A multi-sensor linked environmental data acquisition system

Abstract

The present application relates to the technical field of data acquisition, and more particularly to an environmental data acquisition system with linkage of multiple sensors, comprising a fluctuation detection module, a node determination module, a database and a parameter replacement module, the node determination module determines the start phase, the sustaining phase and the recovery phase of the gas concentration fluctuation in the refrigeration chamber according to the detection result of the fluctuation detection module, the database stores the fluctuation limits of each phase, and the parameter replacement module compares the variance value of the data collected by the gas sensor in each phase with the corresponding fluctuation limit, and determines the replacement data of the gas sensor in the start phase, the sustaining phase and the recovery phase according to the comparison result; the present application replaces the data fluctuation of the internal gas sensor caused by the opening of the refrigeration chamber in stages, and avoids the inaccurate evaluation result caused by the combined analysis of the environmental data fluctuation in the evaluation phase.

Description

Technical Field

[0001] This invention relates to the field of data acquisition technology, and in particular to an environmental data acquisition system that links multiple sensors. Background Technology

[0002] Currently, for environmental data sensors that operate for extended periods, it is necessary to periodically assess whether their detection accuracy has deteriorated. Existing technologies generally rely on direct metrological calibration or evaluation based on the sensor's data acquisition performance over a certain period. For example, existing technologies disclose a gas sensor performance calibration method and supporting testing system, including a performance analysis module, a performance evaluation module, and an evaluation and sorting module. This method detects and analyzes the performance of each numbered hydrogen sensor under different construction environments and gas conditions. Based on the analysis results, it obtains a performance evaluation index for each numbered hydrogen sensor, thus comprehensively reflecting the performance and stability of each numbered hydrogen sensor. This provides a basis for subsequent deployment and solves the problem that existing technologies can only use a single test as the result and cannot comprehensively analyze the data from sensors under different environments and conditions.

[0003] However, the above-mentioned solutions cannot utilize historical actual data collection, and even if historical actual working data is used in the evaluation phase of related technologies, there is a lack of compensation for fluctuations in actual working data caused by non-gas sensor intrinsic parameters. Summary of the Invention

[0004] The purpose of this invention is to provide an environmental data acquisition system that links multiple sensors, in order to solve the problem that existing technologies, when using historical actual working data during the evaluation stage, lack the ability to correct for fluctuations in actual working data caused by non-gas sensor intrinsic parameters.

[0005] This invention provides an environmental data acquisition system that links multiple sensors. The system includes: a cold storage room, a gas sensor for collecting gas concentrations within the cold storage room, a fluctuation detection module, a node determination module, a database, and a parameter replacement module.

[0006] The fluctuation detection module includes an angle Hall sensor coaxial with the rotating hinge or hinge of the refrigerator door, and a sensing unit that emits a sensing signal in response to pressure changes at the refrigerator door connection.

[0007] The node determination module determines the start stage, duration stage, and recovery stage of the gas concentration fluctuation in the cold storage compartment based on the detection results of the fluctuation detection module.

[0008] The database stores historical data of the gas sensor in the refrigerator compartment under normal operating conditions, the fluctuation limit of the gas sensor per unit time during the start phase and the recovery phase, and the fluctuation limit of the gas sensor under different opening degrees and different opening durations of the refrigerator compartment door during the continuous phase.

[0009] The parameter replacement module compares the variance of the data collected by the gas sensor within a unit time with the corresponding fluctuation limit in the start phase, the continuous phase, and the recovery phase, respectively, and determines the replacement data of the gas sensor in the start phase, the continuous phase, and the recovery phase based on the comparison results.

[0010] The initial stage is the stage when the sensing unit first sends a sensing signal to the angle Hall sensor and the detection value begins to change; the continuous stage is the stage from when the detection value of the angle Hall sensor begins to change to when the detection value of the angle Hall sensor stops changing; and the recovery stage is the stage from when the detection value of the angle Hall sensor stops changing to when the sensing unit stops sending sensing signals.

[0011] As a preferred technical solution for an environmental data acquisition system involving multiple sensors, the parameter replacement module compares the variance of the acquired data within a unit time period during the initial, continuous, and recovery phases with the corresponding fluctuation limits in the database. If the variance does not exceed the fluctuation limits, the parameter replacement module selects the appropriate value from the database.

[0012] The data segment with the same outdoor temperature, identical concentration values ​​at both ends, and the smallest variance is used as the replacement data for that unit of time.

[0013] As a preferred technical solution for an environmental data acquisition system involving multiple sensors, if the variance of the acquired data exceeds the fluctuation limit within a unit time, the ratio of the variance to the fluctuation limit is determined. The product of this ratio and the variance of the data segment with the smallest variance in the database is taken as the equivalent variance value. The data segment with the smallest variance value in the database is then selected.

[0014] The data segment with the same outdoor temperature, the same concentration values ​​at both ends, and the variance value closest to the equivalent variance value is used as the replacement data for that unit of time.

[0015] As a preferred technical solution for an environmental data acquisition system that links multiple sensors, the fluctuation limits of the start and recovery phases stored in the database are established based on the statistical results of the variance of the unit time during the start and recovery phases from the historical data of the gas sensors in normal operation.

[0016] As a preferred technical solution for an environmental data acquisition system that links multiple sensors, the fluctuation limits for the continuous phase stored in the database are established based on the statistical results of the variance per unit time during the continuous phase from historical data of gas sensors under different opening degrees and different opening durations of the refrigerator door.

[0017] As a preferred technical solution for an environmental data acquisition system that links multiple sensors, the parameter replacement module stores the replacement data in the database. When performing gas sensor evaluation based on historical data, the replacement data replaces the actual data for the corresponding time period for evaluation.

[0018] As a preferred technical solution for an environmental data acquisition system that links multiple sensors, the sensing unit is a pressure sensor, which is located at the connection between the refrigerator compartment doors and outputs a sensing signal in response to pressure changes at the connection.

[0019] The beneficial effects of this invention are as follows:

[0020] This invention replaces the data fluctuations of the internal gas sensor caused by opening the refrigerator door in stages. Since the data fluctuations are not caused by the sensor's intrinsic parameters, the invention uses historical data and data stability as equivalent replacements to avoid inaccurate evaluation results caused by the combined analysis of environmental data fluctuations during the evaluation stage.

[0021] Furthermore, this invention, through a fluctuation detection module and a node determination module, can accurately divide the initial, sustained, and recovery phases of gas concentration fluctuations based on the actions (opening and closing) of the refrigerator door. This ability to dynamically capture fluctuation phases effectively avoids data misjudgment during the evaluation process, providing a reliable basis for phase division for accurate evaluation of gas sensor performance.

[0022] Furthermore, the database of this invention stores the unit-time fluctuation limits for the initial, sustained, and recovery phases under normal operating conditions of the gas sensor. By comparing the variance of the real-time acquired data with historical fluctuation limits, it is possible to accurately identify whether the acquired data of the gas sensor is stable, and to activate a repair mechanism when the data fluctuation exceeds the limit, effectively solving the problem that historical data cannot be fully utilized in the prior art.

[0023] Furthermore, the parameter replacement module of this invention can flexibly select data segments from the database that meet specific conditions (such as consistent current outdoor temperature, identical concentration values ​​at both ends, and minimum variance) as replacement data based on whether the real-time variance value exceeds the fluctuation limit. This process not only corrects the fluctuation problem caused by non-gas sensor intrinsic parameters but also improves the overall stability of the sensor's data acquisition, meeting the high-quality data requirements of the subsequent evaluation stage.

[0024] Furthermore, in the process of establishing fluctuation limits during the continuous phase, this invention generates limits based on historical gas sensor data under different opening degrees and opening durations of the refrigerator door, following statistical laws. This design can adapt to complex and varied refrigerator operating conditions and ensures that a stable data evaluation basis can still be provided under extreme operating conditions.

[0025] Furthermore, through a clearly defined stage division and fluctuation limit comparison mechanism, combined with replacement data selection logic, this invention can efficiently repair fluctuations in collected data caused by refrigerator door movement or changes in the external environment, significantly enhancing the reliability of actual working data from gas sensors. Compared to existing technologies that rely solely on a single calibration or detection method, this invention achieves dynamic repair based on multi-stage fluctuation limits.

[0026] Furthermore, the system of this invention significantly reduces the need for frequent calibrations due to decreased sensor detection accuracy by real-time monitoring and repair of data collected by the gas sensor. Simultaneously, the system utilizes existing historical data, eliminating the need for complex hardware upgrades and effectively reducing long-term maintenance costs.

[0027] Furthermore, by dividing the functions into a fluctuation detection module, a node determination module, a database, and a parameter replacement module, this invention enables the system to possess strong scalability and adaptability. The system can be applied to other environmental scenarios requiring stable data acquisition, such as industrial process monitoring and environmental monitoring, further expanding the applicability of the technology.

[0028] Furthermore, the parameter replacement module of this invention stores the repaired replacement data in a database. When performing gas sensor evaluations based on historical data, the replacement data can replace the actual data for the corresponding time period for evaluation. This not only improves the accuracy of the evaluation results but also ensures the transparency of the evaluation process and the traceability of the results. Attached Figure Description

[0029] Figure 1 This is a structural block diagram of an environmental data acquisition system with multiple sensors linked in an embodiment of the present invention;

[0030] Figure 2 This is a flowchart illustrating the determination of fluctuation limits in an embodiment of the present invention;

[0031] Figure 3 This is a flowchart illustrating the workflow of an environmental data acquisition system that integrates multiple sensors, as described in this embodiment of the invention. Detailed Implementation

[0032] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The terms "first position" and "second position" refer to two different positions. Furthermore, "above," "on top of," and "over" the first feature in relation to the second feature includes the first feature directly above and diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "under," and "below" the first feature in relation to the second feature includes the first feature directly below and diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0034] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0035] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0036] like Figure 1 As shown, this embodiment provides an environmental data acquisition system that links multiple sensors, including: a cold storage room, a gas sensor for collecting gas concentration in the cold storage room, a fluctuation detection module, a node determination module, a database, and a parameter replacement module.

[0037] The fluctuation detection module includes an angle Hall sensor coaxial with the rotating hinge or hinge of the refrigerator door, and a sensing unit that emits a sensing signal in response to pressure changes at the refrigerator door connection.

[0038] The node determination module determines the start, duration, and recovery phases of gas concentration fluctuations in the cold storage compartment based on the detection results of the fluctuation detection module.

[0039] The database stores historical data of the gas sensor in the refrigerator compartment under normal operating conditions, the fluctuation limit of the gas sensor per unit time during the initial and recovery phases, and the fluctuation limit of the gas sensor under different opening degrees and different opening durations of the refrigerator compartment door during the continuous phase.

[0040] The parameter replacement module compares the variance of the data collected by the gas sensor within a unit time with the corresponding fluctuation limit in the start phase, the continuous phase, and the recovery phase, respectively, and determines the replacement data of the gas sensor in the start phase, the continuous phase, and the recovery phase based on the comparison results.

[0041] The initial stage is the stage where the sensing unit first sends a sensing signal to the angle Hall sensor and the detected value begins to change; the continuous stage is the stage from when the detected value of the angle Hall sensor begins to change until the detected value of the angle Hall sensor stops changing; and the recovery stage is the stage from when the detected value of the angle Hall sensor stops changing until the sensing unit stops sending sensing signals.

[0042] In the above embodiments, the data fluctuations of the internal gas sensor caused by the opening of the refrigerator door are replaced in stages using equivalent substitution. Since these fluctuations are not caused by the sensor's intrinsic parameters, historical data and data stability are used for equivalent substitution, avoiding inaccurate evaluation results caused by the combined analysis of environmental data fluctuations during the evaluation phase. Furthermore, through the fluctuation detection module and node determination module, the initial, continuous, and recovery phases of gas concentration fluctuations can be accurately divided based on the refrigerator door's actions (opening and closing). This ability to dynamically capture fluctuation phases effectively avoids data misjudgment during the evaluation process, providing a reliable basis for accurate phase division of gas sensor performance evaluation.

[0043] Building upon the aforementioned effects, the database stores the unit-time fluctuation limits for the initial, sustained, and recovery phases under normal gas sensor operation. By comparing the variance of real-time acquired data with historical fluctuation limits, the stability of the gas sensor's acquired data can be accurately identified, and a repair mechanism is activated when data fluctuations exceed the limits, effectively solving the problem of insufficient utilization of historical data in existing technologies. The parameter replacement module can flexibly select data segments from the database that meet specific conditions (such as consistent current outdoor temperature, identical concentration values ​​at both endpoints, and minimum variance) as replacement data based on whether the real-time variance exceeds the fluctuation limits. This process not only corrects fluctuations caused by factors other than the gas sensor's intrinsic parameters but also improves the overall stability of the sensor's acquired data, meeting the high-quality data requirements of subsequent evaluation phases. During the establishment of fluctuation limits for the sustained phase, limits are generated according to statistical laws based on historical gas sensor data under different opening degrees and opening durations of the refrigerator door. This design can adapt to complex and variable refrigerator operating conditions and ensure a stable data evaluation basis even under extreme operating conditions.

[0044] Furthermore, this embodiment, through a clear stage division and fluctuation limit comparison mechanism, combined with the selection logic of replacement data, can efficiently repair fluctuations in collected data caused by the movement of the refrigerator door or changes in the external environment, significantly enhancing the reliability of the actual working data of the gas sensor. Compared to existing technologies that can only rely on a single calibration or detection method, it achieves dynamic repair based on multi-stage fluctuation limits. By monitoring and repairing the gas sensor's collected data in real time, the frequent calibration requirements caused by the decline in sensor detection accuracy are greatly reduced. At the same time, the system utilizes existing historical data, eliminating the need for additional complex hardware upgrades, thereby effectively reducing long-term maintenance costs. By dividing the functions into a fluctuation detection module, a node determination module, a database, and a parameter replacement module, the system possesses strong scalability and adaptability. The system can be applied to other environmental scenarios requiring stable data acquisition, such as industrial process monitoring and environmental monitoring, further expanding the applicability of the technology.

[0045] Specifically, the parameter replacement module compares the variance of the collected data within a unit of time with the corresponding fluctuation limits in the database for the start, duration, and recovery phases. If the variance does not exceed the fluctuation limits, the database is selected.

[0046] The data segment with the same outdoor temperature, identical concentration values ​​at both ends, and the smallest variance is used as the replacement data for that unit of time.

[0047] Specifically, if the variance of the collected data exceeds the fluctuation limit within a unit of time, the ratio of the variance to the fluctuation limit is determined. The product of this ratio and the variance of the data segment with the smallest variance in the database is taken as the equivalent variance value. The database is then selected as follows:

[0048] The data segment with the same outdoor temperature, identical concentration values ​​at both ends, and variance value closest to the equivalent variance value is used as the replacement data for that unit of time.

[0049] Specifically, the fluctuation limits for the start and recovery phases stored in the database are established based on the statistical results of the variance per unit time during the start and recovery phases from historical data of normally functioning gas sensors.

[0050] In detail, the purpose of setting fluctuation limits is that if the fluctuation limits are exceeded, it is assumed that the gas sensor, in addition to being affected by gas exchange from external door opening and closing, is experiencing data fluctuations due to internal parameters, and the data segment with the larger fluctuation should be replaced; optional, please refer to Figure 2 As shown, the establishment of fluctuation limits specifically includes:

[0051] Step S001: Extract the gas concentration, timestamp, and refrigerator door opening angle in the refrigerator compartment during the start, continuous, and recovery phases from the historical data collected by the gas sensor during the refrigerator door operation.

[0052] Step S002: For the start phase and recovery phase, obtain the maximum and minimum values ​​of the unit time variance of the historical start phase and recovery phase, and select 2 / 3 of the sum of the maximum and minimum values ​​(which can be adjusted according to the actual scenario) as the fluctuation limit.

[0053] Step S003: For the continuous phase, the opening angle is divided into 10°, 30°, 50°, 70°, and 90°, and the opening duration is 1 min, 2 min, 3 min, 4 min, 5 min... Under the same opening angle and the same opening duration, gas concentration data is statistically analyzed. The maximum and minimum values ​​of the variance per unit time in the statistical data are obtained. Two-thirds of the sum of the maximum and minimum values ​​(which can be adjusted according to the actual scenario) is selected as the fluctuation limit for the current opening angle and the current opening duration. In implementation, the fluctuation limit for each phase can also be determined by statistical methods such as linear regression, as long as it meets the judgment requirements, which will not be elaborated here.

[0054] Specifically, the parameter replacement module stores the replacement data in the database. When evaluating gas sensors based on historical data, the replacement data is used to replace the actual data for the corresponding time period.

[0055] Specifically, the sensing unit is a pressure sensor located at the connection between the refrigerator compartment doors, and outputs a sensing signal in response to pressure changes at the connection.

[0056] See Figure 3 As shown, the environmental data acquisition system of this embodiment includes the following steps when it is working:

[0057] Step S1: Acquire the electrical signals from the angle Hall sensor and the sensing unit and output them to the node determination module;

[0058] In step S2, the node determination module starts working in response to the electrical signal input from the sensing unit, and determines the start phase, continuous phase and recovery phase of the refrigerator door opening action based on the received electrical signal.

[0059] Step S3: Call the database and compare the variance value per unit time of each stage with the corresponding fluctuation limit in the database.

[0060] Step S4: Select the corresponding data segment in the database as the replacement data based on the comparison results.

[0061] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using dedicated hardware-based apparatus to perform the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0062] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. An environmental data acquisition system involving multiple sensors, comprising a cold storage compartment and a gas sensor for acquiring gas concentrations within the cold storage compartment, characterized in that, Also includes: The fluctuation detection module includes an angle Hall sensor coaxial with the rotating hinge or hinge of the refrigerator door, and a sensing unit that emits a sensing signal in response to pressure changes at the refrigerator door connection. The node determination module determines the start stage, duration stage, and recovery stage of the gas concentration fluctuation in the cold storage compartment based on the detection results of the fluctuation detection module. The database stores historical data of the gas sensor in the refrigerator compartment under normal operating conditions, the fluctuation limit of the gas sensor per unit time during the start phase and the recovery phase, and the fluctuation limit of the gas sensor under different opening degrees and different opening durations of the refrigerator compartment door during the continuous phase. The parameter replacement module compares the variance of the data collected by the gas sensor within a unit time period with the corresponding fluctuation limit during the start phase, the continuous phase, and the recovery phase, respectively, and determines the replacement data of the gas sensor during the start phase, the continuous phase, and the recovery phase based on the comparison results. The initial stage is the stage when the sensing unit first sends a sensing signal to the angle Hall sensor and the detection value begins to change; the continuous stage is the stage from when the detection value of the angle Hall sensor begins to change to when the detection value of the angle Hall sensor stops changing; and the recovery stage is the stage from when the detection value of the angle Hall sensor stops changing to when the sensing unit stops sending sensing signals.

2. The environmental data acquisition system with multiple sensor linkages according to claim 1, characterized in that, The parameter replacement module compares the variance of the collected data within a unit time period for the start phase, the duration phase, and the recovery phase with the corresponding fluctuation limit in the database. If the fluctuation limit is not exceeded, the parameter replacement module selects the appropriate value from the database. The data segment with the same outdoor temperature, identical concentration values ​​at both ends, and the smallest variance is used as the replacement data for that unit of time.

3. The environmental data acquisition system with multiple sensor linkages according to claim 2, characterized in that, If the variance of the collected data exceeds the fluctuation limit within a unit time period, the ratio of the variance to the fluctuation limit is determined. The product of this ratio and the variance of the data segment with the smallest variance in the database is taken as the equivalent variance value. The database is then selected as the equivalent variance value. The data segment with the same outdoor temperature, the same concentration values ​​at both ends, and the variance value closest to the equivalent variance value is used as the replacement data for that unit of time.

4. The environmental data acquisition system with multiple sensor linkages according to claim 1, characterized in that, The fluctuation limits for the start and recovery phases stored in the database are established based on the statistical results of the variance per unit time during the start and recovery phases from historical data of normally functioning gas sensors.

5. The environmental data acquisition system with multiple sensor linkages according to claim 1, characterized in that, The fluctuation limits for the continuous phase stored in the database are established based on the statistical results of the variance per unit time during the continuous phase from historical data of gas sensors under different opening degrees and different opening durations of the refrigerator door.

6. The environmental data acquisition system with multiple sensor linkages according to claim 1, characterized in that, The parameter replacement module stores the replacement data in the database. When performing gas sensor evaluation based on historical data, the replacement data replaces the actual data for the corresponding time period for evaluation.

7. The environmental data acquisition system with multiple sensor linkages according to claim 1, characterized in that, The sensing unit is a pressure sensor, located at the connection between the refrigerator compartment doors, and outputs a sensing signal in response to pressure changes at the connection.

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