Laboratory intelligent environment monitoring system

Abstract

The invention discloses a laboratory intelligent environment monitoring system, which comprises a sensor arrangement unit, a data acquisition unit, a data transmission unit, a data storage unit and a data processing unit, and belongs to the technical field of environment monitoring. The system can collect multi-source data of personnel heat, equipment heating power, equipment volume and air velocity in real time, comprehensively analyzes the influence of each factor on temperature by using an intelligent algorithm, and effectively corrects errors caused by direct measurement. Meanwhile, the system adopts a weighted average method to fuse multi-sensor data, so that the space error is further reduced, and the accuracy of a monitoring result is ensured. Besides, the system can automatically adjust the temperature according to the monitoring result, keep the laboratory environment stable, and realize instant alarm and processing of abnormal conditions through remote monitoring, so that the intelligent level and the response speed of laboratory environment management are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and more specifically discloses an intelligent laboratory environmental monitoring system. Background Art

[0002] The laboratory environment is like the cornerstone of scientific research experiments, playing a crucial and irreplaceable role in the progress of scientific research experiments and the accuracy of results. In the journey of scientific research exploration, the laboratory is the main battlefield for scientific researchers, and the quality of the laboratory environment is directly related to whether the scientific research experiment can be carried out smoothly and the accuracy of the final result. A stable and suitable laboratory environment can provide a solid guarantee for scientific research experiments. From the perspective of temperature, many experiments have strict requirements for temperature.

[0003] In traditional environmental temperature monitoring methods, direct measurement mainly relies on temperature sensors. However, due to the complex internal environment of the laboratory, there are various factors affecting temperature, such as the activities of laboratory staff, the operating power, volume of electrical equipment, and air flow rate inside the laboratory. These factors will cause uneven temperature distribution inside the laboratory, resulting in errors in the environmental temperature results directly measured by temperature sensors. Especially in large laboratories, this error may be more significant because the layout and quantity of temperature sensors often cannot cover the entire laboratory space, leading to the monitoring results being unable to truly reflect the actual environmental temperature of the laboratory. Summary of the Invention

[0004] Object of the Invention: The object of the present invention is to solve the problem that due to the complex internal environment of the laboratory and the existence of various factors affecting temperature, the temperature distribution inside the laboratory is uneven, resulting in errors in the environmental temperature results directly measured by temperature sensors.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, an intelligent laboratory environmental monitoring system includes: a sensor layout unit, a data acquisition unit, a data transmission unit, a data storage unit, and a data processing unit;

[0006] Sensor Layout Unit: Used to layout multiple temperature sensors inside the laboratory to monitor the internal temperature of the laboratory in real time;

[0007] Data Acquisition Unit: Used to collect in real time the heat emitted by laboratory staff, the heating power, volume of electrical equipment, and air flow rate information data inside the laboratory during the temperature detection of the laboratory;

[0008] Data Transmission Unit: Used to transmit the information data collected by the data acquisition unit through the RS-485 type data transmission method;

[0009] Data storage unit: used to store the information data transmitted by the data transmission unit;

[0010] Data processing unit: used to obtain and analyze the information data stored in the data storage unit. During the analysis process, first analyze the impact of the activities of the internal staff in the laboratory on the ambient temperature, then analyze the impact of the electrical equipment operating in the laboratory on the ambient temperature, and finally, based on multiple factors affecting the internal ambient temperature of the laboratory, comprehensively correct the directly measured laboratory ambient temperature by the temperature sensor, and then use the weighted average method for multiple temperature sensor data to obtain the accurate laboratory ambient temperature. After that, forward the obtained processing and analysis results to the remote monitoring unit, and at the same time compare the processing and analysis results with the preset standard laboratory temperature threshold range, and issue a control instruction to the intelligent regulation unit according to the comparison result.

[0011] Furthermore, the data acquisition unit includes: a personnel heat acquisition module, an equipment heat generation acquisition module, an equipment volume acquisition module, and an air flow velocity acquisition module;

[0012] Personnel heat acquisition module: used to collect in real time the heat information data emitted by the internal staff in the laboratory through infrared imaging technology;

[0013] Equipment heat generation acquisition module: used to collect in real time the heat generation power information data of the electrical equipment in the laboratory;

[0014] Equipment volume acquisition module: used to collect in real time the volume information data of the electrical equipment in the laboratory through camera recognition technology;

[0015] Air flow velocity acquisition module: used to collect in real time the air flow velocity information data in the laboratory through a wind speed measuring instrument.

[0016] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, a result forwarding module, and a signal issuing module;

[0017] Data acquisition module: used to obtain in real time the information data stored in the data storage unit;

[0018] Analysis and judgment module: used to perform intelligent processing and analysis on the information data obtained by the data acquisition module through formula algorithms, and obtain the processing and analysis results;

[0019] Result forwarding module: used to forward the results processed and analyzed by the analysis and judgment module to the remote monitoring unit;

[0020] Signal issuing module: used to issue a regulation instruction signal to the intelligent regulation unit according to the analysis and judgment results when the analysis and judgment results of the analysis and judgment module are abnormal.

[0021] Further, the environmental monitoring system further includes: an intelligent regulation unit and a remote monitoring unit. The intelligent regulation unit includes: a signal receiving module and a temperature control module;

[0022] Signal receiving module: used to receive in real time the regulation instruction signals sent by the signal sending module;

[0023] Temperature control module: used to regulate the temperature set by the temperature regulation equipment inside the laboratory, so as to realize the regulation of the laboratory environmental temperature.

[0024] Further, the remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module;

[0025] Data receiving module: used to receive in real time the information data stored in the data storage unit and the analysis result information of the data processing unit;

[0026] Data display module: used to display the information data received by the data receiving module on the control terminal display screen of the laboratory environmental temperature monitoring background;

[0027] Abnormal alarm module: used to send an alarm prompt to the control terminal of the laboratory environmental temperature monitoring background when the result obtained by the analysis and judgment module is an abnormal result.

[0028] Further, the analysis and judgment module can obtain the heat information data emitted by the laboratory internal staff from the data acquisition module, and analyze the personnel influence index through the above-obtained data:

[0029]

[0030] Among them, E p is the personnel influence index, ρ is the density of laboratory staff, n is the number of laboratory internal staff, Q i is the heat dissipation per body surface of the i-th laboratory staff, V lab is the volume of the laboratory.

[0031] Further, the analysis and judgment module can obtain the heating power and volume information data of the laboratory internal electrical equipment from the data acquisition module, and analyze the equipment influence index through the above-obtained data:

[0032]

[0033] Among them, E e is the equipment influence index, N is the number of laboratory internal electrical equipment, P j is the heating power of the j-th electrical equipment, is the volume of the j-th electrical device, V lab is the laboratory volume, and ΔT is the change coefficient of the influence of the electrical device on temperature.

[0034] Furthermore, the analysis and judgment module can obtain the data of the air flow velocity information inside the laboratory from the data acquisition module, and obtain the corrected laboratory ambient temperature of the laboratory ambient temperature directly measured by the temperature sensor through the above-obtained data analysis:

[0035]

[0036] Then, the weighted average method is used to fuse the temperature sensor array data to reduce the spatial error:

[0037]

[0038] If T avg ∈[T e -δ, T e +δ], it means that the current laboratory temperature is within the standard laboratory temperature threshold range, and no control instruction needs to be issued to the intelligent control unit. Among them, T is the corrected temperature, T raw is the temperature of the temperature sensor before correction, E p is the personnel influence index, E e is the equipment influence index, time is the information data acquisition duration, v k is the air flow velocity inside the laboratory, α is the weight coefficient of the influence of personnel activities on temperature, β is the weight coefficient of the influence of electrical equipment on temperature, γ is the weight coefficient of the influence of air flow on temperature, is the temperature comprehensive conversion coefficient, T avg is the laboratory ambient temperature, M is the number of temperature sensors deployed inside the laboratory, T g is the corrected temperature of the g-th temperature sensor after temperature correction, μ g is the weight coefficient of the g-th temperature sensor.

[0039] The beneficial effects of an intelligent laboratory environment monitoring system of the present invention are as follows: By integrating multi-dimensional data acquisition and intelligent analysis modules, precise monitoring and control of the laboratory environment temperature are achieved. The system can collect multi-source data of human heat, equipment heating power, equipment volume, and air flow rate in real time, and comprehensively analyze the influence of various factors on temperature using intelligent algorithms, effectively correcting the errors caused by direct measurement. At the same time, the system uses the weighted average method to fuse multi-sensor data, further reducing the spatial error and ensuring the accuracy of the monitoring results. In addition, the system can automatically adjust the temperature according to the monitoring results, keep the laboratory environment stable, and achieve instant alarm and processing of abnormal situations through remote monitoring, significantly improving the intelligent level and response speed of laboratory environment management, and providing a strong guarantee for the smooth progress of scientific research experiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described in detail below with reference to the drawings and specific implementation methods.

[0041] Figure 1 It is a schematic diagram of the system principle. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The present invention will be described in detail below with reference to the drawings and embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0043] According to one aspect of the present invention, as Figure 1 shown, an intelligent laboratory environment monitoring system is provided. First, a plurality of temperature sensors are arranged inside the laboratory through the sensor layout unit to monitor the temperature inside the laboratory in real time. Then, through the human heat acquisition module, equipment heat acquisition module, equipment volume acquisition module, and air flow rate acquisition module in the data acquisition unit, the heat emitted by the staff inside the laboratory, the heating power, volume, and air flow rate information data of the electrical equipment inside the laboratory are collected in real time.

[0044] Then, the data transmission unit uses the RS-485 data transmission method to transmit the information data collected by the data acquisition unit. It uses standard twisted pair as the transmission medium, does not require additional shielding or protection measures, has strong anti-interference ability, effectively avoids external interference, and causes errors in the monitoring of the temperature data inside the laboratory. Then, the data storage unit stores the information data transmitted by the data transmission unit.

[0045] Then, through the data acquisition module in the data processing unit, the information data is obtained from the data storage unit. Further, the obtained information data is processed and analyzed by the analysis and judgment module.

[0046] Afterwards, when the result analyzed and judged by the analysis and judgment module shows an abnormal situation, the abnormal alarm module will be triggered to send an alarm to the laboratory environmental temperature monitoring background control terminal, and a regulation instruction signal will be sent to the intelligent regulation unit according to the result of the analysis and judgment to intelligently regulate the temperature set by the temperature regulation equipment inside the laboratory.

[0047] The data receiving module in the remote monitoring unit can receive in real time the information data stored in the data storage unit and the analysis results of the data processing unit, and display the received information data on the display screen of the laboratory environmental temperature monitoring background control terminal through the data display module.

[0048] The analysis and judgment module can obtain the heat information data emitted by the internal staff of the laboratory from the data acquisition module, and obtain the personnel influence index through the analysis of the above-obtained data:

[0049]

[0050] Among them, E p is the personnel influence index, ρ is the density of laboratory staff, n is the number of internal staff in the laboratory, Q i is the heat dissipation on the body surface of the i-th laboratory staff, V lab is the volume of the laboratory.

[0051] The analysis and judgment module can obtain the heating power and volume information data of the electrical equipment inside the laboratory from the data acquisition module, and obtain the equipment influence index through the analysis of the above-obtained data:

[0052]

[0053] Among them, E e is the equipment influence index, N is the number of electrical equipment inside the laboratory, P j is the heating power of the j-th electrical equipment, is the volume of the j-th electrical equipment, V lab is the volume of the laboratory, and ΔT is the change coefficient of the influence of electrical equipment on temperature.

[0054] The analysis and judgment module can obtain the air flow velocity information data inside the laboratory from the data acquisition module, and obtain the laboratory environmental temperature after correcting the laboratory environmental temperature directly measured by the temperature sensor through the analysis of the above-obtained data:

[0055]

[0056] Then, the weighted average method is used to fuse the data of the temperature sensor array to reduce the spatial error:

[0057]

[0058] If T avg ∈[T e -δ, T e +δ], it indicates that the current laboratory temperature is within the range of the standard laboratory temperature threshold, and there is no need to issue a control instruction to the intelligent control unit. If T avg <T e -δ, it indicates that the current laboratory temperature is lower than the lower limit of the standard laboratory temperature threshold, and a control instruction will be issued to the temperature control module to increase the temperature set by the temperature control equipment inside the laboratory, so as to promote the increase of the laboratory environmental temperature. If T avg >T e +δ, it indicates that the current laboratory temperature is higher than the upper limit of the standard laboratory temperature threshold, and a control instruction will be issued to the temperature control module to decrease the temperature set by the temperature control equipment inside the laboratory, so as to promote the decrease of the laboratory environmental temperature. Among them, T is the corrected temperature, T raw is the temperature of the temperature sensor before correction, E p is the personnel influence index, E e is the equipment influence index, time is the information data acquisition duration, v k is the air flow velocity inside the laboratory, α is the weight coefficient of the influence of personnel activities on temperature, β is the weight coefficient of the influence of electrical equipment on temperature, γ is the weight coefficient of the influence of air flow on temperature, is the temperature comprehensive conversion coefficient, T avg is the laboratory environmental temperature, M is the number of temperature sensors deployed inside the laboratory, T g is the corrected temperature of the g-th temperature sensor after temperature correction, μ g is the weight coefficient of the g-th temperature sensor (dynamically adjusted according to the position priority, and the weight coefficient value of the temperature sensor closer to the test bench is larger).

[0059] The above embodiments only represent one implementation manner of the present invention, and the description is relatively specific and detailed, but it should not be understood as a limitation to the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

Claims

1. A laboratory intelligent environment monitoring system, characterized in that: include: A sensor deployment unit, a data acquisition unit, a data transmission unit, a data storage unit, and a data processing unit; Sensor deployment unit: used to deploy multiple temperature sensors inside the laboratory to monitor the temperature inside the laboratory in real time; Data acquisition unit: used to collect real-time data on the heat emitted by laboratory staff, the heating power and volume of electrical equipment, and the air flow rate inside the laboratory during the temperature detection process of the laboratory; Data transmission unit: used to transmit the information data collected by the data acquisition unit through RS-485 data transmission mode; Data storage unit: used to store the information data transmitted by the data transmission unit; data processing unit: used to obtain and analyze the information data stored in the data storage unit. During the analysis process, the impact of the activities of the laboratory staff on the ambient temperature is first analyzed, and then the impact of the electrical equipment running in the laboratory on the ambient temperature is analyzed. Finally, based on multiple factors affecting the internal ambient temperature of the laboratory, the laboratory ambient temperature directly measured by the temperature sensor is comprehensively corrected, and then the weighted average method is used for the data of multiple temperature sensors to obtain the accurate laboratory ambient temperature. The obtained processing and analysis results are then forwarded to the remote monitoring unit. At the same time, the processing and analysis results are compared with the preset standard laboratory temperature threshold range, and control instructions are issued to the intelligent control unit based on the comparison results.

2. A laboratory intelligent environment monitoring system according to claim 1, characterized in that: The data collection unit includes: a personnel heat collection module, an equipment heat collection module, an equipment volume collection module and an air flow rate collection module; Personnel heat collection module: used to collect the heat information data emitted by the staff inside the laboratory in real time through infrared camera technology; Equipment heating collection module: used to collect heating power information data of electrical equipment inside the laboratory in real time; Equipment volume acquisition module: used to collect volume information data of electrical equipment inside the laboratory in real time through camera recognition technology; Air velocity collection module: used to collect real-time air velocity information data inside the laboratory through wind speed measuring instruments.

3. A laboratory intelligent environment monitoring system according to claim 2, characterized in that: The data processing unit includes: a data acquisition module, an analysis and judgment module, a result forwarding module and a signal sending module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to intelligently process and analyze the information data obtained by the data acquisition module through formula algorithms, and obtain the results of the processing and analysis; Result forwarding module: used to forward the results of analysis processed by the analysis and judgment module to the remote monitoring unit; Signal sending module: used to send control command signals to the intelligent control unit according to the results of analysis and judgment when abnormal conditions are found in the results of analysis and judgment by the analysis and judgment module.

4. A laboratory intelligent environment monitoring system according to claim 3, characterized in that: The environmental monitoring system further includes: an intelligent control unit and a remote monitoring unit, wherein the intelligent control unit includes: a signal receiving module and a temperature control module; the signal receiving module is used to receive the control instruction signal sent by the signal sending module in real time; Temperature control module: used to control the temperature set by the temperature control equipment inside the laboratory, thereby adjusting the laboratory environment temperature.

5. A laboratory intelligent environment monitoring system according to claim 4, characterized in that: The remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the control terminal display screen of the laboratory environment temperature monitoring background; Abnormal alarm module: used to send an alarm prompt to the laboratory environment temperature monitoring background control terminal when the result obtained by the analysis and judgment module is an abnormal result.

6. A laboratory intelligent environment monitoring system according to claim 5, characterized in that: The analysis and judgment module can obtain the heat information data emitted by the staff inside the laboratory from the data acquisition module, and obtain the personnel impact index through the analysis of the above acquired data: Among them, E p is the personnel impact index, ρ is the density of laboratory staff, n is the number of staff in the laboratory, Q i is the heat dissipation of the i-th laboratory worker, V lab The volume of the laboratory.

7. A laboratory intelligent environment monitoring system according to claim 6, characterized in that: The analysis and judgment module can obtain the heating power and volume information data of the electrical equipment inside the laboratory from the data acquisition module, and obtain the equipment impact index through the analysis of the above acquired data: Among them, E e is the equipment impact index, N is the number of electrical equipment in the laboratory, P j is the heating power of the jth electrical equipment, is the volume of the jth electrical equipment, V lab is the laboratory volume, and ΔT is the coefficient of variation of the temperature effect of electrical equipment.

8. A laboratory intelligent environment monitoring system according to claim 7, characterized in that: The analysis and judgment module can obtain the laboratory internal air flow rate information data from the data acquisition module, and obtain the laboratory ambient temperature after the laboratory ambient temperature directly measured by the temperature sensor is corrected by analyzing the above acquired data: Then the weighted average method is used to fuse the temperature sensor array data to reduce the spatial error: If T avg ∈[T e -δ, T e +δ], it means that the current laboratory temperature is within the standard laboratory temperature threshold range, and there is no need to issue control instructions to the intelligent control unit, where T is the corrected temperature, T raw is the temperature of the temperature sensor before correction, E p is the personnel impact index, E e is the device impact index, time is the information data collection duration, v k is the air flow velocity inside the laboratory, α is the weight coefficient of the impact of personnel activities on temperature, β is the weight coefficient of the impact of electrical equipment on temperature, and γ is the weight coefficient of the impact of air flow on temperature. is the temperature comprehensive conversion coefficient, T avg is the laboratory environment temperature, M is the number of temperature sensors installed inside the laboratory, T g is the corrected temperature of the gth temperature sensor after temperature correction, μ g is the weight coefficient of the gth temperature sensor.

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