Intelligent operation and maintenance method for laboratory antibacterial and anti-virus filter based on digital twinning

Abstract

The invention provides an intelligent operation and maintenance method for a laboratory antibacterial and anti-virus filter based on digital twinning, and relates to the technical field of intelligent operation and maintaining.The method comprises the steps that a digital twinning model of a target filter is constructed based on physical structure parameters and real-time state information of a laboratory air conditioning system and identity information of the target filter, and the digital twinning model of the target filter is constructed; configuring an RFID tag for the target filter, binding the target filter and the digital twinborn model through an RFID reader-writer, collecting current operation data and surrounding environment data of the target filter through a sensor network, synchronizing the current operation data and the surrounding environment data to the digital twinborn model, analyzing the performance attenuation trend of the target filter, calculating the remaining service life and predicting replacement time; based on the performance attenuation trend, the remaining service life and the predicted replacement time, filter operation and maintenance suggestions are generated and fed back to the operation and maintenance end through the HMI touch screen, and therefore real-time monitoring and intelligent operation and maintenance of the filter can be achieved through the digital twinning technology, and the replacement requirement of the filter can be accurately recognized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent operation and maintenance technology, and in particular to an intelligent operation and maintenance method for a laboratory antibacterial and antiviral filter based on digital twins. Background Art

[0002] In a high-precision clean laboratory environment, the antibacterial and antiviral filters of the air conditioning system are key components to ensure air quality and experimental safety.

[0003] Traditional filter operation and maintenance methods mainly rely on regular manual inspections and fixed-cycle replacement strategies, which cannot monitor the performance degradation of the filter in real time, resulting in inaccurate replacement timing, such as waste caused by premature replacement or safety hazards caused by late replacement. At the same time, this method lacks effective identification means and is difficult to track key information such as the installation location and usage time of the filter.

[0004] In the existing technology, although RFID technology has been applied to equipment management, it has not been deeply integrated with digital twin technology, and it is impossible to achieve dynamic simulation and predictive maintenance of the filter's entire life cycle. In addition, the data collected by the current sensor network is mostly analyzed in isolation, and the performance decay model cannot be established in combination with machine learning algorithms, which leads to insufficient prediction accuracy of the remaining service life. Especially in the antibacterial and antiviral scenarios, traditional methods are difficult to quantify the decay trend of microbial interception efficiency and cannot meet the laboratory's stringent requirements for biosafety.

[0005] Therefore, it is necessary to provide an intelligent operation and maintenance method for laboratory antibacterial and antiviral filters based on digital twins to solve the above technical problems. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides an intelligent operation and maintenance method for laboratory antibacterial and antiviral filters based on digital twins, which is used to solve the problem that the existing technology is difficult to accurately identify the replacement needs of filters and cannot realize real-time monitoring, intelligent diagnosis and precise operation and maintenance of filters based on digital twin technology.

[0007] The present invention provides a digital twin-based intelligent operation and maintenance method for a laboratory antibacterial and antiviral filter, the operation and maintenance method comprising: Based on the physical structural parameters and real-time status information of the laboratory air conditioning system and the identity information of the target filter, a digital twin model corresponding to the target filter is constructed; Configuring an RFID tag for the target filter, and binding the target filter to the corresponding digital twin model through an RFID reader / writer; Collecting the current operation data and surrounding environment data of the target filter through the laboratory sensor network and synchronizing them to the bound digital twin model; Based on the digital twin model, analyzing the performance attenuation trend of the target filter and calculating the corresponding remaining service life and predicted replacement time; Based on the performance degradation trend, the remaining service life and the predicted replacement time, filter operation and maintenance suggestions are generated and fed back to the operation and maintenance end through the HMI touch screen.

[0008] Preferably, the physical structural parameters include the air duct size and air conditioning box layout of the laboratory air conditioning system; the real-time status information includes the real-time air volume of the air conditioning unit of the laboratory air conditioning system and the laboratory ventilation times; the identity information includes the brand, model, size, grade, product serial number and initial performance parameters of the target filter; The product serial number adopts an 8-bit coding rule, the first two bits are used to identify the grade of the target filter, and the last six bits are encoded as the unique product identification code of the target filter, which is the same as the tag information written in the RFID tag.

[0009] Preferably, the RFID tag is an ultra-high frequency flexible anti-metal tag with a size of 100mm*13mm*1mm, an operating frequency of 900MHz, and complies with the EPC C1G2 protocol; The RFID reader supports 4 antenna interfaces, communicates with the background control center through the TCP / IP protocol, and reads the RFID tag in real time.

[0010] Preferably, in the laboratory air-conditioning system, the RFID reader automatically scans and obtains the number of RFID tags of all the target filters, and compares it with the preset number of unit filters. If the numbers are not equal or the RFID tags are abnormal, the HMI touch screen displays a red fault warning and locks the fan start-up of the laboratory air-conditioning system.

[0011] Preferably, the laboratory sensor network includes a differential pressure sensor, a wind speed sensor, a temperature and humidity sensor, and a particle concentration sensor; The pressure difference sensor is used to collect the current wind resistance data and the current pressure difference data of the target filter, and the wind speed sensor is used to collect the current wind speed data of the target filter, and the current wind resistance data, the current pressure difference data and the current wind speed data are summarized to obtain the current operation data; The temperature and humidity sensor and the particle concentration sensor are respectively used to collect temperature and humidity data and particle concentration data at the location of the target filter in the laboratory air-conditioning system, and to aggregate the temperature and humidity data and the particle concentration data to obtain the surrounding environment data.

[0012] Preferably, the analyzing the performance attenuation trend of the target filter and calculating the corresponding remaining service life and predicted replacement time based on the digital twin model specifically includes: Based on the digital twin model, a performance attenuation index of the target filter is selected, a performance attenuation model is constructed based on the performance attenuation index, and a performance attenuation trend is analyzed; The remaining service life is calculated based on the performance degradation index, and the predicted replacement time is determined in combination with the comprehensive replacement cost of the target filter.

[0013] Preferably, the HMI touch screen supports a hierarchical authority management mechanism and a multi-terminal access mechanism, and different levels of operation and maintenance terminals correspond to different authority management scopes.

[0014] An intelligent operation and maintenance system for laboratory antibacterial and antiviral filters based on digital twins, the operation and maintenance system comprising: A construction module is used to construct a digital twin model corresponding to the target filter based on the physical structure parameters and real-time status information of the laboratory air-conditioning system and the identity information of the target filter; A binding module, used to configure an RFID tag for the target filter and bind the target filter to the corresponding digital twin model through an RFID reader; A synchronization module, used to collect the current operation data and surrounding environment data of the target filter through a laboratory sensor network and synchronize them to the bound digital twin model; A result module, for analyzing the performance attenuation trend of the target filter and calculating the corresponding remaining service life and predicted replacement time based on the digital twin model; A feedback module is used to generate filter operation and maintenance suggestions based on the performance degradation trend, the remaining service life and the predicted replacement time, and to feed back to the operation and maintenance end through the HMI touch screen.

[0015] An electronic device comprises a memory and a processor, wherein a computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the steps of the intelligent operation and maintenance method of a laboratory antibacterial and antiviral filter based on digital twin as described in any one of the above items.

[0016] A readable storage medium having a computer program stored therein, wherein the computer program, when executed by a processor, is used to implement the steps of the intelligent operation and maintenance method of a laboratory antibacterial and antiviral filter based on digital twins as described in any one of the above.

[0017] Compared with related technologies, the intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins provided by the present invention has the following beneficial effects: The present invention can construct a digital twin model corresponding to the target filter based on the physical structure parameters and real-time status information of the laboratory air-conditioning system and the identity information of the target filter; configure an RFID tag for the target filter, and bind the target filter to the corresponding digital twin model through an RFID reader / writer; collect the current operation data and surrounding environment data of the target filter through the laboratory sensor network and synchronize them to the bound digital twin model; based on the digital twin model, analyze the performance degradation trend of the target filter and calculate the corresponding remaining service life and predicted replacement time; based on the performance degradation trend, remaining service life and predicted replacement time, generate filter operation and maintenance suggestions and feed them back to the operation and maintenance end through the HMI touch screen, so that real-time monitoring, intelligent diagnosis and precise operation and maintenance of the filter can be achieved through digital twin technology, and the replacement needs of the filter can be accurately identified.

[0018] The present invention can bind the filter to the digital twin model through an RFID tag to achieve unique identification and full life cycle tracking of the filter, solving the problem that the prior art cannot accurately identify the need for filter replacement. The present invention can construct a performance attenuation model based on multi-sensor data fusion technology and machine learning algorithms, predict the remaining life of the filter in real time, and combine the laboratory operation plan to intelligently recommend the optimal replacement time to reduce downtime failures. The method of the present invention can automatically verify the number and status of filters through an RFID reader, lock the fan start-up in case of an abnormality, effectively prevent the risk of cross-contamination caused by filter failure, and ensure the environmental safety of the laboratory. The HMI touch screen of the present invention supports hierarchical authority management and multi-terminal access mechanism, and operation and maintenance personnel can obtain operation and maintenance suggestions in real time, shortening the maintenance response time and reducing the comprehensive operation and maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flow chart of an intelligent operation and maintenance method for a laboratory antibacterial and antiviral filter based on digital twins provided in an embodiment of the present invention; Figure 2 A schematic diagram of an ultra-high frequency flexible anti-metal tag provided by an embodiment of the present invention; Figure 3 A system block diagram of a laboratory antibacterial and antiviral filter intelligent operation and maintenance system based on digital twins provided in an embodiment of the present invention; Figure 4 A schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] like Figure 1 , which is a flow chart of an intelligent operation and maintenance method for a laboratory antibacterial and antiviral filter based on digital twins provided by an embodiment of the present invention. Figure 1 The execution subject of the method shown may be a software and / or hardware device. The execution subject of the present application may include but is not limited to at least one of the following: user equipment, network equipment, etc. Among them, user equipment may include but is not limited to computers, smart phones, personal digital assistants (PDA) and the electronic devices mentioned above. Network equipment may include but is not limited to a single network server, a server group consisting of multiple network servers, or a cloud based on cloud computing consisting of a large number of computers or network servers, wherein cloud computing is a type of distributed computing, a super virtual computer composed of a group of loosely coupled computers. This embodiment does not limit this. It includes steps S1 to S5, as follows: S1, based on the physical structure parameters and real-time status information of the laboratory air-conditioning system and the identity information of the target filter, construct a digital twin model corresponding to the target filter; In a high-precision clean laboratory, the air conditioning system is responsible for maintaining a clean environment indoors. The air conditioning system may contain multiple antibacterial and antiviral filters, which are installed at different locations in the air conditioning system to perform different filtering level tasks. A complete sensor network is deployed in the laboratory to monitor the operating data and environmental data of the filters in real time. At the same time, the system is equipped with RFID readers and HMI touch screens as key devices for data interaction and display.

[0022] In actual applications, the physical structural parameters of the laboratory air-conditioning system, such as duct size, air-conditioning box layout, etc., as well as the real-time status information of the laboratory air-conditioning system, such as the real-time air volume of the air-conditioning unit and the number of laboratory ventilation times, can be obtained. Combined with the brand, model, size, grade and other identity information of the filter, as well as the initial performance parameters compiled from previous tests and historical operation data, such as filtration efficiency, initial wind resistance, etc., a digital twin model corresponding to the filter can be constructed using professional 3D modeling software.

[0023] Furthermore, the digital twin model can accurately simulate the physical structure and behavioral characteristics of the filter, so that it can accurately reflect the operating status of the real filter in the air conditioning system. For example, according to the material and structural characteristics of the filter, the resistance change and filtering effect of the airflow passing through can be simulated.

[0024] S2, configuring an RFID tag for the target filter, and binding the target filter to the corresponding digital twin model through an RFID reader / writer; It should be noted that RFID (Radio Frequency Identification) is a wireless communication technology that uses radio signals to identify specific targets and read and write data. In the operation and maintenance system of laboratory antibacterial and antiviral filters, RFID tags can be configured for each filter, and the detailed identity information of the filter, including brand, model, size, grade, product serial number, etc., can be written into the RFID tag through a special tag information writing software platform.

[0025] In addition, an RFID reader can be installed in the air conditioning unit and the parameters of the RFID reader can be configured to enable it to work stably. When the filter is installed in the air conditioning box, the RFID reader can automatically read the tag information and transmit the information to the digital twin model through the TCP / IP protocol, so that the filter can be bound to the digital twin model to ensure the one-to-one correspondence between the physical device and the virtual model.

[0026] S3, collecting the current operation data and surrounding environment data of the target filter through the laboratory sensor network and synchronizing them to the bound digital twin model; It is understandable that the sensor network in the laboratory can collect the operating data of the filter in real time, such as measuring the wind speed in the filter through a wind speed sensor; obtaining the pressure difference before and after the filter through a differential pressure sensor to calculate the wind resistance; and collecting surrounding environment data through temperature and humidity sensors and particulate matter concentration sensors.

[0027] Then, this data can be synchronized to the digital twin model according to the pre-set transmission frequency, thereby ensuring that the data is transmitted to the digital twin model accurately and in a timely manner, so that the model can reflect the actual operating conditions of the filter in real time.

[0028] S4, based on the digital twin model, analyzing the performance attenuation trend of the target filter and calculating the corresponding remaining service life and predicted replacement time; For example, based on the digital twin model, the wind resistance data can be analyzed and a wind resistance growth model can be established using regression analysis and other methods. Then, the maximum allowable wind resistance threshold of the filter can be set. When the predicted wind resistance reaches this threshold, the filter is judged to have reached its service life. The remaining service life of the filter can be calculated through the wind resistance growth model. Combined with the laboratory's operation plan and maintenance strategy, the replacement time can be predicted. For example, considering the laboratory's regular downtime for maintenance, the filter replacement operation can be arranged during the downtime period.

[0029] S5, based on the performance degradation trend, the remaining service life and the predicted replacement time, generate filter operation and maintenance suggestions and feed back to the operation and maintenance end through the HMI touch screen.

[0030] In actual applications, appropriate replacement correction suggestions can be generated based on the actual performance attenuation trend and remaining service life of the filter, combined with the expected replacement time. For example, if it is found that the remaining service life of the filter is short or the performance attenuation is obvious, it is recommended to replace the filter in time; if the installation position of the filter is found to be abnormal, it is recommended to perform installation correction. These operation and maintenance suggestions are fed back to the operation and maintenance personnel in an intuitive manner through the HMI (Human Machine Interface) touch screen. For example, the status of the filter is displayed in different colors on the touch screen. Red indicates that it needs to be replaced immediately, and yellow indicates that it is about to expire and needs special attention. The operation and maintenance personnel can perform corresponding operation and maintenance operations in a timely manner based on the feedback information to ensure the normal operation of the air conditioning system and the air quality of the laboratory.

[0031] In the specific implementation process, the physical structure parameters include the air duct size and air conditioning box layout of the laboratory air conditioning system; the real-time status information includes the real-time air volume of the air conditioning unit of the laboratory air conditioning system and the number of laboratory ventilation; the identity information includes the brand, model, size, grade, product serial number and initial performance parameters of the target filter; The product serial number adopts an 8-bit coding rule, the first two bits are used to identify the grade of the target filter, and the last six bits are encoded as the unique product identification code of the target filter, which is the same as the tag information written in the RFID tag.

[0032] In actual application, the first two digits of the product serial number represent the grade of the filter. Specifically, the "01" code represents a primary filter, which is mainly used to filter larger particulate matter in the air, such as dust and hair. The filtration efficiency of this grade of filter for particles with a particle size greater than or equal to 5.0μm is between 40% and 60%. The "02" code corresponds to a medium-efficiency filter, which can further filter medium-sized particles in the air and is usually used in air conditioning systems to protect high-efficiency filters and air conditioning equipment. The filtration efficiency of this grade of filter for particles with a particle size greater than or equal to 1.0μm is between 85% and 95%. The "03" code represents a high-efficiency filter, which is used to capture very fine particles in the air, such as bacteria, viruses, pollen, etc., and is widely used in places with extremely high air quality requirements, such as hospital operating rooms, electronic clean rooms, etc. The filtration efficiency of this grade of filter for particles with a particle size greater than or equal to 0.3μm reaches more than 99.995%.

[0033] For example, the model of a filter is an antibacterial and antiviral filter, the grade is a high-efficiency filter, and the product serial number is 03000001. For the product serial number "03000001", "03" represents a high-efficiency filter, and "000001" is a unique product identification code. Using these detailed information, combined with the brand and size of the filter, with the help of professional 3D modeling software, a digital twin model corresponding to the target filter can be constructed.

[0034] The RFID tag is an ultra-high frequency flexible anti-metal tag with a size of 100mm*13mm*1mm, an operating frequency of 900MHz, and complies with the EPC C1G2 protocol; The RFID reader supports 4 antenna interfaces, communicates with the background control center through the TCP / IP protocol, and reads the RFID tag in real time.

[0035] In high-precision laboratories, RFID tags are ultra-high frequency flexible anti-metal tags, such as Figure 2 As shown, it is a schematic diagram of an ultra-high frequency flexible anti-metal tag provided by an embodiment of the present invention. The tag has a size of 100mm*13mm*1mm, an operating frequency of 900MHz, and complies with the EPC C1G2 protocol. The RFID tag is accurately pasted on each filter, and a special tag information is written into the software platform to enter detailed information such as the filter brand, model, size, grade, product serial number, etc.

[0036] In addition, the present invention will supplement other specification parameters of the UHF flexible anti-metal tag, as shown in Table 1.

[0037] Table 1 Specifications of UHF flexible anti-metal tags

[0038] The following content will refer to the UHF flexible anti-metal label as a label. In Table 1, the label material is PET / aluminum foil / foam, and this label uses a multi-layer composite material. PET (polyethylene terephthalate) is a common plastic film with good physical and chemical properties, such as high transparency, good toughness, and chemical corrosion resistance. It can be used as the outer protective material of the label. Aluminum foil has good conductivity and shielding properties, which can enhance the label's ability to resist metal interference. Foam plays a role in buffering and supporting, helping to maintain the shape and stability of the label.

[0039] The tag dimensions are 100mm*13mm*1mm (length*width*thickness), i.e. 100mm long, 13mm wide and 1mm thick. The RFID parameter standard of the tag is EPC C1G2 (first and second generation electronic product code), which is an important standard for the UHF RFID air interface. This standard specifies the communication rules between the tag and the reader / writer, so that the brand, model, size, grade, serial number and other information stored in the RFID tag on the filter can be accurately and efficiently read and transmitted by the reader / writer.

[0040] The tag chip is NXP Ucode 8. The Ucode 8 chip has the characteristics of high performance and low power consumption. It can provide stable and reliable RFID data reading and writing functions, and performs well in anti-interference ability and data processing speed.

[0041] The EPC (Electronic Product Code) tag is used to uniquely identify items, and its memory is 128 bits, which means it can store enough coded information to meet the needs of large-scale item identification.

[0042] Tag TID (Tag Identifier) ​​is used to store information related to the tag itself, such as the manufacturer, model, version, etc. of the chip. Its memory is 96 bits, which can store enough tag feature information to help the reader recognize and distinguish different types of tags.

[0043] When using a fixed RFID reader for reading tests, the tag can be read at a distance of 9.5 meters on a metal surface and in the air. This shows that the tag has good anti-metal interference capabilities and can still maintain a reading performance similar to that in the air in a metal environment. When using a handheld RFID reader for reading tests, the tag can be read at a distance of 4.0 meters on a metal surface and in the air. In addition, the transmission power of the handheld is relatively small compared to the fixed reader, so the reading distance is also relatively short.

[0044] The tag data storage is greater than 10 years, indicating that the tag can reliably save data for more than 10 years. This is mainly because the tag uses non-volatile memory technology, which ensures long-term data storage stability even when there is no power supply.

[0045] The tag has an erasure and write count of 100,000 times, which means that the tag memory can be erased and written 100,000 times. This indicator reflects the durability and reusability of the tag. In practical applications, multiple read and write operations are common, and a higher erasure and write count can ensure that the tag can be used normally for a longer period of time.

[0046] In actual application scenarios, there are often multiple filters in the air-conditioning box, that is, a multi-tag environment. The EPC C1G2 protocol has an anti-collision algorithm that can effectively avoid tag signal conflicts. When the filter management system is running, the tags of multiple filters send signals at the same time. With the help of this protocol, the reader identifies each tag in turn according to specific rules, thereby ensuring the integrity and accuracy of information collection, avoiding data loss or errors, and ensuring the stable operation of the entire intelligent operation and maintenance system.

[0047] Inside the air conditioning unit, an RFID reader that supports 4 antenna interfaces can be installed. The reader establishes a communication connection with the background control center through the TCP / IP protocol. When the filter is installed in the air conditioning box, the reader reads the RFID tag information on the filter in real time according to the EPC C1G2 protocol.

[0048] In the laboratory air-conditioning system, the RFID reader automatically scans and obtains the number of RFID tags of all the target filters, and compares it with the preset number of unit filters. If the numbers are not equal or the RFID tags are abnormal, the HMI touch screen displays a red fault warning and locks the fan start-up of the laboratory air-conditioning system.

[0049] The RFID reader can automatically start the scanning process at a preset time interval. The reader can scan the RFID tags of all filters in the air conditioner using a 4-way antenna interface at a working frequency of 900MHz.

[0050] For example, a certain air conditioning unit is preset to install 10 filters. When the RFID reader completes the scan, the number of tags obtained can be compared with the preset number. If the number of tags scanned is less than 10, or if the tag is found to have abnormal conditions such as missing information or format errors during the tag information reading process, the HMI touch screen can quickly switch the display state and remind the operation and maintenance personnel with a striking red fault warning sign. At the same time, it can automatically lock the fan start of the laboratory air conditioning system until the operation and maintenance personnel have checked and solved the problem, and then release the fan lock, which can effectively avoid the problem of substandard air filtration caused by insufficient number of filters or abnormal tags, prevent insufficiently filtered air from entering the laboratory, and ensure the safety and stability of the experimental environment.

[0051] The laboratory sensor network includes a differential pressure sensor, a wind speed sensor, a temperature and humidity sensor, and a particle concentration sensor; The pressure difference sensor is used to collect the current wind resistance data and the current pressure difference data of the target filter, and the wind speed sensor is used to collect the current wind speed data of the target filter, and the current wind resistance data, the current pressure difference data and the current wind speed data are summarized to obtain the current operation data; The temperature and humidity sensor and the particle concentration sensor are respectively used to collect temperature and humidity data and particle concentration data at the location of the target filter in the laboratory air-conditioning system, and to aggregate the temperature and humidity data and the particle concentration data to obtain the surrounding environment data.

[0052] It is understandable that a high-precision differential pressure sensor can be installed at the front and rear air ducts of the filter. Its accuracy can reach ±0.5Pa, and the current wind resistance data and current differential pressure data of the filter can be collected in real time. In the air flow channel close to the filter, a wind speed sensor can be installed, which can accurately measure the current wind speed data.

[0053] Temperature and humidity sensors and particle concentration sensors can be installed inside the air conditioning box where the filter is located. The temperature and humidity sensor can accurately measure the temperature and humidity of the environment, with a temperature measurement accuracy of ±0.5°C and a humidity measurement accuracy of ±2%. The particle concentration sensor can monitor the particle concentration at the location of the filter in real time.

[0054] The data collected by these sensors can be synchronized to the digital twin model in real time through the network according to the pre-set data transmission frequency and path. Then, the digital twin model can update the status of the filter in real time based on this data, providing an accurate data basis for subsequent performance analysis, life prediction, and operation and maintenance decisions.

[0055] The method of analyzing the performance attenuation trend of the target filter based on the digital twin model and calculating the corresponding remaining service life and predicted replacement time specifically includes: Based on the digital twin model, a performance attenuation index of the target filter is selected, a performance attenuation model is constructed based on the performance attenuation index, and a performance attenuation trend is analyzed; The remaining service life is calculated based on the performance degradation index, and the predicted replacement time is determined in combination with the comprehensive replacement cost of the target filter.

[0056] Among them, the current wind resistance data is selected as the performance attenuation indicator, and the current wind resistance of the target filter is obtained from the digital twin model. And initial wind resistance ; A model of wind resistance changing with time, namely, a performance attenuation model, is established. The expression of the performance attenuation model is as follows: In the formula, represents the wind resistance at the current time t; k represents the wind resistance growth rate; Set the maximum allowable wind resistance of the target filter to , if the current wind resistance Reach the maximum allowable wind resistance , then the target filter needs to be replaced; Based on the above performance attenuation model, the current wind resistance is calculated. Reach the maximum allowable wind resistance The time required, i.e. the remaining service life , remaining useful life The expression is as follows:

[0057] Comprehensive replacement cost of target filter The expression is as follows: In the formula, represents the replacement cost of the target filter; represents the downtime loss of the target filter; Indicates the target filter at the candidate replacement time The shutdown indication value of Indicates the target filter at the candidate replacement time Shutdown, Indicates the target filter at the candidate replacement time No downtime; represents the risk cost of the target filter; Indicates the target filter at the candidate replacement time The probability of failure; When the total replacement cost Minimum and remaining service life When it is not 0, the corresponding candidate replacement time This is the predicted replacement time.

[0058] The HMI touch screen supports a hierarchical authority management mechanism and a multi-terminal access mechanism, and different levels of operation and maintenance terminals correspond to different authority management scopes.

[0059] The operation and maintenance end refers to the operation and maintenance management personnel of the filter. First, different levels can be set for different operation and maintenance personnel, for example, different levels such as senior operation and maintenance personnel and ordinary operation and maintenance personnel can be set. Then, different permission management scopes can be configured for each level. For example, senior operation and maintenance personnel can modify system parameters, add and delete users, etc., while ordinary operation and maintenance personnel can only view device status and execute simple operation and maintenance instructions.

[0060] When the operation and maintenance personnel log in, they can determine their permission level based on the account information they enter, and limit their operational functions according to preset rules, displaying only the operation options within the corresponding permissions.

[0061] In addition, the network communication function can be configured for the HMI touch screen, and the HMI touch screen supports a variety of terminal devices, such as computers, tablets, mobile phones, etc. By setting the adaptation interface of different terminal devices, it can ensure that the operation and maintenance personnel can operate conveniently on different screen sizes.

[0062] When logging in on different terminal devices, you can verify the permission level of the login account to ensure that the functions displayed on different terminals are consistent with the account permissions, and implement hierarchical permission management in a multi-terminal environment.

[0063] like Figure 3 As shown, it is a system block diagram of a laboratory antibacterial and antiviral filter intelligent operation and maintenance system based on digital twins provided by an embodiment of the present invention, and the operation and maintenance system includes: A construction module is used to construct a digital twin model corresponding to the target filter based on the physical structure parameters and real-time status information of the laboratory air-conditioning system and the identity information of the target filter; A binding module, used to configure an RFID tag for the target filter and bind the target filter to the corresponding digital twin model through an RFID reader; A synchronization module, used to collect the current operation data and surrounding environment data of the target filter through a laboratory sensor network and synchronize them to the bound digital twin model; A result module, for analyzing the performance attenuation trend of the target filter and calculating the corresponding remaining service life and predicted replacement time based on the digital twin model; A feedback module is used to generate filter operation and maintenance suggestions based on the performance degradation trend, the remaining service life and the predicted replacement time, and to feed back to the operation and maintenance end through the HMI touch screen.

[0064] Figure 3 The apparatus of the embodiment shown can be used to perform Figure 1 The implementation principles and technical effects of the steps in the method embodiment shown are similar and will not be repeated here.

[0065] An electronic device comprises a memory and a processor, wherein a computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the steps of the intelligent operation and maintenance method of a laboratory antibacterial and antiviral filter based on digital twin as described in any one of the above items.

[0066] like Figure 4 FIG. 4 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention. The electronic device 40 includes: a processor 41, a memory 42 and a computer program; The memory 42 is used to store the computer program, and the memory may also be a flash memory. The computer program is, for example, an application program, a functional module, etc. for implementing the above method.

[0067] The processor 41 is used to execute the computer program stored in the memory to implement each step performed by the device in the above method. For details, please refer to the relevant description in the above method embodiment.

[0068] Optionally, the memory 42 may be independent or integrated with the processor 41 .

[0069] When the memory 42 is a device independent of the processor 41, the device may further include: The bus 43 is used to connect the memory 42 and the processor 41 .

[0070] A readable storage medium having a computer program stored therein, wherein the computer program, when executed by a processor, is used to implement the steps of the intelligent operation and maintenance method of a laboratory antibacterial and antiviral filter based on digital twins as described in any one of the above.

[0071] Among them, the readable storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The computer storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, a readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application-specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the readable storage medium can also exist in a communication device as discrete components. The readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0072] The present invention also provides a program product, which includes an execution instruction, which is stored in a readable storage medium. At least one processor of a device can read the execution instruction from the readable storage medium, and at least one processor executes the execution instruction so that the device implements the methods provided in the above various embodiments.

[0073] In the embodiments of the above-mentioned devices, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0074] Through the introduction of the above embodiments, the present invention adopts an intelligent operation and maintenance method for laboratory antibacterial and antiviral filters based on digital twins. Based on the physical structure parameters and real-time status information of the laboratory air-conditioning system and the identity information of the target filter, a digital twin model corresponding to the target filter is constructed; an RFID tag is configured for the target filter, and the target filter is bound to the corresponding digital twin model through an RFID reader / writer; the current operating data and surrounding environment data of the target filter are collected through the laboratory sensor network and synchronized to the bound digital twin model; based on the digital twin model, the performance attenuation trend of the target filter is analyzed and the corresponding remaining service life and predicted replacement time are calculated; based on the performance attenuation trend, remaining service life and predicted replacement time, filter operation and maintenance suggestions are generated and fed back to the operation and maintenance end through the HMI touch screen, so that real-time monitoring, intelligent diagnosis and precise operation and maintenance of the filter can be realized through digital twin technology, and the replacement needs of the filter can be accurately identified.

[0075] The present invention can realize the unique identification and full life cycle tracking of the filter by binding the RFID tag with the digital twin model, solving the problem that the prior art cannot accurately identify the filter replacement needs. The present invention can construct a performance attenuation model based on multi-sensor data fusion technology and machine learning algorithm, predict the remaining life of the filter in real time, and combine with the laboratory operation plan to intelligently recommend the optimal replacement time to reduce downtime failures. The method of the present invention can automatically verify the number and status of the filter through the RFID reader, lock the fan start-up in case of abnormality, effectively prevent the risk of cross-contamination caused by filter failure, and ensure the environmental safety of the laboratory. The HMI touch screen of the present invention supports hierarchical authority management and multi-terminal access mechanism, and operation and maintenance personnel can obtain operation and maintenance suggestions in real time, shorten the maintenance response time, and reduce the comprehensive operation and maintenance cost.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent operation and maintenance method for laboratory antibacterial and antiviral filters based on digital twins, characterized in that: The operation and maintenance method comprises: Based on the physical structural parameters and real-time status information of the laboratory air conditioning system and the identity information of the target filter, a digital twin model corresponding to the target filter is constructed; Configure an RFID tag for the target filter, and bind the target filter to the corresponding digital twin model through a reader / writer; Collecting the current operation data and surrounding environment data of the target filter through the laboratory sensor network and synchronizing them to the bound digital twin model; Based on the digital twin model, analyzing the performance attenuation trend of the target filter and calculating the corresponding remaining service life and predicted replacement time; Based on the performance degradation trend, the remaining service life and the predicted replacement time, filter operation and maintenance suggestions are generated and fed back to the operation and maintenance end through the HMI touch screen.

2. The intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins according to claim 1 is characterized in that: The physical structure parameters include the air duct size and air conditioning box layout of the laboratory air conditioning system; the real-time status information includes the real-time air volume of the air conditioning unit of the laboratory air conditioning system and the number of laboratory ventilation; the identity information includes the brand, model, size, grade, product serial number and initial performance parameters of the target filter; The product serial number adopts an 8-bit coding rule, the first two bits are used to identify the grade of the target filter, and the last six bits are encoded as the unique product identification code of the target filter, which is the same as the tag information written in the RFID tag.

3. The intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins according to claim 1 is characterized in that: The RFID tag is an ultra-high frequency flexible anti-metal tag with a size of 100mm*13mm*1mm, an operating frequency of 900MHz, and complies with the EPC C1G2 protocol; The RFID reader supports 4 antenna interfaces, communicates with the background control center through the TCP / IP protocol, and reads the RFID tag in real time.

4. The intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins according to claim 3 is characterized in that: In the laboratory air-conditioning system, the RFID reader automatically scans and obtains the number of RFID tags of all the target filters, and compares it with the preset number of unit filters. If the numbers are not equal or the RFID tags are abnormal, the HMI touch screen displays a red fault warning and locks the fan start-up of the laboratory air-conditioning system.

5. The intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins according to claim 1 is characterized in that: The laboratory sensor network includes a differential pressure sensor, a wind speed sensor, a temperature and humidity sensor, and a particle concentration sensor; The pressure difference sensor is used to collect the current wind resistance data and the current pressure difference data of the target filter, and the wind speed sensor is used to collect the current wind speed data of the target filter, and the current wind resistance data, the current pressure difference data and the current wind speed data are summarized to obtain the current operation data; The temperature and humidity sensor and the particle concentration sensor are respectively used to collect temperature and humidity data and particle concentration data at the location of the target filter in the laboratory air-conditioning system, and to aggregate the temperature and humidity data and the particle concentration data to obtain the surrounding environment data.

6. The intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins according to claim 1 is characterized in that: The method of analyzing the performance attenuation trend of the target filter based on the digital twin model and calculating the corresponding remaining service life and predicted replacement time specifically includes: Based on the digital twin model, a performance attenuation index of the target filter is selected, a performance attenuation model is constructed based on the performance attenuation index, and a performance attenuation trend is analyzed; The remaining service life is calculated based on the performance degradation index, and the predicted replacement time is determined in combination with the comprehensive replacement cost of the target filter.

7. The intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins according to claim 1 is characterized in that: The HMI touch screen supports a hierarchical authority management mechanism and a multi-terminal access mechanism, and different levels of operation and maintenance terminals correspond to different authority management scopes.

8. The laboratory antibacterial and antiviral filter intelligent operation and maintenance system based on digital twin is applied to the laboratory antibacterial and antiviral filter intelligent operation and maintenance method based on digital twin as described in any one of claims 1 to 7, characterized in that: The operation and maintenance system includes: A construction module is used to construct a digital twin model corresponding to the target filter based on the physical structure parameters and real-time status information of the laboratory air-conditioning system and the identity information of the target filter; A binding module, used to configure an RFID tag for the target filter and bind the target filter to the corresponding digital twin model through an RFID reader; A synchronization module, used to collect the current operation data and surrounding environment data of the target filter through a laboratory sensor network and synchronize them to the bound digital twin model; A result module, for analyzing the performance attenuation trend of the target filter and calculating the corresponding remaining service life and predicted replacement time based on the digital twin model; A feedback module is used to generate filter operation and maintenance suggestions based on the performance degradation trend, the remaining service life and the predicted replacement time, and to feed back to the operation and maintenance end through the HMI touch screen.

9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor runs the computer program stored in the memory, the processor executes the steps of the intelligent operation and maintenance method of laboratory antibacterial and antiviral filters based on digital twins as described in any one of claims 1 to 7.

10. A readable storage medium having a computer program stored therein, characterized in that: When the computer program is executed by a processor, it is used to implement the steps of the intelligent operation and maintenance method of a laboratory antibacterial and antiviral filter based on digital twins as described in any one of claims 1 to 7.

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