CN109407629B - Pathogen online monitoring system and method - Google Patents

Pathogen online monitoring system and method Download PDF

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Publication number
CN109407629B
CN109407629B CN201811054304.0A CN201811054304A CN109407629B CN 109407629 B CN109407629 B CN 109407629B CN 201811054304 A CN201811054304 A CN 201811054304A CN 109407629 B CN109407629 B CN 109407629B
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monitoring
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pathogen
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CN109407629A (en
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汤飞
夏铭辰
李俊恒
刘英良
黄运鹏
胡元成
张秀娟
周雅华
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Guangzhou Jilan Medical Technology Co ltd
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Guangzhou St Testing Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention discloses a pathogen online monitoring system and a method, wherein the method comprises the following steps: the detection device samples and enriches the air in the field environment, detects and analyzes pathogens to obtain monitoring data, processes the monitoring data and sends the processed monitoring data to the cloud server in a wireless mode; and after receiving the monitoring data sent by each detection device, the cloud server processes the monitoring data according to a preset mode, classifies and stores the monitoring data according to the type of the monitoring data, and automatically generates a monitoring information report, so that the on-line monitoring of pathogens is realized. According to the invention, the detection device is used for detecting pathogens in the air in real time, the detected data are sent to the cloud server, and the cloud server processes and analyzes the detected data, so that the epidemic situation can be found in time, the epidemic source area can be rapidly determined, the epidemic situation can be effectively monitored and early warned, and the method can be widely applied to the technical field of online monitoring.

Description

Pathogen online monitoring system and method
Technical Field
The invention relates to the technical field of on-line monitoring, in particular to a pathogen on-line monitoring system and method.
Background
With the rapid development of economy, the number and scale of cities are greatly increased, and more people in cities gather to refract the severity of the health problems of urban population in China.
Infectious disease prevention and control is also an important aspect in the urban population health safety prevention and control system, and refers to prevention, treatment and epidemic control of infectious diseases in the public health field by taking the national disease control centers at all levels as the main comprehensive medical and health departments, administrative management departments at all levels and all social circles. Infectious disease prevention and control the focus of infectious disease prevention is to investigate the presence of infectious diseases in our surrounding environment, determine the source of the disease, and understand the main host and main vector of the disease through close monitoring before the disease affects humans. At present, the industry basically recognizes and masters the transmission route and mode, transmission and epidemic links, course change of infectious diseases and the like of infectious diseases, discovers and confirms specific pathogens, and also discovers that the infectious diseases have epidemiological characteristics and show the characteristics of epidemiology (distribution, epidemic, pandemic and outbreak), regionality, seasonality, periodicity and the like. Meanwhile, the weakest link in the process is found by continuously knowing the natural circulation process of each infectious disease. In addition, in the current stage, aiming at the common lack of effective prevention and treatment means for new and severe infectious diseases, most of the new and severe infectious diseases are isolated after epidemic outbreak is found, and an effective monitoring and early warning mechanism is lacked.
The development and application of the field detection technology can detect pathogens in real time, and is important for taking measures in time and preventing and controlling epidemic spread. Because the characterization of the biological safety threat emergency can be various, a multi-angle and multi-level information platform is required to support, a center for comprehensive analysis of the biological threat emergency information is formed, information of all aspects is integrated, related departments are informed in time, and an analysis result, early warning and prompt information are provided so as to effectively respond. The information early warning system for early identifying the bio-threat event, so that the establishment and the response of the system are important contents for the construction of national bio-defense capability.
Name interpretation:
pathogen: microorganisms (including bacteria, viruses, rickettsiae, fungi), parasites or other vectors (recombinant microorganisms including hybrids or mutants) that can cause diseases of human or animal and plant infection.
Online monitoring: the device is used for detecting the state of a device in real time, and continuously and automatically monitors equipment through monitoring instruments arranged on a production line and the equipment and uploads the equipment to a terminal.
A sensor: the sensor is a detection device which can sense the measured information and convert the sensed information into digital signals, optical signals and other information output in required forms according to a certain rule so as to meet the requirements of information transmission, processing, storage, display, recording, control and the like.
Disclosure of Invention
In order to solve the above technical problems, it is an object of the present invention to provide a system capable of on-line monitoring pathogens in real time.
It is another object of the present invention to provide a method that enables on-line monitoring of pathogens in real time.
The technical scheme adopted by the invention is as follows:
a pathogen online monitoring system comprises a cloud server and a plurality of movable detection devices which are distributed in different places, wherein the cloud server is respectively connected with the detection devices in a wireless communication mode;
the detection device is used for sampling and enriching air in a field environment, detecting and analyzing pathogens to obtain monitoring data, processing the monitoring data and then sending the monitoring data to the cloud server in a wireless mode;
the cloud server is used for processing the monitoring data according to a preset mode after receiving the monitoring data sent by each detection device, classifying and storing the monitoring data according to the type of the monitoring data, and automatically generating a monitoring information report, so that the on-line monitoring of pathogens is realized.
Furthermore, each detection device includes the shell and sets up the circuit board in the shell, be equipped with air intake, air outlet and power source on the shell, be equipped with monitoring module, node module and data transmission module on the circuit board, the node module is connected with monitoring module and data transmission module respectively, the data transmission module passes through the wireless communication mode and is connected with high in the clouds server.
Further, a pathogen sensor, a detection controller, a temperature controller, a humidity controller, a wind speed controller and a gas sensor are arranged on the monitoring module, and the detection controller is respectively connected with the pathogen sensor, the temperature controller, the humidity controller, the wind speed controller, the gas sensor and the node module;
the pathogen sensor is used for detecting pathogens in the air and obtaining pathogen data;
the temperature controller is used for sensing and controlling the temperature in the detection device;
the humidity controller is used for sensing and controlling the humidity in the shell;
the wind speed controller is used for controlling the wind speed of the sampled air so as to control the flow of the sampled air;
the gas sensor is used for detecting the content of the specified gas so as to obtain external environment data;
the detection controller is used for controlling the working states of the pathogen sensor, the temperature controller, the humidity controller, the wind speed controller and the gas sensor;
the monitoring data includes pathogen data and external environmental data.
Further, the node module comprises a positioning device, a processor, a wind speed compensation controller, a humidity compensation controller and a template block in-out controller, wherein the processor is respectively connected with the positioning device, the wind speed compensation controller, the humidity compensation controller, the template block in-out controller, a monitoring module and a data transmission module;
the positioning device is used for acquiring the position information of each detection device;
the wind speed compensation controller is used for compensating the sampled wind speed and flow rate so as to obtain constant flow rate;
the humidity compensation controller is used for compensating the humidity in the shell when the humidity in the shell is lower than a threshold humidity;
the template block in-out controller is used for controlling the working state of the template block in the detection device;
the processor is used for controlling the working states of the positioning device, the wind speed compensation controller, the humidity compensation controller and the template block access controller, preliminarily screening the monitoring data, and acquiring and correcting wrong monitoring data.
Further, the data transmission module comprises an A/O conversion unit, a data encryption unit, a microprocessor and a first wireless communication unit, wherein the microprocessor is respectively connected with the A/O conversion unit, the data encryption unit and the first wireless communication unit;
the A/O conversion unit is used for carrying out A/O conversion on the monitoring data;
the data encryption unit is used for encrypting the converted monitoring data;
the microprocessor is used for controlling the working states of the A/O conversion unit, the data encryption unit and the first wireless communication unit, uploading the monitoring data to the cloud server through the first wireless communication unit, and downloading the management data and the remote monitoring data sent by the cloud server.
Furthermore, the data transmission module also comprises a second wireless communication unit which is connected with the microprocessor;
the second wireless communication unit is used for being connected to an intelligent terminal of a field operator, and the intelligent terminal reads and interacts node data of the detection device through an application program, so that relevant values of the detection device are corrected and debugged.
Further, the cloud server comprises a processing and analyzing module and a database module, and the processing and analyzing module is respectively connected with the data transmission module and the database module.
Further, the processing and analyzing module comprises a data conversion unit, a data screening and translating unit, a data decryption unit, a data visualization classification unit and a third wireless communication unit;
the third wireless communication unit is used for receiving the data uploaded by the detection device and sending the management data and the remote monitoring data to the detection device;
the data conversion unit is used for performing conversion processing on the received monitoring data;
the data decryption unit is used for decrypting the monitoring data;
the data screening and translating unit is used for screening and capturing monitoring data according to a preset mode and translating the captured data so as to realize the process of semantic recognition;
the data visualization classification unit is used for presenting data values in various associated data forms or visualization chart forms after processing the monitoring data.
Further, the database module comprises a data compression unit, a statistic grouping unit and a report generation unit;
the data compression unit is used for carrying out lossless compression processing on data by a first preset program and removing invalid data and repeated data;
the statistical grouping conversion unit is used for screening the validity of the data, counting repeated data, combining the data of the same type, and converting different types of data to achieve the consistency of data formats to form mode data;
and the report generation unit is used for carrying out centralized summary analysis on the data according to a second preset program and making pathogen distribution statistics.
The other technical scheme adopted by the invention is as follows:
an on-line pathogen monitoring method, comprising the following steps:
the detection device samples and enriches the air in the field environment, detects and analyzes pathogens to obtain monitoring data, processes the monitoring data and sends the processed monitoring data to the cloud server in a wireless mode;
and after receiving the monitoring data sent by each detection device, the cloud server processes the monitoring data according to a preset mode, classifies and stores the monitoring data according to the type of the monitoring data, and automatically generates a monitoring information report, so that the on-line monitoring of pathogens is realized.
The invention has the beneficial effects that: according to the invention, the detection device is used for detecting pathogens in the air in real time, the detected data are sent to the cloud server, the cloud server processes and analyzes the detected data, and a monitoring information report is automatically generated, so that the epidemic situation can be found in time, the epidemic source area can be quickly determined, the information of the epidemic situation is not required to be known after the epidemic situation is outbreak, and the epidemic situation is effectively monitored and early warned.
Drawings
FIG. 1 is a schematic diagram of the structure of an on-line pathogen monitoring system according to the present invention;
FIG. 2 is a block diagram of a monitoring module;
FIG. 3 is a block diagram of a node module;
FIG. 4 is a block diagram of a data transmission module;
FIG. 5 is a block diagram of a process analysis module;
FIG. 6 is a block diagram of the structure of the database module;
FIG. 7 is a flow chart of the steps of an online pathogen monitoring method of the present invention.
Detailed Description
Example one
As shown in fig. 1, an online pathogen monitoring system includes a cloud server and a plurality of mobile detection devices distributed at different locations, wherein the cloud server is connected to the detection devices in a wireless communication manner;
the detection device is used for sampling and enriching air in a field environment, detecting and analyzing pathogens to obtain monitoring data, processing the monitoring data and then sending the monitoring data to the cloud server in a wireless mode;
the cloud server is used for processing the monitoring data according to a preset mode after receiving the monitoring data sent by each detection device, classifying and storing the monitoring data according to the type of the monitoring data, and automatically generating a monitoring information report, so that the on-line monitoring of pathogens is realized.
The working principle of the monitoring system is as follows: the detection devices are distributed at a plurality of positions in a city, automatically collect air in a field environment, enrich the collected air to form a liquid sample or other samples, and detect pathogens in the liquid sample, so that monitoring data are obtained. The detection device processes the monitoring data and sends the processed monitoring data to the cloud server in a wireless mode. After the cloud server processes the received monitoring data, the monitoring data are screened and classified according to the type of the monitoring data, a monitoring information report is automatically generated, and managers can timely and clearly know the pathogen condition through the monitoring information report, so that the urban prevention work can be rapidly and accurately deployed, new infectious diseases and outburst epidemic situations can be effectively pre-warned and prevented and controlled, the urban safety is greatly improved, and the health safety of urban residents is guaranteed. In fig. 1, the detecting device 1 represents a first detecting device, the detecting device 2 represents a second detecting device, and the detecting device n represents an nth detecting device.
Further as a preferred embodiment, each of the detection devices includes a housing and a circuit board disposed in the housing, the housing is provided with an air inlet, an air outlet and a power interface, the circuit board is provided with a monitoring module, a node module and a data transmission module, the node module is respectively connected with the monitoring module and the data transmission module, and the data transmission module is connected with the cloud server in a wireless communication manner.
The detection device is integrated and miniaturized, the position of the detection device can be conveniently moved, and the detection device can be randomly fixed in a field monitoring point for application. When the detection device samples air, the air flows out from the air inlet and the air outlet. And (4) sampling air, and then carrying out pathogen enrichment treatment.
Generally, the pathogen content in air is very low, usually in the form of an aerosol. The essence of the pathogen collection process is the process of enriching the aerosol in the air to obtain the pathogens. Therefore, the core technology of the pathogen collection process is the efficient enrichment of pathogens. The method can be divided into two forms of passive enrichment and active enrichment according to the enrichment motility. The passive pathogen enriching method mainly includes natural settling method and electrostatic sampling method, and the active collection mainly adopts active collection sampler, and these active collection samplers include slit sampler, centrifugal impact sampler, filtering sampler and electrostatic sampler.
Referring to fig. 2, as a further preferred embodiment, a pathogen sensor, a detection controller, a temperature controller, a humidity controller, a wind speed controller and a gas sensor are arranged on the monitoring module, and the detection controller is respectively connected with the pathogen sensor, the temperature controller, the humidity controller, the wind speed controller, the gas sensor and the node module;
the pathogen sensor is used for detecting pathogens in the air and obtaining pathogen data;
the temperature controller is used for sensing and controlling the temperature in the detection device;
the humidity controller is used for sensing and controlling the humidity in the shell;
the wind speed controller is used for controlling the wind speed of the sampled air so as to control the flow of the sampled air;
the gas sensor is used for detecting the content of the specified gas so as to obtain external environment data;
the detection controller is used for controlling the working states of the pathogen sensor, the temperature controller, the humidity controller, the wind speed controller and the gas sensor;
the monitoring data includes pathogen data and external environmental data.
After pathogens are enriched, detection is carried out on a monitoring module, a detected sample is a liquid sample formed after air gas is enriched, the principle of sample formation is that gas with certain humidity naturally forms liquid through condensation under the condition of difference of internal temperature and external temperature of an enrichment device, the internal temperature and the external temperature are monitored and controlled to be more than or equal to 1 ℃, condensed water can be formed in 5 +/-1 min, and the ambient gas is condensed into the liquid. Because real-time detection is required, a rapid detection technology is required, and a pathogen sensor is adopted for detection in the invention. The pathogen sensor at least comprises one of a microfluidic chip, a colloidal gold immunochromatographic chip and a protein chip. The pathogen can be rapidly detected by the pathogen sensor.
In order to ensure the controllability of the gas entering process and facilitate the measurement of the flow rate, the wind speed monitoring is necessary, and a wind speed controller is arranged for controlling the wind speed. Meanwhile, the existence condition of pathogens in the air environment is also related to the gas content and the humidity content in the environment, and a humidity controller and gas monitoring in the monitoring module are very necessary for the whole monitoring module. Wherein, gas monitoring is carried out through a gas sensor, and the gas monitoring is mainly carried out by measuring and recording the contents of H2S, CO2, CO, HCHO and SO2 gases. In addition, in the analysis process of each acquired sample, the sampling time and the sampling interval are recorded, so that the recording and tracing are convenient.
Referring to fig. 3, further as a preferred embodiment, the node module includes a positioning device, a processor, a wind speed compensation controller, a humidity compensation controller, and a template block access controller, and the processor is respectively connected to the positioning device, the wind speed compensation controller, the humidity compensation controller, the template block access controller, the monitoring module, and the data transmission module;
the positioning device is used for acquiring the position information of each detection device;
the wind speed compensation controller is used for compensating the sampled wind speed and flow rate so as to obtain constant flow rate;
the humidity compensation controller is used for compensating the humidity in the shell when the humidity in the shell is lower than a threshold humidity;
the template block in-out controller is used for controlling the working state of the template block in the detection device;
the processor is used for controlling the working states of the positioning device, the wind speed compensation controller, the humidity compensation controller and the template block access controller, preliminarily screening the monitoring data, and acquiring and correcting wrong monitoring data.
The node module is connected with the downstream equipment of the monitoring module, can provide a series of compensation control made aiming at the monitoring parameters, adjusts the overall monitoring external environment, meets the requirement of monitoring data, and improves the authenticity and reliability of the data. Be equipped with positioner on the node module, provide detection device's locating signal, the every detection device's of operating personnel remote monitoring position condition of being convenient for, including positional information in the locating signal, still included timestamp information. The processor is the general control device of the module and provides the switch control of the circuit. The humidity compensation controller is a device that compensates for when the humidity monitoring in the monitoring module is below a threshold, which can provide sterile water to even and increase the humidity content of the air. The wind speed compensation controller is a device for compensating the condition that the wind speed monitoring in the monitoring module is lower than a threshold value, and provides stable wind speed and flow and continuous constant flow. The template block in-out controller is a controller for regulating and controlling the automatic in-out of the template block, and is combined with the processor to control the time consumption, speed, frequency and residence time of the in-out of the template block. The processor also performs preliminary screening and error correction analysis on the data. The method mainly focuses on data screening aiming at time, place, sensor chip reaction and template block access strategies, timely removes or corrects error data, and reduces inaccurate data caused by system errors and random errors. The data screening in the node module only screens the surface data, and the deep logic screening and error correction are completed in the rear template.
Referring to fig. 4, further as a preferred embodiment, the data transmission module includes an a/O conversion unit, a data encryption unit, a microprocessor and a first wireless communication unit, and the microprocessor is connected to the a/O conversion unit, the data encryption unit and the first wireless communication unit respectively;
the A/O conversion unit is used for carrying out A/O conversion on the monitoring data;
the data encryption unit is used for encrypting the converted monitoring data;
the microprocessor is used for controlling the working states of the A/O conversion unit, the data encryption unit and the first wireless communication unit, uploading the monitoring data to the cloud server through the first wireless communication unit, and downloading the management data and the remote monitoring data sent by the cloud server.
The monitoring data is encrypted after A/O conversion, and the keys are respectively stored, so that interference and divulgence are avoided. The data are processed in the microprocessor and then are sent to the cloud server through the first wireless communication unit. The data encryption process mainly comprises data encryption, identity authentication, digital signature and non-repudiation. And setting link encryption and node encryption at the position. And the security of key management is ensured. Data encryption transmission ensures the safety of data transmission and also ensures that monitoring data is real and strict.
Referring to fig. 4, in a further preferred embodiment, the data transmission module further includes a second wireless communication unit, and the second wireless communication unit is connected to the microprocessor;
the second wireless communication unit is used for being connected to an intelligent terminal of a field operator, and the intelligent terminal reads and interacts node data of the detection device through an application program, so that relevant values of the detection device are corrected and debugged.
The second wireless communication unit is used for short-range communication and realizes short-range wireless transmission of data to an application program of a field operator. The field operator can read and interact with the node data, correct and debug the numerical value through the application program. The data of the detection device can be conveniently acquired by an operator, or the detection device can be configured. The second wireless communication unit may be implemented using a bluetooth chip or an NFC device.
Further as a preferred embodiment, the cloud server comprises a processing and analyzing module and a database module, and the processing and analyzing module is respectively connected with the data transmission module and the database module.
Referring to fig. 5, in a further preferred embodiment, the processing and analyzing module includes a data converting unit, a data screening and translating unit, a data decrypting unit, a data visualization and classification unit, and a third wireless communication unit;
the third wireless communication unit is used for receiving the data uploaded by the detection device and sending the management data and the remote monitoring data to the detection device;
the data conversion unit is used for performing conversion processing on the received monitoring data;
the data decryption unit is used for decrypting the monitoring data;
the data screening and translating unit is used for screening and capturing monitoring data according to a preset mode and translating the captured data so as to realize the process of semantic recognition;
the data visualization classification unit is used for presenting data values in various associated data forms or visualization chart forms after processing the monitoring data.
And the processing and analyzing module receives the monitoring data, performs conversion processing through the data conversion unit, performs decryption through the data decryption unit, calls an encryption program according to an encryption principle and process reverse operation, and returns encrypted data. And screening and translating the monitoring data in a data screening and translating unit: by setting an enhanced algorithm, artificial intelligence learning is combined according to different pathogen conditions in multiple channels. The process of mining and semantic recognition is realized by infinitely subdividing current mixed data into characteristic signals or data, showing specific meanings according to certain logic occurrence and arrangement, screening and capturing data and translating. Performing visual classification in a data visual classification unit: through processing the effective data, single data or a plurality of data values are presented in the forms of various associated data, visual charts and the like, so that a manager can conveniently monitor and early warn the urban epidemic situation.
Referring to fig. 6, further as a preferred embodiment, the database module includes a data compression unit, a statistics transfer unit and a report generation unit;
the data compression unit is used for carrying out lossless compression processing on data by a first preset program and removing invalid data and repeated data;
the statistical grouping conversion unit is used for screening the validity of the data, counting repeated data, combining the data of the same type, and converting different types of data to achieve the consistency of data formats to form mode data;
and the report generation unit is used for carrying out centralized summary analysis on the data according to a second preset program and making pathogen distribution statistics.
The data compression unit compresses the data, mainly encodes the data and the data length by a run length encoding method to replace the same continuous data, performs lossless compression processing on the data, removes invalid data and repeated data, reduces the data storage space and utilizes the storage space to the maximum extent. And the statistical group transferring unit is used for performing statistical analysis and group transferring on the data, and mainly discriminates the validity of the data and counts the generated data and the repeated data. Meanwhile, the data of the same type are merged, and the data of different types are grouped, so that the data formats are consistent, and the mode data is formed. The distribution of pathogens is counted and a report is generated in a report generation unit, which is mainly used for automatically generating the report aiming at a uniform data format, carrying out centralized summary analysis on data with variable time and place and making pathogen distribution statistics.
Example two
As shown in fig. 7, an on-line pathogen monitoring method includes the following steps:
s1, after sampling and enriching the air of the field environment by the detection device, detecting and analyzing pathogens to obtain monitoring data, processing the monitoring data and then sending the monitoring data to the cloud server in a wireless mode;
and S2, after receiving the monitoring data sent by each detection device, the cloud server processes the monitoring data according to a preset mode, classifies and stores the monitoring data according to the type of the monitoring data, and automatically generates a monitoring information report, so that the on-line monitoring of pathogens is realized.
According to the method, the detection device is used for detecting the pathogens in the air in real time, the detected data are sent to the cloud server, the cloud server processes and analyzes the detected data, a monitoring information report is automatically generated, the epidemic situation can be found in time, the epidemic source area can be quickly determined, the information of the epidemic situation is not needed to be known after the epidemic situation is exploded, and the epidemic situation is effectively monitored and early warned.
The pathogen online monitoring method can execute the pathogen online monitoring system provided by the system embodiment of the invention, can execute any combination of the system embodiments, and has corresponding functions and beneficial effects of the method.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. The pathogen online monitoring system is characterized by comprising a cloud server and a plurality of movable detection devices which are distributed at different places, wherein the cloud server is respectively connected with the detection devices in a wireless communication mode;
the detection device is used for sampling and enriching air in a field environment, detecting and analyzing pathogens to obtain monitoring data, processing the monitoring data and then sending the monitoring data to the cloud server in a wireless mode;
the cloud server is used for processing the monitoring data according to a preset mode after receiving the monitoring data sent by each detection device, classifying and storing the monitoring data according to the type of the monitoring data, and automatically generating a monitoring information report so as to realize the online monitoring of pathogens;
the cloud server comprises a database module, and the database module comprises a data compression unit, a statistics transfer unit and a report generation unit;
the data compression unit is used for carrying out lossless compression processing on data by a first preset program and removing invalid data and repeated data;
the statistical grouping conversion unit is used for screening the validity of the data, counting repeated data, combining the data of the same type, and converting different types of data to achieve the consistency of data formats to form mode data;
the report generation unit is used for carrying out centralized summary analysis on the data according to a second preset program and making pathogen distribution condition statistics;
each detection device comprises a shell and a circuit board arranged in the shell, wherein the shell is provided with an air inlet, an air outlet and a power interface, the circuit board is provided with a monitoring module, a node module and a data transmission module, the node module is respectively connected with the monitoring module and the data transmission module, and the data transmission module is connected with a cloud server in a wireless communication mode;
the monitoring module is provided with a pathogen sensor, a detection controller, a temperature controller, a humidity controller, a wind speed controller and a gas sensor, and the detection controller is respectively connected with the pathogen sensor, the temperature controller, the humidity controller, the wind speed controller, the gas sensor and the node module;
the pathogen sensor is used for detecting pathogens in the air and obtaining pathogen data;
the temperature controller is used for sensing and controlling the temperature in the detection device;
the humidity controller is used for sensing and controlling the humidity in the shell;
the wind speed controller is used for controlling the wind speed of the sampled air so as to control the flow of the sampled air;
the gas sensor is used for detecting the content of the specified gas so as to obtain external environment data;
the detection controller is used for controlling the working states of the pathogen sensor, the temperature controller, the humidity controller, the wind speed controller and the gas sensor;
the monitoring data comprises pathogen data and external environment data;
the node module comprises a positioning device, a processor, a wind speed compensation controller, a humidity compensation controller and a template block access controller, wherein the processor is respectively connected with the positioning device, the wind speed compensation controller, the humidity compensation controller, the template block access controller, a monitoring module and a data transmission module;
the positioning device is used for acquiring the position information of each detection device;
the wind speed compensation controller is used for compensating the sampled wind speed and flow rate so as to obtain constant flow rate;
the humidity compensation controller is used for compensating the humidity in the shell when the humidity in the shell is lower than a threshold humidity;
the template block in-out controller is used for controlling the working state of the template block in the detection device;
the processor is used for controlling the working states of the positioning device, the wind speed compensation controller, the humidity compensation controller and the template block access controller, preliminarily screening the monitoring data, and acquiring and correcting wrong monitoring data.
2. The pathogen online monitoring system according to claim 1, wherein the data transmission module comprises an a/O conversion unit, a data encryption unit, a microprocessor and a first wireless communication unit, and the microprocessor is connected with the a/O conversion unit, the data encryption unit and the first wireless communication unit respectively;
the A/O conversion unit is used for carrying out A/O conversion on the monitoring data;
the data encryption unit is used for encrypting the converted monitoring data;
the microprocessor is used for controlling the working states of the A/O conversion unit, the data encryption unit and the first wireless communication unit, uploading the monitoring data to the cloud server through the first wireless communication unit, and downloading the management data and the remote monitoring data sent by the cloud server.
3. The pathogen on-line monitoring system of claim 2, wherein the data transmission module further comprises a second wireless communication unit, the second wireless communication unit is connected with the microprocessor;
the second wireless communication unit is used for being connected to an intelligent terminal of a field operator, and the intelligent terminal reads and interacts node data of the detection device through an application program, so that relevant values of the detection device are corrected and debugged.
4. The pathogen online monitoring system of claim 3, wherein the cloud server further comprises a processing and analyzing module, and the processing and analyzing module is respectively connected with the data transmission module and the database module.
5. The pathogen online monitoring system according to claim 4, wherein the processing and analyzing module comprises a data conversion unit, a data screening and translating unit, a data decryption unit, a data visualization and classification unit and a third wireless communication unit;
the third wireless communication unit is used for receiving the data uploaded by the detection device and sending the management data and the remote monitoring data to the detection device;
the data conversion unit is used for performing conversion processing on the received monitoring data;
the data decryption unit is used for decrypting the monitoring data;
the data screening and translating unit is used for screening and capturing monitoring data according to a preset mode and translating the captured data so as to realize the process of semantic recognition;
the data visualization classification unit is used for presenting data values in various associated data forms or visualization chart forms after processing the monitoring data.
6. An on-line pathogen monitoring method applied to an on-line pathogen monitoring system according to any one of claims 1 to 5, comprising the following steps:
the detection device samples and enriches the air in the field environment, detects and analyzes pathogens to obtain monitoring data, processes the monitoring data and sends the processed monitoring data to the cloud server in a wireless mode;
and after receiving the monitoring data sent by each detection device, the cloud server processes the monitoring data according to a preset mode, classifies and stores the monitoring data according to the type of the monitoring data, and automatically generates a monitoring information report, so that the on-line monitoring of pathogens is realized.
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