Medical raw material remote monitoring, mixing and drying system based on Internet of Things

Abstract

The invention discloses a medicine raw material remote monitoring, mixing and drying system based on the Internet of Things, and relates to the technical field of medicine raw material drying remote monitoring. The medicine raw material remote monitoring, mixing and drying system based on the Internet of Things comprises a data monitoring module, a data transmission module, a remote monitoring module and a drying evaluation module. Real-time data in the medical raw material drying process are collected and preprocessed to obtain key data, and then the comprehensive raw material loss coincidence index is obtained through the key data and fed back; and finally, obtaining a comprehensive drying evaluation index according to the comprehensive raw material loss coincidence index and the energy consumption condition of the equipment, and carrying out comprehensive evaluation to obtain a comprehensive evaluation result, thereby achieving the effect of reducing the raw material loss rate in the remote monitoring medicine raw material mixed drying. The problem that in the prior art, the raw material loss rate is high during remote monitoring of medicine raw material mixing and drying is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring of pharmaceutical raw material drying, and in particular to a pharmaceutical raw material remote monitoring and mixing drying system based on the Internet of Things. Background Art

[0002] With the continuous development of Internet of Things technology and the continuous expansion of its application fields, various high-tech terminals have emerged. The pharmaceutical industry plays a pivotal role in my country. The drying project of pharmaceutical raw materials is not only one of the key links to ensure the quality and efficacy of medicinal materials, but also one of the important means to improve production efficiency, reduce costs, meet the needs of large-scale production, and improve the quality and safety of drugs. The Internet of Things promotes the intelligence and efficiency of the medical industry by realizing remote monitoring and management of the mixed drying of pharmaceutical raw materials.

[0003] The existing remote monitoring and mixed drying of pharmaceutical raw materials uses sensors to monitor key parameters inside the drying equipment and in the surrounding environment, and then uses an intelligent control system based on the collected data to automatically adjust the operating parameters of the drying equipment. Operators can remotely monitor the drying process through a secure network connection to ensure the continuity and safety of the production process.

[0004] For example, the invention patent with announcement number: CN105974902B announces an intelligent shoe cabinet system and control method based on the Internet of Things. Without manual control by the user, the linear Hall sensor installed on the shoe rack automatically detects whether there are shoes placed on the shoe rack. When shoes are placed in, the temperature and humidity sensors and semiconductor air quality sensors detect the temperature and humidity inside the shoes, as well as the concentration of polluted gases. Under the control of the main control processor, the system automatically completes the sterilization, deodorization, drying and dehumidification of the shoes. The real-time working status is transmitted to the external cloud server and mobile client through the Wi-Fi module, and the user can query and control the working status of the shoe cabinet at any time.

[0005] For example, the invention patent with announcement number CN104049623B announces a remote real-time monitoring and management system for grain drying machines based on the Internet of Things. The monitoring center is used to remotely monitor the working conditions and security conditions of all dryers managed; the central display screen is used to display and monitor the grain flow, drying speed, start and stop status, running time, drying temperature, grain moisture content and all other information collected on-site from the dryer. The monitoring center sets warning lines for the operating parameters of the dryer according to the model of the grain dryer and the local climate. The warning line parameters are obtained from the optimal algorithm mathematical model. Once the operating parameters of the dryer exceed the warning line during operation, the computer will immediately alarm and the monitoring center will send a control command to the dryer in another place to stop the equipment. The monitoring center provides a database to store and save historical data in order to provide trend data and print business data reports.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, during the drying process of pharmaceutical raw materials, if the temperature is too high, the active ingredients in the raw materials will be lost. If the temperature is too low, the drying time may be too long, increasing the risk of raw material deterioration. Improper humidity control may also cause condensation or excessive drying on the surface of the raw materials. There is a problem of high raw material loss rate in remote monitoring of mixed drying of pharmaceutical raw materials. Summary of the invention

[0007] The embodiment of the present application solves the problem of high raw material loss rate in remote monitoring of mixed drying of pharmaceutical raw materials in the prior art by providing a remote monitoring mixed drying system for pharmaceutical raw materials based on the Internet of Things, and achieves a reduction in the raw material loss rate in remote monitoring mixed drying of pharmaceutical raw materials.

[0008] The embodiment of the present application provides a remote monitoring and mixed drying system for pharmaceutical raw materials based on the Internet of Things, including: a data monitoring module, a data transmission module, a remote monitoring module and a drying evaluation module; wherein the data monitoring module is used to collect real-time data during the drying process of pharmaceutical raw materials, and at the same time pre-process the collected real-time data to obtain key data and store them; the data transmission module is used to encapsulate the key data and transmit it to the remote monitoring and mixed drying supervision platform for pharmaceutical raw materials, and the remote monitoring and mixed drying supervision platform for pharmaceutical raw materials performs data restoration; the remote monitoring module is used to display the real-time status and historical data of the drying process, and obtain a comprehensive raw material loss compliance index through temperature monitoring and humidity monitoring of the drying process, as well as the quality change before and after the drying of the pharmaceutical raw materials, and provide feedback, the comprehensive raw material loss compliance index is used to describe the degree of compliance between the actual raw material loss situation of the remote monitoring and mixed drying system for pharmaceutical raw materials and the reference loss situation; the drying evaluation module is used to obtain a comprehensive drying evaluation index according to the comprehensive raw material loss compliance index and the energy consumption of the equipment, and to obtain a comprehensive evaluation result according to the comprehensive drying evaluation index, and to visually display it in the form of a chart, the comprehensive drying evaluation index is used to describe the comprehensive drying performance of the remote monitoring and mixed drying system for pharmaceutical raw materials, and the comprehensive evaluation result is used to describe the equipment performance of the remote monitoring and mixed drying system for pharmaceutical raw materials.

[0009] Furthermore, the data monitoring module includes a real-time data acquisition unit and a data processing unit; the real-time data acquisition unit is used to collect real-time data during the drying process of the pharmaceutical raw materials and transmit it to the data processing unit, and the real-time data includes temperature, humidity, air flow velocity and quality of the pharmaceutical raw materials to be dried; the data processing unit is used to pre-process the real-time data to obtain key data and perform storage management, and the pre-processing includes data cleaning, data verification and data compression.

[0010] Furthermore, the specific process of the preprocessing is as follows: performing data cleaning on the collected real-time data to obtain first real-time data, and the data cleaning includes removing outliers and filling missing values; performing parity check on the first real-time data to obtain second real-time data; performing Gzip compression on the second real-time data to obtain key data.

[0011] Furthermore, the data transmission module includes a key data encapsulation unit, a key data communication unit and a key data restoration unit; the key data encapsulation unit is used to encapsulate the acquired key data and transmit it to the key data communication unit; the key data communication unit is used to transmit the encapsulated key data to the remote monitoring, mixing and drying supervision platform for pharmaceutical raw materials through optical fiber transmission; the key data restoration unit is used to decompress and restore the received key data after data encapsulation processing, and automatically back up before restoration.

[0012] Furthermore, the remote monitoring module includes a data display unit, a monitoring alarm unit and a data storage unit; the data display unit is used to display the key data and historical data restored by the remote monitoring, mixing and drying supervision platform of pharmaceutical raw materials in real time; the monitoring alarm unit obtains the comprehensive raw material loss compliance index according to the key data of the data display unit, and determines whether the comprehensive raw material loss compliance index is within a preset threshold range. If it exceeds the preset threshold range, an audible and visual alarm is issued, otherwise the comprehensive raw material loss compliance index is transmitted to the data management library; the data storage unit is used to store and back up key data, historical data and the comprehensive raw material loss compliance index.

[0013] Furthermore, a specific method for obtaining the comprehensive raw material loss compliance index is as follows: numbering the pharmaceutical raw materials to be dried according to the types of pharmaceutical raw materials, and obtaining the quality of the pharmaceutical raw materials with corresponding numbers, wherein the quality of the pharmaceutical raw materials is used to describe the initial quality of the pharmaceutical raw materials; obtaining the quality of the pharmaceutical raw materials during the drying process within a preset time interval, and determining whether the obtained quality of the pharmaceutical raw materials has at least two consecutive identical values, if so, recording the quality of the pharmaceutical raw materials at this time as the final quality, otherwise continuing to obtain the quality of the pharmaceutical raw materials until the final quality is obtained; obtaining the comprehensive raw material loss compliance index through changes in the quality of the pharmaceutical raw materials and based on the comprehensive raw material loss reference deviation and the preset weight.

[0014] Furthermore, the comprehensive raw material loss compliance index is calculated using the following formula: ; In the formula, Indicates that the comprehensive raw material loss meets the index, Indicates the type number of pharmaceutical raw materials. , Indicates the total types of pharmaceutical raw materials, represents the quality of the i-th pharmaceutical raw material, represents the final mass of the i-th pharmaceutical raw material, represents the preset weight of the i-th pharmaceutical raw material, Represents the reference deviation of quality loss of the i-th pharmaceutical raw material.

[0015] Furthermore, a specific method for obtaining the comprehensive drying evaluation index is as follows: during the drying process of the pharmaceutical raw materials, the temperature of the pharmaceutical raw materials within a preset time interval is obtained by an infrared thermometer, the average temperature during the drying process of the pharmaceutical raw materials is obtained by statistics, and the corresponding preset threshold and reference deviation are obtained at the same time; the humidity of the pharmaceutical raw materials during the drying process within a preset time interval is obtained by collecting humidity sensors deployed in the drying system, the average humidity during the drying process of the pharmaceutical raw materials is obtained by statistics, and the corresponding preset threshold and reference deviation are obtained at the same time; the comprehensive raw material loss compliance index of the pharmaceutical raw materials is obtained, and the corresponding preset threshold and reference deviation are obtained at the same time; the comprehensive drying evaluation index is obtained in combination with the evaluation weights obtained from the preset database, and the evaluation weights include temperature weights, humidity weights and comprehensive raw material loss compliance index weights.

[0016] Furthermore, the comprehensive drying evaluation index is calculated using the following formula: ; In the formula, Indicates the type number of pharmaceutical raw materials. , represents the total types of pharmaceutical raw materials, R represents the comprehensive drying evaluation index of pharmaceutical raw materials, represents the mean value of the temperature change during the drying process of the i-th pharmaceutical raw material, Indicates the preset threshold value of the temperature during the drying process of pharmaceutical raw materials. Indicates the temperature accuracy reference deviation, represents the mean change of humidity during the drying process of the i-th pharmaceutical raw material, Indicates the preset threshold of humidity during the drying process of pharmaceutical raw materials. Indicates the humidity accuracy reference deviation, Indicates that the comprehensive raw material loss of pharmaceutical raw materials meets the index, It means that the comprehensive raw material loss meets the index accuracy reference deviation, represents the temperature weight, represents the humidity weight, Indicates that the comprehensive raw material loss is in line with the index weight.

[0017] Furthermore, the specific process of performing a comprehensive evaluation based on the comprehensive drying evaluation index to obtain a comprehensive evaluation result is as follows: obtaining the comprehensive drying evaluation index, performing grading based on the comprehensive drying evaluation index to obtain a grading result, and the grading result is used to visualize the comprehensive drying evaluation index; drawing a comprehensive drying evaluation comparison chart based on the grading result to obtain a comprehensive evaluation result, and drawing a drying evaluation comparison chart in combination with the comprehensive raw material loss compliance index and the drying data, the drying data representing key data in the operation process of the remote monitoring mixed drying system for pharmaceutical raw materials.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By collecting real-time data during the drying process of pharmaceutical raw materials and preprocessing them to obtain key data and store them at the same time, the key data is then packaged and transmitted to the pharmaceutical raw material remote monitoring mixed drying supervision platform for data restoration, and then the comprehensive raw material loss compliance index is obtained through data monitoring of the drying process and feedback is given, and finally a comprehensive evaluation is performed to obtain a comprehensive evaluation result, thereby achieving the timeliness of the operation of the pharmaceutical raw material remote monitoring mixed drying system, and then achieving the reduction of the raw material loss rate in the remote monitoring of pharmaceutical raw material mixed drying, effectively solving the problem of high raw material loss rate in the remote monitoring of pharmaceutical raw material mixed drying in the prior art.

[0019] 2. The pharmaceutical raw materials to be dried are numbered according to their types, and the initial and final masses of the pharmaceutical raw materials with corresponding numbers are obtained. At the same time, the comprehensive raw material loss compliance index is obtained according to the changes in the quality of the pharmaceutical raw materials, the comprehensive raw material loss reference deviation and the preset weights, thereby realizing the digitization of the raw material loss situation, and then realizing a more accurate assessment of the raw material loss rate of the remote monitoring and mixing drying system of pharmaceutical raw materials.

[0020] 3. By obtaining the average temperature and humidity during the drying process of pharmaceutical raw materials, and calculating the comprehensive drying evaluation index based on the comprehensive raw material loss compliance index and evaluation weight of the pharmaceutical raw materials, the comprehensive drying performance of the remote monitoring and mixed drying system of pharmaceutical raw materials is quantified, thereby achieving a more accurate evaluation of the comprehensive drying performance of the remote monitoring and mixed drying system of pharmaceutical raw materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of the structure of a remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things provided in an embodiment of the present application; Figure 2 A structural schematic diagram of a data monitoring module in a remote monitoring and mixing drying system for pharmaceutical raw materials based on the Internet of Things provided in an embodiment of the present application; Figure 3A schematic diagram of the structure of a remote monitoring module in a remote monitoring and mixing drying system for pharmaceutical raw materials based on the Internet of Things provided in an embodiment of the present application; Figure 4 This is a graph showing changes in the comprehensive drying evaluation index provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The embodiment of the present application solves the problem of high raw material loss rate in the remote monitoring and mixing drying of pharmaceutical raw materials in the prior art by providing a remote monitoring and mixing drying system for pharmaceutical raw materials based on the Internet of Things. The system collects real-time data during the drying process of pharmaceutical raw materials, pre-processes the collected real-time data to obtain key data and stores it, then encapsulates the key data and transmits it to a remote monitoring and mixing drying supervision platform for pharmaceutical raw materials, which then performs data restoration. Then, by monitoring the temperature and humidity of the drying process, as well as the quality changes before and after the drying of the pharmaceutical raw materials, a comprehensive raw material loss compliance index is obtained and feedback is provided. Finally, a comprehensive drying evaluation index is obtained based on the comprehensive raw material loss compliance index and the energy consumption of the equipment, and a comprehensive evaluation is performed to obtain a comprehensive evaluation result, thereby achieving a reduction in the raw material loss rate in the remote monitoring and mixing drying of pharmaceutical raw materials.

[0023] The technical solution in the embodiment of the present application is to solve the problem of high raw material loss rate in the above-mentioned remote monitoring of the mixed drying of pharmaceutical raw materials. The overall idea is as follows: By collecting real-time data during the drying process of pharmaceutical raw materials and preprocessing them to obtain key data, the key data is then packaged and transmitted to the supervision platform for data restoration. The comprehensive raw material loss compliance index is then obtained through the key data and feedback is given. Finally, a comprehensive evaluation is performed to obtain a comprehensive evaluation result, thereby achieving the effect of reducing the raw material loss rate in remote monitoring of the mixed drying of pharmaceutical raw materials.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] like Figure 1As shown, it is a structural schematic diagram of the remote monitoring and mixing drying system of pharmaceutical raw materials based on the Internet of Things provided in the embodiment of the present application. The remote monitoring and mixing drying system of pharmaceutical raw materials based on the Internet of Things provided in the embodiment of the present application includes: a data monitoring module, a data transmission module, a remote monitoring module and a drying evaluation module; wherein the data monitoring module is used to collect real-time data during the drying process of pharmaceutical raw materials, and at the same time pre-process the collected real-time data to obtain key data and store it; the data transmission module is used to encapsulate the key data and transmit it to the remote monitoring and mixing drying supervision platform of pharmaceutical raw materials, and the remote monitoring and mixing drying supervision platform of pharmaceutical raw materials performs data restoration; the remote monitoring module is used to display the real-time status and historical data of the drying process, By monitoring the temperature and humidity of the drying process, as well as the quality changes before and after drying of pharmaceutical raw materials, a comprehensive raw material loss compliance index is obtained and feedback is provided. The comprehensive raw material loss compliance index is used to describe the degree of compliance between the actual raw material loss situation and the reference loss situation of the remote monitoring mixed drying system of pharmaceutical raw materials; the drying evaluation module is used to obtain a comprehensive drying evaluation index based on the comprehensive raw material loss compliance index and the energy consumption of the equipment, and a comprehensive evaluation is performed based on the comprehensive drying evaluation index to obtain a comprehensive evaluation result, which is visualized in the form of a chart. The comprehensive drying evaluation index is used to describe the comprehensive drying performance of the remote monitoring mixed drying system of pharmaceutical raw materials, and the comprehensive evaluation result is used to describe the equipment performance of the remote monitoring mixed drying system of pharmaceutical raw materials.

[0026] In this embodiment, the raw material loss situation is judged by the comprehensive raw material loss compliance index. If the comprehensive raw material loss compliance index exceeds the preset threshold, it indicates that there is an abnormality in the drying process, wherein the preset threshold is set by professionals according to industry standards or business objectives in the medical field. When the system captures the abnormality, it will give a feedback alarm to avoid further loss of raw materials. Since the influencing factors in the drying process include temperature and humidity, the calculation of the comprehensive drying evaluation index can further comprehensively evaluate the drying process, as well as evaluate the comprehensive drying performance of the remote monitoring mixed drying system for pharmaceutical raw materials. The raw material loss rate in the remote monitoring mixed drying system for pharmaceutical raw materials is accurately calculated.

[0027] Further, such as Figure 2 As shown, it is a structural schematic diagram of the data monitoring module in the remote monitoring and mixing drying system of pharmaceutical raw materials based on the Internet of Things provided in an embodiment of the present application. The data monitoring module includes a real-time data acquisition unit and a data processing unit; the real-time data acquisition unit: is used to collect real-time data during the drying process of the pharmaceutical raw materials and transmit it to the data processing unit. The real-time data includes temperature, humidity, air flow velocity and quality of the pharmaceutical raw materials to be dried; the data processing unit: is used to pre-process the real-time data to obtain key data and perform storage management. The pre-processing includes data cleaning, data verification and data compression.

[0028] In this embodiment, in the process of transmitting the real-time data acquisition unit to the data processing unit, data may be missing due to various reasons such as sensor failure and data transmission problems. If these missing values ​​are not processed, it will lead to inaccurate subsequent calculations; abnormal values ​​are usually caused by measurement errors, equipment failures or other unforeseen factors. These values ​​will seriously interfere with the accuracy of data analysis, so they need to be identified and removed through statistical methods or domain knowledge. Commonly used statistical methods include the quartile method and the normal distribution method. Statistical methods are used to preliminarily identify abnormal values. The abnormal values ​​can be obtained by calculating the mean and standard deviation of the data. The abnormal value is defined as an observation value that differs from the mean by more than several times the standard deviation, generally twice; then a reasonable range is set according to the business rule logic, and the accuracy of the abnormal value is judged by professionals; the real-time data collected is stored and managed, which can include databases, file systems, and cloud storage to ensure the security and reliability of the data; the accuracy of data acquisition in the remote monitoring and mixing drying system of pharmaceutical raw materials is improved.

[0029] Furthermore, the specific process of preprocessing is as follows: performing data cleaning on the collected real-time data to obtain the first real-time data, the data cleaning includes removing outliers and filling missing values; performing parity check on the first real-time data to obtain the second real-time data; performing Gzip compression on the second real-time data to obtain key data.

[0030] In this embodiment, the abnormal values ​​detected based on the set values ​​of the business rules are replaced with values ​​within a reasonable range, or these data points are directly deleted, and the missing data are filled by interpolation to obtain the first real-time data; parity bits are added to the data to obtain the second real-time data, and format verification, range verification, consistency verification and uniqueness verification can also be used; the Gzip algorithm is used to losslessly compress the second real-time data to reduce storage space and improve transmission efficiency to obtain key data; the data reliability of the remote monitoring and mixing drying system of pharmaceutical raw materials is improved.

[0031] Furthermore, the data transmission module includes a key data encapsulation unit, a key data communication unit and a key data restoration unit; the key data encapsulation unit is used to encapsulate the acquired key data and transmit it to the key data communication unit; the key data communication unit is used to transmit the encapsulated key data to the remote monitoring, mixing and drying supervision platform for pharmaceutical raw materials through optical fiber transmission; the key data restoration unit is used to decompress and restore the received key data after data encapsulation processing, and automatically back up before restoration.

[0032] In this embodiment, the process of encapsulating the acquired key data includes data encryption and verification. A symmetric or asymmetric encryption algorithm (such as Advanced Encryption Standard, Rivest-Shamir-Adleman) can be used to encrypt the data, and a check code (such as Cyclic Redundancy Check) can be generated to verify the integrity of the data; the information after data encapsulation is transmitted using an optical fiber network, and when the transmission distance is long, a relay device can be used to ensure the strength and stability of the signal; after receiving the key data after data encapsulation, the corresponding decompression algorithm is used to restore the data to its original size, the decryption algorithm corresponding to the encryption is used to restore the data content, and the integrity of the data is verified by the check code, and finally, a backup is automatically performed before data restoration to ensure the security of the data during the decapsulation process; the data security of the remote monitoring and mixing drying system of pharmaceutical raw materials is improved.

[0033] Further, such as Figure 3 As shown, it is a structural schematic diagram of the remote monitoring module in the remote monitoring and mixing drying system of pharmaceutical raw materials based on the Internet of Things provided in an embodiment of the present application, and the remote monitoring module includes a data display unit, a monitoring alarm unit and a data storage unit; the data display unit: is used to display the key data and historical data restored by the remote monitoring and mixing drying supervision platform of pharmaceutical raw materials in real time, and the real-time display means creating dynamic and real-time updated charts and data sets through the data visualization tool of Power BI; the monitoring alarm unit: obtains the comprehensive raw material loss compliance index according to the key data of the data display unit, and determines whether the comprehensive raw material loss compliance index is within the preset threshold range. If it exceeds the preset threshold range, an audible and visual alarm is issued, otherwise the comprehensive raw material loss compliance index is transmitted to the data management library; the data storage unit: is used to store and back up the key data, historical data and the comprehensive raw material loss compliance index.

[0034] In this embodiment, the data display unit is responsible for displaying the key data and historical data of the drying process in real time, using data visualization tools such as Power BI to create dynamic and real-time updated charts and data sets, and transmitting the key data and historical data to Power BI through an API interface or a data flow pipeline for graphical display of real-time data; based on the key information obtained, the comprehensive raw material loss compliance index is monitored in real time to determine whether there is an abnormality. If there is an abnormality, an audible and visual alarm is triggered, and the comprehensive raw material loss rate is uploaded to the data management library at the same time, and the historical data is archived to release storage space and improve system performance; the raw material loss visualization of the remote monitoring mixed drying platform for pharmaceutical raw materials is realized.

[0035] Furthermore, a specific method for obtaining the comprehensive raw material loss compliance index is as follows: the pharmaceutical raw materials to be dried are numbered according to their types, and the quality of the pharmaceutical raw materials with corresponding numbers is obtained, where the quality of the pharmaceutical raw materials is used to describe the initial quality of the pharmaceutical raw materials; the quality of the pharmaceutical raw materials during the drying process is obtained within a preset time interval, and it is determined whether the obtained quality of the pharmaceutical raw materials has at least two consecutive identical values, if so, the quality of the pharmaceutical raw materials at this time is recorded as the final quality, otherwise the quality of the pharmaceutical raw materials is continued to be obtained until the final quality is obtained; the comprehensive raw material loss compliance index is obtained through changes in the quality of the pharmaceutical raw materials and based on the comprehensive raw material loss reference deviation and preset weights, where the preset weights represent the degree of influence of each pharmaceutical raw material on the comprehensive raw material loss compliance index.

[0036] In this embodiment, each pharmaceutical raw material is numbered before drying to ensure that each raw material has a unique identifier throughout the process, and the quality of the pharmaceutical raw material before drying is obtained. The difference between the final quality and the initial quality is the loss of the raw material, and professionals refer to industry standards and historical data to obtain a reference deviation for the comprehensive raw material loss; professionals preset a preset weight for each pharmaceutical raw material based on the degree of influence of each pharmaceutical raw material on the comprehensive raw material loss compliance index; and the concretization of the types of pharmaceutical raw material loss during the remote monitoring and mixing drying process of pharmaceutical raw materials is realized.

[0037] Furthermore, the comprehensive raw material loss compliance index is calculated using the following formula: ; In the formula, Indicates that the comprehensive raw material loss meets the index, Indicates the type number of pharmaceutical raw materials. , Indicates the total types of pharmaceutical raw materials, represents the quality of the i-th pharmaceutical raw material, represents the final mass of the i-th pharmaceutical raw material, represents the preset weight of the i-th pharmaceutical raw material, Represents the reference deviation of quality loss of the i-th pharmaceutical raw material.

[0038] In this embodiment, assuming that K=3, the comprehensive raw material loss compliance index can be calculated by the above method. The statistical table of changes in the comprehensive raw material loss compliance index is shown in Table 1: Table 1 Statistics of changes in comprehensive raw material loss compliance index

[0039] The comprehensive raw material loss compliance index can be used to measure the comprehensive loss of raw materials. The comprehensive raw material loss compliance index within the preset threshold range indicates that the loss of raw materials is still within the controllable range. The abnormal comprehensive raw material loss compliance index beyond the range indicates that the raw material loss is significantly different from the reference value and requires further inspection or calibration. Since the weights of different raw materials contribute differently to the comprehensive index, raw materials with large weights (such as the second raw material in the table) have a greater impact on the comprehensive index, and therefore require more attention in loss management. The range of preset thresholds is set by professionals according to standards in the field. The numerical evaluation of the comprehensive raw material loss compliance index is realized.

[0040] Furthermore, a specific method for obtaining the comprehensive drying evaluation index is as follows: during the drying process of the pharmaceutical raw materials, the temperature of the pharmaceutical raw materials within a preset time interval is obtained by an infrared thermometer, the average temperature of the pharmaceutical raw materials during the drying process is obtained by statistics, and the corresponding preset threshold and reference deviation are obtained at the same time; the humidity of the pharmaceutical raw materials during the drying process within a preset time interval is obtained by collecting humidity sensors deployed in the drying system, the average humidity of the pharmaceutical raw materials during the drying process is obtained by statistics, and the corresponding preset threshold and reference deviation are obtained at the same time; the comprehensive raw material loss compliance index of the pharmaceutical raw materials is obtained, and the corresponding preset threshold and reference deviation are obtained at the same time; the comprehensive drying evaluation index is obtained by combining the evaluation weights obtained from the preset database, and the evaluation weights include temperature weights, humidity weights and comprehensive raw material loss compliance index weights.

[0041] In this embodiment, the temperature weight represents the degree of influence of temperature change on the comprehensive drying evaluation index, the humidity weight represents the degree of influence of humidity change on the comprehensive drying evaluation index, and the comprehensive raw material loss compliance index weight represents the degree of influence of the comprehensive raw material loss compliance index on the comprehensive drying evaluation index; specifically, the temperature weight is obtained from a preset database, and in a specific embodiment, the energy consumed by the heating equipment during the drying process in a historical time period is fitted with the corresponding working time to obtain a fitting curve, and the corresponding temperature weight is determined according to the fitting curve; the humidity weight is obtained from a preset database, and the energy consumed by the drying equipment during the drying process in a historical time period is fitted with the corresponding working time to obtain a fitting curve, and the corresponding humidity weight is determined according to the fitting curve; the comprehensive raw material loss compliance index weight is set by professionals based on historical data and professional rules in the field.

[0042] Specifically, a comprehensive drying evaluation index is obtained by combining temperature, humidity and comprehensive raw material loss compliance index, wherein the temperature can be obtained through an infrared thermometer and a temperature sensor deployed on the drying equipment, and the corresponding preset threshold value and reference deviation are obtained at the same time, and these values ​​are used to evaluate the stability and compliance of the temperature during the drying process; the humidity change is obtained through a humidity sensor, and the corresponding preset threshold value and reference deviation are obtained to evaluate the control and rationality of the humidity during the drying process; the comprehensive raw material loss compliance index is obtained, and the corresponding weights are preset by professionals and the corresponding reference deviations are obtained based on historical data, and the comprehensive drying evaluation index can be calculated; the stability of the remote monitoring mixed drying system for pharmaceutical raw materials is realized.

[0043] Furthermore, the comprehensive drying evaluation index is calculated using the following formula: ; In the formula, Indicates the type number of pharmaceutical raw materials. , represents the total types of pharmaceutical raw materials, R represents the comprehensive drying evaluation index of pharmaceutical raw materials, represents the mean value of the temperature change during the drying process of the i-th pharmaceutical raw material, Indicates the preset threshold value of the temperature during the drying process of pharmaceutical raw materials. Indicates the temperature accuracy reference deviation, represents the mean change of humidity during the drying process of the i-th pharmaceutical raw material, Indicates the preset threshold of humidity during the drying process of pharmaceutical raw materials. Indicates the humidity accuracy reference deviation, Indicates that the comprehensive raw material loss of pharmaceutical raw materials meets the index, It means that the comprehensive raw material loss meets the index accuracy reference deviation, represents the temperature weight, represents the humidity weight, Indicates that the comprehensive raw material loss is in line with the index weight.

[0044] In this embodiment, the main indicators in the drying process are temperature and humidity as well as the comprehensive raw material loss compliance index; therefore, taking the study of the changes in the comprehensive drying evaluation index with the comprehensive raw material loss compliance index and the mean temperature change as an example, the correlation and mutual influence between the main indicators are considered in a quantitative manner, and a mathematical formula is established through comprehensive analysis, which can accurately quantify the degree of comprehensive drying.

[0045] like Figure 4As shown, it is a comprehensive drying evaluation index change graph provided in an embodiment of the present application. When the total number of pharmaceutical raw materials is 3, the corresponding temperature weight is 0.4, the humidity weight is 0.3, the comprehensive raw material loss compliance index weight is 0.3, the corresponding temperature preset threshold is 25°C, the humidity preset threshold is 50, the fixed humidity change mean is a constant 45, the temperature accuracy reference deviation is 5°C, the humidity accuracy reference deviation is 10, and the comprehensive raw material loss compliance index accuracy reference deviation is 0.1. Taking the temperature change mean as an example, as the temperature change mean increases, the comprehensive drying evaluation index gradually increases; the effective judgment of the comprehensive drying degree of the remote monitoring mixed drying system of pharmaceutical raw materials is realized.

[0046] Furthermore, the specific process of conducting a comprehensive evaluation based on the comprehensive drying evaluation index to obtain a comprehensive evaluation result is as follows: obtaining the comprehensive drying evaluation index, performing grading based on the comprehensive drying evaluation index to obtain a grading result, and using the grading result to visualize the comprehensive drying evaluation index; drawing a comprehensive drying evaluation comparison chart based on the grading result to obtain a comprehensive evaluation result, and drawing a drying evaluation comparison chart in combination with the comprehensive raw material loss compliance index and the drying data. The drying evaluation comparison chart includes a scatter plot, a line graph, a time series dynamic graph, and a safety graph. The drying data represents key data during the operation of the remote monitoring mixed drying system for pharmaceutical raw materials.

[0047] In this embodiment, the general grading methods include weighted average method, worst performance method, multi-factor analysis method, fuzzy comprehensive evaluation method, hierarchical analysis method and principal component analysis method. The applicable situations of each method are different. For example, the weighted average method is applicable to situations where there are clear priorities or importance differences between indicators. Specifically, one or more methods can be selected for comprehensive grading according to actual conditions; the drying evaluation comparison chart includes scatter plots, line charts, time series dynamic charts and safety charts, which can be drawn by using various data visualization tools and libraries such as Matplotlib in Python; for example: a safety chart of temperature and humidity can be drawn, the safe operating range can be marked, and it can be checked whether there are data points beyond the safety range; the precision and visualization of the comprehensive drying evaluation index are improved.

[0048] To summarize, the embodiment of the present application collects real-time data during the drying process of pharmaceutical raw materials and performs preprocessing to obtain key data and store them simultaneously, then encapsulates the key data and transmits it to the pharmaceutical raw material remote monitoring mixed drying supervision platform for data restoration, then obtains the comprehensive raw material loss compliance index through data monitoring of the drying process and provides feedback, and finally performs a comprehensive evaluation to obtain a comprehensive evaluation result, thereby achieving the timeliness of the operation of the pharmaceutical raw material remote monitoring mixed drying system, and further achieving the reduction of the raw material loss rate in the remote monitoring of pharmaceutical raw material mixed drying.

[0049] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0050] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that performs the functions specified in one or more boxes.

[0051] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 The performance specified in one or more boxes.

[0052] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for specifying performance in one or more boxes.

[0053] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0054] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things, characterized in that: It includes data monitoring module, data transmission module, remote monitoring module and drying evaluation module; The data monitoring module is used to collect real-time data during the drying process of pharmaceutical raw materials, and pre-process the collected real-time data to obtain key data and store them; The data transmission module is used to encapsulate the key data and transmit it to the pharmaceutical raw material remote monitoring, mixing and drying supervision platform, and the pharmaceutical raw material remote monitoring, mixing and drying supervision platform performs data restoration; The remote monitoring module is used to display the real-time status and historical data of the drying process. By monitoring the temperature and humidity of the drying process and the quality changes of the pharmaceutical raw materials before and after drying, a comprehensive raw material loss compliance index is obtained and feedback is given. The comprehensive raw material loss compliance index is used to describe the degree of compliance between the actual raw material loss situation of the pharmaceutical raw material remote monitoring mixed drying system and the reference loss situation; The drying evaluation module is used to obtain a comprehensive drying evaluation index based on the comprehensive raw material loss compliance index and the energy consumption of the equipment, conduct a comprehensive evaluation based on the comprehensive drying evaluation index to obtain a comprehensive evaluation result, and visualize it in the form of a chart. The comprehensive drying evaluation index is used to describe the comprehensive drying performance of the remote monitoring mixed drying system for pharmaceutical raw materials, and the comprehensive evaluation result is used to describe the equipment performance of the remote monitoring mixed drying system for pharmaceutical raw materials.

2. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 1, characterized in that: The data monitoring module includes a real-time data acquisition unit and a data processing unit; The real-time data acquisition unit is used to collect real-time data during the drying process of the pharmaceutical raw materials and transmit it to the data processing unit. The real-time data includes temperature, humidity, air flow speed and quality of the pharmaceutical raw materials to be dried; The data processing unit is used to pre-process real-time data to obtain key data and perform storage management, wherein the pre-processing includes data cleaning, data verification and data compression.

3. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 1, characterized in that: The specific process of the pretreatment is as follows: Performing data cleaning on the collected real-time data to obtain first real-time data, wherein the data cleaning includes removing outliers and filling missing values; Performing parity check on the first real-time data to obtain second real-time data; Perform Gzip compression on the second real-time data to obtain key data.

4. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 1, characterized in that: The data transmission module includes a key data encapsulation unit, a key data communication unit and a key data restoration unit; The key data encapsulation unit is used to encapsulate the acquired key data and transmit it to the key data communication unit; The key data communication unit is used to transmit the key data after data encapsulation to the pharmaceutical raw material remote monitoring, mixing and drying supervision platform through optical fiber transmission; The key data restoration unit is used to decompress and restore the received key data after data encapsulation processing, and automatically back up the key data before restoration.

5. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 1, characterized in that: The remote monitoring module includes a data display unit, a monitoring alarm unit and a data storage unit; The data display unit is used to display the key data and historical data restored by the pharmaceutical raw material remote monitoring, mixing and drying supervision platform in real time; The monitoring alarm unit: obtains the comprehensive raw material loss compliance index according to the key data of the data display unit, and determines whether the comprehensive raw material loss compliance index is within a preset threshold range. If it exceeds the preset threshold range, an audible and visual alarm is issued, otherwise the comprehensive raw material loss compliance index is transmitted to the data management library; The data storage unit is used to store and back up key data, historical data and comprehensive raw material loss compliance index.

6. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 1, characterized in that: The specific method for obtaining the comprehensive raw material loss compliance index is as follows: Numbering the pharmaceutical raw materials to be dried according to their types, and obtaining the quality of the pharmaceutical raw materials corresponding to the numbers, wherein the quality of the pharmaceutical raw materials is used to describe the initial quality of the pharmaceutical raw materials; Obtain the mass of the pharmaceutical raw material during the drying process within a preset time interval, and determine whether the obtained mass of the pharmaceutical raw material has at least two consecutive identical values. If so, the mass of the pharmaceutical raw material at this time is recorded as the final mass, otherwise, continue to obtain the mass of the pharmaceutical raw material until the final mass is obtained; Through the changes in the quality of pharmaceutical raw materials, the comprehensive raw material loss compliance index is obtained according to the comprehensive raw material loss reference deviation and preset weights.

7. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 6, characterized in that: The comprehensive raw material loss compliance index is calculated using the following formula: ； In the formula, Indicates that the comprehensive raw material loss meets the index, Indicates the type number of pharmaceutical raw materials. , Indicates the total types of pharmaceutical raw materials, represents the quality of the i-th pharmaceutical raw material, represents the final mass of the i-th pharmaceutical raw material, represents the preset weight of the i-th pharmaceutical raw material, Represents the reference deviation of quality loss of the i-th pharmaceutical raw material.

8. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 1, characterized in that: The specific method for obtaining the comprehensive drying evaluation index is as follows: During the drying process of the pharmaceutical raw materials, the temperature of the pharmaceutical raw materials within a preset time interval is obtained by an infrared thermometer, the average value of the temperature during the drying process of the pharmaceutical raw materials is obtained by statistics, and the corresponding preset threshold value and reference deviation are obtained at the same time; The humidity of the pharmaceutical raw materials during the drying process within a preset time interval is obtained by collecting humidity sensors deployed in the drying system, and the average humidity of the pharmaceutical raw materials during the drying process is obtained by statistics, and the corresponding preset threshold value and reference deviation are obtained at the same time; Obtain the comprehensive raw material loss compliance index of pharmaceutical raw materials, and simultaneously obtain the corresponding preset threshold value and reference deviation; A comprehensive drying evaluation index is obtained by combining the evaluation weights obtained from a preset database, wherein the evaluation weights include temperature weights, humidity weights and comprehensive raw material loss compliance index weights.

9. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 8, characterized in that: The comprehensive drying evaluation index is calculated using the following formula: ； In the formula, Indicates the type number of pharmaceutical raw materials. , represents the total types of pharmaceutical raw materials, R represents the comprehensive drying evaluation index of pharmaceutical raw materials, represents the mean value of the temperature change during the drying process of the i-th pharmaceutical raw material, Indicates the preset threshold value of the temperature during the drying process of pharmaceutical raw materials. Indicates the temperature accuracy reference deviation, represents the mean change of humidity during the drying process of the i-th pharmaceutical raw material, Indicates the preset threshold of humidity during the drying process of pharmaceutical raw materials. Indicates the humidity accuracy reference deviation, Indicates that the comprehensive raw material loss of pharmaceutical raw materials meets the index, It means that the comprehensive raw material loss meets the index accuracy reference deviation, represents the temperature weight, represents the humidity weight, Indicates that the comprehensive raw material loss is in line with the index weight.

10. The remote monitoring, mixing and drying system for pharmaceutical raw materials based on the Internet of Things as claimed in claim 1, characterized in that: The specific process of performing comprehensive evaluation according to the comprehensive drying evaluation index to obtain the comprehensive evaluation result is as follows: Obtaining a comprehensive drying evaluation index, and performing grading according to the comprehensive drying evaluation index to obtain a grading result, wherein the grading result is used to visualize the comprehensive drying evaluation index; A comprehensive drying evaluation comparison chart is drawn according to the grade classification results to obtain a comprehensive evaluation result, and a drying evaluation comparison chart is drawn in combination with the comprehensive raw material loss compliance index and the drying data. The drying data represents key data in the operation process of the remote monitoring mixed drying system for pharmaceutical raw materials.

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