An edge computing system for square cabin hospitals

Abstract

The utility model relates to an edge computing system for a square cabin hospital, which belongs to the field of edge computing technology and solves the problem that the square cabin hospital in the prior art lacks a control system with edge computing function. The system includes an edge computing device, a gigabit network switch and multiple sensors; the edge computing device includes an intelligent computing board, a base plate, an access control board, and an interface board; the network ports of the gigabit network switch are respectively connected to the intelligent computing board and the base plate; the intelligent computing board and the base plate also communicate through a bus; the access control board and the base plate are electrically connected to the interface board; the interface board receives data from multiple sensors and sends it to the base plate; the data sent by the base plate to the outside is sent out through the interface board; the interface board receives Wiegand data and transmits it to the access control board, and the access control board processes the Wiegand data and transmits it to the base plate. A fully functional, stable and reliable edge computing system for square cabin hospitals is realized.

Description

Technical Field

[0001] The utility model relates to the field of edge computing technology, and in particular to an edge computing system for a square cabin hospital. Background Art

[0002] The integration of various products from different manufacturers and models required by the shelter itself requires the edge computing module to be able to access a variety of devices and adapt to the access of devices that may be needed in the future. This requires the edge computing module to have multiple types and multiple channels of communication and I / O interfaces. On the other hand, the rapid construction characteristics of the shelter itself require the edge computing module to reduce wiring pins, be able to install quickly, and be able to intelligently identify access devices to reduce manual configuration. These two aspects are contradictory, so it is necessary to find a balance between the two to achieve the unity of module multi-function and simplicity and ease of use.

[0003] In the intelligent application of square cabins, it is necessary not only to collect and control the basic information in the cabin, but also to provide all-round information interaction for future intelligent application scenarios such as intelligent medical equipment and robots in the cabin, such as: environmental information interaction, patient status and morphology / behavior recognition, voice interaction, etc. This requires the terminal module to use the sensing devices of various connected sensors (various sensors, cameras, human-computer interaction equipment, etc.) to obtain sufficient cabin information and personnel information, and provide data guidance for the normal operation of intelligent devices / robots.

[0004] The existing technology lacks a fully functional, stable and reliable edge computing system for square cabins. Utility Model Content

[0005] In view of the above analysis, the utility model aims to provide an edge computing system for a square cabin hospital, so as to solve the problem in the prior art that a square cabin hospital lacks a fully functional, stable and reliable edge computing system.

[0006] The purpose of this utility model is mainly achieved through the following technical solutions:

[0007] An edge computing system for a cabin hospital, the system comprising an edge computing device, a gigabit network switch and multiple sensors; the edge computing device comprises an intelligent computing board, a baseboard, an access control board and an interface board; the network ports of the gigabit network switch are respectively connected to the intelligent computing board and the baseboard; the intelligent computing board and the baseboard also communicate through a bus; the access control board and the baseboard are electrically connected to the interface board; the interface board receives data from multiple sensors and sends it to the baseboard; the data sent by the baseboard to the outside is sent out through the interface board; the interface board receives Wiegand data and transmits it to the access control board, and the access control board processes the Wiegand data and transmits it to the baseboard.

[0008] Furthermore, the interface board includes 3 RS485 interfaces, 1 RS232 interface, 1 RS422 interface, 2 CAN interfaces, 3 PWM signal interfaces, 6 data input interfaces, and 8 data output interfaces.

[0009] Furthermore, the interface board also includes a Powerbus interface, through which an external fire alarm is connected.

[0010] Furthermore, the multiple sensors include environmental sensors, air quality sensors, and smoke alarms: environmental sensors include temperature and humidity sensors, air pressure sensors, noise sensors, and light intensity sensors.

[0011] Furthermore, the gigabit network switch includes 5 network ports, including 2 network ports connected to the intelligent computing board and 1 network port connected to the baseboard, as well as 2 network ports connected to external devices; the 2 network ports connected to external devices are respectively connected to the network camera and the upper-level switch.

[0012] Furthermore, the gigabit network switch includes a network switch processing chip, a network transformer, a gas discharge tube, a bidirectional TVS diode, a first current limiting resistor, a second current limiting resistor, and an RJ45 network port; the first current limiting resistor, the bidirectional TVS diode, and the second current limiting resistor are connected in series between each pair of internal differential signal pins of the network switch processing chip; the two ends of the bidirectional TVS diode are also connected to the internal differential input and output pins of the network transformer, the external input and output differential pins of the network transformer are connected to the gas discharge tube, and the gas discharge tube is also connected to the RJ45 network port.

[0013] Furthermore, the access control board includes a Wiegand processor; the Wiegand processor provides 4 Wiegand channels and 1 RS485 channel to connect to the access control card reader via the interface board.

[0014] Furthermore, the baseboard includes a baseboard basic processor GD32F470VGT7, the intelligent computing board includes an intelligent computing processor Atlas200, and the basic processor GD32F470VGT7 communicates with the intelligent computing processor Atlas200 via a CAN or RS485 bus.

[0015] Furthermore, the system also includes a wireless network interface, which includes WiFi and Bluetooth; information exchange with external terminal equipment is achieved through WiFi or Bluetooth.

[0016] Furthermore, the PWM pulses of the baseboard are sent to the external LED lights through the interface board.

[0017] Compared with the prior art, the present invention can achieve at least one of the following beneficial effects:

[0018] 1. Based on the application scenario of Fangcang Hospital, this utility model designs and develops a distributed infrastructure IoT control system for Fangcang Hospital, which serves as the information collection and control node for each cabin of Fangcang Hospital control system. This system is a distributed open platform with core capabilities such as storage and application at the network edge side of the Fangcang Hospital data source. It can provide edge intelligent services nearby, obtain information through various serial ports and network ports to connect to the terminal sensors, and perform real-time control; it meets the key needs of Fangcang Hospital digitalization in terms of agile connection, real-time business, data optimization, application intelligence, security and privacy protection.

[0019] 2. The system described in the utility model includes cabin environment monitoring, access control, lighting control, vision-based cabin personnel behavior recognition, and interaction between cabin personnel and equipment.

[0020] 3. The system described in the utility model supports direct connection of network cameras via Ethernet, allowing other video acquisition and display devices to obtain video information of cameras connected to the edge computing system through the upper-layer switch; supports the judgment, alarm and monitoring of the status and behavior of personnel in a specific area; supports connection to the command or monitoring center via remote communication, and the baseboard basic processor GD32F470VGT7 and the intelligent computing board processor Atlas200 used are both domestic embedded chips; supports distributed computing of domestic operating systems; can be used as a cabin central control device to interact with other independently running devices such as medical equipment, human-computer interaction equipment, etc. with data interaction interfaces in the room, and can be used as a remote control node to realize remote monitoring of the cabin by the central control room (including regional scene control).

[0021] In the present invention, the above-mentioned technical solutions can also be combined with each other to achieve more preferred combination solutions. Other features and advantages of the present invention will be described in the following content, and some advantages can be obvious from the description or understood by implementing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the contents specifically pointed out in the text and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are only used for the purpose of illustrating specific embodiments and are not to be considered as limiting the present invention. In the entire drawings, the same reference symbols represent the same components.

[0023] Figure 1 A schematic diagram showing the connections between the components of an edge computing system used in a square cabin hospital;

[0024] Figure 2 This is a schematic diagram of the network transformer circuit in a gigabit network switch used in an edge computing system for a square cabin hospital. DETAILED DESCRIPTION

[0025] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the present application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0026] A specific embodiment of the utility model discloses an edge computing system for a square cabin hospital, such as Figure 1 As shown. The system includes an edge computing device, a gigabit network switch and multiple sensors; the edge computing device includes an intelligent computing board, a baseboard, an access control board and an interface board; the network ports of the gigabit network switch are respectively connected to the intelligent computing board and the baseboard; the intelligent computing board and the baseboard also communicate through a bus; the access control board and the baseboard are electrically connected to the interface board; the interface board receives data from multiple sensors and sends it to the baseboard; the data sent by the baseboard to the outside is sent out through the interface board; the interface board receives Wiegand data and transmits it to the access control board, and the access control board processes the Wiegand data and transmits it to the baseboard.

[0027] The interface board includes 3 RS485 interfaces, 1 RS232 interface, 1 RS422 interface, 2 CAN interfaces, 3 PWM signal interfaces, 6 data input interfaces, and 8 data output interfaces.

[0028] Specifically, the interface board receives data from multiple sensors through RS485 interface, RS232 interface, RS422 interface, CAN interface, PWM signal interface, data input interface, and data output interface and sends it to the base plate; the data sent by the base plate to the outside is sent out through the interface board, including to multiple sensors, the door control reader of the other cabin, the door closer, the electromagnetic door lock, and the control panel.

[0029] The interface board sends the external output data sent by the base board to the external terminal device, including: 2-way electromagnetic door lock control data, 2-way door closer control data, 2-way card reader LED indicator status control data, and 2-way card reader buzzer control data.

[0030] The access control board includes a Wiegand processor; the Wiegand processor provides 4 Wiegand channels and 1 RS485 channel to connect to the access control card reader through the interface board.

[0031] Specifically, the interface board also includes 4-way Wiegand data interfaces, which are connected to the access control reader externally and the Wiegand processor of the access control board internally; the Wiegand processor is used to convert the Wiegand data of the access control reader into UART serial data and transmit it to the base processor of the base board. The 4-way Wiegand data interface of the interface board is used to receive the card reading information of 4 card readers in 2 doors.

[0032] Multiple sensors include environmental sensors, air quality sensors, and smoke alarms: Environmental sensors include temperature and humidity sensors, air pressure sensors, noise sensors, and light intensity sensors.

[0033] Specifically, environmental sensors including humidity sensors, air pressure sensors, noise sensors, light intensity sensors, as well as air quality sensors and smoke alarms are installed inside the cabin to collect temperature, humidity, air pressure, noise, light intensity, formaldehyde, carbon dioxide, PM1.0 / 2.5 / 10, TVOC in the cabin, and alarm for fire smoke, etc.

[0034] The interface board also includes a Powerbus interface, and the base board is connected to an external fire alarm via the Powerbus interface.

[0035] Specifically, the Powerbus is a master node, which can realize bus power supply with a power supply voltage of 24 V. At this time, it is necessary to ensure that the external power supply voltage of the edge computing system is 24 VDC.

[0036] The Powerbus interface is isolated from the baseboard processor by a digital isolator, and the PB620 is used as the main chip to realize the power supply and communication functions of the Powerbus slave device.

[0037] The Gigabit network switch includes 5 network ports, including 2 network ports connected to the intelligent computing board and 1 network port connected to the baseboard, as well as 2 network ports connected to external devices; the 2 network ports connected to external devices are respectively connected to the network camera and the upper-level switch.

[0038] Specifically, the baseboard communicates with the central computer through a gigabit network switch, including: the baseboard basic processor receives the fall detection alarm and personnel gathering alarm sent by the intelligent computing board processor Atlas200 and saves the information, and combines the current environment, access control information and alarm information into a cabin status message and sends it to the external central computer via Ethernet.

[0039] The gigabit network switch includes a network switch processing chip, a network transformer, a gas discharge tube, a bidirectional TVS diode, a first current limiting resistor, a second current limiting resistor, and an RJ45 network port; the first current limiting resistor, the bidirectional TVS diode, and the second current limiting resistor are connected in series between each pair of internal differential signal pins of the network switch processing chip; the two ends of the bidirectional TVS diode are also connected to the internal differential input and output pins of the network transformer, the external input and output differential pins of the network transformer are connected to the gas discharge tube, and the gas discharge tube is also connected to the RJ45 network port.

[0040] Specifically, the network transformer model is HX82409S, and the Gigabit network switching chip model is YT9215RBH. Each external network port is isolated from the outside through a network transformer. Both external network interfaces use gas discharge tubes for short-circuit protection. After the transformer isolation, bidirectional TVS diodes and current-limiting resistors are added to further limit possible surge signals.

[0041] The baseboard includes a baseboard basic processor GD32F470VGT7, the intelligent computing board includes an intelligent computing processor Atlas200, and the basic processor GD32F470VGT7 communicates with the intelligent computing processor Atlas200 through a CAN or RS485 bus.

[0042] Specifically, the intelligent computing board uses Huawei Ascend Atlas200 processor. The intelligent computing board can obtain network camera information through a gigabit network switch, complete the inference calculation of video stream information, and realize abnormal behavior judgment, including: falls, gatherings, conflicts, etc.

[0043] It should be noted that the software and algorithms used in the Atlas200 processor to identify abnormal behavior are methods in the prior art. It is only necessary to load the existing identification software into the Atlas200 processor for execution. This application does not involve any software improvements.

[0044] The baseboard includes a baseboard basic processor GD32F470VGT7 which receives status alarm messages from Atlas200 through the CAN interface, performs corresponding processing, and controls the reset, sleep, and operation of Atlas200 through the RS485 interface.

[0045] The system also includes a wireless network interface, which includes WiFi and Bluetooth; information exchange with external terminal equipment is achieved through WiFi or Bluetooth.

[0046] Specifically, the system is provided with a radio frequency antenna; the baseboard includes a baseboard basic processor GD32F470VGT7 and an ESP32 processor; the ESP32 processor receives a WiFi signal sent by an external robot through the radio frequency antenna and transmits it to the baseboard basic processor. Information exchange with external terminal devices including information exchange with the intelligent control panel and the robot is achieved through WiFi or Bluetooth.

[0047] The PWM pulses from the baseboard are sent to the external LED lights through the interface board.

[0048] Specifically, 3-way PWM output is used to control the brightness of 3 LED lights.

[0049] Compared with the prior art, this embodiment provides a distributed infrastructure IoT control system for square cabin hospitals based on the square cabin hospital application scenario, which is designed and developed as the information collection and control node for each cabin of the square cabin hospital control system. This system is a distributed open platform with core capabilities such as storage and application on the network edge side of the square cabin hospital data source. It can provide edge intelligent services nearby, obtain information through various serial ports and network ports to connect to the terminal sensors, and perform real-time control; it meets the key requirements of square cabin hospital digitalization in agile connection, real-time business, data optimization, application intelligence, security and privacy protection. The system described in this embodiment includes square cabin environment monitoring, access control, lighting control, and vision-based cabin personnel behavior recognition, cabin personnel, and equipment interaction. The system described in this embodiment supports direct connection of network cameras via Ethernet, allowing other video acquisition and display devices to obtain video information from cameras connected to the edge computing system through the upper-layer switch; supports the judgment, alarm and monitoring of the status and behavior of personnel in a specific area; supports connection to a command or monitoring center via remote communication, and supports domestic embedded operating systems and distributed computing; can be used as a cabin central control device to exchange data with other independently running devices such as medical equipment, human-computer interaction equipment, etc. with data interaction interfaces in the cabin, and can be used as a remote control node to realize remote monitoring of the cabin by the central control room (including regional scene control).

[0050] Those skilled in the art can understand that the programs / software involved in the edge computing system in the above-mentioned embodiments are common methods in the prior art, and the present utility model does not involve any software improvements. The present utility model only requires that each device with corresponding functions be connected through the connection relationship given in the embodiment of the present utility model, which does not involve any program software improvements. As for the connection method between the hardware devices of each corresponding function, it can be implemented by those skilled in the art using the prior art, and will not be described in detail here.

[0051] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed in the present invention should be included in the protection scope of the present invention.

Claims

1. An edge computing system for a square cabin hospital, characterized in that: The system includes an edge computing device, a gigabit network switch and multiple sensors; the edge computing device includes an intelligent computing board, a base board, an access control board and an interface board; the network ports of the gigabit network switch are respectively connected to the intelligent computing board and the base board; the intelligent computing board and the base board also communicate through a bus; the access control board and the base board are electrically connected to the interface board; the interface board receives data from multiple sensors and sends it to the base board; the data sent by the base board to the outside is sent out through the interface board; the interface board receives Wiegand data and transmits it to the access control board, and the access control board processes the Wiegand data and transmits it to the base board.

2. The edge computing system according to claim 1, characterized in that: The interface board includes 3 RS485 interfaces, 1 RS232 interface, 1 RS422 interface, 2 CAN interfaces, 3 PWM signal interfaces, 6 data input interfaces, and 8 data output interfaces.

3. The edge computing system according to claim 2, characterized in that: The interface board also includes a Powerbus interface, through which an external fire alarm is connected.

4. The edge computing system according to claim 1, characterized in that: Multiple sensors include environmental sensors, air quality sensors, and smoke alarms: Environmental sensors include temperature and humidity sensors, air pressure sensors, noise sensors, and light intensity sensors.

5. The edge computing system according to claim 1, characterized in that: The Gigabit network switch includes 5 network ports, including 2 network ports for connecting to the intelligent computing board and 1 network port for connecting to the baseboard, as well as 2 network ports for connecting to external devices. The 2 network ports for connecting external devices are connected to the network camera and the upper switch respectively.

6. The edge computing system according to claim 5, characterized in that: The gigabit network switch includes a network switch processing chip, a network transformer, a gas discharge tube, a bidirectional TVS diode, a first current limiting resistor, a second current limiting resistor, and an RJ45 network port; the first current limiting resistor, the bidirectional TVS diode, and the second current limiting resistor are connected in series between each pair of internal differential signal pins of the network switch processing chip; the two ends of the bidirectional TVS diode are also connected to the internal differential input and output pins of the network transformer, the external input and output differential pins of the network transformer are connected to the gas discharge tube, and the gas discharge tube is also connected to the RJ45 network port.

7. The edge computing system according to claim 1, characterized in that: The access control board includes a Wiegand processor; the Wiegand processor provides 4 Wiegand channels and 1 RS485 channel to connect to the access control card reader through the interface board.

8. The edge computing system according to claim 1, characterized in that: The baseboard includes a baseboard basic processor GD32F470VGT7, the intelligent computing board includes an intelligent computing processor Atlas200, and the basic processor GD32F470VGT7 communicates with the intelligent computing processor Atlas200 through a CAN or RS485 bus.

9. The edge computing system according to claim 1, characterized in that: The system also includes a wireless network interface, which includes WiFi and Bluetooth; information exchange with external terminal equipment is achieved through WiFi or Bluetooth.

10. The edge computing system according to claim 2, characterized in that: The PWM pulses from the baseboard are sent to the external LED lights through the interface board.

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