CN116842494B - An equipment control method and system based on big data - Google Patents

Abstract

The present invention is applicable to the computer field and provides a device control method and system based on big data. The method includes: enabling a default working mode of a functional device based on big data, where the default working mode includes a first working mode; identifying a certain Verification information of the user and obtain a user's first intention information for the functional device according to the recognition result. The first intention information is used to represent the modification of the first working parameter of the first working mode; if a user is one of several designated users First, the first control instruction is generated according to the first intention information, and the functional device is regulated according to the first control instruction, so that the functional device enters the second working mode. The technical solution of the embodiment of the present application can be used in multiple It can effectively control several working modes of functional equipment under user conditions, and the working modes will not interfere with each other. There is no need for dedicated personnel to be on duty, and the flexibility of control is high, which improves the user experience of multiple users.

Description

An equipment control method and system based on big data

Technical field

The invention belongs to the field of computers, and in particular relates to a device control method and system based on big data.

Background technique

Equipment control method refers to the method of controlling equipment through various means. In modern production and life, equipment control method is a very important part, which is directly related to production efficiency and user experience.

When the existing technology involves multiple devices and multi-user scenarios, the devices are generally controlled and managed by dedicated personnel to achieve the purpose of adjusting parameters in the following modes, such as adjusting the working time of a certain module of the device; Volume adjustment in playback mode; image quality adjustment in video playback mode, etc.

The above existing technologies generally require dedicated personnel to be on duty when adjusting equipment in corresponding scenarios, and the flexibility of adjustment is poor.

Contents of the invention

The purpose of the embodiments of the present invention is to provide a device control method and system based on big data, aiming to solve the problems raised in the above background technology.

In the first aspect, embodiments of this application propose a device control method based on big data. The method includes:

Turn on the default working mode of the functional device based on big data, and the default working mode includes a first working mode;

Identify the verification information of a certain user and obtain the first intention information of the certain user for the functional device according to the identification result, where the first intention information is used to represent modification of the first working parameter of the first working mode;

If a user is one of several designated users, generate a first control instruction according to the first intention information, and regulate the functional device according to the first control instruction so that the functional device enters the second working mode;

If a user is not one of the designated users, determine whether the user is associated with at least one of the designated users;

If associated, a second control instruction is generated according to the first intention information, and the functional device is regulated according to the second control instruction, so that the functional device enters a third working mode, and the third working mode is the second working mode. A subpattern of a pattern.

In a possible implementation of the above first aspect, the default working mode of the big data enabled functional device includes:

Statistics of historical working data of multiple functional devices under normal working conditions, where the historical working data includes historical working parameters;

Match the historical working data with the current working environment of the functional equipment to obtain the first parameter range;

Statistics group users’ expected parameter range for functional equipment;

The intersection part of the first parameter range and the expected parameter range is calculated, and the intersection part is used as the selection range of the first operating parameter of the first operating mode.

In another possible implementation of the above first aspect, identifying the verification information of a certain user and obtaining the first intention information of the certain user for the functional device according to the identification result includes:

Detect the first distance between a user and a functional device;

When the first distance reaches the set distance, obtain the display verification information of a certain user;

When the verification of the displayed verification information is passed, instruct the functional device to display the identity verification interface;

When the identity information obtained through the identity verification interface matches the set identity information, the first intention information input interface is displayed through the functional device and the first intention information is obtained.

In yet another possible implementation of the above first aspect, determining whether the certain user is associated with at least one of a number of designated users includes:

Determine whether a user is an authorized user of at least one designated user among several designated users;

If it is determined that a user is an authorized user of at least one of several designated users, then it is determined that a certain user is associated with at least one of several designated users;

If it is determined that a user is not an authorized user of the specified user, it is determined that the user is not associated with the specified user.

In another possible implementation based on the above, determining whether a user is an authorized user of at least one designated user among several designated users includes:

Obtain the authorization identification input by a certain user and capture the first identification information of a certain user, and according to the authorization identification, search for a matching first authorization identification in the authorization identification list of the specified user;

If found, obtain the user ID of the specified user based on the authorization ID list;

According to the user identification, the first identification information is sent to the first terminal of the designated user to obtain the authorization information fed back by the first terminal. When the authorization information is authorized authorization, it is determined that a certain user is at least one designated user among several designated users. an authorized user, otherwise, it is determined that a user is not an authorized user of the specified user.

In yet another possible implementation based on the foregoing, determining whether a user is an authorized user of at least one designated user among several designated users includes:

Sending a wireless connection request to request connection to a second terminal, where the second terminal is an authorized terminal of a specified user, and the wireless connection request is associated with a prescribed feedback time period;

When feedback information from the second terminal is received within the prescribed feedback time period, it is determined that a certain user is an authorized user of at least one designated user among a number of designated users, and the feedback information includes an authentication pass identifier of the second identification information of a certain user. ;

When the feedback information from the second terminal is not received within the prescribed feedback time period, it is determined that a certain user is not an authorized user of the specified user.

In yet another possible implementation based on the foregoing, generating the second control instruction according to the first intention information includes:

Send the first intention information to the second terminal, and obtain the information to be verified returned by the second terminal. The information to be verified includes the second intention information and the positioning information of the second terminal. The second intention information is used to characterize the pair. Supplement and correction of the first intention information;

When it is confirmed that the positioning information conforms to the preset positioning range according to the information to be verified, the second intention information is converted into a second control instruction.

In the second aspect, combined with the first aspect, embodiments of the present application provide a default working mode, which is associated with a working mode switching method, and the method includes:

Obtain the main user's preference parameters for the functional device, and use the preference parameters as the second working parameters of the fourth working mode;

Determine whether the deviation between the preference parameter and the intersection part is greater than a set threshold;

If so, obtain the reduction and change information of the number of group users in the functional area;

Determine the amount of change from the first working parameter to the preference parameter that increases or decreases according to the number of people reduction change information;

The first working parameter is changed according to the change amount, so that as the group of users shrinks, the working parameter of the functional device changes from the first working parameter to the preference parameter.

As an extension of the second aspect, the method also includes:

When the deviation between the preference parameter and the intersection part is not greater than the set threshold, detect changes in the real-time number of people in the functional area;

When the real-time number of people in the functional area reaches the preset number of people, the first working mode is switched to the fourth working mode.

In the third aspect, embodiments of this application propose an equipment control system based on big data. The system includes:

An enabling module for enabling a default working mode of the functional device based on big data, where the default working mode includes a first working mode;

Intention information acquisition module, used to identify a user's verification information and obtain a user's first intention information for the functional device according to the recognition result, the first intention information is used to represent the modification of the first working parameter of the first working mode ;

A judgment control module, configured to: if a user is one of several designated users, generate a first control instruction according to the first intention information, and control the functional device according to the first control instruction, so that the functional device enters the first Second working mode, if a certain user is not one of several designated users, determine whether the certain user is associated with at least one of the several designated users;

The association control module is configured to, if associated, generate a second control instruction according to the first intention information, and regulate the functional device according to the second control instruction so that the functional device enters the third working mode, and the third The third working mode is a sub-mode of the second working mode.

A device control method and system based on big data provided by embodiments of the present invention identifies a user's verification information and obtains a user's first intention information for a functional device based on the recognition result; if a user is one of several designated users , then a first control instruction is generated according to the first intention information, and the functional device is regulated according to the first control instruction, so that the functional device enters the second working mode; if a user is not one of several designated users, it is determined that the Describe whether a certain user is associated with at least one of several designated users; if associated, generate a second control instruction according to the first intention information, and regulate the functional device according to the second control instruction so that the functional device enters the third work mode, the third working mode is a sub-mode of the second working mode; even if there is a multi-function device, it can avoid the user's arbitrary control of it, and through the setting and identification of designated users and non-designated users, it can operate under multi-user conditions. It can effectively control several working modes of functional equipment, and the working modes will not interfere with each other. There is no need for dedicated personnel to be on duty. The flexibility of control is high, which improves the user experience of multiple users.

Description of the drawings

Figure 1 is the main flow chart of a device control method based on big data.

Figure 2 is a flowchart of the default working mode of a functional device enabled based on big data in a device control method based on big data.

Figure 3 is a flow chart for identifying a user's verification information and obtaining a user's first intention information for a functional device based on the recognition result in a device control method based on big data.

Figure 4 is a flow chart for determining whether a certain user is associated with at least one of several designated users in a device control method based on big data.

Figure 5 is a flow chart of generating a second control instruction according to the first intention information in a device control method based on big data.

Figure 6 is a flow chart for switching working modes in a device control method based on big data.

Figure 7 is the main structure diagram of an equipment control system based on big data.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.

The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

The invention provides a device control method and system based on big data, which solves the technical problems in the background technology.

As shown in Figure 1, a main flow chart of a big data-based device control method is provided according to an embodiment of the present invention. The big data-based device control method includes:

Step S10: Turn on the default working mode of the functional device based on big data, and the default working mode includes the first working mode;

The default working mode includes the first working mode under group user conditions to adapt to the actual needs of group users. The working mode of the functional device realizes the adjustment of the following parameters: for example, the volume in the sound amplification mode of (video playback device) (The unit is decibel, dB) adjustment, for example, the adjustment of the working time of a module of (any) device, another example, the adjustment of the image quality clarity (unit is resolution, P) in the video playback mode of (video playback device) (Mainly based on broadband considerations) etc.;

Step S11: Identify the verification information of a certain user and obtain the first intention information of the certain user for the functional device according to the identification result, where the first intention information is used to represent modification of the first working parameter of the first working mode;

A user may be a general user, a designated user, or at least one of several associated designated users. For general users, it is necessary to limit their adjustment of functional devices. Designated users have the authority to adjust. Designated users include the main user and those designated by the main user. users; associate at least one of several designated users including a user authorized by the designated user; make a judgment on the user's identity information when obtaining the first intention information, and when the judgment result shows that the user is a designated user or associate with at least one of several designated users, Only then will subsequent steps be performed; that is, determining whether the user is one of several designated users;

Step S12: If a user is one of several designated users, generate a first control instruction according to the first intention information, and regulate the functional device according to the first control instruction so that the functional device enters the second working mode;

A user is one of several designated users, indicating that the designated user is the main user or a user designated by the main user. Of course, when the main user performs control, he can also directly control it through remote control; when a user is one of several designated users, For a while, you can continue to supplement the control information, such as specific parameters or parameter ranges in the second working mode, etc., to achieve the adjustment of the ideal image quality and clarity in the video playback mode; another example is to realize the adjustment of the working time of a certain module of the device;

Step S13: If a certain user is not one of the designated users, determine whether the certain user is associated with at least one of the designated users;

When a user is not one of several designated users, considering that there may be multiple functional devices in the functional area, and on the basis of limiting the number of designated users, it may be inconvenient for the designated user to directly participate in the management of functional devices. Therefore, Determining whether the certain user is associated with at least one of the several designated users; whether the certain user is associated with at least one of the several designated users includes: determining that the certain user is an authorized user of at least one of the several designated users;

Step S14: If associated, generate a second control instruction according to the first intention information, and regulate the functional device according to the second control instruction, so that the functional device enters a third working mode, and the third working mode is Submode of the second operating mode.

When associated, a user can participate in the management of the functional device even if he is not a designated user. Specifically, the second control instruction can be a supplement and correction to the first intention information, which is similar to the functional device entering the second working mode. , the functional device enters the third working mode according to the control instruction. Since the third working mode is a sub-mode of the second working mode, there is no major conflict with the control mode of the designated user, which includes allowing the third working mode to be controlled within a small range. The second working mode is used to modify parameters or select specific parameters, such as fine-tuning the ideal image quality and clarity in video playback mode; another example is the specific selection of the working time of a certain module of the device, etc.

When this embodiment is applied, the default working mode of the functional device is turned on based on big data. The default working mode includes the first working mode; the verification information of a certain user is identified and the first intention of the functional device of the certain user is obtained based on the recognition result. Information, the first intention information is used to represent the modification of the first working parameter of the first working mode; if a user is one of several designated users, the first control instruction is generated according to the first intention information, and the first control instruction is generated according to the first intention information. The first control instruction regulates the functional device so that the functional device enters the second working mode; if a certain user is not one of several designated users, determine whether the certain user is associated with at least one of the several designated users; if associated, then according to The first intention information generates a second control instruction, and controls the functional device according to the second control instruction so that the functional device enters a third working mode, and the third working mode is a sub-mode of the second working mode; Even if there is a multi-functional device, users can avoid arbitrarily controlling it, and through the setting and identification of designated users and non-designated users, several working modes of functional devices can be effectively controlled under multi-user conditions, and the working modes can be separated. There is no mutual interference, no special personnel is required, and the flexibility of control is high, which improves the user experience of multiple users.

As shown in Figure 2, as a preferred embodiment of the present invention, the default working mode of the big data-based functional device includes:

Step S101: Statistics of historical working data of multiple functional devices under normal working conditions, where the historical working data includes historical working parameters;

Historical working data under normal working conditions, that is, historical working data without fault parameters; historical working parameters generally correspond to at least one of temperature, humidity and season;

Step S102: Match the historical working data with the current working environment of the functional device to obtain the first parameter range;

When at least one of the conditions of temperature, humidity and season in the current environment is obtained and matches the historical working data, the corresponding historical working parameters are selected as the first parameter range to adjust the working hours of a certain module of the functional equipment and the sound output. Adjustment of parameters such as volume, etc.;

Step S103: Statistics of group users’ expected parameter range for functional equipment;

Group users refer to the situation where there may be multiple users in the functional area. Multiple users may have certain differences in the expected parameters of functional equipment, so the expected parameter range is obtained; generally, the first parameter range is given for group users to choose;

Step S104: Calculate the intersection part of the first parameter range and the expected parameter range, and use the intersection part as the selection range of the first operating parameter of the first operating mode.

The intersection part is in line with the relatively normal working parameters, which are the working parameters for the normal and stable operation of the functional equipment, and are in line with the expectations of the group users.

It can be understood that by calculating the intersection of the first parameter range and the desired parameter range, and using the calculation result as the selection range in the first working mode, both group users and stable and normal operation can be taken into consideration.

As shown in Figure 3, as a preferred embodiment of the present invention, identifying the verification information of a certain user and obtaining the first intention information of the certain user for the functional device according to the identification result includes:

Step S111: Detect the first distance between a user and the functional device;

The distance between a user and the functional device can be identified through the induction sensor on the functional device; or the image information in front of the functional device can be identified to determine the landmark position of a user in front of the functional device, thereby determining whether a user has reached set distance;

Step S112: When the first distance reaches the set distance, obtain the display verification information of a certain user;

When the first distance reaches the set distance (set threshold), the display verification information displayed or input by a user is obtained through the functional device. The display verification information indicates that the identity verification interface is awakened after the verification is passed; the display verification information includes gestures. At least one kind of information, body posture information, etc., such as making a five-finger spread gesture, standing at attention posture, etc.; the above can avoid displaying the identity verification interface every time and achieve the purpose of preliminary screening;

Step S113: When the verification of the displayed verification information passes, instruct the functional device to display the identity verification interface;

When the displayed verification information is consistent with the preset verification information, such as gesture information, body posture information, etc., and the set gestures and set postures meet the corresponding first similarity threshold, it is determined that the display verification information has passed the verification. At this time, through the function The device (wakes up) displays the authentication interface;

Step S114: When the identity information obtained through the identity verification interface matches the set identity information, display the first intention information input interface through the functional device and obtain the first intention information.

After the identity verification interface is displayed, you are prompted to verify the identity information. The identity information includes the account password information or the electronic badge information of the specified user. Passing the verification means that the identity information matches the set identity information (matches the account password or the specified user's electronic ID card information). If the electronic business card is swiped), then a user is a designated user or a user authorized by him; at this time, the first intention information is obtained. For example: the selection or input content is: modify the first working parameter of the first working mode.

The above steps ensure that the first intention information is input from a reasonable source. For unreasonable sources, the user cannot input the first intention information at all. In this embodiment, only a relatively simple identity judgment is actually required. For the detailed information of a certain user, a detailed authorization judgment will be performed later.

As shown in Figure 4, combined with the above embodiments, optionally, determining whether a certain user is associated with at least one of several designated users includes:

Step S121: Determine whether a user is an authorized user of at least one designated user among several designated users;

That is, it is enough to determine whether a user is authorized by at least one specified user;

Step S122: If it is determined that a certain user is an authorized user of at least one of the several specified users, then it is determined that the certain user is associated with at least one of the several specified users;

Preferably, the step of determining whether a user is an authorized user of at least one designated user among several designated users includes:

Step: Obtain the authorization identification input by a certain user and capture the first identification information of a certain user, and according to the authorization identification, search for the matching first authorization identification in the authorization identification list of the designated user;

The acquisition of authorization identification is generally completed on the functional device. The authorization identification includes the verification password or verification characters set by the specified user; the verification password is generally a text password, and the verification characters are composed of numbers and/or symbols; for example, "Today's functional equipment is running "Conditions are good", "S123", etc., the verification password has a certain timeliness; that is, the authorization identification list is updated, the designated user notifies the first authorization identification to a user respectively, and stores the first authorization identification in (functional device ) in the authorization identification list; (functional device) can verify the input authorization identification to determine whether the input authorization identification is consistent with the first authorization identification; the authorization identifications in the authorization identification list are all different from each other; the first identification The information includes facial information, which is used for designated users to make judgments;

Steps: If found, obtain the user ID of the specified user based on the authorization ID list; there is a corresponding relationship between the first authorization ID and the user ID in the authorization ID list; if not found, the captured first identification information needs to be cleared; When the entered authorization ID is consistent with the first authorization ID, it is found;

Step: According to the user identification, send the first identification information to the first terminal of the designated user to obtain the authorization information fed back by the first terminal. When the authorization information is authorized authorization, determine that a certain user is at least one of several designated users. The authorized user of the specified user, otherwise, it is determined that a user is not an authorized user of the specified user;

According to the user identification, the first identification information is sent to the first terminal bound to the user identification. There is a binding relationship between the device identification of the first user terminal itself and the user identification; after the first terminal receives the first identification information , issuing a confirmation prompt, the designated user can perform a confirmation operation on the first identification information to generate authorization information that allows authorization or rejects authorization information that does not allow authorization. The former is to determine that a user is an authorized user of at least one designated user among several designated users. conditions of.

The above embodiments can ensure timely authorized association through designated users, and because the user identification is set, the selectivity of confirmation and sending of the first identification information is ensured, thereby ensuring the effective identification source of the first identification information, and also improving the efficiency of the second identification information. The probability that the identification information is authorized.

This application provides another extended embodiment;

Determining whether a user is an authorized user of at least one designated user among several designated users includes:

Step: Send a wireless connection request to the outside to request connection to a second terminal. The second terminal is an authorized terminal of a specified user, and the wireless connection request is associated with a specified feedback time;

The server or functional device sends a wireless connection request to the outside. If the second terminal is close, then based on the preset pairing conditions (such as the pairing of the device identification of the functional device and the identification of the second terminal), the wireless connection between the two can be completed;

For example, Zigbee connection, Zigbee is actually a short-range, low-power wireless communication technology. Its maximum transmission rate is 250Kbps, and it generally works in the 2.4G frequency band, which can meet the requirements of large capacity and high security;

Another example is Bluetooth connection, which does not require network support and has the advantages of low power consumption and fast connection.

Step: When feedback information from the second terminal is received within the prescribed feedback time period, determine that a certain user is an authorized user of at least one designated user among several designated users, and the feedback information includes authentication of the second identification information of the certain user. by identification;

After completing the wireless connection, based on the preset program in the second terminal, the second terminal completes the authorization verification of the user where it is located. The authorization verification specifically includes locating the first location of the second terminal and identifying the number of people in the area where the first location is located. When it is only 1, an authorization verification prompt is issued to obtain the second identification information input by a user. The second identification information includes at least one of face information, fingerprint information, pulse information, etc., and the second terminal combines the second identification information with the built-in Compare the preset verification information. When the two meet the set conditions, it is determined that a user is an authorized user of the specified user and an authentication pass identification is generated. The set conditions include meeting the second similarity threshold or the difference threshold; when the verification is completed , the second terminal feeds back verified feedback information to the server or functional device, or feedback information that does not capture the second identification information; the feedback information needs to be within the prescribed feedback time, that is, starting from the time when the wireless connection request is sent out;

Step: When no feedback information from the second terminal is received within the prescribed feedback time period, determine that a user is not an authorized user of the specified user.

This step corresponds to the previous step. When no feedback information from the second terminal is received within the specified feedback time, it indicates that the authorization verification fails; under another condition, the authorization verification cannot be completed, indicating that a user is not authorized by the specified user. User, it is determined that a user is not associated with the specified user.

Step S123: If it is determined that a certain user is not an authorized user of the specified user, then it is determined that the certain user is not associated with the specified user.

It can be seen from the above that the user identification and the method of verification based on the first terminal are set up, thereby ensuring the effective identification source of the first identification information; the method of verification based on the second terminal ensures that a user can effectively perform on-site verification in the functional area. Authorization verification is used to ensure that the authorization of a certain user by a designated user is converted into the effective execution of control instructions. It can be used under conditions that are inconvenient for the designated user. Both methods have their own advantages and can be implemented selectively. The implementation condition can be determined as follows: determine whether the specified user has set the do not disturb condition in advance on the first terminal; if so, select the second type for implementation; otherwise, select the first type for implementation.

Under the first implementation condition, generating the second control instruction based on the first intention information includes: when the authorization information is permission authorization, directly generating the second control instruction based on the first intention information.

Under the second implementation condition, as shown in Figure 5, as a preferred embodiment of the present invention, generating a second control instruction based on the first intention information includes:

Step S151: Send the first intention information to the second terminal, and obtain the information to be verified returned by the second terminal. The information to be verified includes the second intention information and the positioning information of the second terminal. The second intention information is To represent the supplement and correction of the first intention information;

Generally, the first intention information is sent to the second terminal through the functional device. It should be noted that the second terminal is also authorized by the main user. A user can bring the second terminal to complete the determination of the second intention information and send it to the second terminal. Its auxiliary transformation into the second control command;

When the second terminal receives the first intention information, since the identity information of the holder (a certain user) has been verified, it directly obtains the user's modification or confirmation operation on the first intention information to generate the second intention information. And obtain its own positioning information, then package the second intention information and the positioning information and send it to the functional device;

Step S152: When it is confirmed that the positioning information conforms to the preset positioning range according to the information to be verified, convert the second intention information into a second control instruction. Referring to the conversion process of the first intention information, there is no difficulty in converting the second intention information into the second control instruction.

The positioning information needs to meet the preset positioning range. The preset positioning range is a range not far from the functional device and within the functional area. For example, it is within a designated area that is a specified distance away from the functional device. This indicates that a user has determined to enter. The position where the working parameters of the functional equipment can be controlled, and further confirmation or modification of the first intention information can be completed.

Due to the authorization and verification steps of the second terminal, not only the interaction related to the second intention information can be completed nearby, but also the convenience for the designated user to change the working parameters of the functional device under non-primary user conditions can be determined, and the intention-based interaction can be determined. The effectiveness of information generation control instructions avoids arbitrary changes in the working parameters of functional equipment under multi-user conditions.

As shown in Figure 6, as another expanded invention point of the present application, an embodiment of the present application provides a method for switching working modes. The default working mode also includes a fourth working mode, which is combined with the fourth working mode. In other words, the method includes:

Step S20: Obtain the main user's preference parameters for the functional device, and use the preference parameters as the second working parameters of the fourth working mode;

The preference parameter of the primary user is determined in combination with the primary user's preference for functional equipment. The preference parameter can be a parameter range or at least one specific parameter; for example, the preference parameter is the volume range (unit: decibel) in the sound external mode. , dB), for another example, the preference parameter is the image quality clarity in video playback mode (unit is resolution, P); another example is the adjustment of the working time of a certain module of the device (unit is seconds, s), etc.;

Step S21: Determine whether the deviation between the preference parameter and the intersection part is greater than a set threshold;

Considering that the sudden drop or rise of relevant parameters may affect the user's experience, as well as the impact of factors such as the parameter changing ability of the functional device (such as power boosting capability) on the life of the functional device, the difference between the deviation and the set threshold is considered. size;

Step S22: If yes, obtain the reduction and change information of the number of group users in the functional area;

Specifically, the change in the number of people in the group can be determined by identifying the change in the number of group users in the functional area in real time, so as to obtain the change in number of people in the group;

Step S23: Determine the amount of change from the first working parameter to the preference parameter to increase or decrease based on the number of people reduction change information;

When the number of people in the first period decreases to a certain level, the amount of change in the preference parameter to increase or decrease can be determined from the level and parameter determination table;

For example, the number of people is detected every 5 minutes. When the number of people decreases by 5 people, the preference parameter decreases by 0.5 units; when the number of people decreases by 10 people, the preference parameter decreases by 0.8 units; for the change rate of the number of people and preference parameters, For example, the basic number of main users is set to A, the number of total users is B, and the deviation is greater than the set threshold and reaches a, so the average change rate is determined: , in practice it is not necessarily necessary to change the preference parameter strictly according to the average change rate; as long as the preference parameter changes around the average change rate, the working parameter can be changed from the first working parameter to the preference parameter; combined with the above example, where A simple algorithm is: the change amount of equal steps corresponds to the change amount of the first working parameter of equal steps;

Step S24: Change the first working parameter according to the change amount, so that as the group of users shrinks, the working parameters of the functional device change from the first working parameter to the preference parameter;

The value of the first working parameter after the change is the sum of the parameter value before the change and the change amount (the change amount is positive or negative). According to this method, the first working parameter is continuously changed, thereby making the functional equipment work The parameters change from the first working parameter to the preferred parameter, which can eventually make the first working parameter tend to the preferred parameter.

Step S25: When the deviation between the preference parameter and the intersection part is not greater than the set threshold, detect changes in the real-time number of people in the functional area;

Of course, taking into account changes in the actual situation, the deviation of the intersection part may not be greater than the set threshold; in this case, the real-time number of people in the functional area is directly considered;

Similar to step S22, the number of people recognition can be achieved through real-time target recognition in the surveillance image within the functional area, for example, based on the two-stage detection algorithm in deep learning. This is not difficult;

Step S26: When the real-time number of people in the functional area reaches the preset number of people, switch the first working mode to the fourth working mode.

This step is actually a one-step adjustment. For example, when the real-time number of people reaches the base number of the main user, the first working parameter is directly adjusted to the preferred parameter. The sudden drop or rise of the parameters in this kind of adjustment is small and is normal. Adjustment range.

It is understandable that the above considerations are for the reduction of the number of people. The optimization and adjustment method of switching the default working mode to the fourth working mode can improve the user experience and protect the service life of the functional equipment. In practice, the corresponding One situation is the parameter change when the number of people increases. In this case, when the number of people gradually increases, the reverse steps of the above steps can be performed, which is not difficult.

As shown in Figure 7, as another preferred embodiment of the present invention, on the other hand, there is an equipment control system based on big data. The system includes:

The opening module 100 is used to enable the default working mode of the functional device based on big data, and the default working mode includes the first working mode;

The intention information acquisition module 200 is used to identify the verification information of a certain user and obtain the first intention information of a certain user for the functional device according to the identification result. The first intention information is used to represent the first working parameter of the first working mode. Revise;

The judgment control module 300 is used to: if a user is one of several designated users, generate a first control instruction according to the first intention information, and control the functional device according to the first control instruction, so that the functional device enters In the second working mode, if a certain user is not one of several designated users, determine whether the certain user is associated with at least one of the several designated users;

The association control module 400 is configured to, if associated, generate a second control instruction according to the first intention information, and regulate the functional device according to the second control instruction so that the functional device enters the third working mode, the The third working mode is a sub-mode of the second working mode.

It should be noted that, with reference to the specific implementation description of a big data-based device control method in the foregoing embodiments, this system completely corresponds to the implementation method of the method, which will not be described here.

The above embodiments of the present invention provide a big data-based device control method, and based on the big data-based device control method, a big data-based device control system is provided, by enabling the default operation of functional devices based on big data. mode, the default working mode includes a first working mode; identifying a user's verification information and obtaining a user's first intention information for the functional device according to the recognition result, the first intention information is used to represent the first working mode The first working parameter is modified; if a user is one of several designated users, a first control instruction is generated according to the first intention information, and the functional device is regulated according to the first control instruction, so that the functional device enters the first Two working modes; if a certain user is not one of several designated users, determine whether the certain user is associated with at least one of the several designated users; if associated, generate a second control instruction based on the first intention information, and generate a second control instruction based on the second intention information. The control instruction regulates the functional device so that the functional device enters the third working mode, which is a sub-mode of the second working mode; even if there is a multi-functional device, the user can avoid arbitrarily controlling it, and through The setting and identification of designated users and non-designated users can effectively control several working modes of functional equipment under multi-user conditions, and the working modes will not interfere with each other. There is no need for dedicated personnel to be on duty, and the flexibility of control is high. Improved multi-user experience.

In order to be able to load the above method and system to run smoothly, in addition to the above various modules, the system may also include more or less components than described above, or combine certain components, or different components, for example, it may include Input and output devices, network access devices, buses, processors and memories, etc.

The so-called processor can be a central processing unit (Central Processing Unit, CPU), or other general-purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf processor Programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can be any conventional processor, etc. The above-mentioned processor is the control center of the above-mentioned system and uses various interfaces and lines to connect various parts.

The above-mentioned memory can be used to store computer and system programs and/or modules. The above-mentioned processor implements the above-mentioned various functions by running or executing computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a stored program area and a stored data area, where the stored program area may store an operating system, at least one application required for a function (such as an information collection template display function, a product information publishing function, etc.). The storage data area can store data created based on the use of the berth status display system (such as product information collection templates corresponding to different product types, product information that needs to be released by different product providers, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card , Flash Card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

It should be understood that although the steps in the flowcharts of various embodiments of the present invention are shown in sequence as indicated by arrows, these steps are not necessarily executed in the order indicated by arrows. Unless explicitly stated in this article, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times. The order of execution is not necessarily sequential, but may be performed in turn or alternately with other steps or sub-steps of other steps or at least part of the stages.

The technical features of the above-described embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, All should be considered to be within the scope of this manual.

The above-mentioned embodiments only express several implementation modes of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the patent scope of the present invention. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the scope of protection of the patent of the present invention should be determined by the appended claims.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.

Claims (9)

1. A device control method based on big data, characterized in that the method includes: Turn on the default working mode of the functional device based on big data, and the default working mode includes a first working mode; Identify the verification information of a certain user and obtain the first intention information of the certain user for the functional device according to the identification result, where the first intention information is used to represent modification of the first working parameter of the first working mode; If a user is one of several designated users, generate a first control instruction according to the first intention information, and regulate the functional device according to the first control instruction so that the functional device enters the second working mode; If a user is not one of the designated users, determine whether the user is associated with at least one of the designated users; If associated, a second control instruction is generated according to the first intention information, and the functional device is regulated according to the second control instruction, so that the functional device enters a third working mode, and the third working mode is the second working mode. A subpattern of a pattern; The default working modes of the big data enabled functional equipment include: Statistics of historical working data of multiple functional devices under normal working conditions, where the historical working data includes historical working parameters; Match the historical working data with the current working environment of the functional equipment to obtain the first parameter range; Statistics group users’ expected parameter range for functional equipment; The intersection part of the first parameter range and the expected parameter range is calculated, and the intersection part is used as the selection range of the first operating parameter of the first operating mode. 2. The device control method based on big data according to claim 1, characterized in that the default working mode further includes a fourth working mode, and the method further includes: Obtain the main user's preference parameters for the functional device, and use the preference parameters as the second working parameters of the fourth working mode; Determine whether the deviation between the preference parameter and the intersection part is greater than a set threshold; If so, obtain the reduction and change information of the number of group users in the functional area; Determine the amount of change from the first working parameter to the preference parameter that increases or decreases according to the number of people reduction change information; The first working parameter is changed according to the change amount, so that as the group of users shrinks, the working parameter of the functional device changes from the first working parameter to the preference parameter. 3. The device control method based on big data according to claim 2, characterized in that the method further includes: When the deviation between the preference parameter and the intersection part is not greater than the set threshold, detect changes in the real-time number of people in the functional area; When the real-time number of people in the functional area reaches the preset number of people, the first working mode is switched to the fourth working mode. 4. The device control method based on big data according to claim 1, characterized in that identifying the verification information of a certain user and obtaining the first intention information of the certain user for the functional device according to the identification result includes: Detect the first distance between a user and a functional device; When the first distance reaches the set distance, obtain the display verification information of a certain user; When the verification of the displayed verification information is passed, instruct the functional device to display the identity verification interface; When the identity information obtained through the identity verification interface matches the set identity information, the first intention information input interface is displayed through the functional device and the first intention information is obtained. 5. The device control method based on big data according to claim 1, characterized in that determining whether the user is associated with at least one of a plurality of designated users includes: Determine whether a user is an authorized user of at least one designated user among several designated users; If it is determined that a user is an authorized user of at least one of several designated users, then it is determined that a certain user is associated with at least one of several designated users; If it is determined that a user is not an authorized user of the specified user, it is determined that the user is not associated with the specified user. 6. The device control method based on big data according to claim 5, characterized in that determining whether a user is an authorized user of at least one designated user among several designated users includes: Obtain the authorization identification input by a certain user and capture the first identification information of a certain user, and according to the authorization identification, search for a matching first authorization identification in the authorization identification list of the designated user; If found, obtain the user ID of the specified user based on the authorization ID list; According to the user identification, the first identification information is sent to the first terminal of the designated user to obtain the authorization information fed back by the first terminal. When the authorization information is authorized authorization, it is determined that a certain user is at least one designated user among several designated users. an authorized user, otherwise, it is determined that a user is not an authorized user of the specified user. 7. The device control method based on big data according to claim 5 or 6, characterized in that determining whether a user is an authorized user of at least one designated user among several designated users includes: Sending a wireless connection request to request connection to a second terminal, where the second terminal is an authorized terminal of a specified user, and the wireless connection request is associated with a prescribed feedback time period; When feedback information from the second terminal is received within the prescribed feedback time period, it is determined that a certain user is an authorized user of at least one designated user among a number of designated users, and the feedback information includes an authentication pass identifier of the second identification information of a certain user. ; When the feedback information from the second terminal is not received within the prescribed feedback time period, it is determined that a certain user is not an authorized user of the specified user. 8. The device control method based on big data according to claim 7, characterized in that generating the second control instruction according to the first intention information includes: Send the first intention information to the second terminal, and obtain the information to be verified returned by the second terminal. The information to be verified includes the second intention information and the positioning information of the second terminal. The second intention information is used to characterize the pair. Supplement and correction of the first intention information; When it is confirmed that the positioning information conforms to the preset positioning range according to the information to be verified, the second intention information is converted into a second control instruction. 9. An equipment control system based on big data, characterized in that the system includes: An enabling module for enabling a default working mode of the functional device based on big data, where the default working mode includes a first working mode; Intention information acquisition module, used to identify a user's verification information and obtain a user's first intention information for the functional device according to the recognition result, the first intention information is used to represent the modification of the first working parameter of the first working mode ; A judgment control module, configured to: if a user is one of several designated users, generate a first control instruction according to the first intention information, and control the functional device according to the first control instruction, so that the functional device enters the first Second working mode, if a certain user is not one of several designated users, determine whether the certain user is associated with at least one of the several designated users; The association control module is configured to, if associated, generate a second control instruction according to the first intention information, and regulate the functional device according to the second control instruction so that the functional device enters the third working mode, and the third The third working mode is a sub-mode of the second working mode; The opening module is used to: count historical working data of multiple functional devices under normal working conditions, where the historical working data includes historical working parameters; Match the historical working data with the current working environment of the functional equipment to obtain the first parameter range; Statistics group users’ expected parameter range for functional equipment; The intersection part of the first parameter range and the expected parameter range is calculated, and the intersection part is used as the selection range of the first operating parameter of the first operating mode.