CN110988570A - Method and device for identifying starting of fixed-frequency air conditioner and storage medium - Google Patents
Method and device for identifying starting of fixed-frequency air conditioner and storage medium Download PDFInfo
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Abstract
The invention discloses a method and a device for identifying the starting of a fixed-frequency air conditioner and a storage medium. The method for identifying the starting of the fixed-frequency air conditioner comprises the following steps: acquiring voltage and current of a preset monitoring point in a monitoring environment according to a preset sampling frequency to generate an active power time sequence; acquiring a pulse point when the fixed-frequency air conditioner is started according to an active power time sequence; acquiring a plurality of power intervals by taking a pulse point as a base point in an active power time sequence, and respectively counting the fluctuation times corresponding to each power interval; and judging whether the fixed-frequency air conditioner in the monitoring environment is started or not according to the fluctuation times corresponding to each power interval. The method and the device accurately identify the start of the fixed-frequency air conditioner under the conditions of single-appliance operation and multi-appliance mixed operation, and reduce the algorithm complexity.
Description
Technical Field
The invention relates to the technical field of load monitoring, in particular to a method and a device for identifying the starting of a fixed-frequency air conditioner and a storage medium.
Background
The non-invasive load identification means that the running state of the household load in the monitoring environment is identified from the electric meter through voltage and current data collected in real time. The air conditioner is one of main loads in household electricity, and the efficient monitoring of the fixed-frequency air conditioner is one of the difficulties and the key points in the non-intrusive load identification field under the complex condition of multi-load synchronous operation.
At present, a large amount of data training is usually required for a supervised non-invasive load identification method, and the algorithm complexity is high and the required hardware requirement is high due to the large amount of data in the method. In the method, the threshold value is set only considering the condition of a single fixed-frequency air conditioner, and the problem of false detection can occur due to the change of the threshold value under the condition of mixing a plurality of electrical appliances.
Disclosure of Invention
The invention mainly aims to provide a method and a device for identifying the start of a fixed-frequency air conditioner and a storage medium, and aims to solve the technical problems that the existing non-invasive load identification method is high in algorithm complexity and difficult to ensure identification accuracy.
In a first aspect, to achieve the above object, the present invention provides a method for identifying the start-up of a fixed-frequency air conditioner, where the method for identifying the start-up of the fixed-frequency air conditioner includes:
acquiring voltage and current of a preset monitoring point in a monitoring environment according to a preset sampling frequency to generate an active power time sequence;
acquiring a pulse point when the fixed-frequency air conditioner is started according to the active power time sequence;
acquiring a plurality of power intervals by taking the pulse point as a base point in the active power time sequence, and respectively counting the fluctuation times corresponding to each power interval;
and judging whether the fixed-frequency air conditioner in the monitoring environment is started or not according to the fluctuation times corresponding to the power intervals.
Preferably, the obtaining of the pulse point when the fixed-frequency air conditioner is started according to the active power time sequence includes the following steps:
acquiring a power difference value between a first sampling point and a second sampling point based on the active power time sequence, wherein the first sampling point and the second sampling point are two continuous sampling points;
judging whether the power difference value is larger than a preset starting threshold value of the fixed-frequency air conditioner;
and if the power difference value is larger than a preset starting threshold value of the fixed-frequency air conditioner, setting the first sampling point as a pulse point when the fixed-frequency air conditioner is started.
Preferably, the obtaining a plurality of power intervals with the pulse point as a base point in the active power time sequence, and respectively counting the fluctuation times corresponding to each of the power intervals includes:
selecting a first number of sampling points before the pulse point and a second number of sampling points after the pulse point in the active power time sequence, and dividing the active power time sequence corresponding to the first number of acquisition points and the second number of sampling points into a plurality of power intervals with the same number of sampling points;
and respectively counting the fluctuation times corresponding to each power interval.
Preferably, the counting the number of the fluctuation times corresponding to each of the power intervals respectively includes the following steps:
and judging whether the symbols corresponding to the two continuous power difference values in each power interval are different.
And if the symbols corresponding to the two continuous power difference values are different, judging whether the power change amplitude of the two continuous power difference values is larger than a preset change threshold value.
And if the power variation amplitude of two continuous power difference values is larger than a preset variation threshold value, determining that the power variation amplitude is a primary fluctuation.
And counting all the fluctuation times of each power interval.
Preferably, the calculation formula of the power variation amplitude of the two consecutive power difference values is:
ΔΔP＝|ΔPj+1-ΔPj|
wherein Δ Δ Δ P is the power variation amplitude; j is an element of [1, W ]]And j is the mark position in the corresponding power interval; w is the number of sampling points in the power interval; delta PjThe corresponding power difference value at the current marking position is obtained; delta Pj+1The corresponding power difference at the next mark position. .
Preferably, the determining whether the fixed-frequency air conditioner in the monitoring environment is started according to the fluctuation times corresponding to each of the power intervals includes:
calculating fluctuation characteristics according to the fluctuation times corresponding to the power intervals, and judging whether the fluctuation characteristics meet corresponding preset conditions or not;
when the fluctuation characteristics meet corresponding preset conditions, determining that the fixed-frequency air conditioner is started;
and when the fluctuation characteristics do not meet corresponding preset conditions, determining that the fixed-frequency air conditioner is not started.
Preferably, the calculating a fluctuation feature according to the fluctuation times corresponding to each of the power intervals, and determining whether the fluctuation feature satisfies a corresponding preset condition includes the following steps:
calculating the minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times before the pulse point and the second average fluctuation times after the pulse point according to the fluctuation times corresponding to the power intervals;
and respectively judging whether the minimum fluctuation times are greater than a preset minimum threshold value, whether the maximum fluctuation times are greater than a preset maximum threshold value, and whether the difference value between the first average fluctuation times and the second average fluctuation times is greater than a preset fluctuation threshold value.
Preferably, when the fluctuation characteristics satisfy corresponding preset conditions, determining that the fixed-frequency air conditioner is started includes the following steps:
and if the minimum fluctuation times are larger than a preset minimum threshold value, the maximum fluctuation times are larger than a preset maximum threshold value, and the difference value between the first average fluctuation times and the second average fluctuation times is larger than a preset fluctuation threshold value, starting the fixed-frequency air conditioner.
In a second aspect, to achieve the above object, the present invention further provides a start-up identification device for a fixed-frequency air conditioner, including: the device comprises a memory, a processor and a fixed-frequency air conditioner starting identification program which is stored on the memory and driven by the processor, wherein the fixed-frequency air conditioner starting identification program realizes the steps of the fixed-frequency air conditioner starting identification method when being executed by the processor.
In a third aspect, to achieve the above object, the present invention further provides a computer readable storage medium, where a fixed-frequency air conditioner start-up identification program is stored on the computer readable storage medium, and when executed by a processor, the fixed-frequency air conditioner start-up identification program implements the steps of the fixed-frequency air conditioner start-up identification method.
According to the method, after an active power time sequence is obtained according to voltage and voltage acquired by a preset sampling frequency, firstly, a pulse point when a fixed-frequency air conditioner is started is detected according to active power amplitude corresponding to the sampling point in the active power time sequence, then, a plurality of power intervals are obtained by taking the pulse point as a base point in the active power time sequence, fluctuation times corresponding to the power intervals are respectively counted, and finally, whether the fixed-frequency air conditioner in a monitoring environment is started or not is judged according to the fluctuation times corresponding to the power intervals. Compared with the existing non-invasive load identification method, the method only needs to calculate a single characteristic quantity, namely the effective power, detects the pulse point when the fixed-frequency air conditioner is started by using the amplitude of the active power, and starts the fixed-frequency subsequent starting identification work after the pulse point when the fixed-frequency air conditioner is started is detected, otherwise, the subsequent calculation is not carried out, so that the algorithm complexity is reduced, and the hardware requirement is reduced; secondly, the invention can accurately identify the fixed-frequency air conditioner by utilizing the fluctuation of active power under the condition of single electric appliance operation and multi-electric appliance mixed operation.
Drawings
Fig. 1 is a schematic structural diagram of a terminal in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a method for identifying the start-up of a fixed-frequency air conditioner according to an embodiment of the present invention;
FIG. 3 is a detailed flowchart of step S20 in FIG. 2;
FIG. 4 is a detailed flowchart of step S30 in FIG. 2;
FIG. 5 is a detailed flowchart of step S302 in FIG. 4;
FIG. 6 is a detailed flowchart of step S40 in FIG. 2;
FIG. 7 is a graph of an active power curve of a case one in an embodiment of a method for identifying a start-up of a fixed-frequency air conditioner according to the present invention;
FIG. 8 is a graph of a fluctuation frequency curve of a first case of the method for identifying the start-up of a fixed-frequency air conditioner according to the present invention;
FIG. 9 is a graph of an active power curve of a second case in the method for identifying the start-up of a fixed-frequency air conditioner according to the present invention;
fig. 10 is a graph of fluctuation frequency in a second case of the method for identifying the start-up of a fixed-frequency air conditioner according to the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Those skilled in the art can understand that the implementation subject in the embodiment of the method for identifying the start-up of the fixed-frequency air conditioner of the present invention may be a terminal, such as a terminal device of a PC, a smart phone, a tablet computer, a portable computer, or the like, or any other device that can implement the method for identifying the start-up of the fixed-frequency air conditioner of the present invention, and the preferred terminal in the embodiment of the method for identifying the start-up of the fixed-frequency air conditioner of the present invention is used as the; in the embodiment of the start-up identification device for the fixed-frequency air conditioner, the start-up identification device for the fixed-frequency air conditioner may be installed in the terminal, or may be independent of the terminal, and only performs communication connection with the terminal, or may be any other suitable installation and use method.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a PC, and can also be a mobile terminal device such as a smart phone, a tablet computer, a portable computer and the like.
As shown in fig. 1, the terminal may include: a processor 1001, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The processor 1001 may be a CPU. A communication bus 1002 is used to enable connection communications between these components. The user interface 1003 may include a display screen, an input unit such as a keyboard; the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may include a standard wired interface, a wireless interface. The memory 1005 may be a high speed RAM memory or a stable memory such as a disk memory; the optional memory 1005 may also be a storage device separate from the processor 1001 described previously.
Optionally, the terminal may further include a display screen, a camera, a radio frequency circuit, a sensor, an audio circuit, a communication module, and the like. Such as light sensors, object detection sensors, and other sensors. In particular, the light sensor may comprise an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light. When the target detection sensor detects a target object, the display screen is opened, otherwise, the display screen is closed. Of course, the terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a constant-frequency air conditioner start-up recognition program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; the processor 1001 may be configured to call the fixed-frequency air-conditioner start identification program stored in the memory 1005, and execute the steps of the fixed-frequency air-conditioner start identification method as described below.
As shown in fig. 2, an embodiment of the present invention provides a method for identifying the start-up of a fixed-frequency air conditioner, where the method for identifying the start-up of the fixed-frequency air conditioner includes:
and step S10, acquiring the voltage and the current of a preset monitoring point in the monitoring environment according to a preset sampling frequency, and generating an active power time sequence.
Using a predetermined sampling frequency FSAnd sampling the voltage and the current of a preset monitoring point in the monitoring environment in real time by using a voltage sensor and a current sensor, and calculating active power according to the voltage and the current which are collected in real time so as to obtain an active power time sequence. The elements in the active power time sequence P (x) are sequentially P1、P2、P3、……、Pn. Wherein the preset sampling frequency FsCan be set according to requirements, for example, 10 KHz. The preset monitoring point can be the position of a main power supply in the monitored environment.
And step S20, acquiring a pulse point when the fixed-frequency air conditioner is started according to the active power time sequence.
Understandably, as household common compressor equipment comprises a refrigerator, a fixed-frequency air conditioner, a variable-frequency air conditioner and the like, when the fixed-frequency air conditioner is started, the power impact of a lifting stage is large, and the power amplitude during starting is between 3000W and 15000W; starting the variable frequency air conditioner is divided into two conditions, wherein the variable frequency air conditioner of one part of manufacturers is started without a starting pulse, the variable frequency air conditioner of the other part of manufacturers is started, and the power amplitude during starting is between 600W and 1200W; the power amplitude when the refrigerator is started is about 1000W. The constant-frequency air conditioner can thus be distinguished from the compressor installation by the active power amplitude.
Specifically, the effective power amplitude corresponding to each sampling point in the active power time sequence is used for detecting a pulse point when the fixed-frequency air conditioner is started, and when the pulse point when the fixed-frequency air conditioner is started is detected, the subsequent starting identification work of the fixed-frequency air conditioner is started.
Step S30, obtaining a plurality of power intervals with the pulse point as a base point in the active power time sequence, and counting the number of fluctuations corresponding to each of the power intervals.
Understandably, because the fluctuation frequency of the effective power when the non-compressor equipment is started is low, the fluctuation frequency of the effective power when the air conditioner is started is large, and the fluctuation amplitude is between dozens of watts and hundreds of watts, the compressor equipment and the non-compressor equipment can be distinguished by counting the fluctuation frequency of the effective power. Among them, non-compressor devices such as induction cookers, microwave ovens, electric kettles, electric rice cookers, televisions, oil pumping units, etc. Wherein, the larger the fluctuation frequency is.
Specifically, a pulse point when the fixed-frequency air conditioner is started is used as a base point, a segment of active power time sequence including the base point is divided into a plurality of power intervals with the same interval size, that is, the number of sampling points included in each power interval is the same, the extreme points in each power interval are further analyzed, the number of the extreme points in each power interval is counted, and the number of the extreme points in the power interval is also the fluctuation times corresponding to the power interval. Preferably, the plurality of power intervals includes three and more power intervals.
Preferably, the fluctuation frequency corresponding to each power interval may be calculated according to the interval size of the power interval and the fluctuation frequency corresponding to each power interval. For example, if the interval size of the power interval is W (i.e. the power interval includes W sampling points), the sampling frequency is FsThe number of fluctuation is N, the fluctuation frequency is FN＝N/(W/Fs)。
And step S40, judging whether a fixed frequency air conditioner in the monitoring environment is started or not according to the fluctuation times corresponding to each power interval.
Specifically, after the fluctuation times corresponding to the power intervals are obtained in step S30, a plurality of fluctuation characteristics are obtained by calculating the fluctuation times corresponding to the power intervals, and whether the constant-frequency air conditioner is started in the monitoring environment is determined based on the plurality of fluctuation characteristics and corresponding preset conditions. Understandably, when the plurality of fluctuation characteristics all meet corresponding preset conditions, the fixed-frequency air conditioner in the monitoring environment is determined to be started, otherwise, the fixed-frequency air conditioner is not started, and then the step S10 is returned, the current and the voltage of preset monitoring points in the monitoring environment are collected, and the active power time sequence is calculated, so that whether the fixed-frequency air conditioner is started or not is accurately judged by a method of integrating the fluctuation of the active power and the amplitude of the active power.
In summary, in this embodiment, after obtaining the active power time sequence according to the voltage and the voltage collected at the preset sampling frequency, firstly, the pulse point when the fixed-frequency air conditioner is started is detected according to the active power amplitude corresponding to the sampling point in the active power time sequence, then, a plurality of power intervals are obtained in the active power time sequence with the pulse point as a base point, the fluctuation times corresponding to each power interval are respectively counted, and finally, whether the fixed-frequency air conditioner in the monitoring environment is started is determined according to the fluctuation times corresponding to each power interval. In the embodiment, only a single characteristic quantity, namely effective power, is needed to be calculated, the amplitude of active power is used for detecting the pulse point when the fixed-frequency air conditioner is started, the fixed-frequency subsequent starting identification work is started after the pulse point when the fixed-frequency air conditioner is started is detected, otherwise, the subsequent calculation is not carried out, the algorithm complexity is reduced, and the hardware requirement is reduced; secondly, this embodiment utilizes the volatility of active power can accurately discern the fixed frequency air conditioner and start under the condition of single electrical apparatus operation and the mixed operation of many electrical apparatuses. In addition, the embodiment can accurately identify the start of the fixed-frequency air conditioner without entering the house of residents, has the advantages of simplicity, economy, easiness in popularization and application and the like, and the identification result is helpful for users to know the start operation characteristics and the energy consumption condition of the high-power fixed-frequency air conditioner and can be applied to demand side management work of a power grid company on the air conditioner.
Further, as shown in fig. 3, an embodiment of the present invention provides a method for identifying a start-up of a fixed-frequency air conditioner, based on the embodiment shown in fig. 2, where the step S20 includes:
step S201, acquiring a power difference value between a first sampling point and a second sampling point based on the active power time sequence, wherein the first sampling point and the second sampling point are two continuous sampling points. Preferably, the first acquisition point and the second sampling point are arranged chronologically one after the other, i.e. the first acquisition point precedes the second sampling point.
Step S202, judging whether the power difference value is larger than a preset starting threshold value of the fixed-frequency air conditioner.
Step S203, if the power difference value is larger than a preset starting threshold value of the fixed-frequency air conditioner, setting the first sampling point as a pulse point when the fixed-frequency air conditioner is started. And if the power difference is smaller than or equal to the preset starting threshold of the fixed-frequency air conditioner, returning to the step S201, that is, continuously repeating the step S201 until the power difference between the first sampling point and the second sampling point is judged to be larger than the preset starting threshold of the fixed-frequency air conditioner, and setting the first sampling point as a pulse point when the fixed-frequency air conditioner is started.
In this embodiment, the calculation formula of the power difference between the first sampling point and the second sampling point is:
ΔP＝Pi+1-Pi(1)
in the formula (1), Δ P is a power difference; i is a mark position corresponding to the sampling point; piThe effective power value of the first sampling point; pi+1The effective power value of the second sampling point. Understandably, the current marker position corresponds to the first sampling point.
After the power difference value delta P between the first sampling point and the second sampling point is obtained by using the formula (1), a preset starting threshold value P preset by the fixed-frequency air conditioner is obtainedampJudging whether the delta P is larger than PampIf Δ P>PampIf the first sampling point is determined to be a pulse point when the fixed-frequency air conditioner is started, the process may proceed to step S30 to further identify the fixed-frequency air conditioner. And if Δ P.ltoreq.PampThen, the process returns to step S201, at this time, the first update is performed firstSampling points and second sampling points (namely, the mark position is moved backwards by one sampling point, the former second sampling point is updated to be the first sampling point, the next sampling point is obtained in sequence and is updated to be the second sampling point), then the power difference value delta P between the updated first sampling point and the second sampling point is obtained by utilizing the calculation formula of the power difference value, and whether the delta P is more than P or not is judgedampUntil determining Δ P>PampAnd setting the first sampling point as a pulse point when the fixed-frequency air conditioner is started.
In summary, the power difference between two consecutive sampling points in this embodiment is compared with the preset start threshold when Δ P is smaller than the preset start threshold>PampIn the embodiment, the possibility of starting the fixed-frequency air conditioner is accurately judged through the power amplitude of the air conditioner during starting, so that the starting of the fixed-frequency air conditioner is further identified in the subsequent steps, and unnecessary detection and identification workload can be reduced.
Further, as shown in fig. 4, an embodiment of the present invention provides a method for identifying a start-up of a fixed-frequency air conditioner, based on the embodiment shown in fig. 2, where the step S30 includes:
step S301, selecting a first number of sampling points before the pulse point and a second number of sampling points after the pulse point in the active power time sequence, and dividing the active power time sequence corresponding to the first number of acquisition points and the second number of sampling points into a plurality of power intervals with the same number of sampling points.
Step S302, respectively counting the fluctuation times corresponding to each of the power intervals.
In this embodiment, in the active power time sequence, with a pulse point at the start of the fixed-frequency air conditioner as a base point, L1 sampling points before the pulse point and L2 sampling points after the pulse point are selected, and according to W sampling points as a power interval, the active power time sequence corresponding to (L1+ L2) sampling points is divided into (L1+ L2)/W power intervals, and then the fluctuation times of (L1+ L2)/W power intervals are counted respectively. Preferably, L1 and L2 may be the same or different; w is more than or equal to 3, namely W sampling points comprise three or more sampling points, and L1 and L2 can be evenly divided by W.
In summary, the power interval before and after the pulse point is obtained in this embodiment, the fluctuation of the active power can be accurately reflected, and then the fixed-frequency air conditioner can be accurately identified from the condition of single-appliance operation and mixed-operation of multiple appliances through the fluctuation of the active power.
Further, as shown in fig. 5, an embodiment of the present invention provides a method for identifying a start-up of a fixed-frequency air conditioner, based on the embodiment shown in fig. 4, where the step S302 includes:
step S3021, determining whether symbols corresponding to two consecutive power difference values in each power interval are different.
Step S3022, if the symbols corresponding to two consecutive power difference values are different, determining whether the power variation amplitude of the two consecutive power difference values is greater than a preset variation threshold.
Step S3023, if the power variation range of two consecutive power difference values is greater than a preset variation threshold, determining that the power variation range is a primary fluctuation.
Step S3024, counting all the fluctuation times of each power interval.
Preferably, the calculation formula of the power variation amplitude of two consecutive power difference values is:
ΔΔP＝|ΔPj+1-ΔPj| (2)
in the formula (2), Δ Δ Δ P is the power variation amplitude; j is an element of [1, W ]]And j is the mark position in the corresponding power interval; w is the number of sampling points in the power interval; delta PjThe corresponding power difference value at the current marking position is obtained; delta Pj+1The corresponding power difference at the next mark position.
Corresponding to each power interval, obtaining delta P between two continuous sampling points by using a calculation formula of a power difference value, judging whether the signs of the two continuous power difference values in each power interval are different, and if the signs corresponding to the two continuous power difference values are different, meeting the condition delta Pj+1>0，ΔPj<0 or Δ Pj+1<0，ΔPj>0, obtaining a preset change threshold value PvolAnd judging whether the delta P obtained by the formula (2) is larger than PvolIf Δ Δ P>PvolIf it is determined that there is a single fluctuation at the mark position, i.e., there is a limit value at the mark position, the steps S3021 to S3023 are repeated to obtain the number of fluctuations corresponding to (L1+ L2)/W power intervals. If the signs corresponding to two consecutive power difference values are the same, the process returns to step S3021, and repeatedly determines whether the signs corresponding to two consecutive power difference values in each power interval are different, that is, continues to detect the limit value. And if Δ Δ P.ltoreq.PvolIf so, it is determined that there is no fluctuation at the marked position, and the process returns to step S3021, and it is repeatedly determined whether the signs corresponding to two consecutive power difference values in each power interval are different until it is detected that the signs corresponding to two consecutive power difference values are different, that is, the limit value continues to be detected.
In this embodiment, the fluctuation times of each power interval may be counted simultaneously, or the fluctuation times of a certain power interval may be preferably unified, for example, the fluctuation times of each power interval are counted sequentially according to a time sequence.
Further, as shown in fig. 6, an embodiment of the present invention provides a method for identifying the start-up of a fixed-frequency air conditioner, based on the embodiment shown in fig. 2, where the step S40 includes:
step S401, calculating fluctuation characteristics according to the fluctuation times corresponding to each power interval, and judging whether the fluctuation characteristics meet corresponding preset conditions.
And S402, determining the fixed-frequency air conditioner to be started when the fluctuation characteristics meet corresponding preset conditions.
And S403, determining that the fixed-frequency air conditioner is not started when the fluctuation characteristics do not meet corresponding preset conditions.
In this embodiment, the fluctuation feature may reflect a change rule of the fluctuation times, and includes, but is not limited to, a maximum fluctuation time, a minimum fluctuation time, an average fluctuation time, and the like.
That is, when the plurality of fluctuation characteristics all meet corresponding preset conditions, determining that the fixed-frequency air conditioner in the monitoring environment is started; and when any fluctuation characteristic does not meet the corresponding preset condition, determining that the fixed-frequency air conditioner in the monitoring environment is not started.
Further, an embodiment of the present invention provides a method for identifying a start-up of a fixed-frequency air conditioner, based on the embodiment shown in fig. 6, where the step S401 includes:
firstly, according to the fluctuation times corresponding to each power interval, calculating the minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times before the pulse point and the second average fluctuation times after the pulse point.
And then respectively judging whether the minimum fluctuation times are greater than a preset minimum threshold value, whether the maximum fluctuation times are greater than a preset maximum threshold value, and whether the difference value between the first average fluctuation times and the second average fluctuation times is greater than a preset fluctuation threshold value.
Wherein, the calculation formulas of the minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times and the second average fluctuation times are respectively as follows:
Nmin＝Min(Nk)，k∈[1，(L1+L2)/W](3)
Nmax＝Max(Nk)，k∈[1，(L1+L2)/W](4)
in the formula (3), NkIs the number of fluctuations of the corresponding kth power interval in (L1+ L2)/W, NminIs the minimum number of fluctuations; in the formula (4), NmaxThe maximum fluctuation number; in the formula (5), NxFor the x-th power interval in the L1/W power intervals before the pulse point,
is the first averageThe number of fluctuations; in the formula (6), NyFor the y-th power interval corresponding to the L2/W power intervals after the pulse point,
the second average number of oscillations.
The minimum fluctuation times N are obtained by using the formulas (3), (4), (5) and (6)minMaximum number of fluctuations NmaxA first average number of oscillations before the pulse point
And a second average number of fluctuations after the pulse point
Then, a preset minimum threshold num _ min, a preset maximum threshold num _ max and a preset fluctuation threshold N are obtainedthrAnd then the judgment N is made separatelyminWhether it is greater than num _ min, NmaxWhether it is greater than num _ max or not,
whether or not it is greater than Nthr。
Preferably, the step S402 includes: and if the minimum fluctuation times are larger than a preset minimum threshold value, the maximum fluctuation times are larger than a preset maximum threshold value, and the difference value between the first average fluctuation times and the second average fluctuation times is larger than a preset fluctuation threshold value, starting the fixed-frequency air conditioner. The step S402 includes: and if the minimum fluctuation times are less than or equal to a preset minimum threshold value, or the maximum fluctuation times are less than or equal to a preset maximum threshold value, or the difference value between the first average fluctuation times and the second average fluctuation times is less than or equal to a preset fluctuation threshold value, the fixed-frequency air conditioner is not started.
In this embodiment, the preset condition corresponding to the fluctuation feature includes Nmin>num_min、Nmax>num_max、
That is, when N is obtained from the number of fluctuationsmin、Nmax、
Respectively satisfy corresponding preset conditions, i.e. Nmin>num_min、Nmax>num _ max, and
determining the starting of a fixed-frequency air conditioner in the monitoring environment; and if N is obtained according to the fluctuation timesmin、Nmax、
When one of the conditions does not satisfy the corresponding preset condition, namely NminNum _ min or NmaxNum _ max or
It is determined that the fixed-frequency air conditioner in the monitored environment is not activated.
In summary, in this embodiment, a plurality of fluctuation features are obtained according to the fluctuation times corresponding to each power interval, and whether each fluctuation feature satisfies the corresponding preset condition is respectively determined, when N is reachedmin>num_min、Nmin>num _ min and
the fixed-frequency air conditioner in the monitoring environment is determined to be started, the problem that the fixed-frequency air conditioner is mistakenly started and identified can be avoided, and the accuracy of the fixed-frequency air conditioner starting and identifying is further improved.
In one embodiment, when the experimental data sampled is: fs＝10KHz，L1＝200，L2＝800，W＝100，Pamp＝2000W，Pvol＝200W，num_min＝25，num_max＝50，NthrThe graph of the effective power obtained in the case is shown in fig. 7 and the graph of the fluctuation frequency is shown in fig. 8, where the vertical marked line in fig. 7 is the detection of the turning on of the fixed-frequency air conditioner. While the effective power curve obtained in case two is shown in fig. 9The graph of the fluctuation frequency is shown in fig. 10, wherein the vertical marked line in fig. 9 is used for detecting the opening of the fixed-frequency air conditioner. The experiment shows that the method for combining the fluctuation of the effective power and the active power amplitude can accurately and lowly identify the starting of the fixed-frequency air conditioner under the conditions of single electric appliance operation and multi-electric appliance mixed operation. Wherein, the first condition is the condition that a single electric appliance operates: the case where the air conditioner is operated for 90 minutes only at a fixed frequency; case two is the case of multiple-electric-appliance hybrid operation: the condition that 7 devices such as a fixed-frequency air conditioner, an induction cooker, a microwave oven, a refrigerator, a hot water kettle, a washing machine, a television and the like run for 90 minutes at the same time.
Further, an embodiment of the present invention provides a method for identifying a start-up of a fixed-frequency air conditioner, based on the embodiment shown in fig. 2, where the step S40 includes:
inputting the fluctuation times corresponding to the power intervals into a preset judgment model, and receiving a judgment result output by the judgment model; the judgment result includes two types of 'fixed-frequency air conditioner starting' and 'fixed-frequency air conditioner not starting'.
The judgment model is preset with a calculation formula corresponding to a plurality of fluctuation characteristics (including but not limited to a minimum fluctuation frequency, a maximum fluctuation frequency, a first average fluctuation frequency and a second average fluctuation frequency), preset conditions corresponding to the plurality of fluctuation characteristics are set, a calculation result output according to the preset conditions is set, and a judgment result corresponding to the calculation result is set.
Understandably, after the judgment model receives the fluctuation times corresponding to each power interval, firstly, respectively calculating the minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times and the second average fluctuation times by using a calculation formula, then, respectively judging the corresponding minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times and the second average fluctuation times by using preset conditions, if the minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times and the second average fluctuation times meet the corresponding preset conditions, outputting a calculation result of '1', and further outputting a judgment result of 'fixed-frequency air conditioner starting' corresponding to the calculation result of '1'; and if the minimum fluctuation times do not meet the corresponding sub-conditions, or the maximum fluctuation times do not meet the corresponding sub-conditions, or the difference value between the first average fluctuation times and the second average fluctuation times does not meet the corresponding sub-conditions, outputting a calculation result of 0, and further outputting a judgment result of ' fixed-frequency air conditioner is not started ' corresponding to the calculation result of 0 '.
In summary, in the present embodiment, the determining model is used to identify the start-up condition of the constant-frequency air conditioner in the monitoring environment, so as to improve the efficiency of identifying the start-up of the constant-frequency air conditioner.
In an embodiment, an embodiment of the present invention further provides a device for identifying the start-up of a fixed-frequency air conditioner, where the device for identifying the start-up of the fixed-frequency air conditioner includes: the processor is used for executing the fixed-frequency air conditioner starting identification program to realize the steps of the fixed-frequency air conditioner starting identification method in the embodiment.
The fixed-frequency air conditioner starting identification device can be assembled in a terminal, can also be independently used, is only in communication connection with the terminal, or is in any other suitable installation and use mode. The specific embodiment of the start-up identification device for the fixed-frequency air conditioner of the present invention is substantially the same as the following embodiments of the start-up identification method for the fixed-frequency air conditioner, and will not be described herein again.
In addition, an embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores a fixed-frequency air conditioner start identification program, and the fixed-frequency air conditioner start identification program, when executed by a processor, implements the steps of the fixed-frequency air conditioner start identification method in the foregoing embodiments.
The method for implementing the fixed-frequency air conditioner start identification program when executed by the processor according to the present invention may refer to various embodiments of the fixed-frequency air conditioner start identification method of the present invention, and will not be described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of other like elements in the process, method, article, or system in which the element is incorporated.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a smart phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for identifying the starting of a fixed-frequency air conditioner is characterized by comprising the following steps:
acquiring voltage and current of a preset monitoring point in a monitoring environment according to a preset sampling frequency to generate an active power time sequence;
acquiring a pulse point when the fixed-frequency air conditioner is started according to the active power time sequence;
acquiring a plurality of power intervals by taking the pulse point as a base point in the active power time sequence, and respectively counting the fluctuation times corresponding to each power interval;
and judging whether the fixed-frequency air conditioner in the monitoring environment is started or not according to the fluctuation times corresponding to the power intervals.
2. The method for identifying the start-up of the fixed-frequency air conditioner according to claim 1, wherein the step of obtaining the pulse point when the fixed-frequency air conditioner is started up according to the active power time sequence comprises the following steps:
acquiring a power difference value between a first sampling point and a second sampling point based on the active power time sequence, wherein the first sampling point and the second sampling point are two continuous sampling points;
judging whether the power difference value is larger than a preset starting threshold value of the fixed-frequency air conditioner;
and if the power difference value is larger than a preset starting threshold value of the fixed-frequency air conditioner, setting the first sampling point as a pulse point when the fixed-frequency air conditioner is started.
3. The method as claimed in claim 1, wherein the step of obtaining a plurality of power intervals with the pulse point as a base point in the active power timing sequence and counting the number of fluctuation times corresponding to each power interval comprises the steps of:
selecting a first number of sampling points before the pulse point and a second number of sampling points after the pulse point in the active power time sequence, and dividing the active power time sequence corresponding to the first number of acquisition points and the second number of sampling points into a plurality of power intervals with the same number of sampling points;
and respectively counting the fluctuation times corresponding to each power interval.
4. The method for identifying the start-up of a fixed-frequency air conditioner as claimed in claim 3, wherein the step of respectively counting the number of fluctuation times corresponding to each of the power intervals comprises the following steps:
judging whether symbols corresponding to two continuous power difference values in each power interval are different or not;
if the symbols corresponding to two consecutive power difference values are different, judging whether the power change amplitude of the two consecutive power difference values is larger than a preset change threshold value;
if the power variation amplitude of two continuous power difference values is larger than a preset variation threshold value, determining that the power variation amplitude is primary fluctuation;
and counting all the fluctuation times of each power interval.
5. The method for identifying the start-up of a fixed-frequency air conditioner as claimed in claim 4, wherein the calculation formula of the power variation amplitude of the two consecutive power difference values is as follows:
ΔΔP＝|ΔPj+1-ΔPj|
wherein Δ Δ Δ P is the power variation amplitude; j is an element of [1, W ]]And j is the mark position in the corresponding power interval; w is the number of sampling points in the power interval; delta PjThe corresponding power difference value at the current marking position is obtained; delta Pj+1The corresponding power difference at the next mark position.
6. The method for identifying the start-up of a fixed-frequency air conditioner according to claim 1, wherein the step of determining whether the fixed-frequency air conditioner in the monitored environment is started up according to the fluctuation times corresponding to each of the power intervals comprises the following steps:
calculating fluctuation characteristics according to the fluctuation times corresponding to the power intervals, and judging whether the fluctuation characteristics meet corresponding preset conditions or not;
when the fluctuation characteristics meet corresponding preset conditions, determining that the fixed-frequency air conditioner is started;
and when the fluctuation characteristics do not meet corresponding preset conditions, determining that the fixed-frequency air conditioner is not started.
7. The method for identifying the start-up of the fixed-frequency air conditioner according to claim 6, wherein the step of calculating the fluctuation characteristics according to the fluctuation times corresponding to each power interval and judging whether the fluctuation characteristics satisfy the corresponding preset conditions comprises the following steps:
calculating the minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times before the pulse point and the second average fluctuation times after the pulse point according to the fluctuation times corresponding to the power intervals;
and respectively judging whether the minimum fluctuation times are greater than a preset minimum threshold value, whether the maximum fluctuation times are greater than a preset maximum threshold value, and whether the difference value between the first average fluctuation times and the second average fluctuation times is greater than a preset fluctuation threshold value.
8. The method for identifying the start-up of the fixed-frequency air conditioner according to claim 7, wherein the step of determining the start-up of the fixed-frequency air conditioner when the fluctuation characteristics satisfy corresponding preset conditions comprises the following steps:
and if the minimum fluctuation times are larger than a preset minimum threshold value, the maximum fluctuation times are larger than a preset maximum threshold value, and the difference value between the first average fluctuation times and the second average fluctuation times is larger than a preset fluctuation threshold value, starting the fixed-frequency air conditioner.
9. The utility model provides a fixed frequency air conditioner starts discerning device which characterized in that includes: the device comprises a memory, a processor and a fixed-frequency air conditioner starting identification program which is stored on the memory and driven by the processor, wherein the fixed-frequency air conditioner starting identification program realizes the steps of the fixed-frequency air conditioner starting identification method according to any one of claims 1 to 8 when being executed by the processor.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores a fixed-frequency air-conditioner start-up identification program, and the fixed-frequency air-conditioner start-up identification program, when executed by a processor, implements the steps of the fixed-frequency air-conditioner start-up identification method according to any one of claims 1 to 8.
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