WO2021128944A1

WO2021128944A1 - Identification method and device for starting of fixed-frequency air conditioner, and storage medium

Info

Publication number: WO2021128944A1
Application number: PCT/CN2020/113961
Authority: WO
Inventors: 刘建; 任智仁; 吕新伟; 郑小平; 汤博; 汪龙峰; 梁家阁; 刘宇轩
Original assignee: 威胜集团有限公司
Priority date: 2019-12-26
Filing date: 2020-09-08
Publication date: 2021-07-01
Also published as: CN110988570B; CN110988570A

Abstract

An identification method and device for starting of a fixed-frequency air conditioner, and a storage medium. The identification method for starting of the fixed-frequency air conditioner comprises: acquiring the voltage and current of a preset monitoring point in a monitoring environment according to a preset sampling frequency, and generating an active power time sequence (S10); obtaining, according to the active power time sequence, a pulse point at the moment that the fixed-frequency air conditioner is started (S20); obtaining a plurality of power intervals in the active power time sequence by taking the pulse point as a base point, and respectively collecting statistics about the number of times of fluctuations corresponding to each power interval (S30); and determining, according to the number of times of fluctuations corresponding to each power interval, whether the fixed-frequency air conditioner in the monitoring environment is started (S40). According to the provided technical solution, in the case that a single electric appliance operates and multiple electric appliances operate in a mixed mode, starting of the fixed-frequency air conditioner is accurately identified, and the algorithm complexity is reduced.

Description

Start identification method, device and storage medium for fixed frequency air conditioner

Technical field

The invention relates to the technical field of load monitoring, and in particular to a method, device and storage medium for starting identification of a fixed-frequency air conditioner.

Background technique

Non-intrusive load identification refers to identifying the operating status of household loads in the monitored environment through real-time voltage and current data collected from the electric meter. Air-conditioning is one of the main loads in household electricity. In the complex situation of simultaneous operation of multiple loads, efficient monitoring of fixed-frequency air-conditioning is one of the difficulties and key points in the field of non-intrusive load identification.

At present, a supervised non-intrusive load identification method usually requires a large amount of data training. In this method, due to the large amount of data, the algorithm complexity is high, and the required hardware requirements are high. For the unsupervised non-intrusive load identification method, it usually finds some characteristics after the fixed-frequency air conditioner is started, such as the steady-state power value, and then sets different thresholds for each characteristic to determine whether it is a fixed-frequency air conditioner. The threshold setting in the method usually only considers the case of a single constant frequency air conditioner. In the case of a mixture of multiple electrical appliances, the problem of false detection will occur due to the change of the threshold.

Summary of the invention

The main purpose of the present invention is to provide a fixed-frequency air conditioner startup identification method, device and storage medium, which aims to solve the technical problems of the existing non-intrusive load identification method that the algorithm is high in complexity and the identification accuracy is difficult to ensure.

In order to achieve the above objective, the present invention provides a fixed-frequency air conditioner startup identification method. The fixed-frequency air conditioner startup identification method includes:

Collect the voltage and current of the preset monitoring point in the monitoring environment according to the preset sampling frequency, and generate the active power sequence;

Obtaining the pulse point when the fixed frequency air conditioner is started according to the active power sequence;

Acquire multiple power intervals in the active power sequence using the pulse point as a base point, and respectively count the number of fluctuations corresponding to each of the power intervals;

Determine whether the fixed-frequency air conditioner in the monitored environment is activated according to the number of fluctuations corresponding to each of the power intervals.

Preferably, the obtaining the pulse point when the fixed frequency air conditioner is started according to the active power sequence includes the following steps:

Acquiring a power difference between a first sampling point and a second sampling point based on the active power time sequence, where the first sampling point and the second sampling point are two consecutive sampling points;

Judging whether the power difference is greater than a preset starting threshold of the fixed-frequency air conditioner;

If the power difference is greater than the preset starting threshold of the fixed-frequency air conditioner, the first sampling point is set as a pulse point when the fixed-frequency air conditioner is started.

Preferably, the acquiring a plurality of power intervals in the active power sequence using the pulse point as a base point, and separately counting the number of fluctuations corresponding to each of the power intervals, includes the following steps:

In the active power sequence, the first number of sampling points before the pulse point and the second number of sampling points after the pulse point are selected, which will be compared with the first number of sampling points and the second number of sampling points. The active power time sequence corresponding to a point is divided into a plurality of the power intervals with the same number of sampling points;

The number of fluctuations corresponding to each of the power intervals is separately counted.

Preferably, the separately counting the number of fluctuations corresponding to each of the power intervals includes the following steps:

It is determined whether the symbols corresponding to the two consecutive power differences in each of the power intervals are different.

If the signs corresponding to the two consecutive power differences are different, it is determined whether the power change amplitudes of the two consecutive power differences are greater than a preset change threshold.

If the power change amplitude of the two consecutive power differences is greater than the preset change threshold, it is determined to be a fluctuation.

Count all the number of fluctuations in each of the power intervals.

Preferably, the formula for calculating the power change amplitude of the two consecutive power differences is:

ΔΔP=|ΔP _j+1 -ΔP _j |

Among them, ΔΔP is the power change amplitude; j∈[1,W], and j is the mark position in the corresponding power interval; W is the number of sampling points in the power interval; ΔP _j is the two consecutive sampling points at the current mark position The power difference between; ΔP _j+1 is the power difference between two consecutive sampling points at the next mark position.

Preferably, the judging whether the fixed-frequency air conditioner in the monitoring environment is activated according to the number of fluctuations corresponding to each of the power intervals includes the following steps:

Calculating fluctuation characteristics according to the number of fluctuations corresponding to each of the power intervals, and determining whether the fluctuation characteristics meet corresponding preset conditions;

Determining that the fixed-frequency air conditioner is started when the fluctuation characteristic meets the corresponding preset condition;

When the number of fluctuations does not meet the corresponding preset condition, it is determined that the fixed frequency air conditioner is not started.

Preferably, the calculating a fluctuation characteristic according to the number of fluctuations corresponding to each of the power intervals, and determining whether the fluctuation characteristic meets a corresponding preset condition, includes the following steps:

Obtaining the minimum number of fluctuations, the maximum number of fluctuations, the first average number of fluctuations before the pulse point, and the second average number of fluctuations after the pulse point according to the number of fluctuations corresponding to each of the power intervals;

Determine whether the minimum number of fluctuations is greater than a preset minimum threshold, whether the maximum number of fluctuations is greater than a preset maximum threshold, and whether the difference between the first average number of fluctuations and the second average number of fluctuations is greater than a preset Fluctuation threshold.

Preferably, the determining that the fixed-frequency air conditioner is started when the fluctuation characteristic meets the corresponding preset condition includes the following steps:

If the minimum number of fluctuations is greater than the preset minimum threshold, the maximum number of fluctuations is greater than the preset maximum threshold, and the difference between the first average number of fluctuations and the second average number of fluctuations is greater than the preset fluctuation threshold, then the set The frequency air conditioner starts.

In addition, in order to achieve the above-mentioned object, the present invention also provides a fixed-frequency air conditioner startup identification device, including: a memory, a processor, and a fixed-frequency air conditioner startup identification program stored in the memory and driven by the processor. When the fixed-frequency air conditioner startup identification program is executed by the processor, the steps of the above-mentioned fixed-frequency air conditioner startup identification method are realized.

In a third aspect, in order to achieve the above object, the present invention also provides a computer-readable storage medium having a fixed-frequency air conditioner startup identification program stored on the computer-readable storage medium, and the fixed-frequency air conditioner startup identification program is executed by a processor When realizing the steps of the above-mentioned fixed-frequency air conditioner starting identification method.

After obtaining the active power sequence based on the voltage and voltage collected at the preset sampling frequency, the present invention first detects the pulse point when the fixed-frequency air conditioner is started according to the active power amplitude corresponding to the sampling point in the active power sequence, and then performs the active power sequence Take the pulse point as the base point to obtain multiple power intervals, and respectively count the fluctuation times corresponding to each power interval, and finally judge whether the fixed frequency air conditioner in the monitoring environment is activated according to the fluctuation times corresponding to each power interval. Compared with the existing non-intrusive load identification method, the present invention only needs to calculate a single characteristic quantity-effective power, and use the amplitude of the active power to detect the pulse point when the fixed-frequency air conditioner is started. After the pulse point, the fixed-frequency follow-up identification work starts, otherwise no follow-up calculation will be performed, which reduces the complexity of the algorithm and reduces the hardware requirements; secondly, the present invention uses the The volatility of active power can accurately identify fixed-frequency air conditioners.

Description of the drawings

FIG. 1 is a schematic structural diagram of a terminal in a hardware operating environment involved in a solution of an embodiment of the present invention;

2 is a schematic flowchart of an embodiment of a method for starting identification of a fixed-frequency air conditioner according to the present invention;

FIG. 3 is a schematic diagram of the detailed flow of step S20 in FIG. 2;

FIG. 4 is a schematic diagram of the detailed flow of step S30 in FIG. 2;

FIG. 5 is a schematic diagram of the detailed flow of step S302 in FIG. 4;

FIG. 6 is a detailed flowchart of step S40 in FIG. 2;

FIG. 7 is a graph of active power in case one in an embodiment of a method for starting identification of a fixed-frequency air conditioner according to the present invention;

FIG. 8 is a graph of fluctuation frequency in case one in an embodiment of a method for starting identification of a fixed-frequency air conditioner according to the present invention;

Fig. 9 is a graph of active power in case 2 in an embodiment of the method for identifying starting of a fixed-frequency air conditioner according to the present invention;

FIG. 10 is a graph of fluctuation frequency in case 2 of the first embodiment of the identification method for starting the fixed-frequency air conditioner according to the present invention.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present invention, but not used to limit the present invention.

Those skilled in the art can understand that the implementation subject in the embodiment of the fixed-frequency air conditioner startup identification method of the present invention can be a terminal, such as a PC, a smart phone, a tablet computer, a portable computer, etc., or any other terminal device that can implement the present invention. The device for the identification method for starting the fixed frequency air conditioner is invented. In the embodiment of the identification method for starting the fixed frequency air conditioner of the present invention, the terminal is preferred as the implementation subject; in the embodiment of the device for starting identification of the fixed frequency air conditioner of the present invention, the device for identifying the start In the foregoing terminal, it may also be independent of the foregoing terminal, and only communicate with the foregoing terminal, or any other applicable installation and use method.

As shown in Fig. 1, Fig. 1 is a schematic diagram of a terminal structure of a hardware operating environment involved in a solution of an embodiment of the present invention.

The terminal in the embodiment of the present invention may be a PC, or a mobile terminal device such as a smart phone, a tablet computer, and a portable computer.

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. Among them, the processor 1001 may optionally be a CPU. The communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may include a standard wired interface and 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 independent of the aforementioned processor 1001.

Optionally, the terminal may also include a display screen, a camera, a radio frequency circuit, a sensor, an audio circuit, a communication module, and so on. Among them, sensors such as light sensors, target detection sensors and other sensors. Specifically, the light sensor may include an ambient light sensor, which can adjust the brightness of the display screen according to the brightness of the ambient light. When the target detection sensor detects the target, it turns on the display screen, otherwise it turns off the display screen. Of course, the terminal can also be equipped with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which will not be repeated here.

Those skilled in the art can understand that the terminal structure shown in FIG. 1 does not constitute a limitation on the terminal, and may include more or less components than shown in the figure, or combine some components, or arrange different components.

As shown in FIG. 1, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a fixed-frequency air conditioner startup identification program.

In the terminal shown in FIG. 1, the network interface 1004 is mainly used to connect to a back-end server and communicate with the back-end server; the user interface 1003 is mainly used to connect to a client (user side) to communicate with the client; and the processor 1001 can be used to call the fixed-frequency air conditioner startup identification program stored in the memory 1005, and execute the steps of the fixed-frequency air conditioner startup identification method as described below.

As shown in FIG. 2, an embodiment of the present invention provides a fixed-frequency air conditioner startup identification method, and the fixed-frequency air conditioner startup identification method includes:

In step S10, the voltage and current of the preset monitoring point in the monitoring environment are collected according to the preset sampling frequency, and the active power sequence is generated.

The preset sampling frequency F _S is used to sample the voltage and current of the preset monitoring points in the monitoring environment in real time using voltage sensors and current sensors, and the active power is calculated according to the voltage and current collected in real time, and then the active power sequence is obtained. The elements in the active power sequence P(x) are P ₁ , P ₂ , P ₃ , ..., P _n in sequence. Wherein, the preset sampling frequency F _s can be set according to requirements, for example, 10KHz. The preset monitoring point may be the location of the total power source in the monitoring environment.

Step S20: Acquire the pulse point when the fixed frequency air conditioner is started according to the active power sequence.

It is understandable that since the commonly used compressor equipment in the home includes refrigerators, fixed frequency air conditioners and inverter air conditioners, when the fixed frequency air conditioners are started, the power impact during the lifting stage is very large, and the power range at startup is between 3000W and 15000W; The start-up of the refrigerator is divided into two situations. Some manufacturers' inverter air conditioners start without a start pulse, and some manufacturers' inverter air conditioners start with a power range between 600W and 1200W when starting; the power range when starting a refrigerator is about 1000W. Therefore, the fixed-frequency air conditioner can be distinguished from the compressor equipment by the magnitude of the active power.

Specifically, the effective power amplitude corresponding to each sampling point in the active power sequence is used to detect the pulse point when the fixed frequency air conditioner is started. Only when the pulse point at the start of the fixed frequency air conditioner is detected, the subsequent start identification work of the fixed frequency air conditioner is started. .

Step S30: Acquire multiple power intervals in the active power sequence using the pulse point as a base point, and respectively count the number of fluctuations corresponding to each of the power intervals.

It is understandable that since the effective power fluctuation frequency of non-compressor equipment is relatively low when starting, the effective power fluctuation frequency when the air conditioner starts is very large, and the amplitude of the fluctuation is between tens of watts to hundreds of watts, so it can be passed Count the fluctuation frequency of effective power to distinguish compressor equipment from non-compressor equipment. Among them, non-compressor equipment such as induction cookers, microwave ovens, electric kettles, rice cookers, televisions, pumping units, etc. Among them, the greater the frequency of fluctuations, the greater the number of fluctuations.

Specifically, using the pulse point when the fixed-frequency air conditioner is started as the base point, the active power sequence including the base point is divided into multiple power intervals with the same interval size, that is, each power interval contains the same number of sampling points , And then analyze the extreme points in each power interval, and count the number of extreme points in each power interval. The number of extreme points in the power interval is also the number of fluctuations corresponding to the power interval. Among them, the multiple power intervals include three or more than three power intervals.

Preferably, the fluctuation frequency corresponding to each power interval can be calculated according to the size of the interval of the power interval and the number of fluctuations corresponding to each power interval. Exemplarily, if the size of the power interval is W (that is, the power interval includes W sampling points), the sampling frequency is F _s , and the number of fluctuations is N, the fluctuation frequency is F _N =N/(W/F _s ).

Step S40: Determine whether the fixed-frequency air conditioner in the monitored environment is activated according to the number of fluctuations corresponding to each power interval.

Specifically, after the number of fluctuations corresponding to each power interval is obtained in step S30, multiple fluctuation characteristics are obtained by calculating the number of fluctuations corresponding to each power interval, and the monitoring environment is determined based on the multiple fluctuation characteristics and corresponding preset conditions. Whether the fixed frequency air conditioner is activated in the system. It is understandable that when multiple fluctuation characteristics meet the corresponding preset conditions, it is determined that the fixed-frequency air conditioner in the monitoring environment is activated; otherwise, the fixed-frequency air conditioner is not activated, and then returns to step S10 to check the preset monitoring points in the monitoring environment. The current and voltage are collected, and the active power sequence is calculated to accurately determine whether the fixed frequency air conditioner is activated by the method of integrating the volatility of the active power and the amplitude of the active power.

To sum up, in this embodiment, after the active power sequence is obtained from the voltage and voltage collected at the preset sampling frequency, the pulse point when the fixed-frequency air conditioner is started is first detected according to the active power amplitude corresponding to the sampling point in the active power sequence. , And then acquire multiple power intervals based on the pulse point in the active power sequence, and count the fluctuation times corresponding to each power interval respectively, and finally judge whether the fixed-frequency air conditioner in the monitoring environment is activated according to the fluctuation times corresponding to each power interval. This embodiment only needs to calculate a single characteristic quantity-effective power, and use the amplitude of active power to detect the pulse point when the fixed-frequency air conditioner is started, and then start the fixed-frequency subsequent start identification work after the pulse point when the fixed-frequency air conditioner is started is detected. Otherwise, no subsequent calculation will be performed, which reduces the complexity of the algorithm and reduces the hardware requirements; secondly, in the case of a single appliance running and multiple appliances running in a mixed operation, the volatility of active power can be used to accurately identify the fixed frequency The air conditioner starts. In addition, this embodiment can accurately identify the start-up of fixed-frequency air conditioners without entering the residents’ homes, and has the advantages of simplicity, economy, and easy promotion and application. The identification results help users understand the start-up and operation characteristics and energy consumption of high-power fixed-frequency air conditioners. The situation can be applied to the demand-side management of air-conditioning appliances by power grid companies.

Further, as shown in FIG. 3, an embodiment of the present invention provides a fixed-frequency air conditioner startup identification method. Based on the embodiment shown in FIG. 2, the step S20 includes:

Step S201: Obtain a power difference between a first sampling point and a second sampling point based on the active power time sequence, where the first sampling point and the second sampling point are two consecutive sampling points. Preferably, the first sampling point and the second sampling point are set in chronological order, that is, the first sampling point is before the second sampling point.

Step S202: It is determined whether the power difference is greater than a preset starting threshold of the fixed-frequency air conditioner.

Step S203: If the power difference is greater than the preset starting threshold of the fixed-frequency air conditioner, the first sampling point is set as the pulse point when the fixed-frequency air conditioner is started. If the power difference is less than or equal to the preset starting threshold of the fixed-frequency air conditioner, return to step S201, that is, continue to repeat S201 until it is determined that the first sampling point and the second sampling point are determined. The power difference between the two is greater than the preset starting threshold of the fixed-frequency air conditioner, and the first sampling point is set as the pulse point when the fixed-frequency air conditioner is started.

In this embodiment, the formula for calculating the power difference between the first sampling point and the second sampling point is:

ΔP=P _i+1 -P _i (1)

Formula (1), ΔP is a power difference; I sampling points corresponding to the mark position; P _i is the effective power value of the first sampling point; P _{i + 1} is the value of the effective power of the second sampling point. It is understandable that the current mark position corresponds to the first sampling point.

After obtaining the power difference ΔP between the first sampling point and the second sampling point by using equation (1), obtain the preset startup threshold P _amp preset by the fixed-frequency air conditioner, and determine whether ΔP is greater than P _amp , if ΔP>P _amp , it is determined that the first sampling point may be the pulse point when the fixed-frequency air conditioner is started, and step S30 may be entered to further identify the fixed-frequency air conditioner. If ΔP≤P _amp , then return to step S201. At this time, first update the first sampling point and the second sampling point (that is, the mark position will be moved one sampling point later, and the previous second sampling point will be updated to the first sampling point. Point, then get the next sampling point in sequence and update it to the second sampling point), and then use the power difference calculation formula to get the updated power difference ΔP between the first sampling point and the second sampling point, and It is judged whether ΔP is greater than P _amp , until it is judged that ΔP>P _amp , and the first sampling point is set as the pulse point when the fixed frequency air conditioner is started.

In summary, in this embodiment, the power difference between two consecutive sampling points is compared with the preset starting threshold. When ΔP>P _amp , the corresponding sampling point at the marked position is set as the value when the fixed-frequency air conditioner is started. At the pulse point, this embodiment accurately judges that the fixed-frequency air conditioner may start based on the power amplitude when the air conditioner is started, and further identifies the fixed-frequency air conditioner to start in the subsequent steps, which can reduce unnecessary detection and identification workload.

Further, as shown in FIG. 4, an embodiment of the present invention provides a fixed-frequency air conditioner startup identification method. Based on the embodiment shown in FIG. 2, the step S30 includes:

In step S301, the first number of sampling points before the pulse point and the second number of sampling points after the pulse point are selected in the active power time sequence, which will be compared with the first number of sampling points and the second number of sampling points. The active power time sequence corresponding to the number of sampling points is divided into a plurality of the power intervals with the same number of sampling points.

Step S302: Count the number of fluctuations corresponding to each of the power intervals respectively.

In this embodiment, in the active power sequence, the pulse point when the fixed-frequency air conditioner is started is the base point, and L1 sampling points before the pulse point and L2 sampling points after the pulse point are selected, and the number of sampling points is W as one sampling point. For the power interval, the active power sequence corresponding to the (L1+L2) sampling points is divided into (L1+L2)/W power intervals, and then the fluctuation times are counted for the (L1+L2)/W power intervals. Preferably, L1 and L2 can be the same or different; W≥3, that is, W sampling points include three or more sampling points, and both L1 and L2 can be divisible by W.

In summary, the power interval before and after the pulse point obtained in this embodiment can accurately reflect the volatility of active power, and the fixed-frequency air conditioner can be accurately operated from a single appliance to a mixed operation of multiple appliances through the volatility of active power. Identify it.

Further, as shown in FIG. 5, an embodiment of the present invention provides a fixed-frequency air conditioner startup identification method. Based on the embodiment shown in FIG. 4, the step S302 includes:

Step S3021: Determine whether the symbols corresponding to the two consecutive power differences in each power interval are different.

In step S3022, if the symbols corresponding to the two consecutive power differences are different, it is determined whether the power change amplitudes of the two consecutive power differences are greater than a preset change threshold.

In step S3023, if the power variation amplitude of the two consecutive power differences is greater than a preset variation threshold, it is determined as a fluctuation.

Step S3024: Count all the fluctuation times of each power interval.

As a preference, the formula for calculating the power change amplitude of two consecutive power differences is:

ΔΔP=|ΔP _j+1 -ΔP _j | (2)

In formula (2), ΔΔP is the power change amplitude; j∈[1,W], and j is the mark position corresponding to the power interval; W is the number of sampling points in the power interval; ΔP _j is The corresponding power difference at the current mark position; ΔP _j+1 is the corresponding power difference at the next mark position.

Corresponding to each power interval, use the power difference calculation formula to obtain the ΔP between two consecutive sampling points, and then determine whether the signs of the two consecutive power difference values in each power interval are different. The sign corresponding to the difference is different, that is, if the condition ΔP _j+1 ＞0, ΔP _j <0 or ΔP _j+1 <0, ΔP _j ＞0 is satisfied, the preset change threshold P _{vol is obtained} and judged to use Equation (2) obtains whether ΔΔP is greater than P _vol , if ΔΔP> P _vol , then it is judged that there is a fluctuation at the mark position, that is, there is a limit value at the mark position, and repeat the steps S3021 to S3023 to obtain ( L1+L2)/W the number of fluctuations corresponding to the power interval. If the symbols corresponding to the two consecutive power differences are the same, return to step S3021 to repeatedly determine whether the symbols corresponding to the two consecutive power differences in each power interval are different, that is, continue to detect the limit value. If ΔΔP≤P _vol , it is judged that there is no fluctuation at the mark position, and step S3021 is returned to, and it is repeatedly judged whether the symbols corresponding to the two consecutive power differences in each power interval are different, until two consecutive points are detected. The sign corresponding to the power difference is different, that is, continue to detect the limit value.

In this embodiment, the number of fluctuations in each power interval can be counted at the same time, or the number of fluctuations in a certain power interval can be optimized, for example, the number of fluctuations in each power interval can be counted sequentially in a time sequence.

Further, as shown in FIG. 6, an embodiment of the present invention provides a fixed-frequency air conditioner startup identification method. Based on the embodiment shown in FIG. 2, the step S40 includes:

Step S401: Calculate a fluctuation feature according to the number of fluctuations corresponding to each power interval, and determine whether the fluctuation feature meets a corresponding preset condition.

Step S402: When the fluctuation characteristic meets a corresponding preset condition, it is determined that the fixed-frequency air conditioner is started.

Step S403: When the number of fluctuations does not meet the corresponding preset condition, it is determined that the fixed-frequency air conditioner is not started.

In this embodiment, the fluctuation characteristics may reflect the change rule of the number of fluctuations, and include but are not limited to the maximum number of fluctuations, the minimum number of fluctuations, and the average number of fluctuations.

That is, when multiple fluctuation characteristics meet the corresponding preset conditions, the fixed-frequency air conditioner in the monitoring environment is determined to start; and when any one of the fluctuation characteristics does not meet the corresponding preset condition, the fixed-frequency air conditioner in the monitoring environment is determined The air conditioner is not activated.

Further, an embodiment of the present invention provides a fixed-frequency air conditioner startup identification method. Based on the embodiment shown in FIG. 6, the step S401 includes:

First, according to the number of fluctuations corresponding to each of the power intervals, the minimum number of fluctuations, the maximum number of fluctuations, the first average number of fluctuations before the pulse point, and the second average number of fluctuations after the pulse point are obtained.

Then respectively determine whether the minimum number of fluctuations is greater than a preset minimum threshold, whether the maximum number of fluctuations is greater than a preset maximum threshold, and whether the difference between the first average number of fluctuations and the second average number of fluctuations is greater than the preset Set the fluctuation threshold.

Among them, the calculation formulas for the minimum number of fluctuations, the maximum number of fluctuations, the first average number of fluctuations, and the second average number of fluctuations are:

N _min =Min(N _k ), k∈[1, (L1+L2)/W] (3)

N _max ＝Max(N _k ), k∈[1, (L1+L2)/W] (4)

In formula (3), N _k is the number of fluctuations in the k-th power interval corresponding to (L1+L2)/W, and N _min is the minimum number of fluctuations; in formula (4), N _max is the maximum number of fluctuations; In 5), N _x is the x-th power interval in the L1/W power interval before the pulse point,

Is the first average number of fluctuations; in formula (6), N _y is the y-th power interval in the L2/W power interval after the pulse point,

Is the first average number of fluctuations.

Utilize formula (3), formula (4), formula (5) and formula (6) to obtain the minimum number of fluctuations N _min , the maximum number of fluctuations N _max , and the first average number of fluctuations before the pulse point, respectively

And the second average number of fluctuations after the pulse point

Then, obtain the preset minimum threshold num_min, preset maximum threshold num_max, and preset fluctuation threshold N _thr , and then determine whether N _min is greater than num_min and N _max is greater than num_max,

Is it greater than N _thr .

Preferably, the step S402 includes: if the minimum number of fluctuations is greater than the preset minimum threshold, the maximum number of fluctuations is greater than the preset maximum threshold, and the difference between the first average number of fluctuations and the second average number of fluctuations If it is greater than the preset fluctuation threshold, the fixed frequency air conditioner is started. The step S402 includes: if the minimum number of fluctuations is less than or equal to the preset minimum threshold, or the maximum number of fluctuations is less than or equal to the preset maximum threshold, or the difference between the first average number of fluctuations and the second average number of fluctuations If the value is less than or equal to the preset fluctuation threshold, it is determined that the fixed frequency air conditioner is not started.

In this embodiment, the preset conditions corresponding to the fluctuation feature include N _min > num_min, N _max > num_max,

That is, when N _min , N _max ,

When the corresponding preset conditions are satisfied respectively, that is, N _min ＞num_min, N _max ＞num_max, and

It is determined that the fixed-frequency air conditioner in the monitoring environment is started; and if the N _min , N _max ,

When a certain one does not meet the corresponding preset condition, that is, N _min ≤num_min or N _max ≤num_max or

It is determined that the fixed frequency air conditioner in the monitoring environment is not started.

In summary, this embodiment obtains multiple fluctuation characteristics according to the number of fluctuations corresponding to each power interval, and respectively determines whether each fluctuation feature meets the corresponding preset conditions, when N _min > num_min, N _min > num_min and

Then it is determined that the fixed frequency air conditioner in the monitoring environment is started. This embodiment can avoid the problem of the fixed frequency air conditioner starting identification error, and further improve the accuracy of the fixed frequency air conditioner starting identification.

In an embodiment, when the sampled experimental data is: F _s =10KHz, L1=200, L2=800, W=100, P _amp =2000W, P _vol =200W, num_min=25, num_max=50, N _thr =35, the effective power curve obtained in the situation is shown in 7 and the fluctuating frequency curve is shown in FIG. 8, where the vertical mark line in FIG. 7 is the detection of the turning on of the fixed frequency air conditioner. The effective power curve obtained in the second case is shown in Fig. 9 and the fluctuation frequency curve is shown in Fig. 10, where the vertical mark line in Fig. 9 indicates that the fixed-frequency air conditioner is turned on. The above experiments show that the method of the present invention combining the volatility of the effective power and the amplitude of the active power can accurately and lowly identify the start of the fixed-frequency air conditioner from a single electrical appliance operation and a multi-appliance mixed operation. Among them, the first situation is the operation of a single appliance: only the fixed-frequency air conditioner runs for 90 minutes; the second situation is the mixed operation of multiple appliances: fixed-frequency air conditioners, induction cookers, microwave ovens, refrigerators, kettles, washing machines, TVs, etc. 7 A situation where two devices are running for 90 minutes at the same time.

Further, an embodiment of the present invention provides a fixed-frequency air conditioner startup identification method. Based on the embodiment shown in FIG. 2 above, the step S40 includes:

Input the number of fluctuations corresponding to each power interval into the preset judgment model, and receive the judgment result output by the judgment model; the judgment result includes "fixed frequency air conditioner activated" and "fixed frequency air conditioner not started" .

Wherein, in the judgment model, calculation formulas corresponding to multiple fluctuation features (including but not limited to the minimum number of fluctuations, the maximum number of fluctuations, the first average number of fluctuations, and the second average number of fluctuations) are preset, and the corresponding calculation formulas for the multiple fluctuation features are set. Preset condition, set the calculation result output according to the preset condition, and set the judgment result corresponding to the calculation result.

Understandably, after the judgment model receives the fluctuation times corresponding to each power interval, it first uses the calculation formula to calculate the minimum fluctuation times, the maximum fluctuation times, the first average fluctuation times, and the second average fluctuation times, and then uses the preset conditions to judge separately Corresponding minimum number of fluctuations, maximum number of fluctuations, first average number of fluctuations and second average number of fluctuations, if the minimum number of fluctuations, maximum number of fluctuations, first average number of fluctuations and second average number of fluctuations all meet the corresponding preset conditions, Then the output calculation result is "1", and then the judgment result of "fixed frequency air conditioner start" corresponding to the calculation result of "1" is output; if the minimum number of fluctuations does not meet the corresponding sub-condition, or the maximum number of fluctuations does not meet the corresponding If the sub-condition, or the difference between the first average number of fluctuations and the second average number of fluctuations does not meet the corresponding sub-condition, the output calculation result is "0", and the "fixed frequency air-conditioning failure" corresponding to the calculation result of "0" The judgment result of "Start" is output.

In summary, in this embodiment, the determination model is used to identify the starting situation of the fixed-frequency air conditioner in the monitoring environment, which can improve the efficiency of starting and identifying the fixed-frequency air conditioner.

In one embodiment, the embodiment of the present invention also provides a fixed-frequency air conditioner startup identification device, the fixed-frequency air conditioner startup identification device includes: a memory, a processor, and a device stored in the memory and driven by the processor A fixed-frequency air conditioner startup identification program, which implements the steps of the fixed-frequency air conditioner startup identification method in the foregoing embodiment when the fixed-frequency air conditioner startup identification program is executed by the processor.

The fixed-frequency air conditioner startup identification device of the present invention can be assembled in the terminal, or can be used independently, only for communication connection with the terminal, or any other applicable installation and use method. The specific embodiment of the fixed-frequency air conditioner starting identification device of the present invention is basically the same as the following embodiments of the fixed-frequency air conditioner starting identification method, which will not be repeated here.

In addition, the embodiment of the present invention also provides a computer storage medium, the computer storage medium stores a fixed-frequency air conditioner startup identification program, and the fixed-frequency air conditioner startup identification program is executed by a processor to realize the setting as in the above-mentioned embodiment. Steps of the frequency air conditioner start-up identification method.

The method implemented when the fixed-frequency air conditioner startup identification program of the present invention is executed by the processor can refer to the various embodiments of the fixed-frequency air conditioner startup identification method of the present invention, which will not be repeated here.

It should be noted that in this article, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, It also includes other elements not explicitly listed, or elements inherent to the process, method, article, or system. If there are no more restrictions, the phrase "includes a..." element does not exclude the existence of other identical elements in the process, method, article, or system that includes the element.

The sequence numbers of the foregoing embodiments of the present invention are only for description, and do not represent the superiority or inferiority of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product in essence or a part that contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disk, optical disk), including several instructions to make a terminal device (which can be an OLED TV, mobile phone, computer, server, or network device, etc.) execute the method described in each embodiment of the present invention.

The above are only preferred embodiments of the present invention, and do not limit the scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the description and drawings of the present invention, or directly or indirectly applied to other related technical fields , The same reason is included in the scope of patent protection of the present invention.

Claims

A method for starting identification of a fixed-frequency air conditioner is characterized in that it comprises the following steps:

Collect the voltage and current of the preset monitoring point in the monitoring environment according to the preset sampling frequency, and generate the active power sequence;

Obtaining the pulse point when the fixed frequency air conditioner is started according to the active power sequence;

Acquire multiple power intervals in the active power sequence using the pulse point as a base point, and respectively count the number of fluctuations corresponding to each of the power intervals;

Determine whether the fixed-frequency air conditioner in the monitoring environment is activated according to the number of fluctuations corresponding to each power interval.
The fixed-frequency air conditioner startup identification method according to claim 1, wherein the obtaining the pulse point when the fixed-frequency air conditioner is started according to the active power sequence includes the following steps:

Acquiring a power difference between a first sampling point and a second sampling point based on the active power time sequence, where the first sampling point and the second sampling point are two consecutive sampling points;

Judging whether the power difference is greater than a preset starting threshold of the fixed-frequency air conditioner;

If the power difference is greater than the preset starting threshold of the fixed-frequency air conditioner, the first sampling point is set as a pulse point when the fixed-frequency air conditioner is started.
The fixed-frequency air conditioner startup identification method according to claim 1, characterized in that, in the active power sequence, the pulse point is used as a base point to obtain a plurality of power intervals, and the corresponding power intervals of each of the power intervals are respectively counted. The number of fluctuations, including the following steps:

In the active power sequence, the first number of sampling points before the pulse point and the second number of sampling points after the pulse point are selected, which will be compared with the first number of sampling points and the second number of sampling points. The active power time sequence corresponding to a point is divided into a plurality of the power intervals with the same number of sampling points;

The number of fluctuations corresponding to each of the power intervals is separately counted.
The fixed-frequency air conditioner startup identification method according to claim 3, wherein the separately counting the number of fluctuations corresponding to each of the power intervals includes the following steps:

Judging whether the symbols corresponding to two consecutive power difference values in each of the power intervals are different;

If the symbols corresponding to the two consecutive power differences are different, determining whether the power change amplitudes of the two consecutive power differences are greater than a preset change threshold;

If the power change amplitude of the two consecutive power differences is greater than the preset change threshold, it is determined to be a fluctuation;

Count all the number of fluctuations in each of the power intervals.
The fixed-frequency air conditioner startup identification method according to claim 4, wherein the calculation formula of the power change range of the two consecutive power differences is:

ΔΔP=|ΔP j+1 -ΔP j |

Where ΔΔP is the power variation amplitude; j∈[1,W], and j is the mark position in the corresponding power interval; W is the number of sampling points in the power interval; ΔP j is the current mark position The corresponding power difference; ΔP j+1 is the corresponding power difference at the next mark position.
The fixed-frequency air conditioner startup identification method according to claim 1, wherein the determining whether the fixed-frequency air conditioner in the monitoring environment is started according to the number of fluctuations corresponding to each of the power intervals includes the following steps :

Calculating fluctuation characteristics according to the number of fluctuations corresponding to each of the power intervals, and determining whether the fluctuation characteristics meet corresponding preset conditions;

Determining that the fixed-frequency air conditioner is started when the fluctuation characteristic meets the corresponding preset condition;

When the fluctuation feature does not meet the corresponding preset condition, it is determined that the fixed-frequency air conditioner is not started.
7. The fixed-frequency air conditioner startup identification method according to claim 6, wherein the calculation of the fluctuation feature is based on the number of fluctuations corresponding to each of the power intervals, and determining whether the fluctuation feature satisfies a corresponding preset condition, It includes the following steps:

Calculating the minimum number of fluctuations, the maximum number of fluctuations, the first average number of fluctuations before the pulse point, and the second average number of fluctuations after the pulse point according to the number of fluctuations corresponding to each of the power intervals;

Determine whether the minimum number of fluctuations is greater than a preset minimum threshold, whether the maximum number of fluctuations is greater than a preset maximum threshold, and whether the difference between the first average number of fluctuations and the second average number of fluctuations is greater than a preset Fluctuation threshold.
The fixed-frequency air conditioner startup identification method according to claim 7, wherein the determining that the fixed-frequency air conditioner is started when the fluctuation characteristic meets a corresponding preset condition includes the following steps:

If the minimum number of fluctuations is greater than the preset minimum threshold, the maximum number of fluctuations is greater than the preset maximum threshold, and the difference between the first average number of fluctuations and the second average number of fluctuations is greater than the preset fluctuation threshold, then the set The frequency air conditioner starts.
A fixed-frequency air conditioner startup identification device, which is characterized by comprising: a memory, a processor, and a fixed-frequency air conditioner startup identification program stored on the memory and driven by the processor, and the fixed-frequency air conditioner startup identification program is When the processor is executed, the steps of the fixed-frequency air conditioner startup identification method according to any one of claims 1 to 8 are realized.
A computer-readable storage medium, characterized in that a fixed-frequency air conditioner startup identification program is stored on the computer-readable storage medium, and the fixed-frequency air conditioner startup identification program is implemented by a processor as in claims 1 to 8. Steps of any one of the fixed-frequency air conditioner startup identification method.