CN111781902A - Safe production monitoring management big data cloud platform based on SOA framework - Google Patents
Safe production monitoring management big data cloud platform based on SOA framework Download PDFInfo
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- CN111781902A CN111781902A CN202010609932.1A CN202010609932A CN111781902A CN 111781902 A CN111781902 A CN 111781902A CN 202010609932 A CN202010609932 A CN 202010609932A CN 111781902 A CN111781902 A CN 111781902A
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- 238000007726 management method Methods 0.000 claims description 47
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- 230000003449 preventive effect Effects 0.000 claims description 6
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31088—Network communication between supervisor and cell, machine group
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses a security production monitoring management big data cloud platform based on SOA framework, which comprises a basic supporting platform, a service application platform, a security early warning center, a big data center and an equipment management center, wherein the supervision cloud platform is used for providing a comprehensive management application and service platform of security production supervision and service for government security supervision and management organizations and enterprise units, is used for early warning of security production risks through big data analysis and expert early warning algorithm, and has the advantages that: the intelligent monitoring and management system comprises an organic whole safety production monitoring and management big data cloud platform consisting of a basic supporting platform, a business application platform, a safety early warning center, a big data center and an equipment management center, realizes early warning of safety production risks based on SOA (service oriented architecture) architecture by utilizing technologies such as Beidou, the Internet of things, big data, cloud computing and a space Geographic Information System (GIS), and realizes passive emergency promotion as active prevention, safety accidents are avoided, and precaution is performed in the bud.
Description
The technical field is as follows:
the invention belongs to the technical field of supervision cloud platforms, and particularly relates to a safe production monitoring management big data cloud platform based on an SOA framework.
Background art:
the Beidou + emergency bottom-covering monitoring technology is an emergency monitoring complete device arranged in dangerous source areas such as ground disasters, earthquakes, mines, dangerization and flood disasters, can sense state change conditions such as displacement, vibration, gas concentration, wind direction, wind speed and rainfall in real time, and quickly judges abnormal states to form a dynamic hidden danger list of the areas. The existence of the system can ensure that an enterprise manages and uses the safety monitoring system well, assists a supervision agency to enforce law, and is called as an electronic police vividly.
At present, safety production supervision of enterprise units has defects, safety accidents are easily caused when the safety accidents are responded, the emergency handling capacity is poor, and great loss is caused to enterprise staff and production, so the invention provides the SOA-based safety production monitoring and management big data cloud platform to solve the problems.
The invention content is as follows:
the invention aims to solve the problems, provide a safe production monitoring and management big data cloud platform based on an SOA framework, and solve the defects that the safety production supervision of enterprise units at present has defects, the safety accidents are in a passive state, the emergency handling capacity is poor, the safety accidents are easy to occur, and great losses are caused to enterprise staff and production.
In order to solve the above problems, the present invention provides a technical solution:
a security production monitoring management big data cloud platform based on SOA framework comprises a basic supporting platform, a service application platform, a security early warning center, a big data center and an equipment management center, wherein the supervision cloud platform is used for providing a comprehensive management application and service platform of security production supervision and service for government security supervision and management organizations and enterprise units and is used for early warning of security production risks through big data analysis and expert early warning algorithm;
the foundation support platform is used for providing an integral platform foundation support service;
the business application platform is used for providing business application management service;
the safety early warning center is used for configuring an early warning threshold value by a system, and when monitoring data reaches the early warning threshold value, early warning is triggered, so that safety accidents are prevented in advance;
the big data center is used for acquiring data of a monitored field safety environment through the sensing terminal equipment and uploading the data to the cloud platform, and the cloud platform forms the cloud platform big data center through data analysis, service decomposition and data storage;
the equipment management center is used for daily monitoring and maintenance of the health of the remote terminal equipment through the cloud.
Preferably, the basic support platform comprises authority management, a user account, an organization, operation and maintenance monitoring, administrative region management, system configuration and application management, and the authority management module is used for performing authority identification on an operation request sent by a user; the user account is used for managing user authority, and the user in the user account protects information of the account through the account and the password.
Preferably, the business application platform comprises an enterprise constellation, constellation monitoring, sensor management, a resolving service, video monitoring and application classification, wherein the enterprise constellation is based on enterprise culture, and the resolving service is based on a resolving server and configured according to tasks so that the data center pulls data.
Preferably, the safety early warning center comprises threshold value configuration, an early warning mode, early warning configuration, early warning query and early warning analysis, wherein the threshold value configuration is used for setting an early warning threshold value, the early warning mode is notified to relevant responsible persons in a short message, voice telephone, mail, audio frequency and network software mode, the early warning configuration is used for judging whether to send out early warning information according to the early warning mode in the early warning configuration data according to the data and the early warning threshold value corresponding to the early warning configuration data, and the early warning query is used for sending a request to a server through a terminal to search for the corresponding early warning information and early warning data.
Preferably, the big data center comprises data acquisition, data decomposition, data storage and data analysis, wherein the data acquisition is used for acquiring data of a safety environment of a monitoring site through the sensing terminal device and uploading the data to the cloud platform, the data decomposition is used for receiving original data of the data acquisition, decomposing the acquired original data to obtain frame header data and sampling packet data and outputting decomposition judgment information of the original data decomposition, the data storage is used for storing the acquired data to form the cloud platform big data center, and the data analysis is used for analyzing the acquired data.
Preferably, the device management center includes device monitoring for monitoring device profile information of each field device, device maintenance for acquiring a preventive maintenance cycle of the device and generating a time for which preventive maintenance is expected to be performed, and remote upgrade for performing remote online security upgrade on the device.
Preferably, the supervision cloud platform is based on Beidou, the Internet of things, big data, cloud computing and space geographic information system technologies and is based on a uniform safety production data warehouse.
Preferably, at least one upgrade package is preset in the remote upgrade, and the upgrade package is provided with a corresponding upgrade system version number and comprises a wireless receiving module, a detection and determination module of the current system version number and an upgrade control module.
The invention has the beneficial effects that:
the invention relates to a safe production monitoring management big data cloud platform based on SOA framework, which utilizes the technology of big dipper, Internet of things, big data, cloud computing, space Geographic Information System (GIS) and the like, provides a comprehensive management application and service platform of safe production supervision and service for government safety supervision and management organizations and enterprise units by setting an organic integral safe production monitoring management big data cloud platform consisting of a basic supporting platform, a service application platform, a safety early warning center, a big data center and an equipment management center, taking the real-time concept of a safe production supervision network as a guidance direction and taking a uniform safe production data warehouse as a basis on the basis of SOA framework, realizes early warning of safe production risks through big data analysis and early warning algorithm, and aims at actively preventing safety accidents from passive emergency promotion, the emergency rescue system has the advantages that safety accidents are avoided, precaution is carried out in the bud, and meanwhile, emergency rescue implementation can be scientifically guided when major safety accidents happen to enterprises.
Description of the drawings:
for ease of illustration, the invention is described in detail by the following detailed description and the accompanying drawings.
Fig. 1 is a system diagram of a surveillance cloud platform of the present invention.
The specific implementation mode is as follows:
as shown in fig. 1, the following technical solutions are adopted in the present embodiment: a security production monitoring management big data cloud platform based on SOA framework comprises a basic supporting platform, a service application platform, a security early warning center, a big data center and an equipment management center, wherein the supervision cloud platform is used for providing a comprehensive management application and service platform of security production supervision and service for government security supervision and management organizations and enterprise units and is used for early warning of security production risks through big data analysis and expert early warning algorithm;
the foundation support platform is used for providing an integral platform foundation support service;
the business application platform is used for providing business application management service;
the safety early warning center is used for configuring an early warning threshold value by a system, and when monitoring data reaches the early warning threshold value, early warning is triggered, so that safety accidents are prevented in advance;
the big data center is used for acquiring data of a monitored field safety environment through the sensing terminal equipment and uploading the data to the cloud platform, and the cloud platform forms the cloud platform big data center through data analysis, service decomposition and data storage;
the equipment management center is used for daily monitoring and maintenance of the health of the remote terminal equipment through the cloud.
Furthermore, the basic support platform comprises authority management, a user account, an organization, operation and maintenance monitoring, administrative region management, system configuration and application management, and the authority management module is used for performing authority identification on an operation request sent by a user; the user account is used for managing user authority, and the user in the user account protects information of the account through the account and the password.
Further, the business application platform comprises an enterprise constellation, constellation monitoring, sensor management, a resolving service, video monitoring and application classification, wherein the enterprise constellation is based on enterprise culture, and the resolving service is based on a resolving server and configured according to tasks so that the data center pulls data.
Further, the safety early warning center comprises threshold value configuration, an early warning mode, early warning configuration, early warning query and early warning analysis, wherein the threshold value configuration is used for setting an early warning threshold value, the early warning mode is notified to relevant responsible persons in a short message, voice telephone, mail, audio frequency and network software mode, the early warning configuration is used for judging whether to send out early warning information according to the early warning mode in the early warning configuration data according to the data and the early warning threshold value corresponding to the early warning configuration data, and the early warning query is used for sending a request to a server through a terminal to search for the corresponding early warning information and early warning data.
Further, the big data center comprises data acquisition, data decomposition, data storage and data analysis, wherein the data acquisition is used for carrying out data acquisition and uploading to the cloud platform on the safety environment of the monitoring site through the sensing terminal equipment, the data decomposition is used for receiving the original data of the data acquisition, decomposing the acquired original data to obtain frame header data and sampling packet data and outputting the decomposition judgment information of the original data decomposition, the data storage is used for storing the acquired data to form the cloud platform big data center, and the data analysis is used for analyzing the acquired data.
Further, the equipment management center includes equipment monitoring, equipment maintenance and remote upgrade, the equipment monitoring is used for monitoring equipment general information of each field equipment, the equipment maintenance is used for acquiring a preventive maintenance cycle of the equipment and generating time for predicting to execute the preventive maintenance, and the remote upgrade is used for carrying out remote online safety upgrade on the equipment.
The supervision cloud platform is based on Beidou, the Internet of things, big data, cloud computing and space geographic information system technologies and is based on a uniform safety production data warehouse.
At least one upgrade package is preset in the remote upgrade, and the upgrade package is provided with a corresponding upgrade system version number and comprises a wireless receiving module, a detection and judgment module of the current system version number and an upgrade control module.
Specifically, the method comprises the following steps: when the security production monitoring management big data cloud platform based on the SOA framework is used, the basic supporting platform is used for providing a basic supporting service of the whole platform through the arranged security production monitoring management big data cloud platform which is an organic whole and consists of the basic supporting platform, a service application platform, a security early warning center, a big data center and an equipment management center; the business application platform is used for providing business application management service; the safety early warning center is used for configuring an early warning threshold value by a system, and when the monitoring data reaches the early warning threshold value, early warning is triggered, so that safety accidents are prevented in advance; the big data center is used for acquiring data of a monitored field safety environment through the sensing terminal equipment and uploading the data to the cloud platform, and the cloud platform forms the cloud platform big data center through data analysis, service decomposition and data storage; the equipment management center is used for daily monitoring and maintenance of health of remote terminal equipment through a cloud end, technologies such as Beidou, the Internet of things, big data, cloud computing and a space Geographic Information System (GIS) are utilized, a comprehensive management application and service platform for providing safety production supervision and service for government safety supervision and management organizations and enterprise units is based on SOA architecture, the real-time concept of a safety production supervision network is taken as a guidance direction, a unified safety production data warehouse is taken as a basis, safety production risk early warning is achieved through big data analysis and an expert early warning algorithm, passive emergency rising of safety accidents is taken as an active precaution, safety accidents are completely eradicated, precaution is performed in the bud, and meanwhile when major safety accidents occur in enterprises, emergency rescue implementation can be scientifically guided.
While there have been shown and described what are at present considered to be the fundamental principles of the invention and its essential features and advantages, it will be understood by those skilled in the art that the invention is not limited by the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
Claims (8)
1. The utility model provides a safety in production monitoring management big data cloud platform based on SOA framework which characterized in that: the supervision cloud platform consists of a basic supporting platform, a service application platform, a safety early warning center, a big data center and an equipment management center, is used for providing a comprehensive management application and service platform for safety production supervision and service for government safety supervision and management organizations and enterprise units, and is used for early warning safety production risks through big data analysis and expert early warning algorithms;
the foundation support platform is used for providing an integral platform foundation support service;
the business application platform is used for providing business application management service;
the safety early warning center is used for configuring an early warning threshold value by a system, and when monitoring data reaches the early warning threshold value, early warning is triggered, so that safety accidents are prevented in advance;
the big data center is used for acquiring data of a monitored field safety environment through the sensing terminal equipment and uploading the data to the cloud platform, and the cloud platform forms the cloud platform big data center through data analysis, service decomposition and data storage;
the equipment management center is used for daily monitoring and maintenance of the health of the remote terminal equipment through the cloud.
2. The SOA framework-based safety production monitoring and management big data cloud platform according to claim 1, characterized in that: the basic supporting platform comprises authority management, a user account, an organization, operation and maintenance monitoring, administrative region management, system configuration and application management, and the authority management module is used for performing authority identification on an operation request sent by a user; the user account is used for managing user authority, and the user in the user account protects information of the account through the account and the password.
3. The SOA framework-based safety production monitoring and management big data cloud platform according to claim 1, characterized in that: the business application platform comprises an enterprise constellation, constellation monitoring, sensor management, a resolving service, video monitoring and application classification, wherein the enterprise constellation is based on enterprise culture, and the resolving service is based on a resolving server and is configured according to tasks so that a data center pulls data.
4. The SOA framework-based safety production monitoring and management big data cloud platform according to claim 1, characterized in that: the safety early warning center comprises threshold value configuration, an early warning mode, early warning configuration, early warning query and early warning analysis, wherein the threshold value configuration is used for setting an early warning threshold value, the early warning mode is notified to relevant responsible persons in a short message, voice telephone, mail, audio and network software mode, the early warning configuration is used for judging whether to send out early warning information according to the early warning mode in the early warning configuration data according to the data and the early warning threshold value corresponding to the early warning configuration data, and the early warning query is used for sending a request to a server through a terminal to search for the corresponding early warning information and the early warning data.
5. The SOA framework-based safety production monitoring and management big data cloud platform according to claim 1, characterized in that: the big data center comprises data acquisition, data decomposition, data storage and data analysis, wherein the data acquisition is used for acquiring data of a monitored field safety environment through the sensing terminal equipment and uploading the data to the cloud platform, the data decomposition is used for receiving the original data of the data acquisition and decomposing the acquired original data to obtain frame header data and sampling packet data and outputting the decomposition judgment information of the original data decomposition, the data storage is used for storing the acquired data to form the cloud platform big data center, and the data analysis is used for analyzing the acquired data.
6. The SOA framework-based safety production monitoring and management big data cloud platform according to claim 1, characterized in that: the equipment management center comprises equipment monitoring, equipment maintenance and remote upgrading, wherein the equipment monitoring is used for monitoring equipment general information of each field equipment, the equipment maintenance is used for acquiring a preventive maintenance period of the equipment and generating predicted time for executing the preventive maintenance, and the remote upgrading is used for carrying out remote online safe upgrading on the equipment.
7. The SOA framework-based safety production monitoring and management big data cloud platform according to claim 1, characterized in that: the supervision cloud platform is based on Beidou, the Internet of things, big data, cloud computing and space geographic information system technologies and is based on a uniform safety production data warehouse.
8. The SOA framework-based safety production monitoring and management big data cloud platform of claim 6, wherein: at least one upgrade package is preset in the remote upgrade, and the upgrade package is provided with a corresponding upgrade system version number and comprises a wireless receiving module, a detection and judgment module of the current system version number and an upgrade control module.
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