CN112465360A - New energy material and secondary battery in-situ characterization big data platform - Google Patents

New energy material and secondary battery in-situ characterization big data platform Download PDF

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Publication number
CN112465360A
CN112465360A CN202011383504.8A CN202011383504A CN112465360A CN 112465360 A CN112465360 A CN 112465360A CN 202011383504 A CN202011383504 A CN 202011383504A CN 112465360 A CN112465360 A CN 112465360A
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module
monitoring
data platform
personnel
big data
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陈人杰
罗锐
连童
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Advanced Technology Research Institute of Beijing Institute of Technology
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Advanced Technology Research Institute of Beijing Institute of Technology
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Abstract

The invention discloses a new energy material and secondary battery in-situ characterization big data platform, which comprises an account login module, a data acquisition module and a data storage module, wherein the account login module is used for managing the use permission of equipment through account login and collecting personnel information in time; the project progress monitoring module is used for monitoring the progress of a plurality of experimental projects; the device monitoring module is used for monitoring the use conditions of a plurality of experimental devices; the personnel monitoring module is used for monitoring the on-duty state of personnel; the experimental result uploading module is used for uploading the experimental result; the visual display module is used for searching and inquiring data in the big data platform and selectively displaying the required data; the monitoring and early warning module is used for automatically controlling in time under emergency; and the Internet of things module is used for installing a networking control module on related equipment, developing mobile phone apps and realizing remote management.

Description

New energy material and secondary battery in-situ characterization big data platform
Technical Field
The invention relates to the technical field of new energy, in particular to a new energy material and a secondary battery in-situ characterization big data platform.
Background
The new energy is an important field of the world scientific and technological revolution and the development of the industry in China, and as the most important product in the new energy industry, the development of the secondary battery represents the scientific and technological level and the productivity level of the new energy material industry. The advanced testing and characterization technology can be used for analyzing various performances of the new energy material and the secondary battery, and has very important functions in the aspects of preparation and performance analysis of the new energy material, battery performance research, mechanism analysis and the like.
At present, a big data platform aiming at secondary battery representation is not available, the use permission of experimental equipment cannot be intelligently controlled, a plurality of experimental projects and a plurality of experimental equipment cannot be monitored simultaneously, and early warning and timely processing on experimental states and dangers cannot be remotely carried out.
Along with the generation and accumulation of experimental data in the test characterization process, in order to improve the data processing efficiency and facilitate the intelligent management of a laboratory, a new energy material and a secondary battery in-situ characterization big data platform are necessary to be constructed. At present, hardware equipment is considered in a large data platform, few descriptions are provided in the aspects of function implementation and intelligent management, and the invention is focused on relevant software and comprehensive functions of the large data platform, including data acquisition and analysis, visual display, real-time monitoring, timely early warning, progress tracking and the like.
Based on the technical scheme, the invention designs a new energy material and a secondary battery in-situ characterization big data platform to solve the problems.
Disclosure of Invention
The invention aims to provide a new energy material and secondary battery in-situ characterization big data platform, which is used for carrying out authority management on experimental equipment through account login and timely acquiring personnel information based on a big data platform technology, and monitoring the progress of a plurality of experimental projects and the using state of the equipment in real time. And timely early warning and emergency treatment are carried out on possible dangers in the experimental process.
In order to achieve the purpose, the invention provides the following technical scheme: a new energy material and a secondary battery in-situ characterization big data platform comprises
The account login module is used for managing the equipment use authority through account login and acquiring personnel information in time;
the project progress monitoring module is used for monitoring the progress of a plurality of experimental projects;
the device monitoring module is used for monitoring the use conditions of a plurality of experimental devices;
the personnel monitoring module is used for monitoring the on-duty state of personnel;
the experimental result uploading module is used for uploading the experimental result;
the visual display module is used for searching and inquiring data in the big data platform and selectively displaying the required data;
the monitoring and early warning module is used for analyzing the standby time, automatically early warning the non-occurrence accidents and giving an auxiliary decision, and can also automatically control in time in an emergency;
and the Internet of things module is used for installing a networking control module on related equipment, developing mobile phone app, monitoring the progress of an experimental project, the service condition of the equipment, the on-duty state of personnel, monitoring safety and early warning functions on a mobile phone end and a data platform, and realizing remote management.
Preferably, in the account login module, each device is provided with a special computer, operation and analysis need to be performed on the computer when the device is used, account login needs to be performed on the computer before a user uses the device, the user logs in the device, namely, the user uses the device, and related software needs to be installed on the special computer to automatically feed back user basic information and the device use state to the big data platform.
Preferably, in the project progress monitoring module, the project is used as a main line, each project name, a specific operator and daily completion progress information are timely input into the data platform, the purpose of monitoring a plurality of experimental projects simultaneously is achieved, and an intuitive information interface is provided for a manager.
Preferably, the device monitoring module is used for inputting the names, specifications and basic information of the applications of all experimental devices in advance, and the big data platform is used for timely mastering information such as the on-off state of the devices, the working time, operators and the experimental names through software designed in the account login module and displaying the information in real time.
Preferably, in the personnel monitoring module, the on-duty state of the personnel is identified by installing a personnel passing permission device at the door opening of the laboratory; the operation state of the personnel is identified through the account login mode in the account login module, and the number of the personnel in the laboratory and the use condition of the equipment of the personnel are mastered in time.
Preferably, in the experimental result uploading module, relevant software is installed in a computer corresponding to each device, and the generated original experimental data and the processed data are automatically uploaded to a data platform for storage and display.
Preferably, in the visual display module, the data required for display comprises the progress of the experimental project, the service condition of equipment, the on-duty state of personnel and the experimental result, and is displayed in a chart, computer vision and user interface mode.
Preferably, the monitoring and early warning module monitors the temperature, the power utilization condition, the standby time and the electromagnetic radiation data of key areas and equipment in a laboratory, uploads a monitoring result in real time, and immediately alarms when the monitoring result exceeds a safety value so that experimenters can timely respond, wherein the monitoring and early warning module adopts various early warning modes of a mobile phone, a voice alarm and a large monitoring screen.
Compared with the prior art, the invention has the beneficial effects that: the invention can intelligently control the use permission of the experimental equipment, simultaneously monitor a plurality of experiments and a plurality of experimental equipment, remotely early warn and process the experiment danger, and realize linkage control of the mobile phone app and the data platform.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of the structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The data platform series software comprises a big data platform operating system, and computer login personnel information acquisition software, experimental data automatic uploading software and related mobile phone apps which are used together with the big data platform operating system, and aims to protect a big data platform management operation mode and comprehensive functions.
The invention provides a specific technical scheme that: a new energy material and a secondary battery in-situ characterization big data platform comprises
The account login module is used for managing the equipment use authority through account login and acquiring personnel information in time; each device is provided with a special computer, operation and analysis are needed to be carried out on the computer when the device is used, a user needs to log in an account on the computer before using the device, and the user logs in the device to use the device on behalf of the user. And related software is required to be installed in a special computer, and basic information of a user and the use state of equipment are automatically fed back to the big data platform.
The project progress monitoring module is used for monitoring the progress of a plurality of experimental projects; the method takes the project as a main line, and timely inputs information such as each project name, specific operators, daily completion progress and the like into the data platform, so that the purpose of simultaneously monitoring a plurality of experimental projects is achieved, and an intuitive information interface is provided for a manager.
The device monitoring module is used for monitoring the use conditions of a plurality of experimental devices; basic information such as names, specifications, purposes and the like of all experimental equipment is input in advance, and information such as the on-off state of the equipment, the working time, operators, the experimental names and the like is mastered in time by the data platform through software designed in the account login module and is displayed in real time.
The personnel monitoring module is used for monitoring the on-duty state of personnel; the on-duty state of a person is identified by installing a person passing permission device at the door opening of the laboratory; and identifying the operation state of the operator by an account login mode in the account login module. The number of people in the laboratory and the use condition of the equipment by the personnel are grasped in time.
The experimental result uploading module is used for uploading the experimental result; and installing related software in a computer corresponding to each device, and automatically uploading the generated original experimental data and the processed data to a data platform for storage and display.
The visual display module is used for searching and inquiring data in the big data platform and selectively displaying the required data; and searching and querying the data in the big data platform, and selectively displaying the required data. And if the data required by the display comprises the progress of the experimental project, the service condition of equipment, the on-duty state of personnel and the experimental result, displaying in the modes of charts, computer vision, user interfaces and the like.
The monitoring and early warning module has a comprehensive monitoring range, can analyze the standby time, automatically early warn the non-occurrence accidents and give auxiliary decisions, and can also automatically control in time under emergency conditions and stop the harm to personnel in time so as to ensure the personal safety. And various early warning modes such as a mobile phone, a voice alarm, a large monitoring screen and the like are adopted to assist an administrator to quickly respond.
Monitoring the temperature, the power consumption condition, the standby time, the electromagnetic radiation and other data of key areas and equipment in a laboratory, uploading monitoring results in real time, and immediately alarming when the monitoring results exceed a safety value so that experimenters can timely respond.
The Internet of things module is used for realizing the Internet of things function of the equipment, installing the networking control module on the related equipment, developing the mobile phone app, simultaneously realizing the functions of monitoring the progress of an experimental project, the use condition of the equipment, the on-duty state of personnel, safety monitoring, early warning and the like on the mobile phone end and the data platform, and realizing remote management.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (8)

1. A new energy material and secondary battery in-situ characterization big data platform is characterized in that: the big data platform comprises
The account login module is used for managing the equipment use authority through account login and acquiring personnel information in time;
the project progress monitoring module is used for monitoring the progress of a plurality of experimental projects;
the device monitoring module is used for monitoring the use conditions of a plurality of experimental devices;
the personnel monitoring module is used for monitoring the on-duty state of personnel;
the experimental result uploading module is used for uploading the experimental result;
the visual display module is used for searching and inquiring data in the big data platform and selectively displaying the required data;
the monitoring and early warning module is used for analyzing the standby time, automatically early warning the non-occurrence accidents and giving an auxiliary decision, and can also automatically control in time in an emergency;
and the Internet of things module is used for installing a networking control module on related equipment, developing mobile phone app, monitoring the progress of an experimental project, the service condition of the equipment, the on-duty state of personnel, monitoring safety and early warning functions on a mobile phone end and a data platform, and realizing remote management.
2. The new energy material and secondary battery in-situ characterization big data platform according to claim 1, wherein: in the account login module, each device is provided with a special computer, operation and analysis need to be carried out on the computer when the device is used, a user needs to log in an account on the computer before using the device, the user logs in the device and uses the device, relevant software needs to be installed on the special computer, and basic information of the user and the use state of the device are automatically fed back to the big data platform.
3. The new energy material and secondary battery in-situ characterization big data platform according to claim 1, wherein: in the project progress monitoring module, a project is used as a main line, each project name, a specific operator and daily completion progress information are timely input into a data platform, the purpose of simultaneously monitoring a plurality of experimental projects is achieved, and a visual information interface is provided for a manager.
4. The new energy material and secondary battery in-situ characterization big data platform according to claim 1, wherein: in the equipment monitoring module, the names, specifications and basic information of the application of all experimental equipment are input in advance, and the big data platform timely grasps information such as the on-off state of the equipment, the working time, operators and the names of the experiments through software designed in the account login module and displays the information in real time.
5. The new energy material and secondary battery in-situ characterization big data platform according to claim 1, wherein: in the personnel monitoring module, a personnel passing permission device is installed at a door opening of a laboratory, so that the on-duty state of personnel is identified; the operation state of the personnel is identified through the account login mode in the account login module, and the number of the personnel in the laboratory and the use condition of the equipment of the personnel are mastered in time.
6. The new energy material and secondary battery in-situ characterization big data platform according to claim 1, wherein: and in the experimental result uploading module, relevant software is installed in a computer corresponding to each device, and the generated original experimental data and the processed data are automatically uploaded to a data platform for storage and display.
7. The new energy material and secondary battery in-situ characterization big data platform according to claim 1, wherein: in the visual display module, the data required for display comprises the progress of an experimental project, the service condition of equipment, the on-duty state of personnel and the display of an experimental result in a chart, computer vision and user interface mode.
8. The new energy material and secondary battery in-situ characterization big data platform according to claim 1, wherein: the monitoring and early warning module monitors the temperature, the power consumption condition, the standby time and the electromagnetic radiation data of key areas and equipment in a laboratory, uploads a monitoring result in real time, and immediately alarms when the monitoring result exceeds a safety value so that experimenters can timely make a response, wherein the monitoring and early warning module adopts a plurality of early warning modes of a mobile phone, a voice alarm and a large monitoring screen.
CN202011383504.8A 2020-12-01 2020-12-01 New energy material and secondary battery in-situ characterization big data platform Pending CN112465360A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113568351A (en) * 2021-07-29 2021-10-29 石家庄通合电子科技股份有限公司 Real-time monitoring system of environmental test equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105789716A (en) * 2016-03-03 2016-07-20 北京交通大学 Generalized battery management system
CN105975727A (en) * 2016-05-30 2016-09-28 成都云材智慧数据科技有限公司 Material-data processing method, material-data generating method, material-data application method and terminal and material-data cloud processing platform
CN207037042U (en) * 2017-07-19 2018-02-23 山西爱恩科技有限公司 UPS battery operating condition monitoring systems
CN111429579A (en) * 2020-04-13 2020-07-17 北京中岩大地科技股份有限公司 Three-dimensional visual automatic monitoring system platform with BIM technology as carrier
CN111967890A (en) * 2020-09-21 2020-11-20 姚耀春 Lithium ion battery full-life cycle monitoring traceability system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105789716A (en) * 2016-03-03 2016-07-20 北京交通大学 Generalized battery management system
CN105975727A (en) * 2016-05-30 2016-09-28 成都云材智慧数据科技有限公司 Material-data processing method, material-data generating method, material-data application method and terminal and material-data cloud processing platform
CN207037042U (en) * 2017-07-19 2018-02-23 山西爱恩科技有限公司 UPS battery operating condition monitoring systems
CN111429579A (en) * 2020-04-13 2020-07-17 北京中岩大地科技股份有限公司 Three-dimensional visual automatic monitoring system platform with BIM technology as carrier
CN111967890A (en) * 2020-09-21 2020-11-20 姚耀春 Lithium ion battery full-life cycle monitoring traceability system and method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113568351A (en) * 2021-07-29 2021-10-29 石家庄通合电子科技股份有限公司 Real-time monitoring system of environmental test equipment

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