×P+e4×0 (2)

[0111] Among them, E T(V,C,P,O) represents the effect function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the high-altitude engine laboratory; V is the ventilation condition; C is the air conditioning operation; P is the atmospheric pressure; O is the oxygen content; E T E0 represents the instantaneous particulate matter emissions from the high-altitude engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, whose specific values ​​are determined through data fitting methods.

[0112] The particulate matter exposure level in the high-altitude engine laboratory is calculated using equation (3):

[0113]

[0114] Where E represents the particulate matter exposure level in the high-altitude engine laboratory; T represents the exposure duration; E T E represents the instantaneous particulate matter emissions from the high-altitude engine laboratory. T (V,C,P,O) represents the influence function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the plateau engine laboratory; R(G,A,H) represents the influence function of gender, age, and health status on respiratory rate; n is a non-zero natural number.

[0115] Furthermore, the interaction process between the various modules of the plateau engine laboratory particulate matter emission monitoring system of the present invention is as follows: The data acquisition and processing module acquires data through sensors and detection equipment, and then transmits it to the data processing module for further processing and analysis; the respiratory rate influence function construction module receives the operator's physical characteristic data from the data acquisition module, calculates the operator's respiratory rate using the fitted respiratory rate influence function, and transmits it to the particulate matter exposure calculation module; the instantaneous particulate matter emission influence function construction module acquires laboratory environmental condition data from the data acquisition module, calculates the instantaneous particulate matter emission of the plateau engine laboratory using the constructed instantaneous particulate matter emission influence function of the plateau engine laboratory, and transmits it to the particulate matter exposure meter. The particulate matter exposure calculation module receives respiratory rate data from the respiratory rate influence function construction module and instantaneous particulate matter emission data from the instantaneous particulate matter emission influence function construction module, as well as exposure duration data collected by the data acquisition module. It calculates the final particulate matter exposure level for the high-altitude engine laboratory and sends the calculation result to the comparison and alert module. The comparison and alert module receives the final particulate matter exposure level data from the particulate matter exposure calculation module and compares it with a pre-determined safety threshold for particulate matter exposure in the high-altitude engine laboratory. When the safety threshold is exceeded, it interacts with the alerting device for the test bench operator (such as an audible and visual alarm device, intelligent device prompting system, display screen, etc.) to trigger the alert function.

[0116] Furthermore, the high-altitude engine laboratory particulate matter emission monitoring system of the present invention also includes a data storage and management module. This module stores and manages various collected data, as well as intermediate and final results from the calculation process, for subsequent querying, analysis, and optimization of system performance. It receives data from various modules and provides data query and retrieval services to other modules, such as providing historical data for the respiratory rate influence function construction module and the instantaneous particulate matter emission influence function construction module for model optimization. The various modules of the high-altitude engine laboratory particulate matter emission monitoring system of the present invention cooperate to achieve real-time monitoring and assessment of particulate matter emissions from the high-altitude engine laboratory, ensuring the health and safety of the test bench operators.

[0117] It should be noted that the high-altitude engine laboratory particulate emission monitoring system provided in this embodiment can be a computer program (including program code) running on a computer device, such as an application software; the high-altitude engine laboratory particulate emission monitoring system can be used to execute the corresponding steps in the above-described method provided in this embodiment of the invention.

[0118] In some feasible implementations, the particulate matter emission monitoring system for the high-altitude engine laboratory provided in this embodiment can be implemented using a combination of hardware and software. As an example, the particulate matter emission monitoring system for the high-altitude engine laboratory provided in this embodiment can be a processor in the form of a hardware decoding processor, which is programmed to execute the particulate matter emission monitoring method for the high-altitude engine laboratory provided in this embodiment. For example, the processor in the form of a hardware decoding processor can be one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.

[0119] In some feasible implementations, the particulate matter emission monitoring system for the high-altitude engine laboratory provided in this embodiment can be implemented in software, which can be software in the form of programs and plug-ins, and includes a series of modules to implement the particulate matter emission monitoring method for the high-altitude engine laboratory provided in this embodiment of the invention.

[0120] Example 3

[0121] Embodiment 3 of the present invention also provides an electronic device, Figure 3 This is a schematic diagram of the electronic device in this embodiment, as shown below. Figure 3 As shown, the electronic device 1000 in this embodiment may include: a processor 1001, a network interface 1004, and a memory 1005. Furthermore, the electronic device 1000 may also include: a user interface 1003, and at least one communication bus 1002. The communication bus 1002 is used to implement communication between these components. The user interface 1003 may include a display screen and a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. Optionally, the memory 1005 may also be at least one storage device located remotely from the aforementioned processor 1001. Figure 3As shown, the memory 1005, which is a computer-readable storage medium, may include an operating system, a network communication module, a user interface module, and a device control application.

[0122] like Figure 3 In the illustrated electronic device 1000, the network interface 1004 provides network communication functionality; the user interface 1003 is primarily used to provide an input interface for the user; and the processor 1001 can be used to call the device control application stored in the memory 1005 to achieve:

[0123] Acquire data on ventilation and air conditioning operation, environmental conditions, physical characteristics and exposure duration of bench operators, and particulate matter concentration in the high-altitude engine laboratory;

[0124] Based on the physical characteristic data of the benchtop operator, construct a function to assess the influence of gender, age, and health status on respiratory rate, and calculate the respiratory rate of the benchtop operator.

[0125] Based on the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory, an influence function of the ventilation, air conditioning operation, and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory is constructed, and the instantaneous particulate matter emission of the plateau engine laboratory is calculated.

[0126] The final particulate matter exposure level of the plateau engine laboratory is calculated based on the influence function of gender, age, and health status on respiratory rate, the influence function of ventilation, air conditioning status, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, the instantaneous particulate matter emission of the plateau engine laboratory, and the exposure duration.

[0127] Determine the safe threshold for particulate matter exposure in the high-altitude engine laboratory; compare the calculated particulate matter exposure in the high-altitude engine laboratory with the safe threshold. If the exposure does not exceed the safe threshold, continue monitoring; if the exposure exceeds the safe threshold, remind the test bench operator to take relevant measures to reduce particulate matter exposure.

[0128] It should be understood that in some feasible implementations, the processor 1001 described above may be a central processing unit (CPU), which may also be other general-purpose processors, DSPs, ASICs, FPGAs, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The memory may include read-only memory and random access memory, and provides instructions and data to the processor. A portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.

[0129] In specific implementation, the aforementioned electronic device 1000 can perform the above-described actions through its built-in functional modules. Figure 1 The implementation methods provided for each step are detailed in the above-mentioned implementation methods and will not be repeated here.

[0130] Example 4

[0131] Embodiment 4 of the present invention also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement... Figure 1 The methods provided in each step are detailed in the implementation methods provided in the above steps, and will not be repeated here.

[0132] Any references to memory, storage, database, or other media used in the embodiments provided in this invention may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0133] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for monitoring particulate matter emissions from a high-altitude engine laboratory, characterized in that: Includes the following steps: S1. Obtain ventilation and air conditioning operation data, environmental condition data, physical characteristic data and exposure duration of bench operators, and particulate matter concentration data of the high-altitude engine laboratory. S2. Construct a function to show the influence of gender, age, and health status on respiratory rate based on the physical characteristic data of the bench operator, and calculate the respiratory rate of the bench operator; S3. Based on the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory, construct the influence function of the ventilation, air conditioning operation, and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, and calculate the instantaneous particulate matter emission of the plateau engine laboratory. S4. Based on the influence function of gender, age, and health status on respiratory rate, the influence function of ventilation, air conditioning status, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, the instantaneous particulate matter emission of the plateau engine laboratory, and the exposure duration, calculate the final particulate matter exposure amount of the plateau engine laboratory. S5. Determine the safe threshold for particulate matter exposure in the high-altitude engine laboratory; compare the calculated particulate matter exposure in the high-altitude engine laboratory with the safe threshold. If the safe threshold is not exceeded, continue monitoring. If the safety threshold is exceeded, the bench operator will be reminded to take relevant measures to reduce particulate matter exposure. The environmental condition data for the high-altitude engine laboratory mentioned in step S1 include atmospheric pressure and oxygen content; The physical characteristics data of the bench operator include: gender, age, health status, and respiratory rate; Step S2 includes: S21: Determine the influencing factors and their representation. Gender (G), age (A), and health status (H) are identified as the main factors affecting the operator's respiratory rate, and each is assigned a corresponding numerical value. Gender is divided into male and female, represented by 1 and 2 respectively; age is divided into youth, middle-aged, and elderly, represented by 1, 2, and 3 respectively; and health status is divided into no disease and diseased, represented by 1 and 2 respectively. S22: Based on a large amount of experimental data or related research, fit a function to the influence of gender, age, and health status on respiratory rate; In step S22, the effect of gender, age, and health status on respiratory rate is expressed by equation (1): （1） Where R(G,A,H) is the function of the influence of gender, age, and health status on respiratory rate; G is gender; A is age; H is health status; and R is respiratory rate. The fitting coefficient is determined using data regression analysis. S23: Calculate the respiratory rate. Substitute the gender (G), age (A), and health status (H) from the collected physical characteristic data of the operator into the functional relationship in step S22 to calculate the operator's respiratory rate (R). Obtain the respiratory rate value of the operator under specific physical conditions affected by gender, age, and health status. Step S3 includes: S31: Determine the influencing factors and their representation methods. The ventilation status (V), air conditioning status (C), atmospheric pressure (P), and oxygen content (O) of the plateau engine laboratory are identified as the main factors affecting the instantaneous particulate matter emissions of the plateau engine laboratory, and are assigned corresponding numerical values. Ventilation status is divided into ventilated and non-ventilated, represented by 1 and 2 respectively; air conditioning status is divided into on and off, represented by 1 and 2 respectively. S32: Establish a functional relationship and, based on experimental data and relevant theories, construct a function to determine the impact of ventilation, air conditioning operation, and environmental conditions on the instantaneous particulate matter emissions of the plateau engine laboratory. The influence function of the ventilation, air conditioning operation, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emissions of the plateau engine laboratory is expressed by equation (2): （2） Among them, E T (V,C,P,O) represents the effect function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the high-altitude engine laboratory; V is the ventilation condition; C is the air conditioning operation; P is the atmospheric pressure; O is the oxygen content; E T This refers to the instantaneous particulate matter emissions from the high-altitude engine laboratory. These are the fitting coefficients, and their specific values ​​are determined through data fitting methods. S33: Calculate the instantaneous particulate matter emissions from the high-altitude engine laboratory. Substitute the collected data on laboratory ventilation (V), air conditioning operation (C), atmospheric pressure (P), and oxygen content (O) into the above functional relationship (2) to calculate the instantaneous particulate matter emissions E from the high-altitude engine laboratory. T ; Obtain the initial particulate matter exposure value under specific laboratory environmental conditions, assuming the operator's breathing rate remains constant; The particulate matter exposure in the high-altitude engine laboratory mentioned in step S4 is calculated using equation (3): （3） Where E represents the particulate matter exposure level in the high-altitude engine laboratory; T represents the exposure duration; E T E represents the instantaneous particulate matter emissions from the high-altitude engine laboratory. T (V,C,P,O) represents the influence function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the plateau engine laboratory; R(G,A,H) represents the influence function of gender, age, and health status on respiratory rate; n is a non-zero natural number.

2. A particulate matter emission monitoring system for a high-altitude engine laboratory, characterized in that, To implement the monitoring method as described in claim 1, the method includes: The data acquisition and processing module is used to collect real-time data on ventilation and air conditioning operation, environmental conditions, physical characteristics and exposure duration of the test bench operators, and particulate matter concentration in the high-altitude engine laboratory. The respiratory rate influence function construction module is used to construct the influence function of gender, age, and health status on respiratory rate based on the physical characteristic data of the bench operator, and to calculate the respiratory rate of the bench operator; The instantaneous particulate matter emission influence function construction module is used to construct the influence function of the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory based on the ventilation and air conditioning operation data and environmental condition data of the plateau engine laboratory, and to calculate the instantaneous particulate matter emission of the plateau engine laboratory. The particulate matter exposure calculation module calculates the final particulate matter exposure of the plateau engine laboratory based on the influence function of the gender, age, and health status on respiratory rate, the influence function of the ventilation, air conditioning status, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory, the instantaneous particulate matter emission of the plateau engine laboratory, and the exposure duration. The comparison and alert module is used to determine the safe threshold for particulate matter exposure in the high-altitude engine laboratory; it compares the calculated particulate matter exposure in the high-altitude engine laboratory with the safe threshold; if the exposure does not exceed the safe threshold, monitoring continues; if the exposure exceeds the safe threshold, it alerts the bench operator to take relevant measures to reduce particulate matter exposure. The physical characteristics data of the bench operator include: gender, age, health status, and respiratory rate; The influence function of gender, age, and health status on respiratory rate is expressed by equation (1): （1） Where R(G,A,H) is the function of the influence of gender, age, and health status on respiratory rate; G is gender; A is age; H is health status; and R is respiratory rate. The fitting coefficient is determined using data regression analysis. The environmental condition data for the high-altitude engine laboratory include atmospheric pressure and oxygen content; The influence function of the ventilation, air conditioning operation, and environmental conditions of the plateau engine laboratory on the instantaneous particulate matter emissions of the plateau engine laboratory is expressed by equation (2): （2） Among them, E T (V,C,P,O) represents the effect function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the high-altitude engine laboratory; V is the ventilation condition; C is the air conditioning operation; P is the atmospheric pressure; O is the oxygen content; E T This refers to the instantaneous particulate matter emissions from the high-altitude engine laboratory. These are the fitting coefficients, and their specific values ​​are determined through data fitting methods. The particulate matter exposure level in the high-altitude engine laboratory is calculated using equation (3): （3） Where E represents the particulate matter exposure level in the high-altitude engine laboratory; T represents the exposure duration; E T E represents the instantaneous particulate matter emissions from the high-altitude engine laboratory. T (V,C,P,O) represents the influence function of ventilation, air conditioning operation, atmospheric pressure, and oxygen content on the instantaneous particulate matter emissions of the plateau engine laboratory; R(G,A,H) represents the influence function of gender, age, and health status on respiratory rate; n is a non-zero natural number.

3. An electronic device, characterized in that, It includes a processor and a memory, which are interconnected; The memory is used to store computer programs; The processor is configured to execute the particulate matter emission monitoring method for a high-altitude engine laboratory as described in claim 1 when the computer program is invoked.

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