CN111603578A

CN111603578A - Intelligent sterilizer control system and method based on Internet of things technology

Info

Publication number: CN111603578A
Application number: CN202010431156.0A
Authority: CN
Inventors: 陈雄; 陈晟; 陆元丰; 肖勇
Original assignee: Ningbo Intelligent Manufacturing Technology Research Institute Co ltd
Current assignee: Ningbo Intelligent Manufacturing Technology Research Institute Co ltd
Priority date: 2020-05-20
Filing date: 2020-05-20
Publication date: 2020-09-01
Anticipated expiration: 2040-05-20
Also published as: CN111603578B

Abstract

The invention discloses an intelligent sterilizer control system and method based on the technology of the Internet of things.

Description

Intelligent sterilizer control system and method based on Internet of things technology

Technical Field

The invention relates to the technical field of sterilizer control, in particular to an intelligent sterilizer control system and method based on the technology of the Internet of things.

Background

The pressure steam sterilizer is designed by using the principle of moist heat sterilization of microorganisms. The sterilization principle is that the cold air is discharged from the lower vent hole by utilizing gravity displacement to lead the steam to be from top to bottom in the sterilizer, the discharged cold air is replaced by saturated steam, and the articles are sterilized by utilizing the latent heat released by the steam. The wet heat sterilization method has the advantages that steam has a strong sterilization effect, the moisture content of the mycoprotein can be increased, the mycoprotein is easy to solidify due to heating, and the death process of microorganisms is accelerated.

The medical steam sterilizer at the present stage can realize intelligent automatic control of sterilization circulation, setting of sterilization temperature, safety interlocking interaction devices (including water break protection, overpressure protection, leakage protection and the like), automatic sterilization end alarm, integration of a fault maintenance navigation expert system, whole safety monitoring, real-time fault indication, LCD display and the like, but has the following problems: 1. the sterilizer is not connected to the Internet, so that technicians need to be dispatched to the site for maintenance when problems occur, and the maintenance cost is high; 2. the sterilization effect of the sterilizer is invisible, bacteria culture is required to be carried out for detection, and supervision is inconvenient and unreliable in a mode of detecting and disinfecting records; 3. although the sterilizer has a built-in alarm detection program, when an error which cannot be controlled by the program occurs, only an alarm can be given, and accidents are easily caused if an operator is not nearby.

Disclosure of Invention

The invention aims to provide an intelligent sterilizer control system and method based on the technology of the Internet of things, so as to overcome the defects in the prior art.

In order to achieve the technical purpose, the technical scheme of the invention is realized as follows:

an intelligent sterilizer control system based on internet of things technology, the system comprising:

the data acquisition module is used for acquiring sterilization data of the sterilizer, wherein the sterilization data comprise temperature and pressure in the sterilizer and shot image data in the sterilizer, and the sterilization data are sent to the network transmission module;

the network transmission module is used for transmitting the sterilization data to the sterilizer monitoring client, receiving a control command transmitted by the sterilizer monitoring client and transmitting the control command to the sterilization control module;

the sterilization control module executes sterilization operation according to the control command;

the sterilizer monitoring client comprises a data storage module, a sterilization effect analysis module and a processing module, wherein the data storage module is used for storing the sterilization data, the sterilization effect analysis module is used for generating a sterilization report according to the sterilization data and sending the sterilization report to the processing module, and the processing module is used for analyzing the cause of the sterilizer fault according to the sterilization report and the graphic data and sending a control instruction to a network transmission module by using a preset command in the processing module.

Preferably, a Kalman filter is connected between the data acquisition module and the network transmission module.

Preferably, the sterilization monitoring client further comprises a safety protection module for performing forced intervention when the processing module detects that the sterilizer is out of order and cannot relieve the abnormality.

Preferably, the network transmission module is further configured to transmit the sterilization data to a user.

Preferably, the sterilization data further includes a sterilization job start time, a sterilization job end time, and a time taken for each sterilization job.

Preferably, the sterilizer monitoring system further comprises a clock control module for controlling the time and frequency of the sterilization data sent by the network transmission module to the sterilizer monitoring client and the user.

An intelligent sterilizer control method based on the technology of the Internet of things comprises the following steps:

sending sterilization data of the sterilizer to a sterilizer monitoring client, wherein the sterilization data comprise temperature and pressure in the sterilizer and shot image data in the sterilizer;

receiving a control instruction sent by a sterilizer monitoring client, wherein the control instruction is obtained by using a preset command in the sterilizer monitoring client on the basis of analyzing the sterilization effect and the cause of the sterilizer fault according to sterilization data;

and the sterilizer executes sterilization operation according to the control instruction.

receiving sterilization data sent by a sterilizer, wherein the sterilization data comprises temperature and pressure in the sterilizer and shot image data in the sterilizer;

and analyzing the sterilization effect and the cause of the sterilizer fault according to the sterilization data, and sending a control instruction to the sterilizer by using a command preset in the sterilizer monitoring client.

The invention has the beneficial effects that: according to the invention, the traditional high-temperature steam sterilization technology is combined with the Internet of things technology, a filtering scheme is optimized, the anti-interference capability of the sampling circuit is greatly improved, the capability of the sampling circuit for solving the problem of sampling consistency caused by component difference is enhanced, and the precision is improved; remote diagnosis service (including fault self-diagnosis based on a convolutional neural network) is provided, and enterprise maintenance cost is reduced; the sterilization data cloud backup is provided, so that supervision by a supervision department is facilitated; secondary safety protection is provided, and the safety of equipment is improved; meanwhile, by carrying out big data mining, the sterilization success rate of the sterilizer at different altitudes and regions is analyzed, parameter compensation carried out in the repair engineering is counted and fed back to an enterprise, and the sterilization success rate can be remarkably improved; in addition, the adaptive network deployment scheme and the attached registrars, network configurators and other related software are provided, so that the professional requirements of operators can be greatly reduced.

Drawings

FIG. 1 is a functional block diagram of a system according to an embodiment of the present invention;

FIG. 2 is a flow chart of a method according to an embodiment of the invention;

FIG. 3 is another flow chart of a method according to an embodiment of the invention;

FIG. 4 is a comparison graph of the effect of the Kalman filter before and after the sample data is processed in the embodiment of the invention;

FIG. 5 is a block diagram of the hardware configuration of a sterilizer using the system of the present invention;

FIG. 6 is a network deployment diagram of a multi-device networking transmission scheme of the present invention;

fig. 7 is a network deployment diagram of a single device public network direct connection transmission scheme of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention is clearly and completely described below with reference to the drawings in the embodiments of the present invention.

As shown in fig. 1, an intelligent sterilizer control system based on internet of things according to an embodiment of the present invention includes:

the data acquisition module is used for acquiring sterilization data of the sterilizer, wherein the sterilization data comprise temperature and pressure in the sterilizer, shot image data in the sterilizer, sterilization starting time, sterilization ending time and sterilization duration time, and the sterilization data are sent to the network transmission module.

And the network transmission module is used for transmitting the sterilization data to the sterilizer monitoring client, receiving a control command transmitted by the sterilizer monitoring client and transmitting the control command to the sterilization control module. Specifically, the network transmission module of the invention designs two different network deployment schemes of a multi-device networking transmission scheme and a single-device public network direct connection transmission scheme, wherein the multi-device networking transmission scheme utilizes Bluetooth or wifi to form networking transmission to a personal computer of a user, and utilizes an FTP protocol to upload the networking transmission to a cloud end, so that the multi-device networking transmission scheme is suitable for the user needing to manage a large number of sterilizers in batches; the single-equipment public network direct-connection transmission scheme sterilizer is directly connected into a public network by utilizing a 3G/4G/5G network, realizes data transmission to a cloud end through a CoAP protocol or a TCP/UDP protocol, and is suitable for remote rural clinics or users needing only a small amount of sterilizers.

And the sterilization control module executes sterilization operation according to the control command.

In this embodiment, a Kalman filter is connected between the data acquisition module and the network transmission module. The Kalman filter is commonly used for noise suppression of data sampling in radar and computer vision, ADC sampling error is greatly reduced through noise cancellation technology and sliding mean filtering, and a precision basis is provided for generated sampling pictures and subsequent fault processing through the pictures.

In this embodiment, the sterilization monitoring client further includes a safety protection module, configured to perform forced intervention when the processing module detects that the sterilizer has a fault and fails to relieve an abnormality (for example, continuous temperature rise due to failure of a heating tube due to adhesion of a thyristor in the sterilizer).

In this embodiment, the network transmission module is further configured to transmit the sterilization data to a user. Specifically, the sterilization information can be notified to the user in the form of a wechat public number push through the hardware ID number bound by the user.

In this embodiment, the sterilizer monitoring system further comprises a clock control module for controlling the time and frequency of the sterilization data sent by the network transmission module to the sterilizer monitoring client and the user.

Corresponding to the above intelligent sterilizer control system based on the internet of things technology, as shown in fig. 2, the invention also discloses an intelligent sterilizer control method based on the internet of things technology, the method comprises the following steps:

As shown in fig. 3, the invention also discloses another intelligent sterilizer control method based on the internet of things technology, which corresponds to the intelligent sterilizer control system based on the internet of things technology, and the method comprises the following steps:

When the control system and the method are used for sterilizing, the sterilizer is firstly deployed in a network.

The multi-device networking transmission scheme is characterized in that a multi-device networking transmission scheme is adopted for users needing to manage a large number of sterilizers in batches, the network topology structure of the multi-device networking transmission scheme is shown in fig. 6, Bluetooth or wifi is utilized to form a star-shaped networking to be transmitted to a personal computer of the users, an FTP (file transfer protocol) is utilized to upload the star-shaped networking to a data center, a TCP/UDP (transmission control protocol/user datagram protocol) is utilized to transmit the star-shaped networking to a smart monitoring platform of a monitoring department, meanwhile, enterprises can obtain engineering report files and monitoring curve graphs of the users through the FTP after the users are authorized.

Wherein, the net flow is joined in marriage to the bluetooth:

1-1-1, initializing a BLE function by Bluetooth;

1-1-2, establishing service through matching of three groups of UUID codes and then starting the service;

1-1-3, configuring broadcast parameters, broadcasting data and starting broadcasting;

1-1-4, scanning by an upper computer, and pairing after successfully scanning to a Bluetooth Server;

1-1-5, establishing BLE connection and starting transparent transmission mode.

The network distribution process of the Wifi module comprises the following steps:

1-2-1, binding equipment, inputting a WiFi password and requesting a distribution network token;

1-2-2, starting a hybrid mode at a hardware device end to monitor all network data packets;

1-2-3, transmitting the ssid/password/token through broadcasting and multicasting in a circulating way;

1-2-4, acquiring configuration information by the hardware equipment through a UDP packet to capture the ssid/password/token and creating a link;

1-2-5, sending a token, and registering to a server;

1-2-6, the user host searches equipment from the server side according to the token and returns equipment information.

In the specific implementation process of the 2 distribution network schemes, an independent pluggable network transmission module with solidified information can be adopted and connected with the main board through a local area network interface shown in fig. 5, and network configuration can also be modified according to own network requirements by adopting network configuration software of the upper computer.

For remote rural clinics or users who only need a small number of sterilizers, a single-device public network direct connection transmission scheme is adopted, the network topology structure is shown in fig. 7, the single-device public network direct connection transmission scheme sterilizer directly connects to a public network by using a 3G/4G/5G/NB-IOT network, data transmission to a telecommunication cloud is achieved through a CoAP protocol or a TCP/UDP protocol, an enterprise obtains data of the telecommunication cloud and transfers the data to a WeChat hardware cloud and a smart monitoring platform of a monitoring department, the enterprise can obtain engineering report files and monitoring curve graphs of the users through a UDP protocol after the users are authorized, and remote assistance and remote diagnosis are achieved through the TCP protocol by using preset commands. The distribution network scheme adopts a special chip, utilizes a serial port AT to configure distribution network information and adopts a heartbeat packet mechanism for transmission, the transmission protocols (transmission layers) are CoAP and TCP/UDP, an independent pluggable cellular network module with solidified information is adopted and is connected with a main board through a cellular network interface shown in figure 5, and a user can insert an SIM card.

Configuring sterilization parameters:

the user configures the control parameters of the sterilization through the software of the upper computer or the display panel of the sterilizer, and the user can use a plurality of standard sterilization modes cured by manufacturers and can also use a self-defined mode to execute the sterilization operation. The method comprises the following specific steps:

2-1, initializing a sterilizer, performing self-checking, and judging whether an abnormality exists;

2-2, if the distribution network flow is not abnormal, allowing a user to configure sterilization parameters, and otherwise, giving an alarm;

2-3, configuring parameters of display panels carried by user upper computer software or a sterilizer;

2-4, if the user utilizes the upper computer software to issue a command, the software automatically packages the data, and the frame format is shown in the table 1;

2-5, analyzing the command of the sterilizer equipment end, and modifying the corresponding related control parameters;

2-6, a user issues a starting command (including issuing by an upper computer and issuing through a display panel);

and 2-7, automatically detecting whether a door lock is locked, whether the water level of the water tank is normal and whether sterilization parameters can be effectively sterilized by the sterilizer equipment side, if no abnormality exists, performing sterilization operation, and otherwise, alarming.

TABLE 1 Intelligent medical sterilizer software terminal operating commands

The sterilizer automatically controls and executes sterilization operation:

the sterilizer automatically controls to perform sterilization operation and mainly comprises 6 stages, namely a preheating stage, a pre-exhausting stage, a heating stage, a temperature and pressure stabilizing stage, an exhausting stage and a drying stage (optional), wherein a signal transmission link of the sterilizer is shown in fig. 5. At intervals (the specific time changes along with the change of the sterilization process stage), packaging the acquired data to form data frames, and transmitting the data frames to an upper computer in real time through a local area network or a cellular network, wherein the frame format is shown in table 2; when the sterilization is started and finished (including abnormal), the sterilizer sends a frame of status frame to report the time used in the work, the sterilization condition and other information to the upper computer, and the frame format is shown in table 3. When the upper computer detects that the sterilizer continuously overtemperature and the self exception handling mechanism of the sterilizer is not effective, the secondary safety protection can be started, and the power supply of the sterilizer is cut off through a forced command.

TABLE 2 Intelligent medical sterilizer data frame format

TABLE 3 Intelligent medical sterilizer status frame Format

The method comprises the following specific steps:

3-1, the sterilizer issues a status frame, reports the current status, and if no abnormity exists, releases the standby status and starts working;

3-2, preheating the sterilizer, starting the steam generator to work, and jumping out when entering a temperature sensitive region of the nonlinear amplifying circuit;

3-3, initializing a sterilizer Kalman filter, starting to perform filtering operation, iterating according to 3-3-3 to 3-3-7, and comparing with the traditional filter, wherein the effect is shown in fig. 4, and the specific implementation scheme is as follows:

3-3-1, determining the measurement noise of the ADC according to a device manual (modeling);

3-3-2, determining a measurement equation and a state equation (modeling) according to the measurement noise and signal model;

3-3-3, predicting the temperature value at the current moment according to the temperature value at the previous moment;

4-3-4, calculating Kalman gain;

4-3-5, calculating the optimal estimation value of the system;

4-3-6, calculating the prediction error of the current moment according to the temperature measurement value of the current moment;

4-3-7, automatically correcting the parameters and executing 3-3-3 steps to predict the temperature value at the next moment;

3-4, heating the sterilizer at full speed, and closing the exhaust electromagnetic valve to jump out after the filtered sampling value reaches the boiling point under normal pressure;

3-5, the sterilizer enters a pre-exhaust stage, air is squeezed away through high-pressure steam, and temperature and pressure matching is achieved, and the method specifically comprises the following steps:

3-5-1, heating the sterilizer at full speed, stopping the steam generator when the exhaust temperature threshold is reached, and opening a valve to exhaust;

3-5-2, when the temperature is reduced to the heating temperature threshold value, closing the electromagnetic valve, and restarting the steam generator;

3-5-3, circularly executing the steps 3-5-1 and 3-5-2 for 3 times, wherein saturated steam can be considered in the sterilizer;

3-6, raising the temperature to a preset sterilization temperature at full speed, and entering a temperature and pressure stabilizing state;

3-7, performing PID closed-loop control, changing a PID feedback value according to the filtered temperature value so as to change the duty ratio of PWM waves, and adjusting the power of the steam generator until the sterilization operation of the preset sterilization time is completed, wherein the specific control scheme is a classical position type PID algorithm, and therefore the detailed description is omitted;

and 3-8, opening an exhaust electromagnetic valve, exhausting, heating the electric heating wire if drying operation is needed, and otherwise, finishing the work.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

1. An intelligent sterilizer control system based on internet of things technology, the system comprising:

2. The system of claim 1, wherein a Kalman filter is connected between the data acquisition module and the network transmission module.

3. The system of claim 1, wherein the sterilization monitoring client further comprises a safety protection module for performing a forced intervention when the processing module detects a sterilizer failure and fails to resolve the anomaly.

4. The system of claim 1, wherein the network transmission module is further configured to transmit the sterilization data to a user.

5. The system of claim 1, wherein the sterilization data further comprises a sterilization job start time, a sterilization job end time, and a time taken for each sterilization job.

6. The system of claim 1, further comprising a clock control module for controlling the time and frequency at which the network transmission module sends sterilization data to the sterilizer monitoring client and the user.

7. An intelligent sterilizer control method based on the technology of the Internet of things is characterized by comprising the following steps:

8. An intelligent sterilizer control method based on the technology of the Internet of things is characterized by comprising the following steps: