Plateau engine laboratory particulate matter emission monitoring method and system

Abstract

The invention discloses a plateau engine laboratory particulate matter emission monitoring method and system. The method comprises the steps that ventilation and air conditioner starting data and environmental condition data of a plateau engine laboratory, body characteristic data and exposure duration of a bench operator and particulate matter concentration data of the laboratory are obtained; constructing an influence function of gender, age and health condition on the respiratory rate; constructing an influence function of the ventilation condition, the air conditioner starting condition and the environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory; according to the two influence functions, the instantaneous particulate matter emission amount of the plateau engine laboratory and the exposure duration, the final particulate matter exposure amount of the plateau engine laboratory is calculated; determining a safety threshold value of the plateau engine laboratory particulate matter exposure quantity; when the particulate matter exposure amount of the plateau engine laboratory exceeds a safety threshold value, a bench operator is reminded to take related measures to reduce the particulate matter exposure amount.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of engine aftertreatment control, and more particularly relates to a plateau engine laboratory particulate matter emission monitoring method and system. BACKGROUND

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

[0003] When conducting engine bench tests, the bench operators are exposed to PM emitted by the engine for a long time, which seriously affects the health of the bench operators. In addition, the atmospheric pressure decreases and the oxygen content decreases in plateau areas, which seriously affects the respiratory system of the human body.

[0004] Therefore, it is urgent to propose a plateau engine laboratory particulate matter emission monitoring method to reduce the particulate matter exposure of the bench operators and to protect the safety of the bench operators. SUMMARY

[0005] In view of the above defects or improvement needs of the prior art, the present application provides a plateau engine laboratory particulate matter emission monitoring method and system, which comprehensively considers the ventilation condition, air conditioner opening condition, atmospheric pressure and oxygen content of the plateau engine laboratory, as well as the individual difference factors such as gender, age, health condition, breathing frequency and exposure duration of the bench operators, realizes accurate monitoring and evaluation of the particulate matter exposure, can remind the operators to take protective measures in time when the particulate matter exposure exceeds the safety threshold, thereby effectively reducing the particulate matter exposure of the bench operators, reducing the harm to human health, protecting the safety of the operators, improving the experimental safety and work efficiency of the plateau engine laboratory, and having strong practicality and application value.

[0006] In order to achieve the above purpose, one aspect of the present application provides a plateau engine laboratory particulate matter emission monitoring method, comprising the following steps:

[0007] S1, obtaining ventilation and air conditioner opening data, environmental condition data of the plateau engine laboratory, collecting body feature data and exposure duration of the bench operators, and particulate matter concentration data of the laboratory;

[0008] S2, constructing an influence function of gender, age and health condition on breathing frequency according to the body feature data of the bench operators, and calculating the breathing frequency of the bench operators;

[0009] S3, constructing an influence function of ventilation condition, air conditioner opening condition, and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory according to the ventilation and air conditioning opening data and the environmental condition data of the plateau engine laboratory, and calculating the instantaneous particulate matter emission of the plateau engine laboratory;

[0010] S4, calculating the final particulate matter exposure of the plateau engine laboratory according to the influence function of gender, age, and health condition on the respiratory frequency, the influence function of the ventilation condition, the air conditioner opening condition, and the environmental condition data 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;

[0011] S5, determining a safety threshold of the particulate matter exposure of the plateau engine laboratory; comparing the calculated particulate matter exposure of the plateau engine laboratory with the safety threshold, if the particulate matter exposure does not exceed the safety threshold, continuing to monitor, and if the particulate matter exposure exceeds the safety threshold, reminding the bench operator to take relevant measures to reduce the particulate matter exposure.

[0012] Further, the environmental condition data of the plateau engine laboratory in step S1 includes atmospheric pressure and oxygen content; and the body feature data of the bench operator includes gender, age, health condition, and respiratory frequency.

[0013] Further, step S2 includes:

[0014] S21: determining the influencing factors and representation, taking gender G, age A, and health condition H as the main factors affecting the respiratory frequency of the operator, and respectively assigning corresponding numerical representations; wherein the gender is divided into male and female, and respectively represented by 1 and 2; the age is divided into youth, middle age, and old age, and respectively represented by 1, 2, and 3; the health condition is divided into no disease and disease, and respectively represented by 1 and 2;

[0015] S22: fitting the influence function of gender, age, and health condition on the respiratory frequency according to a large amount of experimental data or related research;

[0016] The influence function of gender, age, and health condition on the respiratory frequency in step S22 is represented by formula (1):

[0017] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0018] Wherein, R(G,A,H) is the influence function of gender, age, and health condition on the respiratory frequency; G is the gender; A is the age; H is the health condition; R is the respiratory frequency; r0, r1, r2, and r3 are fitting coefficients, and the specific values thereof are determined by a data regression analysis method;

[0019] S23: Calculate the respiratory rate, and substitute the gender G, age A, and health status H in the collected operator's physical feature data into the function relationship formula of step S22 to calculate the respiratory rate R of the operator; and obtain the respiratory rate value of the operator under the influence of gender, age, and health status in a specific physical condition.

[0020] Further, step S3 includes:

[0021] S31: Determine the influencing factors and representation methods, and take the ventilation condition V, air conditioning opening condition C, atmospheric pressure P, and oxygen content O of the plateau engine laboratory as the main factors affecting the instantaneous particulate matter emission of the plateau engine laboratory, and respectively assign corresponding numerical representations; wherein the ventilation condition is divided into ventilation and no ventilation, and is respectively represented by 1 and 2; the air conditioning opening condition is divided into opening and closing, and is respectively represented by 1 and 2;

[0022] S32: Establish a function relationship formula, and construct an influence function of the ventilation condition, air conditioning opening condition, and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory according to experimental data and related theories;

[0023] The influence function of the ventilation condition, air conditioning opening condition, and environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory is represented by formula (2):

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

[0025] Wherein, E T (V,C,P,O) is the influence function of the ventilation condition, air conditioning opening condition, atmospheric pressure, and oxygen content of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory; V is the ventilation condition; C is the air conditioning opening condition; P is the atmospheric pressure; O is the oxygen content; E T is the instantaneous particulate matter emission of the plateau engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, and their specific values are determined by a data fitting method;

[0026] S34: Calculate the instantaneous particulate matter emission of the plateau engine laboratory, and substitute the collected data of the laboratory ventilation condition V, air conditioning opening condition C, atmospheric pressure P, and oxygen content O into the above function relationship formula (2) to calculate the instantaneous particulate matter emission E T of the plateau engine laboratory; and obtain the initial particulate matter exposure value under the specific environmental conditions of the laboratory, assuming that the respiratory rate of the operator is constant.

[0027] Further, the high altitude engine laboratory particle exposure in step S4 is calculated by formula (3):

[0028]

[0029] Wherein, E is the high altitude engine laboratory particle exposure; T is the exposure duration; E T is the high altitude engine laboratory instantaneous particle emission; E T (V, C, P, O) is the function of the ventilation of the high altitude engine laboratory, the opening of the air conditioner, the atmospheric pressure, and the oxygen content on the high altitude engine laboratory instantaneous particle emission; R(G, A, H) is the function of gender, age, and health status on the respiratory rate; n is a non-zero natural number.

[0030] The second aspect of the present application provides a high altitude engine laboratory particle emission monitoring system for realizing the high altitude engine laboratory particle emission monitoring method, comprising:

[0031] A data acquisition and processing module is configured to acquire the ventilation and air conditioner opening data of the high altitude engine laboratory, the environmental condition data, the body feature data of the bench operator, the exposure duration, and the particle concentration data of the laboratory in real time.

[0032] A respiratory rate influence function construction module is configured to construct the function of gender, age, and health status on the respiratory rate according to the body feature data of the bench operator, and calculate the respiratory rate of the bench operator.

[0033] An instantaneous particle emission influence function construction module is configured to construct the function of the ventilation of the high altitude engine laboratory, the opening of the air conditioner, and the environmental condition data on the high altitude engine laboratory instantaneous particle emission according to the ventilation and air conditioner opening data of the high altitude engine laboratory and the environmental condition data, and calculate the high altitude engine laboratory instantaneous particle emission.

[0034] A particle exposure calculation module is configured to calculate the final high altitude engine laboratory particle exposure according to the function of gender, age, and health status on the respiratory rate, the function of the ventilation of the high altitude engine laboratory, the opening of the air conditioner, and the environmental condition data on the high altitude engine laboratory instantaneous particle emission, the high altitude engine laboratory instantaneous particle emission, and the exposure duration.

[0035] A comparison and reminding module is configured to determine a safety threshold of particulate matter exposure in the high-altitude engine laboratory, compare the calculated particulate matter exposure in the high-altitude engine laboratory with the safety threshold, continue monitoring if the safety threshold is not exceeded, and remind the bench operator to take relevant measures to reduce the particulate matter exposure if the safety threshold is exceeded.

[0036] Further, the body feature data of the bench operator includes gender, age, health condition, and respiratory frequency.

[0037] The influence function of the gender, age, and health condition on the respiratory frequency is represented by formula (1):

[0038] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0039] wherein R(G,A,H) is the influence function of the gender, age, and health condition on the respiratory frequency; G is the gender; A is the age; H is the health condition; R is the respiratory frequency; r0, r1, r2, and r3 are fitting coefficients, and their specific values are determined by a data regression analysis method.

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

[0041] The influence function of the ventilation condition, air conditioner opening condition, and environmental condition data of the high-altitude engine laboratory on the instantaneous particulate matter emission of the high-altitude engine laboratory is represented by formula (2):

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

[0043] wherein E T (V,C,P,O) is the influence function of the ventilation condition, air conditioner opening condition, atmospheric pressure, and oxygen content of the high-altitude engine laboratory on the instantaneous particulate matter emission of the high-altitude engine laboratory; V is the ventilation condition; C is the air conditioner opening condition; P is the atmospheric pressure; O is the oxygen content; E T is the instantaneous particulate matter emission of the high-altitude engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, and their respective specific values are determined by a data fitting method.

[0044] Further, the particulate matter exposure of the high-altitude engine laboratory is calculated by formula (3):

[0045]

[0046] wherein E is the particulate matter exposure of the high-altitude engine laboratory; T is the exposure duration; E TThe plateau engine laboratory instantaneous particulate emission quantity; E T (V,C,P,O) is a function of the ventilation condition, air conditioner opening condition, atmospheric pressure and oxygen content of the plateau engine laboratory on the plateau engine laboratory instantaneous particulate emission quantity; R(G,A,H) is a function of gender, age and health condition on the respiratory frequency; and n is a non-zero natural number.

[0047] A third aspect of the present application provides an electronic device comprising a processor and a memory, the processor and the memory being connected to each other;

[0048] The memory is used for storing a computer program;

[0049] The processor is configured to execute the plateau engine laboratory particulate emission monitoring method when the computer program is called.

[0050] Overall, the above technical solutions conceived by the present application can achieve the following beneficial effects compared with the prior art:

[0051] (1) The plateau engine laboratory particulate emission monitoring method and system of the present application, in view of the problem that the prior art does not fully consider the influence of the ventilation condition, air conditioner opening condition, atmospheric pressure and oxygen content of the plateau engine laboratory, and the gender, age, health condition, respiratory frequency and exposure duration of the laboratory bench operator on the safety of the bench operator, respectively constructs the influence function of gender, age and health condition on respiratory frequency and the influence function of the ventilation condition, air conditioner opening condition and environmental condition data of the plateau engine laboratory on the instantaneous particulate emission quantity of the plateau engine laboratory; calculates the final particulate exposure quantity of the plateau engine laboratory according to the influence function of gender, age and health condition on respiratory frequency, the influence function of the ventilation condition, air conditioner opening condition and environmental condition data of the plateau engine laboratory on the instantaneous particulate emission quantity of the plateau engine laboratory, the instantaneous particulate emission quantity of the plateau engine laboratory and the exposure duration; the present application comprehensively considers the environmental factors such as the ventilation condition, air conditioner opening condition, atmospheric pressure and oxygen content of the plateau engine laboratory, and the individual difference factors such as the gender, age, health condition, respiratory frequency and exposure duration of the laboratory bench operator, accurately monitors the particulate exposure quantity, and timely reminds the operator to take protective measures when the safety threshold is exceeded, effectively reduces the particulate exposure quantity of the bench operator, thereby reducing the harm to the health of the bench operator and ensuring the safety thereof.

[0052] (2) The highland engine laboratory particulate emission monitoring method and system of the present application can better adapt to the special environment of the highland engine laboratory, taking into account the influence of factors such as the decrease in atmospheric pressure and the decrease in oxygen content in the highland area on particulate exposure, making the monitoring results more accurate and reliable, and providing more accurate environmental monitoring and health protection for the experimental process, avoiding the influence of excessive particulate exposure on the normal progress of the experiment, and improving the safety and stability of the experiment.

[0053] (3) The highland engine laboratory particulate emission monitoring method and system of the present application can better adapt to the special environment of the highland engine laboratory, taking into account the influence of factors such as the decrease in atmospheric pressure and the decrease in oxygen content in the highland area on particulate exposure, making the monitoring results more accurate and reliable, and providing more accurate environmental monitoring and health protection for the experimental process, avoiding the influence of excessive particulate exposure on the normal progress of the experiment, and improving the safety and stability of the experiment.

[0054] (4) The highland engine laboratory particulate emission monitoring method and system of the present application can better adapt to the special environment of the highland engine laboratory, taking into account the influence of factors such as the decrease in atmospheric pressure and the decrease in oxygen content in the highland area on particulate exposure, making the monitoring results more accurate and reliable, and providing more accurate environmental monitoring and health protection for the experimental process, avoiding the influence of excessive particulate exposure on the normal progress of the experiment, and improving the safety and stability of the experiment.

[0055] (5) The highland engine laboratory particulate emission monitoring method and system of the present application can better adapt to the special environment of the highland engine laboratory, taking into account the influence of factors such as the decrease in atmospheric pressure and the decrease in oxygen content in the highland area on particulate exposure, making the monitoring results more accurate and reliable, and providing more accurate environmental monitoring and health protection for the experimental process, avoiding the influence of excessive particulate exposure on the normal progress of the experiment, and improving the safety and stability of the experiment. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 The flowchart of a highland engine laboratory particulate emission monitoring method according to an embodiment of the present application is shown in the figure.

[0057] Figure 2 The structure diagram of a highland engine laboratory particulate emission monitoring system according to an embodiment of the present application is shown in the figure.

[0058] Figure 3 The structure diagram of an electronic device according to an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0059] In order to make the objectives, technical solutions and advantages of the present application clearer, further detailed description will be made to the present application in combination with the accompanying drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and not used to limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.

[0060] Embodiment 1

[0061] As shown in the embodiment 1 of the present application, a highland engine laboratory particulate matter emission monitoring method is provided, comprising the following steps: Figure 1

[0062] S1, data acquisition: obtaining the ventilation and air conditioning opening data of the highland engine laboratory, the environmental condition data, the body feature data and exposure duration of the bench operation personnel, and the particulate matter concentration data of the laboratory;

[0063] Further, the obtaining of the ventilation and air conditioning opening data of the highland engine laboratory in step S1 comprises: recording the data of the ventilation and air conditioning opening through the ventilation system sensor and the air conditioning control system in the laboratory; obtaining the ventilation and air conditioning opening state data of the laboratory in the running process, which is used for analyzing the influence of ventilation and air conditioning on the particulate matter exposure; wherein, 1 represents ventilation, 2 represents no ventilation; 1 represents air conditioning opening, and 2 represents closing;

[0064] The environmental condition data of the highland engine laboratory includes atmospheric pressure and oxygen content; the obtaining thereof comprises: using the atmospheric pressure sensor and the oxygen content detector in the laboratory to obtain the data of atmospheric pressure P and oxygen content O in real time; obtaining the environmental parameter data of the laboratory under the highland environment; these parameters will affect the diffusion of particulate matter and the breathing condition of the operation personnel;

[0065] The body feature data of the bench operation personnel includes: gender, age, health condition, and breathing frequency; the obtaining of the body feature data of the bench operation personnel and the exposure duration comprises: conducting basic information investigation on the bench operation personnel to record the gender, age, and health condition thereof; wherein, the gender is divided into male and female, which are represented by 1 and 2 respectively; the age is divided into youth, middle age, and old age, which are represented by 1, 2, and 3 respectively; the health condition is divided into no disease and disease, which are represented by 1 and 2 respectively; at the same time, using the timer or the work record of the operation personnel to count the exposure duration T of the operation personnel in the laboratory, obtaining the basic body feature information of the operation personnel and the work duration data in the laboratory, which are used to evaluate the sensitivity and exposure degree of the operation personnel to the particulate matter;

[0066] ​The acquisition of the particle concentration data of the laboratory comprises: periodically or in real time monitoring the particle concentration in the laboratory by means of a professional particle concentration detection device such as a laser particle counter or a light scattering particle sensor, obtaining the particle concentration basic data in the laboratory, and providing a key parameter for subsequent calculation of the particle exposure amount;

[0067] S2, constructing an influence function of gender, age, and health condition on respiratory frequency according to the body feature data of the gantry operator, and calculating the respiratory frequency of the gantry operator;

[0068] Further, the step S2 comprises:

[0069] S21: determining the influencing factors and representation methods, taking the gender G, the age A, and the health condition H as the main factors influencing the respiratory frequency of the operator, and respectively assigning corresponding numerical representations; wherein,

[0070] The gender is divided into male and female, and is respectively represented by 1 and 2; the age is divided into youth, middle age, and old age, and is respectively represented by 1, 2, and 3; the health condition is divided into no disease and disease, and is respectively represented by 1 and 2;

[0071] S22: fitting an influence function of gender, age, and health condition on respiratory frequency according to a large amount of experimental data or related research;

[0072] The influence function of gender, age, and health condition on respiratory frequency in the step S22 is represented by formula (1):

[0073] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0074] Wherein, R(G,A,H) is the influence function of gender, age, and health condition on respiratory frequency; G is the gender; A is the age; H is the health condition; R is the respiratory frequency; r0, r1, r2, and r3 are fitting coefficients, and the specific values thereof are determined by a data regression analysis method;

[0075] S23: calculating the respiratory frequency, substituting the gender G, the age A, and the health condition H in the collected body feature data of the operator into the function relationship formula of the step S22, and calculating the respiratory frequency R of the operator; obtaining the respiratory frequency value of the operator under the influence of gender, age, and health condition in a specific body condition, and the respiratory frequency will affect the inhalation amount of the particle.

[0076] The influence function of gender, age, and health condition on respiratory frequency constructed by the step S2 preliminarily corrects the difference in particle exposure amount caused by the difference in individual body features, so that the subsequent calculation of the particle exposure amount can be more in line with the actual body condition of different operators;

[0077] S3, constructing an influence function of the ventilation condition, the air conditioner opening condition, and the environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory according to the ventilation and air conditioning opening data and the environmental condition data of the plateau engine laboratory, and calculating the instantaneous particulate matter emission of the plateau engine laboratory;

[0078] Further, the step S3 comprises:

[0079] S31: determining the influencing factors and the representation, taking the ventilation condition V, the air conditioner opening condition C, the atmospheric pressure P, and the oxygen content O of the plateau engine laboratory as the main factors influencing the instantaneous particulate matter emission of the plateau engine laboratory, and respectively giving corresponding numerical representations; wherein the ventilation condition is divided into ventilation and no ventilation, and is respectively represented by 1 and 2; the air conditioner opening condition is divided into opening and closing, and is respectively represented by 1 and 2;

[0080] S32: establishing a function relationship, constructing the influence function of the ventilation condition, the air conditioner opening condition, and the environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory according to the experimental data and related theories;

[0081] The influence function of the ventilation condition, the air conditioner opening condition, and the environmental condition data of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory in the step S32 is represented by formula (2):

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

[0083] Wherein, E T (V,C,P,O) is the influence function of the ventilation condition, the air conditioner opening condition, the atmospheric pressure, and the oxygen content of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory; V is the ventilation condition; C is the air conditioner opening condition; P is the atmospheric pressure; O is the oxygen content; E T is the instantaneous particulate matter emission of the plateau engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, and their specific numerical values are determined by a data fitting method;

[0084] S34: calculating the instantaneous particulate matter emission of the plateau engine laboratory, substituting the collected data of the laboratory ventilation condition V, the air conditioner opening condition C, the atmospheric pressure P, and the oxygen content O into the above function relationship, and calculating the instantaneous particulate matter emission E T of the plateau engine laboratory; obtaining the initial particulate matter exposure value under the specific environmental conditions of the laboratory, assuming that other factors such as the breathing frequency of the operator are unchanged;

[0085] Due to different ventilation conditions, air conditioning opening state and atmospheric pressure and other environmental factors, the particle diffusion, dilution and other conditions in the laboratory will change, thereby affecting the amount of particles actually contacted by the operator. In step S3, the particle emission amount is corrected from the perspective of laboratory environmental factors, so that the calculated instantaneous particle emission amount is more in line with the actual environmental conditions of the laboratory, laying a foundation for more accurately calculating the particle exposure amount subsequently;

[0086] S4, according to the influence function of gender, age, health status on respiratory frequency and the influence function of ventilation condition, air conditioning opening condition, environmental condition data of the plateau engine laboratory on the instantaneous particle emission amount of the plateau engine laboratory, the instantaneous particle emission amount of the plateau engine laboratory and the exposure duration, calculate the final particle exposure amount of the plateau engine laboratory;

[0087] The particle exposure amount of the plateau engine laboratory in step S4 is calculated by formula (3):

[0088]

[0089] Wherein, E is the particle exposure amount of the plateau engine laboratory; T is the exposure duration; E T is the instantaneous particle emission amount of the plateau engine laboratory; E T (V, C, P, O) is the influence function of ventilation condition, air conditioning opening condition, atmospheric pressure and oxygen content on the instantaneous particle emission amount of the plateau engine laboratory; R(G, A, H) is the influence function of gender, age and health status on respiratory frequency; n is a non-zero natural number;

[0090] Step S4 is a key link for integrating and correcting the influence of individual differences of personnel and laboratory environmental factors on particle exposure amount. The influence of personnel physical characteristics and laboratory environmental factors is considered respectively before, and then associated through mathematical formula to obtain a particle exposure amount value considering multiple factors, which realizes comprehensive and accurate reflection of the actual particle exposure of the operator in the plateau engine laboratory;

[0091] S5, determine the safety threshold of the particle exposure amount of the plateau engine laboratory; compare the calculated particle exposure amount of the plateau engine laboratory with the safety threshold, if it does not exceed the safety threshold, continue to monitor; if it exceeds the safety threshold, remind the bench operator to take relevant measures to reduce the particle exposure amount; specifically including:

[0092] A safety threshold E1 of particulate matter exposure in the plateau engine laboratory is determined according to relevant health standards, industry norms and research results on human health, and the threshold represents a limit value that the concentration of particulate matter to which the operator is exposed in the laboratory for a long time should not exceed;

[0093] The calculated particulate matter exposure E in the plateau engine laboratory is compared with the set safety threshold E1 of particulate matter exposure, and it is judged whether E is greater than E1;

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

[0095] If E>E1, the rack operator is reminded to take relevant measures to reduce particulate matter exposure, such as wearing a protective mask, reducing exposure time, improving laboratory ventilation conditions, etc., through an audible and visual alarm device, a prompt information pushed to the operator's smart device (such as a mobile phone, a tablet computer, etc.), a display screen in the laboratory displaying reminder content, etc. This step can ensure that the operator understands the particulate matter exposure risk he faces in time and takes appropriate protective measures to reduce the harm to his health.

[0096] Step S5 embodies the final application purpose of the particulate matter exposure result after the above series of corrections, that is, to accurately judge the health risk degree of the operator through the accurately corrected exposure and to remind him to take appropriate protective measures in time to protect his health.

[0097] The present application gradually realizes the accurate correction of particulate matter exposure by considering the individual difference factors of personnel and the laboratory environment factors in turn and integrating them into the calculation model, so that the finally derived particulate matter exposure can more truly and accurately reflect the actual operation personnel's situation affected by particulate matter in the plateau engine laboratory, thereby providing a strong basis for subsequent protection of the operator's health.

[0098] Example 2

[0099] As shown in Figure 2 , Example 2 of the present application provides a plateau engine laboratory particulate matter emission monitoring system for implementing the above monitoring method, comprising:

[0100] A data acquisition and processing module is used to acquire the ventilation and air conditioning opening data, environmental condition data, body feature data and exposure duration of the rack operator, and particulate matter concentration data of the laboratory in real time.

[0101] A respiration frequency influence function construction module is used to construct an influence function of gender, age and health status on respiration frequency according to the body feature data of the rack operator, and to calculate the respiration frequency of the rack operator.

[0102] a transient particulate emission quantity influence function construction module, configured to construct an influence function of ventilation of the plateau engine laboratory, air conditioner opening, and environmental condition data on the transient particulate emission quantity of the plateau engine laboratory according to the ventilation and air conditioner opening data of the plateau engine laboratory and the environmental condition data, and calculate the transient particulate emission quantity of the plateau engine laboratory;

[0103] a particulate exposure quantity calculation module, configured to calculate the final plateau engine laboratory particulate exposure quantity according to the influence function of gender, age, and health condition on respiratory frequency, the influence function of ventilation of the plateau engine laboratory, air conditioner opening, and environmental condition data on the transient particulate emission quantity of the plateau engine laboratory, the transient particulate emission quantity of the plateau engine laboratory, and the exposure duration;

[0104] a comparison and reminding module, configured to determine a safety threshold of the plateau engine laboratory particulate exposure quantity, compare the calculated plateau engine laboratory particulate exposure quantity with the safety threshold, continue monitoring if the plateau engine laboratory particulate exposure quantity does not exceed the safety threshold, and remind the bench operator to take relevant measures to reduce the particulate exposure quantity if the plateau engine laboratory particulate exposure quantity exceeds the safety threshold.

[0105] Further, the environmental condition data of the plateau engine laboratory includes atmospheric pressure and oxygen content; and the body feature data of the bench operator includes gender, age, health condition, and respiratory frequency.

[0106] The influence function of gender, age, and health condition on respiratory frequency is represented by formula (1):

[0107] R(G,A,H)=r0+r1×G+r2×A+r3×H (1)

[0108] wherein R(G,A,H) is the influence function of gender, age, and health condition on respiratory frequency; G is gender; A is age; H is health condition; R is respiratory frequency; r0, r1, r2, and r3 are fitting coefficients, and their specific values are determined by data regression analysis method.

[0109] The influence function of ventilation of the plateau engine laboratory, air conditioner opening, and environmental condition data on the transient particulate emission quantity of the plateau engine laboratory is represented by formula (2):

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

[0111] wherein E T(V,C,P,O) is the function of the ventilation condition, air conditioning opening condition, atmospheric pressure, and oxygen content of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory; V is the ventilation condition; C is the air conditioning opening condition; P is the atmospheric pressure; and O is the oxygen content; E T is the instantaneous particulate matter emission of the plateau engine laboratory; e0, e1, e2, e3, and e4 are fitting coefficients, and specific numerical values thereof are determined by a data fitting method.

[0112] The particulate matter exposure of the plateau engine laboratory is calculated by formula (3):

[0113]

[0114] wherein, E is the particulate matter exposure of the plateau engine laboratory; T is the exposure duration; E T is the instantaneous particulate matter emission of the plateau engine laboratory; E T (V,C,P,O) is the function of the ventilation condition, air conditioning opening condition, atmospheric pressure, and oxygen content of the plateau engine laboratory on the instantaneous particulate matter emission of the plateau engine laboratory; R(G,A,H) is the function of gender, age, and health condition on the respiratory frequency; and n is a natural number other than 0.

[0115] Further, the interaction process between each module of the high-altitude engine laboratory particulate matter emission monitoring system of the present application is as follows: after the data acquisition processing module obtains data through sensors and detection equipment, the data is transmitted to the data processing module for further processing and analysis; the breathing frequency influence function construction module receives the body characteristic data of the operator transmitted by the data acquisition module, calculates the breathing frequency of the operator by using the fitted breathing frequency influence function, and transmits the breathing frequency to the particulate matter exposure amount calculation module; the instantaneous particulate matter emission amount influence function construction module obtains the laboratory environmental condition data from the data acquisition module, calculates the instantaneous particulate matter emission amount of the high-altitude engine laboratory by using the constructed high-altitude engine laboratory instantaneous particulate matter emission amount influence function, and transmits the instantaneous particulate matter emission amount to the particulate matter exposure amount calculation module; the particulate matter exposure amount calculation module receives the breathing frequency data from the breathing frequency influence function construction module, the high-altitude engine laboratory instantaneous particulate matter emission amount data from the instantaneous particulate matter emission amount influence function construction module, and the exposure duration data collected by the data acquisition module, calculates the final particulate matter exposure amount of the high-altitude engine laboratory, and sends the calculation result to the comparison and reminding module; the comparison and reminding module receives the final particulate matter exposure amount data of the high-altitude engine laboratory transmitted by the particulate matter exposure amount calculation module, compares the data with the predetermined safety threshold of the particulate matter exposure amount of the high-altitude engine laboratory, and when the data exceeds the safety threshold, interacts with the reminding device (such as an audible and visual alarm device, an intelligent device prompting system, a display screen, etc.) of the test bench operator to trigger the reminding function.

[0116] Further, the high-altitude engine laboratory particulate matter emission monitoring system of the present application further comprises a data storage and management module, which stores and manages various types of collected data and intermediate results and final results in the calculation process, so as to query, analyze and optimize the system performance subsequently; the data storage and management module receives data from each module and provides data query and calling services for other modules, for example, provides historical data for the breathing frequency influence function construction module and the instantaneous particulate matter emission amount influence function construction module to optimize the models, etc. Each module of the high-altitude engine laboratory particulate matter emission monitoring system of the present application cooperates with each other to realize real-time monitoring and evaluation of the particulate matter emission of the high-altitude engine laboratory, and to ensure the health and safety of the test bench operator.

[0117] It should be noted that the high-altitude engine laboratory particulate matter emission monitoring system provided in the present embodiment can be a computer program (including program code) running in a computer device, for example, the high-altitude engine laboratory particulate matter emission monitoring system is an application software; the high-altitude engine laboratory particulate matter emission monitoring system can be used to execute the corresponding steps in the above-mentioned method provided by the embodiments of the present application.

[0118] In some possible implementation manners, the high-altitude engine laboratory particulate emission monitoring system provided in the embodiments can be implemented in a combination of hardware and software. For example, the high-altitude engine laboratory particulate emission monitoring system can be a hardware decoding processor programmed to execute the high-altitude engine laboratory particulate emission monitoring method provided in the embodiments. For example, the 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 elements.

[0119] In some possible implementation manners, the high-altitude engine laboratory particulate emission monitoring system provided in the embodiments can be implemented in software. The software can be in the form of programs, plug-ins, and the like, and include a series of modules to implement the high-altitude engine laboratory particulate emission monitoring method provided in the embodiments.

[0120] Embodiment 3

[0121] The embodiment 3 of the present application further provides an electronic device, Figure 3 is a structural schematic diagram of the electronic device of the embodiment, as Figure 3 shown, the electronic device 1000 in the embodiment can include a processor 1001, a network interface 1004, and a memory 1005. In addition, the electronic device 1000 can further include a user interface 1003 and at least one communication bus 1002. The communication bus 1002 is configured to realize connection and communication between the components. The user interface 1003 can include a display screen (Display) and a keyboard (Keyboard). Optionally, the user interface 1003 can further include a standard wired interface and a wireless interface. The network interface 1004 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 can be a high-speed RAM memory or a non-volatile memory such as at least one disk memory. The memory 1005 can optionally be at least one storage device located away from the processor 1001. For example, 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 1 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 is to be understood that the above-described processor 1001 can be a central processing unit (CPU), which can also be referred to as a general-purpose processor, a DSP, an ASIC, an FPGA, or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like. The general-purpose processor can be a microprocessor or any conventional processor, or the like. The memory can include read-only memory (ROM) and random access memory (RAM) that provide instructions and data to the processor. Part of the memory can also include non-volatile random access memory. For example, the memory can also store device type information.

[0129] In specific implementations, the electronic device 1000 can perform the implementation manners provided by each of the above steps through various functional modules built therein, and specific implementation manners can be referred to the implementation manners provided by each of the above steps, which will not be described here. Figure 1

[0130] Embodiment 4

[0131] The embodiment 4 of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method provided by each of the above steps. Specific implementation manners can be referred to the implementation manners provided by each of the above steps, which will not be described here. ​

[0132] Any reference to memory, storage, database, or other medium used in the embodiments of the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0133] Those skilled in the art can easily understand that the above description is only a preferred embodiment of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, and improvement within the spirit and principle of the present application shall be included in the protection scope of the present application.​​

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.

2. The method for monitoring particulate matter emissions from a high-altitude engine laboratory according to claim 1, characterized in that: 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 bench operator includes: gender, age, health status, and respiratory rate.

3. The method for monitoring particulate matter emissions from a high-altitude engine laboratory according to claim 2, characterized in that: Step S2 includes: 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. 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; In step S22, the effect of gender, age, and health status on respiratory rate is expressed by equation (1): R(G,A,H)=r0+r1×G+r2×A+r3×H(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; R is respiratory rate; r0, r1, r2, and r3 are fitting coefficients, whose specific values ​​are determined by 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.

4. The method for monitoring particulate matter emissions from a high-altitude engine laboratory according to claim 3, characterized in that: 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): E T (V, C, P, O) = e0 + e1 × V + e2 × C + e3 × P + e4 × O (2) where, 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. 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.

5. The method for monitoring particulate matter emissions from a high-altitude engine laboratory according to claim 1, characterized in that: The particulate matter exposure in the high-altitude engine laboratory mentioned in step S4 is calculated using equation (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.

6. A particulate matter emission monitoring system for a high-altitude engine laboratory, characterized in that, For implementing the monitoring method as described in any one of claims 1-5, comprising: 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.

7. The particulate matter emission monitoring system for a high-altitude engine laboratory according to claim 6, characterized in that, 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): R(G,A,H)=r0+r1×G+r2×A+r3×H(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; R is respiratory rate; r0, r1, r2, and r3 are fitting coefficients, whose specific values ​​are determined by data regression analysis.

8. The particulate matter emission monitoring system for a high-altitude engine laboratory according to claim 7, characterized in that, 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): E T (V,C,P,O)=e0+e1×V+e2×C+e3×P+e4×O(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 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.

9. The particulate matter emission monitoring system for a high-altitude engine laboratory according to claim 8, characterized in that, The particulate matter exposure level in the high-altitude engine laboratory is calculated using equation (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.

10. 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 any one of claims 1 to 5 when the computer program is invoked.

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