A particulate microfilm automatic continuous sampling system
By real-time monitoring and optimization of environmental data from the automatic continuous sampling system for particulate matter microfilms, calculating compensation coefficients and adjusting the sampler design, the adaptability problem of the sampler in harsh environments was solved, and stable sampling under low pressure, low temperature and high wind conditions was achieved.
Patent Information
- Application Number
- CN202510289639.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2026-01-02
- Estimated Expiration
- 2045-03-12
AI Technical Summary
Existing automatic continuous sampling systems for particulate matter microfilms are poorly adaptable to harsh environmental conditions such as low pressure, low temperature and strong wind, resulting in reduced sampling efficiency or inaccurate sampling data.
It employs a continuous sampling module, an environmental data collection module, an environmental data analysis module, and a sampler modification module. It monitors environmental data in real time through sensors, calculates compensation coefficients, and optimizes the airflow, lubrication, and structural design of the sampler to adapt to harsh environments.
Maintaining sampling efficiency and data accuracy under low pressure, low temperature and high wind conditions ensures the stability and reliability of the sampler and improves the reliability of sampling data.
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Figure CN120121359B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of environmental monitoring, in particular to a particulate matter micro-membrane automatic continuous sampling system. BACKGROUND
[0002] In the prior art, one of the major challenges faced by particulate matter micro-membrane automatic continuous sampling systems is their adaptability in harsh environmental conditions. These harsh conditions include low pressure, low temperature, and strong winds, among others. These factors can lead to reduced sampling efficiency or even failure of the sampler. For example, in low-pressure environments, the sampler may have difficulty maintaining normal airflow speed due to the thin air, affecting the collection efficiency of particulate matter. In low-temperature conditions, the mechanical components inside the sampler may malfunction due to icing or poor lubrication. In strong wind conditions, the stability of the sampler may be affected, leading to inaccurate sampling data.
[0003] To address these issues, researchers and engineers are exploring various solutions. For example, by strengthening the design to improve the sampler's ability to withstand harsh environments, and adopting modular design to improve system reliability and versatility. In addition, for specific application environments, in-depth environmental adaptability design is also needed to ensure that the equipment can meet the application indicators in the field or other extreme environments. Through these efforts, future particulate matter micro-membrane automatic continuous sampling systems are expected to provide accurate and reliable monitoring data in a wider range of application scenarios. SUMMARY
[0004] (I) Technical problems solved
[0005] To address the shortcomings of the prior art, the present application provides a particulate matter micro-membrane automatic continuous sampling system, which has the advantage of good adaptability of the sampler in harsh environmental conditions, solving the problem of poor adaptability of the sampler in harsh environmental conditions in the prior art.
[0006] (II) Technical solutions
[0007] To achieve the above-mentioned purpose, the present application provides the following technical solutions: a particulate matter micro-membrane automatic continuous sampling system, comprising a continuous sampling module, an environmental data collection module, an environmental data analysis module, a sampler modification module, and a sampling system control module;
[0008] The continuous sampling module is responsible for the automatic continuous collection of particulate matter, including a sampler main body, a micro-membrane replacement mechanism, and a particulate matter collection unit;
[0009] The environmental data collection module is used to collect real-time data from the air pressure sensor, temperature sensor, wind speed sensor, and wind direction sensor in the environment;
[0010] The environmental data analysis module analyzes and processes the collected environmental data;
[0011] The sampler rectification module rectifies and optimizes the sampler according to the result of the environmental data analysis module;
[0012] The sampling system control module is responsible for the control and coordination of the entire sampling system, including instruction receiving and execution, data transmission and storage, and state monitoring and alarm.
[0013] Preferably, the environmental data collection module includes a low-pressure sensor unit, a low-temperature sensor unit, and a strong wind sensor unit. The low-pressure sensor unit obtains low-pressure environmental data through a pressure transmitter interface and a digital barometer monitor. The low-temperature sensor unit obtains low-temperature environmental data through a temperature sensor and a weather forecast monitor. The strong wind sensor unit obtains strong wind environmental data through a wind speed sensor and a wind direction sensor monitor. The low-pressure sensor unit, low-temperature sensor unit, and strong wind sensor unit connect to the environmental data analysis module through a network after numbering the internal data.
[0014] Preferably, the environmental data analysis module includes a low-pressure compensation coefficient calculation unit, a low-temperature compensation coefficient calculation unit, and a strong wind reduction coefficient calculation unit. The low-pressure compensation coefficient calculation unit calculates the low-pressure compensation coefficient according to the low-pressure environmental data The low-temperature compensation coefficient calculation unit calculates the low-temperature compensation coefficient according to the low-temperature environmental data The strong wind reduction coefficient calculation unit calculates the strong wind reduction coefficient according to the strong wind environmental data The low-pressure compensation coefficient calculation unit, low-temperature compensation coefficient calculation unit, and strong wind reduction coefficient calculation unit are connected to the sampler rectification module through a network.
[0015] Preferably, the low-pressure sensor unit numbers the degree of air thinning in a low-pressure environment according to the characteristics of low-pressure environmental data. The degree of air thinning in a low-pressure environment is numbered as , , , … .
[0016] Preferably, the strong wind sensor unit numbers the wind speed and corresponding wind direction in various severe strong wind environments according to the characteristics of strong wind environmental data. The wind speed in various severe strong wind environments is numbered as , , , … The corresponding wind direction of the wind speed in various severe strong wind environments is numbered as , , , … .
[0017] Preferably, the low-pressure compensation coefficient calculation unit calculates the low-pressure compensation coefficient based on low-pressure environmental data. The calculation formula is as follows:
[0018] ;
[0019] In the formula, Indicates the first The degree of air thinning in a low-pressure environment , , ... This indicates the degree of rarefaction of air under standard atmospheric pressure. Indicates the first The degree of air thinning under standard atmospheric pressure conditions. This indicates the type of low-pressure environment.
[0020] Preferably, the wind reduction coefficient calculation unit calculates the wind reduction coefficient based on wind environment data. The calculation formula is as follows:
[0021] ;
[0022] In the formula, Indicates the first Wind speed in severe wind conditions. This indicates the maximum wind speed under various severe wind conditions. Indicates the first Wind speed and corresponding wind direction in severe wind conditions. , , ... This indicates the reference wind direction corresponding to wind speeds under various severe wind conditions. Indicates the first Reference wind direction corresponding to wind speed in severe wind conditions. This indicates the number of severe windy environments.
[0023] Preferably, the sampler rectification module includes an airflow control unit, a mechanical component unit, and a filter membrane protection unit; the airflow control unit is based on a low-pressure compensation coefficient. Automatically adjust sampling flow rate; mechanical component unit based on low temperature compensation coefficient The heating device automatically adjusts its temperature; the filter membrane protection unit reduces wind pressure based on the coefficient. Automatically adjust the filter membrane fixing structure or automatically add a filter membrane protective cover.
[0024] Compared with the prior art, the particle microfilm automatic continuous sampling system has the following beneficial effects:
[0025] 1、 The low-pressure compensation coefficient calculation unit calculates the low-pressure compensation coefficient according to the air pressure data , and adjusts the airflow speed of the sampler, so that the sampler can maintain normal sampling efficiency in a low-pressure environment, and the sampler can automatically adjust the working frequency of the air suction pump or the opening degree of the valve according to the low-pressure compensation coefficient to maintain constant sampling flow, thereby solving the poor adaptability of the sampler system in a low-pressure environment.
[0026] 2、 The low-temperature compensation coefficient calculation unit calculates the low-temperature compensation coefficient based on temperature data , and by optimizing the lubrication and heating system inside the sampler, the system will automatically adjust the lubricating oil viscosity of the lubrication system and the power of the heating device according to the low-temperature compensation coefficient to maintain the normal operation and lubrication effect of mechanical parts, thereby effectively preventing mechanical parts from being poorly lubricated or frozen due to low temperature, and solving the poor adaptability of the sampler system in a low-temperature environment, and improving the stability of the sampler in a low-temperature environment.
[0027] 3、 The strong wind reduction coefficient calculation unit calculates the strong wind reduction coefficient according to the wind speed and wind direction data to improve the stability of the sampler, and the system will adjust the structural design and filter membrane protection measures of the sampler according to the calculated strong wind reduction coefficient , including increasing the fixing strength of the filter membrane and using more solid materials to resist the influence of strong wind, and optimizing the airflow path design of the sampler to reduce the interference of wind force on the sampling efficiency, the above measures can effectively prevent the filter membrane from being damaged or lost, thereby solving the poor adaptability of the sampler system in a severe strong wind environment, and ensuring the reliability of the sampling data. BRIEF DESCRIPTION OF DRAWINGS
[0028] Figure 1 The structure of the present application is shown in the figure. DETAILED DESCRIPTION
[0029] The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0030] Please refer to Figure 1The application discloses a particulate matter micro-film automatic continuous sampling system, which comprises a continuous sampling module, an environmental data collection module, an environmental data analysis module, a sampler rectification module and a sampling system control module.
[0031] The continuous sampling module is responsible for realizing automatic continuous collection of particulate matters, and comprises a sampler main body, a micro-film replacement mechanism and a particulate matter collection unit; the sampler main body adopts an optimized air flow design, so that particulate matters can be stably collected under different environmental conditions; the micro-film replacement mechanism can automatically replace a sampling film, so as to ensure the continuity and accuracy of sampling; and the particulate matter collection unit is used for collecting and storing collected particulate matter samples, and is convenient for subsequent analysis.
[0032] The environmental data collection module is used for collecting data of an air pressure sensor, a temperature sensor, a wind speed sensor and a wind direction sensor in real time; the air pressure sensor is used for monitoring environmental air pressure, so as to provide a basis for low-pressure compensation; the temperature sensor is used for measuring environmental temperature, so as to provide data support for low-temperature compensation; and the wind speed sensor and the wind direction sensor are used for acquiring wind speed and wind direction information, so as to provide a reference for sampling adjustment under strong wind conditions.
[0033] The environmental data analysis module is used for analyzing and processing collected environmental data.
[0034] The sampler rectification module rectifies and optimizes the sampler according to the result of the environmental data analysis module.
[0035] The sampling system control module is responsible for control and coordination of the whole sampling system, and comprises instruction receiving and execution, data transmission and storage and state monitoring and alarm; the instruction receiving and execution is used for receiving external instructions, controlling starting, stopping and parameter adjustment of the sampler; the data transmission and storage is used for being responsible for transmitting sampling data and environmental data to a storage device and performing storage management; and the state monitoring and alarm is used for monitoring a working state of the sampler in real time, and immediately issuing an alarm signal when an abnormal condition is detected, so as to ensure safe and reliable operation of the sampling system.
[0036] The environmental data collection module comprises a low-pressure sensor unit, a low-temperature sensor unit and a strong wind sensor unit; the low-pressure sensor unit obtains low-pressure environmental data through air pressure transmitter interface and digital air pressure table monitoring; the low-temperature sensor unit obtains low-temperature environmental data through a temperature sensor and weather forecast monitoring; the strong wind sensor unit obtains strong wind environmental data through wind speed sensor and wind direction sensor monitoring; and the low-pressure sensor unit, the low-temperature sensor unit and the strong wind sensor unit are connected with the environmental data analysis module through a network after internal data of the units are numbered.
[0037] The environmental data analysis module comprises a low-pressure compensation coefficient calculation unit, a low-temperature compensation coefficient calculation unit and a strong wind reduction coefficient calculation unit; the low-pressure compensation coefficient calculation unit calculates a low-pressure compensation coefficient according to low-pressure environmental data; the low-temperature compensation coefficient calculation unit calculates a low-temperature compensation coefficient according to low-temperature environmental data; and the strong wind reduction coefficient calculation unit calculates a strong wind reduction coefficient according to strong wind environmental data. The low-temperature compensation coefficient calculation unit calculates a low-temperature compensation coefficient according to low-temperature environment data The strong wind reduction coefficient calculation unit calculates a strong wind reduction coefficient according to strong wind environment data The low-pressure compensation coefficient calculation unit, the low-temperature compensation coefficient calculation unit, and the strong wind reduction coefficient calculation unit are connected with the sampler rectification module through a network.
[0038] The low-pressure sensor unit numbers the air thinness degree in a low-pressure environment according to low-pressure environment data characteristics, and the air thinness degree in a low-pressure environment is numbered as 、 、 , … .
[0039] The strong wind sensor unit numbers the wind speed and corresponding wind direction in various severe strong wind environments according to strong wind environment data characteristics, and the wind speed in various severe strong wind environments is numbered as 、 、 , … The wind direction corresponding to the wind speed in various severe strong wind environments is numbered as 、 、 , … .
[0040] The low-pressure compensation coefficient calculation unit calculates a low-pressure compensation coefficient according to low-pressure environment data , and the calculation formula is:
[0041] ;
[0042] In the formula, represents the air thinness degree in the th low-pressure environment, 、 、 , … represents the air thinness degree in a standard pressure environment, represents the air thinness degree in the th standard pressure environment, represents the low-pressure environment type.
[0043] The advantage is that the low-pressure compensation coefficient calculation unit calculates a low-pressure compensation coefficient according to the air pressure data, The working frequency of the air extraction pump or the opening degree of the valve is automatically adjusted to maintain a constant sampling flow rate, thereby solving the problem of poor adaptability of the sampler system under low pressure environmental conditions.
[0044] The advantage is that the low-temperature compensation coefficient calculation unit calculates the low-temperature compensation coefficient based on temperature data , and by optimizing the lubrication and heating system inside the sampler, the system automatically adjusts the lubricating oil viscosity of the lubrication system and the power of the heating device according to the low-temperature compensation coefficient to maintain the normal operation and lubrication effect of mechanical parts, effectively preventing mechanical parts from being poorly lubricated or frozen due to low temperature, thereby solving the problem of poor adaptability of the sampler system under low temperature environmental conditions and improving the stability of the sampler under low temperature environmental conditions.
[0045] The strong wind reduction coefficient calculation unit calculates the strong wind reduction coefficient according to strong wind environmental data , and the calculation formula is:
[0046] ;
[0047] In the formula, represents the wind speed under the th severe wind environment, represents the maximum wind speed under multiple severe wind environments, which is used to standardize the influence of wind speed, represents the wind direction corresponding to the wind speed under the th severe wind environment, , , , … represents the reference wind direction corresponding to the wind speed under multiple severe wind environments, which is the direction straight ahead of the sampler, represents the reference wind direction corresponding to the wind speed under the th severe wind environment, represents the number of severe wind environments.
[0048] The advantage is that the strong wind reduction coefficient calculation unit calculates the strong wind reduction coefficient according to wind speed and wind direction data to improve the stability of the sampler, and the system adjusts the structural design and filter membrane protection measures of the sampler according to the calculated strong wind reduction coefficient , including increasing the fixing strength of the filter membrane and using more robust materials to resist the influence of strong winds, and optimizing the airflow path design of the sampler to reduce the interference of wind force on the sampling efficiency, which can effectively prevent the filter membrane from being damaged or lost, thereby solving the problem of poor adaptability of the sampler system under severe wind environmental conditions and ensuring the reliability of the sampling data.
[0049] The sampler modification module comprises an air flow control unit, a mechanical component unit and a filter membrane protection unit; the air flow control unit automatically adjusts the sampling flow according to a low pressure compensation coefficient , increases the air tightness during the filter membrane replacement process; the mechanical component unit automatically adjusts the temperature of the heating device according to a low temperature compensation coefficient , prevents poor lubrication or icing of the mechanical components and ensures normal operation of the mechanical components at low temperatures; and the filter membrane protection unit automatically adjusts the filter membrane fixing structure or automatically increases the filter membrane protection cover according to a strong wind reduction coefficient , prevents the filter membrane from being damaged or lost due to strong wind and improves the stability of the filter membrane in harsh environments.
[0050] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.
Claims
1. A particulate matter micro membrane automatic continuous sampling system, characterized in that, The continuous sampling module, the environmental data collection module, the environmental data analysis module, the sampler rectification module and the sampling system control module are included. The continuous sampling module is responsible for realizing automatic continuous collection of particulate matters, including a sampler main body, a microfilm replacement mechanism and a particulate matter collection unit. The environmental data collection module is used for collecting data of air pressure sensors, temperature sensors, wind speed sensors and wind direction sensors in real time. The environmental data analysis module analyzes and processes the collected environmental data. The sampler rectification module rectifies and optimizes the sampler according to the result of the environmental data analysis module. The sampling system control module is responsible for the control and coordination of the whole sampling system, including instruction receiving and execution, data transmission and storage, and state monitoring and alarm. The environmental data collection module includes a low-pressure sensor unit, a low-temperature sensor unit and a strong wind sensor unit. The low-pressure sensor unit obtains low-pressure environmental data through an air pressure transmitter interface and a digital air pressure gauge monitor. The low-temperature sensor unit obtains low-temperature environmental data through a temperature sensor and a weather forecast monitor. The strong wind sensor unit obtains strong wind environmental data through a wind speed sensor and a wind direction sensor monitor. The low-pressure sensor unit, the low-temperature sensor unit and the strong wind sensor unit connect with the environmental data analysis module through the network after numbering the internal data of the units. The environment data analysis module comprises a low-pressure compensation coefficient calculation unit, a low-temperature compensation coefficient calculation unit and a strong wind reduction coefficient calculation unit, the low-pressure compensation coefficient calculation unit calculates a low-pressure compensation coefficient P X according to low-pressure environment data, the low-temperature compensation coefficient calculation unit calculates a low-temperature compensation coefficient T X according to low-temperature environment data, and the strong wind reduction coefficient calculation unit calculates a strong wind reduction coefficient F X according to strong wind environment data, and the low-pressure compensation coefficient calculation unit, the low-temperature compensation coefficient calculation unit and the strong wind reduction coefficient calculation unit are connected with the sampler rectification module through a network. The strong wind sensor unit numbers wind speed and corresponding wind direction under multiple severe strong wind environments according to strong wind environment data characteristics, the wind speed under the multiple severe strong wind environments is numbered as V1, V2, V3, …V n , and the wind direction corresponding to the wind speed under the multiple severe strong wind environments is numbered as d1, d2, d3, …d n . The strong wind reduction coefficient calculating unit calculates the strong wind reduction coefficient F according to the strong wind environment data X The calculation formula is: ; In the formula, V i represents the wind speed under the i-th severe gale environment, V max represents the maximum wind speed under the plurality of severe gale environments, d i represents the wind direction corresponding to the wind speed under the i-th severe gale environment, dl1, dl2, dl3, … dl n represents the reference wind direction corresponding to the wind speed under the plurality of severe gale environments, dl i represents the reference wind direction corresponding to the wind speed under the i-th severe gale environment, and n represents the number of severe gale environments.
2. The particulate matter micro membrane automatic continuous sampling system according to claim 1, characterized in that: The low-pressure sensor unit numbers the thinness of air in a low-pressure environment according to low-pressure environment data characteristics, and the thinness of air in a low-pressure environment is numbered as C1, C2, C3, …C n .
3. The particulate matter micro membrane automatic continuous sampling system according to claim 2, characterized in that: The low-pressure compensation coefficient calculating unit calculates a low-pressure compensation coefficient P according to low-pressure environment data X The calculation formula is: ; In the formula, C i represents the degree of air thinness in the i-th low-pressure environment, Cz1, Cz2, Cz3,... Cz n represents the degree of air thinness in the standard pressure environment, Cz i represents the degree of air thinness in the i-th standard pressure environment, and n represents the kind of low-pressure environment.
4. The particulate matter micro membrane automatic continuous sampling system according to claim 1, characterized in that: The sampler modification module comprises an air flow control unit, a mechanical component unit and a filter membrane protection unit; the air flow control unit automatically adjusts the air flow according to a low pressure compensation coefficient P X ; the mechanical component unit automatically adjusts the temperature of the heating device according to a low temperature compensation coefficient T X ; and the filter membrane protection unit automatically adjusts the filter membrane fixing structure or automatically increases the filter membrane protection cover according to a strong wind reduction coefficient F X .
Citation Information
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