CN108965436B - Efficient and stable communication system for gas detection system based on sensor network - Google Patents
Efficient and stable communication system for gas detection system based on sensor network Download PDFInfo
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- CN108965436B CN108965436B CN201810806472.4A CN201810806472A CN108965436B CN 108965436 B CN108965436 B CN 108965436B CN 201810806472 A CN201810806472 A CN 201810806472A CN 108965436 B CN108965436 B CN 108965436B
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- H—ELECTRICITY
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Abstract
The invention relates to a high-efficiency stable communication system for a gas detection system based on a sensor network, which comprises a detection ground end, a data communication layer which is communicated with the detection ground end and used in a matched manner, and a cloud end which is communicated with the detection ground end through the data communication layer; the detection ground end comprises a data acquisition node, an acquired data storage module A and a communication module; the data communication layer includes: the signal transmission node is communicated with the communication module; the signal transmission node comprises a signal conditioning circuit, a processor, a first ad hoc network module, a 485 module and a gas alarm controller; the first wireless ad hoc network module comprises a data communication module; the data communication module comprises a data storage module, a 485 module, an RJ45 module and a second ad hoc network module; the second ad hoc network module is in communication connection with the first ad hoc network module and is communicated with the processor, the data storage module, the 485 module and the RJ45 module are in communication connection with the processor, and the processor is connected with the data communication module through the 485 module or the RJ45 module.
Description
Technical Field
The invention relates to a gas detection technology, in particular to an intelligent monitoring technology for gas detection, and particularly discloses a high-efficiency stable communication system for a gas detection system based on a sensor network.
Background
The combustible gas is widely used in social production and life, and because the combustible gas has the flammable dangerous characteristic, a detection link is required to be set, so that accidents are prevented; at present, a gas detection device is generally arranged, and a detection sensor is arranged in the gas detection device to detect the gas state;
the processing of the detection data in the current detection link generally comprises the following steps:
1) the method comprises the steps of periodically utilizing a manual gas collection detection device to detect data, and then recording detection data time and values through table records;
2) the detection sensor is connected to the data acquisition PC equipment, the PLC of the data acquisition PC equipment sets timing data acquisition, regular storage is carried out, and detection data are periodically consulted manually;
the detection link at the present stage includes the following defects:
1) the data detection of the gas use environments in different areas is relatively independent, and unified management cannot be performed;
2) the processing mode of the detected data needs to be recorded or consulted manually at regular intervals, so that a large dangerous blind spot exists;
3) the safety prediction of the gas use environment cannot be intelligently carried out.
Therefore, there is a need to provide a sensor network based gas detection system with an efficient and stable communication system to solve the above problems.
Disclosure of Invention
The invention aims to provide a high-efficiency stable communication system for a gas detection system based on a sensor network.
The technical scheme is as follows:
a high-efficiency stable communication system for a gas detection system based on a sensor network comprises a detection ground end, a data communication layer which is communicated with the detection ground end and used in a matched mode, and a cloud end which is communicated with the detection ground end through the data communication layer;
the detection ground end comprises a data acquisition node, an acquired data storage module A and a communication module;
the data communication layer includes: the signal transmission node is communicated with the communication module;
the signal transmission node comprises a signal conditioning circuit, a processor, a first ad hoc network module, a 485 module and a gas alarm controller;
the 485 module and the gas alarm controller are in communication connection with the processor;
the first wireless ad hoc network module comprises a data communication module;
the data acquisition node is in butt joint with the processor through the signal conditioning circuit, the processor is communicated with the first ad hoc network module, and the first ad hoc network module is communicated with the communication module;
the data communication module comprises a data storage module, a 485 module, an RJ45 module and a second ad hoc network module;
the second ad hoc network module is in communication connection with the first ad hoc network module and is communicated with the processor, the data storage module, the 485 module and the RJ45 module are in communication connection with the processor, and the processor is connected with the data communication module through the 485 module or the RJ45 module;
the cloud comprises a subsystem management module.
Furthermore, the data communication module transmits the data to the cloud based on local area network, internet, 3G/4G/5G and other modes.
Further, the subsystem management module comprises a regional control center, a regional integrated control node and an information and control center.
Furthermore, the regional integrated control node constructs a regional integrated subsystem, the regional control center is connected with the functional facility nodes in the region, and the state parameters of the functional facility nodes are collected, stored and monitored.
Furthermore, the area control center determines the dependent areas according to the spatial position, the functional attributes and the state parameters of the data acquisition nodes, forms a node composition scheme of the area integration subsystems of each area, and realizes addressing and address allocation of the functional facility nodes.
Further, the information and control center is used for setting the area integrated control node, and uploading the area information and the area state parameters of the area through establishing communication connection with the information and control center.
Furthermore, the data acquisition node comprises a gas parameter acquisition circuit, a gas circuit, a communication interface unit, and a gas detector or a flame detector which is arranged at the detection point and is set for the function.
Furthermore, the data acquisition node comprises a gas parameter acquisition circuit, a gas circuit, a communication interface unit, and a gas detector or a flame detector which is arranged at the detection point and is set for the function.
Further, the information and control center is used for setting the area integrated control node, and uploading the area information and the area state parameters of the area through establishing communication connection with the information and control center.
Furthermore, the cloud end comprises a Web server which is communicated with an intermediate object, and the intermediate object is generated by combining CORBA and a mobile Agent technology and is used for connecting each regional integration subsystem to realize the instant connection of each regional integration subsystem.
Further, the Web server includes a service providing module: the method comprises the steps of safely logging in according to roles, selecting an access place, generating a movable object and controlling remote access connection.
Further, local access is performed: selecting a login role for login through a service module, and selecting an access place for data viewing through an intermediate object; carrying out remote access: and judging the location of the sub database to be accessed, preparing to connect the sub databases through the intermediate object, performing access identity verification, and then performing data access.
Compared with the prior art, the invention realizes the common Internet of things management of gas use environments in different areas through a high-efficiency communication mode, integrates each detection system and a planning system architecture by taking the area as a unit, and realizes information resource sharing, multi-system cooperation and management control.
Drawings
Fig. 1 is a schematic structural diagram of an embodiment of the present invention.
FIG. 2 is a schematic diagram of a ground detection structure according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data communication layer according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cloud in an embodiment of the present invention.
Detailed Description
Example (b):
the embodiment shows a sensor network-based efficient and stable communication system for a gas detection system;
the method comprises the following steps:
detection ground 1: the system comprises a data acquisition node 11, an acquired data storage module A12 and a communication module 13;
the data acquisition node 11 comprises a gas parameter acquisition circuit, a gas circuit, a communication interface unit, and a gas detector or a flame detector which is arranged at a detection point and is arranged aiming at functions;
the communication module 13 communicated with the communication interface unit is realized by a half-duplex communication module;
after the data acquisition node 11 acquires the detection data, the acquired data storage module a12 stores the data, and then the data is transmitted through the communication module 13;
data communication layer 2:
the method comprises the following steps: a signal transmission node communicated with the communication module 13;
the signal transmission node comprises a signal conditioning circuit 21, a processor 22, a first ad hoc network module 23, a 485 module 25 and a gas alarm controller 26;
the 485 module 25 and the gas alarm controller 26 are in communication connection with the processor 22;
the first wireless ad hoc network module 23 includes a data communication module 24;
the data acquisition node 11 is in butt joint with a processor 22 through a signal conditioning circuit 21, the processor 22 is communicated with a first ad hoc network module 23, and the first ad hoc network module 23 is communicated with a communication module 13;
the data communication module 24 comprises a data storage module 241, a 485 module a242, an RJ45 module 243, and a second ad hoc network module 244;
the second ad hoc network module 244 is in communication connection with the first ad hoc network module 23 and is communicated with the processor 22, the data storage module 241, the 485 module a242 and the RJ45 module 243 are all in communication connection with the processor 22, and the processor is connected with the data communication module 24 through the 485 module a242 or the RJ45 module 243;
the data communication module 24 transmits data to the cloud based on local area network, internet, 3G/4G/5G and other modes;
cloud 3: a subsystem management module 31, a data collection module 32, a data storage module 33, an intelligent analysis module 34 and a Web server 35;
the subsystem management module 31 includes a regional control center 311, a regional integrated control node 312, and an information and control center 313;
the area control center 311 determines the dependent areas according to the spatial positions, the functional attributes and the state parameters of the data acquisition nodes, forms a node composition scheme of the area integration subsystems of each area, and realizes addressing and address allocation of the functional facility nodes;
the regional integrated control node 312 builds a regional integrated subsystem, and the regional control center establishes connection with the functional facility nodes in the region, and collects, stores and monitors the state parameters of the functional facility nodes;
the information and control center 313 is used for setting a region integrated control node, establishing communication connection with the information and control center, and uploading region information and region state parameters of the region;
the Web server 35 includes a service providing module 351: the method comprises the steps of safe login of roles; selecting a visit place; generating a movable object; controlling a remote access connection;
the Web server 35 is communicated with an intermediate object 36, and the intermediate object 36 is generated by combining CORBA and mobile Agent technology and is used for connecting each area integration subsystem to realize the instant connection of each area integration subsystem;
under the distributed heterogeneous environment, the CORBA technology and the mobile Agent technology have complementarity: on one hand, the mobile Agent technology can make up the defects of CORBA in application integration, interoperation and reusability; on the other hand, the CORBA standard which has strong flexibility extension and security guarantee and shields the underlying platform provides an ideal infrastructure for the realization of the autonomous mobility, the migration mode, the security and the like of the mobile Agent;
and local access is carried out: selecting a login role for login through a service module, and selecting an access place for data viewing through an intermediate object;
carrying out remote access: judging the location of the sub database to be accessed, preparing to connect the sub databases through an intermediate object, performing access identity verification, and then performing data access;
the intelligent analysis module 34 performs the intelligent analysis steps of:
1) collecting the area information and the area state parameters uploaded by the area integrated control node 312;
2) monitoring the state of the area according to the area state parameters, and forming a simulated space network by numbering, distributing and recording position information of different types of equipment through each area integration subsystem;
3) the distribution density of the current simulation space network nodes can be displayed through the distribution of each node, and the nodes are controlled by instructions and carry out data acquisition and feedback;
4) establishing an intelligent judgment model based on KNN:
4-1) generating an intensive danger coefficient parameter A of a corresponding area according to the intensive property;
4-2) generating a corresponding environment characteristic risk coefficient parameter B after receiving the data;
4-3) (A, B) form a two-dimensional vector detection point, a plurality of data (A, B) under normal, early warning and danger are collected and marked, a KNN algorithm is adopted for clustering and modeling to form 3 clustering models, the clustering models correspond to 3 grades of normal, early warning and danger and are marked as danger coefficient parameters C, and the grades of the danger coefficient parameters C are judged by utilizing the KNN algorithm to input the collected data into the models;
4-4) issuing an operation and maintenance instruction when the danger coefficient parameter C in the self state is in danger in early warning;
5) a risk early warning module;
5-1) carrying out real-time display, trend display, data storage, historical query and the like on the parameters of the detection points;
5-2) recording data detection data and summarizing the change trend of the data detection;
5-3) transversely comparing and contrasting the current situation and the historical data of the same type of detected gas of different users to objectively reflect the field situation;
5-4) performing regional risk trend analysis by utilizing a virtualization big data storage technology and a cloud processing technology and combining the intensive risk coefficient parameter A and the environmental characteristic risk coefficient parameter B, and then performing feedback;
6) and (3) command issuing:
6-1) comprises a doing person information registration system: the method comprises the following steps that (1) identity information (including mobile phone information) is registered by a worker;
6-2) intelligent allocation: and corresponding to the dense point information, positioning and searching the position of the nearest doing worker, and issuing an instruction.
Compared with the prior art, the embodiment has the following beneficial effects:
1) through the Internet of things mode, gas monitoring links of all regions are integrally managed and mutually coordinated, and unified management of different places is realized; in an integrated system realized based on the Internet of things, all detection systems and a planning system architecture are fused by taking a region as a unit, and information resource sharing, multi-system cooperation and management control are realized;
2) the data can be transmitted in real time conveniently and the monitoring can be carried out effectively through the communication mode implemented efficiently;
3) through intelligent analysis and risk evaluation modes, strict detection and intelligent judgment of dangerous trend are carried out on the gas using environment, and objective theoretical data support is provided for maintenance and replacement of user equipment.
What has been described above are merely some embodiments of the present invention. It will be apparent to those skilled in the art that various changes and modifications can be made without departing from the inventive concept thereof, and these changes and modifications can be made without departing from the spirit and scope of the invention.
Claims (4)
1. The utility model provides a gaseous detecting system is with high-efficient stable communication system based on sensor network which characterized in that: the system comprises a detection ground end, a data communication layer which is communicated with the detection ground end and used in a matched mode, and a cloud end which is communicated with the detection ground end through the data communication layer;
the detection ground end comprises a data acquisition node, an acquired data storage module A and a communication module;
the data acquisition node comprises a gas parameter acquisition circuit, a gas circuit, a communication interface unit, and a gas detector or a flame detector which is arranged at a detection point and is set aiming at functions;
the data communication layer includes: the signal transmission node is communicated with the communication module;
the signal transmission node comprises a signal conditioning circuit, a processor, a first ad hoc network module, a 485 module and a gas alarm controller;
the 485 module and the gas alarm controller are in communication connection with the processor;
the first wireless ad hoc network module comprises a data communication module;
the data acquisition node is in butt joint with the processor through the signal conditioning circuit, the processor is communicated with the first ad hoc network module, and the first ad hoc network module is communicated with the communication module;
the data communication module comprises a data storage module, a 485 module, an RJ45 module and a second ad hoc network module;
the second ad hoc network module is in communication connection with the first ad hoc network module and is communicated with the processor, the data storage module, the 485 module and the RJ45 module are in communication connection with the processor, and the processor is connected with the data communication module through the 485 module or the RJ45 module;
the cloud comprises a subsystem management module; the subsystem management module comprises a regional control center, a regional integrated control node and an information and control center; the regional integrated control node constructs a regional integrated subsystem, the regional control center establishes connection with the functional facility nodes in the region, and collects, stores and monitors the state parameters of the functional facility nodes; the area control center determines the dependent areas according to the spatial position, the functional attribute and the state parameter of the data acquisition node, forms a node composition scheme of the area integration subsystem of each area, and realizes addressing and address allocation of the functional facility nodes; the information and control center is used for setting a region integrated control node, establishing communication connection with the information and control center and uploading region information and region state parameters of the region;
the cloud end comprises a Web server, the Web server is communicated with an intermediate object, the intermediate object is generated by combining CORBA and a mobile Agent technology and is used for connecting the integrated subsystems of each area to realize the instant connection of the integrated subsystems of each area;
the cloud end also comprises an intelligent analysis module;
the intelligent analysis module strictly detects the use environment of the gas and intelligently judges the danger trend; the intelligent analysis module collects the region information and the region state parameters uploaded by the region integrated control node; monitoring the state of the area according to the area state parameters, and forming a simulated space network by numbering, distributing and recording position information of different types of equipment through each area integration subsystem; the distribution density of the current simulation space network nodes can be displayed through the distribution of each node, and the nodes are controlled by instructions and carry out data acquisition and feedback;
the intelligent analysis module also comprises an intelligent judgment model based on KNN; the intelligent judgment model
Generating an intensive danger coefficient parameter A of a corresponding area according to the intensive property, generating a corresponding environment characteristic danger coefficient parameter B after receiving data, forming a two-dimensional vector detection point through the detection points (A, B), collecting the data (A, B) under normal, early warning and danger, marking the normal, early warning and danger, performing cluster modeling by adopting a KN algorithm to form 3 cluster models corresponding to 3 grades of the normal, early warning and danger, marking the data as a danger coefficient parameter C, and inputting the collected data into the model by utilizing the KN algorithm to judge the grade of the danger coefficient parameter C; when the danger coefficient parameter C of the self state is early-warned to be dangerous, issuing an operation and maintenance instruction;
the intelligent analysis module also comprises a risk early warning module; the risk early warning module carries out real-time display, trend display, data storage and historical query on parameters of detection points; recording data detection data and summarizing the change trend of the detection data; the current situation and historical data of the same type of detection gas of different users are combined to carry out transverse comparison and contrast, and the field situation is reflected; performing regional risk trend analysis by using a virtualization big data storage technology and a cloud processing technology and combining an intensive risk coefficient parameter A and an environmental characteristic risk coefficient parameter B, and then performing feedback;
the intelligent analysis module also comprises an instruction issuing module; the instruction issuing module comprises a doing personnel information registration system: the doing personnel register identity information; intelligent allocation: and corresponding to the dense point information, positioning and searching the position of the nearest doing worker, and issuing an instruction.
2. The system of claim 1, wherein the communication system is configured to be stable and efficient for use in a sensor-network based gas detection system, and further configured to: the data communication module transmits data to the cloud based on a local area network, the Internet and a 3G/4G/5G mode.
3. The system of claim 2, wherein the communication system is configured to be stable and efficient for use in a sensor-network based gas detection system, and further configured to: the Web server includes a service providing module: the method comprises the steps of safely logging in according to roles, selecting an access place, generating a movable object and controlling remote access connection.
4. The system of claim 3, wherein the communication system is configured to be stable and efficient for use in a sensor network based gas detection system, and further configured to: and local access is carried out: selecting a login role for login through a service module, and selecting an access place for data viewing through an intermediate object; carrying out remote access: and judging the location of the sub database to be accessed, preparing to connect the sub databases through the intermediate object, performing access identity verification, and then performing data access.
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