CN111866031B - Equipment monitoring and analyzing method and device, server and storage medium - Google Patents
Equipment monitoring and analyzing method and device, server and storage medium Download PDFInfo
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- CN111866031B CN111866031B CN202011006426.XA CN202011006426A CN111866031B CN 111866031 B CN111866031 B CN 111866031B CN 202011006426 A CN202011006426 A CN 202011006426A CN 111866031 B CN111866031 B CN 111866031B
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- 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
- H04L69/08—Protocols for interworking; Protocol conversion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- 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
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- 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
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Abstract
The invention provides a method and a device for monitoring and analyzing equipment, a server and a storage medium, and relates to the technical field of data processing. The method for monitoring the working state of the equipment comprises the following steps: and acquiring industrial data of the production equipment to be monitored, which is acquired by various types of sensors, and analyzing the industrial data to obtain a monitoring and analyzing result of the production equipment to be monitored. When the server acquires the monitoring and analyzing results of the production equipment, the industrial data are acquired by the various sensors, the information included in the industrial data is more comprehensive, and the monitoring and analyzing results obtained by summarizing and analyzing the industrial data can comprehensively and accurately reflect the working state of the production equipment.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for monitoring and analyzing equipment, a server and a storage medium.
Background
With the development of science and technology, various production equipment is more and more, and the monitoring of the working state of the production equipment is more and more necessary. The sensor is used as a detection device which can sense the measured information and convert the sensed information into an electric signal or other information in a required form according to a certain rule and output the electric signal or the information. Monitoring the state of production equipment by sensors is widely popular.
In the related art, a sensor collects data of a production facility, and a sensor monitoring system may analyze data collected by a specific type of sensor to determine an operating state of the production facility.
However, in the related art, the operating state of the production equipment is determined according to the data collected by a specific type of sensor, and the operating state of the production equipment cannot be accurately reflected.
Disclosure of Invention
The present invention is directed to provide a method, an apparatus, a server and a storage medium for monitoring and analyzing equipment, so as to solve the problem in the related art that the operating state of the production equipment cannot be accurately reflected when the operating state of the production equipment is determined according to data collected by a specific type of sensor.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides an apparatus monitoring analysis method, which is applied to a server, where an IOT-HUB technology is deployed on the server, and the method includes:
acquiring industrial data of production equipment to be monitored, which are acquired by various types of sensors;
and analyzing the industrial data to obtain a monitoring and analyzing result of the production equipment to be monitored, wherein the monitoring and analyzing result is used for indicating the working state of the production equipment to be monitored.
Before analyzing the industrial data to obtain a monitoring and analyzing result of the production equipment to be monitored, the method further comprises:
performing protocol conversion on the industrial data acquired by the various types of sensors by adopting the IOT-HUB technology to obtain industrial data after protocol conversion, and sending the industrial data after protocol conversion to a message queue; the communication protocols of the industrial data after the protocol conversion are consistent;
and sending the industrial data after the protocol conversion to a cloud server through the message queue so that the cloud server analyzes the industrial data after the protocol conversion to obtain a monitoring analysis result, and controlling a remote device to display the monitoring analysis result, wherein the IOT-HUB technology is also deployed on the cloud server.
The analyzing the industrial data to obtain the monitoring and analyzing result of the production equipment to be monitored comprises the following steps:
and analyzing the industrial data after the protocol conversion to obtain the monitoring analysis result.
The method for acquiring the industrial data of the production equipment to be monitored, which is acquired by the various types of sensors, comprises the following steps:
receiving the industrial data sent by the multiple types of sensors;
or, receiving the industrial data sent by a plurality of hardware management systems of the production equipment to be monitored, wherein the industrial data sent by each hardware management system is: and each hardware management system corresponds to the data collected by the type of sensor.
Optionally, the method further includes:
acquiring acquisition configuration information of each type of sensor sent by a local terminal; the local terminal is in communication connection with the server;
and issuing the acquisition configuration information of each type of sensor, wherein the acquisition configuration information is used for enabling each type of sensor to acquire data of the production equipment to be monitored according to the acquisition configuration information, and the local terminal is in communication connection with the server.
Optionally, the acquisition configuration information includes at least one of the following information: acquisition interval, acquisition frequency, packet size.
Optionally, the industrial data includes: the method includes the steps that a plurality of types of index data are acquired by one type of sensor, the industrial data are analyzed, a monitoring analysis result of the production equipment to be monitored is obtained, and the monitoring analysis result is used for indicating the working state of the production equipment to be monitored and includes the following steps:
analyzing the various types of index data according to a preset index association relation, and determining abnormal indexes and abnormal production equipment with the abnormal indexes; wherein the index association relationship comprises: and the monitoring and analyzing result comprises indication information of the abnormal index and indication information of the abnormal production equipment.
Optionally, the method further includes:
carrying out early warning grade division according to the information of the abnormal indexes of the abnormal production equipment in a preset time period;
and adopting the divided early warning grades to carry out early warning display on the abnormal production equipment.
In a second aspect, an embodiment of the present invention provides an apparatus monitoring and analyzing device, which is applied to a server, where an IOT-HUB technology is deployed on the server, and the apparatus includes:
the acquisition module is used for acquiring industrial data of the production equipment to be monitored, which are acquired by various types of sensors;
and the analysis module is used for analyzing the industrial data to obtain a monitoring analysis result of the production equipment to be monitored, and the monitoring analysis result is used for indicating the working state of the production equipment to be monitored.
The conversion module is used for carrying out protocol conversion on the industrial data acquired by the various types of sensors by adopting the IOT-HUB technology to obtain the industrial data after the protocol conversion, and sending the industrial data after the protocol conversion to a message queue; the communication protocols of the industrial data after the protocol conversion are consistent; and sending the industrial data after the protocol conversion to a cloud server through the message queue so that the cloud server analyzes the industrial data after the protocol conversion to obtain a monitoring analysis result, and controlling a remote device to display the monitoring analysis result, wherein the IOT-HUB technology is also deployed on the cloud server.
The analysis module is further configured to analyze the industrial data after the protocol conversion to obtain the monitoring analysis result;
the acquisition module is further used for receiving the industrial data sent by the various types of sensors; or, receiving the industrial data sent by a plurality of hardware management systems of the production equipment to be monitored, wherein the industrial data sent by each hardware management system is: and each hardware management system corresponds to the data collected by the type of sensor.
Optionally, the apparatus further comprises:
the issuing module is used for acquiring acquisition configuration information of each type of sensor sent by the local terminal; the local terminal is in communication connection with the server; and issuing the acquisition configuration information of each type of sensor, wherein the acquisition configuration information is used for enabling each type of sensor to acquire data of the production equipment to be monitored according to the acquisition configuration information.
Optionally, the acquisition configuration information includes at least one of the following information: acquisition interval, acquisition frequency, packet size.
Optionally, the industrial data includes: the analysis module is further used for analyzing the various types of index data according to a preset index association relation to determine abnormal indexes and abnormal production equipment with the abnormal indexes; wherein the index association relationship comprises: and the monitoring and analyzing result comprises indication information of the abnormal index and indication information of the abnormal production equipment.
Optionally, the apparatus further comprises:
the dividing module is used for carrying out early warning grade division according to the information of the abnormal indexes of the abnormal production equipment in a preset time period;
and the display module is used for carrying out early warning display on the abnormal production equipment by adopting the divided early warning grades.
In a third aspect, an embodiment of the present invention provides a server, including: a memory storing a computer program executable by the processor, and a processor implementing the method of any of the first aspects when executing the computer program.
In a fourth aspect, an embodiment of the present invention provides a storage medium, on which a computer program is stored, and when the computer program is read and executed, the computer program implements the method according to any one of the first aspect.
The invention has the beneficial effects that: the embodiment of the invention provides a device monitoring and analyzing method, which comprises the following steps: and acquiring industrial data of the production equipment to be monitored, which is acquired by various types of sensors, and analyzing the industrial data to obtain a monitoring and analyzing result of the production equipment to be monitored. When the server acquires the monitoring and analyzing results of the production equipment, the industrial data are acquired by the various sensors, the information included in the industrial data is more comprehensive, and the monitoring and analyzing results obtained by summarizing and analyzing the industrial data can comprehensively and accurately reflect the working state of the production equipment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of a monitoring system of a production facility according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for monitoring and analyzing equipment according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for monitoring and analyzing equipment according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a software architecture deployed by a server according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of a method for monitoring and analyzing equipment according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an apparatus monitoring and analyzing device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a server according to an embodiment of 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, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
The embodiment of the application provides a method for monitoring the working state of equipment, which can comprehensively process and analyze industrial data of production equipment to be monitored, which is acquired by various sensors, and the obtained monitoring and analyzing result can be accurate and comprehensive in the working state of the production equipment to be monitored.
Fig. 1 is a schematic structural diagram of a production equipment monitoring system according to an embodiment of the present invention, and as shown in fig. 1, the production equipment monitoring system includes: various types of sensors 101, at least one production device 102 to be monitored, a server 103.
Each production device 102 to be monitored can correspond to at least two types of sensors 101, each type of sensor 101 can acquire industrial data corresponding to the production device 102 to be monitored, each type of sensor 101 is in communication connection with the server 103, and the communication connection mode can be wireless communication connection or wired communication connection.
In addition, the sensor 101 may be a contact sensor or a contactless sensor. When the sensor 101 is a contact sensor, the sensor 101 acquires industrial data of the production equipment 102 to be monitored by contacting the production equipment 102 to be monitored; when the sensor 101 is a contactless sensor, the sensor 101 collects industrial data of the production equipment 102 to be monitored by being in contactless with the production equipment 102 to be monitored.
In practical applications, at least one of the production devices 102 to be monitored may be a device with different functions in the same production line, and the production of the product or the part may be completed by the cooperation or the pipeline operation between at least one of the production devices 102 to be monitored.
In some embodiments, the sensors 101 of multiple types may collect industrial data of the production device 102 to be monitored and send the industrial data to the server 103, and the server 103 may obtain the industrial data and analyze the industrial data to obtain a monitoring analysis result of the production device 102 to be monitored, where the monitoring analysis result is used to indicate an operating state of the production device 102 to be monitored.
In the embodiment of the present application, the server 103 may be a device having a data processing function, and on this basis, the server 103 may further have a display function, a playback function, and the like. When the server 103 in the embodiment of the present application is implemented, it may also be a terminal or other electronic devices with a data processing function, which is not limited in this application.
Fig. 2 is a schematic flow diagram of an apparatus monitoring and analyzing method according to an embodiment of the present invention, where the apparatus monitoring method according to an embodiment of the present invention may be applied to a server in the production apparatus monitoring system shown in fig. 1, where the server may also be referred to as a local server, and an IOT-HUB technology is deployed on the server, as shown in fig. 2, the method may include:
s201, acquiring industrial data of the production equipment to be monitored, which is acquired by various types of sensors.
The number of the production equipment to be monitored can be at least one, and when at least one production equipment to be monitored can be used for producing the same part or product, each production equipment to be monitored can correspond to multiple types of sensors, wherein each production equipment to be monitored can correspond to at least two types of sensors.
In some embodiments, for each production device to be monitored, the multiple types of sensors corresponding to the production device to be monitored may acquire industrial data of the production device to be monitored, and may send the industrial data of the production device to be monitored to the server, or another device capable of acquiring the industrial data of the production device to be monitored may also send the industrial data to the server, and accordingly, the server may acquire the industrial data of at least one production device to be monitored.
The sensors may be classified according to a communication protocol, and sensors having the same communication protocol may be classified into one type of sensor. That is, the communication protocols upon which the different types of sensors are based are different. In the multiple types of sensors, one sensor may acquire one parameter, and may also acquire multiple parameters at the same time, which is not specifically limited in the embodiment of the present application.
S202, analyzing the industrial data to obtain a monitoring and analyzing result of the production equipment to be monitored.
And the monitoring and analyzing result is used for indicating the working state of the production equipment to be monitored.
In a possible implementation manner, the server may analyze the industrial data corresponding to each to-be-monitored production device, the industrial data corresponding to each to-be-monitored production device may be divided into different parameters, and the server may analyze the different parameters in an independent or combined manner to obtain a monitoring analysis result.
It should be noted that the monitoring analysis result may represent the working state of the production equipment to be monitored, whether the production equipment to be monitored works normally, and the like in various forms such as a table, an image, characters, and the like, and the user may know the health condition of at least one production equipment according to the monitoring analysis result.
In practical application, the server may display the monitoring analysis result to the user, may also play part of the data in the detection analysis result to the user, and may also adopt other ways to make the user know the monitoring analysis result, which is not specifically limited in the embodiment of the present application.
In the embodiment of the application, the IOT-HUB may be deployed on the server in a plug-in manner (plug-in deployment), that is, one IOT-HUB may include multiple plug-ins, and one plug-in may convert industrial data collected by one type of sensor. The IOT-HUB is deployed in the server, so that the industrial data acquired by various sensors can be converted, and the industrial data after protocol conversion can be acquired at low cost.
In addition, IOT-HUBs may be deployed in clusters on the servers, and the number of IOT-HUBs may be at least one. When the number of IOT-HUBs is multiple, the IOT-HUBs can be classified and clustered according to the types of the plug-ins included in the IOT-HUBs, so that a large amount of industrial data can be transmitted simultaneously, the concurrency of the system is improved, the classification deployment and the classification collection are achieved, and the statistics and the collection are more convenient.
Moreover, the IOT-HUB can be deployed on a server, the IOT-HUB is adopted by the server to convert the industrial data protocol, and the industrial data after protocol conversion is analyzed to obtain a monitoring analysis result. Compared with a mode based on remote transmission of a cloud server, the whole process of the embodiment of the application is automatically realized through the server, so that the transmission rate, the safety and the accuracy can be improved, the acquisition of the monitoring analysis result is faster and more accurate, the use of space and flow bandwidth can be saved, and the cost can be reduced.
It should be noted that an IOT-HUB may be deployed on a server (local server), an IOT-HUB may also be deployed on a cloud server in communication connection with the server, and the IOT-HUB deployed on the server may perform protocol conversion on the industrial data to obtain the industrial data after the protocol conversion. Compared with the industrial data transmission, the industrial data after the protocol conversion is transmitted to the cloud server by the server, the transmission quantity is greatly reduced, and the transmission efficiency is improved.
In summary, an embodiment of the present invention provides an apparatus monitoring and analyzing method, including: and acquiring industrial data of the production equipment to be monitored, which is acquired by various types of sensors, and analyzing the industrial data to obtain a monitoring and analyzing result of the production equipment to be monitored. When the server acquires the monitoring and analyzing results of the production equipment, the industrial data are acquired by the various sensors, the information included in the industrial data is more comprehensive, and the monitoring and analyzing results obtained by summarizing and analyzing the industrial data can comprehensively and accurately reflect the working state of the production equipment.
Optionally, fig. 3 is a schematic flow chart of a device monitoring and analyzing method according to an embodiment of the present invention, as shown in fig. 3, before S201, the method may further include:
s301, performing protocol conversion on the industrial data acquired by the various types of sensors by adopting an IOT-HUB technology to obtain the industrial data after the protocol conversion, and sending the industrial data after the protocol conversion to a message queue.
The IOT-HUB is a full-hosting cloud service oriented to the field of the Internet of things, and safe bidirectional connection can be established between sending equipment and receiving equipment through mainstream Internet of things protocol communication, so that the Internet of things is quickly realized. In this embodiment, the sending device may be a sensor, and the receiving device may be a server. Fig. 4 is a schematic diagram of a software architecture deployed by a server according to an embodiment of the present invention, and as shown in fig. 4, an IOT-HUB may be deployed in the server, and the server communicates with multiple types of sensors through the IOT-HUB.
In some embodiments, the communication protocols based on the same type of sensor are the same, and the industrial data collected by the same type of sensor can be transmitted to the IOT-HUB of the server through the same communication channel, so that the IOT-HUB of the server can acquire the industrial data transmitted by different types of communication channels, that is, the industrial data of different communication protocols can be acquired. Correspondingly, the server can perform unified protocol conversion on the industrial data transmitted by the different types of communication channels to obtain the converted industrial data, and the communication protocols of the converted industrial data are consistent.
It should be noted that, for different production devices to be monitored, the industrial data collected by the same type of sensor corresponding to the different production devices to be monitored can also be transmitted through the same communication channel. For example, the sensor corresponding to the a device includes: a type sensor and a type b sensor; the sensor corresponding to the B equipment comprises: the type a sensor and the type c sensor, the type a sensor corresponding to the device a and the type a sensor corresponding to the device B can be transmitted by using the same communication channel.
In an embodiment of the present application, the IOT-HUB may support Kafka (Apache Kafka), an open source streaming platform-based message queue. kafka focuses on streaming data processing scenarios where real-time performance is relatively high. The server may send the converted industrial data obtained by the IOT-HUB to the message queue. When the server is in communication connection with other systems or devices, the other systems or devices can directly acquire the industrial data after the protocol conversion from the message queue without additional operations such as calling an interface and the like, and the other systems or devices are greatly convenient to acquire the industrial data after the protocol conversion.
After S301, the method may further include:
and sending the industrial data after the protocol conversion to the cloud server through the message queue so that the cloud server analyzes the industrial data after the protocol conversion to obtain a monitoring analysis result, and controlling the remote equipment to display the monitoring analysis result. The IOT-HUB technology is also deployed on the cloud server.
It should be noted that, because the IOT-HUB technology is deployed on the server, the server may perform protocol conversion on the industrial data to obtain the industrial data after the protocol conversion; compared with industrial data, the industrial data after protocol conversion has the advantages that the data volume is remarkably small, the transmission pressure between the server and the cloud server is greatly reduced, and the transmission rate is also improved.
Moreover, on one hand, the server can send the industrial data after the protocol conversion to the cloud server, so that the cloud server can analyze the industrial data after the protocol conversion to obtain a monitoring analysis result, and send the monitoring analysis result to the remote device, so that the remote device can display the monitoring analysis result. Wherein the remote device is communicatively coupled to the cloud server.
And on the other hand, the server can automatically analyze the industrial data after the protocol conversion to obtain a monitoring analysis result, and then automatically display the monitoring analysis result. Of course, the server may also be connected to a local device, and the server may control the local device to display the monitoring analysis result.
Of course, the server may also only obtain the monitoring analysis result by itself, or only send the protocol-converted industrial data to the cloud server, so that the cloud server performs analysis to obtain the monitoring analysis result, and may also perform setting according to actual requirements, which is not specifically limited in the embodiment of the present application.
The process of S202 may include:
and S302, analyzing the industrial data after the protocol conversion to obtain a monitoring analysis result.
In the embodiment of the present application, as shown in fig. 4, an open-source stream processing platform and an analysis processing platform may also be deployed in the server.
In some embodiments, the IOT-HUB of the server may send the industrial data after the protocol conversion to the analysis processing platform through the open-source stream processing platform, and the IOT-HUB of the server may also directly send the industrial data after the protocol conversion to the analysis processing platform, and accordingly, the analysis processing platform may analyze the industrial data after the protocol conversion to obtain the monitoring analysis result.
It should be noted that, when the industrial data after the protocol conversion is sent to the analysis processing platform through the open-source stream processing platform, the open-source stream processing platform may store the industrial data after the protocol conversion, and then the other devices may obtain the industrial data after the protocol conversion from the open-source stream processing platform of the server, so that the other devices can conveniently obtain the industrial data after the protocol conversion.
Optionally, the process of S201 may include: receiving industrial data sent by various types of sensors; or receiving industrial data sent by a plurality of hardware management systems of the production equipment to be monitored.
The industrial data sent by each hardware management system is as follows: and each hardware management system corresponds to the data collected by the type of sensor.
In this embodiment of the present application, the IOT-HUB of the server may communicate with various types of sensors, may also communicate with a plurality of hardware management systems, and may also communicate with other devices that can acquire the production equipment to be monitored, which is not specifically limited in this embodiment of the present application.
Wherein multiple types of sensors can send industrial data to a server, which can receive the industrial data.
In addition, different hardware management systems correspond to different types of sensors, one hardware management system can acquire industrial data acquired by the same type of sensor, the type of sensor can send the industrial data to the corresponding hardware management system, and the hardware management system can receive the industrial data.
In some embodiments, one hardware management system may send industrial data collected by one type of sensor to a server, and a plurality of hardware management systems may send industrial data collected by a plurality of types of sensors to the server, and accordingly, the server may receive industrial data collected by one type of sensor.
It should be noted that different hardware management systems may transmit the industrial data to the server through different communication channels. The hardware management system may be a terminal or a server capable of controlling the production equipment or acquiring data from the production equipment.
Optionally, the method may further include: acquiring acquisition configuration information of each type of sensor sent by a local terminal; the local terminal is in communication connection with the server; and issuing acquisition configuration information of each type of sensor.
The acquisition configuration information is used for enabling each type of sensor to acquire data of the production equipment to be monitored according to the acquisition configuration information.
In a possible implementation manner, the server may send the acquisition configuration information to at least one type of sensor among the plurality of types of sensors, and accordingly, the sensor may receive the acquisition configuration information and acquire the industrial data of the production equipment to be monitored according to the acquisition configuration information.
It should be noted that the acquisition configuration information sent by different sensors may be the same or different, and a user may also set the acquisition configuration information on a server according to actual needs, which is not specifically limited in the embodiment of the present application.
In addition, the acquisition configuration information is issued through the local terminal to control the sensor. Compared with cloud control, the acquisition configuration information is issued through the local terminal, so that the acquisition configuration information is issued more stably, safely and reliably. The use of space and traffic bandwidth can be saved, and the cost can be reduced.
Optionally, the collected configuration information includes at least one of the following information: acquisition interval, acquisition frequency, packet size. Wherein the acquisition interval may be an acquisition time interval of the sensor.
Optionally, the industrial data includes: a plurality of types of index data, each type of index data being data collected by one type of sensor.
The process of S202 may include: and analyzing the various types of index data according to a preset index association relation to determine abnormal indexes and abnormal production equipment with the abnormal indexes.
The index association relationship comprises: and the monitoring and analyzing result comprises indication information of abnormal indexes and indication information of abnormal production equipment. The server of the embodiment of the application can have the functions of data storage, analysis, aggregation, analysis and early warning.
In some embodiments, each type of metric data may include metric data corresponding to a plurality of metrics, for example, the plurality of metrics may include: amplitude, temperature, current, velocity, acceleration, etc. The server can perform single analysis or combined analysis on the index data corresponding to the multiple indexes in the multiple types of index data according to a preset index association relation, and determine abnormal indexes and abnormal production equipment with the abnormal indexes.
It should be noted that the industrial data acquired by the various types of sensors acquired by the server may include identification information of the production equipment to be monitored, and therefore, the industrial data may be divided into corresponding industrial data of different production equipment.
Each index can have a corresponding preset threshold, and for an index which can be analyzed separately, the server can judge whether data corresponding to the index is larger than the corresponding preset threshold, if so, the server can determine that the index is abnormal, and determine that the production equipment to be monitored corresponding to the index is abnormal production equipment.
In addition, the server may determine a plurality of indexes that need to be subjected to combined analysis according to a preset index association relationship, and if data corresponding to each index in the plurality of indexes subjected to combined analysis is greater than a corresponding preset threshold, the server may determine that the plurality of indexes are abnormal, and determine that the production equipment to be monitored corresponding to the plurality of indexes is abnormal production equipment.
In the embodiment of the application, the server can display the abnormal index and the abnormal production equipment with the abnormal index to the user, can play the abnormal index and the abnormal production equipment with the abnormal index, and can enable the user to know the abnormal index and the abnormal equipment in other modes, so that the user can intervene and process the abnormal equipment in time.
Optionally, fig. 5 is a schematic flow chart of a device monitoring and analyzing method provided in the embodiment of the present invention, and as shown in fig. 5, the method may further include:
s501, early warning grade division is carried out according to the information of the abnormal indexes of the abnormal production equipment in the preset time period.
The server can count the abnormal index information in a preset time period to obtain statistical information, and then early warning grade division is carried out according to the statistical information and a preset grade division rule.
In a possible implementation manner, the server may count the abnormal times of the abnormal index in a preset time period of the abnormal production equipment, perform early warning grade division according to the abnormal times and a preset grade division rule, and indicate that the abnormal degrees of the production equipment are different at different early warning grades.
For example, the preset ranking rule may include: when the abnormal times are more than or equal to m times, the first-stage early warning is performed, when the abnormal times are more than n times, the second-stage early warning is performed when the abnormal times are less than m times, and when the abnormal times are less than or equal to n times, the third-stage early warning is performed. The abnormal times counted by the server can be x, and if the server judges that x is larger than m, the server can determine the early warning level as first-level early warning.
In another possible implementation manner, the server may count the duration of the abnormal index of the abnormal production device within a preset time period, perform early warning level division according to the duration and a preset level division rule, and indicate that the abnormal degrees of the production device are different at different early warning levels.
For example, the preset ranking rule may include: if the duration is greater than or equal to q hours, the early warning grade is first-stage early warning, and if the duration is less than q hours, the early warning grade is second-stage early warning. The abnormal time counted by the server can be p hours, and if the server judges that p is less than q, the server can determine the early warning level as secondary early warning.
And S502, performing early warning display on abnormal production equipment by adopting the divided early warning grades.
In the embodiment of the application, the server can perform early warning display on the abnormal production equipment, the abnormal index corresponding to the abnormal equipment and the early warning level corresponding to the abnormal index so as to prompt the abnormal index and the abnormal degree of the abnormal production equipment to a user, so that the user can intervene and process the abnormal production equipment in time.
It should be noted that, for different early warning levels, different colors can be adopted to display the abnormal production equipment, so that a user can more intuitively know the abnormal degree of the abnormal equipment. For example, the higher the early warning level, the darker the corresponding display color; the lower the early warning level, the lighter the corresponding display color.
In the embodiment of the application, the early warning display can help a user to comprehensively and accurately evaluate the working condition of important equipment, assist the user in evaluating the real-time performance of production equipment, provide data support for maintenance of the production equipment of the user, improve the operation and maintenance efficiency of the production equipment, effectively reduce unplanned shutdown of the production equipment, reduce capacity loss caused by shutdown, prolong the service life of the production equipment, realize the full life cycle health management of the production equipment, and obviously improve economic benefits.
Optionally, the industrial data is data collected in a historical time period, and the method may further include:
according to a preset statistical mode corresponding to each index, performing statistics on index data corresponding to each index to obtain first statistical information; and counting the index data corresponding to the indexes with the association relation according to a preset index association relation to obtain second statistical information, and generating a diagnosis report according to the first statistical information and the second statistical information.
The preset statistical mode may be a table statistical mode or a graph statistical mode, and the graph statistical mode may be at least one of the following statistical modes: the trend graph, the spectrogram, the oscillogram, and the trace graph, the first statistical information may include: tabular statistics and/or graphical statistics.
In the embodiment of the application, for the industrial data of each production device to be monitored, the server can determine a statistical mode corresponding to each index in the industrial data, and perform statistics on the index data corresponding to each index according to the statistical mode to obtain first statistical information; and determining a plurality of indexes of the incidence relation, and performing comprehensive statistics on index data corresponding to the plurality of indexes in a form of a table to obtain second statistical information. And analyzing the first statistical information and the second statistical information to obtain an analysis result, and generating a diagnosis report according to the first statistical information, the second statistical information and the analysis result.
It should be noted that the diagnosis report can be visually displayed to the user in the form of characters, images, and tables, and the trend information of the index data corresponding to each index in the historical time period, and the early warning prompt information corresponding to each index.
The equipment monitoring and analyzing method provided by the embodiment of the application can acquire industrial data acquired by various types of sensors, sets different types of sensors according to different characteristics of different production equipment, is suitable for multiple production industries, supports access of various types of sensors, realizes wireless acquisition and transmission of production equipment data, and displays state information of various production equipment in time, so that the production process is more transparent. The equipment monitoring and analyzing method provided by the embodiment of the application has the characteristics of safety, reliability and stability, can master industrial data of production equipment in real time, records faults of the production equipment in real time, has high reliability and high anti-interference performance, indicates the abnormal working state of the production equipment through early warning and alarming, timely informs related personnel to solve the problem of abnormal working of the equipment, and effectively improves the production efficiency.
For specific implementation processes and technical effects, reference is made to relevant contents of the above parking area risk identification method, and details are not described below.
Fig. 6 is a schematic structural diagram of an apparatus monitoring and analyzing apparatus according to an embodiment of the present invention, where the apparatus monitoring and analyzing apparatus according to the embodiment of the present invention is applied to a server, and an IOT-HUB technology is deployed on the server, as shown in fig. 6, the apparatus includes:
the acquisition module 601 is used for acquiring industrial data of the production equipment to be monitored, which are acquired by various types of sensors;
the analysis module 602 is configured to analyze the industrial data to obtain a monitoring analysis result of the production device to be monitored, where the monitoring analysis result is used to indicate a working state of the production device to be monitored.
The conversion module 603 is configured to perform protocol conversion on industrial data acquired by multiple types of sensors by using an IOT-HUB technology to obtain industrial data after the protocol conversion, and send the industrial data after the protocol conversion to a message queue; the communication protocols of the industrial data after the protocol conversion are consistent; the method comprises the steps that the industrial data after protocol conversion are sent to a cloud server through a message queue, so that the cloud server analyzes the industrial data after protocol conversion to obtain a monitoring analysis result, remote equipment is controlled to display the monitoring analysis result, and an IOT-HUB technology is also deployed on the cloud server.
The analysis module 602 is further configured to analyze the industrial data after the protocol conversion to obtain a monitoring analysis result;
the acquisition module 601 is further configured to receive industrial data sent by multiple types of sensors; or receiving industrial data sent by a plurality of hardware management systems of the production equipment to be monitored, wherein the industrial data sent by each hardware management system is as follows: and each hardware management system corresponds to the data collected by the type of sensor.
Optionally, the apparatus further comprises:
the issuing module is used for acquiring acquisition configuration information of each type of sensor sent by the local terminal; the local terminal is in communication connection with the server; and issuing acquisition configuration information of each type of sensor, wherein the acquisition configuration information is used for acquiring data of the production equipment to be monitored by each type of sensor according to the acquisition configuration information.
Optionally, the collected configuration information includes at least one of the following information: acquisition interval, acquisition frequency, packet size.
Optionally, the industrial data comprises: the analysis module 602 is further configured to analyze the multiple types of index data according to a preset index association relationship, and determine an abnormal index and abnormal production equipment with the abnormal index; the index association relationship comprises: and the monitoring and analyzing result comprises indication information of abnormal indexes and indication information of abnormal production equipment.
Optionally, the apparatus further comprises:
the dividing module is used for carrying out early warning grade division according to the information of the abnormal indexes of the abnormal production equipment in a preset time period;
and the display module is used for carrying out early warning display on the abnormal production equipment by adopting the divided early warning grades.
The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 7 is a schematic structural diagram of a server according to an embodiment of the present invention, where the server may be a computing device with a data processing function.
As shown in fig. 7, the server may include: a processor 701, a memory 702.
The memory 702 is used for storing programs, and the processor 701 calls the programs stored in the memory 702 to execute the method embodiments of fig. 2, 3 and 5. The specific implementation and technical effects are similar, and are not described herein again.
Optionally, the present invention also provides a program product, such as a computer readable storage medium, comprising a program which, when executed by a processor, is adapted to perform the above-described method embodiments of fig. 2, 3 and 5.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Claims (8)
1. An equipment monitoring and analyzing method is applied to a server, an IOT-HUB technology is deployed on the server, and the method comprises the following steps:
acquiring industrial data of production equipment to be monitored, which is acquired by various types of sensors, wherein the communication protocols based on different types of sensors are different;
analyzing the industrial data to obtain a monitoring analysis result of the production equipment to be monitored, wherein the monitoring analysis result is used for indicating the working state of the production equipment to be monitored;
before analyzing the industrial data to obtain a monitoring and analyzing result of the production equipment to be monitored, the method further comprises:
performing protocol conversion on the industrial data acquired by the various types of sensors by adopting the IOT-HUB technology to obtain industrial data after protocol conversion, and sending the industrial data after protocol conversion to a message queue; the communication protocols of the industrial data after the protocol conversion are consistent;
sending the protocol-converted industrial data to a cloud server through the message queue, so that the cloud server analyzes the protocol-converted industrial data to obtain a monitoring analysis result, and controls a remote device to display the monitoring analysis result, wherein the IOT-HUB technology is also deployed on the cloud server;
the analyzing the industrial data to obtain the monitoring and analyzing result of the production equipment to be monitored comprises the following steps:
analyzing the industrial data after protocol conversion to obtain the monitoring analysis result;
the method for acquiring the industrial data of the production equipment to be monitored, which is acquired by the various types of sensors, comprises the following steps:
receiving the industrial data sent by the multiple types of sensors; alternatively, the first and second electrodes may be,
receiving the industrial data sent by a plurality of hardware management systems of the production equipment to be monitored, wherein the industrial data sent by each hardware management system is as follows: and each hardware management system corresponds to the data collected by the type of sensor.
2. The device monitoring analysis method of claim 1, further comprising:
acquiring acquisition configuration information of each type of sensor sent by a local terminal; the local terminal is in communication connection with the server;
and issuing the acquisition configuration information of each type of sensor, wherein the acquisition configuration information is used for enabling each type of sensor to acquire data of the production equipment to be monitored according to the acquisition configuration information.
3. The device monitoring and analysis method of claim 2, wherein the collection configuration information comprises at least one of: acquisition interval, acquisition frequency, packet size.
4. The equipment monitoring analysis method of claim 1, wherein the industrial data comprises: the method includes the steps that a plurality of types of index data are acquired by one type of sensor, the industrial data are analyzed, a monitoring analysis result of the production equipment to be monitored is obtained, and the monitoring analysis result is used for indicating the working state of the production equipment to be monitored and includes the following steps:
analyzing the various types of index data according to a preset index association relation, and determining abnormal indexes and abnormal production equipment with the abnormal indexes; wherein the index association relationship comprises: and the monitoring and analyzing result comprises indication information of the abnormal index and indication information of the abnormal production equipment.
5. The device monitoring analysis method of claim 4, further comprising:
carrying out early warning grade division according to the information of the abnormal indexes of the abnormal production equipment in a preset time period;
and adopting the divided early warning grades to carry out early warning display on the abnormal production equipment.
6. The device for monitoring and analyzing equipment is applied to a server, an object access IOT-HUB technology is deployed on the server, and the device comprises:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for acquiring industrial data of the production equipment to be monitored, which is acquired by various types of sensors, and the communication protocols on which the sensors of different types are based are different;
the analysis module is used for analyzing the industrial data to obtain a monitoring analysis result of the production equipment to be monitored, and the monitoring analysis result is used for indicating the working state of the production equipment to be monitored;
the conversion module is used for carrying out protocol conversion on the industrial data acquired by the various types of sensors by adopting the IOT-HUB technology to obtain the industrial data after the protocol conversion, and sending the industrial data after the protocol conversion to a message queue; the communication protocols of the industrial data after the protocol conversion are consistent; sending the protocol-converted industrial data to a cloud server through the message queue, so that the cloud server analyzes the protocol-converted industrial data to obtain a monitoring analysis result, and controls a remote device to display the monitoring analysis result, wherein the IOT-HUB technology is also deployed on the cloud server;
the analysis module is further configured to analyze the industrial data after the protocol conversion to obtain the monitoring analysis result;
the acquisition module is further used for receiving the industrial data sent by the various types of sensors; or, receiving the industrial data sent by a plurality of hardware management systems of the production equipment to be monitored, wherein the industrial data sent by each hardware management system is: and each hardware management system corresponds to the data collected by the type of sensor.
7. A server, comprising: a memory storing a computer program executable by the processor and a processor implementing the method of any one of claims 1 to 5 when the computer program is executed by the processor.
8. A storage medium having stored thereon a computer program which, when read and executed, implements the method of any one of claims 1 to 5.
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