Charging System

Abstract

The present invention discloses a charging system, which is configured to have a face recognition terminal and multiple MCU central control modules, the MCU central control module controls and dispatches multiple charging management modules, the multiple MCU central control modules communicate with each other through the 485 module, the multiple MCU central control modules communicate with the face recognition terminal through the 232 to 485 module, the face recognition terminal communicates with the cloud server through the network communication module, wherein the face recognition terminal identifies the user identity information to determine whether to provide charging services, the MCU central control module monitors the current door lock status of the smart charging cabinet and controls the opening and closing of the smart door lock during charging, the charging management module collects the charging status data of the charging port and the charging process data of the portable device in real time and uploads them to the MCU central control module, and uploads the user information and the charging port status data, the charging process data of the portable device and the sensor detection data to the cloud server through the face recognition terminal. The present invention is helpful to effectively monitor the charging of portable devices.

Description

Technical Field

[0001] The embodiments of the present invention relate to a smart cabinet, and more particularly to a cabinet-type charging system. Background Art

[0002] At present, e-commerce businesses such as express delivery and takeout are growing rapidly. In order to improve operational efficiency, most merchants will adopt a shift system, and the portable devices used by staff (such as mobile phones) must ensure sufficient power. Generally, decentralized charging is adopted, and the storage location of the equipment is messy. When many devices are charged, the chargers and power cords will occupy most of the area. In addition, the charging management is not standardized, and the equipment used by the staff is placed randomly when it is damaged, and it is impossible to store it in a unified manner. In addition, the use and return records of the equipment when it is taken are incomplete, resulting in problems such as equipment loss. In addition, if only employees manage equipment charging, equipment damage and warranty, there will be areas where supervision is not in place. Sometimes it is impossible to fully and effectively supervise each device, and it is impossible to efficiently obtain damaged equipment during equipment warranty. In view of this, it is necessary to involve an intelligent charging cabinet for centralized charging, management and monitoring of equipment. Summary of the invention

[0003] In view of the defects of the prior art, the present invention provides a charging system, which is intended to manage, monitor and maintain the user's portable devices in an all-round way.

[0004] To solve the above problems, the present invention provides a charging system, which is configured with a face recognition terminal and multiple MCU central control modules. The MCU central control module controls and dispatches multiple charging management modules. The multiple MCU central control modules communicate with each other through the 485 module. The multiple MCU central control modules communicate with the face recognition terminal through the 232 to 485 module. The face recognition terminal communicates with the cloud server through the network communication module, wherein the face recognition terminal identifies the identity information of the user to determine whether to provide charging service. During charging, the MCU central control module monitors the current door lock status of the smart charging cabinet and controls the opening and closing of the smart door lock. The charging management module collects the charging status data of the charging port and the charging process data of the portable device in real time and uploads them to the MCU central control module, and uploads the user information and charging port status data, portable device charging process data and sensor detection data to the cloud server through the face recognition terminal.

[0005] Compared with the prior art, the embodiment of the present invention adds a charging system based on the existing smart cabinet, which has a charging management function and can obtain and monitor the working status, working current information and sensor detection data of the relevant equipment of the smart charging cabinet and report it to the cloud server, so as to facilitate the management and maintenance of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Figure 1This is a block diagram of the composition of the intelligent charging cabinet charging system according to an embodiment of the present invention;

[0007] Figure 2 This is a functional diagram of the relevant modules of the intelligent charging cabinet charging system according to an embodiment of the present invention;

[0008] Figure 3 This is a working process diagram of the charging system of the smart charging cabinet according to an embodiment of the present invention. DETAILED DESCRIPTION

[0009] The smart charging cabinet of the embodiment of the present invention is provided with a charging system, which is configured to monitor the status of all portable devices, detect the charging current of the portable devices, etc., and is provided with an overcurrent protection function. All the collected information and data will be uploaded to the network cloud server through the network interface for data statistics and analysis.

[0010] The following further describes the embodiments of the present invention in detail with reference to the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in more other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0011] See also Figure 1-Figure 2 ,in Figure 1 This is a block diagram of the charging management of the intelligent charging cabinet charging system according to an embodiment of the present invention; Figure 2 This is a functional diagram of the relevant modules of the charging system of the smart charging cabinet of the embodiment of the present invention. The smart charging cabinet can collect the status of all portable devices monitored by the smart charging cabinet to determine the time point when each charging port is used, and record the frequency and time of use of each charging port, detect the charging current of the portable device, and determine whether the charging status of each charging port is normal, whether there is a short circuit, open circuit and other phenomena, and is provided with an overcurrent protection function to protect the normal output current of the charging port and protect the safe use of the portable device. At the same time, all collected information will be uploaded to the network cloud server through the network interface for data statistics and analysis. When a short circuit or open circuit is detected, the smart cabinet itself can protect the portable device to avoid unnecessary damage caused by network delays. A maintenance cabinet is also provided at the bottom of the smart charging cabinet to store damaged portable devices. In this way, the embodiment of the present invention helps to monitor the smart charging cabinet more comprehensively and effectively, and can allocate each charging port to a fixed point and person, thereby realizing unified charging management.

[0012] Specifically, the smart charging cabinet of the embodiment of the present invention has multiple charging ports, and the smart charging cabinet is equipped with a charging system. The charging system collects the information of the user of the smart charging cabinet to determine whether to provide charging service, monitors and obtains the charging status data of the charging port, the charging process data of the portable device and the sensor detection data in the smart charging cabinet in real time during charging, and uploads the user information and the charging port status data, the portable device charging process data and the sensor detection data to the cloud server.

[0013] The charging system is configured with a face recognition terminal and several MCU central control modules. The MCU central control module controls and dispatches multiple charging management modules, where each charging management module can work independently and multiple charging management components can run simultaneously without interfering with each other to control the opening and closing of the corresponding charging port and collect the charging status data of the charging port and the charging process data of the portable device in real time. The MCU central control module monitors the current door lock status of the smart charging cabinet and controls the opening and closing of the smart door lock, obtains the sensor detection data in the smart charging cabinet, receives the data collected by the charging management module and uploads it to the face recognition terminal. The face recognition terminal identifies the identity information of the user to determine whether to provide charging service and uploads the corresponding information and data.

[0014] The charging management module is configured to determine the time point when the corresponding charging port is used and record the frequency and time of the corresponding charging port, obtain the connection status of the portable device and detect the charging current of the portable device, determine whether there is a short circuit or open circuit phenomenon and provide an overcurrent protection circuit for protection. Furthermore, the charging management module is configured to automatically close the charging port when it detects that the portable device is removed and feedback to the MCU central control module to remove the idle port from the charging current detection list and the port status detection list.

[0015] The MCU central control module is configured to predict charging faults based on the door lock status and charging port charging status data and the charging port status and portable device current information contained in the portable device charging process data, and upload the fault data to the cloud server via the face recognition terminal. Furthermore, the MCU central control module controls the data upload mode of the charging management module according to the instructions issued, and reduces the data upload frequency of the charging management module when the charging port usage density is too high, or only allows the charging management module with a higher priority to upload data.

[0016] The face recognition terminal is configured to determine whether to instruct the MCU central control module to open the door lock and charging port to provide charging services based on the recognized content and the time, in which only specific personnel can use the smart charging cabinet for charging during specific time periods. Furthermore, when providing charging services, the face recognition terminal displays the required charging port status to the user, and voice prompts some operations to enhance the human-computer interaction experience, and uploads the updated collected information and data to the cloud server. Furthermore, the face recognition terminal encrypts the uploaded information and data through encryption instructions, prevents uploaded information and data errors through verification, and reduces information and data transmission and network delays through compression.

[0017] Multiple MCU central control modules communicate with each other through the 485 module. Multiple MCU central control modules communicate with a face recognition terminal at the same time without interfering with each other through the 232 to 485 module. The face recognition terminal communicates with the cloud server through the network communication module to upload data.

[0018] In the above embodiment, the smart charging cabinet is configured with multiple charging management modules based on the MCU central control module, which are used to obtain the connection status of the device and detect the charging current, and have overvoltage and overcurrent protection functions, thereby better protecting the device and not causing harm during charging. It also has the function of cutting off the interface power supply.

[0019] In addition, the smart charging cabinet of this embodiment adds a face recognition terminal on the basis of the MCU central control module, which is used to obtain the identity information of the user, so as to manage the equipment at a fixed point and by a fixed person. Only some people can use the smart charging cabinet to prevent the theft and loss of equipment. Among them, the face recognition terminal also has a network communication module to upload the user, usage status, sensor status, current information and the detection data to the cloud server. Every time different data is detected, the face recognition terminal will upload the usage data.

[0020] In this way, the embodiment of the present invention obtains and monitors the working status of the equipment related to the smart charging cabinet, the working current information and the sensor detection data and reports them to the cloud server, which facilitates the management and maintenance of the portable device.

[0021] See also Figure 3 ,Should Figure 3The following is a working process diagram of the charging system of the smart charging cabinet of the embodiment of the present invention. At the beginning, the face recognition module on the face recognition terminal detects whether the specified person is using the device. If not, it will enter the waiting command and wait for the specified person to use the device; if the device is being used by the specified person, it will determine whether the current time is within the specified usage time. If it is not within the specified usage time, it will prompt the user to enter the waiting command after the usage time. In this way, the smart charging cabinet can only be used normally when the face recognition module detects that the user is the specified person and the current time is within the specified usage time.

[0022] When the smart charging cabinet is in normal use, it will send a signal to open the smart charging cabinet door and the corresponding charging port through the face recognition terminal to a specific MCU central control module based on the identity of the user. The MCU central control module will then control the corresponding door lock switch and charging management module, and the MCU central control module will send feedback to the face recognition terminal. When the MCU central control module executes the signal sent by the face recognition terminal to the MCU central control module to open the door and charging port, it will first open the door lock switch and detect whether the door is open. If the door is not open, an error command will be sent directly to the face recognition terminal, which will be uploaded to the cloud server by the face recognition terminal; if the door is open, the charging port switch will be turned on, and the current port will be added to the charging current detection list and port status detection list, so that the charging current and port status can be monitored in real time to see if they are normal.

[0023] When the charging port is turned on, the charging port status is not inserted within the preset time (such as 1 minute), or the charging port is inserted and the charging current is greater than the preset high value (such as 2A), or the charging port is inserted and the charging current is less than the preset low value (such as 10mA), the MCU central control module will send the current error report to the face recognition terminal, and close the charging port, and remove the wrong charging port from the charging current detection list and the port status detection list. The face recognition terminal will prompt the user and reallocate the idle charging port that can be used normally to the user. When the charging port is turned on and the port status is inserted within the preset time (such as 1 minute) and the charging current is less than 2A and greater than 10mA, it indicates that the charging is normal. The MCU central control module will send the current status to the face recognition terminal, and the face recognition terminal will prompt the user to close the door through the display screen and voice module, and wait for the user to close the door. When the detection door is not closed within the preset time (such as 1 minute), the door lock error report will be uploaded. If the door is detected to be closed, wait for the next use.

[0024] If it is detected that the portable device is removed, the charging port will be automatically closed and the idle port will be removed from the charging current detection list and the port status detection list to reduce a small amount of power loss.

[0025] At the same time, the MCU central control module can first predict whether the monitored target is normal or faulty based on the detected device charging system and detection voltage and current information, and then upload the data to the face recognition terminal.

[0026] In this embodiment, in order to better perform human-computer interaction, data is uploaded to the face recognition terminal, part of the content is displayed to the user on the face recognition terminal screen, and the data is transmitted to the network cloud server through the face recognition terminal for processing and recording.

[0027] The smart charging cabinet of the above embodiment of the present invention monitors the status of all portable devices to determine the time point when each charging port is used, and records the frequency and time of use of each charging port, detects the charging current of the portable device, and determines whether the charging status of each charging port is normal, whether there is a short circuit, a circuit break, etc., and is provided with an overcurrent protection function to protect the normal output current of the charging port and the safe use of the portable device. At the same time, all collected information will be uploaded to the network cloud server through the network interface for data statistics and analysis. When a short circuit or a circuit break is detected, the smart cabinet itself can protect the portable device to avoid unnecessary damage caused by network delays. A maintenance cabinet is also provided at the bottom of the charging cabinet to store damaged portable devices.

[0028] The smart charging cabinet of the embodiment of the present invention can be further optimized, as described below.

[0029] In order to prevent congestion, this embodiment optimizes the data transmission mode between the MCU central control module and the charging management module, that is, the charging management module uploads data only after receiving the instruction from the MCU central control module, which can reduce the transmission amount of redundant data. Specifically, the MCU central control module controls the data upload mode of the charging management module according to the instructions issued, and reduces the data upload frequency of the charging management module when the charging port usage density is too high or only allows the charging management module with a higher priority to upload data. Here, the usage density is the ratio of the number of ports in charging to the total number of charging ports, and the priority P is a function of the user identity level P1, the device identity level P2, and the device remaining power level P3, where:

[0030] P=W1*P1+W2*P2+W3*P3

[0031] W1+W2+W3=1

[0032] 0 <P1,P2,P3<1

[0033] Generally, the user identity level P1 and the device identity level P2 can simply set the priority coefficient according to their importance. For example, the more important the user and the device are, the higher the coefficient is. The remaining power level P3 of the device is negatively correlated with the power of the device. The less the remaining power of the device, the higher the remaining power level P3 of the device, that is, the devices with low remaining power are charged first. Among them, a typical method is to determine the priority according to the remaining power of the device when the usage density of the charging port is too high. In this way, when the usage density of the charging port is too high, only the charging data of some devices with higher priority P can be uploaded.

[0034] In this embodiment, when the usage density of the charging port is too high, the data volume can be reduced by reducing the data upload frequency of some portable devices. Generally speaking, the frequency of data sampling and transmission can be adjusted according to the battery charging curve, such as using the first frequency in the charging preparation stage, using the second frequency in the charging stage, and using the third frequency when the charging stage is stopped. If constant current charging is used in the charging stage, the second frequency can be reduced (such as to half of the initially set frequency).

[0035] As mentioned above, this embodiment can predict charging faults based on the door lock state and charging port charging state data and the charging port state and portable device current information contained in the portable device charging process data, and upload the fault data to the cloud server via the face recognition terminal. At this time, in the case of predicted faults, the fault level Q can be further evaluated accordingly, which is a function of the door lock fault level Q1, the charging port fault level Q2, the charging state data abnormal level Q3, and the portable device current information abnormal level Q4, where:

[0036] Q=U1*Q1+U2*Q2+U3*Q3+U4*Q4

[0037] U1+U2+U3+U4=1

[0038] 0 <Q1,Q2,Q3,Q4<1

[0039] Generally, the door lock fault level Q1 and the charging port fault level Q2 are determined based on whether they are used normally, and the charging status data abnormality level Q3 and the portable device current information abnormality level Q4 are determined based on their deviation from normal values. For example, the charging data abnormality level is specifically determined based on the charging current, voltage, temperature value, etc. If the temperature is too high, the fault risk may be higher, and the fault level will also increase accordingly.

[0040] In the embodiment of the present invention, the priority level P and the fault level S are further marked in the data uploaded by the charging management module, so as to facilitate the selection of an appropriate communication method to transmit data. In addition, the priority level P and the fault level S are used as key seeds for encryption and decryption, that is, the priority level P and the fault level S are used as seed values, and then a key is generated according to a preset algorithm, thereby realizing data encryption to ensure data security.

[0041] Specifically, considering that the amount of data transmitted in real time by the face recognition terminal of the smart charging cabinet is large, in order to ensure the stability and security of data transmission, a multi-level intermediate server is set between the face recognition terminal and the cloud server (such as the first-level server, the second-level server, the third-level server, etc., from top to bottom), and various communication methods are supported between the intermediate servers at all levels and the cloud server. In addition to supporting various existing communication methods, the intermediate servers at all levels also have dedicated security channels for specific data transmission. The multi-level intermediate servers form a hierarchical structure, in which the upper-level servers can manage the lower-level servers. After receiving the data, the lower-level servers upload it to the upper-level servers according to specific strategies.

[0042] The specific strategy is: when the fault level S reaches the preset fault value, select the fastest communication method, and then transmit data between servers based on the determined communication method; when the priority P reaches the preset priority value, use the most stable communication method to transmit data between servers; in addition, select the most secure communication method to transmit data between servers. At this time, use the priority P and fault level S as key seeds for encryption and decryption to ensure data security.

[0043] The above are only preferred embodiments of the present invention. It should be noted that the above preferred embodiments should not be regarded as limiting the present invention, and the protection scope of the present invention should be based on the scope defined by the claims. For ordinary technicians in this technical field, several improvements and modifications can be made without departing from the spirit and scope of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A charging system, It is characterized in that The charging system is configured with a face recognition terminal and multiple MCU central control modules. The MCU central control module controls and dispatches multiple charging management modules. Multiple MCU central control modules communicate with each other through the 485 module. Multiple MCU central control modules communicate with the face recognition terminal through the 232 to 485 module. The face recognition terminal communicates with the cloud server through the network communication module. The face recognition terminal identifies the identity information of the user to determine whether to provide charging services. When charging, the MCU central control module monitors the current door lock status of the smart charging cabinet and controls the opening and closing of the smart door lock. The charging management module collects the charging status data of the charging port and the charging process data of the portable device in real time and uploads them to the MCU central control module. , and upload the user information and charging port status data, portable device charging process data and sensor detection data to the cloud server through the face recognition terminal; the MCU central control module controls the data upload mode of the charging management module according to the issued instructions, and reduces the data upload frequency of the charging management module when the charging port usage density is too high or only allows the charging management module with a higher priority to upload data. The usage density is the ratio of the number of ports in charging to the total number of charging ports. The priority P is a function of the user identity level P1, the device identity level P2, and the device remaining power level P3, where: P = W1*P1+W2*P2+W3*P3; W1+W2+W3=1; 0 <P1,P2,P3<1。 2. The charging system according to claim 1, It is characterized in that The facial recognition terminal is configured to determine whether to instruct the MCU central control module to open the door lock and charging port to provide charging services based on the recognized content and the time, and upload the user, usage status, sensor status, current information and detection data to the cloud server each time different data is detected.

3. The charging system according to claim 2, It is characterized in that The face recognition terminal detects whether the device is used by the specified person. If it is not the specified person, it enters the waiting command to wait for the specified person to use the device. If the specified person is using the device, it determines whether the current time is within the specified usage time. If it is not within the specified usage time, it prompts the user to use the time and enters the waiting command.

4. The charging system according to claim 3, It is characterized in that During normal use, based on the user's identity, the face recognition terminal sends a signal to the specific MCU central control module to open the smart charging cabinet door and the corresponding charging port. The MCU central control module then controls the corresponding door lock switch and charging management module, and the MCU central control module sends feedback information to the face recognition terminal.

5. The charging system according to claim 4, It is characterized in that When the MCU central control module executes the signal sent by the face recognition terminal to the MCU central control module to open the cabin door and the charging port, it first opens the door lock switch and detects whether the cabin door is open. If the cabin door is not opened, it sends an error command to the face recognition terminal to be uploaded to the cloud server by the face recognition terminal. If the cabin door is open, it turns on the switch of the charging port and adds the current port to the charging current detection list and the port status detection list to monitor whether the charging current and port status are normal.

6. The charging system according to claim 5, It is characterized in that After the charging port is turned on, when it is detected that the charging port has not been inserted within the preset time, the charging port has been inserted and the charging current is greater than the preset high value, or the charging port has been inserted and the charging current is less than the preset low value, the MCU central control module sends the current error report to the face recognition terminal and closes the charging port. At the same time, the erroneous charging port is removed from the charging current detection list and the port status detection list, so that the face recognition terminal can prompt the user and reallocate the idle charging port that can be used normally for use; when it is detected that the port status is inserted within the preset time and the charging current is less than the preset high value and greater than the preset low value, it indicates that the charging is normal, and the MCU central control module sends the current status to the face recognition terminal, and the face recognition terminal prompts the user to close the door through the display screen and voice module and waits for the user to close the door; when it is detected that the warehouse door is not closed within the preset time, a door lock error report is uploaded. If the warehouse door is detected to be closed, wait for the next use.

7. The charging system according to claim 6, It is characterized in that When it is detected that the portable device is removed, the charging port is automatically closed and the idle port is removed from the charging current detection list and the port status detection list.

8. The charging system according to claim 1, It is characterized in that The MCU central control module predicts charging failures based on the door lock status, charging port charging status data, and the charging port status and portable device current information contained in the portable device charging process data, and uploads the fault data to the cloud server via the face recognition terminal.

9. The charging system according to claim 8, It is characterized in that Priority and fault level are marked on the data uploaded during charging to select a communication method to transmit the data, and priority and fault level are used as seed values ​​to generate a key according to a preset algorithm to implement the data.

10. The charging system according to claim 9, It is characterized in that A multi-level intermediate server is set between the face recognition terminal and the cloud server. The multi-level intermediate server forms a hierarchical structure. When the fault level S reaches the preset fault value, the fastest communication method is selected to transmit data between each server; when the priority reaches the preset priority value, the most stable communication method is used to transmit data between each server; otherwise, the safest communication method is selected to transmit data between each server.

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