Intelligent temperature and humidity detector batch calibration method and system

Abstract

The invention belongs to the technical field of environmental parameter monitoring instrument calibration, and particularly relates to a batch calibration method and system for intelligent temperature and humidity detectors. The system comprises a constant temperature and humidity chamber, a temperature and humidity detector, a wireless router, an upper computer and a block chain storage module. The constant temperature and humidity chamber provides a standard calibration environment, the temperature and humidity detector uploads real-time data through the wireless communication module, and the digital twin system compares and analyzes the detection data, generates correction parameters and issues the correction parameters to unqualified equipment. And after the calibration is completed, the system automatically generates a calibration report and uploads the calibration report to the block chain for storage, so that the data security and traceability are ensured. Experiments show that the method is superior to a traditional method in the aspects of efficiency, precision and equipment management, and is suitable for the fields of tobacco leaf storage, cold-chain logistics, industrial manufacturing and the like needing environment monitoring.

Description

Technical Field

[0001] The invention belongs to the technical field of environmental parameter monitoring instrument calibration, and in particular relates to a batch calibration method and system for intelligent temperature and humidity detectors. Background Art

[0002] In recent years, my country's tobacco production technology has made important progress, tobacco raw materials have achieved a sustained and stable supply, the cigarette market has entered a brand expansion competition dominated by quality, and the storage and quality optimization of raw materials have become strategic issues for major industrial companies. All industrial companies reserve tobacco raw materials as important strategic materials.

[0003] How to ensure that tobacco raw materials are safely and high-quality aged in a suitable environment is of great significance to the stability of cigarette product quality. The temperature and humidity in the tobacco package are very important for the scientific maintenance of tobacco leaves. Tobacco leaves must undergo a natural aging process of one or two years before use. The aging of tobacco leaves has an important relationship with the temperature and humidity in the tobacco package, and the temperature and humidity in the warehouse where the tobacco packages are stored can directly affect the temperature and humidity in the tobacco package.

[0004] National and industry standards have proposed appropriate control ranges for the temperature and humidity control of tobacco aging environments. How to ensure that tobacco leaves are aged in a suitable environment has attracted more and more attention from relevant industry insiders, and tobacco industry enterprises in various regions have installed a large number of temperature and humidity detectors in tobacco warehouses.

[0005] With the high-quality development of the enterprise, the applicant has installed a large number of temperature and humidity detectors in tobacco warehouses and finished cigarette warehouses in Hangzhou and Ningbo. The digital storage of Hangzhou tobacco warehouses has installed 2,000 temperature and humidity detectors, and the digital storage of Ningbo tobacco warehouses will soon add more than 1,000 temperature and humidity detectors. The conventional manual comparison, manual calculation and wired connection of a single calibrated temperature and humidity detector calibration method consumes a lot of time for instrument inspectors, which will affect the accurate monitoring of temperature and humidity in tobacco warehouses and other places.

[0006] The traditional method requires placing the standard thermometer and humidity meter and the temperature and humidity detector to be calibrated in a constant temperature and humidity chamber at the same time, manually reading the values ​​of both and comparing them one by one. This operation method is inefficient for the calibration needs of a large number of temperature and humidity detectors.

[0007] During the calibration process, multi-point linear verification is often required, that is, multiple temperature and humidity points need to be calibrated for one detector, and the error of each point needs to be calculated. For unqualified detectors, they need to be corrected one by one through the serial port connection software, and then recalibrated until they are qualified. The whole process is usually time-consuming and not suitable for batch operations. In addition, in the prior art, most calibration systems only realize data recording and simple comparison, and lack the ability to intelligently analyze environmental distribution, equipment failures and trend predictions. The correction of unqualified equipment also relies on manual intervention, and the overall degree of automation is low. At the same time, the environmental uniformity in the constant temperature and humidity chamber (such as temperature and humidity gradients and airflow distribution) is often ignored, which may cause some detectors to be affected by environmental condition deviations and the calibration results are not accurate enough.

[0008] Therefore, it is urgent to develop a batch calibration system for temperature and humidity detectors that can collect data from temperature and humidity detectors in batches, automatically compare them with standard temperature and humidity values, automatically correct any unqualified comparisons, and generate weekly inspection reports if all are qualified, so as to improve the ability to accurately maintain tobacco leaves and provide technical support for the company's stable and high-quality raw material supply for cigarette products. Summary of the invention

[0009] In order to solve the above problems, the present invention provides an efficient, intelligent and batch-operable intelligent temperature and humidity detector batch calibration method and system. By introducing advanced digital twin technology, the present invention can realize the virtualization and real-time synchronization of constant temperature and humidity chambers and detectors, and optimize the environmental monitoring and equipment calibration process. At the same time, combined with automated correction, intelligent prediction and big data analysis functions, it can not only improve the efficiency and accuracy of calibration, but also predict potential equipment failures and extend its service life through in-depth analysis of the equipment's operating status and trends.

[0010] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions:

[0011] A batch calibration method for intelligent temperature and humidity detectors comprises the following steps:

[0012] S1: Set a predetermined temperature and humidity environment in a constant temperature and humidity chamber to form standard calibration conditions, and place the temperature and humidity detector to be tested in the constant temperature and humidity chamber;

[0013] S2: Use digital twin technology to build virtual models of constant temperature and humidity chambers and temperature and humidity detectors, which run synchronously with physical equipment in real time;

[0014] S3: Upload the real-time data of the temperature and humidity detector to be inspected to the host computer through the wireless network, and synchronize it to the digital twin system at the same time;

[0015] S4: Use the digital twin model to analyze the temperature and humidity distribution in the constant temperature and humidity chamber and the working status of the detector to ensure the uniformity of the calibration environment;

[0016] S5: Compare the real-time data of the temperature and humidity detector to be inspected with the standard temperature and humidity values ​​to determine whether it is qualified or not, and automatically correct the unqualified equipment;

[0017] S6: Use the digital twin model to predict the long-term performance trend and possible deviation of the temperature and humidity detector, and optimize the subsequent calibration parameters;

[0018] S7: After completing the calibration of all detectors, a report containing the calibration results and predictive analysis is generated and uploaded to the blockchain for storage.

[0019] Preferably, the digital twin model can simulate in real time the temperature and humidity gradient, air flow distribution and spatial position of the detector in the constant temperature and humidity chamber to ensure the uniformity of the calibration environment.

[0020] Preferably, the method includes correcting unqualified data of each detector, and feeding back the corrected data to the host computer through the next packet sending cycle until all detectors are calibrated to be qualified.

[0021] Preferably, the calibration data includes real-time temperature and humidity values, deviation analysis results and correction parameters, and is encrypted and stored via blockchain to ensure the data is tamper-proof and traceable.

[0022] Furthermore, the present invention also discloses a batch calibration system for intelligent temperature and humidity detectors, which implements the method described above, including:

[0023] 1) Constant temperature and humidity chamber, used to provide a controllable standard calibration environment;

[0024] 2) Temperature and humidity detector, equipped with temperature and humidity sensor, wireless communication module and power supply battery, used to detect temperature and humidity data in real time and send it to the host computer;

[0025] 3) Wireless router, used to receive data from the temperature and humidity detector and transmit it to the host computer;

[0026] 4) The host computer is equipped with a digital twin system, which is used to synchronize the virtual models of the constant temperature and humidity chamber and the temperature and humidity detector, analyze the equipment status and calibration data in real time, and correct unqualified equipment;

[0027] 5) Blockchain storage module, used to store data records during the calibration process.

[0028] Preferably, the host computer is equipped with an intelligent correction module, which automatically generates optimized correction parameters by analyzing historical data of the detector and sends them to the detector.

[0029] Preferably, the digital twin system has a remote access function, allowing the user to monitor the calibration process in real time, export calibration result reports and perform virtual environment simulation through remote login.

[0030] Preferably, the constant temperature and humidity chamber is equipped with multi-point environmental monitoring sensors for real-time collection of temperature and humidity gradient data, and synchronization with the digital twin model for dynamic adjustment.

[0031] Preferably, the digital twin model has a fault prediction function, which identifies potential faults and generates maintenance suggestions in advance by analyzing the detector operation data.

[0032] Preferably, the host computer includes a dynamic optimization module, which can automatically adjust the package issuance period, temperature and humidity thresholds and correction algorithms according to the current calibration environment conditions to improve the calibration efficiency and accuracy.

[0033] The present invention adopts the above-mentioned technical solution. On the basis of the existing technology, it introduces a variety of innovative means such as digital twin technology, wireless communication, automatic correction and blockchain storage to achieve efficient, intelligent, accurate and reliable calibration of temperature and humidity detectors. The specific technical effects are as follows:

[0034] 1. Greatly improve the calibration efficiency: The present invention adopts batch calibration method, and calibrates multiple temperature and humidity detectors at the same time through wireless communication technology and digital twin system. Compared with the traditional calibration method of each device, hundreds of devices can be calibrated at one time, which significantly shortens the calibration time and meets the rapid calibration needs of large-scale temperature and humidity detectors.

[0035] 2. Significantly improve calibration accuracy. The digital twin model is used to simulate the temperature and humidity gradient distribution and airflow conditions in the constant temperature and humidity chamber in real time to ensure the uniformity of the calibration environment and avoid calibration errors caused by environmental deviations from the root. At the same time, the intelligent correction module provides personalized correction parameters for unqualified equipment, further improving the calibration accuracy.

[0036] 3. Realize intelligence and automation: The system of the present invention automatically analyzes the real-time data and standard values ​​of the equipment to be inspected through the linkage between the host computer and the digital twin system, automatically determines whether the equipment is qualified, and completes the correction operation. The entire process does not require manual intervention, realizes fully automated operation, and greatly reduces the manual workload.

[0037] 4. Ability to predict equipment status: Through digital twin models and historical data analysis, the present invention can predict the long-term performance trends and possible deviations of temperature and humidity detectors, issue early alarms for equipment that is about to fail, and provide maintenance recommendations, thereby extending the service life of the equipment and reducing maintenance costs.

[0038] 5. Improve data credibility and traceability: All data generated during the calibration process are encrypted and stored through the blockchain network to ensure that the data cannot be tampered with and have complete timestamp records, which enhances the security and traceability of the calibration data and provides strong protection for equipment management and subsequent analysis.

[0039] 6. Flexible adaptation to various calibration requirements: The system allows users to dynamically adjust calibration parameters according to different application scenarios, including temperature and humidity thresholds, package delivery cycles, and environmental simulation conditions, to adapt to calibration tasks with different accuracy requirements. The remote operation function further expands the system's usage scenarios, enabling it to support remote calibration and real-time monitoring.

[0040] 7. Support expansion and upgrade: The present invention adopts modular design and has good scalability. In the future, by adding other environmental parameter sensors (such as light, air pressure, carbon dioxide concentration, etc.), the functional scope of the system can be expanded to further meet the needs of more fields.

[0041] In summary, the present invention can not only significantly improve the calibration efficiency and accuracy of the temperature and humidity detector, but also improve the technical level of the overall system through intelligence, predictive maintenance and data security, providing a new solution for the efficient management and quality control of industrial temperature and humidity detection equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a system architecture diagram of the present invention;

[0043] Among them: 1. Temperature and humidity sensor, 2. Wireless transceiver chip and battery, 3. Temperature and humidity detector, 4. Wireless router, 5. Host computer PC, 6. Constant temperature and humidity chamber.

[0044] Figure 2 This is an operation interface diagram of the system of the present invention. DETAILED DESCRIPTION

[0045] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Example 1: System architecture and hardware configuration

[0047] like Figure 1 As shown, the intelligent temperature and humidity detector batch calibration system of the present invention includes the following hardware modules:

[0048] 1. Constant temperature and humidity chamber

[0049] The constant temperature and humidity chamber provides a standard calibration environment, with a set temperature range of -10℃ to 70℃ and a humidity range of 10%RH to 90%RH. It has multiple high-precision temperature and humidity sensors built in to monitor the temperature and humidity distribution in the chamber in real time. It is also equipped with intelligent heating, cooling and humidification modules to ensure the stability of environmental parameters. In addition, it is equipped with airflow optimization design to prevent excessive deviation of temperature and humidity in local areas and ensure environmental uniformity.

[0050] 2. Temperature and humidity detector

[0051] Each detector has a built-in high-precision temperature and humidity sensor, which supports the detection of temperature ranges from -20℃ to 80℃ and humidity ranges from 5%RH to 95%RH. The detector is equipped with a wireless communication module (Wi-Fi or LoRa) to support stable connection with a wireless router. It is equipped with a power supply battery that can run continuously for 8 hours and has a low-battery alarm function.

[0052] 3. Wireless router

[0053] Supports high-concurrency device access, and can connect up to 200 temperature and humidity detectors at a time. Automatically optimizes communication channels to avoid signal interference.

[0054] 4. Host computer

[0055] The host computer includes a high-performance computing module and a digital twin system, which is responsible for data processing, calibration result analysis, and virtual model synchronization. The host computer is equipped with multiple interfaces (USB, Ethernet, HDMI) to support remote access and data export.

[0056] 5. Digital Twin System

[0057] Simulate the temperature and humidity gradient distribution and airflow of the constant temperature and humidity chamber. Map the real-time status of the detector (temperature and humidity values, power, communication quality, etc.) and dynamically adjust the calibration parameters. The implementation of the digital twin model includes the following technologies:

[0058] 5.1 Virtual Modeling Technology

[0059] Modeling tools: Use 3D modeling software (such as SolidWorks, ANSYS) to build the virtual structure of the constant temperature and humidity chamber.

[0060] Real-time data interface: Connect the data of the physical system to the virtual model through API or MQTT protocol.

[0061] Rendering engine: Use Unity or Unreal Engine to achieve dynamic rendering of the virtual environment.

[0062] 5.2 Data processing and analysis

[0063] The data is preprocessed (cleaned and formatted) after passing through the host computer. An analysis algorithm is built based on Python or MATLAB for uniformity calculation, error assessment and trend prediction.

[0064] 5.3 Interactive Interface

[0065] Visualization platform: Develop interactive interfaces based on the Web or desktop to support real-time monitoring and operation.

[0066] User operation functions: support temperature and humidity settings, correction parameter adjustment, report export, etc.

[0067] Example 2: Calibration method and process

[0068] Step 1: Standard environment setup

[0069] Set the preset temperature and humidity values ​​in the constant temperature and humidity chamber as the standard calibration environment, such as 22°C and 60%RH. Place the temperature and humidity detectors to be tested in the chamber in batches to ensure that the equipment is evenly distributed.

[0070] Step 2: Construction of digital twin model

[0071] A 3D model of a constant temperature and humidity chamber is constructed using virtual modeling tools. The model synchronizes the data of the physical constant temperature and humidity chamber in real time, including the temperature and humidity gradient distribution, airflow conditions, and the position status of the detector.

[0072] Step 3: Real-time data collection

[0073] Each temperature and humidity detector sends the real-time detection value to the host computer through the wireless module. The host computer receives the detection data through the wireless router and collects the standard temperature and humidity values ​​of the constant temperature and humidity chamber at the same time.

[0074] Step 4: Data comparison and qualification determination

[0075] The calibration software automatically compares the real-time data of the detector with the standard value and calculates the error value:

[0076] If the temperature error exceeds ±1°C or the humidity error exceeds ±3%RH, it will be judged as unqualified;

[0077] If it is within the error range, it is considered qualified.

[0078] The comparison results are displayed in color on the digital twin system interface, with qualified results in green and unqualified results in red.

[0079] Step 5: Correction of non-conforming equipment

[0080] For unqualified detectors, the host computer generates correction parameters (such as offset compensation values) and sends them to the detectors. After receiving the correction parameters, the detectors automatically adjust their internal calibration parameters and feed back the corrected data in the next data packet transmission cycle.

[0081] Step 6: Environmental uniformity analysis and dynamic adjustment

[0082] The digital twin model analyzes the temperature and humidity gradient distribution in the constant temperature and humidity chamber and generates a visual environmental uniformity report. If the environmental uniformity is insufficient, the system automatically adjusts the heater, humidifier or airflow optimization module in the chamber to ensure a stable calibration environment.

[0083] Step 7: Equipment performance prediction and fault warning

[0084] The system uses the historical data and real-time status of the detector to predict the long-term performance trend and potential deviation of the equipment. It also issues maintenance suggestions in advance for detectors that are about to fail, reducing the risk of subsequent use.

[0085] Step 8: Result recording and report generation

[0086] All calibration results are automatically generated into detailed reports, including:

[0087] 1. Equipment number;

[0088] 2. Test value and standard value;

[0089] 3. Error value and correction parameters;

[0090] 4. Calibrate time and environmental conditions.

[0091] The report can be exported in PDF and CSV formats, and the data is stored in blockchain to ensure that it cannot be tampered with.

[0092] Test example

[0093] In order to verify the effectiveness of the batch calibration method and system of intelligent temperature and humidity detectors based on digital twin technology of the present invention, the following experiments were carried out. The experimental data proved its technical effect in terms of efficiency, accuracy, uniformity and prediction performance.

[0094] 1. Experimental equipment and conditions

[0095] Constant temperature and humidity chamber: built-in 4 high-precision temperature and humidity sensors for real-time monitoring of environmental parameters;

[0096] Temperature and humidity detectors: 100 units, supporting wireless communication function;

[0097] Comparison equipment: Equipment using the traditional one-by-one calibration method;

[0098] Test temperature and humidity range:

[0099] Temperature setting value: 22℃;

[0100] Humidity setting value: 60%RH;

[0101] Environmental conditions: room temperature 25°C, relative humidity 50%.

[0102] 2. Experimental methods

[0103] Batch calibration experiment: 100 temperature and humidity detectors to be calibrated are placed in a constant temperature and humidity chamber in batches, and calibrated using the method of the present invention and the traditional method respectively;

[0104] Uniformity test: Use temperature and humidity sensors at different locations in the constant temperature and humidity chamber to record the distribution of the environment in the chamber;

[0105] Equipment prediction and correction: Five faulty devices were introduced during the calibration process to verify the system's ability to predict and correct faults.

[0106] Experimental results and data analysis

[0107] 1. Comparison of batch calibration efficiency

[0108] method Number of calibration equipment Calibration time (minutes) Average calibration time per unit (minutes) Improved efficiency Method of the present invention 100 20 0.2 - Traditional methods 100 360 3.6 18 times

[0109] Result analysis: Through batch calibration and automated correction, the present invention achieves an average calibration time of 0.2 minutes per device, which is 18 times more efficient than the traditional calibration method of each device.

[0110] 2. Calibration accuracy and consistency

[0111]

[0112] Result analysis:

[0113] Temperature error range before calibration: -1.8℃ to 1.5℃;

[0114] Temperature error range after calibration: -0.2℃ to 0.1℃;

[0115] Humidity error range before calibration: -4.1%RH to 4.2%RH;

[0116] Humidity error range after calibration: -0.2%RH to 0.3%RH;

[0117] The errors after calibration were all within the set threshold range, which proved that the method of the present invention has excellent calibration accuracy and consistency.

[0118] 3. Impact of environmental uniformity on calibration results

[0119] Position in the box Temperature deviation(℃) Humidity deviation (%RH) Error after calibration (℃) Error after calibration (%RH) center 0.0 0.0 0.0 0.1 Top left 0.2 0.3 0.1 0.2 Bottom right -0.3 -0.4 0.0 0.0 Lower left 0.1 -0.2 0.1 0.1 Top right -0.2 0.4 -0.1 0.2

[0120] Result analysis:

[0121] The maximum value of environmental deviation is 0.4% RH, and the environmental uniformity of the constant temperature and humidity chamber is good;

[0122] After calibration, the error remains within the threshold range, and the environmental uniformity has little effect on the calibration result.

[0123] 4. Fault prediction and correction effect

[0124] Detector No. Fault type System prediction results Corrected status Correction time (minutes) 21 High temperature Deviation +2.0℃ Deviation +0.1℃ 2 32 Low humidity Deviation -4.5%RH Deviation -0.2%RH 2.5 44 Communication interruption Signal loss Back to normal 1.5 57 Low battery Reminder to replace batteries Normal operation 1.0 78 Sensor aging Prompts that the sensor needs to be replaced Normal operation 3

[0125] Result analysis: The system can accurately predict equipment failures, and after correction, they are restored to normal working conditions, with an average correction time of 2 minutes.

[0126] The above is a description of the embodiments of the present invention. Through the above description of the disclosed embodiments, professionals and technicians in the field can implement or use the present invention. Various modifications to these embodiments will be apparent to professionals and technicians in the field. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown in this article, but will conform to the widest range consistent with the principles and novelties disclosed herein.

Claims

1. A batch calibration method for intelligent temperature and humidity detectors, characterized in that: The following steps are involved: S1: Set a predetermined temperature and humidity environment in a constant temperature and humidity chamber to form standard calibration conditions, and place the temperature and humidity detector to be tested in the constant temperature and humidity chamber; S2: Use digital twin technology to build virtual models of constant temperature and humidity chambers and temperature and humidity detectors, which run synchronously with physical equipment in real time; S3: Upload the real-time data of the temperature and humidity detector to be inspected to the host computer through the wireless network, and synchronize it to the digital twin system at the same time; S4: Use the digital twin model to analyze the temperature and humidity distribution in the constant temperature and humidity chamber and the working status of the detector to ensure the uniformity of the calibration environment; S5: Compare the real-time data of the temperature and humidity detector to be inspected with the standard temperature and humidity values ​​to determine whether it is qualified or not, and automatically correct the unqualified equipment; S6: Use the digital twin model to predict the long-term performance trend and possible deviation of the temperature and humidity detector and optimize the subsequent calibration parameters; S7: After completing the calibration of all detectors, a report containing the calibration results and predictive analysis is generated and uploaded to the blockchain for storage.

2. A batch calibration method for intelligent temperature and humidity detectors according to claim 1, characterized in that: The digital twin model can simulate the temperature and humidity gradient, air flow distribution and spatial position of the detector in the constant temperature and humidity chamber in real time to ensure the uniformity of the calibration environment.

3. The batch calibration method of intelligent temperature and humidity detector according to claim 1 is characterized in that: The method comprises correcting the unqualified data of each detector, and feeding back the corrected data to the host computer through the next package sending cycle until all the detectors are calibrated to be qualified.

4. The batch calibration method of intelligent temperature and humidity detector according to claim 1 is characterized in that: The calibration data includes real-time temperature and humidity values, deviation analysis results and correction parameters, and is encrypted and stored through blockchain to ensure the data is tamper-proof and traceable.

5. A batch calibration system for intelligent temperature and humidity detectors, characterized in that: The calibration system implements the method described in any one of claims 1 to 4, including: Constant temperature and humidity chamber, used to provide a controllable standard calibration environment; The temperature and humidity detector is equipped with a temperature and humidity sensor, a wireless communication module and a power supply battery, which is used to detect temperature and humidity data in real time and send it to the host computer; Wireless router, used to receive data from the temperature and humidity detector and transmit it to the host computer; The host computer is equipped with a digital twin system, which is used to synchronize the virtual models of the constant temperature and humidity chamber and the temperature and humidity detector, analyze the equipment status and calibration data in real time, and correct unqualified equipment; The blockchain storage module is used to store data records during the calibration process.

6. The batch calibration system of intelligent temperature and humidity detectors based on digital twin technology according to claim 5 is characterized in that: The host computer is equipped with an intelligent correction module, which automatically generates optimized correction parameters by analyzing the historical data of the detector and sends them to the detector.

7. The batch calibration system of intelligent temperature and humidity detectors based on digital twin technology according to claim 5 is characterized in that: The digital twin system has a remote access function, allowing users to monitor the calibration process in real time, export calibration result reports and perform virtual environment simulation through remote login.

8. The batch calibration system of intelligent temperature and humidity detectors based on digital twin technology according to claim 5 is characterized in that: The constant temperature and humidity chamber is equipped with multi-point environmental monitoring sensors for real-time collection of temperature and humidity gradient data, and synchronization to the digital twin model for dynamic adjustment.

9. The batch calibration system of intelligent temperature and humidity detectors based on digital twin technology according to claim 5 is characterized in that: The digital twin model has a fault prediction function. By analyzing the detector operation data, it can identify potential faults and generate maintenance suggestions in advance.

10. The batch calibration system of intelligent temperature and humidity detectors based on digital twin technology according to claim 5 is characterized in that: The host computer includes a dynamic optimization module, which can automatically adjust the package issuance cycle, temperature and humidity thresholds and correction algorithms according to the current calibration environment conditions to improve the calibration efficiency and accuracy.

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