CN114879617A - Equipment state monitoring method, device, equipment and computer storage medium - Google Patents
Equipment state monitoring method, device, equipment and computer storage medium Download PDFInfo
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Abstract
The application discloses a method, a device and equipment for monitoring equipment states and a computer storage medium. The method includes the steps that signals generated when equipment to be monitored operates at different moments are collected through various sensors of different types, and the signals and field process parameter information can be stored in a server as operation indexes. And determining the running state of the equipment to be monitored in the first time period according to the change trend of each running index and the running index threshold value of the equipment to be monitored in each running index. Therefore, the current operation state of the equipment is monitored in real time according to the plurality of operation indexes corresponding to the operation of the equipment to be monitored at the plurality of different moments in the first time period. Therefore, a large amount of manpower and material resources consumed by timing point inspection are reduced, and the maintenance cost is reduced.
Description
Technical Field
The application belongs to the field of industry, and particularly relates to an equipment state monitoring method.
Background
In the industrial industries including metallurgy and the like, equipment is complex, a large amount of equipment operation reference data can be generated in the production process, in recent years, the development of big data is changed day by day, and the big data has outstanding advantages in the data processing and analyzing process, so that the intelligent level of the industrial industries including metallurgy and the like can be improved by applying the big data in the industrial industries including metallurgy and the like.
In the industrial industries such as metallurgy and the like, various losses exist in key running equipment at any time, in order to monitor the state of the equipment in real time, daily point inspection is carried out according to equipment running reference data, which is an indispensable step in the equipment maintenance process, but the point inspection at regular time has no definite directionality, and a large amount of manpower and material resources are consumed, while the traditional detection technologies such as vibration, temperature and the like are singly used, so that the accuracy of monitoring the running state is low.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a computer storage medium for monitoring equipment states, which can monitor the current running state of equipment to be monitored in real time according to digital signals and field process parameter information corresponding to various sensors of different types.
In a first aspect, an embodiment of the present application provides an apparatus status monitoring method, where the method includes:
the method comprises the steps that a plurality of operation indexes corresponding to operation of equipment to be monitored at a plurality of different moments in a first time period are obtained from a server, and the operation indexes comprise digital signals corresponding to sensors of various types and field process parameter information;
for each operation index, determining the operation index change trend of the equipment to be monitored according to the operation indexes at a plurality of different moments in a first time period;
determining the running state of the equipment to be monitored in a first time period according to the change trend of each running index and the running index threshold value of the equipment to be monitored in each running index;
the operation index threshold is an operation index threshold determined by the operation state of the device to be monitored after the device to be monitored operates for the second time period.
In one embodiment, after the above-mentioned determining the operation state of the device to be monitored in the first time period, the method may further include:
and updating the operation index threshold value of the equipment to be monitored at each operation index according to the operation state of the equipment to be monitored in the first time period and a plurality of operation indexes corresponding to the operation of the equipment to be monitored at a plurality of different moments in the first time period.
In one embodiment, after determining the operation index variation trend of the device to be monitored, the method may further include:
the variation trend of different operation indexes of the equipment to be monitored is displayed in a form of a chart.
In one embodiment, the sensor digital signals referred to above may specifically include at least temperature information, vibration signals, and ultrasonic signals.
In a second aspect, an embodiment of the present application provides an apparatus for monitoring a device status, where the apparatus includes:
the system comprises an acquisition module, a monitoring module and a processing module, wherein the acquisition module is used for acquiring a plurality of operation indexes corresponding to the operation of equipment to be monitored at a plurality of different moments in a first time period from a server, and the plurality of operation indexes comprise digital signals corresponding to a plurality of different types of sensors and field process parameter information;
the first determining module is used for determining the operation index change trend of the equipment to be monitored according to the operation indexes at a plurality of different moments in a first time period aiming at each operation index;
the second determining module is used for determining the running state of the equipment to be monitored in the first time period according to the change trend of each running index and the running index threshold value of the equipment to be monitored in each running index;
the operation index threshold is an operation index threshold determined by the operation state of the device to be monitored after the device to be monitored operates for the second time period.
In a third aspect, an embodiment of the present application provides an apparatus status monitoring system, where the system includes:
the system comprises a plurality of sensors of different types, a server and a monitoring server, wherein the sensors of different types are arranged on key components of equipment to be monitored and used for acquiring signals generated when the equipment to be monitored runs and transmitting the signals to the server;
the server is used for storing a plurality of operation indexes corresponding to the operation of the equipment to be monitored at a plurality of different moments in a first time period;
a processor configured to implement the device status monitoring method shown in any one of the embodiments of the first aspect.
In a fourth aspect, an embodiment of the present application provides an electronic device, where the device includes:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the device status monitoring method as shown in any embodiment in the first aspect.
In a fifth aspect, the present application provides a computer storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the device status monitoring method shown in any one of the embodiments in the first aspect.
In a sixth aspect, the present application further provides a computer program product, where the computer program product includes a computer program, where the computer program is stored in a readable storage medium, and at least one processor of a device reads and executes the computer program from the storage medium, so that the device executes the device status monitoring method shown in any one of the embodiments in the first aspect.
Compared with the prior art, the equipment state monitoring method, the equipment state monitoring device, the equipment and the computer storage medium have the following beneficial effects:
in the equipment state monitoring method provided by the embodiment of the application, sensors of various types are installed on equipment to be monitored, signals generated when the equipment to be monitored operates at different moments are collected through the sensors of various types, and the signals and field process parameter information can be stored in a server as operation indexes. According to the method and the device for monitoring the operation state of the equipment to be monitored in the first time period, after the operation indexes corresponding to the operation of the equipment to be monitored in the first time period at different moments are obtained from the server, the operation index change trend of the equipment to be monitored is determined according to each operation index, and finally the operation state of the equipment to be monitored in the first time period is determined according to the change trend of each operation index and the operation index threshold of the equipment to be monitored in each operation index.
Therefore, when the running state of the equipment to be monitored is determined, a plurality of running indexes of the equipment are considered, and compared with the technology of detecting a single index, the accuracy of monitoring the equipment state is improved. In addition, when the equipment state is determined, the equipment state is determined according to the operation index variation trend of the equipment within a period of time and the operation index threshold determined according to the operation state within a period of time, and the variation trend within a period of time can eliminate abnormal conditions of individual time points, so that the equipment state monitoring accuracy is improved.
In addition, the embodiment of the application obtains a plurality of operation indexes corresponding to the equipment to be monitored in operation at a plurality of different moments in a first time period through signals generated in real time during the operation of the equipment, so that the current operation state of the equipment is monitored in real time. Therefore, a large amount of manpower and material resources consumed by timing point inspection are reduced, and the maintenance cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic architecture diagram of a device status monitoring system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a device status monitoring method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a device status monitoring method according to another embodiment of the present application;
fig. 4 is a schematic flowchart of a device status monitoring method according to another embodiment of the present application;
fig. 5 is a schematic structural diagram of an apparatus state monitoring device according to an embodiment of the present application;
fig. 6 is a schematic hardware structure diagram of an electronic device according to another embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises an element does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
With the development of big data, the big data is combined with the traditional equipment monitoring means, the maintenance cost of enterprises is reduced, and the intelligent level of the industrial industries such as metallurgy and the like is improved.
Based on the background technology, it can be known that in the industrial industries such as metallurgy, various losses exist in all the running key equipment at all times, the equipment state needs to be monitored in real time, the timing point inspection has no definite directivity and consumes a large amount of manpower and material resources, and the accuracy of monitoring the running state is low by adopting a single traditional detection technology.
In order to solve the problem of the prior art, in the device state monitoring method provided by the embodiment of the application, a plurality of different types of sensors are installed on a device to be monitored, signals generated when the device to be monitored operates at different moments are collected through the plurality of different types of sensors, and the signals and field process parameter information can be stored in a server as operation indexes. According to the method and the device for monitoring the operation state of the equipment to be monitored in the first time period, after the operation indexes corresponding to the operation of the equipment to be monitored in the first time period at different moments are obtained from the server, the operation index change trend of the equipment to be monitored is determined according to each operation index, and finally the operation state of the equipment to be monitored in the first time period is determined according to the change trend of each operation index and the operation index threshold of the equipment to be monitored in each operation index.
Therefore, when the running state of the equipment to be monitored is determined, a plurality of running indexes of the equipment are considered, and compared with the technology of detecting a single index, the accuracy of monitoring the equipment state is improved. In addition, when the equipment state is determined, the equipment state is determined according to the operation index variation trend of the equipment within a period of time and the operation index threshold determined according to the operation state within a period of time, and the variation trend within a period of time can eliminate abnormal conditions of individual time points, so that the equipment state monitoring accuracy is improved.
In addition, the embodiment of the application obtains a plurality of operation indexes corresponding to the equipment to be monitored in operation at a plurality of different moments in a first time period through signals generated in real time during the operation of the equipment, so that the current operation state of the equipment is monitored in real time. Therefore, a large amount of manpower and material resources consumed by timing point inspection are reduced, and the maintenance cost is reduced.
First, a device status monitoring system provided in an embodiment of the present application will be described below.
Fig. 1 shows an architecture diagram of a device status monitoring system 100 provided in an embodiment of the present application. As shown in fig. 1, the device status monitoring system may include: a plurality of different types of sensors 101, a server 102, and a processor 103.
The system comprises a plurality of different types of sensors 101, a server and a monitoring server, wherein the sensors 101 are arranged on key components of equipment to be monitored and used for acquiring signals generated when the equipment to be monitored runs and transmitting the signals to the server;
the server 102 is configured to store a plurality of operation indexes corresponding to operation of the device to be monitored at a plurality of different times within a first time period;
the processor 103 is configured to obtain, from the server, a plurality of operation indexes corresponding to the device to be monitored during operation at a plurality of different times within a first time period, where the plurality of operation indexes include digital signals corresponding to a plurality of different types of sensors and field process parameter information; for each operation index, determining the operation index change trend of the equipment to be monitored according to the operation indexes at a plurality of different moments in a first time period; determining the running state of the equipment to be monitored in a first time period according to the change trend of each running index and the running index threshold value of the equipment to be monitored in each running index; the operation index threshold is an operation index threshold determined by the operation state of the device to be monitored after the device to be monitored operates for the second time period.
As an example, a plurality of different types of sensors 101 may be mounted on different parts of the device to be monitored, for example, main parts of the device, such as bearings, gears, etc. The plurality of different types of sensors 101 may include a temperature sensor, a vibration sensor, and an ultrasonic sensor, and the vibration sensor and the temperature sensor may collect a vibration value and a temperature value of the operation of the device, and the ultrasonic sensor may collect an ultrasonic signal generated by the operation of the internal parts of the device, such as the bearing. Accordingly, the digital signals corresponding to the plurality of different types of sensors include at least temperature information, vibration signals, and ultrasonic signals. The various sensors of different types transmit the acquired various signals to the server. Therefore, the sensors of various different types are adopted to collect various signals generated when the equipment to be monitored operates, analysis and comparison can be performed according to various data, and comprehensiveness and accuracy of equipment state analysis are improved.
As an example, the server 102 may be disposed in a remote scene and/or a cloud, and may be configured to receive multiple signals collected by multiple different types of sensors, and perform analog-to-digital conversion on the multiple signals to obtain corresponding digital signals.
In addition, the server can be in communication connection with the on-site process system and can receive real-time on-site process parameter information of the equipment to be monitored from the on-site process system.
The server can store the digital signals and the field process parameter information corresponding to different types of sensors of different equipment in a classified manner.
For example, the sensor types include a temperature sensor, a vibration sensor and an ultrasonic sensor, and the server stores temperature signals, vibration signals, ultrasonic signals and process parameters acquired by the sensors and corresponding to the same equipment operating at different moments in a classified manner, so that four different types of operation indexes of one equipment can be obtained.
As an example, the processor 103 may be disposed in a remote scene and/or a cloud, and may be configured to determine, for each operation index, an operation index variation trend of the device to be monitored after acquiring, from the server, a plurality of operation indexes corresponding to the device to be monitored during operation at a plurality of different times in a first time period, and finally determine an operation state of the device to be monitored during the first time period according to the variation trend of each operation index and an operation index threshold of the device to be monitored during operation of each operation index.
In the equipment state monitoring system provided by the embodiment of the application, the sensors of various different types are installed on the equipment to be monitored, the signals generated when the equipment to be monitored operates at different moments are collected through the sensors of various different types, and the signals and field process parameter information can be stored into the server as operation indexes. According to the method and the device for monitoring the operation state of the equipment to be monitored in the first time period, after the operation indexes corresponding to the operation of the equipment to be monitored in the first time period at different moments are obtained from the server, the operation index change trend of the equipment to be monitored is determined according to each operation index, and finally the operation state of the equipment to be monitored in the first time period is determined according to the change trend of each operation index and the operation index threshold of the equipment to be monitored in each operation index.
Therefore, when the running state of the equipment to be monitored is determined, a plurality of running indexes of the equipment are considered, and compared with the technology of detecting a single index, the accuracy of monitoring the equipment state is improved. In addition, when the equipment state is determined, the equipment state is determined according to the operation index variation trend of the equipment within a period of time and the operation index threshold determined according to the operation state within a period of time, and the variation trend within a period of time can eliminate abnormal conditions of individual time points, so that the equipment state monitoring accuracy is improved.
In addition, the embodiment of the application obtains a plurality of operation indexes corresponding to the equipment to be monitored in operation at a plurality of different moments in a first time period through signals generated in real time during the operation of the equipment, so that the current operation state of the equipment is monitored in real time. Therefore, a large amount of manpower and material resources consumed by timing point inspection are reduced, and the maintenance cost is reduced.
Based on the equipment state monitoring system provided in the above embodiment, the present application also provides an equipment state monitoring method. Note that the main body of the method for executing the actions is a processor on the system.
Fig. 2 is a schematic flowchart of a device status monitoring method according to an embodiment of the present application. As shown in fig. 2, an apparatus status monitoring method provided in an embodiment of the present application includes the following steps:
s201: the method comprises the steps that a plurality of operation indexes corresponding to operation of equipment to be monitored at a plurality of different moments in a first time period are obtained from a server, and the operation indexes comprise digital signals corresponding to sensors of various types and field process parameter information;
s202: for each operation index, determining the operation index change trend of the equipment to be monitored according to the operation indexes at a plurality of different moments in a first time period;
s203: determining the running state of the equipment to be monitored in a first time period according to the change trend of each running index and the running index threshold value of the equipment to be monitored in each running index; the operation index threshold is an operation index threshold determined by the operation state of the device to be monitored after the device to be monitored operates for the second time period.
The above is a method for monitoring a device state provided in the embodiment of the present application. In the equipment state monitoring method provided by the embodiment of the application, the sensors of various types are installed on the equipment to be monitored, the signals generated when the equipment to be monitored operates at different moments are collected by the sensors of various types, and the signals and the field process parameter information can be stored in the server as operation indexes. According to the method and the device for monitoring the operation state of the equipment to be monitored in the first time period, after the operation indexes corresponding to the operation of the equipment to be monitored in the first time period at different moments are obtained from the server, the operation index change trend of the equipment to be monitored is determined according to each operation index, and finally the operation state of the equipment to be monitored in the first time period is determined according to the change trend of each operation index and the operation index threshold of the equipment to be monitored in each operation index.
Therefore, when the running state of the equipment to be monitored is determined, a plurality of running indexes of the equipment are considered, and compared with the single index detection technology, the accuracy of equipment state monitoring is improved. In addition, when the equipment state is determined, the equipment state is determined according to the operation index variation trend of the equipment within a period of time and the operation index threshold determined according to the operation state within a period of time, and the variation trend within a period of time can eliminate abnormal conditions of individual time points, so that the equipment state monitoring accuracy is improved.
In addition, the embodiment of the application obtains a plurality of running indexes corresponding to the equipment to be monitored in running at a plurality of different moments in a first time period through signals generated in the running process of the equipment collected in real time, so that the current running state of the equipment is monitored in real time. Therefore, a large amount of manpower and material resources consumed by timing point inspection are reduced, and the maintenance cost is reduced.
In S201, a communication connection is established between a processor and a server, the processor obtains, from the server, a plurality of operation indexes corresponding to the to-be-monitored device during operation at a plurality of different times within a first time period, in an example, the processor may further display an interface having a plurality of identifiers of the to-be-monitored device and/or an input box for a user to input the identifier of the to-be-monitored device, the user may select a required identifier of the to-be-monitored device in the interface and/or input the identifier of the to-be-monitored device in the input box, and after detecting an operation of the user, the processor obtains, from the server, a plurality of operation indexes corresponding to the to-be-monitored device during operation at the plurality of different times corresponding to the identifier of the to-be-monitored device in response to the operation.
For example, the user selects and/or inputs an identifier a of the device to be monitored, and the processor obtains a plurality of operation indexes corresponding to the device a at a plurality of different times of operation from the server.
In S202, the first time period may be any period of time within thirty days to one hundred and eighty days of operation of the device to be monitored. And the processor performs data integration on each item of data in each operation index according to the operation index data of each operation index at a plurality of different moments in the first time period, and forms the operation index change trend of the equipment to be monitored according to time. It should be noted that, one operation index data is subjected to data integration to obtain a corresponding operation index variation trend.
For example, the processor performs data integration according to temperature information data of the device a within the fortieth day of operation, and forms an operation index change trend corresponding to the temperature information of the device to be monitored according to the temperature information data corresponding to each moment; and data integration can be carried out according to vibration information data of the equipment A within the fortieth day of operation, and an operation index change trend corresponding to the vibration information of the equipment to be monitored is formed according to the vibration information data corresponding to each moment.
In S203, the second time period may be any time period within thirty days to one hundred and eighty days of the operation of the device to be monitored. In one example, the threshold is determined by the processor based on an operating state of the device to be monitored after operating for the second period of time. For example, when the operation state of the device to be monitored is normal in the thirty th to forty th days, the operation index threshold value corresponding to the ultrasonic signal is X according to the operation index and the change trend corresponding to the ultrasonic signal of the device to be monitored in the thirty th to forty th days, and it should be noted that both the operation index and the change trend corresponding to the ultrasonic signal in the above time period are lower than the operation index threshold value X. Similarly, the corresponding operation index threshold may be determined according to other operation indexes and the variation trend in the time period.
In one example, the processor determines the operation state of the device to be monitored in the first time period according to the variation trend of each operation index and the operation index threshold value of the device to be monitored in each operation index. It should be noted that, because it is necessary to ensure the comprehensiveness and accuracy of monitoring the state of the equipment and reduce the false alarm rate of the state of the equipment, the operating state of the equipment needs to be obtained according to the variation trend of a plurality of operating indexes and the comparison result of the threshold values of the corresponding operating indexes. For example, the processor obtains the change trends of the ultrasonic signal, the temperature information and the vibration signal of the equipment to be monitored in the fifty th to sixty th days of operation and the corresponding operation index thresholds thereof, and determines that the operation state of the equipment to be monitored is healthy when the change trends of the ultrasonic signal, the temperature information and the vibration signal are always lower than the corresponding operation index thresholds; when the change trends of the ultrasonic signals and the vibration signals are always lower than the corresponding operation index threshold values, but the change trend of the temperature information is higher than the operation index threshold values, determining that the operation state of the equipment to be monitored is abnormal; and when the change trends of the ultrasonic signals, the temperature information and the vibration signals are higher than the corresponding operation index threshold values, determining that the operation state of the equipment to be monitored is seriously abnormal.
In one example, the processor correspondingly displays different colors on the provided interface according to the running state of the device to be monitored, for example, green represents that the running state of the device is normal, yellow represents that the running state of the device is abnormal, and red represents that the running state of the device is seriously abnormal.
With the continuous operation of the equipment to be monitored, some operation indexes of the equipment may change due to equipment abrasion and other environmental factors, so that the accuracy of the operation index threshold value of the equipment to be monitored at each operation index is improved and the false alarm rate of the equipment is reduced according to a plurality of operation indexes of the equipment to be monitored at a plurality of different moments.
As shown in fig. 3, on the basis of the above embodiment, after S203, the following steps may be further included:
s301: and updating the operation index threshold value of the equipment to be monitored at each operation index according to the operation state of the equipment to be monitored in the first time period and a plurality of operation indexes corresponding to the operation of the equipment to be monitored at a plurality of different moments in the first time period.
In the method for monitoring the equipment state provided by the embodiment of the application, the processor updates the operation index threshold value of the monitoring equipment at each operation index according to the operation state of the equipment to be monitored in the first time period and a plurality of operation indexes corresponding to the operation of the equipment to be monitored at a plurality of different moments in the first time period, so that along with the increase of operation index data, the operation index threshold value of the equipment to be monitored can judge the equipment state more accurately and reasonably, and the false alarm rate is reduced.
In S301, an operation index threshold of each operation index of the device to be monitored is updated according to an operation state of the device to be monitored in a first time period and a plurality of operation indexes corresponding to operations at a plurality of different times.
For example, in the seventy days to eighty days of the operation of the device to be monitored, when the operation state of the device is normal and the variation trend of the ultrasonic signal and the vibration signal is always lower than the corresponding operation index threshold, the original temperature information operation index threshold is Z, but a value M higher than the original temperature information operation index threshold Z exists in the temperature information operation index trend in the time period.
The embodiment of the application also provides another implementation mode of the equipment state monitoring method, in order to more intuitively represent the variation trend of a plurality of different operation indexes of the equipment to be monitored and improve the efficiency of monitoring the state of the equipment to be monitored in real time, because the equipment to be monitored operates at a plurality of times and corresponds to a plurality of operation indexes with a plurality of data, the comparison and analysis of the state to be monitored by a user according to the data are not easy, and the method can be used for monitoring the state of the equipment to be monitored in real time.
As shown in fig. 4, on the basis of the above embodiment, between S202 and S203, the following steps may be further included:
s401: the variation trend of different operation indexes of the equipment to be monitored is displayed in a form of a chart.
In the method for monitoring the equipment state provided by the embodiment of the application, the processor displays the variation trends of different operation indexes of the equipment to be monitored in the form of a chart after determining the variation trends of the multiple operation indexes of the equipment to be monitored, so that the relation between the variation trends of the multiple different operation indexes of the equipment to be monitored can be more visually represented, a reasonable and accurate operation index threshold can be customized for the equipment according to the multiple operation indexes, and the efficiency of monitoring the state of the equipment to be monitored in real time is improved.
In S401, the processor displays the variation trend of different operation indexes of the device to be monitored in the form of a graph.
In an example, the processor may display specific values of different operation indexes in a time axis form, may select any period of time and any kind of operation indexes to be displayed in a same page in a comparative manner, and may further display a variation trend of a plurality of different types of operation indexes of the device to be monitored in a same graph in a comparative manner within any period of time. For example, the vibration signal data, the temperature information data, and the device load data in the sixty-th day of operation of the device to be monitored may be displayed in the same page in a contrasting manner according to a time axis, and the vibration signal variation trend and the temperature information variation trend in the sixty-th day of operation of the device to be monitored may also be displayed in a contrasting manner in the same graph.
In one example, after the user selects and/or inputs the device identifier, the user may further input a required time parameter, and after detecting the user operation, the processor may display, in response to the user operation, a plurality of operation indexes of the device corresponding to the device identifier at the time, and may obtain a plurality of corresponding operation index trends according to the plurality of operation indexes.
In one example, after the processor displays a plurality of operation indexes of the device to be monitored on the same page, a user can select a required analysis function and/or statistical function, and the processor performs corresponding processing on the plurality of operation indexes in response to the operation of the user according to the selected function of the user. The analysis function may include at least one of frequency domain analysis and time domain analysis, and the statistical function may include performing comparative statistics on the operation index data, for example, counting an interval range in which vibration information of the device to be monitored mainly lies when the device is operated.
The foregoing is a specific implementation of the method for monitoring a device status provided in an embodiment of the present application.
Based on the method for monitoring the equipment state provided by the embodiment, correspondingly, the application also provides a specific implementation manner of the device for monitoring the equipment state. Please see the examples below.
As shown in fig. 5, an apparatus condition monitoring device 500 provided in the embodiment of the present application includes the following modules:
an obtaining module 501, configured to obtain, from a server, multiple operation indexes corresponding to the device to be monitored during operation at multiple different times in a first time period, where the multiple operation indexes include digital signals corresponding to multiple different types of sensors and field process parameter information;
a first determining module 502, configured to determine, for each operation index, a change trend of the operation index of the device to be monitored according to the operation indexes at multiple different times in a first time period;
a second determining module 503, configured to determine an operating state of the device to be monitored in the first time period according to the change trend of each operation index and an operation index threshold of the device to be monitored in each operation index;
the operation index threshold is an operation index threshold determined by the operation state of the device to be monitored after the device to be monitored operates for the second time period.
In the device status monitoring apparatus 500 provided in this embodiment of the application, a plurality of different types of sensors are installed on a device to be monitored, signals generated during operation of the device are collected by the sensors of the different types, and transmitted to a server, the obtaining module 501 obtains a plurality of operation indexes corresponding to the device to be monitored during operation at a plurality of different times in a first time period from the server, the first determining module 502 determines a variation trend of the operation indexes of the device to be monitored according to the operation indexes at the plurality of different times in the first time period, and the second determining module 503 determines an operation status of the device to be monitored during the first time period according to the variation trend of each operation index and an operation index threshold of the device to be monitored during operation of each operation index.
Thus, the device status monitoring apparatus 500 provided in this embodiment of the present application considers a plurality of operation indexes of the device when determining the operation status of the device to be monitored, so as to improve the accuracy of monitoring the device status compared with a single index detection technique. In addition, when the equipment state is determined, the equipment state is determined according to the operation index variation trend of the equipment within a period of time and the operation index threshold determined according to the operation state within a period of time, and the variation trend within a period of time can eliminate abnormal conditions of individual time points, so that the equipment state monitoring accuracy is improved.
In addition, the embodiment of the application obtains a plurality of operation indexes corresponding to the equipment to be monitored in operation at a plurality of different moments in a first time period through signals generated in real time during the operation of the equipment, so that the current operation state of the equipment is monitored in real time. Therefore, a large amount of manpower and material resources consumed by timing point inspection are reduced, and the maintenance cost is reduced.
As another embodiment of the present application, in order to improve the accuracy of the operation index threshold of the device to be monitored at each operation index according to a plurality of operation indexes of the device to be monitored at a plurality of different times, and reduce the false alarm rate of the device, the device status monitoring apparatus 500 may further include:
the updating module 504 is configured to update an operation index threshold of the monitoring device at each operation index according to an operation state of the device to be monitored in a first time period and a plurality of operation indexes corresponding to operations of the device to be monitored at a plurality of different times in the first time period.
As another embodiment of the present application, in order to more intuitively represent a variation trend of a plurality of different operation indexes of a device to be monitored and improve efficiency of monitoring a state of the device to be monitored in real time, the device state monitoring apparatus 500 may further include:
and the display module 505 is configured to display a variation trend of different operation indexes of the device to be monitored in a form of a graph.
An embodiment of the present application further provides an electronic device 600, as shown in fig. 6:
the device state monitoring method comprises a processor 601, a memory 602 and a computer program which is stored on the memory 602 and can run on the processor 601, wherein when the computer program is executed by the processor 601, the computer program realizes each process of the device state monitoring method embodiment, and can achieve the same technical effect.
Specifically, the processor 601 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
In particular embodiments, memory may include Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to the methods according to an aspect of the application.
The processor 601 may implement any of the above-described device condition monitoring methods in the embodiments by reading and executing computer program instructions stored in the memory 602.
In one example, the electronic device may also include a communication interface 603 and a bus 610. As an example, as shown in fig. 6, the processor 601, the memory 602, and the communication interface 603 are connected via a bus 610 and perform communication with each other.
The communication interface 603 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the device status monitoring method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (9)
1. An apparatus condition monitoring method, comprising:
the method comprises the steps that a plurality of operation indexes corresponding to operation of equipment to be monitored at a plurality of different moments in a first time period are obtained from a server, wherein the operation indexes comprise digital signals corresponding to sensors of various types and field process parameter information;
for each operation index, determining the operation index variation trend of the equipment to be monitored according to the operation indexes at a plurality of different moments in a first time period;
determining the running state of the equipment to be monitored in a first time period according to the change trend of each running index and the running index threshold value of the equipment to be monitored in each running index;
and the operation index threshold is determined by the operation state of the equipment to be monitored after the equipment to be monitored operates for the second time period.
2. The method of claim 1, wherein after determining the operational status of the device to be monitored within the first time period, the method further comprises:
and updating the operation index threshold value of the equipment to be monitored at each operation index according to the operation state of the equipment to be monitored in the first time period and a plurality of operation indexes corresponding to the operation of the equipment to be monitored at a plurality of different moments in the first time period.
3. The method according to any one of claims 1-2, wherein after determining the operation index variation trend of the equipment to be monitored, the method further comprises:
and displaying the variation trend of different operation indexes of the equipment to be monitored in a form of a chart.
4. The method of claims 1-2, wherein the sensor digital signal includes at least temperature information, a vibration signal, and an ultrasonic signal.
5. An apparatus condition monitoring device, comprising:
the system comprises an acquisition module, a monitoring module and a processing module, wherein the acquisition module is used for acquiring a plurality of operation indexes corresponding to the operation of equipment to be monitored at a plurality of different moments in a first time period from a server, and the operation indexes comprise digital signals corresponding to a plurality of different types of sensors and field process parameter information;
the first determining module is used for determining the operation index change trend of the equipment to be monitored according to the operation indexes at a plurality of different moments in a first time period aiming at each operation index;
the second determining module is used for determining the running state of the equipment to be monitored in the first time period according to the change trend of each running index and the running index threshold value of the equipment to be monitored in each running index;
and the operation index threshold is determined by the operation state of the equipment to be monitored after the equipment to be monitored operates for the second time period.
6. An equipment condition monitoring system, comprising:
the system comprises a plurality of sensors of different types, a server and a monitoring server, wherein the sensors of different types are arranged on key components of equipment to be monitored and used for acquiring signals generated when the equipment to be monitored runs and transmitting the signals to the server;
the server is used for storing a plurality of operation indexes corresponding to the operation of the equipment to be monitored at a plurality of different moments in a first time period;
a processor for performing the method of any one of claims 1-4.
7. An electronic device, characterized in that the electronic device comprises: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the device status monitoring method of any one of claims 1-4.
8. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor, implement the device status monitoring method of any one of claims 1-4.
9. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, the electronic device performs the device status monitoring method according to any one of claims 1-4.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210521803.6A CN114879617A (en) | 2022-05-13 | 2022-05-13 | Equipment state monitoring method, device, equipment and computer storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210521803.6A CN114879617A (en) | 2022-05-13 | 2022-05-13 | Equipment state monitoring method, device, equipment and computer storage medium |
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| CN202210521803.6A Pending CN114879617A (en) | 2022-05-13 | 2022-05-13 | Equipment state monitoring method, device, equipment and computer storage medium |
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