CN110781725B - Laboratory data acquisition and management system - Google Patents
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Abstract
The invention provides a laboratory data acquisition and management system, which comprises: laboratory data acquisition system, laboratory data management system and cloud ware, wherein: the laboratory data acquisition system comprises an identification module, a robot and a robot acquisition module, wherein the identification module identifies laboratory personnel, laboratory instruments or equipment and laboratory materials in a laboratory; the robot acquisition module controls the robot to advance, acquires data of experimenters identified by the identification module in the experimental process or laboratory materials, acquires the acquired data, and uploads the acquired data to the cloud server for storage in real time; the laboratory data management system is used for managing the collected data. According to the laboratory data acquisition and management system, through the application of the robot, a user can operate the robot to obtain the acquired data only through remote control, the acquired data are uploaded to the cloud server to be stored in real time, and different users can simultaneously inquire the same acquired data through the cloud server.
Description
Technical Field
The invention relates to the technical field of laboratory engineering, in particular to a laboratory data acquisition and management system.
Background
In each scientific research field, research and development laboratory is all indispensable, to laboratory data's collection and analysis in the laboratory, is the basis of all scientific research works, also is the cornerstone of science and technology development. In a traditional laboratory, research and development personnel record documents such as texts, tables, figures, equations and the like with a paper pen for subsequent research. Such a conventional recording mode has low efficiency, poor data confidentiality, difficult data search, poor timeliness and difficult long-term data storage and management. With the development of computer technology, most laboratories currently use personal computers to record and store laboratory data, and the data storage and recording mode has the advantages of good data confidentiality, convenient data searching and convenient long-term data storage. However, there are some disadvantages to directly use a computer to enter data, for example, some laboratory data needs to be collected immediately, and there is a certain time difference between the data entry time and the data collection time, which causes a certain error between the entered data and the real data; in addition, scientific researchers use computers to input data, which are generally data in a text format, and some experimental phenomena or experimental processes cannot be recorded and expressed visually in the text format, so that other image recording devices need to be introduced to obtain pictures or video files, and then the pictures or video files are led into a database of the computer by using data lines, and the data acquisition and input processes are very troublesome and have poorer real-time performance; if the laboratory scale is large, the data input by scientific research personnel are more, communication among the scientific research personnel of the same research and development team can generate obstacles, and the scientific research data and progress cannot be communicated in time. In addition, in the scientific research fields of biology, chemical industry, medicine and the like, the purchasing, consumption and inventory of experimental materials also need strict statistics and monitoring, and a general laboratory management system cannot feed back the information to scientific research personnel in time.
Disclosure of Invention
The invention provides a laboratory data acquisition and management system which is used for realizing real-time acquisition and real-time uploading of laboratory data and improving the efficiency of data acquisition.
The invention provides a laboratory data acquisition and management system, comprising: laboratory data acquisition system, laboratory data management system and cloud ware, wherein:
the laboratory data acquisition system comprises an identification module, a robot and a robot acquisition module connected with the identification module and the robot,
the identification module is used for identifying laboratory personnel, laboratory instruments or equipment and laboratory materials in a laboratory;
the robot acquisition module is used for controlling the robot to move, acquiring data of the experimenter identified by the identification module in the experimental process of operating the laboratory instruments or equipment or the data of the laboratory materials, acquiring the acquired data and uploading the acquired data to the cloud server in real time;
the cloud server is used for storing the acquired data acquired by the robot acquisition module;
the laboratory data management system is connected with the cloud server and used for managing the acquired data.
Further, laboratory data acquisition system is still including setting up Arduino development board on the robot is used for realizing right the control of robot.
Further, the identification module comprises a two-dimensional code generation module, and the two-dimensional code generation module comprises: a two-dimensional code generating unit for laboratory personnel, a two-dimensional code generating unit for laboratory instruments or equipment or a two-dimensional code generating unit for laboratory materials, wherein,
the experimenter two-dimensional code generating unit is used for generating a two-dimensional code of the experimenter;
the laboratory instrument or equipment two-dimensional code generating unit is used for generating a two-dimensional code of the laboratory instrument or equipment;
the laboratory material two-dimensional code generating unit is used for generating the two-dimensional code of the laboratory material.
Furthermore, the laboratory data acquisition and management system further comprises a mobile terminal client and a webpage client.
Furthermore, the laboratory data acquisition system also comprises an image shooting module or a text entry module which is positioned on the mobile terminal client,
the image shooting module is used for shooting pictures or videos in the experimental process;
the text entry module is used for entering text data in the experimental process.
Further, the laboratory data collection system further includes a first user login module or a first data query module located on the mobile terminal client, where the first data query module includes: the system comprises a historical data query unit, an alarm record query unit and a log record query unit.
Furthermore, the laboratory data acquisition system further comprises a preprocessing module located on the mobile terminal client, and the preprocessing module is used for preprocessing the acquired data.
Furthermore, the laboratory data management system comprises a second user login module, a data form browsing module, a graph counting module, a data export module, a data printing module and a second data query module which are positioned on the webpage client.
Further, the cloud server includes: a cloud SCADA server, a cloud storage, an MQTT server and a WEB server,
the cloud SCADA server is used for providing user and authority management, equipment authentication, data query, automatic alarm reporting, laboratory management, report statistics, parameter configuration and firmware upgrading services;
the cloud storage is electrically connected with the cloud SCADA server and is used for providing data statistics and storage management services;
the WEB server is connected with the cloud SCADA server and the cloud storage and is used for providing data analysis and query services.
Further, in the process of identifying laboratory personnel, laboratory instruments or equipment and laboratory materials, the identification module needs to perform intelligent image mapping on the image to be identified in order to improve the accuracy rate during identification, wherein the intelligent image mapping performs the following steps;
step A1, carrying out gray processing on an image to be recognized and a standard image in the recognition process, cutting the image to be recognized into N recognition partial images with the same size, and cutting the standard image into M standard partial images with the same size as the recognition partial images;
step A2, acquiring a middle image of the N identification partial images as a mapping calculation image, and respectively calculating the image overlapping degree between the mapping calculation image and the M standard partial images;
where ρ isiCalculating an image overlap between the image and the ith standard partial image for the mapping, p calculating a length of an image pixel for the calculation mapping, Q calculating a width of an image pixel for the calculation mapping, Ima _ Ys,tCalculating the value of pixel points of the s-th row and t-th column of the mapping calculation image, and E Ima _ Y is the mean value of the pixel points of the mapping calculation image,Is the value of the pixel point of the s-th row and t-th column of the ith standard partial image, E Ima _ BiThe average value of pixel points of the ith standard local image is i ═ 1, 2 and 3 … … M;
step A3, mixing rhoiThe standard local image corresponding to the medium maximum value is used as a mapping standard image, the mapping calculation image is rotated by different angles to form different rotation images, the image overlapping degree between the rotation image and the mapping standard image is respectively calculated, and the rotation angle alpha of the rotation image corresponding to the maximum image overlapping degree between the rotation image and the mapping standard image is obtained;
step A4, calculating coordinate displacement;
Sx=Ima_Jx-Ima_Bx
Sy=Ima_Jy-Ima_By
Sxas a displacement of the transverse coordinate, SyAs the amount of vertical coordinate displacement, Ima _ JxCalculating for the mapping the number of lines in the image to be recognized in which the middle point of the image is located, Ima _ JyFor the mapping, the number of columns in which the middle point of the image is located in the image to be recognized, Ima _ B, is calculatedxTo map the number of rows in the standard image where the midpoints of the standard image are located, Ima _ ByMapping the number of columns of the midpoint of the standard image in the standard image;
step A5, carrying out image area intelligent mapping on each pixel point of an image to be identified to obtain a mapping image;
ImaY_xf,h=cosα*Ima_xf+sinα*Ima_yh-Sx
ImaY_yf,h=-sinα*Ima_xf+cosα*Ima_yh-Sy
wherein, Ima _ xfAnd Ima _ yhThe number of rows and columns, ImaY _ x, of pixel points for intelligent mapping in the image to be recognizedf,hAnd ImaY _ yf,hFor a picture to be recognizedIma _ x in the imagefLine Ima _ yhAfter the pixel points of the columns are intelligently mapped, the number of the rows and the number of the columns in the mapped image are obtained;
and A6, identifying the obtained mapping image.
The laboratory data acquisition and management system provided by the embodiment of the invention has the following beneficial effects: through the application of robot, the user only needs the remote control can operate the robot and obtain the data collection to upload the cloud server storage in real time, the user can manage the data collection through laboratory data management system, therefore the managers in laboratory need not use the manpower to go to data collection, can in time discover the unusual data that the manpower is difficult to discover, improve data collection's efficiency, different user's accessible cloud server simultaneously inquires same data collection moreover.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of a laboratory data collection and management system according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the present invention further provides a laboratory data acquisition and management system, as shown in fig. 1, including: laboratory data acquisition system 101, laboratory data management system 103 and cloud server 102, wherein:
the laboratory data collecting system 101 comprises an identification module 1011, a robot 1012 and a robot collecting module 1013 connected with the robot 1012 and the identification module 1011,
the identification module 1011 is used for identifying laboratory personnel, laboratory instruments or equipment and laboratory materials;
the robot collection module 1013 is configured to control the robot 1012 to travel, collect data of the laboratory material or data of the laboratory material during an experiment process in which the laboratory instruments or devices are operated by the laboratory personnel identified by the identification module 1011, obtain collected data, and upload the collected data to the cloud server 102 in real time;
the cloud server 102 is configured to store the acquired data acquired by the robot acquisition module;
the laboratory data management system 103 is connected to the cloud server 102, and is configured to manage the collected data.
The working principle of the technical scheme is as follows: the identification module 1011 identifies laboratory personnel, laboratory instruments or equipment and laboratory materials; the robot acquisition module 1013 controls the robot 1012 to move forward, acquires data of laboratory materials or data of laboratory instruments or equipment in an experimental process of operating the laboratory equipment by the experimenter identified by the identification module 1011, obtains the acquired data, and uploads the acquired data to the cloud server 102 in real time; the cloud server 102 stores the acquired data; the laboratory data management system 103 manages the collected data.
The collected data in the experimental process comprise picture data, video data and text data. The laboratory materials comprise experimental medicines, reagents, experimental equipment and the like.
The beneficial effects of the above technical scheme are: through the application of robot, the user only needs the remote control can operate the robot and obtain the data collection to upload the cloud server storage in real time, the user can manage the data collection through laboratory data management system, therefore the managers in laboratory need not use the manpower to go to data collection, can in time discover the unusual data that the manpower is difficult to discover, improve data collection's efficiency, different user's accessible cloud server simultaneously inquires same data collection moreover.
In one embodiment, the laboratory data collection system 101 further comprises an Arduino development board disposed on the robot 1012 for implementing control of the robot 1012.
The working principle of the technical scheme is as follows: arduino development board includes relevant subassemblies such as direct current motor group, battery case, voltage detection module, GPS module, camera module, network communication module to realize the normal operating of robot. The Arduino development board controls the motors and cameras carried on the robot 1012, and controls the robot 101 to move, take pictures and take pictures in the laboratory.
The program on the Arduino development board can be divided into three main program parts: structure, values (constants and variables), and functions.
In the structure of a program on an Arduino development board, two parts, a Setup () function and a Loop () function, are mainly included. The Arduino development board calls the Setup () function each time a program starts. In the Setup () function, operations such as variable initialization, board pin initialization, and enabling a library are performed. This function will only run once each time the Arduino development board is powered up or reset. After the Setup () function for initializing various settings and initial values is called, the Loop () function is responsible for actively controlling the Arduino development board, allowing the program to continuously compute, modify, or respond to requests in a Loop.
The beneficial effects of the above technical scheme are: through Arduino development board, can realize the control to the robot.
In one embodiment, the laboratory data collection system 101 further comprises a communication module disposed on the robot 1012 for enabling a connection between the robot 1012 and the robot collection module 1013.
The working principle of the technical scheme is as follows: the communication module, model 1012ESP8266, plays the role of a network channel connecting the Arduino development board with the robot acquisition module 1013. 1012ESP8266 can work in three different modes, which are AP mode, station mode and hybrid mode, and the switching and setting of the different modes can be controlled by the common AT command.
The beneficial effects of the above technical scheme are: through the communication module, the robot can be connected with the robot acquisition module.
In one embodiment, the laboratory data collection and management system further includes sensors disposed on the robots 1012 to detect the environment of the laboratory.
The working principle of the technical scheme is as follows: the sensor includes temperature sensor, humidity transducer, optical sensor etc, temperature sensor is used for detecting the temperature, humidity transducer is used for detecting humidity, optical sensor is used for detecting the light.
The beneficial effects of the above technical scheme are: the environment of the laboratory can be detected by means of sensors arranged on the robot.
In one embodiment, the identification module 1011 includes a two-dimensional code generation module, which includes: a two-dimensional code generating unit for laboratory personnel, a two-dimensional code generating unit for laboratory instruments or equipment or a two-dimensional code generating unit for laboratory materials, wherein,
the experimenter two-dimensional code generating unit is used for generating a two-dimensional code of the experimenter;
the laboratory instrument or equipment two-dimensional code generating unit is used for generating a two-dimensional code of the laboratory instrument or equipment;
the laboratory material two-dimensional code generating unit is used for generating the two-dimensional code of the laboratory material.
The working principle of the technical scheme is as follows: the laboratory instrument or equipment two-dimensional code generating unit generates a unique two-dimensional code for each laboratory instrument or equipment; the laboratory material two-dimensional code generating unit generates a unique two-dimensional code for each laboratory material. Through two-dimensional code generation module, can establish the one-to-one relation with laboratory staff, laboratory instrument or equipment and laboratory material and two-dimensional code, through scanning the two-dimensional code, can confirm rapidly that the data collection corresponds to which laboratory staff has carried out the experiment to which laboratory instrument or equipment or the data collection corresponds to which laboratory material
The beneficial effects of the above technical scheme are: through the two-dimensional code generation module, the source of the acquired data can be quickly determined.
In one embodiment, the laboratory data collection and management system further comprises a mobile terminal client and a web page client.
The working principle of the technical scheme is as follows: the mobile terminal is a client on the mobile terminal, namely a mobile phone terminal, and the main user of the mobile terminal is a common user; the webpage client is a client on the PC side, and the main user of the webpage client is an administrator.
For an ordinary user, the user population is an experimenter who operates the robot in a laboratory to collect data, and the operation is mainly to operate the robot and inquire information such as historical records.
For the administrator, the user group is the manager for overall management of the laboratory, the main operation is to inquire and modify the robot and the historical records, and the laboratory materials are purchased in time according to the consumption and inventory data information corresponding to the laboratory materials.
The beneficial effects of the above technical scheme are: an ordinary user can operate and control the robot and inquire the history records through a mobile terminal client, and an administrator can inquire and modify the robot and the history records through a webpage client.
In one embodiment, the laboratory data acquisition system further comprises an image shooting module or a text entry module positioned on the mobile terminal client,
the image shooting module is used for shooting pictures or videos in the experimental process;
the text entry module is used for entering text data in the experimental process.
The working principle of the technical scheme is as follows: the laboratory data formats include text format, picture format, video format, and the like. The image shooting device is a camera installed on a special intelligent terminal, a smart phone, a palm computer or a tablet personal computer, and the text input device is a user input device of the special intelligent terminal, the smart phone, the palm computer or the tablet personal computer, such as a touch screen. The special intelligent terminal is a mobile terminal special for laboratory data acquisition.
The beneficial effects of the above technical scheme are: the laboratory data acquisition can be realized by means of the image shooting module and the text entry module.
In one embodiment, the laboratory data collection system further includes a first user login module or a first data query module located on the mobile terminal client, and the first data query module includes: the system comprises a historical data query unit, an alarm record query unit and a log record query unit.
The working principle of the technical scheme is as follows: the first user login module is mainly used for common users, namely experimenters.
The historical data query unit can query all data and provide corresponding suggestions; the alarm record inquiry unit can inquire all alarm points accessed to laboratory equipment or instruments, and can automatically send alarm information to a WeChat account bound by a user name in real time or send a short message prompt to a user so that the user can take measures in time; the log record query unit can query the system log query and the intelligent acquisition log.
The first data query unit queries by accessing data in the cloud server, so that the data can be conveniently stored and called. The input of the historical data query unit is a request for obtaining a historical record, the output of the historical data query unit is a historical record list, and when no historical record exists, a blank list is displayed.
The beneficial effects of the above technical scheme are: the first user login module and the first data query module can enable a common user to realize login and data query functions.
In one embodiment, the laboratory data collection system further includes a preprocessing module located on the mobile terminal client for preprocessing the collected data.
The working principle of the technical scheme is as follows: the preprocessing can include removing invalid and repeated data, so that storage space of the cloud server can be saved after the data is uploaded to the cloud server.
The beneficial effects of the above technical scheme are: the storage space of the cloud server is saved.
In one embodiment, the laboratory data management system comprises a second user login module, a data form browsing module, a graph statistics module, a data export module, a data printing module and a second data query module which are located on the webpage client.
The working principle of the technical scheme is as follows: the second user login module mainly aims at a user which is an administrator, namely a laboratory manager; the data form browsing module is used for displaying the collected data to a user in a form of a form; the graph counting module displays a counting result to a user in a visual graph form such as a pie chart, a bar chart or a bubble chart; the data export module is used for exporting data, so that a user can conveniently carry out further analysis and processing; the data printing module is used for printing the collected data; the second data query module can enable the user to input query conditions to query all the collected data.
The beneficial effects of the above technical scheme are: the user can browse, inquire and further process the collected data.
In one embodiment, the cloud server includes: a cloud SCADA server, a cloud storage, an MQTT server and a WEB server,
the cloud SCADA server is used for providing user and authority management, equipment authentication, data query, automatic alarm reporting, laboratory management, report statistics, parameter configuration and firmware upgrading services;
the cloud storage is electrically connected with the cloud SCADA server and is used for providing data statistics and storage management services;
the WEB server is connected with the cloud SCADA server and the cloud storage and is used for providing data analysis and query services.
The working principle of the technical scheme is as follows: the cloud storage adopts a MYSQL database and is used for real-time data acquisition, real-time data processing, data storage, real-time data display and historical data query to form a real-time database and a historical database; MYSQL has the advantages of small volume, high speed, low total cost of ownership and the like.
The MYSQL database comprises a user database, a robot database, an experimenter database, an experimental instrument and equipment database, a laboratory material database and a historical record database. Specifically, the user database includes a user ID, a password, a last name, a first name, and the like; the robot database comprises a robot ID, a robot state and the like; the laboratory material database comprises a laboratory ID, a material name, material consumption, material inventory and the like; the history database includes record IDs, pictures, time, and the like.
In a mobile terminal client, a common user can control a robot trolley and browse related records on a mobile phone with an Android system by operating client software of a laboratory data acquisition system. In the webpage client, a user can manage information such as laboratory personnel, laboratory instruments and equipment, robots, historical records and the like through a laboratory data management system.
The beneficial effects of the above technical scheme are: the real-time performance can be improved, the functions of remote data acquisition, wireless transmission, data cloud storage, site management, remote terminal monitoring and the like can be realized, and a user can conveniently browse information such as historical records and the like through the database.
In one embodiment, the robot includes a crawler for performing laboratory inspections and collecting laboratory data
The working principle of the technical scheme is as follows: the crawler can be used for inspection on the ground, and is suitable for laboratories with flat ground.
The beneficial effects of the above technical scheme are: by means of the crawler trolley, the crop inspection can be achieved.
In one embodiment, the laboratory data management system comprises: a data modification module or a management module.
The working principle of the technical scheme is as follows: the data modification module is used for modifying laboratory equipment parameters and laboratory data; the management module is used for managing laboratory items, laboratory equipment and instruments, sensors, collected data, alarm data points, report statistics and configuration parameters, for example, the laboratory items can be added or deleted, the laboratory names can be added or deleted for the management of the laboratory equipment and instruments, names, titles, background pictures, station IDs, adding robots and the like are set for each laboratory, the laboratory equipment can be added or deleted, names, addresses, collection frequencies, communication modes, data sensors and the like are set for each equipment; managing sensors, adding or deleting sensors, and setting names, addresses, data points, communication protocols and the like; managing collected data, adding and deleting collection, setting data point names, types, units, transformation ratios, logic operation modes, starting alarm or not and the like; managing alarm data points, and setting alarm type, alarm value (range of AI point selection value, DI point selection close, close or shift), alarm description, alarm grade, etc.; the management report statistics can be used for carrying out chart statistics on the collected data of each laboratory.
The beneficial effects of the above technical scheme are: the user can manage and monitor the laboratory.
In one embodiment, in the process of identifying laboratory personnel, laboratory instruments or equipment and laboratory materials, the identification module needs to perform intelligent image mapping on the image to be identified in order to improve the accuracy rate during identification, wherein the intelligent image mapping performs the following steps;
step A1, carrying out gray processing on an image to be recognized and a standard image in the recognition process, cutting the image to be recognized into N recognition partial images with the same size, and cutting the standard image into M standard partial images with the same size as the recognition partial images;
wherein, the image to be recognized is cut into N recognized partial images with equal size, which are just cut when the image can be just cut, e.g. an image of 100 x 60 pixels, of the original image, now cut into partial images of 10 x 6 pixels, then 100 pixels corresponding to the length of the original image are cut into 10 pixels and 10 pixels, 60 pixels corresponding to the width of the original image are cut into 10 pixels and 6 pixels, then 100 pixels of 10 x 6 can be formed, if the original image cannot be cut right, e.g. the original image is an image of 100 x 58 pixels, now cut into partial images of 10 x 6 pixels, then 100 pixels corresponding to the length of the original image are cut into 10 pixels and 10 pixels, and the width is only cut into 9 pixels and 4 pixels after 6 pixels, the wide 1 st to 54 th pixels are cut into 9 6 th pixels and 53 th to 58 th 6 th pixels, finally forming 100 pixels of 10 x 6.
The standard image is an image of a laboratory worker, a laboratory instrument or equipment stored in a management system database in the identification process, for example, an image of a laboratory worker pre-stored in the management system database when the laboratory worker is to be identified.
Step A2, acquiring a middle image of the N identification partial images as a mapping calculation image, and respectively calculating the image overlapping degree between the mapping calculation image and the M standard partial images;
where ρ isiCalculating an image overlap between the image and the ith standard partial image for the mapping, p calculating a length of an image pixel for the calculation mapping, Q calculating a width of an image pixel for the calculation mapping, Ima _ Ys,tTo calculate the values of the pixels in the s-th row and t-th column of the mapping calculation image, E Ima _ Y is the mean value of the pixels of the mapping calculation image,is the value of the pixel point of the s-th row and t-th column of the ith standard partial image, E Ima _ BiThe average value of pixel points of the ith standard local image is i ═ 1, 2 and 3 … … M;
the right middle image of the N identification local images is the identification local image of the I/N/2I, and the I/N/2 is integer to N/2.
Step A3, mixing rhoiThe standard local image corresponding to the medium maximum value is used as a mapping standard image, the mapping calculation image is rotated by different angles to form different rotation images, the image overlapping degree between the rotation image and the mapping standard image is respectively calculated, and the rotation angle alpha of the rotation image corresponding to the maximum image overlapping degree between the rotation image and the mapping standard image is obtained;
when the mapping calculation image is rotated by different angles and then the image overlapping degree between the mapping calculation image and the mapping standard image is calculated, in the process of rotating the mapping calculation image, the central point of the image is rotated, and after the rotation, only the pixel points which are still in the region after the rotation are reserved, the original image shown as the following is a pixel image of 3 x 5, and after the rotation of 90 degrees through the central point 2, a rotation image of 5 x 3 can be formed, in the rotation image of 5 x 3, only the image of 3 x 3 which takes 2 as the central point is in the region of the original image, the image after the rotation is an image of 3 x 3, and the mapping standard image also takes the image of 3 x 3 pixels around the center:
step A4, calculating coordinate displacement;
Sx=Ima_Jx-Ima_Bx
Sy=Ima_Jy-Ima_By
Sxas a displacement of the transverse coordinate, SyAs the amount of vertical coordinate displacement, Ima _ JxCalculating for the mapping the number of lines in the image to be recognized in which the middle point of the image is located, Ima _ JyFor a mapping meterCalculating the number of columns in which the middle point of the image is positioned in the image to be recognized, Ima _ BxTo map the number of rows in the standard image where the midpoints of the standard image are located, Ima _ ByMapping the number of columns of the midpoint of the standard image in the standard image;
step A5, carrying out image area intelligent mapping on each pixel point of an image to be identified to obtain a mapping image;
ImaY_xf,h=cosα*Ima_xf+sinα*Ima_yh-Sx
ImaY_yf,h=-sinα*Ima_xf+cosα*Ima_yh-Sy
wherein, Ima _ xfAnd Ima _ yhThe number of rows and columns, ImaY _ x, of pixel points for intelligent mapping in the image to be recognizedf,hAnd ImaY _ yf,hIs the Ima _ x in the image to be recognizedfLine Ima _ yhAfter the pixel points of the columns are intelligently mapped, the number of the rows and the number of the columns in the mapped image are obtained;
for example, the pixel point of the 3 rd row and 5 th column of the original image to be recognized is 7, i.e., Ima _ xfIs 3, Ima _ yh5, after the intelligent mapping, the image is mapped to the 9 th row and 12 th column of the mapping image, and ImaY _ xf,hIs 9, ImaY _ yf,hAnd 12, i.e. the pixel value of the 9 th row and 12 th column of the mapped image is 7.
And A6, identifying the obtained mapping image.
The beneficial effects of the above technical scheme are:
in the process of identifying laboratory personnel, laboratory instruments or equipment and laboratory materials, identification errors may occur in the captured images during identification due to different weather, image capturing angle, capturing time illumination intensity, focal length and the like during identification, or in order to improve the identification rate, the captured images need to be subjected to image scaling identification, namely, the pixels of each specification are identified once, so that the identification calculation amount is huge, and by using the technology, only through simple region blocking, calculating the overlapping degree of the blocked areas to obtain the corresponding coordinate displacement and the corresponding rotation angle, then mapping the image to be identified by using the obtained displacement and rotation angle to obtain a corresponding mapping image, and then the mapping image is identified, so that the identification rate can be greatly improved, and only a small amount of calculation is needed.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such 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 such modifications and variations.
Claims (9)
1. A laboratory data collection and management system, comprising: laboratory data acquisition system, laboratory data management system and cloud ware, wherein:
the laboratory data acquisition system comprises an identification module, a robot and a robot acquisition module connected with the identification module and the robot,
the identification module is used for identifying laboratory personnel, laboratory instruments or equipment and laboratory materials in a laboratory;
the robot acquisition module is used for controlling the robot to move, acquiring data of the experimenter identified by the identification module in the experimental process of operating the laboratory instruments or equipment or the data of the laboratory materials, acquiring the acquired data and uploading the acquired data to the cloud server in real time;
the cloud server is used for storing the acquired data acquired by the robot acquisition module;
the laboratory data management system is connected with the cloud server and used for managing the acquired data;
in the process of identifying laboratory personnel, laboratory instruments or equipment and laboratory materials, the identification module needs to perform intelligent image mapping on an image to be identified in order to improve the accuracy rate in identification, wherein the intelligent image mapping performs the following steps;
step A1, carrying out gray processing on an image to be recognized and a standard image in the recognition process, cutting the image to be recognized into N recognition partial images with the same size, and cutting the standard image into M standard partial images with the same size as the recognition partial images;
step A2, acquiring a middle image of the N identification partial images as a mapping calculation image, and respectively calculating the image overlapping degree between the mapping calculation image and the M standard partial images;
where ρ isiCalculating an image overlap between the image and the ith standard partial image for the mapping, p calculating a length of an image pixel for the calculation mapping, Q calculating a width of an image pixel for the calculation mapping, Ima _ Ys,tTo calculate the values of the pixels in row s and column t of the mapping calculation image, E (Ima _ Y) is the mean of the pixels of the mapping calculation image,is the value of the pixel point in the s-th row and t-th column of the ith standard partial image, E (Ima _ B)i) The average value of pixel points of the ith standard local image is i ═ 1, 2 and 3 … … M;
step A3, mixing rhoiThe standard local image corresponding to the medium maximum value is used as a mapping standard image, the mapping calculation image is rotated by different angles to form different rotation images, the image overlapping degree between the rotation image and the mapping standard image is respectively calculated, and the rotation angle alpha of the rotation image corresponding to the maximum image overlapping degree between the rotation image and the mapping standard image is obtained;
step A4, calculating coordinate displacement;
Sx=Ima_Jx-Ima_Bx
Sy=Ima_Jy-Ima_By
Sxas a displacement of the transverse coordinate, SyAs the amount of vertical coordinate displacement, Ima _ JxCalculating for the mapping the number of lines in the image to be recognized in which the middle point of the image is located, Ima _ JyFor the mapping, the number of columns in which the middle point of the image is located in the image to be recognized, Ima _ B, is calculatedxTo map the number of rows in the standard image where the midpoints of the standard image are located, Ima _ ByMapping the number of columns of the midpoint of the standard image in the standard image;
step A5, carrying out image area intelligent mapping on each pixel point of an image to be identified to obtain a mapping image;
ImaY_xf,h=cosα*Ima_xf+sinα*Ima_yh-Sx
ImaY_yf,h=-sinα*Ima_xf+cosα*Ima_yh-Sy
wherein, Ima _ xfAnd Ima _ yhThe number of rows and columns, ImaY _ x, of pixel points for intelligent mapping in the image to be recognizedf,hAnd ImaY _ yf,hIs the Ima _ x in the image to be recognizedfLine Ima _ yhAfter the pixel points of the columns are intelligently mapped, the number of the rows and the number of the columns in the mapped image are obtained;
and A6, identifying the obtained mapping image.
2. The laboratory data collection and management system according to claim 1, wherein said laboratory data collection system further comprises an Arduino development board disposed on said robot for enabling control of said robot.
3. The laboratory data collection and management system of claim 1, wherein said identification module comprises a two-dimensional code generation module, said two-dimensional code generation module comprising: a two-dimensional code generating unit for laboratory personnel, a two-dimensional code generating unit for laboratory instruments or equipment or a two-dimensional code generating unit for laboratory materials, wherein,
the experimenter two-dimensional code generating unit is used for generating a two-dimensional code of the experimenter;
the laboratory instrument or equipment two-dimensional code generating unit is used for generating a two-dimensional code of the laboratory instrument or equipment;
the laboratory material two-dimensional code generating unit is used for generating the two-dimensional code of the laboratory material.
4. The laboratory data collection and management system of claim 1, further comprising a mobile terminal client and a web page client.
5. The laboratory data collection and management system of claim 4, wherein said laboratory data collection system further comprises an image capture module or a text entry module located on said mobile terminal client,
the image shooting module is used for shooting pictures or videos in the experimental process;
the text entry module is used for entering text data in the experimental process.
6. The laboratory data collection and management system according to claim 4, wherein said laboratory data collection system further comprises a first user login module or a first data query module located on said mobile terminal client, said first data query module comprising: the system comprises a historical data query unit, an alarm record query unit and a log record query unit.
7. The laboratory data collection and management system of claim 4, wherein said laboratory data collection system further comprises a preprocessing module located on said mobile terminal client for preprocessing said collected data.
8. The laboratory data collection and management system according to claim 4, wherein said laboratory data management system comprises a second user login module, a data form browsing module, a graph statistics module, a data export module, a data printing module, and a second data query module located on said web client.
9. The laboratory data collection and management system of claim 1, wherein said cloud server comprises: a cloud SCADA server, a cloud storage, an MQTT server and a WEB server,
the cloud SCADA server is used for providing user and authority management, equipment authentication, data query, automatic alarm reporting, laboratory management, report statistics, parameter configuration and firmware upgrading services;
the cloud storage is electrically connected with the cloud SCADA server and is used for providing data statistics and storage management services;
the WEB server is connected with the cloud SCADA server and the cloud storage and is used for providing data analysis and query services.
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