CN112286920B - Equipment running state monitoring method, device and equipment - Google Patents
Equipment running state monitoring method, device and equipment Download PDFInfo
- Publication number
- CN112286920B CN112286920B CN202011162827.4A CN202011162827A CN112286920B CN 112286920 B CN112286920 B CN 112286920B CN 202011162827 A CN202011162827 A CN 202011162827A CN 112286920 B CN112286920 B CN 112286920B
- Authority
- CN
- China
- Prior art keywords
- target
- equipment
- parameters
- monitoring
- operation parameters
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 102
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000012360 testing method Methods 0.000 claims abstract description 120
- 230000006870 function Effects 0.000 claims description 10
- 230000014509 gene expression Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 description 8
- 230000009471 action Effects 0.000 description 3
- 238000012806 monitoring device Methods 0.000 description 3
- 239000003086 colorant Substances 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Quality & Reliability (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The embodiment of the application discloses a method, a device and equipment for monitoring the running state of equipment, wherein the method comprises the following steps: selecting target operation parameters from the operation parameters by acquiring the operation parameters of the equipment; obtaining a commissioning result of the equipment; the test run result comprises test run data corresponding to the target operation parameters; selecting a target operation parameter from the operation parameters; determining test operation data corresponding to the target operation parameters as target test operation data; analyzing the target test operation data, and determining a correlation relation between the target operation parameters; generating an equipment performance graph according to the correlation among the target operation parameters; and monitoring the running state of the equipment by using the equipment performance graph. Therefore, the running state of the equipment which is relatively universal can be monitored, the running state of the equipment is convenient to monitor, and the running safety of the equipment is ensured.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method, an apparatus, and a device for monitoring an operating state of a device.
Background
In order to ensure the operation safety of the equipment and adjust the operation state of the equipment during the operation of the equipment, the operation state of the equipment needs to be monitored in real time. During monitoring, some operation data generated by the device generally needs to be acquired, the current operation state of the device is determined according to the acquired operation data, and whether the device is operated safely or not is judged according to the current operation state of the device, or the operation state of the device is correspondingly adjusted.
Currently, when monitoring the operation state of equipment, a specific operation state monitoring method corresponding to the equipment needs to be adopted. However, the operation state monitoring method customized according to the model of the device is difficult to be applied to other devices. Some devices lack corresponding running state monitoring, and cannot monitor the running state of the devices, so that the running safety of the devices is difficult to ensure.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, and a device for monitoring an operating state of a device, which are capable of generating a device performance graph corresponding to the device, and monitoring the operating state of the device by using the device performance graph.
In order to solve the above problem, the technical solution provided by the embodiment of the present application is as follows:
in a first aspect, the present application provides a method for monitoring an operating state of a device, where the method includes:
acquiring operation parameters of equipment, and selecting target operation parameters from the operation parameters;
acquiring a test run result of the equipment; the test run result comprises test run data corresponding to the target operation parameters;
determining test operation data corresponding to the target operation parameters as target test operation data;
analyzing the target test operation data, and determining a correlation relation between the target operation parameters;
generating an equipment performance graph according to the correlation among the target operation parameters;
and monitoring the running state of the equipment by using the equipment performance graph.
Optionally, when the number of the target operating parameters is at least two, generating an equipment performance graph according to the correlation between the target operating parameters includes:
determining a coordinate origin in a pre-established graph area, and establishing a coordinate system according to the target operation parameters;
and generating a device performance graph in the coordinate system according to the correlation among the target operation parameters.
Optionally, the monitoring the operation state of the device by using the device performance graph includes:
selecting a monitoring parameter from the target operation parameters, and determining a target equipment performance graph corresponding to the monitoring parameter;
acquiring an operation result of the equipment, and acquiring monitoring data corresponding to the monitoring parameters from the operation result;
determining an operating point corresponding to the monitoring data in an area where the target equipment performance graph is located;
and determining the running state of the equipment according to the relative position between the target equipment performance graph and the running point.
Optionally, the analyzing the target test operation data to determine a correlation relationship between target operation parameters corresponding to the target test operation data includes:
analyzing the target test operation data, and judging whether the correlation between the target operation parameters corresponding to the target test operation data meets a functional relationship or not;
if yes, determining a function coefficient according to the target test operation data;
and establishing a functional relation between the target operation parameters by using the curve coefficients.
Optionally, the generating a device performance graph according to the correlation between the target operating parameters includes:
and generating an equipment performance curve according to the functional relation among the target operation parameters.
Optionally, before analyzing the target test operation data and determining a correlation between target operation parameters corresponding to the target test operation data, the method further includes:
determining the current operation condition of the equipment test operation according to the target test operation data;
judging whether an alternative operation condition of the current operation condition exists;
and if so, adjusting the equipment to the alternative operation working condition, and acquiring a test operation result output by the equipment.
Optionally, the method further includes:
acquiring basic operation information of the equipment;
determining an operation safety interval of the equipment according to the operation basic information and the target operation parameter;
marking the operation safety interval in the equipment performance graph.
In a second aspect, the present application provides an apparatus for monitoring an operation status of a device, the apparatus comprising:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring the operation parameters of the device and selecting target operation parameters from the operation parameters;
the second acquisition unit is used for acquiring a test run result of the equipment; the test run result comprises test run data corresponding to the target operation parameters;
the determining unit is used for determining the test operation data corresponding to the target operation parameters as target test operation data;
the analysis unit is used for analyzing the target test operation data and determining the correlation among the target operation parameters;
the generating unit is used for generating an equipment performance graph according to the correlation among the target operation parameters;
and the monitoring unit is used for monitoring the running state of the equipment by using the equipment performance graph.
Optionally, when the number of the target operating parameters is at least two, the generating unit includes:
the establishing subunit is used for determining a coordinate origin in a pre-established graph area and establishing a coordinate system according to the target operation parameters;
and the generating subunit is used for generating an equipment performance graph in the coordinate system according to the correlation among the target operating parameters.
Optionally, the monitoring unit is specifically configured to select a monitoring parameter from the target operation parameters, and determine a target device performance graph corresponding to the monitoring parameter; acquiring an operation result of the equipment, and acquiring monitoring data corresponding to the monitoring parameters from the operation result; determining an operating point corresponding to the monitoring data in an area where the target equipment performance graph is located; and determining the running state of the equipment according to the relative position between the target equipment performance graph and the running point.
Optionally, the analyzing unit is specifically configured to analyze the target test operation data, and determine whether a correlation between target operation parameters corresponding to the target test operation data satisfies a functional relationship; if yes, determining a function coefficient according to the target test operation data; and establishing a functional relation between the target operation parameters by using the curve coefficients.
Optionally, the generating unit is specifically configured to generate an equipment performance curve according to a functional relationship between the target operation parameters.
Optionally, the apparatus further comprises:
the working condition determining unit is used for determining the current operating working condition of the equipment test operation according to the target test operation data;
the judging unit is used for judging whether the alternative operation working condition of the current operation working condition exists or not;
and the adjusting unit is used for adjusting the equipment to the alternative operation condition if the equipment exists, and acquiring a test operation result output by the equipment.
Optionally, the apparatus further comprises:
a third obtaining unit, configured to obtain basic operation information of the device;
the safety confirmation unit is used for determining an operation safety interval of the equipment according to the operation basic information and the target operation parameters;
and the marking unit is used for marking the operation safety interval in the equipment performance graph.
In a third aspect, the present application provides an apparatus for monitoring an operation state of an apparatus, where the apparatus includes: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is for storing one or more programs, the one or more programs including instructions, which when executed by the processor, cause the processor to perform the method of any of the above.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein instructions that, when run on a terminal device, cause the terminal device to perform any of the methods described above.
Therefore, the embodiment of the application has the following beneficial effects:
according to the method, the device and the equipment for monitoring the running state of the equipment, the running parameters of the equipment are obtained, and the target running parameters are selected from the running parameters; acquiring a test run result of the equipment; the test run result comprises test run data corresponding to the target operation parameters; selecting a target operation parameter from the operation parameters; determining test operation data corresponding to the target operation parameters as target test operation data; analyzing the target test operation data, and determining a correlation relation between the target operation parameters; generating an equipment performance graph according to the correlation among the target operation parameters; and monitoring the running state of the equipment by using the equipment performance graph. Therefore, by determining the target operation parameters of the equipment and acquiring the trial operation result of the equipment, the correlation of the target operation parameters can be determined for the equipment, the equipment performance graph corresponding to the equipment is further generated, and the monitoring of the operation state of the equipment is realized through the equipment performance graph. Therefore, the running state of the equipment can be monitored more generally, the running state of the equipment is convenient to monitor, and the running safety of the equipment is ensured.
Drawings
Fig. 1 is a flowchart of a method for monitoring an operation state of a device according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for monitoring an operation state of a device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an apparatus operation state monitoring device according to an embodiment of the present application.
Detailed Description
In order to facilitate understanding and explaining the technical solutions provided by the embodiments of the present application, the following description will first describe the background art of the present application.
After researching the traditional equipment running state monitoring method, the inventor finds that the running state of the equipment needs to be monitored in the industrial field. Due to different operation conditions of different types of devices, corresponding operation state monitoring needs to be designed for different types or models of devices. At present, all the existing equipment running state monitoring methods are correspondingly generated according to the models of the equipment, so that only part of the equipment can realize the monitoring of the running state, and a universal running state monitoring method is lacked.
Based on this, an embodiment of the present application provides an apparatus operation state monitoring method, where the method includes: acquiring operation parameters of equipment, and selecting target operation parameters from the operation parameters; acquiring a test run result of the equipment; the test run result comprises test run data corresponding to the target operation parameters; determining test operation data corresponding to the target operation parameters as target test operation data; analyzing the target test operation data, and determining a correlation relation between the target operation parameters; generating an equipment performance graph according to the correlation among the target operation parameters; and monitoring the running state of the equipment by using the equipment performance graph.
In order to facilitate understanding of the technical solutions provided by the embodiments of the present application, a method for monitoring an operating state of equipment provided by the embodiments of the present application is described below with reference to the accompanying drawings.
Referring to fig. 1, the figure is a flowchart of a method for monitoring an operation state of a device according to an embodiment of the present application, where the method includes S101 to S106.
S101: and acquiring the operating parameters of the equipment, and selecting target operating parameters from the operating parameters.
The operating parameters of the equipment refer to parameters related to the operation of the equipment. The operating parameters of the device may include input parameters of the device, output parameters of the device, and parameters of the basic operation of the associated device. For example, for a compressor, the operating parameters of the compressor may include motor frequency, motor current, output power, inlet pressure, outlet pressure, inlet-outlet pressure differential, outlet flow, shaft temperature, shaft vibration, shaft displacement, and the like. The operation parameters of the equipment can reflect the current operation state of the equipment, and the operation state of the equipment can be monitored by analyzing the operation parameters of the equipment.
The number of the operation parameters is not limited in the embodiment of the application, and it can be understood that the more the number of the operation parameters is, the more the parameters capable of monitoring the equipment are, and the more the operation state of the equipment can be accurately reflected.
It can be understood that, when monitoring the operation state of the device, data corresponding to the operation parameters of the device needs to be acquired to monitor the operation state of the device. And selecting target operation parameters from the obtained operation parameters of the equipment, wherein the target operation parameters are operation parameters for monitoring the operation state of the equipment. The target operating parameter may be one or more of the operating parameters.
S102: acquiring a test run result of the equipment; the test run result comprises test run data corresponding to the target operation parameters.
Before monitoring the equipment, the equipment needs to be subjected to trial operation, and a trial operation result of the equipment can be obtained through the trial operation. The running state of the equipment can be determined through the trial running result, so that the equipment can be conveniently and formally monitored in the subsequent running state.
The test run result includes test run data. The test operation data is a specific numerical value corresponding to an operation parameter obtained when the equipment operates. For example, when the compressor is in test operation, a test operation result of the compressor can be obtained, and the test operation result has a specific value of the shaft temperature in the test operation process, that is, test operation data.
In order to enable the obtained test running result to be more accurate, the obtained test running result can be subjected to data cleaning, and invalid data or inaccurate data can be cleaned.
In addition, the equipment can be adjusted according to the trial operation result of the equipment, so that the trial operation result of the equipment comprises various possible operation results. In a possible implementation manner, a corresponding data trend graph can be generated according to the obtained trial operation result, and the parameters of the trial operation of the equipment are further adjusted according to the data trend graph, so that a relatively comprehensive trial operation result is obtained. In another possible implementation manner, part of the parameters affect the operation data of other operation parameters, and the change of the parameters can be correspondingly controlled to obtain the test operation results of other operation parameters under different parameter conditions. For example, if the motor frequency and the motor current are selected as the target operating parameters, the values of the generated motor currents are different for different motor loads. Different motor loads need to be selected, and the trial operation results of the motor frequency and the motor current under different motor loads are obtained. Therefore, the correlation between the corresponding motor frequency and the motor current can be generated aiming at different motor loads.
The test operation data includes data corresponding to the target operation parameter. In a possible implementation manner, data corresponding to all the operation parameters during the trial operation of the device may be obtained as the trial operation data. In another possible implementation manner, after the target operation parameter is determined, data corresponding to the target operation parameter generated in the device commissioning process may be acquired as commissioning data.
S103: and determining the test operation data corresponding to the target operation parameters as target test operation data.
The test operation data may have test operation data corresponding to operation parameters other than the target operation parameters, and the test operation data corresponding to the target operation parameters is used as the target test operation data.
S104: and analyzing the target test operation data, and determining the correlation between the target operation parameters.
The target test operation data are test operation data corresponding to the target operation parameters, and by analyzing the target test operation data, the correlation relation between the target operation parameters can be determined through data analysis. The correlation relationship may be a specific linear relationship, a polynomial curve, or other functional relationship that can be expressed by a functional expression. The correlation may also be a correspondence between ranges of target operating parameters.
The embodiment of the present application provides a specific implementation manner for determining the correlation when the correlation is a functional relationship, which is specifically referred to as the following.
S105: and generating an equipment performance graph according to the correlation among the target operation parameters.
The equipment performance graph shows the running state of the equipment under different working conditions through the graph. And generating a corresponding equipment performance graph according to the determined correlation among the target operation parameters so as to be used for monitoring the operation state.
The device performance graph can be a straight line, a broken line, a curved line, or a circle, a rectangle, a triangle, a pentagon, and the like. In a possible implementation manner, device performance graphs of various shapes may be preset, a corresponding device performance graph is selected according to a correlation between target operation parameters, and specific parameters of the selected device performance graph are set according to a specific correlation.
The embodiment of the present application provides a specific implementation manner for generating an equipment performance graph according to a correlation between target operating parameters, please refer to the following.
S106: and monitoring the running state of the equipment by using the equipment performance graph.
And monitoring the running state of the equipment by using the generated equipment performance graph. In a possible implementation manner, an operation result generated by the device in the operation process may be obtained, an operation point is marked in the device performance graph by using the operation result, and the operation state of the device is determined by using the operation point.
The embodiment of the present application provides a specific implementation manner for monitoring an operating state of a device by using a device performance graph, which is specifically referred to as the following.
Based on the above contents, in the method for monitoring the operation state of the device provided in the embodiment of the present application, by determining the target operation parameter of the device and determining the target test operation data corresponding to the target operation parameter from the test operation result, the correlation between the target operation parameters can be obtained through analyzing the target test operation data obtained by the test operation, and the device performance graph corresponding to the device can be generated by using the correlation, so that the device performance graph is used to monitor the operation state of the device. Therefore, by determining the target operation parameters of the equipment and performing trial operation of the equipment, the correlation between the target operation parameters of the equipment can be determined, so that the generation of the equipment performance graph of any equipment can be realized, the operation state of any equipment can be monitored, and the cost of customized equipment operation state monitoring is reduced.
When the number of the target operating parameters is at least two, a corresponding coordinate system can be established, and the equipment performance graph is generated in the established coordinate system. The embodiment of the present application provides a method for generating an equipment performance graph, where when the number of the target operating parameters is at least two, S105 specifically includes the following two steps:
a1: and determining a coordinate origin in a pre-established graph area, and establishing a coordinate system according to the target operation parameters.
A graphics area for generating a device performance graphic is pre-established, which may be a canvas area for displaying or exposing the device performance graphic. The origin of coordinates is determined in the graph area, and the position of the origin of coordinates can be determined according to the specific type of the established coordinate system and the number of the coordinate systems to be established. For example, when a coordinate system having a negative coordinate axis needs to be established in one figure region, the origin of coordinates may be determined at the center position of the figure region. For another example, when a coordinate system having only an axis of positive coordinates needs to be established in one of the graphic regions, the origin of coordinates may be determined at a position in a lower left corner of the graphic region. When a plurality of coordinate systems which cannot be superposed are required to be established, a plurality of graphic areas can be established, the origin of coordinates in each graphic area is determined respectively, and a corresponding coordinate system is established. When the corresponding coordinate systems are established in a plurality of graphic regions, the display hierarchy of the graphic regions may also be set so as to determine the display order of the graphic regions. When a coordinate system that can be superimposed is to be established, for example, with the same abscissa or ordinate, the corresponding origin of coordinates can be determined in the same graphic area.
And establishing a coordinate system according to the target operation parameters on the basis of determining the origin of the coordinates. Specifically, a corresponding coordinate system may be established according to the number of the target operating parameters and the correlation between the target operating parameters. For example, when the number of the target operation parameters is two, the target operation parameters corresponding to the horizontal and vertical coordinates are selected from the target operation parameters, and a corresponding two-dimensional coordinate system is established. For another example, when the number of the target operation parameters is three, if there is a correlation between the three target operation parameters, the three-dimensional coordinate system may be correspondingly established. When the number of the target operation parameters is three, but the first target operation parameter and the second target operation parameter have a correlation with the third target operation parameter, a corresponding superimposed coordinate system may be established, with the third target operation parameter as an abscissa and the first target operation parameter and the second target operation parameter as an ordinate.
When a plurality of coordinate systems need to be established or the coordinate systems need to be superposed, the coordinate systems can be distinguished by selecting colors of different coordinate systems.
A2: and generating a device performance graph in the coordinate system according to the correlation among the target operation parameters.
After the coordinate system is established, according to the specific correlation among the target operation parameters, determining a corresponding graph in the coordinate system as an equipment performance graph.
When multiple device performance graphics are generated, the colors and display levels of the different device performance graphics may be adjusted for differentiation.
In the embodiment of the application, a coordinate system is established in advance, and the equipment performance graph is correspondingly generated in the coordinate system. The corresponding coordinate system can be established according to the generation requirement of the equipment performance graph for different types of equipment, so that the corresponding equipment performance graph can be generated for any equipment conveniently, and the universality of monitoring the running state of the equipment is improved.
In a possible implementation manner, an embodiment of the present application further provides a specific implementation manner of S106. Referring to fig. 2, the figure is a flowchart of a method for monitoring an operating state of a device according to an embodiment of the present application, where the method includes S201-S204.
S201: and selecting monitoring parameters from the target operation parameters, and determining a target equipment performance graph corresponding to the monitoring parameters.
In order to realize the monitoring of the running state of the equipment by using the performance graph of the target equipment, the monitoring parameters are selected from the target running parameters. By selecting the monitoring parameters, the monitoring parameters can be ensured to have corresponding target equipment performance graphs, and the corresponding target equipment performance graphs can be utilized for monitoring. For example, the motor frequency in the target operation parameters is used as a monitoring parameter, and then a target equipment performance graph corresponding to the motor frequency is determined.
S202: and acquiring an operation result of the equipment, and acquiring monitoring data corresponding to the monitoring parameters from the operation result.
Obtaining an operation result of the device, where it needs to be noted that the operation result is an operation result obtained when the device is in formal operation, and the operation result has monitoring data corresponding to the monitoring parameter. The operation result may be an operation result of real-time operation of the device.
Taking the motor frequency as an example of the monitoring parameter, the monitoring data corresponding to the motor frequency in the operation result of the device is obtained.
S203: and determining an operating point corresponding to the monitoring data in the area where the target equipment performance graph is located.
Monitoring data corresponding to the monitoring parameters can be determined through the operation result, and corresponding operation points can be determined in the area where the target equipment performance graph is located by using the monitoring data. The operating point may represent the current operating condition of the device.
The shape of the operating point can be a round point, a triangular point and the like. The shape corresponding to the operating point can be selected from the preset shapes according to the type of the operating point or the display requirement.
In one possible implementation, the area in which the target device performance graph is located may be a coordinate system established when the target device performance graph is generated.
Still taking the motor frequency as the monitoring parameter as an example, determining an operating point corresponding to the monitoring data of the motor frequency in the area where the target device performance graph corresponding to the motor frequency is located.
S204: and determining the running state of the equipment according to the relative position between the target equipment performance graph and the running point.
It can be understood that different areas in the target and device performance graphs may represent the operating states of the corresponding devices, and according to the relative positions between the operating points and the target device performance graph, the operating state corresponding to the current operating condition of the device corresponding to the operating point may be determined.
Based on the above, by marking the operation point in the area where the target device performance graph is located, the current operation state of the device can be determined more accurately according to the relative relationship between the operation point and the target device performance graph, so that the operation state of the device can be monitored.
In one possible implementation, the correlation between the target operating parameters is a functional relationship. The embodiment of the present application further provides a specific implementation manner of S104, which specifically includes the following three steps:
b1: and analyzing the target test operation data, and judging whether the correlation relation between the target operation parameters corresponding to the target test operation data meets the functional relation.
And analyzing the target test operation data, judging the type of the correlation according to the analysis result, and determining whether the correlation meets the functional relationship. If yes, the correlation between the target operation parameters can be represented by a specific function.
The functional relationship refers to a relationship between target operating parameters that can be expressed by a specific functional expression, such as a linear relationship, a polynomial relationship, a parabolic relationship, and the like.
When the target test operation data is analyzed, whether the target operation parameters have a functional relation can be determined by a process mechanism analysis method. If so, a preset functional relationship among the target operation parameters can be established in advance, and then the target test operation data is analyzed to confirm whether the target operation parameters are in the preset functional relationship.
B2: and if so, determining a function coefficient according to the target test operation data.
If the correlation between the target operating parameters satisfies the functional relationship, the function coefficient in the functional relationship needs to be further determined. And determining a function coefficient in the functional relation by using the target operation data corresponding to the target operation parameters and the functional relation among the target operation parameters.
B3: and establishing a functional relation between the target operation parameters by using the function coefficients.
And establishing a specific functional relation among the target operation parameters by using the obtained function coefficients.
Further, when the correlation between the target operation parameters is a functional relationship, the generating an equipment performance graph according to the correlation between the target operation parameters includes:
and generating an equipment performance curve according to the functional relation among the target operation parameters.
When the correlation between the target operating parameters is a functional relationship, a functional curve, that is, a device performance curve, may be generated accordingly.
In one possible implementation, the corresponding device performance curve may be generated according to a functional relationship in a pre-established coordinate system.
In the embodiment of the application, when the correlation between the target operation parameters meets the functional relationship, the specific functional relationship between the target operation parameters is determined through the corresponding target test operation data, and the obtained functional relationship can more accurately represent the correlation between the target operation parameters. Therefore, a more accurate equipment performance curve is generated, and the running state can be conveniently monitored by using the equipment performance curve.
The operation of the equipment is also influenced by the working conditions, and when the equipment has a plurality of operating conditions, the operating results under different operating conditions are different. In order to monitor the operation state of the equipment under each operating condition more accurately, it is necessary to generate an equipment performance graph corresponding to each operating condition.
Before analyzing the target test operation data and determining the correlation between the target operation parameters, the method may further include the following three steps:
c1: and determining the current operation condition of the equipment test operation according to the target test operation data.
When the equipment is in test operation, the equipment can have corresponding operation working conditions. And determining the current operation condition of the equipment in the trial operation according to the obtained target trial operation data.
C2: and judging whether the alternative operation working condition of the current operation working condition exists or not.
There may be multiple possible operating conditions for some of the equipment, or for some operating condition of the equipment. And judging whether the current operation working condition of the equipment in trial operation has other alternative operation working conditions.
If the device does not have other alternative operation conditions, the current operation condition of the device is the only operation condition, and the operation condition is not required to be adjusted.
C3: if so, adjusting the equipment to the alternative operation condition, and acquiring a test operation result output by the equipment.
If the current operation condition of the equipment has the alternative operation condition, the current operation condition of the equipment needs to be adjusted to the alternative operation condition, and the operation result of the equipment under the alternative operation condition is obtained. And obtaining corresponding equipment performance graphs under different operation conditions by using the obtained operation results of the equipment under different operation conditions.
Based on the above content, the method for monitoring the running state of the equipment provided by the embodiment of the application can generate the performance graphs of the equipment under different running conditions by acquiring the test running results of the equipment under different working conditions, so that the accuracy and the practicability of monitoring the running state of the equipment are improved.
The equipment has a corresponding safe operation interval, and when the running state of the equipment is monitored, whether the equipment runs in the safe operation interval needs to be confirmed. In one possible implementation, a safe interval of operation may be marked in the device performance graph to determine whether the device is operating within the safe interval by the operating point. The embodiment of the application provides a method for monitoring the running state of equipment, which comprises the following three steps in addition to the steps:
d1: and acquiring basic operation information of the equipment.
Obtaining operation basic information corresponding to the equipment, wherein the operation basic information can be relevant information of normal operation of the equipment determined by operation data of the equipment or process requirements and the like. The basic operation information can determine the condition under which the equipment can normally operate, and the equipment can obtain an operation result when the equipment normally operates.
D2: and determining the operation safety interval of the equipment according to the operation basic information and the target operation parameters.
In order to mark an operation safety interval in an apparatus performance graph determined by a target operation parameter, an operation safety interval corresponding to the target operation parameter needs to be determined together according to the operation basic information and the target operation parameter.
D3: marking the operation safety interval in the equipment performance graph.
And marking the operation safety interval in the equipment performance graph according to the determined operation safety interval of the equipment. In one possible implementation, the operation safety zone may be marked with a special color or identification.
The operation safety interval of the equipment is determined by the operation basic information and the target operation parameters, and the equipment performance graph is marked, so that the operation safety interval of the equipment can be determined according to the equipment performance graph, and the operation state of the equipment is monitored.
Based on the method for monitoring the running state of the device provided by the above method embodiment, an apparatus for monitoring the running state of the device is also provided in the embodiment of the present application, and the apparatus for monitoring the running state of the device will be described below with reference to the accompanying drawings.
Referring to fig. 3, the drawing is a schematic structural diagram of an apparatus operation state monitoring device according to an embodiment of the present application. As shown in fig. 3, the apparatus operation state monitoring device includes:
a first obtaining unit 301, configured to obtain operation parameters of a device, and select a target operation parameter from the operation parameters;
a second obtaining unit 302, configured to obtain a commissioning result of the device; the test run result comprises test run data corresponding to the target operation parameters;
a determining unit 303, configured to determine test operation data corresponding to the target operation parameter as target test operation data;
an analyzing unit 304, configured to analyze the target test operation data and determine a correlation between the target operation parameters;
a generating unit 305, configured to generate an equipment performance graph according to the correlation between the target operating parameters;
a monitoring unit 306, configured to monitor an operating state of the device by using the device performance graph.
Optionally, when the number of the target operating parameters is at least two, the generating unit 305 includes:
the establishing subunit is used for determining a coordinate origin in a pre-established graph area and establishing a coordinate system according to the target operation parameters;
and the generating subunit is used for generating an equipment performance graph in the coordinate system according to the correlation among the target operating parameters.
Optionally, the monitoring unit 306 is specifically configured to select a monitoring parameter from the target operating parameters, and determine a target device performance graph corresponding to the monitoring parameter; acquiring an operation result of the equipment, and acquiring monitoring data corresponding to the monitoring parameters from the operation result; determining an operating point corresponding to the monitoring data in an area where the target equipment performance graph is located; and determining the running state of the equipment according to the relative position between the target equipment performance graph and the running point.
Optionally, the analyzing unit 304 is specifically configured to analyze the target test operation data, and determine whether a correlation relationship between target operation parameters corresponding to the target test operation data satisfies a functional relationship; if yes, determining a function coefficient according to the target test operation data; and establishing a functional relation between the target operation parameters by using the curve coefficients.
Optionally, the generating unit 305 is specifically configured to generate an apparatus performance curve according to a functional relationship between the target operation parameters.
Optionally, the apparatus further comprises:
the working condition determining unit is used for determining the current operating working condition of the equipment test operation according to the target test operation data;
the judging unit is used for judging whether the alternative operation working condition of the current operation working condition exists or not;
and the adjusting unit is used for adjusting the equipment to the alternative operation working condition if the equipment exists, and acquiring a test operation result output by the equipment.
Optionally, the apparatus further comprises:
a third obtaining unit, configured to obtain basic operation information of the device;
the safety confirmation unit is used for determining an operation safety interval of the equipment according to the operation basic information and the target operation parameters;
and the marking unit is used for marking the operation safety interval in the equipment performance graph.
The present application further provides an apparatus operation state monitoring apparatus, the apparatus includes: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is used to store one or more programs, the one or more programs comprising instructions, which when executed by the processor, cause the processor to perform the method of any of the above embodiments.
The present application further provides a computer-readable storage medium, in which instructions are stored, and when the instructions are executed on a terminal device, the terminal device is caused to execute the method of any of the above embodiments.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system or the device disclosed by the embodiment, the description is simple because the system or the device corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" is used to describe the association relationship of the associated object, indicating that there may be three relationships, for example, "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
It is further 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 a list of elements 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 phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for monitoring the running state of equipment is characterized by comprising the following steps:
acquiring operation parameters of equipment, and selecting target operation parameters from the operation parameters;
acquiring a test run result of the equipment; the test run result comprises test run data corresponding to the target operation parameters;
determining test operation data corresponding to the target operation parameters as target test operation data;
analyzing the target test operation data, and determining a correlation relationship among the target operation parameters, wherein the correlation relationship is a linear relationship, a polynomial curve, a functional relationship expressed by a functional expression or a corresponding relationship among the ranges of the target operation parameters;
generating an equipment performance graph according to the correlation among the target operation parameters, wherein the equipment performance graph is one or more of a straight line, a broken line, a curve, a circle, a rectangle, a triangle and a pentagon;
and monitoring the running state of the equipment by using the equipment performance graph.
2. The method of claim 1, wherein when the number of target operating parameters is at least two, generating a plant performance graph according to the correlation between the target operating parameters comprises:
determining a coordinate origin in a pre-established graph area, and establishing a coordinate system according to the target operation parameters;
and generating a device performance graph in the coordinate system according to the correlation among the target operation parameters.
3. The method of claim 1, wherein said monitoring the operational status of the plant using the plant performance graph comprises:
selecting a monitoring parameter from the target operation parameters, and determining a target equipment performance graph corresponding to the monitoring parameter;
acquiring an operation result of the equipment, and acquiring monitoring data corresponding to the monitoring parameters from the operation result;
determining an operating point corresponding to the monitoring data in an area where the target equipment performance graph is located;
and determining the running state of the equipment according to the relative position between the target equipment performance graph and the running point.
4. The method of claim 1, wherein analyzing the target test operation data to determine a correlation between target operation parameters corresponding to the target test operation data comprises:
analyzing the target test operation data, and judging whether the correlation between the target operation parameters corresponding to the target test operation data meets a functional relationship or not;
if yes, determining a function coefficient according to the target test operation data;
and establishing a functional relation between the target operation parameters by using the curve coefficients.
5. The method of claim 4, wherein generating a device performance graph based on the correlation between the target operating parameters comprises:
and generating an equipment performance curve according to the functional relation among the target operation parameters.
6. The method of claim 1, wherein before analyzing the target test operation data and determining a correlation between target operation parameters corresponding to the target test operation data, the method further comprises:
determining the current operation condition of the equipment test operation according to the target test operation data;
judging whether a substitute operation condition of the current operation condition exists or not;
if so, adjusting the equipment to the alternative operation condition, and acquiring a test operation result output by the equipment.
7. The method of claim 1, further comprising:
acquiring basic operation information of the equipment;
determining an operation safety interval of the equipment according to the operation basic information and the target operation parameter;
marking the operation safety interval in the equipment performance graph.
8. An apparatus for monitoring an operation state of a device, the apparatus comprising:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring the operation parameters of the equipment and selecting a target operation parameter from the operation parameters;
the second acquisition unit is used for acquiring a test run result of the equipment; the test run result comprises test run data corresponding to the target operation parameters;
the determining unit is used for determining the test operation data corresponding to the target operation parameters as target test operation data;
the analysis unit is used for analyzing the target test operation data and determining the correlation among the target operation parameters, wherein the correlation is a linear relation, a polynomial curve, a functional relation expressed by a functional expression or a corresponding relation among the ranges of the target operation parameters;
the generating unit is used for generating an equipment performance graph according to the correlation among the target operation parameters, wherein the equipment performance graph is one or more of a straight line, a broken line, a curve, a circle, a rectangle, a triangle and a pentagon;
and the monitoring unit is used for monitoring the running state of the equipment by using the equipment performance graph.
9. An apparatus operation state monitoring apparatus, comprising: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is to store one or more programs, the one or more programs comprising instructions, which when executed by the processor, cause the processor to perform the method of any of claims 1-7.
10. A computer-readable storage medium having stored therein instructions that, when executed on a terminal device, cause the terminal device to perform the method of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011162827.4A CN112286920B (en) | 2020-10-27 | 2020-10-27 | Equipment running state monitoring method, device and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011162827.4A CN112286920B (en) | 2020-10-27 | 2020-10-27 | Equipment running state monitoring method, device and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112286920A CN112286920A (en) | 2021-01-29 |
| CN112286920B true CN112286920B (en) | 2023-02-21 |
Family
ID=74373119
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011162827.4A Active CN112286920B (en) | 2020-10-27 | 2020-10-27 | Equipment running state monitoring method, device and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112286920B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117434911B (en) * | 2023-12-20 | 2024-04-16 | 北京东方国信科技股份有限公司 | Equipment running state monitoring method and device and electronic equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103758696A (en) * | 2014-01-09 | 2014-04-30 | 华北电力大学 | SCADA (supervisory control and data acquisition) temperature parameter based wind turbine set security evaluation method |
| CN103835851A (en) * | 2013-12-06 | 2014-06-04 | 潍柴动力股份有限公司 | Oil atomizer model selection method and device |
| CN106227127A (en) * | 2016-08-08 | 2016-12-14 | 中国神华能源股份有限公司 | Generating equipment intelligent monitoring and controlling device and monitoring method |
| CN109272599A (en) * | 2018-09-03 | 2019-01-25 | 深圳市智物联网络有限公司 | A kind of data processing method and relevant device |
| CN110543196A (en) * | 2019-08-13 | 2019-12-06 | 华为技术有限公司 | Control method and control device for heat dissipation element |
| CN111059074A (en) * | 2019-12-25 | 2020-04-24 | 浙江中控技术股份有限公司 | Method, device and system for determining running state of compressor |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3321487B2 (en) * | 1993-10-20 | 2002-09-03 | 株式会社日立製作所 | Device / equipment diagnosis method and system |
| JP6766103B2 (en) * | 2018-07-31 | 2020-10-07 | 株式会社日立製作所 | Analytical method and calculator |
-
2020
- 2020-10-27 CN CN202011162827.4A patent/CN112286920B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103835851A (en) * | 2013-12-06 | 2014-06-04 | 潍柴动力股份有限公司 | Oil atomizer model selection method and device |
| CN103758696A (en) * | 2014-01-09 | 2014-04-30 | 华北电力大学 | SCADA (supervisory control and data acquisition) temperature parameter based wind turbine set security evaluation method |
| CN106227127A (en) * | 2016-08-08 | 2016-12-14 | 中国神华能源股份有限公司 | Generating equipment intelligent monitoring and controlling device and monitoring method |
| CN109272599A (en) * | 2018-09-03 | 2019-01-25 | 深圳市智物联网络有限公司 | A kind of data processing method and relevant device |
| CN110543196A (en) * | 2019-08-13 | 2019-12-06 | 华为技术有限公司 | Control method and control device for heat dissipation element |
| CN111059074A (en) * | 2019-12-25 | 2020-04-24 | 浙江中控技术股份有限公司 | Method, device and system for determining running state of compressor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112286920A (en) | 2021-01-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3364324B1 (en) | Method and device for detecting equivalent load of wind turbine generator system | |
| CA2772816C (en) | Methods and systems for monitoring operation of equipment | |
| US9261862B2 (en) | Automation management system and method | |
| US7953577B2 (en) | Method and apparatus for improved fault detection in power generation equipment | |
| US20070043539A1 (en) | Abnormality monitoring system and abnormality monitoring method | |
| CN112286920B (en) | Equipment running state monitoring method, device and equipment | |
| EP3696693A1 (en) | Method and apparatus for monitoring state of device in process industry and medium | |
| CN112504511B (en) | Generator stator temperature monitoring method, device and medium | |
| CN108388237B (en) | Fault diagnosis method, device, equipment and medium for discrete manufacturing equipment | |
| CN115618719A (en) | Fire smoke monitoring and early warning method and system in industrial building and storage medium | |
| JP5062496B2 (en) | Operating state analysis system and operating state analysis method | |
| CN113654803B (en) | Gas turbine vibration abnormality early warning method and device and electronic equipment | |
| CN118034197A (en) | Factory operation data abnormity early warning method, early warning equipment and storage medium | |
| CN116124270B (en) | Automatic intelligent calibration method for dynamic truck scale | |
| CN115963766A (en) | Method and system for rapidly switching multiple partial discharge sensors and storage medium | |
| CN111428345B (en) | Performance evaluation system and method of random load disturbance control system | |
| CN116008820A (en) | Method, device and medium for detecting inconsistency of vehicle battery cells | |
| CN112236798A (en) | Method for quality assurance in the case of producing products, and computing device and computer program | |
| US11131985B2 (en) | Noise generation cause estimation device | |
| CN111176931A (en) | Operation monitoring method, operation monitoring device, server and storage medium | |
| WO2015040683A1 (en) | Sensor soundness determination method and sensor soundness determination device | |
| JP2021005261A (en) | Processing system monitoring device, processing system monitoring method, and program | |
| CN118550241B (en) | Fault diagnosis method for re-entrant manufacturing system, computer apparatus and storage medium | |
| CN115615624B (en) | Equipment leakage detection method and system based on unmanned inspection device | |
| US20230297090A1 (en) | Method and Apparatus for Monitoring a Condition of a Component of a Processing Engineering Plant |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address |
Address after: No. 309 Liuhe Road, Binjiang District, Hangzhou City, Zhejiang Province (High tech Zone) Patentee after: Zhongkong Technology Co.,Ltd. Country or region after: China Address before: No. six, No. 309, Binjiang District Road, Hangzhou, Zhejiang Patentee before: ZHEJIANG SUPCON TECHNOLOGY Co.,Ltd. Country or region before: China |
|
| CP03 | Change of name, title or address |