A device detection method, a device detection apparatus, and a computer storage medium

Abstract

The present application provides a device detection method, a device detection apparatus, and a computer storage medium. The device detection method includes: obtaining current voltage data and current current data of an electrical device in a current time period; obtaining a current correction coefficient based on the current voltage data; using the current correction coefficient to correct the current current data to obtain corrected current data; and obtaining service life information of the electrical device in the current time period based on the corrected current data and initial current data in an initial time period. Through the above device detection method, the voltage and current data of the electrical device are detected, and the accuracy of using the current data to evaluate the device life is improved by means of correction.

Description

Technical Field

[0001] This application relates to the technical field of equipment life detection, and particularly to an equipment detection method, an equipment detection device, and a computer storage medium. Background Art

[0002] In modern power consumption systems, intelligent circuit breakers with load identification functions and load identification intelligent sockets are a type of intelligent power consumption products with metering functions. They can collect data such as the effective value of current, the effective value of voltage, power, and electric energy within at least one AC cycle. Compared with ordinary power consumption equipment with metering functions, intelligent circuit breakers with load identification functions and load identification intelligent sockets also divide an AC cycle into multiple time points, and collect and analyze the original data of current and voltage at multiple time points within an AC cycle.

[0003] The current equipment life detection solutions mainly distinguish the aging degree of electrical appliances through power consumption, and there are problems of large errors and long judgment time for the discrimination of small-power equipment. Summary of the Invention

[0004] To solve the above technical problems, this application proposes an equipment detection method, an equipment detection device, and a computer storage medium.

[0005] To solve the above technical problems, this application proposes an equipment detection method, and the equipment detection method includes:

[0006] Obtain the current voltage data and current current data of the power consumption equipment in the current time period;

[0007] Based on the current voltage data, obtain the current correction coefficient;

[0008] Use the current correction coefficient to correct the current current data to obtain corrected current data;

[0009] Based on the corrected current data and the initial current data in the initial time period, obtain the service life information of the power consumption equipment in the current time period.

[0010] Wherein, the obtaining the current correction coefficient based on the current voltage data includes:

[0011] Based on the AC frequency used by the power consumption equipment, obtain the standard AC voltage;

[0012] Determine the ratio of the current voltage data to the standard AC voltage as the current correction coefficient.

[0013] Wherein, the determining the ratio of the current voltage data to the standard AC voltage as the current correction coefficient includes:

[0014] Obtain the current voltage data points corresponding to each current time point in the current voltage data;

[0015] Based on the waveform phase of the current voltage data points, obtain the standard voltage data points with the same waveform phase in the standard AC voltage;

[0016] Determine the ratio of the current voltage data points to the standard voltage data points as the current correction factor at the current time point.

[0017] Among them, the step of using the current correction factor to correct the current data to obtain corrected current data includes:

[0018] Obtain the current current data points at the current time point in the current current data;

[0019] Based on the product of the current current data points at the current time point and the current correction factor, determine the corrected current data points of the corrected current data.

[0020] Among them, the step of obtaining the service life information of the electrical equipment in the current time period based on the corrected current data and the initial current data in the initial time period includes:

[0021] Based on the current ratio of the corrected current data and the initial current data at the corresponding time points, determine the life coefficient;

[0022] Average all the life coefficients to obtain the life parameter;

[0023] Obtain the service life information of the electrical equipment in the current time period based on the life parameter.

[0024] Among them, the step of obtaining the service life information of the electrical equipment in the current time period based on the life parameter includes:

[0025] Obtain the normal use parameter range of the electrical equipment;

[0026] Judge whether the life parameter is within the normal use parameter range;

[0027] If not, determine that the service life information of the electrical equipment in the current time period is in an aging state.

[0028] Among them, the step of determining that the service life information of the electrical equipment in the current time period is in an aging state includes:

[0029] Obtain the proportion of the life coefficients that exceed the normal use parameter range among all the life coefficients;

[0030] Determine the aging state of the electrical equipment in the current time period according to the life coefficient proportion.

[0031] Among them, obtaining the proportion of life coefficients that exceed the normal use parameter range among all life coefficients includes:

[0032] Obtaining a preset number of consecutive life coefficients;

[0033] Determining whether all of the preset number of consecutive life coefficients exceed the normal use parameter range;

[0034] If so, obtaining the proportion of life coefficients that exceed the normal use parameter range among all life coefficients.

[0035] To solve the above technical problems, the present application also proposes a device detection device, which includes a memory and a processor coupled to the memory; wherein, the memory is used to store program data, and the processor is used to execute the program data to implement the device detection method as described above.

[0036] To solve the above technical problems, the present application also proposes a computer storage medium, which is used to store program data, and when the program data is executed by a computer, it is used to implement the above device detection method.

[0037] Compared with the prior art, the beneficial effects of the present application are as follows: The device detection device obtains the current voltage data and current current data of the electrical equipment in the current time period; based on the current voltage data, obtains the current correction coefficient; uses the current correction coefficient to correct the current current data to obtain the corrected current data; based on the corrected current data and the initial current data in the initial time period, obtains the service life information of the electrical equipment in the current time period. Through the above device detection method, the voltage and current data of the electrical equipment are detected, and the accuracy of evaluating the equipment life by the current data is improved through correction. Description of the Drawings

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. Among them:

[0039] Figure 1 is a flowchart of an embodiment of the device detection method provided by the present application;

[0040] Figure 2 is a waveform diagram of an embodiment of the voltage and current data provided by the present application;

[0041] Figure 3 isFigure 1 Schematic diagram of the specific process of step S14 of the device detection method shown

[0042] Figure 4 Schematic diagram of the structure of an embodiment of the device detection apparatus provided by the present application

[0043] Figure 5 Schematic diagram of the structure of another embodiment of the device detection apparatus provided by the present application

[0044] Figure 6 Schematic diagram of the structure of an embodiment of the computer storage medium provided by the present application Detailed implementation manners

[0045] Next, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application

[0046] The terms "first", "second", "third", "fourth", etc. (if any) in the specification, claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein, for example, can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these process, method, product or device

[0047] To solve the problems of the prior art, the present application provides a method for identifying the remaining service life of electrical equipment on a load identification intelligent circuit breaker and a load identification intelligent socket. Specifically, the problems to be solved by the device detection method of the present application include, but are not limited to

[0048] 1. Performing refined operations on the current and voltage data of the terminal electrical equipment to identify the remaining service life of the terminal electrical equipment

[0049] 2. Detecting terminal electrical equipment with different powers with the same accuracy and the same rate

[0050] Specifically, please refer to Figure 1 , Figure 1 Schematic diagram of the process of an embodiment of the device detection method provided by the present application

[0051] The device detection method of the present application is applied to a device detection apparatus. Among them, the device detection apparatus of the present application can be a server, a terminal device, or a system in which the server and the terminal device cooperate with each other. Correspondingly, each part included in the device detection apparatus, such as each unit, subunit, module, and submodule, can be all arranged in the server, all arranged in the terminal device, or respectively arranged in the server and the terminal device.

[0052] Furthermore, the above-mentioned server can be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster composed of multiple servers or as a single server. When the server is software, it can be implemented as multiple software or software modules, such as software or software modules used to provide a distributed server, or as a single software or software module, which is not specifically limited herein.

[0053] It should be noted that the device detection apparatus of the present application can be an intelligent terminal equipped with a load identification intelligent circuit breaker and / or a load identification intelligent socket.

[0054] As Figure 1 shown, the specific steps are as follows:

[0055] Step S11: Obtain the current voltage data and current current data of the electrical device in the current time period.

[0056] In the embodiment of the present application, the aging of the electronic components of the electrical device will be reflected in the parameter changes of all the electronic components in the electrical device, such as the resistance, capacitance, inductance resistance parameters, capacitance parameters, inductance parameters, etc. And the changes of the above parameters will be reflected in the parameter changes of the current magnitude, power factor, and the phase relationship between the working current and the working voltage of the entire electrical device during operation.

[0057] Therefore, the device detection apparatus needs to collect the current voltage and current data of the electrical device in the current time period. Generally speaking, the current voltage and current data in the current time period should be at least one cycle or more than half a cycle of voltage and current data. Through the analysis of the periodic voltage and current, the error situation of life detection can be reduced and the accuracy of service life detection can be improved.

[0058] In a specific implementation manner, the load identification intelligent circuit breaker and the load identification intelligent socket are internally equipped with a current and voltage detection circuit. This metering circuit will collect 1 single-point current data, that is, the current data point, and single-point voltage data, that is, the voltage data point, within a unit time. At the same time, this metering circuit will obtain relevant information such as power factor, AC frequency, and AC zero point.

[0059] Specifically, please refer to Figure 2 ,Figure 2 1 is a waveform diagram of an embodiment of voltage and current data provided by this application.

[0060] like Figure 2 As shown in the figure, the device detection device collects the AC current waveform and AC voltage waveform of a certain period of time when the electrical equipment is in use. The internal collection and metering circuit of the load identification intelligent circuit breaker and load identification intelligent socket can collect single-point voltage data and single-point current data every unit time. For example, starting from the zero point of the voltage, a single-point current data A and a single-point voltage data U are collected every 1mS. For example, the current data at t1 is recorded as A t1 , the voltage data of t1 is recorded as U t1 , the current data of t2 is recorded as A t2 , the voltage data of t2 is recorded as U t2 ...The current data at t20 is recorded as A t20 , the voltage data of t20 is recorded as U t20 .

[0061] At the same time, through the metering circuit (such as metering chip, etc.) inside the load-identifying intelligent circuit breaker and the load-identifying intelligent socket, it is possible to directly obtain whether the AC frequency is 50Hz and the zero point position of the AC.

[0062] Step S12: Based on the current voltage data, obtain the current correction coefficient.

[0063] In an embodiment of the present application, the equipment detection device determines a current correction coefficient for the current current data by correcting the current voltage data to a unified standard AC voltage state.

[0064] Specifically, the equipment detection device determines the standard AC voltage based on the AC frequency used by the electrical equipment. The AC frequency used by the electrical equipment is mainly determined by collecting data from the metering circuit inside the load-identifying intelligent circuit breaker and the load-identifying intelligent socket.

[0065] It should be noted that the period information of the standard AC voltage should be the same as the period information of the current voltage data, that is, the phase conditions of the voltage data of the two should be consistent, so as to facilitate the calculation of the correction coefficient of each phase point.

[0066] In a specific embodiment, the device detection device determines that the standard AC voltage is AC220V according to the AC frequency of 50Hz. The device detection device solves the waveform voltage value of the standard AC voltage according to the voltage value of 220V. For example, for Figure 2 As shown in U t6 The standard value is 311.08V, which is converted from 220V through 1.414.

[0067] Further, the device detection apparatus calculates the waveform voltage value of the standard AC voltage at the same phase point, that is, the ratio of the standard voltage data point to the current voltage data point, as the correction factor for this phase point. For example, the device detection apparatus compares the standard value with the actual value to obtain a specific ratio, denoted as the correction factor X, and X t6 = 311.08 / U t6 .

[0068] Step S13: Use the current correction factor to correct the current data at the current time to obtain the corrected current data.

[0069] In the embodiment of the present application, the device detection apparatus uses the correction factor X at the same time point and the current data A at the current time for correction calculation to obtain the corrected current data Y. For example, Y t6 = A t6 * X t6 .

[0070] Step S14: Based on the corrected current data and the initial current data in the initial time period, obtain the service life information of the electrical device in the current time period.

[0071] In the embodiment of the present application, the device detection apparatus compares the corrected current data with the initial current data in the initial time period, and generates or determines the service life information of the electrical device in the current time period according to the difference between the two. Among them, the initial time period can be the current data within a preset duration collected when the electrical device is powered on for the first time.

[0072] Specifically, the device detection apparatus saves the series of data when the terminal device is powered on for the first time as the original data in the load identification intelligent circuit breaker and the load identification intelligent socket, denoted as Y t1-1 , Y t2-1 ……Y t19-1 , Y t20-1 ……Y tn-1 . It should be noted that the initial current data also needs to be corrected by the correction factor before being saved.

[0073] Further, during the subsequent power-on use of the electrical device, the load identification intelligent circuit breaker and the load identification intelligent socket will continuously obtain a new series of data for a certain time period T, that is, the current time period. Denoted as Y t1-T , Y t2-T ……Y t19-T , Y t20-T ……Y tn-T .

[0074] The device detection apparatus can determine the service life information of the current time period by directly comparing the current differences between the two. For example, the greater the current difference, the shorter the remaining service life of the electrical device.

[0075] This application provides a quantization scheme for service life information. For details, please refer to Figure 3 , Figure 3 which Figure 1 is the specific process schematic diagram of step S14 of the device detection method shown.

[0076] As Figure 3 shown, the specific steps are as follows:

[0077] Step S141: Determine the life coefficient based on the current ratio of the corrected current data and the initial current data at the corresponding time points.

[0078] In the embodiment of this application, the device detection device performs an operation and induction on the subsequent obtained series of data and the series of data at the first power-on to obtain data Z, denoted as life data.

[0079] Specifically, the device detection device needs to calculate the ratio between the corrected current data point and the initial current data point at each time point as the life coefficient at this time point, as follows:

[0080] Z1 = Y t1-T / Y t1-1

[0081] Z2 = Y t2-T / Y t2-1

[0082] Zn = Y tn-T / Y tn-1

[0083] Step S142: Average all the life coefficients to obtain the life parameter.

[0084] In the embodiment of this application, the device detection device averages all the life coefficients obtained in step S141, and the average value is denoted as the life parameter or life data:

[0085] Z = (Z1 + Z2 +... + Zn) / n

[0086] Step S143: Obtain the service life information of the electrical equipment in the current time period based on the life parameter.

[0087] In the embodiment of this application, the device detection device determines whether the electrical equipment shows signs of aging according to the life parameter calculated in step S142.

[0088] Specifically, the closer the value of the life parameter Z is to 1, the longer the remaining service life of the electrical equipment. The more deviated the value of Z is from 1, the shorter the remaining service life of the electrical equipment.

[0089] Further, the device detection apparatus can also perform the following refined processing on the life parameter Z using the normal operating parameter range:

[0090] For example, when 0.98 ≤ Z ≤ 1.02, the device detection apparatus determines that the remaining service life of the electrical equipment is normal, reports the good operating information status of the equipment, and stores it.

[0091] When Z > 1.02 or Z < 0.98, the device detection apparatus determines that the remaining service life of the electrical equipment is abnormal, and aging may occur.

[0092] Further, in the case where it is determined that aging may occur in the electrical equipment, the device detection apparatus can continue to make a more refined judgment on the life parameter Z:

[0093] The device detection apparatus reads Z1, Z2... Zn, reads continuously for several rounds, eliminates interference, and when it is confirmed that Z > 1.02 or Z < 0.98 always exists, then makes a data comparison for each data of the read Z1, Z2... Zn:

[0094] When more than 5% of the data is > 1.05 or < 0.95, the device detection apparatus determines that the electrical equipment is in the initial aging state, reports the aging operating information status of the equipment, and stores it.

[0095] When more than 10% of the data is > 1.05 or < 0.95, the device detection apparatus determines that the electrical equipment is in the low-risk aging state, reports the aging operating information status of the equipment, and stores it.

[0096] When more than 15% of the data is > 1.05 or < 0.95, the device detection apparatus determines that the electrical equipment is in the medium-risk aging state, reports the aging operating information status of the equipment, and stores it.

[0097] When more than 20% of the data is > 1.05 or < 0.95, the device detection apparatus determines that the electrical equipment is in the high-risk aging state, reports the aging operating information status of the equipment, and stores it.

[0098] Further, the load identification intelligent circuit breaker and the load identification intelligent socket software issue a prompt to prompt the personnel to replace the used terminal equipment in time to avoid risks.

[0099] In this application, the device detection apparatus acquires the current voltage data and the current current data of the electrical device in the current time period; based on the current voltage data, acquires the current correction factor; uses the current correction factor to correct the current current data to obtain the corrected current data; based on the corrected current data and the initial current data of the initial time period, acquires the service life information of the electrical device in the current time period. Through the above device detection method, the voltage and current data of the electrical device are detected, and the accuracy of evaluating the device life by the current data is improved through correction.

[0100] The device detection method of this application uses the original current and voltage data for detection, and is not limited by high-power loads or low-power loads, showing the same detection accuracy and the same detection rate, covering a wider range of terminal electrical devices that can be accurately detected.

[0101] The device detection method of this application can complete the detection within at least one AC cycle. According to the 50 / 60Hz alternating current used in China at that time, it can be completed in at least 16.6ms, and the detection speed is faster.

[0102] Those skilled in the art can understand that in the above method of the specific implementation manner, the writing order of each step does not mean a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0103] To implement the above device detection method, this application also proposes a device detection apparatus. For details, please refer to Figure 4 , Figure 4 is a schematic structural diagram of an embodiment of the device detection apparatus provided by this application.

[0104] The device detection apparatus 500 of this embodiment includes: a detection module 51, an acquisition module 52, a correction module 53, and a calculation module 54.

[0105] Among them, the detection module 51 is used to acquire the current voltage data and the current current data of the electrical device in the current time period;

[0106] The acquisition module 52 is used to acquire the current correction factor based on the current voltage data;

[0107] The correction module 53 is used to correct the current current data by using the current correction factor to obtain the corrected current data;

[0108] The calculation module 54 is used to acquire the service life information of the electrical device in the current time period based on the corrected current data and the initial current data of the initial time period.

[0109] To implement the above device detection method, the present application also proposes another device detection device. For details, please refer to Figure 5 , Figure 5 which is a schematic structural diagram of another embodiment of the device detection device provided by the present application.

[0110] The device detection device 400 in this embodiment includes a processor 41, a memory 42, an input / output device 43, and a bus 44.

[0111] The processor 41, the memory 42, and the input / output device 43 are respectively connected to the bus 44. Program data is stored in the memory 42, and the processor 41 is configured to execute the program data to implement the device detection method described in the above embodiment.

[0112] In the embodiment of the present application, the processor 41 may also be referred to as a CPU (Central Processing Unit). The processor 41 may be an integrated circuit chip with signal processing capabilities. The processor 41 may also be a general-purpose processor, a digital signal processor (DSP, Digital Signal Process), an application specific integrated circuit (ASIC, Application Specific Integrated Circuit), a field programmable gate array (FPGA, Field Programmable Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components. The general-purpose processor may be a microprocessor, or the processor 41 may also be any conventional processor, etc.

[0113] The present application also provides a computer storage medium. For details, please continue to refer to Figure 6 , Figure 6 which is a schematic structural diagram of an embodiment of the computer storage medium provided by the present application. A computer program 61 is stored in the computer storage medium 600. When the computer program 61 is executed by a processor, it is used to implement the device detection method described in the above embodiment.

[0114] When the embodiments of the present application are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0115] The above are only the embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A device detection method, characterized in that, The described device detection method includes: Obtain the current voltage data and current current data of the electrical device in the current time period; Based on the current voltage data, obtain the current correction coefficient; Use the current correction coefficient to correct the current current data to obtain the corrected current data; Based on the corrected current data and the initial current data in the initial time period, obtain the service life information of the electrical device in the current time period.

2. The device detection method according to claim 1, wherein: The obtaining the current correction coefficient based on the current voltage data includes: Based on the alternating current frequency used by the electrical device, obtain the standard alternating current voltage; Determine the ratio of the current voltage data to the standard alternating current voltage as the current correction coefficient.

3. The device detection method according to claim 2, wherein: The determining the ratio of the current voltage data to the standard alternating current voltage as the current correction coefficient includes: Obtain the current voltage data points corresponding to each current time point in the current voltage data; Based on the waveform phase of the current voltage data points, obtain the standard voltage data points with the same waveform phase in the standard alternating current voltage; Determine the ratio of the current voltage data points to the standard voltage data points as the current correction coefficient at the current time point.

4. The device detection method according to claim 3, wherein: The using the current correction coefficient to correct the current current data to obtain the corrected current data includes: Obtain the current current data points at the current time point in the current current data; Based on the product of the current current data points at the current time point and the current correction coefficient, determine the corrected current data points of the corrected current data.

5. The device detection method according to claim 1, wherein: The obtaining the service life information of the electrical device in the current time period based on the corrected current data and the initial current data in the initial time period includes: Based on the current ratio of the corrected current data to the initial current data at the corresponding time points, determine the life coefficient; Average all the life coefficients to obtain the life parameter; Based on the life parameter, obtain the service life information of the electrical device in the current time period.

6. The device detection method according to claim 5, wherein: The obtaining the service life information of the electrical device in the current time period based on the life parameter includes: Obtain the normal use parameter range of the electrical device; Judge whether the life parameter is within the normal use parameter range; If not, determine that the service life information of the electrical device in the current time period is in an aging state.

7. The device detection method according to claim 6, wherein: The determining that the service life information of the electrical device in the current time period is in an aging state includes: Obtain the proportion of the life coefficients that exceed the normal use parameter range among all the life coefficients; Determine the aging state of the electrical device in the current time period according to the life coefficient proportion.

8. The device detection method according to claim 7, wherein: Obtaining the proportion of the life coefficients exceeding the normal use parameter range among all the life coefficients includes: Obtaining a preset number of consecutive life coefficients; Determining whether all of the preset number of consecutive life coefficients exceed the normal use parameter range; If so, obtaining the proportion of the life coefficients exceeding the normal use parameter range among all the life coefficients.

9. A device detection apparatus, characterized in that, The device detection apparatus includes a memory and a processor coupled to the memory; wherein, the memory is used for storing program data, and the processor is used for executing the program data to implement the device detection method according to any one of claims 1 to 8.

10. A computer storage medium, characterized in that, The computer storage medium is used for storing program data, and when the program data is executed by a computer, it is used to implement the device detection method according to any one of claims 1 to 8.

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