A switch panel based on PLC communication technology, a control method and a medium

Abstract

The application relates to the field of switches, in particular to a switch panel based on PLC communication technology, a control method and a medium, which comprises the following steps: acquiring user setting data and time data; determining user habit data through the user setting data and the time data; determining a starting control signal through the user habit data and the time data and outputting; determining correction data through the user habit data, the user setting data, the time data and a preset correction threshold value; and correcting the user habit data through the correction data. The application has the effect of improving user comfort.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of switches, in particular to a switch panel based on PLC communication technology, a control method and a medium. BACKGROUND

[0002] In hotels or high-privacy high-end apartments, card insertion power supply or iris recognition power supply is often used to determine the legitimacy of user identity, and the switch panel and temperature control panel matched with card insertion power supply are basically set in each room to facilitate user control. Since it is a panel, more aspects can be adjusted and controlled, but because it is more detailed, it is more cumbersome for users to set up. SUMMARY

[0003] In order to improve the problem that user adjustment and control are too cumbersome, the present application provides a switch panel based on PLC communication technology, a control method and a medium.

[0004] The control method of the switch panel based on PLC communication technology provided by the present application adopts the following technical scheme:

[0005] A control method of a switch panel based on PLC communication technology, comprising:

[0006] Obtaining user setting data and time data;

[0007] Determining user habit data through the user setting data and the time data;

[0008] Determining and outputting a start control signal through the user habit data and the time data;

[0009] Determining correction data through the user habit data, the user setting data, the time data and a preset correction threshold;

[0010] Correcting the user habit data through the correction data.

[0011] By adopting the above technical scheme, user habits are automatically recorded, and settings are automatically adjusted according to users, which is convenient and fast and improves user comfort.

[0012] Optionally, comprising:

[0013] Obtaining weather data;

[0014] Determining weather reasonableness data through the user setting data, the weather data and a preset weather reasonableness threshold;

[0015] Determining weather emergency data through the user setting data and the weather reasonableness data;

[0016] determine a burst database through the meteorological burst data;

[0017] transfer the corresponding user setting data from the user habit data to the burst database through the meteorological burst data.

[0018] By adopting the technical solution, the rationality of the user's setting is automatically judged, so as to judge whether the user's behavior is a burst or the user's habit has changed, thereby excluding the interference of the burst behavior on data judgment and improving the accuracy.

[0019] Optionally, it comprises:

[0020] determine burst frequency data through the meteorological burst data, the user habit data and the burst database;

[0021] transfer the corresponding user setting data from the burst database to the user habit data through the burst frequency data, a preset test threshold and the meteorological burst data, and determine meteorological test data through the meteorological burst data and the user setting data this time;

[0022] determine meteorological test result data through the meteorological test data, the meteorological data and the user setting data;

[0023] determine a new meteorological rationality threshold through the meteorological test result data, a preset meteorological correction threshold and the original meteorological rationality threshold, and replace the original meteorological rationality threshold for calculation.

[0024] By adopting the technical solution, automatic adaptation is realized when the user habit changes, self-adaptive adjustment is realized, which is convenient and fast, and the user experience is further improved.

[0025] Optionally, it comprises:

[0026] determine dimension analysis data through the user habit data and a preset dimension disintegration threshold;

[0027] determine user preference data through the dimension analysis data and a preset dimension analysis threshold;

[0028] determine tendency preference data through the meteorological test result data, the meteorological test data, the dimension disintegration threshold and the dimension analysis threshold;

[0029] determine new user preference data through the tendency preference data, the original user preference data and a preset preference adjustment threshold, and replace the original user preference data;

[0030] Determine new user habit data by the new user preference data, the dimension analysis threshold and the dimension resolution threshold, and replace the original user habit data.

[0031] By analyzing the user behavior preference, the adjustment is predicted, the user experience is further improved, and the delay of self-adaptation in the user habit change process is reduced.

[0032] Optionally, comprising:

[0033] Determine burst time interval data by the time data and the weather test data;

[0034] Determine preference change data by the weather test data and a plurality of burst time interval data;

[0035] Determine estimated change time data by the preference change data;

[0036] Determine estimated change habit data by the preference change data and the user habit data;

[0037] Replace the original user habit data with the estimated change habit data at the estimated change time data.

[0038] By adopting the above technical solution, the efficiency of self-adaptation is improved.

[0039] Optionally, comprising:

[0040] Obtain standard habit data;

[0041] Determine correction interval data by the standard habit data and the user habit data;

[0042] Determine correction habit data by the correction interval data, a preset correction speed threshold and the user habit data, and output;

[0043] Obtain the user setting data, and determine callback data by the user setting data and the correction habit data;

[0044] Determine new correction habit data by the callback data, a preset callback threshold and the original correction habit data, replace the original correction habit data, and output;

[0045] Replace the user setting data with the new correction habit data.

[0046] By adopting the above technical solution, the user's bad habits are corrected and assisted, and the user experience is improved.

[0047] The application provides a switch panel based on PLC communication technology, which adopts the following technical scheme.

[0048] The application provides a switch panel based on PLC communication technology, which adopts the following technical scheme.

[0049] A pan-tilt module is arranged to acquire the meteorological data through networking and output the meteorological data.

[0050] An operation panel is arranged to be operated by a user to input the user setting data and output the user setting data.

[0051] A data processing module is arranged to receive the meteorological data and the user setting data, perform data processing and calculation, obtain the user habit data and output the user habit data.

[0052] A switch module is arranged to perform switch control after receiving the user habit data.

[0053] By adopting the above technical scheme, the related electrical appliances can be automatically and adaptively controlled according to the user habit, and the user experience is improved.

[0054] The application provides a computer readable storage medium, which adopts the following technical scheme.

[0055] The application provides a computer readable storage medium, which stores a computer program capable of being loaded and executed by a processor to perform a control method of a switch panel based on PLC communication technology.

[0056] By adopting the above technical scheme, the computer program is stored through the computer readable storage medium.

[0057] In summary, the application has at least one of the following beneficial technical effects.

[0058] 1. The user habit is automatically recorded, and the user is automatically set and adjusted, which is convenient and fast and improves the user comfort.

[0059] 2. The adjustment is automatically adapted when the user habit changes.

[0060] 3. The bad habit of the user is corrected and assisted. DETAILED DESCRIPTION

[0061] Figure 1 FIG. 1 is a flowchart of a control method of a switch panel based on PLC communication technology in the embodiment of the application.

[0062] Figure 2 FIG. 2 is a flowchart of steps S2-S24.

[0063] Figure 3 FIG. 3 is a flowchart of steps S3-S33.

[0064] Figure 4is a flowchart of steps S4-S44.

[0065] Figure 5 is a flowchart of steps S5-S54.

[0066] Figure 6 is a flowchart of steps S6-S65.

[0067] Figure 7 is a module diagram of a switch panel based on PLC communication technology in an embodiment of the present application.

[0068] Legend: 1, pan module; 2, operation panel; 3, data processing module; 4, switch module. DETAILED DESCRIPTION

[0069] The following will be described in detail in combination with the accompanying drawings. Figures 1-7 The present application will be further described in detail.

[0070] An embodiment of the present application discloses a control method of a switch panel based on PLC communication technology. Referring to Figure 1 , the control method of the switch panel based on PLC communication technology comprises the following steps:

[0071] S1, acquiring user setting data and time data;

[0072] S11, determining user habit data through the user setting data and the time data;

[0073] S12, determining and outputting a start control signal through the user habit data and the time data;

[0074] S13, determining correction data through the user habit data, the user setting data, the time data and a preset correction threshold;

[0075] S14, correcting the user habit data through the correction data.

[0076] Detailed: the user setting data is the data set by the user himself, for example, set the air conditioner temperature to 24°, set the wind to large, turn off the living room light, turn off the bedroom light, etc., the time data is the time when the user performs these operations, for example, at 18:00, the smart door lock detects that the user enters the door, indicating that the user has just returned home, and sets the air conditioner, at 22:00, the user turns off the living room light, indicating that the user moves from the living room to the bedroom to prepare for sleep, at 23:00, the user turns off the bedroom light, indicating that at this time point, the user is sleeping, this is the user habit data, which can also be the user habit data formed after the same operation at the same time for many times; and then according to the user habit data and the time data, for example, the time data reaches 18:00, the air conditioner is automatically turned on, and the air conditioner is set to 24°, large wind; if the time data continuously obtains the user setting data of setting the air conditioner temperature to 26° in a short time, the correction data will be obtained, so as to correct the user habit data to set the air conditioner temperature to 26°, and according to different correction thresholds, it can also be set to 25° first, and then set to 26° continuously, and then corrected to 26°.

[0077] Reference Figure 2 Further comprising the following steps:

[0078] S2, acquiring weather data;

[0079] S21, determining weather rationality data by the user setting data, the weather data and the preset weather rationality threshold;

[0080] S22, determining weather emergency data by the user setting data and the weather rationality data;

[0081] S23, determining emergency database by the weather emergency data;

[0082] S24, transferring the corresponding user setting data from the user habit data to the emergency database by the weather emergency data.

[0083] Detailed: the weather data is obtained by networking, which can be directly obtained from the official website of the local meteorological bureau, the weather rationality threshold indicates whether the user setting data is reasonable under the current weather data, for example, the current weather data is 38°, and the user setting data is air conditioner heating 30°, which is judged to be unreasonable, and the weather rationality data indicating the unreasonableness is obtained, and when the weather rationality data indicates the unreasonableness, the user setting data is recorded as the weather emergency data, and all weather emergency data is integrated to form an emergency database, and the user setting data corresponding to the weather emergency data is removed from the user habit data.

[0084] Reference Figure 3 Further comprising the following steps:

[0085] S3, determining the burst frequency data by the weather burst data, the user habit data and the burst database;

[0086] S31, transferring the corresponding user setting data from the burst database to the user habit data by the burst frequency data, the preset test threshold and the weather burst data, and determining the weather test data by the weather burst data and the user setting data;

[0087] S32, determining the weather test result data by the weather test data, the weather data and the user setting data;

[0088] S33, determining the new weather rationality threshold by the weather test result data, the preset weather correction threshold and the original weather rationality threshold, and replacing the original weather rationality threshold to participate in the calculation.

[0089] In detail: when a new weather burst data is determined through step S22, the weather burst data is removed from the user habit data, and then the weather burst data is compared with the weather burst data in the burst database. If the same weather burst data exists in the burst database, the burst frequency data corresponding to the weather burst data is increased by 1 and recorded in the burst database. If the test threshold is set to 3, when the burst frequency data exceeds 3, it indicates that the user setting data may not be a burst situation, but a reasonable situation, for example, a change in user habit. The weather burst data corresponding to the burst frequency data is copied from the burst database to the user habit data to participate in the calculation and output of the start control signal. Then, the weather burst data is taken as the weather test data when the same weather data is encountered next time. According to the weather test data as the user habit data, the corresponding start control signal is output. Then, the user setting data is read. If it is detected that the user does not adjust the setting at this time, the weather test result data indicating that the test is passed is output. If the user adjusts, it is detected that the user setting data has changed, and the weather test data indicating that the test fails is output. At this time, the weather burst data is removed from the user habit data again to wait for the next time when the burst frequency data exceeds the test threshold to repeat steps S3-S33. When the weather test result data indicates that the test is passed, the weather rationality threshold is adjusted by the weather correction threshold, so that the weather test data corresponding to the weather test result data is within the judgment range of the new weather rationality threshold, so that the subsequent user setting data is within the range of the user habit data, and the weather burst data is not judged as unreasonable.

[0090] Reference Figure 4 Further comprising the following steps:

[0091] S4, determining the dimension analysis data by the user habit data and the preset dimension disintegration threshold;

[0092] S41, determining the user preference data by the dimension analysis data and the preset dimension analysis threshold value;

[0093] S42, determining the tendency preference data by the weather test result data, the weather test data, the dimension disassembling threshold value and the dimension analysis threshold value;

[0094] S43, determining the new user preference data by the tendency preference data, the original user preference data and the preset preference adjustment threshold value, and replacing the original user preference data;

[0095] S44, determining the new user habit data by the new user preference data, the dimension analysis threshold value and the dimension disassembling threshold value, and replacing the original user habit data.

[0096] In detail, the user habit data is disassembled according to the dimension disassembling threshold value, for example, the temperature, the wind force, the light on and off, etc. can judge the user's habit data in the dimensions of the body temperature, the body wind force, the eye light brightness, etc. After the habit data is digitized, the dimension analysis threshold value is combined for analysis, for example, the standard is that the human feels comfortable in the light brightness of 3500 lumens, if the user habit data disassembling analysis is more preferred to the brightness of 3800 lumens, this is the user preference data. Then when the weather test result data indicates that the test is passed, the corresponding weather test data is also disassembled and analyzed in multiple dimensions to obtain the tendency preference data. Then the tendency preference data is compared with the user preference data to obtain the difference value. Then the user preference is adjusted by the difference value, and the adjustment ratio is the preference adjustment threshold value, for example, the adjustment can be one to one, or two to one, or other ratios. Finally, the adjusted user preference data is reversely restored to the user habit data by the dimension analysis threshold value and the dimension disassembling threshold value, and the adjusted user habit data replaces the original user habit data which is not adjusted.

[0097] Reference Figure 5 Further comprising the following steps:

[0098] S5, determining the burst time interval data by the time data and the weather test data;

[0099] S51, determining the preference change data by the weather test data and the plurality of burst time interval data;

[0100] S52, determining the estimated change time data by the preference change data;

[0101] S53, determining the estimated change habit data by the preference change data and the user habit data;

[0102] S54, replacing the original user habit data by the estimated change habit data in the estimated change time data.

[0103] In detail, the time interval between the plurality of weather test data is calculated by the time data corresponding to the weather test data, that is, the trigger interval of the same weather burst data, which is the burst time interval data. If the plurality of burst time interval data is 60h, 48h, and 36h, the interval of each trigger weather test data is reduced by 12h, which is the preference change data. Then, the same weather burst data is obtained after 24h, which is the estimated change time data. The weather test data includes user habit data and weather burst data. The preference change data compares the user habit data and the weather burst data, that is, the estimated change habit data between the user habit data and the weather burst data. In combination with the estimated change time data, the user habit data is changed to the weather burst data for testing after 24h, that is, the weather burst data replaces the original user habit data after 24h.

[0104] Referring to Figure 6 Further comprising the following steps:

[0105] S6, obtaining standard habit data;

[0106] S61, determining the correction interval data by the standard habit data and the user habit data;

[0107] S62, determining the corrected habit data by the correction interval data, the preset correction speed threshold, and the user habit data and outputting;

[0108] S63, obtaining the user setting data, determining the callback data by the user setting data and the corrected habit data;

[0109] S64, determining the new corrected habit data by the callback data, the preset callback threshold, and the original corrected habit data, replacing the original corrected habit data, and outputting;

[0110] S65, replacing the user setting data by the new corrected habit data.

[0111] In detail: the standard habit data can be preset data representing good habits, such as getting up at 7 am, going to bed at 10 pm, etc., or can be data set by the user's family, such as the user being weak, the family can set the user to go to bed at 9 pm and get up at 8 am, etc., and then according to these habits, it can be deduced that the bedroom light, living room light, curtain, etc. are turned off at 9 pm, and the user habit data is compared with the standard habit data set by the user, and the difference between the user habit and the standard is obtained, which is the correction interval data, indicating that the habit needs to be corrected by this much data, and the correction speed threshold is the speed of correcting the habit. If the user's family sets it for 2 months, i.e. 60 days, then the correction speed that needs to be corrected every day is the correction interval data / 60, and if it is more in line with the correction habit, then 60 is substituted into the exponential function, i.e. the initial correction speed is slow, and then it becomes faster and faster, i.e. the initial correction speed can be the correction interval data / 1000, and then it becomes faster and faster, and in the later stage it can reach the speed of correction interval data / 10, combined with the user habit data, i.e. the user habit data plus or minus the correction speed*time, the corrected habit data is obtained, and when the user controls the household appliance, the user setting data is obtained. At this time, the user setting data is compared with the corrected habit data to calculate the difference, which is the callback data, and then the callback data is compared with the corrected habit data to calculate the new corrected habit data, and the callback ratio is the callback threshold, and then the corrected habit data after callback is used to replace the user setting data.

[0112] The embodiment of the application discloses a switch panel based on PLC communication technology. Referring to Figure 7 , the switch panel based on PLC communication technology includes a holder module 1, an operation panel 2, a data processing module 3, and a switch module 4. The holder module 1 is a module that can be connected to the Internet and obtain weather data, such as a network card cooperating with a crawler program. The operation panel 2 is a panel device for user operation. The user can input user setting data from the operation panel 2 to control various electric appliances. The data processing module 3 includes a database and a processor. The database is used to store various threshold data, such as correction threshold, weather rationality threshold, dimension disassembly threshold, dimension analysis threshold, correction speed threshold, and callback threshold. The processor is used to receive user setting data, weather data, and standard habit data. After processing and calculating the data by calling the corresponding threshold data from the database, the user habit data is outputted.

[0113] The processor can include a central processing unit (CPU) or a micro processing unit (MPU) or a host system built with CPU or MPU as the core, including hardware or software. After the meter has the processor, people can freely control the meter by programming, so that it runs according to people's wishes. The processor can control local transmitters, remote transmitters, remote communication, etc. through internal protocols. Internal protocols generally refer to all protocols for realizing mutual communication or linkage within the same meter or within the same system, including: part or all of human-computer interaction protocols, software / hardware (interface) protocols, chip bus (C-Bus) protocols, internal bus (I-Bus) protocols, etc. With the development of integrated circuit technology, some of the external bus (E-Bus) protocols also belong to internal protocols after the external bus (E-Bus) is integrated into the chip.

[0114] The switch module 4 is used to control the on-off and power size of various electrical appliances, such as the on-off of the living room lamp and the power of the air conditioner. After receiving the user habit data output by the processor or the user setting data input by the user, the adjustment is performed.

[0115] The embodiment of the application discloses a computer readable storage medium. Referring to Figure 1 , the computer readable storage medium stores a computer program capable of being loaded and executed by the processor to execute the control method of the switch panel based on the PLC communication technology.

[0116] The computer readable storage medium includes, for example, a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.

[0117] The above are preferred embodiments of the application, and are not intended to limit the protection scope of the application. Therefore, any equivalent changes made according to the structure, shape and principle of the application should be covered within the protection scope of the application.

Claims

1. A control method of a switch panel based on PLC communication technology, characterized by, The method comprises: acquiring user setting data and time data; determining user habit data by the user setting data and the time data; determining an activation control signal by the user habit data and the time data and outputting; determining correction data by the user habit data, the user setting data, the time data and a preset correction threshold value; correcting the user habit data by the correction data; wherein, further comprising: acquiring weather data; determining weather rationality data by the user setting data, the weather data and a preset weather rationality threshold value; determining weather emergency data by the user setting data and the weather rationality data; determining an emergency database by the weather emergency data; transferring the corresponding user setting data from the user habit data to the emergency database by the weather emergency data; determining emergency frequency data by the weather emergency data, the user habit data and the emergency database; transferring the corresponding user setting data from the emergency database to the user habit data by the emergency frequency data, a preset test threshold value and the weather emergency data, and determining weather test data by the weather emergency data and the user setting data; determining weather test result data by the weather test data, the weather data and the user setting data; determining a new weather rationality threshold value by the weather test result data, a preset weather correction threshold value and the original weather rationality threshold value, and replacing the original weather rationality threshold value for calculation; determining dimension analysis data by the user habit data and a preset dimension disintegration threshold value; determining user preference data by the dimension analysis data and a preset dimension analysis threshold value; determining tendency preference data by the weather test result data, the weather test data, the dimension disintegration threshold value and the dimension analysis threshold value; determining new user preference data by the tendency preference data, the original user preference data and a preset preference adjustment threshold value, and replacing the original user preference data; determining new user habit data by the new user preference data, the dimension analysis threshold value and the dimension disintegration threshold value, and replacing the original user habit data; determining emergency time interval data by the time data and the weather test data; determining preference change data by the weather test data and a plurality of the emergency time interval data; determining estimated change time data by the preference change data; determining estimated change habit data by the preference change data and the user habit data; replacing the original user habit data by the estimated change habit data at the estimated change time data.

2. The control method of the switch panel based on the PLC communication technology according to claim 1, characterized in that, The method comprises: acquiring standard habit data; determining a correction interval data by the standard habit data and the user habit data; determining a correction habit data by the correction interval data, a preset correction speed threshold value and the user habit data and outputting; acquiring the user setting data, and determining a callback data by the user setting data and the correction habit data; Determine new orthotic habit data through the callback data, a preset callback threshold, and the original orthotic habit data, and output after replacing the original orthotic habit data; Replace the user setting data with the new orthotic habit data.

3. A switch panel based on PLC communication technology, using the control method of claim 1, characterized in that, Comprise: A gimbal module (1) for network acquisition of the meteorological data and output; An operation panel (2) for user operation input, acquisition of the user setting data, and output; A data processing module (3) for receiving the meteorological data and the user setting data, data processing and calculation, acquisition of the user habit data, and output; A switch module (4) for receiving the user habit data and switch control.

4. A computer-readable storage medium, characterized in that, A computer program capable of being loaded and executed by a processor to perform the control method of the switch panel based on the PLC communication technology according to any one of claims 1 to 2.

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