CN112115418A - Method, device and equipment for acquiring bias estimation information - Google Patents
Method, device and equipment for acquiring bias estimation information Download PDFInfo
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Abstract
The application is suitable for the technical field of industrial Internet of things, and provides an analysis method of the skewed state estimation information, which comprises the following steps: acquiring actual operation data of industrial equipment to be analyzed in a preset analysis period; and acquiring standard state operation data of the industrial equipment, and calculating the state estimation information according to a preset state estimation rule, the actual operation data and the standard state operation data. According to the scheme, the deviation estimation information is obtained through calculation of the preset deviation estimation rule, the difference between the actual operation state and the ideal operation state is quantized, and therefore the user of the industrial equipment can visually know the current operation state of the industrial equipment.
Description
Technical Field
The application belongs to the technical field of industrial Internet of things, and particularly relates to a method, a device and equipment for acquiring skewed state estimation information.
Background
With the coming of the industrial internet era, industrial field industrial equipment is various in types and different in scenes. When the industrial equipment is in operation, a user wants the industrial equipment to be in an ideal operation state, but when the industrial equipment is in actual operation, the actual operation state of the industrial equipment may be different from the ideal operation state due to the industrial equipment itself or external environment. In the prior art, no method can quantify the difference between the actual operation state and the ideal operation state, so that an industrial equipment user cannot intuitively know the current operation state of the industrial equipment.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for acquiring bias estimation information, which can solve the problem that no method in the prior art can quantify the difference between the actual running state and the ideal running state, so that an industrial equipment user cannot intuitively know the current running state of the industrial equipment.
In a first aspect, an embodiment of the present application provides a method for analyzing skewness estimation information, including:
acquiring actual operation data of industrial equipment to be analyzed in a preset analysis period; the actual operation data comprises actual parameter data corresponding to at least one analysis parameter;
acquiring standard state operation data of the industrial equipment; the standard state operation data comprises standard state parameter data corresponding to the analysis parameters;
and calculating the state estimation information according to a preset state estimation rule, the actual operation data and the standard state operation data.
Further, the calculating the state-of-bias estimation information according to a preset state-of-bias estimation rule, the operation data and the current standard state operation data includes:
calculating the average Euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data;
and calculating the bias estimation information according to the average Euclidean distance information and a preset bias estimation function.
Further, the calculating, according to the operation data and the current standard state operation data, average euclidean distance information between the operation data and the current standard state operation data includes:
and calculating first average Euclidean distance information between the actual operation data and the standard state operation data and second average Euclidean distance information of the actual parameter data and the standard state parameter data corresponding to each analysis parameter according to the actual operation data and the standard state operation data.
Further, the preset skewness estimation function is:
wherein the Dev estimate represents the skewed estimate information; a represents a coefficient; x represents the actual operating data; z represents the standard state operation data; xiRepresenting actual operation data corresponding to the ith analysis parameter; ziRepresenting standard state operation data corresponding to the ith analysis parameter;
representing the first average Euclidean distance value;
representing the second average Euclidean distance value; 1,2,3.
Further, before the obtaining of the standard-state operation data of the industrial equipment, the method further includes:
and acquiring a standard state selection instruction, and searching standard state operation data corresponding to the standard state selection instruction from a preset storage space.
Further, before the obtaining of the standard-state operation data of the industrial equipment, the method further includes:
acquiring a standard state setting instruction, wherein the standard state setting instruction comprises one or more standard state operation data;
and storing the one or more standard state operation data into a preset storage space.
In a second aspect, an embodiment of the present application provides an apparatus for analyzing skew estimation information, including:
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring actual operation data of the industrial equipment to be analyzed in a preset analysis period; the actual operation data comprises actual parameter data corresponding to at least one analysis parameter;
the second acquisition unit is used for acquiring the standard-state operation data of the industrial equipment; the standard state operation data comprises standard state parameter data corresponding to the analysis parameters;
and the first calculation unit is used for calculating the state deviation estimation information according to a preset state deviation estimation rule, the actual operation data and the standard state operation data.
Further, the first calculation unit includes:
the second calculation unit is used for calculating the average Euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data;
and the third calculating unit is used for calculating the skewness estimation information according to the average Euclidean distance information and a preset skewness estimation function.
Further, the second calculating unit is specifically configured to:
and calculating first average Euclidean distance information between the actual operation data and the standard state operation data and second average Euclidean distance information of the actual parameter data and the standard state parameter data corresponding to each analysis parameter according to the actual operation data and the standard state operation data.
Further, the preset skewness estimation function is:
wherein the Dev estimate represents the skewed estimate information; a represents a coefficient; x represents the actual operating data; z represents the standard state operation data; xiRepresenting actual operation data corresponding to the ith analysis parameter; ziRepresenting standard state operation data corresponding to the ith analysis parameter;
representing the first average Euclidean distance value;
representing the second average Euclidean distance value; 1,2,3.
Further, the apparatus for analyzing the estimated skewness information further includes:
the first processing unit is used for acquiring a standard state selection instruction and searching standard state operation data corresponding to the standard state selection instruction from a preset storage space.
Further, the apparatus for analyzing the estimated skewness information further includes:
the third acquisition unit is used for acquiring a standard state setting instruction, and the standard state setting instruction comprises one or more standard state operation data;
and the second processing unit is used for storing the one or more standard state operation data into a preset storage space.
In a third aspect, an embodiment of the present application provides an apparatus for acquiring skew estimation information, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for acquiring skew estimation information according to the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for obtaining the skew estimation information according to the first aspect is implemented.
Compared with the prior art, the embodiment of the application has the advantages that: acquiring actual operation data of industrial equipment to be analyzed in a preset analysis period; and acquiring standard state operation data of the industrial equipment, and calculating the state estimation information according to a preset state estimation rule, the actual operation data and the standard state operation data. According to the scheme, the deviation estimation information is obtained through calculation of the preset deviation estimation rule, the difference between the actual operation state and the ideal operation state is quantized, and therefore the user of the industrial equipment can visually know the current operation state of the industrial equipment.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an analysis method for skewness estimation information according to a first embodiment of the present application;
fig. 2 is a schematic flowchart of a refinement at S103 in a method for analyzing skewness estimation information according to a first embodiment of the present application;
fig. 3 is a schematic diagram of an analysis apparatus for skewness estimation information according to a second embodiment of the present application;
fig. 4 is a schematic diagram of an analysis apparatus for skewness estimation information according to a third embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
Referring to fig. 1, fig. 1 is a schematic flow chart of an analysis method of skew estimation information according to a first embodiment of the present application. An execution subject of the analysis method for the skewed state estimation information in this embodiment is a device having an analysis function of the skewed state estimation information, for example, a server. The analysis method of the skewness estimation information shown in fig. 1 may include:
s101: acquiring actual operation data of industrial equipment to be analyzed in a preset analysis period; the actual operation data comprises actual parameter data corresponding to at least one analysis parameter.
In an actual industrial site, various industrial devices may exist, and various industrial scenes may be generated. Ideally, it is desirable that the industrial equipment always operates in a relatively perfect "ideal state", which is named as "standard state" in this embodiment, and the standard state may be defined as a standard operating range of other relevant parameters that the customer considers to be in a certain set value. When the industrial equipment is operated, a user wants the industrial equipment to be in an ideal operation state, for example, a 32KW variable frequency compressor, the ideal operation state of full load (100% load) operation is as follows: the output gas pressure should be Z18Kg/cm2, gas temperature Z246 ℃ and the flow rate is Z339Nm3/Hr, the energy consumption being Z per hour436 KWHr. However, when the industrial equipment is actually operated, there may be a deviation between an actual operation state and an ideal operation state of the industrial equipment due to the industrial equipment itself or due to an external environment. Possibly because the industrial equipment itself needs to be overhauled, for example the carbon deposit in the boiler increases; or the device is subject to some external fluctuation, or the device has problems when in use, such as the fuel burned by a natural gas boiler, the natural gas concentration does not reach the standard and other non-industrial equipment self problems, so that the equipment is not on the standardAnd (5) quasi-state operation. This biased state is called "biased state" or "biased state". In fact, "skew" is a normal state.
In this embodiment, the deviation between the actual operation state and the ideal operation state of the industrial equipment is quantified, and the deviation between the actual operation state and the ideal operation state of the industrial equipment is intuitively reflected by calculating the quantified result, so that a user of the industrial equipment can know whether the current operation state is the ideal state or not, and how much the current operation state deviates from the ideal state.
The method comprises the steps that the equipment obtains actual operation data of the industrial equipment to be analyzed in a preset analysis period, wherein the operation data comprises actual parameter data corresponding to at least one analysis parameter.
The device can determine the industrial equipment to be analyzed according to the selection instruction of a user, for example, a methane power station, and the main equipment comprises: one marsh gas pressurizing and purifying device and three marsh gas generators. The marsh gas purification and pressurization equipment purifies, filters and pressurizes marsh gas extracted from the marsh gas tank, and then conveys the marsh gas to a marsh gas generator for power generation. In addition to the four devices, there are some meters which are used to detect the flow rate, pressure and temperature of the marsh gas before and after purification and pressurization, as well as the concentration of the marsh gas, the flow rate of the marsh gas delivered to each generator, the electricity generated by each generator and the electricity generated by the whole power station. In this industrial scenario, the user may select a biogas pressurizing and purifying device as the device to be analyzed, or the user may select a biogas generator as the device to be analyzed.
The device may store a preset analysis period in advance, and the device may also determine the preset analysis period according to the analysis period setting instruction, which is not limited herein. The equipment acquires actual operation data of the industrial equipment in a preset analysis period. The preset analysis period may be set according to the actual operation time of the industrial device, for example, the preset analysis period may be set to one hour, and then the device acquires the actual operation data of the industrial device within one hour.
The actual operation data is the operation of the industrial equipmentReal-time data, the actual operation data including actual parameter data corresponding to at least one analysis parameter. The analysis parameters are the type of parameters, such as temperature, pressure, flow, energy consumption, etc., of the industrial plant in operation. The actual parameter data corresponding to each analysis parameter is the data corresponding to the analysis parameter in the preset analysis period. For example, when the analysis parameter is temperature, the actual parameter data corresponding to the analysis parameter is the value of the temperature in the preset analysis period. The actual operation data may include actual parameter data corresponding to a plurality of analysis parameters, for example, the actual operation data may include actual output gas pressure of the compressor in a preset analysis period, gas temperature in the preset analysis period, flow rate in the preset analysis period, and energy consumption in the preset analysis period. Specifically, the compressor actual output gas pressure (X)1) Gas temperature (X)2) Flow rate (X)3) Energy consumption (X)4) The actual operating data may then be represented as X (t) ═ X1(t),X2(t),X3(t),X4(t)|t＝t0,t1,t2,…,tn}. Wherein t is a preset analysis period.
According to the representation method in the above example, it can be found that the representation common to the actual operation data may be X (t) { X1(t),X2(t),X3(t),…,Xn(t)|t＝t0,t1,t2,…,tn}，Xn(t) is actual parameter data corresponding to the nth analysis parameter, and X (t) is expressed as actual operation data.
S102: acquiring standard state operation data of the industrial equipment; the standard state operation data comprises standard state parameter data corresponding to the analysis parameters.
The equipment acquires standard state operation data of the industrial equipment, wherein the standard state operation data comprises standard state parameter data corresponding to the analysis parameters. Since the above mentioned standard state may be defined as the standard operating range of other relevant parameters that the customer considers to be in a certain set value. The industrial equipment can have a plurality of set values, so that one industrial equipment can have a plurality of standard states. For example, a 32KW inverter compressor is standard in several cases:
standard state a: the standard conditions at full (100% load) operation are: the output gas pressure should be Z18Kg/cm2, gas temperature Z246 ℃ and the flow rate is Z339Nm3/Hr, the energy consumption being Z per hour4＝36KWHr；
Standard state B: the standard conditions at full (80% load) operation are: the output gas pressure should be Z17Kg/cm2, gas temperature Z243 ℃ and the flow rate is Z330Nm3/Hr, energy consumption Z per hour4＝31KWHr；
Standard state C: the standard conditions at full (60% load) operation are: the output gas pressure should be Z16.5Kg/cm2, gas temperature Z243 ℃ and the flow rate is Z324Nm3/Hr, the energy consumption is Z per hour4＝24KWHr。
Therefore, the standard-state operation data of the industrial equipment acquired by the equipment is the standard-state operation data of the currently set industrial equipment. Before acquiring the standard-state operation data of the industrial equipment, the standard state of the industrial equipment can be set, so that the standard-state operation data of the industrial equipment can be determined.
In one embodiment, before obtaining the standard-state operation data of the industrial equipment, the method may include: and acquiring a standard state selection instruction, and searching standard state operation data corresponding to the standard state selection instruction from a preset storage space. In this embodiment, the user may not specifically set the standard state operating data, but only needs to select the standard state, and the device stores the standard state operating data corresponding to different standard state selection instructions in association with each other. The user can select a standard state on the equipment, so that a standard state selection instruction is generated, the equipment obtains the standard state selection instruction, and standard state operation data corresponding to the standard state selection instruction is searched from a preset storage space.
In another embodiment, before obtaining the standard-state operation data of the industrial equipment, the method may include: acquiring a standard state setting instruction, wherein the standard state setting instruction comprises one or more standard state operation data; and storing the one or more standard state operation data into a preset storage space. In this implementation, a user may specifically set the standard state operation data, the user inputs the standard state operation data into the device, and a standard state setting instruction is generated according to the standard state operation data input by the user, where the standard state setting instruction includes one or more standard state operation data. When the device acquires the standard state setting instruction, one or more standard state operation data are stored in a preset storage space.
S103: and calculating the state estimation information according to a preset state estimation rule, the actual operation data and the standard state operation data.
The device is pre-stored with a preset skewness estimation rule, the preset skewness estimation rule is used for calculating skewness estimation information, and the skewness estimation information is the difference between actual operation data and standard operation data. The preset skewness estimation rule only needs to calculate a difference value between actual operation data and standard state operation data, a plurality of similarity algorithms can be adopted to calculate skewness estimation information, the actual operation data and the standard state operation data can be respectively mapped into graphs, the area difference between the two images is calculated, and the like, and the preset skewness estimation rule is not limited here.
In the following, the calculation of the skewness estimation information by using the average euclidean distance is taken as an example, and how to calculate the skewness estimation information is specifically described. S103 may include S1031 to S1032, and as shown in fig. 2, S1031 to S1032 are specifically as follows:
s1031: and calculating the average Euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data.
In the present embodiment, the euclidean distance is used to calculate the skew estimation information. Euclidean metric, also known as euclidean distance, is a commonly used definition of distance, referring to the true distance between two points in an m-dimensional space, or the natural length of a vector (i.e., the distance of the point from the origin). The euclidean distance in two and three dimensions is the actual distance between two points. Euclidean distance is a commonly used measure of distance between degrees of difference. The equipment calculates the average Euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data. The average euclidean distance information is to calculate an average value for the euclidean distance information.
Further, S1031 may include: and calculating first average Euclidean distance information between the actual operation data and the standard state operation data and second average Euclidean distance information of the actual parameter data and the standard state parameter data corresponding to each analysis parameter according to the actual operation data and the standard state operation data. In this embodiment, the average euclidean distance information between the operation data and the current standard state operation data includes first average euclidean distance information between the actual operation data and the standard state operation data, and second average euclidean distance information between the actual parameter data and the standard state parameter data corresponding to each analysis parameter. For example, X represents actual operational data, Z represents standard state operational data,
representing the first average Euclidean distance value; xiRepresenting actual operating data, Z, corresponding to the ith analysis parameteriIndicating standard state operation data corresponding to the ith analysis parameter,
representing the second average Euclidean distance value; 1,2,3.
S1032: and calculating the bias estimation information according to the average Euclidean distance information and a preset bias estimation function.
The device stores a preset skewness estimation function in advance, and the preset skewness estimation function is used for calculating skewness estimation information. The dependent variable of the preset skewness estimation function is average Euclidean distance information, and the independent variable of the preset skewness estimation function is skewness estimation information. And the equipment calculates the bias estimation information according to the average Euclidean distance information and a preset bias estimation function.
Further, the preset skewness estimation function is:
wherein the Dev estimate represents the skewed estimate information; a represents a coefficient; a represents a preset value or a ratio between the number of actual parameter data corresponding to the analysis parameter and the number of the analysis parameter; x represents the actual operating data; z represents the standard state operation data; xiRepresenting actual operation data corresponding to the ith analysis parameter; ziRepresenting standard state operation data corresponding to the ith analysis parameter;
representing the first average Euclidean distance value;
representing the second average Euclidean distance value; 1,2,3.
It should be understood that the above formula is only an example of the preset skewness estimation function, and the modification of the function and the addition of some coefficients or constants to the formula are all within the protection scope of the present embodiment.
It is understood that the smaller the deviation estimation information, the closer the actual operation state of the current industrial equipment is to the ideal state, and if the actual operation state of the current industrial equipment is close to the ideal state, the deviation estimation information should be close to 0.
In the embodiment of the application, actual operation data of the industrial equipment to be analyzed in a preset analysis period is obtained; and acquiring standard state operation data of the industrial equipment, and calculating the state estimation information according to a preset state estimation rule, the actual operation data and the standard state operation data. According to the scheme, the deviation estimation information is obtained through calculation of the preset deviation estimation rule, the difference between the actual operation state and the ideal operation state is quantized, and therefore the user of the industrial equipment can visually know the current operation state of the industrial equipment.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Referring to fig. 3, fig. 3 is a schematic diagram of an analysis apparatus for skew estimation information according to a second embodiment of the present application. The units included are used to perform the steps in the corresponding embodiments of fig. 1-2. Please refer to the related description of the embodiments in fig. 1-2. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 3, the analysis device 3 of the skew estimation information includes:
a first obtaining unit 310, configured to obtain actual operation data of an industrial device to be analyzed in a preset analysis period; the actual operation data comprises actual parameter data corresponding to at least one analysis parameter;
a second obtaining unit 320, configured to obtain standard-state operation data of the industrial device; the standard state operation data comprises standard state parameter data corresponding to the analysis parameters;
the first calculating unit 330 is configured to calculate the skew estimation information according to a preset skew estimation rule, the actual operation data, and the standard operation data.
Further, the first calculating unit 330 includes:
the second calculation unit is used for calculating the average Euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data;
and the third calculating unit is used for calculating the skewness estimation information according to the average Euclidean distance information and a preset skewness estimation function.
Further, the second calculating unit is specifically configured to:
and calculating first average Euclidean distance information between the actual operation data and the standard state operation data and second average Euclidean distance information of the actual parameter data and the standard state parameter data corresponding to each analysis parameter according to the actual operation data and the standard state operation data.
Further, the preset skewness estimation function is:
wherein the Dev estimate represents the skewed estimate information; a represents a coefficient; x represents the actual operating data; z represents the standard state operation data; xiRepresenting actual operation data corresponding to the ith analysis parameter; ziRepresenting standard state operation data corresponding to the ith analysis parameter;
representing the first average Euclidean distance value;
representing the second average Euclidean distance value; 1,2,3.
Further, the analysis device 3 for the estimated skewness information further includes:
the first processing unit is used for acquiring a standard state selection instruction and searching standard state operation data corresponding to the standard state selection instruction from a preset storage space.
Further, the analysis device 3 for the estimated skewness information further includes:
the third acquisition unit is used for acquiring a standard state setting instruction, and the standard state setting instruction comprises one or more standard state operation data;
and the second processing unit is used for storing the one or more standard state operation data into a preset storage space.
Fig. 4 is a schematic diagram of an analysis apparatus for skewness estimation information according to a third embodiment of the present application. As shown in fig. 4, the analysis device 4 of the skew estimation information of the embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in said memory 41 and executable on said processor 40, such as an analysis program of the skew estimation information. The processor 40, when executing the computer program 42, implements the steps in the above-described embodiments of the analysis method for the skewed state estimation information, such as the steps 101 to 103 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 310 to 330 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions for describing the execution process of the computer program 42 in the analysis device 4 of the skewness estimation information. For example, the computer program 42 may be divided into a first acquisition unit, a second acquisition unit, and a first calculation unit, and each unit has the following specific functions:
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring actual operation data of the industrial equipment to be analyzed in a preset analysis period; the actual operation data comprises actual parameter data corresponding to at least one analysis parameter;
the second acquisition unit is used for acquiring the standard-state operation data of the industrial equipment; the standard state operation data comprises standard state parameter data corresponding to the analysis parameters;
and the first calculation unit is used for calculating the state deviation estimation information according to a preset state deviation estimation rule, the actual operation data and the standard state operation data.
The analysis device of the skewness estimation information may include, but is not limited to, a processor 40 and a memory 41. It will be understood by those skilled in the art that fig. 4 is merely an example of the analysis device 4 for the estimated-skew information, and does not constitute a limitation of the analysis device 4 for the estimated-skew information, and may include more or less components than those shown, or some components in combination, or different components, for example, the analysis device for the estimated-skew information may further include an input-output device, a network access device, a bus, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the analysis device 4 of the estimated skewness information, such as a hard disk or a memory of the analysis device 4 of the estimated skewness information. The memory 41 may also be an external storage device of the analysis device 4 for the estimated state deviation information, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the analysis device 4 for the estimated state deviation information. Further, the analysis device 4 of the estimated skewness information may also include both an internal storage unit and an external storage device of the analysis device 4 of the skewed state information. The memory 41 is used to store the computer program and other programs and data required by the analysis device of the skew estimation information. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
An embodiment of the present application further provides a network device, where the network device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor implementing the steps of any of the various method embodiments described above when executing the computer program.
The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned method embodiments.
The embodiments of the present application provide a computer program product, which when running on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method for analyzing skewness estimation information is characterized by comprising the following steps:
acquiring actual operation data of industrial equipment to be analyzed in a preset analysis period; the actual operation data comprises actual parameter data corresponding to at least one analysis parameter;
acquiring standard state operation data of the industrial equipment; the standard state operation data comprises standard state parameter data corresponding to the analysis parameters;
and calculating the state estimation information according to a preset state estimation rule, the actual operation data and the standard state operation data.
2. The method according to claim 1, wherein the calculating the estimated skewness information according to the preset skewness estimation rule, the operation data and the current standard-state operation data includes:
calculating the average Euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data;
and calculating the bias estimation information according to the average Euclidean distance information and a preset bias estimation function.
3. The method for acquiring the skew estimation information according to claim 2, wherein the calculating the average euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data includes:
and calculating first average Euclidean distance information between the actual operation data and the standard state operation data and second average Euclidean distance information of the actual parameter data and the standard state parameter data corresponding to each analysis parameter according to the actual operation data and the standard state operation data.
4. The method as claimed in claim 3, wherein the predetermined bias estimation function is:
wherein the Dev estimate represents the skewed estimate information; a represents a coefficient; x represents the actual operating data; z represents the standard state operation data; xiRepresenting actual operation data corresponding to the ith analysis parameter; ziRepresenting standard state operation data corresponding to the ith analysis parameter;
representing the first average Euclidean distance value;
to representThe second average Euclidean distance value; 1,2,3.
5. The method for acquiring the skew estimation information according to claim 1, further comprising, before the acquiring the standard-state operation data of the industrial equipment:
and acquiring a standard state selection instruction, and searching standard state operation data corresponding to the standard state selection instruction from a preset storage space.
6. The method for acquiring the skew estimation information according to claim 1, further comprising, before the acquiring the standard-state operation data of the industrial equipment:
acquiring a standard state setting instruction, wherein the standard state setting instruction comprises one or more standard state operation data;
and storing the one or more standard state operation data into a preset storage space.
7. An apparatus for analyzing skew estimation information, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring actual operation data of the industrial equipment to be analyzed in a preset analysis period; the operation data comprises actual parameter data corresponding to at least one analysis parameter;
the second acquisition unit is used for acquiring the standard-state operation data of the industrial equipment; the standard state operation data comprises standard state parameter data corresponding to the analysis parameters;
and the first calculation unit is used for calculating the state deviation estimation information according to a preset state deviation estimation rule, the actual operation data and the standard state operation data.
8. The apparatus for acquiring skew estimation information according to claim 7, wherein the first calculation unit includes:
the second calculation unit is used for calculating the average Euclidean distance information between the operation data and the current standard state operation data according to the operation data and the current standard state operation data;
and the third calculating unit is used for calculating the skewness estimation information according to the average Euclidean distance information and a preset skewness estimation function.
9. An apparatus for acquiring skew estimation information, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.
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