CN115550444A - Water conservancy data acquisition method based on water conservancy Internet of things - Google Patents
Water conservancy data acquisition method based on water conservancy Internet of things Download PDFInfo
- Publication number
- CN115550444A CN115550444A CN202211246907.7A CN202211246907A CN115550444A CN 115550444 A CN115550444 A CN 115550444A CN 202211246907 A CN202211246907 A CN 202211246907A CN 115550444 A CN115550444 A CN 115550444A
- Authority
- CN
- China
- Prior art keywords
- data
- water conservancy
- analysis
- service
- message information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention relates to water conservancy data acquisition, in particular to a water conservancy data acquisition method based on a water conservancy Internet of things, which comprises the steps of building a monitoring service on a data receiving server and building a message queue service on a real-time communication server; configuring a water conservancy acquisition terminal, and sending message information to a monitoring service by the water conservancy acquisition terminal; the data receiving server receives the message information and pushes the message information to a message queue; the data analysis service acquires message information from the message queue, performs data analysis on the message information, and pushes analysis data to the analysis message queue; the data storage service acquires analysis data from the analysis message queue and stores the analysis data into a database; the technical scheme provided by the invention can effectively overcome the defects that the prior art is inconvenient to check the acquired data and maintain the terminal equipment, cannot deal with the condition that the water conservancy acquisition terminal reports the monitoring data in a large batch at high concurrency, and has poor timeliness of acquired data display and low data analysis efficiency.
Description
Technical Field
The invention relates to water conservancy data acquisition, in particular to a water conservancy data acquisition method based on a water conservancy Internet of things.
Background
The water conservancy acquisition terminal is basic equipment for data acquisition in the water conservancy industry, and data acquisition software can be used for displaying the data acquired by the water conservancy acquisition terminal.
The existing water conservancy data acquisition method has the following defects: 1) Because the traditional data acquisition software mostly adopts a C/S (client/server) framework, the expandability of the system is limited, the data acquisition software can only be used on equipment for deploying the system (and can only be deployed on one equipment), and the data acquisition and the maintenance of terminal equipment are inconvenient;
2) The socket receiving service, the data analysis service and the data storage service are integrated services, so that the system encounters a performance bottleneck when the system encounters high concurrency and large-batch reporting of monitoring data of the water conservancy acquisition terminal;
3) The collected data is firstly stored in a relational database, and then the data is obtained from the database, so that the monitoring data cannot be reported and refreshed in real time, and the regular polling in the database is needed.
The defects make the acquisition and timeliness display of water conservancy data greatly restricted, and the demand of prediction and forecast of the water conservancy industry on data support cannot be met.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a water conservancy data acquisition method based on a water conservancy Internet of things, which can effectively overcome the defects that in the prior art, the acquisition data is inconvenient to view and maintain terminal equipment, the condition that a water conservancy acquisition terminal reports monitoring data in a large batch at high concurrency can not be met, the timeliness of data acquisition display is poor, and the data analysis efficiency is low.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a water conservancy data acquisition method based on a water conservancy Internet of things comprises the following steps:
s1, building a monitoring service on a data receiving server, and building a message queue service on a real-time communication server at the same time;
s2, configuring a water conservancy acquisition terminal, and sending message information to a monitoring service by the water conservancy acquisition terminal;
s3, the data receiving server receives the message information and pushes the message information to a message queue;
s4, the data analysis service acquires message information from the message queue, performs data analysis on the message information, and pushes analysis data to the analysis message queue;
s5, the data storage service acquires analysis data from the analysis message queue and stores the analysis data into a database;
s6, the platform acquires analysis data from the database and displays the analysis data;
the data analysis service acquires message information from the message queue, acquires the optimal number of the data analysis services according to the Amdall acceleration ratio when performing data analysis on the message information, and dynamically allocates the data analysis services according to the number of the processes of the currently started data analysis services.
Preferably, the step S1 of building a monitoring service on the data receiving server and building a message queue service on the real-time communication server includes:
opening an external network IP and a port A on a data receiving server, respectively configuring a monitoring IP and a port of a socket monitoring service into the external network IP and the port A, and opening monitoring software;
and meanwhile, establishing a message queue service on the real-time communication server, and creating a iot _ messag message queue.
Preferably, the step S2 is to configure the water conservancy acquisition terminal, and the step S includes that the water conservancy acquisition terminal sends message information to the monitoring service:
respectively configuring an IP (Internet protocol) and a port of a water conservancy acquisition terminal into an external network IP and a port A;
the water conservancy acquisition terminal generates monitoring data generated by the monitoring sensor into message information in a specified format and sends the message information to the socket monitoring service.
Preferably, the step S3 of receiving, by the data receiving server, the message information and pushing the message information to the message queue includes:
and the data receiving server receives the message information and pushes the message information to a iot _ messag message queue.
Preferably, the data parsing service in S4 obtains the message information from the message queue, performs data parsing on the message information, and pushes the parsed data to the parsed message queue, including:
the data analysis service acquires message information from the iot _ messag message queue according to a message protocol, performs data analysis on the message information, and pushes analysis data to the iot _ data analysis message queue.
Preferably, the data analysis service acquires the message information from the message queue, acquires the optimal number of the data analysis services according to the amada acceleration ratio when performing data analysis on the message information, and dynamically allocates the data analysis services according to the number of the currently enabled data analysis service processes, and the method includes:
the Amydar acceleration ratio τ is calculated using the following equation:
wherein, t 1 Time is consumed for completing the data analysis task when the dynamic extended data analysis service is not used; t is t 2 Consuming time for completing a data parsing task when using a dynamic extended data parsing service; the enhancement ratio is t 2 The proportion of the total execution time of the data analysis task is always less than 1; the enhanced acceleration ratio is the ratio of the time consumed for completing the data analysis task under the original condition to the program execution time after the dynamic expansion function is used;
when the Amdall acceleration ratio tau is not less than a set threshold value, the data analysis task is considered to encounter a bottleneck to influence the data analysis efficiency, and the data analysis service is dynamically expanded at the moment;
and when the Amdall acceleration ratio tau is smaller than a set threshold value, stopping the dynamic extended data analysis service.
Preferably, when the data analysis service is dynamically extended, the number of processes of the data analysis service after dynamic extension is less than the maximum number of processes that can be borne by the server, and the data analysis service after dynamic extension is closed after the data analysis task is completed;
wherein, the server can bear the maximum process number and obtain from the server configuration.
Preferably, the step S5 of the data storage service obtaining the parsing data from the parsing message queue and storing the parsing data in the database includes:
the data storage service obtains the analysis data from the iot _ data analysis message queue and stores the analysis data into the database according to the specified storage logic.
Preferably, the step S6 of obtaining the analysis data from the database and displaying the analysis data includes:
and the platform acquires the analysis data from the designated database according to the display logic and displays the analysis data.
Preferably, still include that the platform issues control command to water conservancy acquisition terminal, carry out remote control to water conservancy acquisition terminal, specifically include:
the platform issues a control instruction to a iot _ control instruction message queue, and the socket monitoring service acquires the control instruction from the iot _ control instruction message queue and stores the control instruction in a cache;
after the water conservancy acquisition terminal is connected with the socket monitoring service, the socket monitoring service issues a control command to the water conservancy acquisition terminal, remotely controls the water conservancy acquisition terminal and feeds back an execution result.
(III) advantageous effects
Compared with the prior art, the water conservancy data acquisition method based on the water conservancy Internet of things has the following beneficial effects:
1) Based on a mixed architecture of B/S and C/S, a method of data communication by using socket monitoring service and message middleware enables a water conservancy acquisition terminal and a water conservancy data acquisition platform to form a many-to-many relation, namely, a user can check acquired data or maintain terminal equipment on mobile equipment with internet access conditions;
2) The data receiving server pushes message information sent by the water conservancy acquisition terminal to a message queue for caching, and meanwhile, data analysis service is independent, so that the data receiving service can be horizontally expanded when the water conservancy acquisition terminal reports monitoring data in a large batch at high concurrency, and the problem of performance bottleneck under high concurrency is effectively solved;
3) The data storage service acquires analysis data from the analysis message queue, stores the analysis data into a database, and meanwhile, the water conservancy data acquisition platform acquires the analysis data from the database in real time by using a webSocket technology and performs timeliness display;
4) By using a mode of 'distributed acquisition + edge calculation', a hierarchical cache architecture realizes efficient transmission of data, and greatly reduces the calculation and cache pressure of a data center;
5) The advantages of distributed and hierarchical caching are benefited, so that the data of the data receiving servers are backed up in each data receiving server, and when the data are lost due to extreme conditions, the data can be quickly and synchronously restored;
6) The data analysis service and the data receiving service are independent from each other, and message information is cached by using a message middleware in the middle, so that the data analysis service can be dynamically allocated according to the total amount of the message to be analyzed, and the data analysis efficiency is ensured;
7) And acquiring the optimal number of the data analysis services according to the Amdall acceleration ratio, and dynamically allocating the data analysis services according to the number of the processes of the currently started data analysis services, so that the data analysis services can be optimized optimally.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is an architecture diagram of a water conservancy data acquisition platform according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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.
A water conservancy data acquisition method based on a water conservancy Internet of things is disclosed, as shown in figure 1, (1) a monitoring service is built on a data receiving server, and a message queue service is built on a real-time communication server, and the method specifically comprises the following steps:
opening an external network IP and a port A on a data receiving server, respectively configuring a monitoring IP and a port of the socket monitoring service into the external network IP and the port A, and opening monitoring software;
and meanwhile, establishing a message queue service on the real-time communication server, and creating a iot _ messag message queue.
(2) The method comprises the following steps of configuring a water conservancy acquisition terminal, and sending message information to a monitoring service by the water conservancy acquisition terminal, wherein the method specifically comprises the following steps:
configuring the IP and the port of the water conservancy acquisition terminal into an external network IP and a port A respectively;
the water conservancy acquisition terminal generates monitoring data generated by the monitoring sensor into message information in a specified format and sends the message information to the socket monitoring service.
The data acquisition receiving service is positioned at the forefront of data acquisition, directly communicates with the water conservancy acquisition terminal, and supports a specified protocol to carry out communication and transmit message information, such as Socket communication, modbus communication and the like.
The data acquisition and receiving service is a data provider of the whole platform, not only ensures the characteristics of stability and high efficiency, but also realizes light-weight deployment, so the data acquisition and receiving service is developed and used by using a C #, NET6 is in a cross-platform framework and is released as a console program, and the data acquisition and receiving service can be registered as a system service or installed as a client program.
(3) The data receiving server receives the message information and pushes the message information to the message queue, and the method specifically comprises the following steps:
and the data receiving server receives the message information and pushes the message information to a iot _ messag message queue.
The data center service is a bridge for the communication of the whole system and bears the real-time communication intermediary service of the whole system. The data center is built by using message middleware or by using an MQTT protocol, and the data center services have three roles of a Producer (Producer), a Consumer (Consumer) and a theme (Topic).
And the Producer (Producer) corresponds to the data acquisition receiving service, acquires the monitoring data and then sends the monitoring data to a corresponding theme (Topic). The Topic (Topic) is used to distinguish different categories of data, such as storing dam safety monitoring data into a Topic _ damslow Topic and stormwater data into a Topic _ PPTN Topic, so that a Consumer (Consumer) will obtain data from the Topic _ damslow Topic and store data from the Topic _ PPTN Topic into a stormwater table.
(4) The data analysis service acquires the message information from the message queue, performs data analysis on the message information, and pushes the analysis data to the analysis message queue, and the data analysis service specifically includes:
the data analysis service acquires message information from the iot _ messag message queue according to a message protocol, performs data analysis on the message information, and pushes analysis data to the iot _ data analysis message queue.
The data analysis service acquires message information from the message queue, acquires the optimal number of the data analysis services according to the Amdall acceleration ratio when the message information is subjected to data analysis, and dynamically allocates the data analysis services according to the number of the processes of the currently started data analysis services, and specifically comprises the following steps:
the Amydal acceleration ratio τ is calculated using the following equation:
wherein, t 1 Time is consumed for completing the data analysis task when the dynamic extended data analysis service is not used; t is t 2 Consuming time for completing a data parsing task when using a dynamic extended data parsing service; the enhancement ratio is t 2 The proportion of the total execution time of the data analysis task is always less than 1; the enhanced acceleration ratio is the ratio of the time consumed for completing the data analysis task under the original condition to the program execution time after the dynamic expansion function is used;
when the Amdall acceleration ratio tau is not less than a set threshold value, the data analysis task is considered to encounter a bottleneck to influence the data analysis efficiency, and the data analysis service is dynamically expanded at the moment;
and when the Amdall acceleration ratio tau is smaller than a set threshold, stopping the dynamic extended data analysis service.
When the data analysis service is dynamically expanded, the number of the data analysis service processes after dynamic expansion is smaller than the maximum number of the processes which can be borne by the server, and the data analysis service after dynamic expansion is closed after the data analysis task is completed. Wherein, the server can bear the maximum process number and obtain from the server configuration.
(5) The data storage service acquires the analysis data from the analysis message queue and stores the analysis data into the database, and the data storage service specifically comprises the following steps:
the data storage service obtains the analysis data from the iot _ data analysis message queue and stores the analysis data into the database according to the specified storage logic.
The data storage service is the last link of the whole system and is divided into a data analysis module and a data storage module. The data analysis module is responsible for analyzing the message information in the corresponding theme into the plaintext, and the data storage module stores the plaintext into the database. The difficulty of the data storage service is to solve the performance bottleneck problem when the water conservancy acquisition terminal reports the monitoring data in a large batch at high concurrency.
And when the Amdall acceleration ratio tau is not less than the set threshold, starting the dynamic extended data analysis service. For example, the threshold is set to 3, and when the amedalan acceleration ratio τ is not less than 3, the data analysis task is considered to be a bottleneck, which affects the data analysis efficiency, and at this time, the dynamic extended data analysis service is started.
When data accumulation occurs, the data analysis service can be dynamically expanded, a new process is started for data analysis operation, so that the data storage service is also characterized by stable, efficient and lightweight deployment and supports horizontal expansion. NET6 is a cross-platform architecture, published as a console program, supporting both registration into system services and installation into client programs.
(6) The platform acquires and displays the analysis data from the database, and specifically comprises the following steps:
and the platform acquires the analysis data from the designated database according to the display logic and displays the analysis data.
In this application technical scheme, still include that the platform issues control command to water conservancy acquisition terminal, carries out remote control to water conservancy acquisition terminal, specifically includes:
the platform issues a control instruction to a iot _ control instruction message queue, and the socket monitoring service acquires the control instruction from the iot _ control instruction message queue and stores the control instruction in a cache;
after the water conservancy acquisition terminal is connected with the socket monitoring service, the socket monitoring service issues a control command to the water conservancy acquisition terminal, remotely controls the water conservancy acquisition terminal and feeds back an execution result.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A water conservancy data acquisition method based on a water conservancy Internet of things is characterized in that: the method comprises the following steps:
s1, building a monitoring service on a data receiving server, and building a message queue service on a real-time communication server at the same time;
s2, configuring a water conservancy acquisition terminal, and sending message information to a monitoring service by the water conservancy acquisition terminal;
s3, the data receiving server receives the message information and pushes the message information to a message queue;
s4, the data analysis service acquires message information from the message queue, performs data analysis on the message information, and pushes analysis data to the analysis message queue;
s5, the data storage service acquires analysis data from the analysis message queue and stores the analysis data into a database;
s6, the platform acquires and displays the analysis data from the database;
the data analysis service acquires message information from the message queue, acquires the optimal number of the data analysis services according to the Amdall acceleration ratio when performing data analysis on the message information, and dynamically allocates the data analysis services according to the number of the processes of the currently started data analysis services.
2. The water conservancy Internet of things-based water conservancy data acquisition method according to claim 1, characterized in that: in S1, a monitoring service is built on a data receiving server, and a message queue service is built on a real-time communication server, and the method comprises the following steps:
opening an external network IP and a port A on a data receiving server, respectively configuring a monitoring IP and a port of a socket monitoring service into the external network IP and the port A, and opening monitoring software;
meanwhile, a message queue service is built on the real-time communication server, and a iot _ messag message queue is created.
3. The water conservancy Internet of things-based water conservancy data acquisition method according to claim 2, wherein: s2, configuring a water conservancy acquisition terminal, and sending message information to a monitoring service by the water conservancy acquisition terminal, wherein the message information comprises:
configuring the IP and the port of the water conservancy acquisition terminal into an external network IP and a port A respectively;
the water conservancy acquisition terminal generates monitoring data generated by the monitoring sensor into message information in a specified format and sends the message information to the socket monitoring service.
4. A water conservancy data acquisition method based on a water conservancy Internet of things according to claim 3, characterized in that: s3, the data receiving server receives the message information and pushes the message information to a message queue, and the method comprises the following steps:
and the data receiving server receives the message information and pushes the message information to a iot _ messag message queue.
5. The water conservancy Internet of things-based water conservancy data acquisition method according to claim 4, wherein: s4, the data analysis service acquires the message information from the message queue, performs data analysis on the message information, and pushes the analysis data to the analysis message queue, and the method comprises the following steps:
the data analysis service acquires message information from the iot _ messag message queue according to a message protocol, performs data analysis on the message information, and pushes analysis data to the iot _ data analysis message queue.
6. The water conservancy Internet of things-based water conservancy data acquisition method according to claim 5, wherein: the data analysis service acquires message information from the message queue, acquires the optimal number of the data analysis services according to the Amdall acceleration ratio when the message information is subjected to data analysis, and dynamically allocates the data analysis services according to the number of the processes of the currently started data analysis services, and comprises the following steps:
the Amydal acceleration ratio τ is calculated using the following equation:
wherein, t 1 Time is consumed for completing the data analysis task when the dynamic extended data analysis service is not used; t is t 2 Consuming time for completing a data parsing task when using a dynamic extended data parsing service; the enhancement ratio is t 2 The proportion of the total execution time for completing the data analysis task is always less than 1; the enhanced speed-up ratio is the ratio of the time consumed for completing the data analysis task under the original condition to the program execution time after the dynamic expansion function is used;
when the Amdall acceleration ratio tau is not less than a set threshold value, the data analysis task is considered to encounter a bottleneck to influence the data analysis efficiency, and the data analysis service is dynamically expanded at the moment;
and when the Amdall acceleration ratio tau is smaller than a set threshold value, stopping the dynamic extended data analysis service.
7. The water conservancy Internet of things-based water conservancy data acquisition method according to claim 6, wherein: when the data analysis service is dynamically expanded, the number of processes of the data analysis service after dynamic expansion is smaller than the maximum number of processes which can be borne by the server, and the data analysis service of dynamic expansion is closed after the data analysis task is completed;
wherein, the server can bear the maximum process number and obtain from the server configuration.
8. A water conservancy data acquisition method based on a water conservancy Internet of things according to claim 5, characterized in that: s5, the data storage service acquires the analysis data from the analysis message queue and stores the analysis data into a database, and the method comprises the following steps:
the data storage service obtains the analysis data from the iot _ data analysis message queue and stores the analysis data into the database according to the specified storage logic.
9. The water conservancy Internet of things-based water conservancy data acquisition method according to claim 8, wherein: s6, the platform acquires analysis data from the database and displays the analysis data, and the method comprises the following steps:
and the platform acquires the analysis data from the designated database according to the display logic and displays the analysis data.
10. The water conservancy Internet of things-based water conservancy data acquisition method according to claim 9, wherein: still including the platform issue control command to water conservancy acquisition terminal, carry out remote control to water conservancy acquisition terminal, specifically include:
the platform issues a control instruction to a iot _ control instruction message queue, and the socket monitoring service acquires the control instruction from the iot _ control instruction message queue and stores the control instruction in a cache;
after the water conservancy acquisition terminal is connected with the socket monitoring service, the socket monitoring service issues a control command to the water conservancy acquisition terminal, remotely controls the water conservancy acquisition terminal and feeds back an execution result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211246907.7A CN115550444A (en) | 2022-10-12 | 2022-10-12 | Water conservancy data acquisition method based on water conservancy Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211246907.7A CN115550444A (en) | 2022-10-12 | 2022-10-12 | Water conservancy data acquisition method based on water conservancy Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115550444A true CN115550444A (en) | 2022-12-30 |
Family
ID=84734367
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211246907.7A Pending CN115550444A (en) | 2022-10-12 | 2022-10-12 | Water conservancy data acquisition method based on water conservancy Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115550444A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117149897A (en) * | 2023-10-31 | 2023-12-01 | 成都交大光芒科技股份有限公司 | Big data alarm information hierarchical display system and method based on double-buffer technology |
-
2022
- 2022-10-12 CN CN202211246907.7A patent/CN115550444A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117149897A (en) * | 2023-10-31 | 2023-12-01 | 成都交大光芒科技股份有限公司 | Big data alarm information hierarchical display system and method based on double-buffer technology |
| CN117149897B (en) * | 2023-10-31 | 2024-01-26 | 成都交大光芒科技股份有限公司 | Big data alarm information hierarchical display system and method based on double-buffer technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109327509B (en) | Low-coupling distributed streaming computing system of master/slave architecture | |
| CN106453288B (en) | A kind of distributed micro services frame system that supporting asynchronous mode and its implementation | |
| CN106647586B (en) | A kind of virtual computer room visual control management system and method based on B/S framework | |
| CN110445856B (en) | Internet of things communication assembly management and control system and method supporting multi-protocol access | |
| US20100330969A1 (en) | Method and apparatus for managing profile information of mobile terminal in mobile communications system | |
| CN105338061A (en) | Lightweight message oriented middleware realization method and system | |
| JP2014531179A (en) | Network bandwidth throttling using traffic scheduling | |
| CN115550444A (en) | Water conservancy data acquisition method based on water conservancy Internet of things | |
| CN112039983B (en) | Method and system for realizing connection middleware of Internet of things equipment | |
| CN112600881A (en) | Method, device, server and storage medium for providing service of internet of things | |
| CN111381832B (en) | Automatic deployment control method and device, computer equipment and storage medium | |
| CN104363110A (en) | EMS man-machine interface monitoring system and implementing method based on interface calculating service | |
| CN115051997B (en) | Distributed resource scheduling method and device, storage medium and electronic equipment | |
| CN111371653A (en) | Equipment monitoring data display method and related device | |
| CN116010065A (en) | Distributed task scheduling method, device and equipment | |
| CN115757998A (en) | Dynamic rendering method and device for power grid data | |
| WO2018233592A1 (en) | Method for maintaining sequencing of messages, network node, and storage medium | |
| CN115426274A (en) | Resource early warning method and device, electronic equipment and storage medium | |
| CN114501347A (en) | Information interaction method, device and system between heterogeneous systems | |
| CN107241233A (en) | A kind of multichannel telemetry double computer cooperation acquisition method | |
| CN106991129B (en) | Real-time database system based on SOA (service oriented architecture) framework power dispatching system and implementation method | |
| CN116450353A (en) | Processor core matching method and device, electronic equipment and storage medium | |
| TW202215262A (en) | Reverse proxy method and storage device with delay sensing and load balancing | |
| CN113867287B (en) | Industrial data acquisition method and system | |
| CN109660955A (en) | Position monitoring method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |