CN112828939A - System for controlling pressure sensor based on big data - Google Patents

System for controlling pressure sensor based on big data Download PDF

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Publication number
CN112828939A
CN112828939A CN202110011683.0A CN202110011683A CN112828939A CN 112828939 A CN112828939 A CN 112828939A CN 202110011683 A CN202110011683 A CN 202110011683A CN 112828939 A CN112828939 A CN 112828939A
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module
information transmission
detection
processing unit
central processing
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CN202110011683.0A
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Chinese (zh)
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陈伟波
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J19/00Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
    • B25J19/02Sensing devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

The invention discloses a system for controlling a pressure sensor based on big data, which comprises a remote client and a sensor, wherein the remote client is in communication connection with the sensor through an information transmission module; the sensor comprises a mechanical claw, a detection box and a central processing unit, the detection box is positioned on one side of the sensor, the mechanical claw is positioned on the other side of the sensor, and the central processing unit is positioned inside the sensor; the central processing unit comprises an environment detection system and a geological detection system, the central processing unit is connected with the environment detection system, and the geological detection system is connected with the central processing unit; the detection box comprises a sample self-detection system, and is connected with the sample self-detection system; the mechanical claw comprises a sample wafer self-taking system, and the mechanical claw is connected with the sample wafer self-taking system.

Description

System for controlling pressure sensor based on big data
Technical Field
The invention relates to the technical field of sensors, in particular to a system for controlling a pressure sensor based on big data.
Background
The sensor is a detection device which can sense the measured information and convert the sensed information into an electric signal or other information in a required form according to a certain rule to output so as to meet the requirements of information transmission, processing, storage, display, recording, control and the like.
The sensor features include: miniaturization, digitalization, intellectualization, multifunction, systematization and networking. The method is the first link for realizing automatic detection and automatic control. The existence and development of the sensor enable the object to have the senses of touch, taste, smell and the like, and the object slowly becomes alive. Generally, the sensor is classified into ten categories, i.e., a thermosensitive element, a photosensitive element, a gas-sensitive element, a force-sensitive element, a magnetic-sensitive element, a humidity-sensitive element, a sound-sensitive element, a radiation-sensitive element, a color-sensitive element, and a taste-sensitive element, according to their basic sensing functions.
The existing system for controlling the pressure sensor based on big data is inconvenient for sampling and detecting, so that products are species suitable for environmental growth after passing through the sensor environment detection, and then are brought back to sampling and detecting, the products cannot be detected on the spot, and certain inconvenience is brought.
Disclosure of Invention
In view of the deficiencies of the prior art, the present invention provides a system for controlling a pressure sensor based on big data.
In order to achieve the purpose, the invention is realized by the following technical scheme: a system for controlling a pressure sensor based on big data comprises a remote client and a sensor, wherein the remote client is in communication connection with the sensor through an information transmission module;
the sensor comprises a mechanical claw, a detection box and a central processing unit, the detection box is positioned on one side of the sensor, the mechanical claw is positioned on the other side of the sensor, and the central processing unit is positioned inside the sensor;
the central processing unit comprises an environment detection system and a geological detection system, the central processing unit is connected with the environment detection system, and the geological detection system is connected with the central processing unit;
the detection box comprises a sample self-detection system, and is connected with the sample self-detection system;
the mechanical claw comprises a sample wafer self-taking system, and the mechanical claw is connected with the sample wafer self-taking system.
Preferably, the sample wafer self-checking system comprises a sample wafer detection module, a sample wafer access module and an information transmission module, the sample wafer self-checking system is in communication connection with the sample wafer detection module through the information transmission module, and the sample wafer self-checking system is in communication connection with the sample wafer access module through the information transmission module.
Preferably, the sample wafer self-taking system comprises a sample wafer sampling module and an information transmission module, and the sample wafer self-taking system is in communication connection with the sample wafer sampling module through the information transmission module.
Preferably, the environment detection module comprises a temperature detection module, a humidity detection module and an information transmission module, the environment detection module is in communication connection with the temperature detection module through the information transmission module, and the environment detection module is in communication connection with the humidity detection module through the information transmission module.
Preferably, the geological detection system comprises an acidic detection module, an alkaline detection module and an information transmission module, the geological detection system is in communication connection with the acidic detection module through the information transmission module, and the geological detection system is in communication connection with the alkaline detection module through the information transmission module.
Preferably, the sample wafer self-taking system is in communication connection with the central processing unit through the information transmission module, the sample wafer self-checking system is in communication connection with the central processing unit through the information transmission module, the environment detection system is in communication connection with the central processing unit through the information transmission module, and the geological detection system is in communication connection with the central processing unit through the information transmission module.
Preferably, the remote client is any one of a mobile phone and a controller.
The invention provides a system for controlling a pressure sensor based on big data. Compared with the prior art, the method has the following beneficial effects: when the system is used, a remote client is bound with a sensor through app and is connected with the sensor, the sensor is controlled through the remote client to detect environment and geology, the detection mode is a temperature detection module and a humidity detection module in an environment detection system, so that people can conveniently transmit environment information to a central processing unit through an information transmission module, the central processing unit transmits the information to the remote client so that people can conveniently observe the information, then, through an acid detection module and an alkaline detection module in the geology detection system, people can conveniently transmit the geological information to the central processing unit through the information transmission module, the central processing unit transmits the information to the remote client so that people can conveniently observe the information, when the environment and the geology both accord with sample collection, the sample can be collected through a sample sampling module in a sample self-taking system through a mechanical claw and transmitted to the sample self-taking system through the information transmission module, then the sample wafer self-taking system transmits information to the central processing unit, the central processing unit transmits the information to the remote client, then the remote client feeds the information back to the central processing unit, the sample wafer is placed in the detection box through the mechanical claw, then the sample wafer self-detection system is controlled to detect the sample wafer, the detection process is carried out through the sample wafer detection module, if the sample wafer is qualified, the information is transmitted to the central processing unit through the information transmission module, then the information is transmitted to the remote client through the central processing unit and is accessed through the sample wafer access module, then the information is transmitted to the central processing unit through the information transmission module, and finally the information is transmitted to the remote client through the central processing unit and is observed.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic block diagram of the gripper of the present invention;
FIG. 3 is a schematic block diagram of the cartridge of the present invention;
FIG. 4 is a functional block diagram of the environmental detection system of the present invention;
FIG. 5 is a schematic block diagram of a geological detection system of the present invention;
FIG. 6 is a schematic block diagram of a dailies self-inspection system of the present invention;
FIG. 7 is a schematic block diagram of a sample film self-taking system according to 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.
Referring to fig. 1-7, an embodiment of the present invention provides a technical solution: a system for controlling a pressure sensor based on big data comprises a remote client and a sensor, wherein the remote client is in communication connection with the sensor through an information transmission module;
the sensor comprises a mechanical claw, a detection box and a central processing unit, the detection box is positioned on one side of the sensor, the mechanical claw is positioned on the other side of the sensor, and the central processing unit is positioned inside the sensor;
the central processing unit comprises an environment detection system and a geological detection system, the central processing unit is connected with the environment detection system, and the geological detection system is connected with the central processing unit;
the detection box comprises a sample self-detection system, and is connected with the sample self-detection system;
the mechanical claw comprises a sample wafer self-taking system, and the mechanical claw is connected with the sample wafer self-taking system.
In an optional embodiment, the sample self-inspection system includes a sample detection module, a sample access module and an information transmission module, the sample self-inspection system is in communication connection with the sample detection module through the information transmission module, and the sample self-inspection system is in communication connection with the sample access module through the information transmission module.
In an optional embodiment, the self-sampling system comprises a sampling module and an information transmission module, and the self-sampling system is in communication connection with the sampling module through the information transmission module.
In an optional embodiment, the environment detection module includes a temperature detection module, a humidity detection module and an information transmission module, the environment detection module is in communication connection with the temperature detection module through the information transmission module, and the environment detection module is in communication connection with the humidity detection module through the information transmission module.
In an optional embodiment, the geological detection system comprises an acidic detection module, an alkaline detection module and an information transmission module, the geological detection system is in communication connection with the acidic detection module through the information transmission module, and the geological detection system is in communication connection with the alkaline detection module through the information transmission module.
In an optional embodiment, the sample self-taking system is in communication connection with the central processing unit through the information transmission module, the sample self-checking system is in communication connection with the central processing unit through the information transmission module, the environment detection system is in communication connection with the central processing unit through the information transmission module, and the geological detection system is in communication connection with the central processing unit through the information transmission module.
In an optional embodiment, the remote client is any one of a mobile phone and a controller.
And those not described in detail in this specification are well within the skill of those in the art.
Instructions for use: when the system is used, a remote client is bound with a sensor through app and is connected with the sensor, the sensor is controlled through the remote client to detect environment and geology, the detection mode is a temperature detection module and a humidity detection module in an environment detection system, so that people can conveniently transmit environment information to a central processing unit through an information transmission module, the central processing unit transmits the information to the remote client so that people can conveniently observe the information, then, through an acid detection module and an alkaline detection module in the geology detection system, people can conveniently transmit the geological information to the central processing unit through the information transmission module, the central processing unit transmits the information to the remote client so that people can conveniently observe the information, when the environment and the geology both accord with sample collection, the sample can be collected through a sample sampling module in a sample self-taking system through a mechanical claw and transmitted to the sample self-taking system through the information transmission module, then the sample wafer self-taking system transmits information to the central processing unit, the central processing unit transmits the information to the remote client, then the remote client feeds the information back to the central processing unit, the sample wafer is placed in the detection box through the mechanical claw, then the sample wafer self-detection system is controlled to detect the sample wafer, the detection process is carried out through the sample wafer detection module, if the sample wafer is qualified, the information is transmitted to the central processing unit through the information transmission module, then the information is transmitted to the remote client through the central processing unit and is accessed through the sample wafer access module, then the information is transmitted to the central processing unit through the information transmission module, and finally the information is transmitted to the remote client through the central processing unit and is observed.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. A big data control pressure sensor-based system comprises a remote client and a sensor, and is characterized in that: the remote client is in communication connection with the sensor through the information transmission module;
the sensor comprises a mechanical claw, a detection box and a central processing unit, the detection box is positioned on one side of the sensor, the mechanical claw is positioned on the other side of the sensor, and the central processing unit is positioned inside the sensor;
the central processing unit comprises an environment detection system and a geological detection system, the central processing unit is connected with the environment detection system, and the geological detection system is connected with the central processing unit;
the detection box comprises a sample self-detection system, and is connected with the sample self-detection system;
the mechanical claw comprises a sample wafer self-taking system, and the mechanical claw is connected with the sample wafer self-taking system.
2. The big-data based pressure sensor system of claim 1, wherein: the sample wafer self-checking system comprises a sample wafer detection module, a sample wafer access module and an information transmission module, the sample wafer self-checking system is in communication connection with the sample wafer detection module through the information transmission module, and the sample wafer self-checking system is in communication connection with the sample wafer access module through the information transmission module.
3. The big-data based pressure sensor system of claim 1, wherein: the sample wafer self-taking system comprises a sample wafer sampling module and an information transmission module, and is in communication connection with the sample wafer sampling module through the information transmission module.
4. The big-data based pressure sensor system of claim 1, wherein: the environment detection module comprises a temperature detection module, a humidity detection module and an information transmission module, the environment detection module is in communication connection with the temperature detection module through the information transmission module, and the environment detection module is in communication connection with the humidity detection module through the information transmission module.
5. The big-data based pressure sensor system of claim 1, wherein: the geological detection system comprises an acid detection module, an alkaline detection module and an information transmission module, the geological detection system is in communication connection with the acid detection module through the information transmission module, and the geological detection system is in communication connection with the alkaline detection module through the information transmission module.
6. The big-data based pressure sensor system of claim 1, wherein: the sample wafer self-taking system is in communication connection with the central processing unit through the information transmission module, the sample wafer self-checking system is in communication connection with the central processing unit through the information transmission module, the environment detection system is in communication connection with the central processing unit through the information transmission module, and the geological detection system is in communication connection with the central processing unit through the information transmission module.
7. The big-data based pressure sensor system of claim 1, wherein: the remote client is any one of a mobile phone and a controller.
CN202110011683.0A 2021-03-20 2021-03-20 System for controlling pressure sensor based on big data Pending CN112828939A (en)

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Application Number Priority Date Filing Date Title
CN202110011683.0A CN112828939A (en) 2021-03-20 2021-03-20 System for controlling pressure sensor based on big data

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Application Number Priority Date Filing Date Title
CN202110011683.0A CN112828939A (en) 2021-03-20 2021-03-20 System for controlling pressure sensor based on big data

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103630697A (en) * 2013-11-06 2014-03-12 苏州缪斯信息科技有限公司 Automatic sampling soil composition detector of agricultural greenhouse
KR20170134044A (en) * 2016-05-27 2017-12-06 동양미래대학교 산학협력단 Agricultural Robot for Pest Control and Agricultural Robot System for Pest Control Therewith
US20170366877A1 (en) * 2016-06-19 2017-12-21 Edyza, Inc. Modular sensor architecture for soil and water analysis at various depths from the surface
CN108388182A (en) * 2018-03-26 2018-08-10 成都佰人佰思科技有限公司 A kind of EMS based on big data
CN109656251A (en) * 2018-12-29 2019-04-19 中国矿业大学 A kind of crusing robot and working method for Mine Abandoned Land Soil K+adsorption
CN110186708A (en) * 2019-06-27 2019-08-30 深圳大学 A kind of month base position fidelity coring device
KR20190106093A (en) * 2018-03-07 2019-09-18 주식회사 하이드로봇테크앤리서치 Data collection apparatus for exploring seabed
CN111638083A (en) * 2020-06-12 2020-09-08 湖北省农业科学院农业质量标准与检测技术研究所 Automatic sampling equipment and method for topsoil of dry land

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103630697A (en) * 2013-11-06 2014-03-12 苏州缪斯信息科技有限公司 Automatic sampling soil composition detector of agricultural greenhouse
KR20170134044A (en) * 2016-05-27 2017-12-06 동양미래대학교 산학협력단 Agricultural Robot for Pest Control and Agricultural Robot System for Pest Control Therewith
US20170366877A1 (en) * 2016-06-19 2017-12-21 Edyza, Inc. Modular sensor architecture for soil and water analysis at various depths from the surface
KR20190106093A (en) * 2018-03-07 2019-09-18 주식회사 하이드로봇테크앤리서치 Data collection apparatus for exploring seabed
CN108388182A (en) * 2018-03-26 2018-08-10 成都佰人佰思科技有限公司 A kind of EMS based on big data
CN109656251A (en) * 2018-12-29 2019-04-19 中国矿业大学 A kind of crusing robot and working method for Mine Abandoned Land Soil K+adsorption
CN110186708A (en) * 2019-06-27 2019-08-30 深圳大学 A kind of month base position fidelity coring device
CN111638083A (en) * 2020-06-12 2020-09-08 湖北省农业科学院农业质量标准与检测技术研究所 Automatic sampling equipment and method for topsoil of dry land

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