CN116298623A - New energy equipment performance test-based method, device, equipment and storage medium - Google Patents
New energy equipment performance test-based method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to equipment detection technology, and discloses a method, a device, equipment and a storage medium for testing the equipment performance of new energy, wherein the method comprises the following steps: acquiring the testability parameters of the new energy equipment, and judging the fault mode of the new energy equipment according to the testability parameters; acquiring a test method, and establishing a correlation matrix according to the test method and a fault mode; calculating fault isolation weights according to the correlation matrix, and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix; selecting target test points of new energy equipment according to the first sub-matrix and the second sub-matrix, and establishing a testability model according to the target test points and the fault isolation weight; and obtaining the new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a test result. According to the invention, the testability model is built through the test points and the fault isolation weights, and the testability model is used for testing the new energy equipment, so that the efficiency of testing the new energy equipment can be improved.
Description
Technical Field
The present invention relates to the field of device detection technologies, and in particular, to a method, an apparatus, a device, and a storage medium for testing the performance of a new energy device.
Background
At present, the development goal of novel power system equipment taking new energy as a main body is to promote the further development of new energy power generation technology so as to relieve environmental protection pressure and ensure energy safety. However, as the grid-connected scale of new energy is continuously expanded, due to the self-generating characteristic, especially the new energy power station mainly comprises power electronic equipment, the operating characteristic of the electronic equipment is greatly different from that of the traditional energy power station, and the operation of the power grid is obviously impacted. Therefore, in order to cope with the power grid operation problem after the large-scale access of the new energy, the performance of the station power control equipment equipped with the new energy power station needs to be tested and verified, but is limited by the power grid safety constraint and the constraint of the test working condition, and the on-site actual test is difficult to comprehensively detect the performance of the new energy station power control system.
In addition, due to uncertainty of new energy and difference of systems where the power station is located, conventionally, station power control equipment which only performs function checking test before leaving factory cannot well meet actual operation requirements, in order to ensure reliability of equipment, comprehensive and systematic tests on several functional domains and networks related to the control system are required, but the number of related test cases is tens of thousands or even tens of thousands, if a conventional test method is adopted, problems of long period, increase of labor cost and the like are necessarily faced, and in order to improve test efficiency, a testability model is required to help products to judge working states timely and accurately and isolate internal faults. In summary, the problem of low efficiency of testing the performance of the new energy equipment exists in the prior art.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium based on new energy equipment performance test, and mainly aims to solve the problem of low new energy equipment performance test efficiency.
In order to achieve the above object, the present invention provides a new energy equipment based method, comprising:
acquiring a testability parameter of new energy equipment, and judging a fault mode of the new energy equipment according to the testability parameter;
acquiring a test method, and establishing a correlation matrix according to the test method and the fault mode;
calculating fault isolation weights according to the correlation matrix, and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix;
selecting a target test point of the new energy equipment according to the first sub-matrix and the second sub-matrix, and establishing a testability model according to the target test point and the fault isolation weight;
and obtaining new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a test result.
Optionally, the determining the fault mode of the new energy device according to the testability parameter includes:
Determining a detection object according to the testability parameter, and dividing the detection object to obtain a composition unit;
acquiring the input and output of the constituent units, and carrying out relationship analysis on each constituent unit to obtain a dependency relationship;
and searching a fault mode corresponding to the input and the output in a preset fault mode library according to the dependency relationship.
Optionally, the establishing a correlation matrix according to the test method and the fault mode includes:
establishing a correlation table by taking the test method as a row vector and the fault mode as a column vector, and judging whether a logic relationship exists between the test method and the fault mode;
when a logical relationship exists between the test method and the fault mode, updating parameters in the correlation table to be 'yes';
when no logic relation exists between the test method and the fault mode, updating parameters in the correlation table to be NO;
simplifying the correlation table until all the test methods and the fault modes are judged and updated, and obtaining a correlation matrix;
the correlation matrix is expressed as:
D＝[d ij ] m×n
Wherein D represents the correlation matrix, D ij And (3) representing elements of an ith row and a jth column in the correlation table, wherein m represents the number of the test methods, and n represents the number of the fault modes.
Optionally, the calculating the fault isolation weight according to the correlation matrix includes:
randomly selecting one test point from the correlation matrix as a fault test point, and respectively calculating a first fault detection weight of a detection point corresponding to the fault test point and a second fault isolation weight of an isolation point corresponding to the fault test point by using the correlation matrix;
the first fault detection weight of the detection point is expressed as:
wherein W is FDj1 Represents the first fault detection weight, d ij An element representing an ith row and a jth column in the correlation table, a representing a total number of rows in the correlation table;
the second fault isolation weight of the isolation point is expressed as:
wherein W is FI Representing the second fault isolation weight,
indicating the number of "1" as the j-th column parameter in the correlation table,/>
the number of the j-th column parameter of the correlation table is 0, Z represents the total number of the correlation tables, and k represents the k-th correlation table;
And carrying out simultaneous calculation according to the preset fault rate, the first fault detection weight and the second fault isolation weight to obtain the fault isolation weight.
Optionally, the performing simultaneous calculation according to the preset fault rate, the first fault detection weight and the second fault isolation weight to obtain a fault isolation weight includes:
calculating a fault occurrence frequency ratio by using the fault rate, and updating the first fault detection weight by using the fault occurrence frequency ratio to obtain a target fault detection weight;
the failure occurrence frequency ratio is expressed as:
wherein alpha is c Represents the failure occurrence frequency ratio of the c-th constituent unit, lambda c Representing the failure rate of the c-th constituent unit, l representing the total number of the constituent units;
the target fault detection weight is expressed as:
wherein W is FDj Representing the target fault detection weight, alpha c Represents the failure occurrence frequency ratio of the c-th constituent unit, d ij An element representing an ith row and a jth column in the correlation table, a representing a total number of rows in the correlation table;
the fault occurrence frequency ratio, the target fault detection weight and the second fault isolation weight are combined to obtain a fault isolation weight;
The fault isolation weight is expressed as:
wherein W represents the fault isolation weight, alpha c Represents the failure occurrence frequency ratio of the c-th constituent unit, d ij And representing the elements of the ith row and the jth column in the correlation table, Z represents the total number of the correlation tables, and k represents the kth correlation table.
Optionally, the dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix includes:
acquiring a column matrix corresponding to the correlation matrix, and judging whether elements in the column matrix are zero or not;
when the element in the column matrix is zero, generating a first submatrix according to the element in the row corresponding to the column matrix;
the first submatrix is expressed as:
wherein,,
representing the first submatrix, p represents a row corresponding to the element in the column matrix, d represents the element, e represents the number of zero elements in the column matrix, and f represents the column matrix;
when the element in the column matrix is not zero, generating a second sub-matrix according to the element in the row corresponding to the column matrix;
the second sub-matrix is expressed as:
wherein,,
representation ofAnd the second submatrix, p represents a row corresponding to the element in the column matrix, d represents the element, m represents the total number of elements in the column matrix, e represents the number of zero elements in the column matrix, and f represents the column matrix.
Optionally, the testing the new energy device to be detected according to the testability model, to obtain a test result, includes:
analyzing the energy equipment to be detected by using the testability model to obtain equipment test points;
calculating fault isolation weights of the equipment test points by using the testability model to obtain target fault isolation weights, and judging whether the target fault isolation weights accord with preset standard values or not;
when the target fault isolation weight accords with the standard value, judging that the new energy equipment to be detected accords with the standard;
and when the target fault isolation weight does not accord with the standard value, judging that the new energy equipment to be detected does not accord with the standard.
In order to solve the above problems, the present invention also provides a device for testing the performance of new energy equipment, which comprises:
the fault mode judging module is used for acquiring the testability parameters of the new energy equipment and judging the fault mode of the new energy equipment according to the testability parameters;
the correlation matrix establishment module is used for acquiring a test method and establishing a correlation matrix according to the test method and the fault mode;
The correlation matrix dividing module is used for calculating fault isolation weights according to the correlation matrix and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix;
the testing model building module is used for selecting a target test point of the new energy equipment according to the first submatrix and the second submatrix and building a testing model according to the target test point and the fault isolation weight;
and the new energy equipment to be detected testing module is used for acquiring new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a testing result.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of new energy device based testing described above.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one computer program that is executed by a processor in an electronic device to implement the method for new energy based device performance test described above.
The embodiment of the invention can accurately judge the fault mode of the new energy equipment through the testability parameters; the correlation matrix is established through the test method and the fault mode, so that the data can be more structured, and the data management efficiency is improved; the accuracy of the fault detection weight can be improved by calculating the fault detection weight through the correlation matrix; by dividing the correlation matrix, the calculated amount can be reduced, so that the calculation efficiency is improved; the first sub-matrix and the second sub-matrix can accurately select the target test point of the new energy equipment, and a testability model is established by utilizing the target test point and the fault detection weight, so that the new energy equipment to be detected can be tested by utilizing the testability model, the test period can be shortened, and the test efficiency is improved. Therefore, the method, the device, the equipment and the storage medium based on the new energy equipment performance test can solve the problem of low new energy equipment performance test efficiency.
Drawings
FIG. 1 is a flow chart of a method for testing based on new energy equipment according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method for determining a failure mode of a new energy device according to a testability parameter according to an embodiment of the invention;
FIG. 3 is a schematic flow chart of a test model established according to a target test point and a fault isolation weight according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of an apparatus for testing the performance of a new energy device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the new energy device performance test method according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a new energy equipment performance test-based method. The execution subject of the new energy equipment performance test-based method includes, but is not limited to, at least one of a server, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the new energy device performance test-based method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a new energy equipment performance test-based method according to an embodiment of the invention is shown. In this embodiment, the method based on the new energy equipment performance test includes:
s1, acquiring a testability parameter of the new energy equipment, and judging a fault mode of the new energy equipment according to the testability parameter.
In the embodiment of the invention, the new energy equipment comprises solar energy technical equipment, biomass energy technical equipment, wind energy technical equipment, geothermal energy technical equipment, chemical power supply, new energy automobiles, ocean energy technical equipment and the like; the testability parameters comprise false alarm rate, fault detection rate, fault isolation rate and the like.
Referring to fig. 2, in the embodiment of the present invention, the determining, according to the testability parameter, the failure mode of the new energy device includes:
s21, determining a detection object according to the testability parameter, and dividing the detection object to obtain a composition unit;
s22, acquiring input and output of the constituent units, and carrying out relationship analysis on each constituent unit to obtain a dependency relationship;
s23, searching a fault mode corresponding to the input and the output in a preset fault mode library according to the dependency relationship.
In the embodiment of the present invention, the testability parameter includes a failure detection rate, a failure isolation rate, and the like, where the failure detection rate refers to a ratio of a first number of constituent units of the detected detection object to a total number of constituent units of the detection object, and may be expressed by the following formula:
wherein FDR represents the fault detection rate, U FD A first component unit number, U, representing the detection object T Representing the total number of constituent units of the detection object;
the fault isolation rate refers to a ratio between the number of second constituent units of the isolated detection object and the number of first constituent units of the detected detection object, and can be expressed by the following formula:
wherein FIR represents the fault isolation rate, U FI A second number of constituent units representing the detection object, U FD A first number of constituent units representing the detection object.
In the embodiment of the invention, a target testability parameter with the testability parameter similarity smaller than 5% is found from a preset detection object library according to the testability parameter, so that a detection object corresponding to the target testability parameter is obtained; the detection object library comprises detection objects and testability parameters corresponding to the detection objects; dividing according to the structure of the detection object to obtain corresponding constituent units, wherein the constituent units comprise, but are not limited to, interfaces, an identification module, a measurement module and the like; and determining input and output according to the interfaces of the component units, and analyzing the association with other units according to the content by taking the first unit as a base point to obtain the dependency relationship.
In the embodiment of the invention, the fault mode library comprises a plurality of fault modes, dependency relations among constituent units, input and output; encoding the dependency relationship among the constituent units, searching the input and the output of the constituent units according to the encoding, acquiring a historical fault mode according to the input and the output, correspondingly analyzing a fault isolation rate, and taking the historical fault mode with the fault isolation rate difference less than 10% as a target fault mode, wherein the fault mode comprises but is not limited to abnormal vibration, abrasion, fatigue, cracks, cracking, excessive deformation, corrosion, stripping, leakage, blockage, relaxation, melting, evaporation, insulation degradation, abnormal sound and grease degradation.
S2, acquiring a test method, and establishing a correlation matrix according to the test method and the fault mode.
In the embodiment of the invention, the testing method comprises a function test, a performance test and an interface test, wherein the function test is also called a black box test; the performance test includes a load test and a pressure test.
In the embodiment of the present invention, the establishing a correlation matrix according to the test method and the failure mode includes:
Establishing a correlation table by taking the test method as a row vector and the fault mode as a column vector, and judging whether a logic relationship exists between the test method and the fault mode;
when a logical relationship exists between the test method and the fault mode, updating parameters in the correlation table to be 'yes';
when no logic relation exists between the test method and the fault mode, updating parameters in the correlation table to be NO;
simplifying the correlation table until all the test methods and the fault modes are judged and updated, and obtaining a correlation matrix;
the correlation matrix is expressed as:
D＝[d ij ] m×n
wherein D represents the correlation matrix, D ij And (3) representing elements of an ith row and a jth column in the correlation table, wherein m represents the number of the test methods, and n represents the number of the fault modes.
In the embodiment of the invention, a preset calculation method, a list method and the like can be adopted to judge whether a logic relationship exists between the test method and the fault mode; when a logical relationship exists between the test method and the fault mode, updating the parameters in the correlation table to be 'yes', wherein the parameters can be represented by a numeral '1'; when no logic relation exists between the test method and the fault mode, updating the parameters in the correlation table to be 'no', wherein the parameters can be represented by a number of '0'; simplifying the correlation table refers to merging the parameter overlaps in the correlation table, so that the obtained correlation matrix is more accurate.
S3, calculating fault isolation weights according to the correlation matrix, and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix.
In an embodiment of the present invention, the calculating the fault isolation weight according to the correlation matrix includes:
randomly selecting one test point from the correlation matrix as a fault test point, and respectively calculating a first fault detection weight of a detection point corresponding to the fault test point and a second fault isolation weight of an isolation point corresponding to the fault test point by using the correlation matrix;
the first fault detection weight of the detection point is expressed as:
wherein W is FDj1 Represents the first fault detection weight, d ij An element representing an ith row and a jth column in the correlation table, a representing a total number of rows in the correlation table;
the second fault isolation weight of the isolation point is expressed as:
wherein W is FI Representing the second fault isolation weight,
representing the number of "1" as the j-th column parameter in the correlation table, ">
The number of the j-th column parameter of the correlation table is 0, Z represents the total number of the correlation tables, and k represents the k-th correlation table;
and carrying out simultaneous calculation according to the preset fault rate, the first fault detection weight and the second fault isolation weight to obtain the fault isolation weight.
In the embodiment of the present invention, the performing simultaneous computation according to the preset fault rate, the first fault detection weight and the second fault isolation weight to obtain a fault isolation weight includes:
calculating a fault occurrence frequency ratio by using the fault rate, and updating the first fault detection weight by using the fault occurrence frequency ratio to obtain a target fault detection weight;
the failure occurrence frequency ratio is expressed as:
wherein alpha is c Represents the failure occurrence frequency ratio of the c-th constituent unit, lambda c Representing the failure rate of the c-th constituent unit, l representing the total number of the constituent units;
the target fault detection weight is expressed as:
wherein W is FDj Representing the target fault detection weight, alpha c Represents the failure occurrence frequency ratio of the c-th constituent unit, d ij An element representing an ith row and a jth column in the correlation table, a representing a total number of rows in the correlation table;
the fault occurrence frequency ratio, the target fault detection weight and the second fault isolation weight are combined to obtain a fault isolation weight;
the fault isolation weight is expressed as:
wherein W represents the fault isolation weight, alpha c Represents the failure occurrence frequency ratio of the c-th constituent unit, d ij Elements representing the jth column of the f-th row of the correlation table, Z represents the total number of the correlation tables, and k represents the kth correlation table。
In the embodiment of the present invention, the dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix includes:
acquiring a column matrix corresponding to the correlation matrix, and judging whether elements in the column matrix are zero or not;
when the element in the column matrix is zero, generating a first submatrix according to the element in the row corresponding to the column matrix;
the first submatrix is expressed as:
wherein,,
representing the first submatrix, p represents a row corresponding to the element in the column matrix, d represents the element, e represents the number of zero elements in the column matrix, and f represents the column matrix;
when the element in the column matrix is not zero, generating a second sub-matrix according to the element in the row corresponding to the column matrix;
the second sub-matrix is expressed as:
wherein,,
representing the second submatrix, p represents a row corresponding to the element in the column matrix, d represents the element, m represents the total number of elements in the column matrix, e represents the number of elements in the column matrix which are zero, and f represents the column matrix.
In the embodiment of the invention, when the element in the column matrix is zero, the element is extracted and combined in the row corresponding to the column matrix, so as to form a first submatrix; when the elements in the column matrix are not zero, extracting and combining the elements in the row corresponding to the column matrix, so as to form a second submatrix; the manner of combining includes, but is not limited to, adding.
S4, selecting a target test point of the new energy equipment according to the first submatrix and the second submatrix, and establishing a testability model according to the target test point and the fault isolation weight.
In the embodiment of the invention, a first test point is randomly selected from the new energy equipment, when the number of lines of the first submatrix is not zero, a target fault detection weight of the first test point is calculated, the largest target fault detection weight is selected as a second test point, and then a column matrix is segmented according to the correspondence of the second test point until the selected test point does not contain zero elements, namely, the selected test point only contains the second submatrix, and the test point corresponding to the second submatrix is used as the target test point.
Referring to fig. 3, in the embodiment of the present invention, the establishing a testability model according to the target test point and the fault isolation weight includes:
S31, acquiring a testability requirement corresponding to the target test point, and formulating a testability scheme according to the testability requirement;
s32, analyzing the fault isolation weight to obtain a hardware report;
s33, generating a testability model according to the testability scheme and the hardware report.
In the embodiment of the invention, the hardware report can be a hardware FMECA (failure mode and impact analysis and hazard analysis) report; firstly, according to the testability scheme and the hardware report, determining equipment composition and corresponding function list, listing composition conditions and input and output definitions, connecting the input and output by using a port, determining the connection between a fault mode and the input and output and the influence generated by the fault mode, importing test information into a model, and defining corresponding test positions and fault influences, thereby obtaining the testability model.
S5, obtaining new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a test result.
In the embodiment of the invention, the new energy equipment to be detected comprises, but is not limited to, solar energy technical equipment, biomass energy technical equipment, wind energy technical equipment, geothermal energy technical equipment, chemical power supply, new energy automobiles and ocean energy technical equipment.
In the embodiment of the present invention, the testing the new energy device to be detected according to the testability model, to obtain a testing result, includes:
analyzing the energy equipment to be detected by using the testability model to obtain equipment test points;
calculating fault isolation weights of the equipment test points by using the testability model to obtain target fault isolation weights, and judging whether the target fault isolation weights accord with preset standard values or not;
when the target fault isolation weight accords with the standard value, judging that the new energy equipment to be detected accords with the standard;
and when the target fault isolation weight does not accord with the standard value, judging that the new energy equipment to be detected does not accord with the standard.
In the embodiment of the invention, according to the structure and performance of the energy equipment to be detected, a historical detection point with the detection times more than 80% is found from the testability model and used as an equipment monitoring point of the energy equipment to be detected; calculating by using a fault isolation weight formula in the testability model to obtain a target isolation weight; the standard value is a preset value, for example, the standard value is set to 80, and when the target fault isolation weight is greater than or equal to 80, the new energy equipment to be detected meets the standard; and when the target fault isolation weight does not meet the standard, modifying the related parameters of the new energy equipment to be detected until the target fault isolation weight meets the standard.
The embodiment of the invention can accurately judge the fault mode of the new energy equipment through the testability parameters; the correlation matrix is established through the test method and the fault mode, so that the data can be more structured, and the data management efficiency is improved; the accuracy of the fault detection weight can be improved by calculating the fault detection weight through the correlation matrix; by dividing the correlation matrix, the calculated amount can be reduced, so that the calculation efficiency is improved; the first sub-matrix and the second sub-matrix can accurately select the target test point of the new energy equipment, and a testability model is established by utilizing the target test point and the fault detection weight, so that the new energy equipment to be detected can be tested by utilizing the testability model, the test period can be shortened, and the test efficiency is improved. Therefore, the new energy equipment performance testing method provided by the invention can solve the problem of low new energy equipment performance testing efficiency.
Fig. 4 is a functional block diagram of an apparatus based on a new energy equipment performance test according to an embodiment of the present invention.
The device 400 based on the new energy equipment performance test can be installed in electronic equipment. Depending on the implementation function, the apparatus 400 based on the new energy equipment performance test may include a failure mode determining module 401, a correlation matrix establishing module 402, a correlation matrix dividing module 403, a testability model establishing module 404, and a new energy equipment testing module 405 to be detected. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the failure mode determining module 401 is configured to obtain a testability parameter of a new energy device, and determine a failure mode of the new energy device according to the testability parameter;
the correlation matrix establishing module 402 is configured to obtain a test method, and establish a correlation matrix according to the test method and the fault mode;
the correlation matrix dividing module 403 is configured to calculate a fault isolation weight according to the correlation matrix, and divide the correlation matrix to obtain a first sub-matrix and a second sub-matrix;
the testability model establishing module 404 is configured to select a target test point of the new energy device according to the first sub-matrix and the second sub-matrix, and establish a testability model according to the target test point and the fault isolation weight;
the new energy equipment to be detected testing module 405 is configured to obtain new energy equipment to be detected, and test the new energy equipment to be detected according to the testability model to obtain a testing result.
In detail, each module in the device 400 based on the new energy equipment performance test in the embodiment of the present invention adopts the same technical means as the method based on the new energy equipment performance test in the drawings when in use, and can generate the same technical effects, which are not described herein.
Fig. 5 is a schematic structural diagram of an electronic device for implementing a method for testing the performance of a new energy device according to an embodiment of the present invention.
The electronic device 500 may comprise a processor 501, a memory 502, a communication bus 503 and a communication interface 504, and may further comprise a computer program stored in the memory 502 and executable on the processor 501, such as a program based on a new energy device capability test.
The processor 501 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and so on. The processor 501 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory 502 (e.g., executes a program based on a new energy device performance test, etc.), and invokes data stored in the memory 502 to perform various functions of the electronic device and process data.
The memory 502 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 502 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 502 may also be an external storage device of the electronic device in other embodiments, for example, a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like. Further, the memory 502 may also include both internal storage units and external storage devices of the electronic device. The memory 502 may be used not only to store application software installed in an electronic device and various types of data, such as codes of a program based on a new energy device property test, but also to temporarily store data that has been output or is to be output.
The communication bus 503 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable connected communication between the memory 502 and the at least one processor 501 etc.
The communication interface 504 is used for communication between the electronic device and other devices, including network interfaces and user interfaces. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Fig. 5 illustrates only an electronic device having components, and it will be appreciated by those skilled in the art that the configuration illustrated in fig. 5 is not limiting of the electronic device 500 and may include fewer or more components than illustrated, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 501 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The program stored in the memory 502 of the electronic device 500 and based on the new energy device performance test is a combination of a plurality of instructions, which when executed in the processor 501, can implement:
acquiring a testability parameter of new energy equipment, and judging a fault mode of the new energy equipment according to the testability parameter;
acquiring a test method, and establishing a correlation matrix according to the test method and the fault mode;
Calculating fault isolation weights according to the correlation matrix, and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix;
selecting a target test point of the new energy equipment according to the first sub-matrix and the second sub-matrix, and establishing a testability model according to the target test point and the fault isolation weight;
and obtaining new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a test result.
In particular, the specific implementation method of the above instruction by the processor 501 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.
Further, the modules/units integrated with the electronic device 500 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
acquiring a testability parameter of new energy equipment, and judging a fault mode of the new energy equipment according to the testability parameter;
acquiring a test method, and establishing a correlation matrix according to the test method and the fault mode;
calculating fault isolation weights according to the correlation matrix, and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix;
selecting a target test point of the new energy equipment according to the first sub-matrix and the second sub-matrix, and establishing a testability model according to the target test point and the fault isolation weight;
and obtaining new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a test result.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A method for testing the equipment performance of new energy, which is characterized by comprising the following steps:
Acquiring a testability parameter of new energy equipment, and judging a fault mode of the new energy equipment according to the testability parameter;
acquiring a test method, and establishing a correlation matrix according to the test method and the fault mode;
calculating fault isolation weights according to the correlation matrix, and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix;
selecting a target test point of the new energy equipment according to the first sub-matrix and the second sub-matrix, and establishing a testability model according to the target test point and the fault isolation weight;
and obtaining new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a test result.
2. The method for testing the performance of the new energy device according to claim 1, wherein the determining the failure mode of the new energy device according to the testability parameters comprises:
determining a detection object according to the testability parameter, and dividing the detection object to obtain a composition unit;
acquiring the input and output of the constituent units, and carrying out relationship analysis on each constituent unit to obtain a dependency relationship;
And searching a fault mode corresponding to the input and the output in a preset fault mode library according to the dependency relationship.
3. The method for testing the performance of the new energy equipment according to claim 1, wherein the establishing a correlation matrix according to the testing method and the fault mode comprises:
establishing a correlation table by taking the test method as a row vector and the fault mode as a column vector, and judging whether a logic relationship exists between the test method and the fault mode;
when a logical relationship exists between the test method and the fault mode, updating parameters in the correlation table to be 'yes';
when no logic relation exists between the test method and the fault mode, updating parameters in the correlation table to be NO;
simplifying the correlation table until all the test methods and the fault modes are judged and updated, and obtaining a correlation matrix;
the correlation matrix is expressed as:
D＝[d ij ] m×n
wherein D represents the correlation matrix, D ij And (3) representing elements of an ith row and a jth column in the correlation table, wherein m represents the number of the test methods, and n represents the number of the fault modes.
4. The method for testing the performance of a new energy device according to claim 1, wherein calculating the fault isolation weight according to the correlation matrix comprises:
randomly selecting one test point from the correlation matrix as a fault test point, and respectively calculating a first fault detection weight of a detection point corresponding to the fault test point and a second fault isolation weight of an isolation point corresponding to the fault test point by using the correlation matrix;
the first fault detection weight of the detection point is expressed as:
wherein W is FDj1 Represents the first fault detection weight, d ij An element representing an ith row and a jth column in the correlation table, a representing a total number of rows in the correlation table;
the second fault isolation weight of the isolation point is expressed as:
wherein W is FI Representing the second fault isolation weight,
representing the number of "1" as the j-th column parameter in the correlation table, ">
The number of the j-th column parameter of the correlation table is 0, Z represents the total number of the correlation tables, and k represents the k-th correlation table;
and carrying out simultaneous calculation according to the preset fault rate, the first fault detection weight and the second fault isolation weight to obtain the fault isolation weight.
5. The method for testing the performance of new energy equipment according to claim 4, wherein the performing the simultaneous calculation according to the preset fault rate, the first fault detection weight and the second fault isolation weight to obtain the fault isolation weight includes:
calculating a fault occurrence frequency ratio by using the fault rate, and updating the first fault detection weight by using the fault occurrence frequency ratio to obtain a target fault detection weight;
the failure occurrence frequency ratio is expressed as:
wherein alpha is c Represents the failure occurrence frequency ratio of the c-th constituent unit, lambda c Representing the failure rate of the c-th constituent unit, l representing the total number of the constituent units;
the target fault detection weight is expressed as:
wherein W is FDj Representing the target fault detection weight, alpha c Represents the failure occurrence frequency ratio of the c-th constituent unit, d ij An element representing an ith row and a jth column in the correlation table, a representing a total number of rows in the correlation table;
the fault occurrence frequency ratio, the target fault detection weight and the second fault isolation weight are combined to obtain a fault isolation weight;
the fault isolation weight is expressed as:
wherein W represents the fault isolation weight, alpha c Represents the failure occurrence frequency ratio of the c-th constituent unit, d ij And representing the elements of the ith row and the jth column in the correlation table, Z represents the total number of the correlation tables, and k represents the kth correlation table.
6. The method of claim 1, wherein the dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix comprises:
acquiring a column matrix corresponding to the correlation matrix, and judging whether elements in the column matrix are zero or not;
when the element in the column matrix is zero, generating a first submatrix according to the element in the row corresponding to the column matrix;
the first submatrix is expressed as:
wherein,,
representing the first submatrix, p represents a row corresponding to the element in the column matrix, d represents the element, e represents the number of zero elements in the column matrix, and f represents the column matrix;
when the element in the column matrix is not zero, generating a second sub-matrix according to the element in the row corresponding to the column matrix;
the second sub-matrix is expressed as:
wherein,,
representing the second submatrix, p represents a row corresponding to the element in the column matrix, d represents the element, m represents the total number of elements in the column matrix, e represents the number of elements in the column matrix which are zero, and f represents the column matrix.
7. The method for testing the new energy equipment based on the new energy equipment according to claim 1, wherein the testing the new energy equipment to be tested according to the testability model to obtain a test result comprises the following steps:
analyzing the energy equipment to be detected by using the testability model to obtain equipment test points;
calculating fault isolation weights of the equipment test points by using the testability model to obtain target fault isolation weights, and judging whether the target fault isolation weights accord with preset standard values or not;
when the target fault isolation weight accords with the standard value, judging that the new energy equipment to be detected accords with the standard;
and when the target fault isolation weight does not accord with the standard value, judging that the new energy equipment to be detected does not accord with the standard.
8. An apparatus for testing the performance of a new energy device, the apparatus comprising:
the fault mode judging module is used for acquiring the testability parameters of the new energy equipment and judging the fault mode of the new energy equipment according to the testability parameters;
the correlation matrix establishment module is used for acquiring a test method and establishing a correlation matrix according to the test method and the fault mode;
The correlation matrix dividing module is used for calculating fault isolation weights according to the correlation matrix and dividing the correlation matrix to obtain a first sub-matrix and a second sub-matrix;
the testing model building module is used for selecting a target test point of the new energy equipment according to the first submatrix and the second submatrix and building a testing model according to the target test point and the fault isolation weight;
and the new energy equipment to be detected testing module is used for acquiring new energy equipment to be detected, and testing the new energy equipment to be detected according to the testability model to obtain a testing result.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the new energy based device performance test method of any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the new energy device performance testing-based method according to any one of claims 1 to 7.
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