CN108449235B - Equipment alarm calculation processing system and processing method - Google Patents
Equipment alarm calculation processing system and processing method Download PDFInfo
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Abstract
The invention discloses a device alarm computing processing system and a processing method. According to the invention, the alarm calculation is carried out by means of the self hardware foundation of the Internet of things gateway and the self calculation capability of the Internet of things gateway, so that the calculation pressure of the cloud platform can be reduced when the access devices are more and the data processing capacity is large, the waste of hardware resources is avoided, the hardware requirements of other devices in the system are reduced, and the overall use and maintenance cost of the system is reduced.
Description
Technical Field
The invention relates to a computing processing system and a processing method, in particular to a device alarm computing processing system and a processing method in an internet of things gateway, and belongs to the field of industrial Internet.
Background
In an internet of things or an industrial internet platform, particularly a cloud platform for monitoring equipment health, after the data (such as vibration, temperature, pressure, etc.) of the equipment are collected, the collected data are usually required to be calculated and processed to judge whether the data are in a normal range or not besides being presented to a user in various chart modes. Once the data result is out of normal range, the user needs to be immediately alerted.
In the current internet of things or industrial internet platforms, the conventional operation flow is that after the gateway of the internet of things collects equipment data through a sensor or a PLC, the equipment data are uploaded to a cloud platform, then the cloud platform calculates and processes the data again, whether the numerical value is in a normal range is judged, and if the numerical value is not in the normal range, an alarm is sent to a user through client software.
As can be seen from the description of the conventional operation flow, in the current system architecture, all the computation is performed in the cloud platform, and when the number of access devices is large and the data volume is large, the computation pressure of the cloud platform is increased abruptly. To meet the need for large data computation in such extreme cases, the number of cloud platform servers needs to be increased continuously, requiring a large amount of funds. In addition, as the equipment and the data types accessed by the Internet of things and the industrial Internet cloud platform are various, different data type alarm calculation formulas are usually different, and the alarm calculation is difficult to be performed by using a general calculation formula or method.
With the development of the internet of things technology, the full utilization of the computing power of the terminal side has become the consensus of a plurality of companies in the internet of things industry, and as far as the specific problem of equipment monitoring and alarming is concerned, the internet of things gateway used in the system is a common and very important key device in the internet of things or the industrial internet and is mainly responsible for data acquisition and forwarding. Generally, the hardware resources of the gateway of the internet of things are relatively strong and have strong computing power, but if only the gateway of the internet of things is used for collecting and forwarding data, the strong computing power is wasted completely. This is not consistent with industry development prospects that advocate full utilization of device hardware resources.
In summary, how to design a device alarm computing processing system and processing method in an internet of things gateway, and fully utilize computing capability of the internet of things gateway, so as to solve the problem of insufficient computing capability of a server when a plurality of access devices and a large amount of data are accessed, which is a problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide a system and a method for processing equipment alarm calculation in an internet of things gateway.
The aim of the invention is achieved by the following technical scheme:
a device alert computing processing system, comprising:
the sensing unit is used for collecting the operation data of the tested equipment and uploading the operation data through the first data interface;
the gateway computing unit is used for receiving the operation data uploaded by the sensing unit, performing alarm computation on the operation data, and uploading the operation data and an alarm computation result;
the cloud platform management unit is used for receiving and storing the operation data and the alarm calculation result uploaded by the gateway calculation unit and sending an alarm message notification through a fourth data interface according to the alarm calculation result;
the client feedback unit is used for acquiring the alarm message notification issued by the cloud platform management unit and presenting the equipment operation data and the calculation analysis process;
the gateway computing unit may comprise a processor configured to,
the data acquisition module is used for acquiring the operation data uploaded by the sensing unit and uploading the operation data through a second data interface,
and the alarm calculation module is used for carrying out alarm calculation on the operation data uploaded by the sensing unit and uploading an alarm calculation result through a third data interface.
Preferably, the sensing unit comprises a plurality of sensing devices fixedly arranged on the tested device, each sensing device corresponds to one test point on the tested device, and the sensing device is a sensor or a PLC controller.
Preferably, the first data interface is Modbus, RS232, zigbee or bluetooth.
Preferably, the second data interface is an MQTT communication protocol or an HTTP communication protocol, and the third data interface is an MQTT communication protocol or an HTTP communication protocol.
Preferably, the alarm calculation module includes:
the data reading sub-module is used for reading the data analyzed by the data acquisition module;
the configuration reading submodule is used for acquiring corresponding parameter alarm configuration according to the data read by the data reading submodule;
the judging and processing sub-module judges whether to directly calculate the alarm according to the parameter alarm configuration acquired by the configuration reading sub-module,
when the judgment result is yes, an alarm threshold value is obtained from the parameter alarm configuration, whether an alarm condition is reached or not is judged according to the alarm threshold value calculation result, an alarm level is calculated when the alarm condition is reached,
if the judgment result is negative, reading an alarm calculation script from the parameter alarm configuration, taking the data as an input parameter, calling a script interpreter to run the alarm calculation script for calculation, judging whether an alarm condition is reached according to the calculation result, and calculating an alarm level when the alarm condition is reached;
and the feedback alarm sub-module is used for acquiring a judgment result and an alarm level of whether the alarm calculation script returns to an alarm condition or not, and sending an alarm message to the cloud platform management unit according to the alarm level when the alarm calculation script reaches the alarm condition.
Preferably, the alarm computation script is a lua script language or a JavaScript script language.
Preferably, the fourth data interface is an MQTT communication protocol or a Websocket communication protocol.
Preferably, the cloud platform management unit includes:
the device management module is used for managing the sensing unit, the gateway computing unit and the tested device, and controlling and adjusting the operation of the sensing unit, the gateway computing unit and the tested device;
the data management module is connected with the data acquisition module and used for acquiring, processing and issuing the operation data uploaded by the data acquisition module;
the alarm management module is connected with the alarm calculation module and used for collecting, processing and issuing the alarm message uploaded by the alarm calculation module;
and the data recording module is used for storing and backing up the equipment state, the operation data and the alarm message data.
Preferably, the data recording module includes:
the equipment database is connected with the equipment management module and used for collecting and backing up the running state of the equipment and related parameters;
the original database is connected with the data management module and is used for collecting, issuing and backing up the running data;
and the equipment alarm database is connected with the alarm management module and is used for collecting, issuing and backing up the alarm information.
Preferably, the client feedback unit is any one or a combination of two of an App client and a Web client.
A device alarm calculation processing method comprises the following steps:
s1, a sensing step, namely collecting operation data of tested equipment, and uploading the operation data through a first data interface;
s2, a gateway calculation step, namely receiving the operation data uploaded by the sensing unit, performing alarm calculation on the operation data, and uploading the operation data and an alarm calculation result;
s3, a cloud platform management step, namely receiving and storing the operation data and the alarm calculation result uploaded by the gateway calculation unit, and sending an alarm message notification through a fourth data interface according to the alarm calculation result;
s4, a client side feedback step, namely acquiring an alarm message notification issued by the cloud platform management unit, and presenting equipment operation data and a calculation analysis process;
the gateway computation step of S2 includes,
s21, a data acquisition step, namely acquiring the operation data uploaded by the sensing unit and uploading the operation data through a second data interface,
s22, an alarm calculation step, namely performing alarm calculation on the operation data uploaded by the sensing unit, and uploading an alarm calculation result through a third data interface.
Preferably, the sensing step includes fixedly arranging a plurality of sensing devices on the tested device, so that each sensing device corresponds to one test point on the tested device, and the sensing device is a sensor or a PLC controller.
Preferably, the first data interface is Modbus, RS232, zigbee or bluetooth.
Preferably, the second data interface is an MQTT communication protocol or an HTTP communication protocol, and the third data interface is an MQTT communication protocol or an HTTP communication protocol.
Preferably, the alarm calculating step includes:
s221, a data reading sub-step, namely reading the data analyzed by the data acquisition module;
s222, a configuration reading sub-step, namely acquiring corresponding parameter alarm configuration according to the data read by the data reading sub-module;
s223, judging and processing substep, judging whether to directly calculate the alarm according to the parameter alarm configuration acquired by the configuration reading submodule,
when the judgment result is yes, an alarm threshold value is obtained from the parameter alarm configuration, whether an alarm condition is reached or not is judged according to the alarm threshold value calculation result, an alarm level is calculated when the alarm condition is reached,
if the judgment result is negative, reading an alarm calculation script from the parameter alarm configuration, taking the data as an input parameter, calling a script interpreter to run the alarm calculation script for calculation, judging whether an alarm condition is reached according to the calculation result, and calculating an alarm level when the alarm condition is reached;
s224, feeding back an alarm sub-step, namely acquiring a judgment result and an alarm level of whether the alarm condition is reached or not returned by the alarm calculation script, and sending an alarm message to the cloud platform management unit according to the alarm level when the alarm condition is reached.
Preferably, the alarm computation script is a lua script language or a JavaScript script language.
Preferably, the fourth data interface is an MQTT communication protocol or a Websocket communication protocol.
Preferably, the cloud platform management step includes:
s31, a device management step, wherein the sensing unit, the gateway computing unit and the tested device are managed, and the operation of the sensing unit, the gateway computing unit and the tested device is controlled and adjusted;
s32, establishing connection with a data acquisition module, and acquiring, processing and issuing operation data uploaded by the data acquisition module;
s33, an alarm management step, namely establishing connection with an alarm calculation module, and collecting, processing and issuing alarm information uploaded by the alarm calculation module;
s34, a data recording step, namely storing and backing up the equipment state, the operation data and the alarm message data.
Preferably, the data recording step includes:
s341, equipment data recording, namely establishing connection with an equipment management module, and collecting and backing up recording the running state of equipment and related parameters;
s342, an original data recording step, namely establishing connection with a data management module, and collecting, issuing and backing up operation data;
s343, equipment alarm data recording, namely establishing connection with an alarm management module, and collecting, issuing and backing up alarm information.
Preferably, the client feedback step includes setting a client feedback unit, where the client feedback unit is any one or a combination of two of an App client and a Web client.
Compared with the prior art, the invention has the following outstanding effects:
according to the invention, the alarm calculation is carried out by means of the self hardware foundation of the Internet of things gateway and the self calculation capability of the Internet of things gateway, so that the calculation pressure of the cloud platform can be reduced when the access devices are more and the data processing capacity is large, the waste of hardware resources is avoided, the hardware requirements of other devices in the system are reduced, and the overall use and maintenance cost of the system is reduced.
Meanwhile, the invention adopts two calculation modes of direct calculation and script calculation, which not only gives consideration to the performance of most direct calculation data types, but also adapts to the flexibility of different calculation methods.
In addition, in the use process of the invention, a user can configure the alarm threshold and the calculation script individually according to the use requirement, the system is flexible and convenient to use, can adapt to alarm calculation of most of Internet of things equipment, and has strong compatibility and universality.
In conclusion, the invention has excellent use effect and high use and popularization value.
The following detailed description of the embodiments of the present invention is provided with reference to the accompanying drawings, so that the technical scheme of the present invention can be understood and mastered more easily.
Drawings
Fig. 1 is a block diagram of the structure of the present invention.
Detailed Description
As shown in the figure, the invention discloses a device alarm calculation processing system and a processing method in an Internet of things gateway.
Specifically, a device alarm computing processing system includes:
and the sensing unit is used for collecting the operation data of the tested equipment and uploading the operation data through the first data interface.
And the gateway computing unit is used for receiving the operation data uploaded by the sensing unit, performing alarm computation on the operation data, and uploading the operation data and an alarm computation result.
And the cloud platform management unit is used for receiving and storing the operation data and the alarm calculation result uploaded by the gateway calculation unit and sending an alarm message notification through a fourth data interface according to the alarm calculation result.
And the client feedback unit is used for acquiring the alarm message notification issued by the cloud platform management unit and presenting the equipment operation data and the calculation analysis process.
The gateway computing unit may comprise a processor configured to,
the data acquisition module is used for acquiring the operation data uploaded by the sensing unit and uploading the operation data through a second data interface,
and the alarm calculation module is used for carrying out alarm calculation on the operation data uploaded by the sensing unit and uploading an alarm calculation result through a third data interface.
After the data acquisition module acquires the data, the data is uploaded to the cloud platform management unit, the data is also transmitted to the alarm calculation module through an internal communication mechanism, the alarm calculation module carries out alarm calculation according to a preset threshold range or calculation script after obtaining the data, whether an alarm condition is reached or not is judged, and if the alarm condition is reached, a corresponding alarm message is generated and sent to the cloud platform management unit. The two modules may also be run in the same process in the form of different modules.
The sensing unit comprises a plurality of sensing devices fixedly arranged on the tested device, each sensing device corresponds to one test point on the tested device, and the sensing device is a sensor or a PLC controller.
The first data interface may be a wired communication such as modbus and RS232 or a wireless communication such as Zigbee and bluetooth
The second data interface is MQTT, HTTP or other TCP-based data upload protocol.
The alarm calculation module comprises:
and the data reading sub-module is used for reading the data analyzed by the data acquisition module.
And the configuration reading submodule is used for acquiring corresponding parameter alarm configuration according to the data read by the data reading submodule.
The judging and processing sub-module judges whether to directly calculate the alarm according to the parameter alarm configuration acquired by the configuration reading sub-module,
when the judgment result is yes, an alarm threshold value is obtained from the parameter alarm configuration, whether an alarm condition is reached or not is judged according to the alarm threshold value calculation result, an alarm level is calculated when the alarm condition is reached,
and when the judgment result is negative, reading an alarm calculation script from the parameter alarm configuration, taking the data as an input parameter, calling a script interpreter to run the alarm calculation script for calculation, judging whether an alarm condition is reached according to the calculation result, and calculating the alarm level when the alarm condition is reached.
And the feedback alarm sub-module is used for acquiring a judgment result and an alarm level of whether the alarm calculation script returns to an alarm condition or not, and sending an alarm message to the cloud platform management unit according to the alarm level when the alarm calculation script reaches the alarm condition.
The alarm calculation script is lua script language, javaScript script language or other self-defined script language, and in the technical scheme, the alarm calculation script is preferably lua script language.
The third data interface may be the same as the second data interface, be MQTT, HTTP or other TCP-based data upload protocol, or be a message notification protocol different from the second data interface.
The cloud platform management unit includes:
and the equipment management module is used for managing the sensing unit, the gateway computing unit and the tested equipment, and controlling and adjusting the operation of the sensing unit, the gateway computing unit and the tested equipment.
And the data management module is connected with the data acquisition module and is used for acquiring, processing and issuing the operation data uploaded by the data acquisition module.
And the alarm management module is connected with the alarm calculation module and is used for collecting, processing and issuing the alarm message uploaded by the alarm calculation module.
And the data recording module is used for storing and backing up the equipment state, the operation data and the alarm message data.
The data recording module comprises:
the equipment database is connected with the equipment management module and is used for collecting and backing up the running state of the equipment and related parameters.
The original database is connected with the data management module and is used for collecting, issuing and backing up the running data.
And the equipment alarm database is connected with the alarm management module and is used for collecting, issuing and backing up the alarm information.
The cloud platform management unit can store and manage equipment, users, equipment original data and equipment alarm data, and after the alarm management is carried out, the user and a client used by the user can find out related users according to information in the equipment/user database after receiving the alarm information of the gateway computing unit, and the alarm information is pushed to the users, so that the users can be informed of the alarm information of the equipment in time, and proper processing measures are adopted.
The fourth data interface may be a message push protocol such as MQTT or Websocket.
The client feedback unit can be client software running on a PC and an intelligent handheld terminal, and receives alarm messages pushed from the cloud platform in real time besides presenting various calculation data and graphs of vibration analysis to a user. In the technical scheme, the client feedback unit is any one or the combination of two of an App client and a Web client.
The system processing of the present invention is briefly described below in conjunction with a specific operational flow:
1. the data acquisition module and the alarm calculation module of the gateway calculation unit are in communication connection with the cloud platform management unit, and if the two modules run in one process in a mode of modules, the two modules can share the same connection for communication;
2. the client feedback unit establishes a WebSocket or MQTT long connection with the cloud platform management unit and is used for receiving alarm information in real time;
3. the client feedback unit (which can be different client software or pages) adds and configures the acquired equipment and parameter information in the cloud platform management unit;
4. the cloud platform management unit stores configuration information of the equipment and the parameters into the data recording module;
5. the cloud platform management unit transmits configuration information of the equipment and the parameters to the gateway computing unit;
6. the gateway computing unit stores the equipment and the parameter information locally;
7. the gateway computing unit is used for running a data acquisition and alarm computing module;
8. the data acquisition module of the gateway computing unit acquires data according to the configuration information of the parameters and analyzes the acquired data;
9. the data acquisition module of the gateway computing unit uploads the analyzed data to the cloud platform management unit;
10. the cloud platform management unit stores the data into the equipment original database;
11. the data acquisition module on the gateway computing unit transmits or shares the data to the alarm computing module when the data is analyzed and uploaded to the cloud platform management unit;
12. the alarm calculation module of the gateway calculation unit carries out alarm calculation according to the parameter configuration information;
13. the gateway computing unit judges whether an alarm is generated according to the alarm computing result and computes the alarm level at the same time;
14. if the gateway computing unit reaches an alarm condition, sending an alarm message to the cloud platform management unit;
15. the cloud platform management unit stores the alarm message in a database;
16. the cloud platform management unit pushes the alarm message to a relevant client feedback unit of a user to which the equipment belongs through a WebSocket or an MQTT;
17. the client feedback unit software presents the alert message to the user.
The invention also discloses a device alarm calculation processing method, which comprises the following steps:
s1, a sensing step, namely collecting operation data of the tested equipment, and uploading the operation data through a first data interface.
S2, a gateway calculation step, namely receiving the operation data uploaded by the sensing unit, performing alarm calculation on the operation data, and uploading the operation data and an alarm calculation result.
S3, a cloud platform management step, namely receiving and storing the operation data and the alarm calculation result uploaded by the gateway calculation unit, and sending an alarm message notification through a fourth data interface according to the alarm calculation result.
S4, a client side feedback step, namely acquiring an alarm message notification issued by the cloud platform management unit, and presenting equipment operation data and a calculation analysis process.
The gateway computation step of S2 includes,
s21, a data acquisition step, namely acquiring the operation data uploaded by the sensing unit and uploading the operation data through a second data interface,
s22, an alarm calculation step, namely performing alarm calculation on the operation data uploaded by the sensing unit, and uploading an alarm calculation result through a third data interface.
The sensing step comprises the step of fixedly arranging a plurality of sensing devices on the tested device, so that each sensing device corresponds to one test point on the tested device, and the sensing device is a sensor or a PLC (programmable logic controller).
The alarm calculation step comprises the following steps:
s221, a data reading sub-step, namely reading the data analyzed by the data acquisition module.
S222, a configuration reading sub-step, namely acquiring corresponding parameter alarm configuration according to the data read by the data reading sub-module.
S223, judging and processing substep, judging whether to directly calculate the alarm according to the parameter alarm configuration acquired by the configuration reading submodule,
when the judgment result is yes, an alarm threshold value is obtained from the parameter alarm configuration, whether an alarm condition is reached or not is judged according to the alarm threshold value calculation result, an alarm level is calculated when the alarm condition is reached,
and when the judgment result is negative, reading an alarm calculation script from the parameter alarm configuration, taking the data as an input parameter, calling a script interpreter to run the alarm calculation script for calculation, judging whether an alarm condition is reached according to the calculation result, and calculating the alarm level when the alarm condition is reached.
It should be added that if other data is needed as input parameters in the calculation script, the other data needed for reading from the collected data is also needed to complete the parameter input.
S224, feeding back an alarm sub-step, namely acquiring a judgment result and an alarm level of whether the alarm condition is reached or not returned by the alarm calculation script, and sending an alarm message to the cloud platform management unit according to the alarm level when the alarm condition is reached.
The alarm calculation script is a lua script language or a JavaScript language.
The cloud platform management step comprises the following steps:
s31, managing the sensing unit, the gateway computing unit and the tested equipment, and controlling and adjusting the operation of the sensing unit, the gateway computing unit and the tested equipment.
S32, a data management step, namely establishing connection with a data acquisition module, and acquiring, processing and issuing the operation data uploaded by the data acquisition module.
S33, an alarm management step, namely establishing connection with an alarm calculation module, and collecting, processing and issuing alarm information uploaded by the alarm calculation module.
S34, a data recording step, namely storing and backing up the equipment state, the operation data and the alarm message data.
The data recording step includes:
s341, a device data recording step, wherein connection is established with the device management module, and the device running state and related parameters are collected and backed up.
S342, an original data recording step, namely establishing connection with a data management module, and collecting, issuing and backing up the operation data.
S343, equipment alarm data recording, namely establishing connection with an alarm management module, and collecting, issuing and backing up alarm information.
The client feedback step comprises setting a client feedback unit, wherein the client feedback unit is any one or the combination of two of an App client and a Web client.
In addition, it is also required to supplement that in the internet of things cloud platform, some devices, such as wearable devices, may directly perform calculation and alarm without the internet of things gateway, based on which we can consider the sensor and the internet of things gateway as one device, and perform data acquisition and alarm calculation on the device.
According to the invention, the alarm calculation is carried out by means of the self hardware foundation of the Internet of things gateway and the self calculation capability of the Internet of things gateway, so that the calculation pressure of the cloud platform can be reduced when the access devices are more and the data processing capacity is large, the waste of hardware resources is avoided, the hardware requirements of other devices in the system are reduced, and the overall use and maintenance cost of the system is reduced. Meanwhile, the invention adopts two calculation modes of direct calculation and script calculation, which not only gives consideration to the performance of most direct calculation data types, but also adapts to the flexibility of different calculation methods. In addition, in the use process of the invention, a user can configure the alarm threshold and the calculation script individually according to the use requirement, the system is flexible and convenient to use, can adapt to alarm calculation of most of Internet of things equipment, and has strong compatibility and universality.
In conclusion, the invention has excellent use effect and high use and popularization value.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (14)
1. The equipment alarm calculation processing method is characterized by comprising the following steps of:
s1, a sensing step, namely collecting operation data of tested equipment, and uploading the operation data through a first data interface;
s2, a gateway calculation step, namely receiving the operation data uploaded by the sensing unit, performing alarm calculation on the operation data, and uploading the operation data and an alarm calculation result;
s3, a cloud platform management step, namely receiving and storing the operation data and the alarm calculation result uploaded by the gateway calculation unit, and sending an alarm message notification through a fourth data interface according to the alarm calculation result;
s4, a client side feedback step, namely acquiring an alarm message notification issued by the cloud platform management unit, and presenting equipment operation data and a calculation analysis process;
wherein the step of calculating the gateway in S2 includes,
s21, a data acquisition step, namely acquiring the operation data uploaded by the sensing unit and uploading the operation data through a second data interface,
s22, an alarm calculation step, namely performing alarm calculation on the operation data uploaded by the sensing unit, and uploading an alarm calculation result through a third data interface;
wherein, the step of calculating the alarm in S22 includes:
s221, a data reading sub-step, reading the data analyzed by the data acquisition module,
s222, a configuration reading sub-step, according to the data read by the data reading sub-module, corresponding parameter alarm configuration is collected,
s223, judging and processing substep, judging whether to directly calculate the alarm according to the parameter alarm configuration acquired by the configuration reading submodule,
when the judgment result is yes, an alarm threshold value is obtained from the parameter alarm configuration, whether an alarm condition is reached or not is judged according to the alarm threshold value calculation result, an alarm level is calculated when the alarm condition is reached,
when the judgment result is no, reading an alarm calculation script from the parameter alarm configuration, taking the data as an input parameter, calling a script interpreter to run the alarm calculation script for calculation, judging whether an alarm condition is reached according to the calculation result, calculating an alarm level when the alarm condition is reached,
s224, feeding back an alarm sub-step, namely acquiring a judgment result and an alarm level of whether the alarm condition is reached or not returned by the alarm calculation script, and sending an alarm message to the cloud platform management unit according to the alarm level when the alarm condition is reached;
the cloud platform management step in S3 includes:
s31, a device management step of managing the sensing unit, the gateway computing unit and the tested device, controlling and adjusting the operation of the sensing unit, the gateway computing unit and the tested device,
s32, a data management step, namely establishing connection with a data acquisition module, acquiring, processing and issuing the operation data uploaded by the data acquisition module,
s33, an alarm management step, namely establishing connection with an alarm calculation module, collecting, processing and issuing the alarm information uploaded by the alarm calculation module,
s34, a data recording step, namely storing and backing up the equipment state, the operation data and the alarm message data;
wherein, the step of recording data in S34 includes:
s341, equipment data recording step, establishing connection with the equipment management module, collecting and backup recording the equipment running state and related parameters,
s342, an original data recording step, which is to establish connection with a data management module, collect, issue and backup the operation data,
s343, equipment alarm data recording, namely establishing connection with an alarm management module, and collecting, issuing and backing up alarm information.
2. The apparatus alarm computation processing method according to claim 1, wherein: the sensing step comprises the step of fixedly arranging a plurality of sensing devices on the tested device, so that each sensing device corresponds to one test point on the tested device, and the sensing device is a sensor or a PLC (programmable logic controller).
3. The apparatus alarm computation processing method according to claim 1, wherein: the first data interface is Modbus, RS232, zigbee or Bluetooth.
4. The apparatus alarm computation processing method according to claim 1, wherein: the second data interface is an MQTT communication protocol or an HTTP communication protocol, and the third data interface is an MQTT communication protocol or an HTTP communication protocol.
5. The apparatus alarm computation processing method according to claim 1, wherein: the alarm calculation script is a lua script language or a JavaScript language.
6. The apparatus alarm computation processing method according to claim 1, wherein: the fourth data interface is an MQTT communication protocol or a Websocket communication protocol.
7. The apparatus alarm computation processing method according to claim 1, wherein: the client feedback step comprises setting a client feedback unit, wherein the client feedback unit is any one or the combination of two of an App client and a Web client.
8. A device alert computing processing system, comprising:
the sensing unit is used for collecting the operation data of the tested equipment and uploading the operation data through the first data interface;
the gateway computing unit is used for receiving the operation data uploaded by the sensing unit, performing alarm computation on the operation data, and uploading the operation data and an alarm computation result;
the cloud platform management unit is used for receiving and storing the operation data and the alarm calculation result uploaded by the gateway calculation unit and sending an alarm message notification through a fourth data interface according to the alarm calculation result;
the client feedback unit is used for acquiring the alarm message notification issued by the cloud platform management unit and presenting the equipment operation data and the calculation analysis process;
the gateway computing unit may comprise a processor configured to,
the data acquisition module is used for acquiring the operation data uploaded by the sensing unit and uploading the operation data through a second data interface,
the alarm calculation module is used for carrying out alarm calculation on the operation data uploaded by the sensing unit and uploading an alarm calculation result through a third data interface;
the alarm calculation module comprises:
the data reading sub-module is used for reading the data analyzed by the data acquisition module;
the configuration reading submodule is used for acquiring corresponding parameter alarm configuration according to the data read by the data reading submodule;
the judging and processing sub-module judges whether to directly calculate the alarm according to the parameter alarm configuration acquired by the configuration reading sub-module,
when the judgment result is yes, an alarm threshold value is obtained from the parameter alarm configuration, whether an alarm condition is reached or not is judged according to the alarm threshold value calculation result, an alarm level is calculated when the alarm condition is reached,
if the judgment result is negative, reading an alarm calculation script from the parameter alarm configuration, taking the data as an input parameter, calling a script interpreter to run the alarm calculation script for calculation, judging whether an alarm condition is reached according to the calculation result, and calculating an alarm level when the alarm condition is reached;
the feedback alarm sub-module acquires a judgment result and an alarm level of whether the alarm calculation script returns to an alarm condition or not, and sends an alarm message to the cloud platform management unit according to the alarm level when the alarm calculation script returns to the alarm condition;
the cloud platform management unit includes:
the device management module is used for managing the sensing unit, the gateway computing unit and the tested device, and controlling and adjusting the operation of the sensing unit, the gateway computing unit and the tested device;
the data management module is connected with the data acquisition module and used for acquiring, processing and issuing the operation data uploaded by the data acquisition module;
the alarm management module is connected with the alarm calculation module and used for collecting, processing and issuing the alarm message uploaded by the alarm calculation module;
the data recording module is used for storing and backing up the equipment state, the operation data and the alarm message data;
the cloud platform management unit includes:
the device management module is used for managing the sensing unit, the gateway computing unit and the tested device, and controlling and adjusting the operation of the sensing unit, the gateway computing unit and the tested device;
the data management module is connected with the data acquisition module and used for acquiring, processing and issuing the operation data uploaded by the data acquisition module;
the alarm management module is connected with the alarm calculation module and used for collecting, processing and issuing the alarm message uploaded by the alarm calculation module;
the data recording module is used for storing and backing up the equipment state, the operation data and the alarm message data;
the data recording module comprises:
the equipment database is connected with the equipment management module and used for collecting and backing up the running state of the equipment and related parameters;
the original database is connected with the data management module and is used for collecting, issuing and backing up the running data;
and the equipment alarm database is connected with the alarm management module and is used for collecting, issuing and backing up the alarm information.
9. The device alert computing processing system of claim 8, wherein: the sensing unit comprises a plurality of sensing devices fixedly arranged on the tested device, each sensing device corresponds to one test point on the tested device, and the sensing device is a sensor or a PLC controller.
10. The device alert computing processing system of claim 8, wherein: the first data interface is Modbus, RS232, zigbee or Bluetooth.
11. The device alert computing processing system of claim 8, wherein: the second data interface is an MQTT communication protocol or an HTTP communication protocol, and the third data interface is an MQTT communication protocol or an HTTP communication protocol.
12. The device alert computing processing system of claim 8, wherein: the alarm calculation script is a lua script language or a JavaScript language.
13. The device alert computing processing system of claim 8, wherein: the fourth data interface is an MQTT communication protocol or a Websocket communication protocol.
14. The device alert computing processing system of claim 8, wherein: the client feedback unit is any one or the combination of two of an App client and a Web client.
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| CN111726419B (en) * | 2020-06-29 | 2021-08-06 | 广东技术师范大学 | Sludge dryer model system based on Internet of things |
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