Equipment and method for monitoring air environment pollution of factory harmed by occupational diseases

Abstract

The invention discloses equipment and a method for monitoring air environment pollution of factories damaged by occupational diseases, belongs to the technical field of air environment monitoring, and solves the problems that the toxicity of composite pollutants formed by quenching oil mist and metal dust in heat treatment and fine grinding workshops of bearing manufacturers is multiplied, sampling distortion is caused by oil mist interference detection and workshop pollutant retention areas, and the detection accuracy is low. And finally, the detection report reaches the standard falsely. Comprising a sensor array module and a data processing module, and the sensor array module comprises a quartz crystal microbalance array module, a multi-wavelength optical sensor array module, a broadband impedance sensor array module and a surface acoustic wave sensor array module. According to the invention, through synchronous acquisition of multi-modal sensor data, real-time analysis and processing, quantification of pollutant carrier effect, fusion of multi-source information, accurate identification of pollutant components, assessment of health risk level and automatic generation of early warning signals, comprehensive and accurate monitoring and risk early warning of composite pollutants in a factory environment are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air environment monitoring, and in particular to a factory air environment pollution monitoring device and method for occupational hazards. BACKGROUND

[0002] Factory occupational hazard air pollution detection needs to be detected regularly according to the degree of harm. First, investigate the production process to determine the sampling point, collect dust, chemical hazards and other pollutants by fixed-point / individual sampling or online monitoring, send them to the laboratory for analysis by chromatography, calculate the concentration and compare it with the occupational exposure limit. After issuing the report, it is used for job classification, selection of protective equipment, and when the standard is exceeded, improvement suggestions are made to protect the health of workers, and the core follows the GBZ series standards.

[0003] In the heat treatment and fine grinding workshop of a bearing manufacturing plant, the quenching oil mist, grinding metal dust and welding dust coexist in the workshop, and under the action of strong heat pressure, complex mixed pollutants are formed, among which the oil mist as a carrier adsorbs toxic metal particles to form "composite particles" that can easily penetrate into the alveoli, greatly enhancing the toxicity. However, oil mist can block the sampling filter membrane, causing the dust concentration measurement value to be distorted, and the oily matrix can also interfere with the accurate detection of heavy metals in the laboratory analysis. At the same time, the "pollutant retention area" formed by the high space of the workshop makes it impossible for fixed-point sampling to represent the true exposure level of the worker's breathing zone.

[0004] The direct consequence of these problems is the generation of a seemingly "compliant" but completely distorted detection report, which not only hides the truth of workers' long-term exposure to highly toxic composite pollutants, leading to irreversible health damage such as mixed pneumoconiosis, but also causes enterprises to miss the critical opportunity to take effective protective measures due to the inability to identify the true risk, ultimately forming a management blind spot and occupational health tragedy of "data compliance, worker harm".

[0005] Therefore, a factory air environment pollution monitoring device and method for occupational hazards are proposed to solve or alleviate the above problems. SUMMARY

[0006] The purpose of the present application is to solve the problems existing in the prior art and propose a factory air environment pollution monitoring device and method for occupational hazards.

[0007] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions: The utility model provides a kind of factory air environment pollution monitoring equipment of occupational hazards, including sensor array module, data processing module, the sensor array module includes quartz crystal microbalance array module, multi-wavelength optical sensor array module, wideband impedance sensor array module, surface acoustic wave sensor array module, thermal conductivity detector array module and electrochemical sensor array module, the analog signal output end of the sensor array module is connected to the digital signal input end of data processing module, the control signal output end of the data processing module is connected to the control signal input end of sensor array module, the whole process analysis of the data processing module is extracted in turn feature, carrier effect quantization, multi-source information fusion, pollutant identification and classification, health risk assessment, adaptive calibration optimization and trend prediction warning, finally output composite pollutant's identification result and health risk grade.

[0008] Preferably, the quartz crystal microbalance array module includes T-cut quartz crystal, J310 type junction field effect transistor, 74VHC04 type inverter, ADG1434 type radio frequency switch, ADE1 type mixer, first AD8302 type phase detector, first ADS1278 type analog-to-digital converter, the first end of the T-cut quartz crystal is connected to the gate of J310 type junction field effect transistor, the second end of the T-cut quartz crystal is grounded, the source of the J310 type junction field effect transistor is grounded through the first resistor, the drain of the J310 type junction field effect transistor is connected to the input pin of the 74VHC04 type inverter, the output pin of the 74VHC04 type inverter is fed back to its input pin through the first capacitor, the positive power supply end of the 74VHC04 type inverter is connected to the power supply, the ground end of the 74VHC04 type inverter is grounded, the first radio frequency input / output end of the ADG1434 type radio frequency switch is connected to the output pin of the 74VHC04 type inverter, the second radio frequency input / output end of the ADG1434 type radio frequency switch is connected to the local oscillator input end of the ADE1 type mixer, the first control end of the ADG1434 type radio frequency switch is connected to the first general input / output end of the microcontroller unit in the data processing module, the second control end of the ADG1434 type radio frequency switch is connected to the second general input / output end of the microcontroller unit in the data processing module, the intermediate frequency output end of the ADE1 type mixer is connected to the phase input end of the first AD8302 type phase detector, its positive power supply end is connected to the power supply, and its ground end is grounded, the output end of the first AD8302 type phase detector is connected to the field programmable gate array real-time processing unit in the data processing module through the first ADS1278 type analog-to-digital converter.

[0009] Preferably, the multi-wavelength optical sensor array module comprises a UV LED, a blue LED, a red LED, an infrared LED, an LM317 type constant current driver, a silicon photodiode, an OPA656 type trans-impedance amplifier, a PGA112 type programmable gain amplifier, an LTC1562 type anti-aliasing filter, a first ADS8688 type analog-to-digital converter, an avalanche photodiode, a high-speed amplifier CVA400, a TDCGP30 type time-to-digital converter, an anode of the UV LED is connected to an output terminal of the LM317 type constant current driver through a second resistor, a cathode of the UV LED is grounded, an adjusting terminal of the LM317 type constant current driver is grounded through a third resistor, an input terminal of the LM317 type constant current driver is connected to a power supply, a cathode of the silicon photodiode is connected to an inverting input terminal of the OPA656 type trans-impedance amplifier, an anode of the silicon photodiode is connected to a power supply, a non-inverting input terminal of the OPA656 type trans-impedance amplifier is grounded, an output terminal of the OPA656 type trans-impedance amplifier is connected to an inverting input terminal of the OPA656 type trans-impedance amplifier through a fourth resistor, a power supply terminal of the OPA656 type trans-impedance amplifier is connected to a power supply, the output terminal of the OPA656 type trans-impedance amplifier is connected to an input terminal of the PGA112 type programmable gain amplifier, a gain control terminal of the input terminal of the PGA112 type programmable gain amplifier is connected to a microcontroller unit in a data processing module, an output terminal of the PGA112 type programmable gain amplifier is connected to an input terminal of the LTC1562 type anti-aliasing filter, an output terminal of the LTC1562 type anti-aliasing filter is connected to the first ADS8688 type analog-to-digital converter, an output terminal of the first ADS8688 type analog-to-digital converter is connected to a field programmable gate array real-time processing unit in the data processing module, a cathode of the avalanche photodiode is connected to a power supply, an anode of the avalanche photodiode is connected to an input terminal of the CVA400 type high-speed amplifier, an output terminal of the CVA400 type high-speed amplifier is connected to a high-speed channel input terminal of the TDCGP30 type time-to-digital converter, a clock input terminal of the TDCGP30 type time-to-digital converter is connected to a 25MHZ crystal oscillator, a data bit output terminal of the TDCGP30 type time-to-digital converter is connected to a data bus of the field programmable gate array real-time processing unit in the data processing module.

[0010] Preferably, the wideband impedance sensor array module comprises an interdigital electrode array, an AD9958 type direct digital synthesizer, an OPA564 type power amplifier, a first IVC102 type current-voltage converter, a second ADS1278 type analog-to-digital converter, an output terminal of the AD9958 type direct digital synthesizer is connected to a working electrode of the interdigital electrode array, a complementary output terminal of the AD9958 type direct digital synthesizer is grounded through a fifth resistor, a serial clock terminal, a serial data input / output terminal and a chip selection terminal of the AD9958 type direct digital synthesizer are respectively connected to a serial peripheral interface clock terminal, a serial peripheral interface data terminal and a serial peripheral interface chip select terminal of a microcontroller unit in the data processing module, a non-inverting input terminal of the OPA564 type power amplifier is connected to an output terminal of the AD9958 type direct digital synthesizer, an inverting input terminal of the OPA564 type power amplifier is grounded through a sixth resistor, an output terminal of the OPA564 type power amplifier is connected to a counter electrode of the interdigital electrode array, a power supply terminal of the OPA564 type power amplifier is connected to electricity, an inverting input terminal of the first IVC102 type current-voltage converter is connected to the counter electrode of the interdigital electrode array, a non-inverting input terminal of the first IVC102 type current-voltage converter is grounded, an output terminal of the first IVC102 type current-voltage converter is connected to an analog input terminal of the second ADS1278 type analog-to-digital converter, a first capacitor terminal and a second capacitor terminal of the first IVC102 type current-voltage converter are connected with a first integration capacitor, the analog input terminal of the second ADS1278 type analog-to-digital converter is connected to the output terminal of the first IVC102 type current-voltage converter, respectively, a data output terminal, a data clock terminal and a data ready terminal of the second ADS1278 type analog-to-digital converter are respectively connected to a serial data input terminal, a serial clock terminal and a control terminal of a field programmable gate array real-time processing unit in the data processing module.

[0011] Preferably, the surface acoustic wave sensor array module comprises a surface acoustic wave device, an ADF4351 type radio frequency synthesizer, a SKY65111 type power amplifier, an HMC773 type mixer, a second AD8302 type phase detector, a second ADS8688 type analog-to-digital converter, a radio frequency output end of the ADF4351 type radio frequency synthesizer is connected to a radio frequency input end of the SKY65111 type power amplifier, a chip enable end, a clock end and a data end of the ADF4351 type radio frequency synthesizer are respectively connected to a first serial peripheral interface enable end, a serial peripheral interface clock end and a serial peripheral interface data end of a microcontroller unit in the data processing module, a radio frequency output end of the SKY65111 type power amplifier is connected to an input end of the surface acoustic wave device through a directional coupler, a positive power supply end thereof is connected to electricity, a radio frequency input end of the HMC773 type mixer is connected to an output end of the surface acoustic wave device, a local oscillator input end of the HMC773 type mixer is connected to a radio frequency output end of the ADF4351 type radio frequency synthesizer, an intermediate frequency output end of the HMC773 type mixer is connected to a phase input end of the second AD8302 type phase detector, a voltage output end of the second AD8302 type phase detector is connected to an analog input end of the second ADS8688 type analog-to-digital converter, a positive power supply end thereof is connected to electricity and a grounding end thereof is grounded, an analog input end of the second ADS8688 type analog-to-digital converter is connected to a voltage output end of the second AD8302 type phase detector, a serial data output end, a serial clock end and a chip selection end of the second ADS8688 type analog-to-digital converter are respectively connected to a serial data input end, a serial clock end and a chip selection end of a field programmable gate array real-time processing unit in the data processing module.

[0012] Preferably, the thermal conductivity detector array module comprises a platinum heater, a PT1000 temperature sensor, an IRF7413 type field effect transistor, an ADN8830 type proportional integral derivative controller, a MAX31865 type resistance temperature detector reader, a Wheatstone bridge, an INA128 type instrument amplifier, a third ADS8688 type analog-to-digital converter, a first end of the platinum heater is connected to a drain of the IRF7413 type field effect transistor, a second end of the platinum heater is grounded, a gate of the IRF7413 type field effect transistor is connected to a driving high end of the ADN8830 type proportional integral derivative controller, a source of the IRF7413 type field effect transistor is grounded, a positive input end of the ADN8830 type proportional integral derivative controller is connected to an output end of the third ADS8688 type analog-to-digital converter, a negative input end of the ADN8830 type proportional integral derivative controller is connected to a data output end of the MAX31865 type resistance temperature detector reader, a positive power supply end of the MAX31865 type resistance temperature detector reader is connected to electricity, a resistance temperature detector positive end and a resistance temperature detector negative end of the MAX31865 type resistance temperature detector reader are connected to an output end of the PT1000 type temperature sensor, a chip selection end, a serial peripheral interface clock end, a master out slave in end, a master in slave out end of the MAX31865 type resistance temperature detector reader are respectively connected to a chip selection end, a serial peripheral interface clock end, a serial peripheral interface data output end, a serial peripheral interface data input end of a microcontroller unit in the data processing module, a first end of the Wheatstone bridge is connected to electricity, a second end of the Wheatstone bridge is connected to a negative input end of the INA128 type instrument amplifier, a third end of the Wheatstone bridge is connected to a positive input end of the INA128 type instrument amplifier, a fourth end of the Wheatstone bridge is grounded, an output end of the INA128 type instrument amplifier is connected to an analog input end of the third ADS8688 type analog-to-digital converter, a power supply end of the third ADS8688 type analog-to-digital converter is connected to electricity, and an output end of the third ADS8688 type analog-to-digital converter is connected to a field programmable gate array real-time processing unit in the data processing module.

[0013] Preferably, the electrochemical sensor array module comprises a working electrode, a counter electrode, a reference electrode, an OPA445 type constant potential instrument operational amplifier, a second IVC102 type current-voltage converter, a DAC8568 type digital-to-analog converter, a fourth ADS8688 type analog-to-digital converter, an ADuM1412 type digital isolator, the inverting input end of the OPA445 type constant potential instrument operational amplifier is connected to the working electrode, the non-inverting input end of the OPA445 type constant potential instrument operational amplifier is connected to the output end of the DAC8568 type digital-to-analog converter, the output end of the OPA445 type constant potential instrument operational amplifier is connected to the counter electrode, the power supply end of the OPA445 type constant potential instrument operational amplifier is connected to electricity, the output end of the DAC8568 type digital-to-analog converter is connected to the non-inverting input end of the OPA445 type constant potential instrument operational amplifier, the synchronous end, the serial data input end and the serial clock end thereof are connected to the serial peripheral interface synchronous end, the serial peripheral interface data output end and the serial peripheral interface clock end of the microcontroller unit in the data processing module respectively, the inverting input end of the second IVC102 type current-voltage converter is connected to the counter electrode, the output end of the second IVC102 type current-voltage converter is connected to the analog input end of the fourth ADS8688 type analog-to-digital converter, the first capacitor end and the second capacitor end of the second IVC102 type current-voltage converter are connected with the second integration capacitor, the analog input end of the fourth ADS8688 type analog-to-digital converter is connected to the output end of the second IVC102 type current-voltage converter, the serial data output end, the serial clock end and the chip selection end thereof are connected to the input data end, the clock input end and the chip selection input end of the ADuM1412 type digital isolator, and the output data end of the ADuM1412 type digital isolator is connected to the data input end of the field programmable gate array real-time processing unit in the data processing module.

[0014] Preferably, the data processing module comprises a field programmable gate array real-time processing unit, a microcontroller unit, a DDR3 memory and a SI5338A type clock generator, the microcontroller unit is an STM32H753 microcontroller, the data bus pin of the field programmable gate array real-time processing unit is connected to the data bus of the DDR3 memory, the clock output end of the SI5338A type clock generator is connected to the global clock pin of the field programmable gate array real-time processing unit and the clock pin of the DDR3 memory respectively, the configuration interface of the SI5338A type clock generator is connected to the integrated circuit bus of the microcontroller unit, and the LAN8720 type Ethernet physical layer chip is connected to the Ethernet media independent interface of the microcontroller unit.

[0015] The application further provides a factory air environment pollution monitoring method for occupational hazards. synchronously collecting multi-modal sensor data through a sensor array module; extracting multi-dimensional features of the complex pollutants from the data by the data processing module, the multi-dimensional features including mass loading features, optical scattering features, impedance spectrum features, sound wave propagation features, thermal conductivity features and electrochemical features; quantifying the enhancement effect of the oil mist carrier effect on the metal dust toxicity, calculating the carrier efficiency and the toxicity enhancement coefficient; integrating the feature information of each sensor through a multi-sensor data fusion algorithm to realize feature-level fusion and decision-level fusion; performing pollutant type identification and concentration quantitative analysis based on the fused features; evaluating the health risk level of the complex pollutants, and calculating the exposure dose and the risk level; optimizing the system performance through an adaptive calibration algorithm, and performing trend prediction and risk warning.

[0016] The present application has the following beneficial effects: The present application realizes comprehensive and accurate monitoring and risk warning of complex pollutants in a factory environment by synchronously collecting multi-modal sensor data, real-time analysis and processing, quantifying the carrier effect of pollutants, fusing multi-source information, accurately identifying pollutant components, evaluating the health risk level and automatically generating warning signals. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments, and it should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0018] Figure 1 is a structural block diagram of the present application; Figure 2 is a flowchart of the present application.

[0019] 1, quartz crystal microbalance array module; 2, multi-wavelength optical sensor array module; 3, wideband impedance sensor array module; 4, surface acoustic wave sensor array module; 5, thermal conductivity detector array module; 6, electrochemical sensor array module; 7, data processing module. DETAILED DESCRIPTION

[0020] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some but not all of the embodiments of the present application. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but only represents selected embodiments of the application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present application.

[0022] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0023] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship commonly understood by those skilled in the art, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0024] In addition, the terms "first", "second", "third" and the like are only used to distinguish description, and cannot be understood as indicating or implying relative importance.

[0025] In the description of the present application, it should also be noted that, unless otherwise explicitly specified and limited, the terms "arrangement", "installation", "connection", "connection" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, or it can be the communication inside two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0026] A factory air environment pollution monitoring device for occupational hazards, such as Figure 1As shown, it comprises a sensor array module, a data processing module 7, the sensor array module comprises a quartz crystal microbalance array module 1, a multi-wavelength optical sensor array module 2, a wideband impedance sensor array module 3, a surface acoustic wave sensor array module 4, a thermal conductivity detector array module 5 and an electrochemical sensor array module 6, the analog signal output end of the sensor array module is connected to the digital signal input end of the data processing module 7, the control signal output end of the data processing module 7 is connected to the control signal input end of the sensor array module, the data processing module 7 sequentially carries out feature extraction, carrier effect quantization, multi-source information fusion, pollutant identification and classification, health risk assessment, adaptive calibration optimization and trend prediction and early warning of the whole process analysis, and finally outputs the identification result and health risk grade of the complex pollutant.

[0027] The quartz crystal microbalance array module 1 comprises a T-cut quartz crystal, a J310 junction field effect transistor, a 74VHC04 inverter, an ADG1434 radio frequency switch, an ADE1 mixer, a first AD8302 phase detector and a first ADS1278 analog-to-digital converter, the first end of the T-cut quartz crystal is connected to the gate of the J310 junction field effect transistor, the second end of the T-cut quartz crystal is grounded, the source of the J310 junction field effect transistor is grounded through a first resistor, the drain of the J310 junction field effect transistor is connected to the input pin of the 74VHC04 inverter, the output pin of the 74VHC04 inverter is fed back to its input pin through a first capacitor, the positive power supply end of the 74VHC04 inverter is connected to electricity, the ground end of the 74VHC04 inverter is grounded, the first radio frequency input / output end of the ADG1434 radio frequency switch is connected to the output pin of the 74VHC04 inverter, the second radio frequency input / output end of the ADG1434 radio frequency switch is connected to the local oscillator input end of the ADE1 mixer, the first control end of the ADG1434 radio frequency switch is connected to the first general input / output end of the microcontroller unit in the data processing module 7, the second control end of the ADG1434 radio frequency switch is connected to the second general input / output end of the microcontroller unit in the data processing module 7, the intermediate frequency output end of the ADE1 mixer is connected to the phase input end of the first AD8302 phase detector, the positive power supply end thereof is connected to electricity, the ground end thereof is grounded, and the output end of the first AD8302 phase detector is connected to the field programmable gate array real-time processing unit in the data processing module 7 through the first ADS1278 analog-to-digital converter.

[0028] The multi-wavelength optical sensor array module 2 includes a UV LED, a blue LED, a red LED, an infrared LED, an LM317 type constant current driver, a silicon photodiode, an OPA656 type trans-impedance amplifier, a PGA112 type programmable gain amplifier, an LTC1562 type anti-aliasing filter, a first ADS8688 type analog-to-digital converter, an avalanche photodiode, a high-speed amplifier CVA400, a TDCGP30 type time-to-digital converter, the anode of the UV LED, the blue LED, the red LED, and the infrared LED are connected to the output terminal of the LM317 type constant current driver through a second resistor, and the cathode is grounded, the adjustment terminal of the LM317 type constant current driver is grounded through a third resistor, and the input terminal of the LM317 type constant current driver is connected to the power supply, the cathode of the silicon photodiode is connected to the inverting input terminal of the OPA656 type trans-impedance amplifier, the anode of the silicon photodiode is connected to the power supply, the non-inverting input terminal of the OPA656 type trans-impedance amplifier is grounded, the output terminal of the OPA656 type trans-impedance amplifier is connected to the inverting input terminal through a fourth resistor, the power supply terminal of the OPA656 type trans-impedance amplifier is connected to the power supply, the output terminal of the OPA656 type trans-impedance amplifier is connected to the input terminal of the PGA112 type programmable gain amplifier, the gain control terminal of the input terminal of the PGA112 type programmable gain amplifier is connected to the microcontroller unit in the data processing module 7, the output terminal of the PGA112 type programmable gain amplifier is connected to the input terminal of the LTC1562 type anti-aliasing filter, the output terminal of the LTC1562 type anti-aliasing filter is connected to the first ADS8688 type analog-to-digital converter, the output terminal of the first ADS8688 type analog-to-digital converter is connected to the field programmable gate array real-time processing unit in the data processing module 7, the cathode of the avalanche photodiode is connected to the power supply, the anode of the avalanche photodiode is connected to the input terminal of the CVA400 type high-speed amplifier, the output terminal of the CVA400 type high-speed amplifier is connected to the high-speed channel input terminal of the TDCGP30 type time-to-digital converter, the clock input terminal of the TDCGP30 type time-to-digital converter is connected to a 25MHZ crystal oscillator, and the data bus of the field programmable gate array real-time processing unit in the data processing module 7 is connected to the data bus of the TDCGP30 type time-to-digital converter.

[0029] The broadband impedance sensor array module 3 comprises an interdigital electrode array, an AD9958 type direct digital synthesizer, an OPA564 type power amplifier, a first IVC102 type current-voltage converter, a second ADS1278 type analog-to-digital converter, an output terminal of the AD9958 type direct digital synthesizer is connected to a working electrode of the interdigital electrode array, a complementary output terminal of the AD9958 type direct digital synthesizer is connected to ground through a fifth resistor, a serial clock terminal, a serial data input / output terminal and a chip selection terminal of the AD9958 type direct digital synthesizer are respectively connected to a serial peripheral interface clock terminal, a serial peripheral interface data terminal and a serial peripheral interface chip selection terminal of a microcontroller unit in the data processing module 7, a non-inverting input terminal of the OPA564 type power amplifier is connected to the output terminal of the AD9958 type direct digital synthesizer, an inverting input terminal of the OPA564 type power amplifier is connected to ground through a sixth resistor, an output terminal of the OPA564 type power amplifier is connected to a counter electrode of the interdigital electrode array, a power supply terminal of the OPA564 type power amplifier is connected to electricity, an inverting input terminal of the first IVC102 type current-voltage converter is connected to the counter electrode of the interdigital electrode array, a non-inverting input terminal of the first IVC102 type current-voltage converter is connected to ground, an output terminal of the first IVC102 type current-voltage converter is connected to an analog input terminal of the second ADS1278 type analog-to-digital converter, a first capacitor terminal and a second capacitor terminal of the first IVC102 type current-voltage converter are connected to a first integration capacitor, the analog input terminal of the second ADS1278 type analog-to-digital converter is connected to the output terminal of the first IVC102 type current-voltage converter, a data output terminal, a data clock terminal and a data ready terminal of the second ADS1278 type analog-to-digital converter are respectively connected to a serial data input terminal, a serial clock terminal and a control terminal of a field programmable gate array real-time processing unit in the data processing module 7.

[0030] The surface acoustic wave sensor array module 4 comprises a surface acoustic wave device, an ADF4351 type radio frequency synthesizer, a SKY65111 type power amplifier, an HMC773 type mixer, a second AD8302 type phase detector, a second ADS8688 type analog-to-digital converter, a radio frequency output end of the ADF4351 type radio frequency synthesizer is connected to a radio frequency input end of the SKY65111 type power amplifier, a chip enable end, a clock end and a data end of the ADF4351 type radio frequency synthesizer are respectively connected to a first serial peripheral interface enable end, a serial peripheral interface clock end and a serial peripheral interface data end of a microcontroller unit in the data processing module 7, a radio frequency output end of the SKY65111 type power amplifier is connected to an input end of the surface acoustic wave device through a directional coupler, a positive power supply end thereof is connected to electricity, a radio frequency input end of the HMC773 type mixer is connected to an output end of the surface acoustic wave device, a local oscillator input end of the HMC773 type mixer is connected to a radio frequency output end of the ADF4351 type radio frequency synthesizer, an intermediate frequency output end of the HMC773 type mixer is connected to a phase input end of the second AD8302 type phase detector, a voltage output end of the second AD8302 type phase detector is connected to an analog input end of the second ADS8688 type analog-to-digital converter, a positive power supply end thereof is connected to electricity, and a ground end thereof is grounded, an analog input end of the second ADS8688 type analog-to-digital converter is connected to a voltage output end of the second AD8302 type phase detector, a serial data output end, a serial clock end and a chip selection end of the second ADS8688 type analog-to-digital converter are respectively connected to a serial data input end, a serial clock end and a chip selection end of a field programmable gate array real-time processing unit in the data processing module 7.

[0031] The thermal conductivity detector array module 5 comprises a platinum heater, a PT1000 temperature sensor, an IRF7413 type field effect transistor, an ADN8830 type proportional integral derivative controller, a MAX31865 type resistance temperature detector reader, a Wheatstone bridge, an INA128 type instrument amplifier, a third ADS8688 type analog-to-digital converter, a first end of the platinum heater is connected to a drain of the IRF7413 type field effect transistor, a second end of the platinum heater is grounded, a gate of the IRF7413 type field effect transistor is connected to a driving high end of the ADN8830 type proportional integral derivative controller, a source of the IRF7413 type field effect transistor is grounded, a positive input end of the ADN8830 type proportional integral derivative controller is connected to an output end of the third ADS8688 type analog-to-digital converter, a negative input end of the ADN8830 type proportional integral derivative controller is connected to a data output end of the MAX31865 type resistance temperature detector reader, a positive power supply end of the MAX31865 type resistance temperature detector reader is connected to electricity, a resistance temperature detector positive end and a resistance temperature detector negative end of the MAX31865 type resistance temperature detector reader are connected to an output end of the PT1000 type temperature sensor, a chip selection end, a serial clock end, a master out slave in end, a master in slave out end of the MAX31865 type resistance temperature detector reader are respectively connected to a chip selection end, a serial peripheral interface clock end, a serial peripheral interface data output end, a serial peripheral interface data input end of a microcontroller unit in the data processing module 7, a first end of the Wheatstone bridge is connected to electricity, a second end of the Wheatstone bridge is connected to a negative input end of the INA128 type instrument amplifier, a third end of the Wheatstone bridge is connected to a positive input end of the INA128 type instrument amplifier, a fourth end of the Wheatstone bridge is grounded, an output end of the INA128 type instrument amplifier is connected to an analog input end of the third ADS8688 type analog-to-digital converter, a power supply end of the INA128 type instrument amplifier is connected to electricity, an output end of the third ADS8688 type analog-to-digital converter is connected to a field programmable gate array real-time processing unit in the data processing module 7.

[0032] The electrochemical sensor array module 6 includes a working electrode, a counter electrode, a reference electrode, an OPA445 potentiostat operational amplifier, a second IVC102 current-to-voltage converter, a DAC8568 digital-to-analog converter, a fourth ADS8688 analog-to-digital converter, and an ADuM1412 digital isolator. The inverting input of the OPA445 potentiostat operational amplifier is connected to the working electrode, the non-inverting input is connected to the output of the DAC8568, the output is connected to the counter electrode, the power supply is connected to the OPA445, and the output of the DAC8568 isolator is connected to the non-inverting input. Its synchronization terminal, serial data input terminal, and serial clock terminal are respectively connected to the microcontroller in the data processing module 7. The serial peripheral interface synchronization terminal, serial peripheral interface data output terminal, and serial peripheral interface clock terminal of the controller unit are connected to the counter electrode. The inverting input terminal of the second IVC102 current-to-voltage converter is connected to the analog input terminal of the fourth ADS8688 analog-to-digital converter. A second integrating capacitor is connected between the first and second capacitor terminals of the second IVC102 current-to-voltage converter. The analog input terminal of the fourth ADS8688 analog-to-digital converter is connected to the output terminal of the second IVC102 current-to-voltage converter. Its serial data output terminal, serial clock terminal, and chip select terminal are respectively connected to the input data terminal, clock input terminal, and chip select input terminal of the ADuM1412 digital isolator. The output data terminal of the ADuM1412 digital isolator is connected to the data input terminal of the field-programmable gate array real-time processing unit in the data processing module 7.

[0033] Data processing module 7 includes a field-programmable gate array (FPGA) real-time processing unit, a microcontroller unit, DDR3 memory, and an SI5338A clock generator. The microcontroller unit is an STM32H753 microcontroller. The data bus pins of the FPGA real-time processing unit are connected to the data bus of the DDR3 memory. The clock output of the SI5338A clock generator is connected to the global clock pin of the FPGA real-time processing unit and the clock pin of the DDR3 memory, respectively. The configuration interface of the SI5338A clock generator is connected to the integrated circuit bus of the microcontroller unit. The Ethernet media independent interface of the microcontroller unit is connected to a LAN8720 Ethernet physical layer chip.

[0034] This invention also provides a method for monitoring factory air pollution related to occupational hazards, such as... Figure 2 As shown, monitoring of factory air pollution using the above-mentioned occupational hazard monitoring equipment includes the following steps: The multi-modal sensing data is synchronously collected by the sensor array modules, more specifically, the mass loading data is collected by the quartz crystal microbalance array module 1, the frequency shift and impedance change are measured, the multi-angle scattering data and absorption spectrum data are collected by the multi-wavelength optical sensor array module 2, the impedance amplitude and phase data are collected at multiple frequency points by the wideband impedance sensor array module 3, the sound wave propagation velocity and attenuation data are collected by the surface acoustic wave sensor array module 4, the gas thermal conductivity change data are collected by the thermal conductivity detector array module 5, and the current-voltage characteristic data are collected by the electrochemical sensor array module 6, all the sensor data are synchronized by using a unified time stamp, and a sampling trigger signal is sent to each sensor array module by the data processing module 7 at the same time; The collected sensing data is pre-processed and quality controlled by the data processing module 7, including signal denoising processing, sensor drift compensation and signal quality evaluation, more specifically, the wavelet threshold denoising algorithm is used to eliminate noise from the original sensing data, which specifically includes multi-scale wavelet decomposition of the signal, soft threshold processing of the wavelet coefficients, and reconstruction of the denoised signal by inverse wavelet transform, the adaptive Kalman filter algorithm is used to filter the time-varying signal, including state prediction step, covariance prediction step, Kalman gain calculation step, state update step and covariance update step, the baseline drift correction algorithm is used to eliminate the influence of long-term drift of the sensor, the baseline drift is estimated by the exponential weighted moving average method and is subtracted from the original signal, the temperature compensation model is used to correct the influence of environmental temperature on the sensor reading, the pre-calibrated temperature coefficient is used for real-time compensation, the pre-processed data is evaluated for quality, and the signal-to-noise ratio and data integrity index are calculated; The multi-dimensional features of the complex pollutants are extracted from the data by the data processing module 7, including mass loading features, optical scattering features, impedance spectrum features, sound wave propagation features, thermal conductivity features and electrochemical features, more specifically, the mass loading features are calculated from the quartz crystal microbalance data based on the Sauerbrey equation, wherein the mass loading change is proportional to the frequency shift and inversely proportional to the harmonic number, the viscoelasticity correction features are calculated based on the Kanazawa-Gordon equation, wherein the frequency shift is proportional to the square root of the liquid density and viscosity and inversely proportional to the square root of the crystal density and shear modulus, the particle size distribution features are inverted from the optical sensor data based on the Mie scattering theory, wherein the scattering intensity is proportional to the integral of the particle number concentration and the Mie scattering intensity function, the relaxation time features are extracted from the impedance spectrum data based on the Cole-Cole model, wherein the impedance value is related to the low-frequency resistance value, the high-frequency resistance value, the angular frequency, the relaxation time and the distribution parameter, and the interface polarization features are extracted based on the relaxation time distribution analysis; Quantifying the enhancement of metal dust toxicity by oil mist carrier effect, calculating carrier efficiency and toxicity enhancement factor, more specifically, calculating oil mist carrier efficiency defined as the ratio of metal concentration on carrier particles to total metal concentration, calculating alveolar deposition enhancement factor defined as the ratio of deposition fraction of composite particles in alveolar region to that of pure metal particles, calculating bioavailability correction factor defined as the ratio of dissolution rate constant of composite particles to that of pure metal particles, calculating composite toxicity index defined as the sum of product of each pollutant concentration and toxicity factor multiplied by a plus synergy factor minus the product of carrier efficiency and bioavailability correction factor; Integrating feature information of each sensor by multi-sensor data fusion algorithm to realize feature-level fusion and decision-level fusion, more specifically, reducing dimension of multi-sensor features by principal component analysis algorithm to project original features into new space defined by feature vector matrix, separating independent components in mixed signals by independent component analysis algorithm, solving mixed matrix and source signals by maximizing non-Gaussianity, performing uncertainty reasoning by Dempster-Shafer evidence theory, wherein combination quality function is equal to the sum of product of all hypothesis quality functions with non-empty intersection divided by one minus conflict coefficient, processing imprecise information by fuzzy logic reasoning system to output membership function equal to the minimum value of membership of all rule antecedents and the maximum value of membership of rule consequents; Performing pollutant type identification and concentration quantitative analysis based on fused features, more specifically, performing pollutant type classification by support vector machine algorithm, classification function is equal to the sign function of linear combination of support vectors and kernel function product plus bias term, performing multi-class classification by random forest algorithm, class probability is equal to the average value of class probability of all decision trees, performing concentration quantification by multiple linear regression model, concentration value is equal to the sum of product of each feature and corresponding regression coefficient plus constant term and error term, processing multicollinearity problem by partial least squares regression model to decompose independent variables and dependent variables into latent variables and loading matrix product plus residual matrix, and establishing relationship by maximizing latent variable covariance; Evaluating health risk level of composite pollutants, calculating exposure dose and risk level, more specifically, calculating time-weighted average exposure concentration equal to the sum of product of concentration in each time period and corresponding time divided by total time, calculating respiratory inhalation exposure equal to the product of time-weighted average concentration, respiratory rate, exposure time and inhalable proportion, calculating hazard quotient equal to the ratio of inhalation exposure and reference dose; A composite risk index is calculated, equal to the sum of the product of each pollutant hazard quotient and the corresponding synergy factor, risk levels are divided based on the risk index, a red early warning is triggered when the risk index is greater than or equal to a critical risk threshold, an orange early warning is triggered when the risk index is greater than or equal to a high risk threshold and less than the critical risk threshold, a yellow early warning is triggered when the risk index is greater than or equal to a medium risk threshold and less than the high risk threshold, and a green normal state is when the risk index is less than the medium risk threshold; The system performance is optimized by an adaptive calibration algorithm, and trend prediction and risk warning are performed, more specifically, online parameter calibration is performed by a recursive least squares algorithm, including a Kalman gain calculation step, a parameter estimation update step and a covariance matrix update step, wherein the Kalman gain is equal to the product of the covariance matrix at the previous moment and the regression vector divided by the forgetting factor plus the product of the regression vector transpose and the covariance matrix, the sensor health state is evaluated, the health degree is equal to one minus the ratio of the measurement error standard deviation to the nominal standard deviation, the pollutant concentration trend is predicted by an autoregressive integrated moving average model, wherein the time series value after difference is related to the autoregressive term and the moving average term, abnormal detection is performed based on the moving average and the standard deviation, when the absolute difference between the data point and the moving average is greater than the multiple of the standard deviation, it is determined as an abnormal point, and multi-objective optimization is performed according to the system performance index, while minimizing multiple objective functions and satisfying the constraint conditions.

[0035] When the factory air environment pollution monitoring equipment of occupational hazards monitors according to the factory air environment pollution monitoring method of occupational hazards, the multiple AT-cut quartz crystals in the quartz crystal microbalance array module 1 produce stable high-frequency vibration under the driving of the double-mode oscillation circuit composed of J310 type junction field effect transistor and 74VHC04 type inverter, when the quenching oil mist and metal dust compound is deposited on the crystal surface, the ADE1 type frequency mixer sends the frequency signal to the first AD8302 type phase detector after frequency down-conversion to accurately measure the frequency shift and impedance change, this direct mass detection method avoids the measurement distortion problem caused by oil mist blockage in traditional filter sampling by monitoring the mass load and viscoelasticity change of the deposits on the crystal surface in real time, and the multi-harmonic measurement capability enables to distinguish the pure mass effect and the viscoelastic effect caused by oil mist.

[0036] In the synchronous working multi-wavelength optical sensor array module 2, the ultraviolet light emitting diode, the blue light emitting diode, the red light emitting diode and the infrared light emitting diode emit light beams of specific wavelengths under the constant current driving of the LM317, the light beams interact with the composite particles when passing through the contaminated area, the silicon photodiode receives scattered light signals at forward, 90-degree and backward angles respectively, the OPA656 trans-impedance amplifier converts the weak photocurrent into a voltage signal, the PGA112 programmable gain amplifier automatically adjusts the gain according to the signal strength to ensure the optimal measurement dynamic range, the LTC1562 anti-aliasing filter eliminates high-frequency noise, the first ADS8688 analog-to-digital converter converts the analog signal into a digital signal, and the avalanche photodiode is connected to the TDCGP30 time-to-digital converter through the CVA400 high-speed amplifier, forming a photon counting path with ultra-high sensitivity. This multi-wavelength and multi-angle optical design combines high dynamic range detection and single-photon counting technology, which can effectively distinguish the optical characteristics of oil mist droplets and metal particles, quantitatively analyze the oil mist concentration through the absorption characteristics of the ultraviolet band, and analyze the metal particle size distribution through the scattering characteristics of the blue light band.

[0037] The wideband impedance sensor array generates a precise sweep signal from 1 Hz to 1 MHz through the AD9958 direct digital synthesizer, which is driven by the OPA564 power amplifier and applied to the platinum interdigital electrode array. The IVC102 current-voltage converter measures the dielectric response of the composite contaminants in real time, and the second ADS1278 analog-to-digital converter captures the complete impedance spectrum data with high resolution. This wideband impedance analysis can distinguish the interfacial polarization of oil mist and the volume conduction effect of metal particles through the dielectric response characteristics at different frequencies, directly detect the presence and concentration of metal particles through the oil mist layer, and solve the interference problem of oil mist matrix on metal detection.

[0038] The ADF4351 radio frequency synthesizer in the surface acoustic wave sensor array generates radio frequency signals at 434 MHz, 868 MHz and 2.45 GHz frequency bands, which are amplified by the SKY65111 power amplifier to excite the surface acoustic wave devices of LiNbO3, LiTaO3 and Quartz substrates. The HMC773 mixer down-converts the return signal and analyzes the phase and amplitude changes by the second AD8302 phase detector. The second ADS8688 analog-to-digital converter digitizes the signal. This multi-frequency acoustic wave detection technology is extremely sensitive to changes in oil mist viscosity and density. The 434 MHz frequency band is sensitive to changes in oil film thickness, and the 2.45 GHz frequency band is sensitive to surface mass load. By comparing and analyzing the measurement results of multiple frequency bands, the oil film thickness change can be tracked in real time, and the oil mist deposition and particulate matter deposition can be distinguished, effectively overcoming the problem of uneven deposition of pollutants on the sensor surface in a hot and pressurized environment.

[0039] The thermal conductivity detector array is precisely maintained at 200°C by the ADN8830 proportional-integral-derivative controller, the PT1000 temperature sensor reads the temperature data in real time through the MAX31865 resistance temperature detector reader, and the IRF7413 field effect transistor is used as a power switch to drive the heater. When the oil mist volatiles pass through the detection chamber, the balance of the precision resistor in the Wheatstone bridge is broken, the INA128 instrument amplifier detects the small imbalance voltage, and the third ADS8688 analog-to-digital converter collects the signal. This thermal conductivity detection effectively distinguishes the thermal conductivity difference between oil mist volatile gas and air, provides an independent measurement parameter for the concentration of oil mist volatiles, and makes up for the shortcomings of other sensors in detecting gaseous components.

[0040] The OPA445 constant potential instrument operational amplifier in the electrochemical sensor array applies a precise scanning potential to the electrochemical cell composed of the working electrode of glassy carbon, the counter electrode of platinum wire, and the reference electrode of Ag / AgCl under the control of the DAC8568 digital-to-analog converter. The second IVC102 current-voltage converter measures the Faraday current generated by the oxidation and reduction of metal ions, and the fourth ADS8688 analog-to-digital converter collects the signal through the ADuM1412 digital isolator. This electrochemical detection directly quantifies the concentration of soluble metal ions, provides key information on the bioavailability of pollutants, and improves the evaluation dimension of the toxicity of complex pollutants.

[0041] After all sensor data is converted into digital signals by the analog-to-digital converter, it enters the field programmable gate array real-time processing unit of the data processing module 7. The field programmable gate array real-time processing unit uses its internal parallel architecture to synchronize data reception and preprocessing, loads configuration information through the W25Q256 flash memory, performs high-speed data caching through DDR3 memory, and the SI5338A clock generator provides precise timing synchronization for the entire processing device. This hardware parallel processing capability ensures the synchronization and real-time performance of multi-sensor data, providing a computational basis for subsequent complex algorithms.

[0042] The pre-processed multi-modal data is transmitted to a microcontroller unit of STM32H753 model through a serial peripheral interface, where a composite pollutant monitoring system data processing method is run, and a whole-process analysis of signal preprocessing and quality control, multi-dimensional feature extraction, carrier effect quantification, multi-source information fusion, pollutant identification and classification, health risk assessment, adaptive calibration optimization and trend prediction and early warning is sequentially performed, specifically including calculating a mass load feature from quartz crystal microbalance data based on a Sauerbrey equation, calculating a viscoelasticity correction feature based on a Kanazawa-Gordon equation, inverting a particle size distribution feature from optical sensor data based on Mie scattering theory, and extracting a relaxation time feature from impedance spectrum data based on a Cole-Cole model, and through these multi-dimensional feature extraction algorithms, the characteristics of the composite pollutant are completely characterized from different physical dimensions.

[0043] Then, an oil mist carrier efficiency, an alveolar deposition enhancement factor and a bioavailability correction coefficient are calculated to quantify the enhancement effect of the oil mist on the metal dust toxicity, and the composite toxicity multiplication effect ignored in traditional detection is revealed.

[0044] Then, multi-sensor features are processed by a principal component analysis algorithm, independent components in mixed signals are separated by an independent component analysis algorithm, uncertainty reasoning is performed by a Dempster-Shafer evidence theory, and imprecise information is processed by a fuzzy logic reasoning system, and this multi-level fusion ensures that even if a single sensor is disturbed by the oil mist, accurate measurement can still be obtained through compensation of other sensors.

[0045] Based on the fused feature information, a support vector machine algorithm is used for pollutant type classification, a random forest algorithm is used for multi-class classification, and a multivariate linear regression model and a partial least squares regression model are used for concentration quantitative analysis, overcoming the shortcomings of single chemical analysis in characterizing the composite.

[0046] Then, a time-weighted average exposure concentration, a respiratory zone inhalation exposure and a hazard quotient are calculated, and a real risk level is generated in combination with a composite risk index, solving the management blind spot of "qualified data but continuous hazards".

[0047] An online parameter calibration is performed by a recursive least squares algorithm to evaluate the sensor health status, a pollutant concentration trend prediction is performed by an autoregressive integrated moving average model, and an anomaly detection is performed based on a moving average value and a standard deviation, ensuring the accuracy of the equipment in long-term operation.

[0048] Finally, all monitoring results and early warning information are transmitted to an upper computer system through a LAN8720 Ethernet physical layer chip and an FT2232H universal serial bus interface chip.

[0049] The above merely provides the preferred embodiments of the present application, and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the principles and technical scope of the present application shall fall into the scope of the present application.

Claims

1. A plant air environment pollution monitoring device for occupational hazards, characterized by, The application relates to a sensor array module, a data processing module (7), an analog signal output end of the sensor array module is connected to a digital signal input end of the data processing module (7), a control signal output end of the data processing module (7) is connected to a control signal input end of the sensor array module, the data processing module (7) is characterized by full-process analysis of feature extraction, carrier effect quantization, multi-source information fusion, pollutant identification and classification, health risk assessment, self-adaptive calibration optimization and trend prediction and early warning, and finally outputs identification results and health risk grades of complex pollutants.

2. The plant air environment pollution monitoring device for occupational hazards according to claim 1, characterized in that, The quartz crystal microbalance array module (1) comprises a T-cut quartz crystal, a J310 junction field effect transistor, a 74VHC04 inverter, an ADG1434 radio frequency switch, an ADE1 frequency mixer, a first AD8302 phase detector and a first ADS1278 analog-to-digital converter, a first end of the T-cut quartz crystal is connected to a gate of the J310 junction field effect transistor, a second end of the T-cut quartz crystal is grounded, a source of the J310 junction field effect transistor is grounded through a first resistor, a drain of the J310 junction field effect transistor is connected to an input pin of the 74VHC04 inverter, an output pin of the 74VHC04 inverter is fed back to the input pin through a first capacitor, a positive power supply end of the 74VHC04 inverter is connected to electricity, a ground end of the 74VHC04 inverter is grounded, a first radio frequency input / output end of the ADG1434 radio frequency switch is connected to an output pin of the 74VHC04 inverter, a second radio frequency input / output end of the ADG1434 radio frequency switch is connected to an oscillator input end of the ADE1 frequency mixer, a first control end of the ADG1434 radio frequency switch is connected to a first general input / output end of a microcontroller unit in the data processing module (7), a second control end of the ADG1434 radio frequency switch is connected to a second general input / output end of the microcontroller unit in the data processing module (7), an intermediate frequency output end of the ADE1 frequency mixer is connected to a phase input end of the first AD8302 phase detector, a positive power supply end of the first AD8302 phase detector is connected to electricity, a ground end of the first AD8302 phase detector is grounded, and an output end of the first AD8302 phase detector is connected to a field programmable gate array real-time processing unit in the data processing module (7) through the first ADS1278 analog-to-digital converter.

3. The plant air environment pollution monitoring device for occupational hazards according to claim 1, characterized in that, The multi-wavelength optical sensor array module (2) comprises a UV LED, a blue LED, a red LED, an infrared LED, an LM317 constant current driver, a silicon photodiode, an OPA656 trans-impedance amplifier, a PGA112 programmable gain amplifier, an LTC1562 anti-aliasing filter, a first ADS8688 analog-to-digital converter, an avalanche photodiode, a high-speed amplifier CVA400, and a TDCGP30 time-to-digital converter, wherein the anode of the UV LED is connected to the output terminal of the LM317 constant current driver through a second resistor, and the cathode is grounded; the adjustment terminal of the LM317 constant current driver is grounded through a third resistor; the input terminal of the LM317 constant current driver is connected to a power supply; the cathode of the silicon photodiode is connected to the inverting input terminal of the OPA656 trans-impedance amplifier; the anode of the silicon photodiode is connected to a power supply; the non-inverting input terminal of the OPA656 trans-impedance amplifier is grounded; the output terminal of the OPA656 trans-impedance amplifier is connected to the inverting input terminal thereof through a fourth resistor; the power supply terminal of the OPA656 trans-impedance amplifier is connected to a power supply; the output terminal of the OPA656 trans-impedance amplifier is connected to the input terminal of the PGA112 programmable gain amplifier; the gain control terminal of the input terminal of the PGA112 programmable gain amplifier is connected to a microcontroller unit in the data processing module (7); the output terminal of the PGA112 programmable gain amplifier is connected to the input terminal of the LTC1562 anti-aliasing filter; the output terminal of the LTC1562 anti-aliasing filter is connected to the first ADS8688 analog-to-digital converter; the output terminal of the first ADS8688 analog-to-digital converter is connected to a field programmable gate array real-time processing unit in the data processing module (7); the cathode of the avalanche photodiode is connected to a power supply; the anode of the avalanche photodiode is connected to the input terminal of the CVA400 high-speed amplifier; the output terminal of the CVA400 high-speed amplifier is connected to the high-speed channel input terminal of the TDCGP30 time-to-digital converter; the clock input terminal of the TDCGP30 time-to-digital converter is connected to a 25MHZ crystal oscillator; and the data bus output terminal of the TDCGP30 time-to-digital converter is connected to a field programmable gate array real-time processing unit in the data processing module (7).

4. The plant air environment pollution monitoring device for occupational hazards according to claim 1, characterized in that, The wideband impedance sensor array module (3) comprises an interdigital electrode array, an AD9958 type direct digital synthesizer, an OPA564 type power amplifier, a first IVC102 type current-voltage converter, a second ADS1278 type analog-to-digital converter, the output end of the AD9958 type direct digital synthesizer is connected to the working electrode of the interdigital electrode array, the complementary output end of the AD9958 type direct digital synthesizer is connected to the ground through the fifth resistor, the serial clock end, the serial data input / output end and the chip selection end of the AD9958 type direct digital synthesizer are respectively connected to the serial peripheral interface clock end, the serial peripheral interface data end and the serial peripheral interface chip selection end of the microcontroller unit in the data processing module (7), the non-inverting input end of the OPA564 type power amplifier is connected to the output end of the AD9958 type direct digital synthesizer, the inverting input end of the OPA564 type power amplifier is connected to the ground through the sixth resistor, the output end of the OPA564 type power amplifier is connected to the counter electrode of the interdigital electrode array, and the power supply end thereof is connected to the electricity, the inverting input end of the first IVC102 type current-voltage converter is connected to the counter electrode of the interdigital electrode array, the non-inverting input end of the first IVC102 type current-voltage converter is connected to the ground, the output end of the first IVC102 type current-voltage converter is connected to the analog input end of the second ADS1278 type analog-to-digital converter, the first capacitor end and the second capacitor end of the first IVC102 type current-voltage converter are connected with the first integration capacitor, the analog input end of the second ADS1278 type analog-to-digital converter is connected to the output end of the first IVC102 type current-voltage converter, respectively, the data output end, the data clock end and the data ready end of the second ADS1278 type analog-to-digital converter are respectively connected to the serial data input end, the serial clock end and the control end of the field programmable gate array real-time processing unit in the data processing module (7).

5. The plant air environment pollution monitoring device for occupational hazards according to claim 1, characterized in that, The surface acoustic wave sensor array module (4) includes a surface acoustic wave device, an ADF4351 type radio frequency synthesizer, a SKY65111 type power amplifier, an HMC773 type mixer, a second AD8302 type phase detector, a second ADS8688 type analog-to-digital converter, a radio frequency output end of the ADF4351 type radio frequency synthesizer is connected to a radio frequency input end of the SKY65111 type power amplifier, a chip enable end, a clock end and a data end of the ADF4351 type radio frequency synthesizer are respectively connected to a first serial peripheral interface enable end, a serial peripheral interface clock end and a serial peripheral interface data end of a microcontroller unit in the data processing module (7), a radio frequency output end of the SKY65111 type power amplifier is connected to an input end of the surface acoustic wave device through a directional coupler, a positive power supply end thereof is connected to electricity, a radio frequency input end of the HMC773 type mixer is connected to an output end of the surface acoustic wave device, a local oscillator input end of the HMC773 type mixer is connected to a radio frequency output end of the ADF4351 type radio frequency synthesizer, an intermediate frequency output end of the HMC773 type mixer is connected to a phase input end of the second AD8302 type phase detector, a voltage output end of the second AD8302 type phase detector is connected to an analog input end of the second ADS8688 type analog-to-digital converter, a positive power supply end thereof is connected to electricity and a grounding end thereof is grounded, an analog input end of the second ADS8688 type analog-to-digital converter is connected to a voltage output end of the second AD8302 type phase detector, a serial data output end, a serial clock end and a chip selection end of the second ADS8688 type analog-to-digital converter are respectively connected to a serial data input end, a serial clock end and a chip selection end of a field programmable gate array real-time processing unit in the data processing module (7).

6. The plant air environment pollution monitoring device for occupational hazards according to claim 1, characterized in that, The thermal conductivity detector array module (5) includes a platinum heater, a PT1000 temperature sensor, an IRF7413 type field effect transistor, an ADN8830 type proportional integral differential controller, a MAX31865 type resistance temperature detector reader, a Wheatstone bridge, an INA128 type instrument amplifier, a third ADS8688 type analog-to-digital converter, a first end of the platinum heater is connected to the drain of the IRF7413 type field effect transistor, a second end of the platinum heater is grounded, a gate of the IRF7413 type field effect transistor is connected to the driving high end of the ADN8830 type proportional integral differential controller, a source of the IRF7413 type field effect transistor is grounded, a positive input end of the ADN8830 type proportional integral differential controller is connected to the output end of the third ADS8688 type analog-to-digital converter, a negative input end of the ADN8830 type proportional integral differential controller is connected to the data output end of the MAX31865 type resistance temperature detector reader, a positive power supply end of the MAX31865 type resistance temperature detector reader is connected to electricity, a resistance temperature detector positive end and a resistance temperature detector negative end of the MAX31865 type resistance temperature detector reader are connected to the output end of the PT1000 type temperature sensor, a chip selection end, a serial peripheral interface clock end, a master out slave in end, a master in slave out end of the MAX31865 type resistance temperature detector reader are respectively connected to a chip enable end, a serial peripheral interface clock end, a serial peripheral interface data output end, a serial peripheral interface data input end of a microcontroller unit in the data processing module (7), a first end of the Wheatstone bridge is connected to electricity, a second end of the Wheatstone bridge is connected to a negative input end of the INA128 type instrument amplifier, a third end of the Wheatstone bridge is connected to a non-inverting input end of the INA128 type instrument amplifier, a fourth end of the Wheatstone bridge is grounded, an output end of the INA128 type instrument amplifier is connected to an analog input end of the third ADS8688 type analog-to-digital converter, a power supply end of the third ADS8688 type analog-to-digital converter is connected to electricity, and an output end of the third ADS8688 type analog-to-digital converter is connected to a field programmable gate array real-time processing unit in the data processing module (7).

7. The plant air environment pollution monitoring device for occupational hazards according to claim 1, characterized in that, The electrochemical sensor array module (6) comprises a working electrode, a counter electrode, a reference electrode, an OPA445 type constant potential instrument operational amplifier, a second IVC102 type current-voltage converter, a DAC8568 type digital-to-analog converter, a fourth ADS8688 type analog-to-digital converter, and an ADuM1412 type digital isolator, the inverting input end of the OPA445 type constant potential instrument operational amplifier is connected to the working electrode, the non-inverting input end of the OPA445 type constant potential instrument operational amplifier is connected to the output end of the DAC8568 type digital-to-analog converter, the output end of the OPA445 type constant potential instrument operational amplifier is connected to the counter electrode, the power supply end of the OPA445 type constant potential instrument operational amplifier is connected to electricity, the output end of the DAC8568 type digital-to-analog converter is connected to the non-inverting input end of the OPA445 type constant potential instrument operational amplifier, the synchronous end, the serial data input end, and the serial clock end of the DAC8568 type digital-to-analog converter are respectively connected to the serial peripheral interface synchronous end, the serial peripheral interface data output end, and the serial peripheral interface clock end of the microcontroller unit in the data processing module (7), the inverting input end of the second IVC102 type current-voltage converter is connected to the counter electrode, the output end of the second IVC102 type current-voltage converter is connected to the analog input end of the fourth ADS8688 type analog-to-digital converter, the first capacitor end and the second capacitor end of the second IVC102 type current-voltage converter are connected to the second integration capacitor, the analog input end of the fourth ADS8688 type analog-to-digital converter is connected to the output end of the second IVC102 type current-voltage converter, the serial data output end, the serial clock end, and the chip selection end of the fourth ADS8688 type analog-to-digital converter are respectively connected to the input data end, the clock input end, and the chip selection input end of the ADuM1412 type digital isolator, and the output data end of the ADuM1412 type digital isolator is connected to the data input end of the field programmable gate array real-time processing unit in the data processing module (7).

8. The plant air environment pollution monitoring device for occupational hazards according to claim 1, characterized in that, The data processing module (7) comprises a field programmable gate array real-time processing unit, a microcontroller unit, a DDR3 memory, and a SI5338A type clock generator, the microcontroller unit is an STM32H753 microcontroller, the data bus pin of the field programmable gate array real-time processing unit is connected to the data bus of the DDR3 memory, the clock output end of the SI5338A type clock generator is connected to the global clock pin of the field programmable gate array real-time processing unit and the clock pin of the DDR3 memory, respectively, the configuration interface of the SI5338A type clock generator is connected to the integrated circuit bus of the microcontroller unit, and the Ethernet media independent interface of the microcontroller unit is connected with a LAN8720 type Ethernet physical layer chip.

9. A method for monitoring air environment pollution of a factory with occupational hazards by using the device for monitoring air environment pollution of a factory with occupational hazards according to any one of claims 1-8, comprising the following steps: synchronously collecting multi-modal sensing data by the sensor array module; The data processing module (7) extracts multi-dimensional features of the complex pollutants from the data, including mass loading features, optical scattering features, impedance spectrum features, sound wave propagation features, thermal conductivity features, and electrochemical features; Quantify the enhancement effect of oil mist carrier on metal dust toxicity, calculate carrier efficiency and toxicity enhancement coefficient; Integrate the feature information of each sensor through a multi-sensor data fusion algorithm to realize feature-level fusion and decision-level fusion; Based on the fused features, identify the type of pollutants and quantitatively analyze the concentration; Evaluate the health risk level of complex pollutants, calculate the exposure dose and risk level; Optimize system performance through adaptive calibration algorithm, and perform trend prediction and risk warning.

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