Self-service facial water control system

Abstract

The present invention relates to the technical field of self-service settlement, and discloses a self-service facial water control system. The key points of the technical solution are as follows: the system includes a facial recognition terminal and a flow meter. The facial recognition terminal is arranged outside the bathroom, and is used to display the status of bathroom points and allow personnel to select bathroom points. A plurality of flow meters are provided and are respectively arranged in each bathroom point, and the flow meter is used to obtain the water consumption of the bathroom point. The present invention realizes the bathing consumption of personnel in a public bathroom by facial recognition. Compared with the card swiping method in the prior art, it is no longer necessary to bring a card for bathing, which effectively reduces the items that need to be brought for bathing, and also prevents the loss of the card. In addition, the present invention arranges the facial recognition terminal outside the bathroom to prevent the leakage of the privacy of the bathing personnel. The present invention also includes a set of algorithms for automatically recommending bathroom points, which recommends the idle bathroom points suitable for the personnel to the personnel in order, and reduces the time for the personnel to select the bathroom points.

Description

Technical Field

[0001] The present invention relates to the technical field of self-service settlement, and more particularly to a self-service face water control system. Background Art

[0002] At present, water control systems in the market, especially in schools, usually use card swiping to charge. Personal information and amount are written into the card in advance, and the IC card is inserted into the water control equipment on site to deduct the fee according to the consumption flow or consumption time. The card needs to be brought every time when taking a bath, which makes the whole process of bathing more troublesome and it is easy to lose the card. In addition, the temperature, humidity, brightness and other factors of each bathroom point in the bathroom are different. The existing bathroom needs to spend a lot of time to choose a bathroom point that suits you. Summary of the invention

[0003] In view of the deficiencies in the prior art, an object of the present invention is to provide a self-service face water control system to overcome the above-mentioned defects in the prior art.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a self-service facial water control system, comprising a facial recognition terminal and a flow meter, wherein the facial recognition terminal is arranged outside the bathroom, the facial recognition terminal is used to display the status of bathroom points and allow personnel to select bathroom points, and the flow meter is provided in a plurality and respectively arranged in each bathroom point, and the flow meter is used to obtain the water consumption of the bathroom point;

[0005] It also includes a database, a region recommendation module, a control module and a billing module;

[0006] The database stores a number of bathroom location information and a number of personnel information, wherein the bathroom location information reflects the location and status of each bathroom location, and the personnel information reflects historical bathing data, account information and face image information;

[0007] The face recognition terminal is also equipped with a face recognition algorithm to obtain the image of the outside of the bathroom in real time. If the detection area generates dynamic data, the dynamic data is recognized by the face recognition algorithm. If the recognition result successfully matches the personnel information, a recognition success message is generated;

[0008] The region recommendation module is configured with a first region recommendation algorithm and a vacancy recommendation strategy, wherein the vacancy recommendation strategy includes a vacancy identification step, a data calculation step, and a vacancy recommendation step:

[0009] The vacant position identification step obtains the bathroom position information and identifies the vacant bathroom positions;

[0010] The data calculation step obtains the personnel information containing historical bathing data and the bathroom location information of each free bathroom location, and brings them into the first area recommendation algorithm for calculation to obtain corresponding calculation results;

[0011] The vacant bathroom recommendation step displays the information of each vacant bathroom location in sequence on the face recognition terminal according to the calculation results for selection by personnel;

[0012] The control module obtains the personnel selection result and turns on the main switch of the water control valve corresponding to the selected bathroom location;

[0013] The billing module obtains the water consumption of the flow meter in real time and generates cost data corresponding to the water consumption. When a person finishes taking a shower, bill information corresponding to the cost data is generated and sent to the database, and the account information in the person information is deducted.

[0014] The present invention realizes the bathing consumption of people in public bathrooms by means of face recognition. Compared with the card swiping method in the prior art, it is no longer necessary to bring a card to pay for bathing, which effectively reduces the items that need to be brought for bathing and also prevents the loss of cards. In addition, the present invention configures the face recognition terminal outside the bathroom to prevent the privacy of bathers from being leaked. The present invention also includes a set of algorithms for automatically recommending bathroom locations, which recommends vacant bathroom locations suitable for people to people in order, reducing the time people spend choosing bathroom locations.

[0015] As a further improvement of the present invention, the historical bathing data includes an average bathing time of a person and an average of the values ​​in the bathroom point status when the person bathes.

[0016] As a further improvement of the present invention, the area recommendation module also includes a plurality of detection units, and the plurality of detection units are arranged in one-to-one correspondence with bathroom points. The detection units are used to detect the temperature, humidity and brightness of each bathroom point, and generate corresponding data to be reflected in the status of the bathroom point.

[0017] By setting up a plurality of the detection units, various data of each bathroom point can be obtained in real time, which effectively ensures the timeliness of the bathroom point status and improves the accuracy of the vacancy recommendation strategy.

[0018] As a further improvement of the present invention, the first region recommendation algorithm is:

[0019]

[0020] Among them, P represents the recommended value, A represents the first weight, T represents the current temperature of the bathroom point, and RH represents the current humidity of the bathroom point. It represents the average dew point temperature of the historical bathing environment of the personnel, B represents the second weight, L represents the current brightness of the bathroom point, Characterizes the historical average brightness of the environment where people take showers.

[0021] The first area recommendation algorithm can combine the status of each bathroom location with the historical bathing data of the personnel to perform scoring calculation, quantify each bathroom location, and facilitate the sorting of each bathroom location for personnel to choose.

[0022] As a further improvement of the present invention, both the first weight and the second weight can be changed.

[0023] The first weight and the second weight can be modified according to the needs of personnel, so that the bathroom location recommendation is more humane.

[0024] As a further improvement of the present invention, the face recognition terminal is equipped with a data preset module, through which a person can preset preset information containing the ambient temperature and / or ambient brightness required for bathing, and store the preset information in the database.

[0025] In actual use, it may happen that a person takes too few showers or the result of the first area recommendation algorithm deviates and needs to be corrected. The person can set the ambient temperature and / or ambient brightness values ​​by himself through the data preset module.

[0026] As a further improvement of the present invention, the data calculation step also includes a preset sub-step and a second area recommendation algorithm. If the number of historical bathing data of the personnel information is less than the preset number, enter the preset sub-step, obtain the preset information, bring the preset information into the second area recommendation algorithm for calculation, and obtain the corresponding calculation result.

[0027] Through the preset sub-step and the second area algorithm setting, the values ​​in the preset information can be brought into the second area algorithm for calculation, so as to obtain better calculation results when the historical bathing data is incomplete. The personnel are more subjective in the preset process, which may not be the most suitable bathing environment state for the personnel. Therefore, when the number of historical bathing data is greater than the preset number, the vacancy recommendation strategy and the first area recommendation algorithm can still be used for calculation and recommendation.

[0028] As a further improvement of the present invention, the second region recommendation algorithm is:

[0029]

[0030] Among them, P represents the recommended value, A represents the first weight, T represents the current temperature of the bathroom point, RH represents the current humidity of the bathroom point, X represents the dew point temperature preset by the personnel, B represents the second weight, L represents the current brightness of the bathroom point, and Y represents the brightness preset by the personnel.

[0031] The second area recommendation algorithm can combine the status of each bathroom point with the preset information to perform scoring calculation, quantify each bathroom point, and facilitate the sorting of each bathroom point for personnel selection.

[0032] As a further improvement of the present invention, it also includes a time estimation module. When obtaining the personnel selection result, the personnel information containing historical bathing data of the person in the database is obtained, and the average bathing time of the person is displayed through the face recognition terminal.

[0033] The present invention is also equipped with a time preset module, through which the estimated completion time of each bathroom point can be displayed through the face recognition terminal when all bathroom points are in use, so as to facilitate subsequent personnel to estimate the time available for bathing.

[0034] As a further improvement of the present invention, the billing module also includes an FPGA processor, the FPGA processor is communicatively connected to the plurality of flow meters, and the calculation module synchronously collects and obtains the water consumption of the plurality of flow meters through the FPGA processor.

[0035] Compared with general CPUs, FPGA processors can perform dozens of sampling calculations simultaneously, so that the calculation of water charges can be completed by setting up a billing module.

[0036] Beneficial effects of the present invention: the present invention realizes the bathing consumption of people in public bathrooms by means of face recognition. Compared with the card swiping method in the prior art, it is no longer necessary to bring a card to consume for bathing, which effectively reduces the items needed for bathing and also prevents the loss of cards. In addition, the present invention configures the face recognition terminal outside the bathroom to prevent the privacy of bathers from being leaked. The present invention also includes a set of algorithms for automatically recommending bathroom locations, which recommends vacant bathroom locations suitable for people to people in order, reducing the time people spend choosing bathroom locations. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a system diagram of the present invention.

[0038] Attached figure numerals: 31, database; 32, area recommendation module; 321, detection unit; 33, control module; 34, billing module; 35, data preset module; 36, time estimation module. DETAILED DESCRIPTION

[0039] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. The same parts are represented by the same reference numerals. It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to directions in the accompanying drawings, and the words "bottom surface" and "top surface", "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0040] The self-service face water control system of this embodiment includes a face recognition terminal and a flow meter. The face recognition terminal is arranged outside the bathroom. The face recognition terminal is used to display the status of the bathroom points and allow personnel to select bathroom points. The flow meter is provided in multiple numbers and respectively arranged in each bathroom point. The flow meter is used to obtain the water consumption of the bathroom point.

[0041] Specifically, the flow meter is arranged on the water pipe in each bathroom location to monitor the water usage in the water pipe in real time.

[0042] Specifically, the face recognition terminal includes a display device for human-computer interaction. At the same time, the face recognition terminal can display in real time the current usage status and location of all bathroom points in the bathroom on the standby interface, and display the estimated completion time of the bathing of the people in the bathroom points in use.

[0043] Specifically, the face recognition terminal includes a camera (including but not limited to a binocular camera, etc.), through which images near the face recognition terminal can be acquired.

[0044] It also includes a database 31, a region recommendation module 32, a control module 33 and a billing module 34;

[0045] Specifically, it also includes a server, and the server, the face recognition terminal, and the flow meter are all communicatively connected, wherein the database 31 is configured in the server, and the area recommendation module 32, the control module 33 and the billing module 34 can be configured in the server or the face recognition terminal.

[0046] The database 31 stores a number of bathroom location information and a number of personnel information, wherein the bathroom location information reflects the location and status of each bathroom location, and the personnel information reflects historical bathing data, account information and face image information;

[0047] Specifically, the bathroom point location is displayed in the face recognition terminal in the form of a simple diagram, and different colors can be used to distinguish the status of the bathroom point.

[0048] The face recognition terminal is also equipped with a face recognition algorithm to obtain the image outside the bathroom in real time. If the detection area generates dynamic data, the dynamic data refers to the image comparison result obtained by the face recognition terminal, that is, the comparison of the previous frame and the next frame of the picture. If the comparison result is deviated, that is, dynamic data appears, the dynamic data is recognized by the face recognition algorithm. If the recognition result successfully matches the personnel information, recognition success information is generated;

[0049] Specifically, the face recognition algorithm includes but is not limited to convolutional neural network (CNN), eigenface, etc. The specific face recognition algorithm is not within the scope of protection of the present invention and will not be described in detail.

[0050] The region recommendation module 32 is configured with a first region recommendation algorithm and a vacancy recommendation strategy, wherein the vacancy recommendation strategy includes a vacancy identification step, a data calculation step and a vacancy recommendation step:

[0051] The vacant position identification step obtains the bathroom position information and identifies the vacant bathroom positions;

[0052] The data calculation step obtains the personnel information containing historical bathing data and the bathroom location information of each free bathroom location, and brings them into the first area recommendation algorithm for calculation to obtain corresponding calculation results;

[0053] The vacant bathroom recommendation step displays the information of each vacant bathroom location in sequence on the face recognition terminal according to the calculation results for selection by personnel;

[0054] Specifically, the display device is a touch screen device, and personnel can directly perform human-computer interaction through fingers to select an empty bathroom location.

[0055] The control module 33 obtains the personnel selection result and turns on the main switch of the water control valve corresponding to the selected bathroom location;

[0056] Specifically, each water pipe in each bathroom location is equipped with the water control valve master switch, and the water control valve master switch (including but not limited to the solenoid valve) is electrically signal connected to the face recognition terminal.

[0057] The billing module 34 obtains the water consumption of the flow meter in real time and generates cost data corresponding to the water consumption. When a person finishes taking a shower, bill information corresponding to the cost data is generated and sent to the database 31 to deduct the account information in the person information.

[0058] In one embodiment, the account information is used to reflect the balance in the personnel information, and the balance in the account information can be recharged through a mobile app, a web page, etc.

[0059] In one embodiment, the historical bathing data includes an average bathing time of a person and an average of the values ​​in the bathroom point status when the person bathes.

[0060] In one embodiment, the area recommendation module 32 also includes a plurality of detection units 321, and the plurality of detection units 321 are arranged in one-to-one correspondence with bathroom locations. The detection units 321 are used to detect the temperature, humidity and brightness of each bathroom location, and generate corresponding data to reflect the status of the bathroom location.

[0061] Specifically, the detection unit 321 includes but is not limited to a thermometer, a hygrometer, an illuminometer, etc., and is used to detect each corresponding value.

[0062] In one embodiment, the first region recommendation algorithm is:

[0063]

[0064] Among them, P represents the recommended value, A represents the first weight, T represents the current temperature of the bathroom point, and RH represents the current humidity of the bathroom point. It represents the average dew point temperature of the historical bathing environment of the personnel, B represents the second weight, L represents the current brightness of the bathroom point, Characterizes the historical average brightness of the environment where people take showers.

[0065] Specifically, in the first region recommendation algorithm, a larger P value represents a larger deviation (i.e., a lower ranking in the location recommendation), T is the temperature currently read by the detection unit 321, and RH is the humidity currently read by the detection unit 321. Characterizes the average dew point temperature of the historical bathing environment of personnel. The dew point temperature can better reflect the comfort of the human body in the environment. The calculation can be obtained according to the corresponding formula or comparison table.

[0066] In one embodiment, both the first weight and the second weight can be changed.

[0067] Specifically, the first weight and the second weight can be set to 0. For people who are not sensitive to temperature or brightness, after setting the corresponding weights to 0, the value of P can be more accurate.

[0068] In one embodiment, the face recognition terminal is configured with a data preset module 35 , through which a person can preset preset information including the ambient temperature and ambient brightness required for bathing, and store the preset information in the database 31 .

[0069] In one embodiment, the data calculation step also includes a preset sub-step and a second area recommendation algorithm. If the number of historical bathing data of the personnel information is less than the preset number, enter the preset sub-step, obtain the preset information, bring the preset information into the second area recommendation algorithm for calculation, and obtain the corresponding calculation result.

[0070] Specifically, the preset number of times can be changed and set, and the preset number of times defaults to 5 times.

[0071] In one embodiment, the second region recommendation algorithm is:

[0072]

[0073] Among them, P represents the recommended value, A represents the first weight, T represents the current temperature of the bathroom point, RH represents the current humidity of the bathroom point, X represents the dew point temperature preset by the personnel, B represents the second weight, L represents the current brightness of the bathroom point, and Y represents the brightness preset by the personnel.

[0074] In one embodiment, it also includes a time estimation module 36. When obtaining the personnel selection result, the personnel information containing historical bathing data of the person in the database 31 is obtained, and the average bathing time of the person is displayed through the face recognition terminal.

[0075] In one embodiment, the billing module 34 further includes an FPGA processor, the FPGA processor is communicatively connected to the plurality of flow meters, and the calculation module synchronously collects and obtains the water consumption of the plurality of flow meters through the FPGA processor.

[0076] In one embodiment, the bathroom locations are all equipped with access control, and when a person selects an empty bathroom location, the control module 33 controls the access control to open automatically.

[0077] In one embodiment, each person's historical bathing data is provided with two groups, corresponding to winter and summer respectively.

[0078] The above are only preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. Self-service face water control system, characterized by: It includes a face recognition terminal and a flow meter. The face recognition terminal is arranged outside the bathroom. The face recognition terminal is used to display the status of bathroom points and allow personnel to select bathroom points. There are several flow meters and they are respectively arranged in each bathroom point. The flow meter is used to obtain the water consumption of the bathroom point. It also includes a database (31), a region recommendation module (32), a control module (33) and a billing module (34); The database (31) stores a plurality of bathroom location information and a plurality of personnel information, wherein the bathroom location information reflects the location and status of each bathroom location, and the personnel information reflects historical bathing data, account information and facial image information; The face recognition terminal is also equipped with a face recognition algorithm to obtain the image of the outside of the bathroom in real time. If the detection area generates dynamic data, the dynamic data is recognized by the face recognition algorithm. If the recognition result successfully matches the personnel information, a recognition success message is generated; The region recommendation module (32) is configured with a first region recommendation algorithm and a vacancy recommendation strategy, wherein the vacancy recommendation strategy comprises a vacancy identification step, a data calculation step and a vacancy recommendation step: The vacant position identification step obtains the bathroom position information and identifies the vacant bathroom positions; The data calculation step obtains the personnel information containing historical bathing data and the bathroom location information of each free bathroom location, and brings them into the first area recommendation algorithm for calculation to obtain corresponding calculation results; The vacant bathroom recommendation step displays the information of each vacant bathroom location in sequence on the face recognition terminal according to the calculation results for selection by personnel; The control module (33) obtains the personnel selection result and turns on the main switch of the water control valve corresponding to the selected bathroom location; The billing module (34) acquires the water consumption of the flow meter in real time and generates cost data corresponding to the water consumption. When the person finishes bathing, bill information corresponding to the cost data is generated and sent to the database (31), and the account information in the person information is deducted; The historical bathing data includes the average bathing time of the person and the average of the values ​​in the bathroom point status when the person bathes; The area recommendation module (32) further comprises a plurality of detection units (321), wherein the plurality of detection units (321) are arranged in one-to-one correspondence with bathroom points, and the detection units (321) are used to detect the temperature, humidity and brightness of each bathroom point, and generate corresponding data to be reflected in the status of the bathroom point; The first region recommendation algorithm is: Among them, P represents the recommended value, A represents the first weight, T represents the current temperature of the bathroom point, and RH represents the current humidity of the bathroom point. It represents the average dew point temperature of the historical bathing environment of the personnel, B represents the second weight, L represents the current brightness of the bathroom point, Characterizes the historical average brightness of the environment where people take showers.

2. The self-service face water control system according to claim 1, characterized in that: Both the first weight and the second weight can be changed.

3. The self-service face water control system according to claim 1, characterized in that: The face recognition terminal is equipped with a data preset module (35), through which a person can preset preset information containing the ambient temperature and / or ambient brightness required for bathing, and store the preset information in the database (31).

4. The self-service face water control system according to claim 1, characterized in that: The data calculation step also includes a preset sub-step and a second area recommendation algorithm. If the number of historical bathing data of the personnel information is less than the preset number, enter the preset sub-step, obtain the preset information, bring the preset information into the second area recommendation algorithm for calculation, and obtain the corresponding calculation result.

5. The self-service face water control system according to claim 4, characterized in that: The second region recommendation algorithm is: Among them, P represents the recommended value, A represents the first weight, T represents the current temperature of the bathroom point, RH represents the current humidity of the bathroom point, X represents the dew point temperature preset by the personnel, B represents the second weight, L represents the current brightness of the bathroom point, and Y represents the brightness preset by the personnel.

6. The self-service face water control system according to claim 1, characterized in that: It also includes a time estimation module (36) which, when obtaining the personnel selection result, obtains the personnel information containing historical bathing data of the personnel in the database (31), and displays the average bathing time of the personnel through the face recognition terminal.

7. The self-service face water control system according to claim 1, characterized in that: The billing module also includes an FPGA processor, which is in communication with the plurality of flow meters. The calculation module synchronously collects and obtains the water consumption of the plurality of flow meters through the FPGA processor.

Images