CN220570555U - Equipment state monitoring system based on lightweight B/S architecture of Internet of things - Google Patents
Equipment state monitoring system based on lightweight B/S architecture of Internet of things Download PDFInfo
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- CN220570555U CN220570555U CN202322328684.5U CN202322328684U CN220570555U CN 220570555 U CN220570555 U CN 220570555U CN 202322328684 U CN202322328684 U CN 202322328684U CN 220570555 U CN220570555 U CN 220570555U
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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
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Abstract
The utility model discloses a device state monitoring system based on an Internet of things lightweight B/S architecture, and belongs to the technical field of online monitoring. The problems that the traditional industrial control system in the prior art has fewer and incomplete data points, complex data transmission, inconvenient analysis and processing and difficult unified data storage are solved; the utility model comprises a data acquisition module, a communication module, a back-end module and a front-end module; the data acquisition module comprises an Internet of things module and an industrial control system; the internet of things module comprises a wireless sensor, an actuator and an intelligent chip; the communication module comprises a DTU module, an industrial personal computer and a wireless gateway; the back-end module comprises a relational database and a cache database; the data acquisition module is connected with the communication module; the display module is connected with the communication module; the communication module is connected with the back-end module. The utility model can be applied to equipment state monitoring and meets the all-round monitoring requirement of multi-data fusion.
Description
Technical Field
The utility model relates to a device state monitoring system, in particular to a device state monitoring system based on an Internet of things lightweight B/S architecture, and belongs to the technical field of online monitoring.
Background
Conventional thermal power plants, such as boilers, turbines, generators, etc., typically employ DCS decentralized control systems that collect data via sensors mounted on the plant, collect the automatically collected data at intervals on the enterprise's test platform system and draw a related test status trend graph. Therefore, the system reduces the frequency of manual inspection, solves the problems of low efficiency of manual detection and untimely discovery of abnormal signals, but still has the defects of incapability of timely diagnosing equipment faults, early prediction, life evaluation and the like, and cannot meet the development requirement of the current industry 4.0 on intelligent diagnosis and control of equipment.
With the development of modern equipment monitoring and diagnosis technology, the situation that fewer and incomplete data points are collected by the traditional industrial control systems such as a DCS system, a SCADA system and the like cannot meet the measurement point data required by modern equipment diagnosis, and the newly added points often need to shut down large-scale equipment and re-distribute the control system, so that additional economic losses are caused for large-scale enterprises such as power plants and the like. In view of the above, there is a need for an equipment status monitoring system, which can make up for the defect of incomplete data points of industrial control systems such as DCS systems and SCADA systems, and can collect equipment data and upload cloud by using a sensor with light weight.
Disclosure of Invention
The following presents a simplified summary of the utility model in order to provide a basic understanding of some aspects of the utility model. It should be understood that this summary is not an exhaustive overview of the utility model. It is not intended to identify key or critical elements of the utility model or to delineate the scope of the utility model. Its purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.
In view of the above, the utility model provides a device state monitoring system based on an Internet of things lightweight B/S architecture, which aims to solve the problems that in the prior art, data points acquired by a traditional industrial control system are few and incomplete, data transmission is complex and inconvenient to analyze and process, and data is difficult to uniformly store.
The technical proposal is as follows: an equipment state monitoring system based on an Internet of things lightweight B/S architecture comprises a data acquisition module, a display module, a communication module and a back-end module;
the data acquisition module comprises an Internet of things module and an industrial control system, the industrial control system is connected with a wired sensor, and the wired sensor is connected with tested equipment;
the Internet of things module comprises a wireless sensor, an actuator and an intelligent chip, wherein the wireless sensor is connected with the tested equipment, the actuator is respectively connected with the tested equipment and the wireless sensor, and the intelligent chip is connected with the actuator;
the communication module comprises a DTU module, an industrial personal computer and a wireless gateway;
the back-end module comprises a relational database and a cache database;
the data acquisition module is connected with the communication module, and the industrial control system is connected with the industrial personal computer;
the display module is connected with the communication module;
the communication module is connected with the back-end module.
Further, the sensors are a vibration sensor, a temperature sensor, a flow sensor, a pressure sensor and a PH sensor.
Further, the flow sensor, the pressure sensor and the PH sensor are connected with the DTU module, and the vibration sensor and the temperature sensor are connected with the wireless gateway.
Further, the relational database is a MySQL cloud platform database, and the cache database is a redis cloud platform database.
The beneficial effects of the utility model are as follows: according to the utility model, by adding the sensor point positions to collect information such as vibration, temperature and the like of the equipment, the defect of insufficient point positions of DCS and SCADA systems is overcome, and the omnibearing monitoring of multi-data fusion is realized; according to the utility model, the data is more conveniently transmitted to the databases in the cloud and the server by adopting the data acquisition module, so that an operator can conveniently process and analyze the data; according to the utility model, the cloud server is adopted to store the monitoring data in the database, so that the monitoring data can be uniformly managed, stored and compared, and the deployment can be quickly updated and deployed when the back-end module needs to update the data processing algorithm, so that the field redundant debugging is avoided; the utility model adopts a lightweight deployment mode, is convenient for wireless monitoring of equipment, avoids shutdown and production stoppage possibly caused by adding points in the traditional DCS system, and reduces complicated construction maintenance and expensive equipment cost.
Drawings
The accompanying drawings, which are included to provide a further understanding of the utility model and are incorporated in and constitute a part of this specification, illustrate embodiments of the utility model and together with the description serve to explain the utility model and do not constitute a limitation on the utility model. In the drawings:
fig. 1 is a schematic diagram of a device status monitoring system based on an internet of things lightweight B/S architecture.
Reference numerals: 1. a data acquisition module; 2. a display module; 3. a communication module; 4. a back end module; 5. and the Internet of things module.
Detailed Description
In order to make the embodiments and advantages of the present utility model clearer, the embodiments of the present utility model will be described in further detail below with reference to the attached drawings, it should be apparent that the described embodiments are only some embodiments of the present utility model, and not exhaustive of all embodiments. It should be noted that, without conflict, the embodiments of the present utility model and features of the embodiments may be combined with each other.
In the present utility model, unless explicitly specified and limited otherwise, the terms "connected," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between the inside of two electric elements or interaction relationship between the two electric elements. The specific meaning of the above terms in the present utility model can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 for describing the embodiment in detail, an equipment state monitoring system based on the lightweight B/S architecture of the internet of things includes a data acquisition module 1, a display module 2, a communication module 3 and a back-end module 4;
the data acquisition module 1 comprises an Internet of things module 5 and an industrial control system, wherein the industrial control system is connected with a wired sensor, and the wired sensor is connected with tested equipment;
the internet of things module 5 comprises a wireless sensor, an actuator and an intelligent chip, wherein the wireless sensor is connected with the tested equipment, the actuator is respectively connected with the tested equipment and the wireless sensor, and the intelligent chip is connected with the actuator;
the communication module 3 comprises a DTU module, an industrial personal computer and a wireless gateway;
the back-end module 4 comprises a relational database and a cache database;
the data acquisition module 1 is connected with the communication module 3, and the industrial control system is connected with the industrial personal computer;
the display module 2 is connected with the communication module 3;
specifically, in the use process, the industrial control system can adopt a DCS system or an SCADA system, and the utility model selects the DCS system of ECS-700 with the model of a central control technology; the executor selects N32G455 series micro-controllers suitable for industrial control, which can receive the instruction and assist in controlling the accurate operation of the tested equipment; the intelligent chip selects the Xilinx Kintex-7 FPGA, which solves the defects of the industrial control system circuit, and does not need to shut down large-scale equipment or re-control the DCS system when the point is newly added, and the Xilinx Kintex-7 FPGA is adopted for carrying out the complementary circuit design, so that the intelligent chip has the following advantages: the method has the advantages of repeated programming, low power consumption, low time delay and strong calculation power; the communication between the display module 2 and the back-end module 4 adopts RESTful interface specification, the display module 2 calls back-end data through the RESTful API interface, the background responds to the request and feeds back monitoring data to the display module 2, the display module 2 displays the monitoring value, and the display module 2 selects an LED screen.
Further, the sensors are a vibration sensor, a temperature sensor, a flow sensor, a pressure sensor and a PH sensor;
specifically, the running state parameters of the tested equipment collected by the sensor comprise vibration, temperature, flow, pressure and PH value; the vibration sensor and the temperature sensor are triaxial temperature vibration sensors with the model ZW3TD-WF, the flow sensor is an electromagnetic flow sensor with the model CM0-DN200, the pressure sensor is an air pressure sensor with the model TML-801, and the PH sensor is a water PH sensor with the model PH 100.
Further, the flow sensor, the pressure sensor and the PH sensor are connected with the DTU module, and the vibration sensor and the temperature sensor are connected with the wireless gateway;
specifically, the implementation of the communication module 3 is mainly based on a DTU module, an industrial personal computer and a wireless gateway, the three implementation forms correspond to different types of sensors, the DTU module selects an H7000-DLNZ power embedded wireless data terminal, the DTU module carries out wireless transparent transmission on digital signals, the flow sensor, the pressure sensor and the PH sensor need to carry out analog-to-digital conversion on the sensor signals through a data acquisition card, the converted digital signals are sent to the DTU module through the acquisition card, and the DTU module adopts a cellular network to upload data to a back-end module through TCP/IP, MQTT and other communication protocols; the method comprises the steps that a signal acquired by a wired sensor is sent to an industrial control system through a modbus protocol, the industrial control computer uploads data of the industrial control system to a rear-end module through an Emerson Connext OPC UA, and the industrial control computer selects the model of IPC-610-L; the wireless gateway selects the F8L10GW base station to play a role in data transfer, signals collected by the vibration sensor and the temperature sensor in the wireless sensor are transferred to the rear end module through the cellular network, the wireless gateway can perform edge end calculation according to requirements, extract characteristic values and upload data, and the pressure of the rear end module is relieved.
Further, the relational database is a MySQL cloud platform database, and the cache database is a redis cloud platform database.
While the utility model has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of the above description, will appreciate that other embodiments are contemplated within the scope of the utility model as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The disclosure of the present utility model is intended to be illustrative, but not limiting, of the scope of the utility model, which is defined by the appended claims.
Claims (4)
1. The equipment state monitoring system based on the lightweight B/S architecture of the Internet of things is characterized by comprising a data acquisition module (1), a display module (2), a communication module (3) and a back-end module (4);
the data acquisition module (1) comprises an Internet of things module (5) and an industrial control system, wherein the industrial control system is connected with a wired sensor, and the wired sensor is connected with tested equipment;
the Internet of things module (5) comprises a wireless sensor, an actuator and an intelligent chip, wherein the wireless sensor is connected with the tested equipment, the actuator is respectively connected with the tested equipment and the wireless sensor, and the intelligent chip is connected with the actuator;
the communication module (3) comprises a DTU module, an industrial personal computer and a wireless gateway;
the back-end module (4) comprises a relational database and a cache database;
the data acquisition module (1) is connected with the communication module (3), and the industrial control system is connected with the industrial personal computer;
the display module (2) is connected with the communication module (3);
the communication module (3) is connected with the back-end module (4).
2. The device state monitoring system based on the lightweight B/S architecture of the internet of things of claim 1, wherein the wireless sensor is a vibration sensor, a temperature sensor, a flow sensor, a pressure sensor, and a PH sensor.
3. The device state monitoring system based on the lightweight B/S architecture of the internet of things according to claim 2, wherein the flow sensor, the pressure sensor and the PH sensor are connected with the DTU module, and the vibration sensor and the temperature sensor are connected with the wireless gateway.
4. The device state monitoring system based on the lightweight B/S architecture of the internet of things of claim 3, wherein the relational database is a MySQL cloud platform database and the cache database is a redis cloud platform database.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322328684.5U CN220570555U (en) | 2023-08-29 | 2023-08-29 | Equipment state monitoring system based on lightweight B/S architecture of Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202322328684.5U CN220570555U (en) | 2023-08-29 | 2023-08-29 | Equipment state monitoring system based on lightweight B/S architecture of Internet of things |
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| CN202322328684.5U Active CN220570555U (en) | 2023-08-29 | 2023-08-29 | Equipment state monitoring system based on lightweight B/S architecture of Internet of things |
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- 2023-08-29 CN CN202322328684.5U patent/CN220570555U/en active Active
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