CN110337085A - A kind of Quality Monitoring Control System based on cloud - Google Patents
A kind of Quality Monitoring Control System based on cloud Download PDFInfo
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- CN110337085A CN110337085A CN201910639982.1A CN201910639982A CN110337085A CN 110337085 A CN110337085 A CN 110337085A CN 201910639982 A CN201910639982 A CN 201910639982A CN 110337085 A CN110337085 A CN 110337085A
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- 238000013500 data storage Methods 0.000 claims abstract description 7
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- 230000004927 fusion Effects 0.000 claims description 8
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- 230000002776 aggregation Effects 0.000 claims description 6
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Abstract
The invention discloses a kind of Quality Monitoring Control Systems based on cloud, its Cloud Server is made of data storage module, data sheet generation module, air quality sensing node regulation module and GSM communication module, data sheet generation module directly calculates the characteristic of monitoring data by PYTHON script, seek target component, and the target component acquired is inserted into prefabricated latex template together with the figure line of air quality node state track, pdf report is then generated by the compiling of latex compiler, is sent to each terminal user through GSM communication module；Air quality sensing node regulates and controls module and perceives inserting knot track figure line and each air quality sensing node task by target delivery air quality of optimal utility, and realizes the regulation of each air quality sensing node.The present invention can intuitively realize checking and capable of quickly extracting effective information for monitoring result, and generate report, so as to quickly find air quality problems.
Description
Technical field
The present invention relates to cloud systems, and in particular to a kind of Quality Monitoring Control System based on cloud.
Background technique
Cloud, which refers to, unites the series resources such as hardware, software, network in wide area network or local area network, realizes number
According to calculating, storage, processing and a kind of shared trustship technology.
The monitoring node of traditional quality monitoring system mostly uses greatly the mode for arrangement of artificially setting foot-point to carry out, and is distributed sparse orphan
Vertical, arrangement is unreasonable, and while influencing entire sensor network operation effectiveness, the cloud transmission and cloud that can not achieve data are total to
It enjoys, global Environment Evaluation Model can not be established.Meanwhile the air quality type of traditional environment monitoring system detection is single, ginseng
Number isolate it is uncorrelated, can not reaction environment true current intelligence.
Summary of the invention
To solve the above problems, the present invention provides a kind of Quality Monitoring Control Systems based on cloud.
To achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of Quality Monitoring Control System based on cloud, comprising:
Air quality sensing node, is arranged in area to be tested by climbing robot, between each air quality sensing node
Self-organizing network is formed by ZigBee module, for realizing the dynamic sensing and data fusion of multi-parameter；
Cloud Server, by data storage module, data sheet generation module, air quality sensing node regulation module and GSM
Communication module is constituted, and data storage module is used to completely record all historical informations of entire monitoring process, and data sheet is raw
It is used to be automatically performed the processing analysis of monitoring data at module, when analysis, monitoring data is directly calculated by PYTHON script
Characteristic seeks target component, and the target component acquired is inserted in advance together with the figure line of air quality node state track
The latex template of system then generates pdf report by the compiling of latex compiler, and pdf report is sent to respectively through GSM communication module
Terminal user；Air quality sensing node regulates and controls detection demand of the module based on input, using optimal utility as target delivery air
Quality perceives inserting knot track figure line and each air quality sensing node task, and based on air quality perception section
Point arrangement track figure line and each air quality sensing node task realize the regulation of each air quality sensing node.
Further, the air quality sensing node is opened up by embedded be mounted on climbing robot of electric telescopic rod
Mounting groove in, after reaching specified destination, electric telescopic rod automatic traction air quality sensing node stretches out mounting groove, and opens
Dynamic air quality sensing node.
Further, air quality sensing node regulation module is embodied between each sensor node by forwarding energy
It cooperates, constitutes a cooperation learning by a node and along all nodes of its routed path, joined on this basis
It builds mould jointly, and completes the adjustment of each sensor node position according to modeling result, to realize optimal utility.
Further, the air quality sensing node includes sensing unit, processing unit, communication unit and power supply list
Member, sensing unit are responsible for perceiving air quality information, the data perceived are sent to processing unit and are pocessed, processor unit
Containing two parts of storage assembly and embedded processing component, storage assembly is responsible for the data information that storage is collected into, and executes design
The program code stored, to coordinate the information between fusion different sensors；Processing component is according to the program originally stored
Or the instruction that Cloud Server issues, starting sension unit collects the information of environment, and will send after collected Data Fusion
To communication unit；Communication unit is responsible for data information and is transmitted between sensor node；Power supply unit is as entire sensor section
The basic module of point guarantees the normal work well of node.
Further, the climbing robot arranges that trajectory diagram line drives air quality sense according to air quality sensing node
Node motion is known to target location, to form corresponding detection circle.
Further, further includes:
Satellite image acquisition module is sent to cloud for carrying out the acquisition of target area satellite image, and by acquired image
Server inserts prefabricated latex template together, then generates pdf report by the compiling of latex compiler.
Further, single environment sensing node can realize the perception of a variety of air qualities, and air quality sensing node is logical
The mode for crossing dynamic routing and multi-hop transmission transfers data to aggregation node, and aggregation node passes through GPRS and Internet
Network realizes connection, sends Cloud Server for environment sensing parameter, and each terminal can be with by access Cloud Server after logging in
Data is shared in realization permission.
Further, the climbing robot is automatically closed air quality sensing node and takes after completing monitoring task
Monitoring center station is returned to it.
Further, an air quality sensing node monitoring of working condition module is contained on the climbing robot, for realizing
The monitoring of air quality sensing node real-time working condition, when monitoring result falls into fault threshold, electric telescopic rod drives spare sky
Makings amount sensing node stretches out mounting groove, starts dedicated air quality sensing node, and closing fault air quality sensing node,
Remaining task is continued to execute, while returning air quality perception node failure table and air quality sensing node switch registrating number
According to Cloud Server, prefabricated latex template is inserted together, pdf report is then generated by the compiling of latex compiler.
The invention has the following advantages:
1) inserting knot is perceived by target delivery air quality of optimal utility according to different detection requirements by Cloud Server
Track figure line and each air quality sensing node task realize to improve the reasonability of sensor node arrangement
The maximization of sensor network effectiveness.
2) it can intuitively realize checking and capable of quickly extracting effective information for monitoring result, and generate report, thus
It can quickly find air quality problems.
Detailed description of the invention
Fig. 1 is a kind of system block diagram of the Quality Monitoring Control System based on cloud of the embodiment of the present invention.
Specific embodiment
In order to which objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further
It is described in detail.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to limit this hair
It is bright.
As shown in Figure 1, the embodiment of the invention provides a kind of Quality Monitoring Control Systems based on cloud, comprising:
Air quality sensing node, is arranged in area to be tested by climbing robot, between each air quality sensing node
Self-organizing network is formed by ZigBee module, for realizing the dynamic sensing and data fusion of multi-parameter；Single environment sensing
Node can realize the perception of a variety of air qualities, and air quality sensing node will be counted by way of dynamic routing and multi-hop transmission
According to aggregation node is transferred to, aggregation node realizes connection by GPRS and Internet network, environment sensing parameter is sent out
It is sent to Cloud Server, after logging in by accessing Cloud Server sharing for data in permission may be implemented in each terminal；
Cloud Server, by data storage module, data sheet generation module, air quality sensing node regulation module and GSM
Communication module is constituted, and data storage module is used to completely record all historical informations of entire monitoring process, and data sheet is raw
It is used to be automatically performed the processing analysis of monitoring data at module, when analysis, monitoring data is directly calculated by PYTHON script
Characteristic seeks target component, and the target component acquired is inserted in advance together with the figure line of air quality node state track
The latex template of system then generates pdf report by the compiling of latex compiler, and pdf report is sent to respectively through GSM communication module
Terminal user；Air quality sensing node regulates and controls detection demand of the module based on input, is target using random using optimal utility
Forest delivery air quality perceives inserting knot track figure line and each air quality sensing node task, and is based on the sky
Makings amount sensing node arranges that track figure line and each air quality sensing node task realize each air quality sensing node
Regulation；
Satellite image acquisition module is sent to cloud for carrying out the acquisition of target area satellite image, and by acquired image
Server inserts prefabricated latex template together, then generates pdf report by the compiling of latex compiler.
In the present embodiment, the climbing robot is detected around robot by binocular vision sensor and laser radar
The complaint message of environment, and the posture information of itself is grasped by 3-dimensional digital compass, it realizes the avoidance and obstacle detouring of robot, leads to
The positioning that GPS positioning module realizes itself is crossed, air quality sensing node is mounted on crawling machine by the way that electric telescopic rod is embedded
In the mounting groove opened up on people, after reaching specified destination, electric telescopic rod automatic traction air quality sensing node stretches out peace
Tankage, and start air quality sensing node.The climbing robot arranges trajectory diagram tape according to air quality sensing node
Dynamic air quality sensing node is moved to target location, to form corresponding detection circle, after completing monitoring task, air matter
Amount sensing node, which is automatically closed and carries it by climbing robot, returns to monitoring center station.
In the present embodiment, air quality sensing node regulates and controls module by forwarding energy to embody between each sensor node
Collaborative work, by a node and along its routed path all nodes constitute a cooperation learning, carry out on this basis
Joint models, and the adjustment of each sensor node position is completed according to modeling result, to realize optimal utility.
In the present embodiment, the air quality sensing node includes sensing unit, processing unit, communication unit and power supply list
Member, sensing unit are responsible for perceiving air quality information, the data perceived are sent to processing unit and are pocessed, processor unit
Containing two parts of storage assembly and embedded processing component, storage assembly is responsible for the data information that storage is collected into, and executes design
The program code stored, to coordinate the information between fusion different sensors；Processing component is according to the program originally stored
Or the instruction that Cloud Server issues, starting sension unit collects the information of environment, and will send after collected Data Fusion
To communication unit；Communication unit is responsible for data information and is transmitted between sensor node；Power supply unit is as entire sensor section
The basic module of point guarantees the normal work well of node.
In the present embodiment, an air quality sensing node monitoring of working condition module is contained on the climbing robot, is used for base
In the monitoring of BP neural network model realization air quality sensing node real-time working condition, when monitoring result falls into fault threshold,
Electric telescopic rod drives dedicated air quality sensing node to stretch out mounting groove, starts dedicated air quality sensing node, and close
Failure air quality sensing node continues to execute remaining task, while returning air quality perception node failure table and air
Quality sensing node switches registration data to Cloud Server, inserts prefabricated latex template together, is then compiled by latex
Device compiling generates pdf report.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the principle of the present invention, it can also make several improvements and retouch, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (9)
1. a kind of Quality Monitoring Control System based on cloud characterized by comprising
Air quality sensing node, is arranged in area to be tested by climbing robot, between each air quality sensing node
Self-organizing network is formed by ZigBee module, for realizing the dynamic sensing and data fusion of multi-parameter；
Cloud Server, by data storage module, data sheet generation module, air quality sensing node regulation module and GSM
Communication module is constituted, and data storage module is used to completely record all historical informations of entire monitoring process, and data sheet is raw
It is used to be automatically performed the processing analysis of monitoring data at module, when analysis, monitoring data is directly calculated by PYTHON script
Characteristic seeks target component, and the target component acquired is inserted in advance together with the figure line of air quality node state track
The latex template of system then generates pdf report by the compiling of latex compiler, and pdf report is sent to respectively through GSM communication module
Terminal user；Air quality sensing node regulates and controls detection demand of the module based on input, using optimal utility as target delivery air
Quality perceives inserting knot track figure line and each air quality sensing node task, and based on air quality perception section
Point arrangement track figure line and each air quality sensing node task realize the regulation of each air quality sensing node.
2. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that the air quality sense
Know that node is mounted in the mounting groove opened up on climbing robot by the way that electric telescopic rod is embedded, after reaching specified destination, electricity
Dynamic telescopic rod automatic traction air quality sensing node stretches out mounting groove, and starts air quality sensing node.
3. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that air quality perception section
Point regulation module embodies the collaborative work between each sensor node by forwarding energy, by a node and along its routing
All nodes in path constitute a cooperation learning, carry out joint modeling on this basis, and complete each sensing according to modeling result
The adjustment of device node location, to realize optimal utility.
4. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that the air quality sense
Know that node includes sensing unit, processing unit, communication unit and power supply unit, sensing unit is responsible for perceiving air quality information,
The data perceived are sent to processing unit to be pocessed, processor unit two portions containing storage assembly and embedded processing component
Point, storage assembly is responsible for the data information that storage is collected into, and the program code that design has stored is executed, to coordinate to merge not simultaneous interpretation
Information between sensor；The instruction that processing component is issued according to the program or Cloud Server originally stored starts sension unit
The information of environment is collected, and communication unit will be sent to after collected Data Fusion；Communication unit is responsible for data information and exists
It is transmitted between sensor node；Basic module of the power supply unit as entire sensor node guarantees the normal work well of node.
5. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that the climbing robot
Arrange that trajectory diagram line drives air quality sensing node to be moved to target location according to air quality sensing node, to form phase
The detection circle answered.
6. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that further include:
Satellite image acquisition module is sent to cloud for carrying out the acquisition of target area satellite image, and by acquired image
Server inserts prefabricated latex template together, then generates pdf report by the compiling of latex compiler.
7. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that single environment sensing section
The perception of a variety of air qualities can be achieved in point, and air quality sensing node is by way of dynamic routing and multi-hop transmission by data
It is transferred to aggregation node, aggregation node realizes connection by GPRS and Internet network, environment sensing parameter is sent
To Cloud Server, after logging in by accessing Cloud Server sharing for data in permission is may be implemented in each terminal.
8. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that the climbing robot
After completing monitoring task, air quality sensing node is automatically closed and carries its return monitoring center station.
9. a kind of Quality Monitoring Control System based on cloud as described in claim 1, which is characterized in that the climbing robot
On contain an air quality sensing node monitoring of working condition module, for realizing the monitoring of air quality sensing node real-time working condition,
When monitoring result falls into fault threshold, electric telescopic rod drives dedicated air quality sensing node to stretch out mounting groove, starts standby
With air quality sensing node, and closing fault air quality sensing node, continue to execute remaining task, while returning air matter
Sensing node bug list and air quality sensing node switching registration data are measured to Cloud Server, is inserted together prefabricated
Latex template then generates pdf report by the compiling of latex compiler.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111578999A (en) * | 2020-05-25 | 2020-08-25 | 东北电力大学 | Integrated information monitoring system of ring main unit |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104284388A (en) * | 2014-10-20 | 2015-01-14 | 上海电机学院 | Mobile Ad Hoc network independent clustering and routing method |
| CN104916114A (en) * | 2015-06-11 | 2015-09-16 | 福建工程学院 | System and method for publishing environmental parameter business data based on microblog |
| CN204788471U (en) * | 2015-06-15 | 2015-11-18 | 河海大学 | Open -air intelligent secret temperature and water level monitoring system based on raspberry group |
| CN107567044A (en) * | 2017-10-30 | 2018-01-09 | 云南民族大学 | A kind of wireless sensor network |
| US20180146532A1 (en) * | 2015-01-12 | 2018-05-24 | Yutou Technology (Hangzhou) Co., Ltd. | A lighting control system |
| CN108168603A (en) * | 2017-12-18 | 2018-06-15 | 吉林农业科技学院 | A kind of novel greenhouse monitoring system based on wireless sensor network |
| CN108965409A (en) * | 2018-07-02 | 2018-12-07 | 梧州市兴能农业科技有限公司 | Air quality intelligent real time monitoring system |
| CN109067879A (en) * | 2018-08-08 | 2018-12-21 | 四川理工学院 | A kind of Internet of Things multi-parameter water quality on-line monitoring system |
| CN109862532A (en) * | 2019-02-28 | 2019-06-07 | 北京交通大学 | Rail traffic status monitoring multisensor node layout's optimization method and system |
-
2019
- 2019-07-16 CN CN201910639982.1A patent/CN110337085A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104284388A (en) * | 2014-10-20 | 2015-01-14 | 上海电机学院 | Mobile Ad Hoc network independent clustering and routing method |
| US20180146532A1 (en) * | 2015-01-12 | 2018-05-24 | Yutou Technology (Hangzhou) Co., Ltd. | A lighting control system |
| CN104916114A (en) * | 2015-06-11 | 2015-09-16 | 福建工程学院 | System and method for publishing environmental parameter business data based on microblog |
| CN204788471U (en) * | 2015-06-15 | 2015-11-18 | 河海大学 | Open -air intelligent secret temperature and water level monitoring system based on raspberry group |
| CN107567044A (en) * | 2017-10-30 | 2018-01-09 | 云南民族大学 | A kind of wireless sensor network |
| CN108168603A (en) * | 2017-12-18 | 2018-06-15 | 吉林农业科技学院 | A kind of novel greenhouse monitoring system based on wireless sensor network |
| CN108965409A (en) * | 2018-07-02 | 2018-12-07 | 梧州市兴能农业科技有限公司 | Air quality intelligent real time monitoring system |
| CN109067879A (en) * | 2018-08-08 | 2018-12-21 | 四川理工学院 | A kind of Internet of Things multi-parameter water quality on-line monitoring system |
| CN109862532A (en) * | 2019-02-28 | 2019-06-07 | 北京交通大学 | Rail traffic status monitoring multisensor node layout's optimization method and system |
Non-Patent Citations (3)
| Title |
|---|
| 何玉庆: "《机械人技术发展路线图理论与实践》", 31 August 2016 * |
| 国家知识产权局专利局专利审查协作江苏中心: "《热点专利技术分析与运用》", 30 September 2017 * |
| 辛颖: "《机器人控制技术》", 31 December 2017 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111578999A (en) * | 2020-05-25 | 2020-08-25 | 东北电力大学 | Integrated information monitoring system of ring main unit |
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