Intelligent titrator integrating multispectrum and Internet of Things

Abstract

The invention provides an intelligent titrator integrating multispectrum and Internet of Things. The intelligent titrator comprises a titration main body, a multi-specification burette assembly, a multispectrum detection module, an intelligent processing module, an Internet of Things module, a light shielding assembly and a man-machine interaction module. The multi-specification burette assembly is provided with a specification identification device which can automatically identify the specification of the burette and match parameters; the multispectral detection module comprises a high-resolution image sensor and a full-spectrum light source and is used for collecting multispectral data of a solution; the intelligent processing module is integrated with a self-learning algorithm unit and supports a user-defined end point judgment model; and the Internet of Things module realizes data cloud storage, remote monitoring and multi-device networking management. According to the instrument, the accuracy and adaptability of end point judgment are improved through multispectral detection and an intelligent algorithm, multi-specification design and the function of the Internet of Things are combined, the application range is widened, the process is simplified, intelligent data management is achieved, laboratory operation cost investment is reduced, and intelligent development of analytical instruments is promoted.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of laboratory analysis instruments, in particular to an intelligent titrator integrated with multi-spectrum and Internet of Things. BACKGROUND

[0002] Titrating analysis is a basic and important quantitative analysis method in chemical laboratories, and the core is the accurate judgment of the titration end point. At present, the electronic titrator widely used in laboratories has obvious limitations in the end point judgment link. First, it usually uses ordinary optical sensors, which have insufficient resolution and response speed, are easily disturbed by changes in ambient light, and cause delay or misjudgment in end point recognition. At the same time, the existing devices generally lack effective automatic calibration and noise suppression mechanisms, and when facing titration systems with weak color changes, it is difficult to reliably capture the end point, and cannot adaptively adjust parameters according to different titration scenes, which seriously depends on the manual experience and intervention of the operator, affecting the accuracy and repeatability of the analysis results.

[0003] Secondly, the existing electronic titrator has the problem of single function. On the one hand, its detection means is limited to a single wavelength, which cannot cope with the spectral interference of complex systems such as turbid liquid and multi-component mixed liquid, and is prone to misjudgment due to insufficient information dimension. On the other hand, the algorithm model of the device is fixed, and lacks self-learning and optimization ability, which cannot adapt to special indicators of users or custom judgment conditions, and the applicability is limited. In addition, most of the commercially available devices are of fixed volume specifications, and laboratories often need to configure multiple devices to meet the titration needs of different sample quantities, which increases the purchase cost and laboratory space occupation.

[0004] Moreover, the existing technology has a blank in the intelligent management of modern laboratories. The traditional electronic titrator usually does not have data networking function, and the experimental data needs to be manually exported and backed up, which is tedious and prone to errors, and cannot realize remote real-time monitoring of the experimental process and collaborative management of multiple devices. This not only increases the workload of researchers, but also hinders the systematic and intelligent upgrading of laboratory data management, which is difficult to meet the development trend of smart laboratories under the background of Internet of Things and big data technology. SUMMARY

[0005] In view of the above technical problems in the related art, the present application provides an intelligent titrator integrated with multi-spectrum and Internet of Things, which can overcome the above shortcomings of the prior art.

[0006] To achieve the above technical purposes, the technical solution of the present application is as follows: An intelligent titrator integrated with multi-spectrum and Internet of Things; The intelligent titrator integrated with multi-spectrum and Internet of Things comprises a titration main body module; The multi-specification burette assembly comprises detachable burettes of multiple specifications, which are connected with the burette body module through a sealed interface, and a specification identification device is arranged at the sealed interface to automatically identify the specification of the connected burette and match the corresponding titration parameters. The multi-spectral detection module comprises a high-resolution image sensor and a full-spectrum light source, and the image sensor is arranged above the titration cup to collect multi-spectral data of the solution in the visible light band. The intelligent processing module is integrated in the burette body module and is used to process the multi-spectral data and comprises a self-learning algorithm unit for titration endpoint judgment according to a user-defined endpoint judgment model. The Internet of Things communication module is used to realize cloud storage, remote monitoring and multi-device networking management of experimental data. The light shielding assembly is used to shield external light interference. The human-computer interaction module is used to display titration process information and receive user operation instructions.

[0007] Further, the multi-specification burette assembly comprises detachable burettes of three specifications of 50ml, 25ml and 10ml, and the minimum titration volume of each specification burette is 0.01ml, 0.005ml and 0.002ml respectively.

[0008] Further, the specification identification device is a radio frequency identification chip.

[0009] Further, the high-resolution image sensor is a CMOS image sensor with a resolution of not less than 8 million pixels, a response speed of not more than 0.8ms, and supporting 400-760nm visible light full-band detection.

[0010] Further, the full-spectrum light source is a full-spectrum LED light source with a color temperature range of 2700K-6500K, a color rendering index Ra≥95, and stable light source intensity output through PWM dimming technology.

[0011] Further, the intelligent processing module further comprises: An automatic focusing unit is used to realize fast focusing through a contrast automatic focusing algorithm. An automatic white balance adjustment unit is used to calibrate the color perception reference. A noise removal unit is used to perform noise reduction processing on the spectral signal.

[0012] Further, the self-learning algorithm unit supports the user to input the endpoint color characteristics and collect the spectral data of the standard titration process to generate and store the user-defined endpoint judgment model.

[0013] Further, the Internet of Things communication module supports WiFi and Bluetooth dual-mode communication, and has data encryption, remote device start-stop, firmware OTA upgrade and multi-device networking management functions.

[0014] Further, the human-computer interaction module includes a capacitive touch screen and physical keys, the capacitive touch screen has a size of 7 inches and a resolution of 1280*720, and supports multi-point touch.

[0015] Further, the light shielding assembly includes a black matte coating arranged on the inner wall of the detection cavity and an external detachable light shielding protective cover, and the reflectivity of the black matte coating is not greater than 5%.

[0016] The present application has the following advantages: by introducing multi-spectral detection and intelligent self-learning algorithm, the accuracy of titration endpoint determination and the adaptability to complex titration systems are significantly improved; by using multi-specification integrated design and Internet of Things communication function, the application range of the device is widened, the operation process is simplified, data cloud management and remote intelligent monitoring are realized, and finally the intelligent development of analytical instruments is promoted while reducing laboratory operating costs and labor input. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figures 1A-1C The complete flowchart of the integrated multi-spectral and Internet of Things intelligent titration instrument according to the present application is jointly shown; Figure 1A The first part of the flowchart is shown; Figure 1B Continued Figure 1A The second part of the flowchart is shown; Figure 1C Continued Figure 1B The third part of the flowchart is shown. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art belong to the scope of protection of the present application.

[0020] It is to be understood that the description of the embodiments of the present application is merely intended to facilitate description of the embodiments of the present application and simplify the description, and does not indicate or imply that the devices or elements indicated must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application. In addition, the terms "first", "second" are only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can be explicitly or implicitly included one or more of the features. In the description of the embodiments of the present application, the meaning of "several" is two or more, unless otherwise specifically limited.

[0021] As Figures 1A-1C shown, an integrated multi-spectral and Internet of Things intelligent titrator according to an embodiment of the present application includes a titration main body module, a multi-specification burette assembly, a multi-spectral detection module, an intelligent processing module, an Internet of Things communication module, a light shielding assembly, and a human-computer interaction module, which work together to solve the problems of the prior art. The specific implementation is as follows: Multi-specification burette assembly: equipped with three specifications of detachable burettes of 50ml, 25ml and 10ml, the burette is connected with the titration main body module through a sealed interface, and a specification identification device is arranged at the interface, which is a radio frequency identification chip (specific model MFRC522). The titration main body can automatically identify the specification of the connected burette and match the corresponding titration parameters, including the titration speed and the minimum titration volume, wherein the minimum titration volume of the 50ml specification is 0.01ml, the 25ml specification is 0.005ml, and the 10ml specification is 0.002ml, to meet the titration needs of different sample volumes.

[0022] Multi-spectral detection module: composed of a high-resolution image sensor and a full-spectrum light source. The high-resolution image sensor is a CMOS image sensor (resolution ≥ 8 million pixels, response speed ≤ 0.8ms), installed in the detection cavity directly above the titration cup, supporting 400-760nm visible light full-band detection, and can simultaneously collect solution spectral information at different wavelengths. The full-spectrum light source is a full-spectrum LED light source (color temperature coverage 2700K-6500K, color rendering index Ra ≥ 95), which is distributed around the inner wall of the detection cavity, and realizes stable output of light source intensity through PWM dimming technology.

[0023] Light shielding assembly: including a black matte coating (reflectivity ≤ 5%) arranged on the inner wall of the detection cavity and an external detachable light shielding protective cover (made of nylon and carbon fiber), which is used to completely isolate external light interference and ensure detection accuracy.

[0024] Intelligent processing module: integrated in the main control chip of the titration main body (specific model STM32H743VI, main frequency 480MHz), the algorithm is based on deep learning framework development, including the following core functions: Basic functions: automatic focusing (through contrast autofocus algorithm, focusing time ≤0.5s), automatic white balance adjustment (acquire reference white light signal after starting, calibrate color perception reference, support white balance parameter manual fine tuning), noise removal (use wavelet transform and Kalman filter fusion algorithm to denoise the spectral signal, signal-to-noise ratio improvement ≥30dB).

[0025] Self-learning function: support user-defined end point judgment model, when operating, user selects "self-learning mode", inputs experiment name (such as "EDTA complex titration of calcium and magnesium ions") and end point color characteristics (such as "purple red→blue"), device collects 3-5 groups of standard titration process spectral data, automatically extracts end point characteristic parameters (such as characteristic wavelength, absorbance change threshold), generates custom model and stores (supports SD card local storage and cloud backup, up to 100 custom models can be stored), subsequent same experiment can directly call custom model, no need to recalibrate.

[0026] Adaptive adjustment: according to titration type (such as acid-base, oxidation-reduction, complexation, etc.), automatically match preset model or call user-defined model, real-time analyze multi-spectral data, dynamically adjust judgment threshold (threshold adjustment accuracy ±0.001 absorbance unit).

[0027] Internet of things communication module: dual-mode communication design of WiFi and Bluetooth (WiFi module is ESP8266, supporting 802.11b / g / n protocol; Bluetooth module is BT5.0, supporting BLE low power consumption mode), realize the following functions: Data cloud storage: experimental data (including titration curve, end point volume, relative error, experiment time, operator information) is uploaded to laboratory private cloud or public cloud platform (supports Aliyun, Tencent cloud interface docking) in real time, uses AES-256 encryption algorithm to ensure data security, data storage period can be set (1-10 years), supports retrieval and export according to experiment name, date, specification, etc. (export formats include Excel, PDF, CSV).

[0028] Remote monitoring: user can real-time view titration process (including real-time image, spectral curve, progress percentage) through mobile phone APP or computer Web, support remote start and stop device, when device abnormity (such as titration tube leakage, light source failure), automatically send alarm information including APP push and / or SMS notification.

[0029] Device management: support multi-device networking management, remote update device firmware (OTA upgrade), synchronize calibration parameters, generate device usage statistics report (such as usage rate, failure times, maintenance reminders).

[0030] Human-computer interaction module: 7-inch capacitive touch screen with resolution of 1280*720 and multi-point touch support, interface display content includes current titration specification, real-time multi-spectral curve that can switch single wavelength / multi-wavelength display, experiment progress, end point judgment result, network connection state; Support physical button backup operation including power button and emergency stop button; Built-in speaker, can set end point prompt sound and fault alarm sound.

[0031] In addition, in this embodiment, the spectral data acquisition frequency of the multi-spectral detection module is adjustable (1-10 times / second), and real-time multi-wavelength spectral curve generation is supported. In alternative technical means, the CMOS sensor can be replaced by a CCD image sensor (such as Sony IMX290) with the same resolution; the full-spectrum LED light source can be replaced by a xenon lamp; the Internet of Things communication module can add a 5G module; the self-learning model training in the AI algorithm can use the transfer learning method to reduce the number of sample collection (at least 1 set of standard data can be trained).

[0032] In order to facilitate the understanding of the above technical solutions of the present application, the above technical solutions of the present application will be described in detail through specific use methods.

[0033] In specific use, according to the intelligent titrator integrated with multi-spectrum and Internet of Things according to the present application, the operator first selects and installs a detachable burette of 50ml, 25ml or 10ml specification according to the estimated volume of the sample to be measured. The titration main module automatically identifies the specification of the connected burette through the radio frequency identification chip at the sealing interface, and automatically matches the corresponding titration parameters such as titration speed and minimum drop volume accordingly.

[0034] After preparation, turn on the device power. The system performs initialization process (see Figure 1A ): the main control chip loads the basic parameters, the CMOS sensor in the multi-spectral detection module starts preheating and performs automatic device detection. If there is no abnormality, the system enters the white balance automatic calibration stage, collects the RGB data of the blank background for calculation, generates the calibration coefficient, and starts the noise removal algorithm based on wavelet transform and Kalman filter, to provide high signal-to-noise ratio signal basis for subsequent detection.

[0035] Subsequently, the operator selects or customizes the titration scene through the 7-inch capacitive touch screen. The intelligent processing module calls the scene model library (see Figure 1B), by real-time acquisition of solution color data and calculation of the rate of change, using cosine similarity and built-in acid-base, oxidation-reduction, complexation, etc. titration model matching. If the matching is successful, the corresponding end-point determination threshold is automatically loaded; if there is no matching model, the user is guided to manually set the end-point color feature range, and a new determination model is established in the self-learning mode.

[0036] After the titration process is formally started, the multi-spectral detection module continuously acquires multi-spectral data of the solution in the 400-760 nm visible light band at an adjustable frequency. The stable illumination is provided by the full-spectrum LED light source, and the light shielding assembly composed of black matte coating and external light shield effectively isolates external light interference. The data processing flow enters the end-point judgment stage (see Figure 1C ): the system calculates the deviation of the acquired spectral data from the preset end-point threshold in real time, and performs stability verification. When the continuous monitoring data meets the preset conditions, the system determines that the titration end-point has been reached.

[0037] After reaching the end-point, the main control chip immediately issues a "stop titration" instruction, and displays the titration volume, spectral curve, etc. result report through the human-computer interaction interface. At the same time, the Internet of Things communication module uploads the complete experimental data, including the titration curve, end-point volume, operator information, etc. to the designated cloud platform for encrypted storage in real time through WiFi or Bluetooth. Users can remotely monitor the entire experimental process through the mobile phone APP or computer Web, or uniformly manage multiple devices in a network.

[0038] In summary, the beneficial effects of the above technical solutions of the present application mainly lie in the technical, economic and social aspects: In terms of technical effects: through the acquisition of full-band spectral information by the multi-spectral detection module and the fusion processing of the intelligent self-learning algorithm, the adaptability to complex titration systems such as turbid liquid and multi-component mixed liquid is significantly improved, making the end-point judgment more accurate and reliable; at the same time, the integrated design of the multi-specification burette assembly enhances the operation flexibility of the device, which can adapt to the needs of various experimental scenarios; In terms of economic effects: one device can realize multi-specification titration function, effectively reducing the laboratory equipment procurement and space occupation costs, its automatic operation and cloud data management also greatly reduce the labor input and data processing time, and the remote maintenance function further optimizes the whole life cycle use cost; At the social effect level: the application provides more accurate and efficient analysis means for the fields of environmental monitoring, food detection, pharmaceutical research and development, and chemical production, promotes the development of titration instruments in the direction of high precision, intelligence and networking, and the data encryption and permission management mechanism thereof also guarantees the security and compliance of experimental data.

[0039] The above merely describes preferred embodiments of the application and is not intended to limit the application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall be included in the protection scope of the application.

Claims

1. A smart titrator integrating multispectral and Internet of Things technologies, characterized in that, Includes the titration main module; A multi-specification burette assembly includes detachable burettes of various specifications. The burettes are connected to the titration main module through a sealed interface. The sealed interface is equipped with a specification identification device for automatically identifying the specification of the connected burette and matching the corresponding titration parameters. The multispectral detection module includes a high-resolution image sensor and a full-spectrum light source. The image sensor is positioned above the titration cup and is used to acquire multispectral data of the solution in the visible light band. The intelligent processing module, integrated into the titration main module, is used to process the multispectral data and includes a self-learning algorithm unit for determining the titration endpoint based on a user-defined endpoint determination model. The Internet of Things (IoT) communication module is used to realize cloud storage, remote monitoring and multi-device network management of experimental data; Light shielding components are used to isolate external light interference; The human-computer interaction module is used to display titration process information and receive user operation commands.

2. The intelligent titrator integrating multispectral and Internet of Things as described in claim 1, characterized in that, The multi-specification burette assembly includes three detachable burettes in sizes of 50ml, 25ml, and 10ml, with minimum drop volumes of 0.01ml, 0.005ml, and 0.002ml for each size, respectively.

3. The intelligent titrator integrating multispectral and Internet of Things as described in claim 1, characterized in that, The specification identification device is a radio frequency identification chip.

4. The intelligent titrator integrating multispectral and Internet of Things as described in claim 1, characterized in that, The high-resolution image sensor is a CMOS image sensor with a resolution of no less than 8 million pixels, a response speed of no more than 0.8ms, and supports full-band visible light detection from 400 to 760nm.

5. The intelligent titrator integrating multispectral and Internet of Things according to claim 1, characterized in that, The full-spectrum light source is a full-spectrum LED light source with a color temperature range of 2700K-6500K and a color rendering index Ra≥95. It achieves stable output of light source intensity through PWM dimming technology.

6. The intelligent titrator integrating multispectral and Internet of Things according to claim 1, characterized in that, The intelligent processing module also includes: An autofocus unit is used to achieve fast focusing through a contrast autofocus algorithm; Automatic white balance adjustment unit is used to calibrate color perception reference; The noise removal unit is used to reduce noise in the spectral signal.

7. The intelligent titrator integrating multispectral and Internet of Things according to claim 1, characterized in that, The self-learning algorithm unit allows users to generate and store a custom endpoint determination model by inputting endpoint color features and collecting spectral data from the standard titration process.

8. The intelligent titrator integrating multispectral and Internet of Things according to claim 1, characterized in that, The IoT communication module supports dual-mode communication via WiFi and Bluetooth, and features data encryption, remote device start / stop, firmware OTA upgrade, and multi-device network management.

9. The intelligent titrator integrating multispectral and Internet of Things according to claim 1, characterized in that, The human-computer interaction module includes a capacitive touch screen and physical buttons. The capacitive touch screen is 7 inches in size, has a resolution of 1280×720, and supports multi-touch.

10. The intelligent titrator integrating multispectral and Internet of Things according to claim 1, characterized in that, The light shielding assembly includes a black matte coating disposed on the inner wall of the detection chamber and an external removable light-shielding protective cover, wherein the reflectivity of the black matte coating is no greater than 5%.

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