Liquid substance detection method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a liquid substance detection method and device, computer equipment, a computer readable storage medium and a computer program product, relates to the field of liquid monitoring, and can improve the liquid monitoring efficiency. The method comprises the following steps: carrying out first pretreatment related to volatile organic compound detection on an obtained to-be-detected liquid, and carrying out volatile organic compound detection on a volatile organic compound analysis sample obtained by the first pretreatment through a gas chromatograph-mass spectrometer; when the volatile organic compounds are detected, performing second pretreatment related to detection of the peculiar smell substances on the to-be-detected liquid through the peculiar smell substance monitoring unit; and monitoring the operation states of the odorous substance monitoring unit and the gas chromatograph-mass spectrometer, and if it is determined that the second pretreatment and the volatile organic compound detection are completed according to the operation state monitoring result, triggering the odorous substance monitoring unit to introduce the odorous substance analysis sample into the gas chromatograph-mass spectrometer for odorous substance detection.

Description

Technical Field

[0001] This application relates to the field of liquid monitoring technology, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for detecting liquid substances. Background Technology

[0002] With the acceleration of industrialization, volatile organic compounds (VOCs) and odor substances (such as 2-methylisoborneol (2-MIB) and geosmin (GSM)) have become common pollutants in the water environment, directly affecting water supply safety and residents' health.

[0003] Traditional technologies for detecting VOCs and odor substances in water typically employ separate pretreatment processes or rely on different detection devices for monitoring. This modular or step-by-step approach results in long detection cycles, low efficiency, and high labor costs. Summary of the Invention

[0004] Therefore, it is necessary to provide methods, apparatus, computer equipment, computer-readable storage media, and computer program products for detecting liquid substances in response to the above-mentioned technical problems.

[0005] In a first aspect, this application provides a method for detecting liquid substances, comprising:

[0006] The obtained test liquid is subjected to a first pretreatment related to the detection of volatile organic compounds. The volatile organic compounds in the sample obtained by the first pretreatment are detected by gas chromatography-mass spectrometry in the monitoring system.

[0007] During the detection of volatile organic compounds, the liquid to be tested undergoes a second pretreatment related to the detection of odor substances through the odor substance monitoring unit in the monitoring system.

[0008] The operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument is monitored. If the second pretreatment and the detection of volatile organic compounds are determined to be completed based on the monitoring results, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the GC-MS instrument for odor substance detection.

[0009] In one embodiment, the monitoring system further includes a volatile organic compound monitoring unit;

[0010] The first pretreatment of the acquired test liquid, related to the detection of volatile organic compounds, includes:

[0011] A sampling parameter signal is generated, and the volatile organic compound monitoring unit is controlled to extract a preset volume of the liquid to be tested based on the sampling parameter signal;

[0012] A processing flow signal is generated, and based on the processing flow signal, the volatile organic compound monitoring unit is controlled to perform various purge and trap procedures on the liquid to be tested.

[0013] In one embodiment, the second pretreatment related to odor substance detection of the test liquid by the odor substance monitoring unit in the monitoring system includes:

[0014] Send an injection signal to the odor substance monitoring unit, and trigger the odor substance monitoring unit to inject the liquid to be tested into a sample bottle containing a pre-filled salt reagent based on the injection signal;

[0015] Generate temperature control parameters, and based on the temperature control parameters, control the odor substance monitoring unit to maintain the sample bottle at the target temperature;

[0016] The timing parameters are generated, and the odor substance monitoring unit is controlled to maintain the sample bottle at the target temperature for the duration corresponding to the timing parameters before performing the extraction operation.

[0017] In one embodiment, the odor detection unit includes a robotic arm assembly;

[0018] The second pretreatment related to odor substance detection of the test liquid by the odor substance monitoring unit in the monitoring system further includes:

[0019] Before sending the liquid injection signal to the odor substance monitoring unit, a first scheduling instruction is generated, and based on the first scheduling instruction, the robotic arm assembly is controlled to move the sample bottle to the capping station and perform the capping action.

[0020] Upon detecting that the odor substance monitoring unit has completed liquid injection, a second scheduling command is generated, and the sample bottle is controlled to be sealed based on the second scheduling command.

[0021] A third scheduling instruction is generated, and based on the third scheduling instruction, the robotic arm assembly is controlled to move the sealed sample bottle to the temperature control station, so as to control the odor substance monitoring unit to maintain the sample bottle at the target temperature based on the temperature control parameters.

[0022] In one embodiment, the odor substance monitoring unit includes an extraction component;

[0023] The triggering of the odor substance monitoring unit will import the odor substance analysis sample obtained from the second pretreatment into the gas chromatography-mass spectrometry instrument for odor substance detection, including:

[0024] Generate an injection displacement command, and based on the injection displacement command, control the extraction component of the analytical sample adsorbed with the odor substance to move and insert into the injection port of the gas chromatography-mass spectrometry instrument;

[0025] A desorption control signal is generated, and based on the desorption control signal, the extraction component is controlled to perform a high-temperature desorption action for a preset duration in the sample inlet port, so as to introduce the odor substance analysis sample into the gas chromatography-mass spectrometry instrument for the detection of the odor substance.

[0026] In one embodiment, the method further includes:

[0027] Acquire the spectral data of volatile organic compounds and odor substances uploaded by the gas chromatography-mass spectrometry instrument;

[0028] Based on pre-stored quantitative algorithm models for volatile organic compounds and odor substances, the spectral data of volatile organic compounds and odor substances are analyzed to obtain detection and analysis results.

[0029] Secondly, this application also provides a liquid substance detection device, comprising:

[0030] The first monitoring module is used to perform a first pretreatment related to the detection of volatile organic compounds on the acquired liquid to be tested, and to detect the volatile organic compounds in the volatile organic compound analysis sample obtained by the first pretreatment by using a gas chromatography-mass spectrometry instrument in the monitoring system.

[0031] The second monitoring module is used to perform a second pretreatment related to odor substance detection on the liquid to be tested through the odor substance monitoring unit in the monitoring system during the detection of volatile organic compounds.

[0032] The sample injection control module is used to monitor the operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry instrument. If the second pretreatment and the detection of volatile organic compounds are determined to be completed according to the monitoring results, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the gas chromatography-mass spectrometry instrument for odor substance detection.

[0033] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0034] The obtained test liquid is subjected to a first pretreatment related to the detection of volatile organic compounds. The volatile organic compounds in the sample obtained by the first pretreatment are detected by gas chromatography-mass spectrometry in the monitoring system.

[0035] During the detection of volatile organic compounds, the liquid to be tested undergoes a second pretreatment related to the detection of odor substances through the odor substance monitoring unit in the monitoring system.

[0036] The operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument is monitored. If the second pretreatment and the detection of volatile organic compounds are determined to be completed based on the monitoring results, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the GC-MS instrument for odor substance detection.

[0037] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0038] The obtained test liquid is subjected to a first pretreatment related to the detection of volatile organic compounds. The volatile organic compounds in the sample obtained by the first pretreatment are detected by gas chromatography-mass spectrometry in the monitoring system.

[0039] During the detection of volatile organic compounds, the liquid to be tested undergoes a second pretreatment related to the detection of odor substances through the odor substance monitoring unit in the monitoring system.

[0040] The operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument is monitored. If the second pretreatment and the detection of volatile organic compounds are determined to be completed based on the monitoring results, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the GC-MS instrument for odor substance detection.

[0041] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0042] The obtained test liquid is subjected to a first pretreatment related to the detection of volatile organic compounds. The volatile organic compounds in the sample obtained by the first pretreatment are detected by gas chromatography-mass spectrometry in the monitoring system.

[0043] During the detection of volatile organic compounds, the liquid to be tested undergoes a second pretreatment related to the detection of odor substances through the odor substance monitoring unit in the monitoring system.

[0044] The operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument is monitored. If the second pretreatment and the detection of volatile organic compounds are determined to be completed based on the monitoring results, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the GC-MS instrument for odor substance detection.

[0045] The aforementioned liquid substance detection method, apparatus, computer equipment, computer-readable storage medium, and computer program product perform a first pretreatment related to volatile organic compound (VOC) detection on the acquired test liquid. Then, a gas chromatography-mass spectrometry (GC-MS) instrument in the monitoring system is used to detect VOCs in the sample obtained from the first pretreatment. During VOC detection, an odorant monitoring unit in the monitoring system performs a second pretreatment related to odorant detection on the test liquid. The operating status of the odorant monitoring unit and the GC-MS instrument is monitored. If the monitoring results indicate that the second pretreatment and VOC detection have been completed, the odorant monitoring unit is triggered to import the odorant analysis sample obtained from the second pretreatment into the GC-MS instrument for odorant detection. In this application, by driving the odor substance monitoring unit to perform pretreatment in parallel within the time window of the gas chromatography-mass spectrometry (GC-MS) instrument for volatile organic compound detection, the time when the detection equipment is occupied is effectively utilized to mask the time-consuming pretreatment process for odor substances. This significantly shortens the total cycle for dual-component detection of the same liquid sample while reusing a single detection device. Furthermore, by real-time monitoring of the dual-end operating status and triggering sample injection based on the logic of "second pretreatment completed and first detection task finished," a precise equipment resource conflict avoidance mechanism is established. This achieves automated and seamless integration from multi-channel pretreatment to single-channel detection, effectively improving the monitoring efficiency of liquid substances. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1This is a schematic diagram of the architecture of the monitoring system corresponding to the liquid substance detection method in one embodiment;

[0048] Figure 2 This is a flowchart illustrating a liquid substance detection method in one embodiment;

[0049] Figure 3 This is a schematic diagram of the monitoring system architecture corresponding to the liquid substance detection method in another embodiment;

[0050] Figure 4 This is a flowchart illustrating a liquid substance detection method in another embodiment;

[0051] Figure 5 This is a structural block diagram of a liquid substance detection device in one embodiment;

[0052] Figure 6 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0054] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various objects, but these objects are not limited by these terms. These terms are only used to distinguish the first object from the second object. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0055] The liquid substance detection method provided in this application is applied to an intelligent monitoring environment that includes a central control device and a monitoring system connected to it.

[0056] In some embodiments, such as Figure 1As shown, the monitoring system may include a volatile organic compound (VOC) monitoring unit, an odor substance monitoring unit, and a gas chromatography-mass spectrometry (GC-MS) instrument. The VOC monitoring unit can be an automated pretreatment device integrated into the monitoring system, used to extract volatile components from the test liquid, for example, based on purge-and-trap technology or headspace sampling technology, achieving separation of the target analyte from the liquid matrix through gas-liquid exchange. The odor substance monitoring unit can be a hardware subsystem specifically designed for the extraction and enrichment of non-volatile or trace odor-causing substances such as geosmin and 2-methylisoborneol. It typically integrates a precision injection pump, a constant-temperature furnace, and robotic arms as actuators. Gas chromatography-mass spectrometry (GC-MS) is used for the separation and qualitative and quantitative analysis of samples prepared in the above units. It can be used for the detection of different components in a time-division manner by using a common injection port or a multi-channel switching valve. The injection port of the GC-MS is the inlet of the high-temperature vaporization chamber of the instrument, which is used to provide an instantaneous high-temperature environment to desorb organic matter adsorbed on the solid medium and enter the chromatographic column.

[0057] In one embodiment, the central control device serves as the logic control core, used to generate control commands and acquire feedback data. It can be an industrial control terminal integrated in a cabinet, a remotely deployed server, or it can be applied to a system that includes both terminals and servers, and is implemented through the interaction between the terminals and servers.

[0058] In one exemplary embodiment, such as Figure 2 As shown, a method for detecting liquid substances is provided. Taking the application of this method to a terminal as an example, the method includes the following steps S202 to S206. Wherein:

[0059] Step S202: Perform a first pretreatment related to the detection of volatile organic compounds on the obtained test liquid, and use a gas chromatography-mass spectrometry system in the monitoring system to detect volatile organic compounds in the sample obtained from the first pretreatment.

[0060] The first pretreatment can be a specific process for extracting volatile components from the liquid to be tested, including but not limited to purging the liquid sample with an inert gas, enriching the escaping gas with an adsorbent, and a subsequent thermal desorption process, with the aim of preparing a volatile organic compound analysis sample with a concentration that meets the instrument detection limit.

[0061] For example, the terminal generates a volatile organic compound (VOC) detection command and sends it to the VOC monitoring unit in the monitoring system via a communication link. This detection command triggers the monitoring system to perform a series of automated operations, such as controlling the VOC monitoring unit to acquire the test liquid and performing a first pretreatment on the test liquid to obtain an analytical sample containing the target analyte. Subsequently, the terminal controls a gas chromatography-mass spectrometry (GC-MS) instrument to detect VOCs in the analytical sample obtained from the first pretreatment. During this process, the terminal maintains communication with the GC-MS instrument, driving the instrument to run a preset analytical method to obtain detection data on the VOCs in the test liquid.

[0062] Step S204: During the detection of volatile organic compounds, the odor substance monitoring unit in the monitoring system performs a second pretreatment related to odor substance detection on the liquid to be tested.

[0063] The second pretreatment can be a sample preparation process specifically configured to address the physicochemical properties of a particular odorant (e.g., geosmin) in the test liquid. Its purpose is to improve the detection sensitivity of the target trace substance. This process may include, but is not limited to, adding auxiliary reagents to the liquid, performing isothermal incubation and equilibration, and performing adsorption and enrichment through solid-phase microextraction components, in order to prepare an odorant analysis sample suitable for instrumental analysis.

[0064] Odor pretreatment instructions are digital control signals generated by the terminal to start the second pretreatment process, and they can carry specific process parameters or action sequences.

[0065] For example, after controlling the gas chromatography-mass spectrometry (GC-MS) instrument to begin performing volatile organic compound (VOC) detection, the terminal can continuously or periodically acquire the instrument's real-time operating status data through data communication with the GC-MS. When the terminal confirms based on this operating status data that the GC-MS is in the operating cycle of performing VOC detection (e.g., the instrument is performing chromatographic separation or data acquisition and is online), the terminal identifies this available time window and generates an odor pretreatment instruction. Subsequently, the terminal sends this odor pretreatment instruction to the odor substance monitoring unit, controlling the unit to perform a second pretreatment on the same batch of test liquids. During this process, the terminal drives the various execution components within the odor substance monitoring unit to operate collaboratively via instructions, such as controlling the sequential operation of the injection, heating, and extraction components, thereby independently completing the preparation of odor substance analysis samples in the background while the GC-MS is occupied.

[0066] Step S206: Monitor the operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument. If the second pretreatment and volatile organic compound detection are determined to be completed based on the monitoring results, the odor substance monitoring unit will be triggered to import the odor substance analysis sample obtained from the second pretreatment into the GC-MS instrument for odor substance detection.

[0067] The operating status can be a real-time digital identifier indicating the current work progress in the monitoring system, such as status bit information like "ready", "fault" or "completed" obtained by reading the device status register.

[0068] The operational status monitoring results can be a judgment conclusion obtained after aggregating and performing logical operations on multi-source status data, which is used to indicate whether the current system timing meets the start conditions of a specific operation.

[0069] For example, the terminal continuously acquires real-time operating status data of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument via a communication interface. The terminal performs logical analysis on the acquired data. If, based on the operating status monitoring results, it determines that both of the following conditions are met simultaneously: first, the odor substance monitoring unit has completed the second pretreatment (i.e., the odor substance analysis sample is ready, for example, the solid-phase microextraction process has ended); and second, the GC-MS instrument has completed the previous round of volatile organic compound detection and has returned to idle or standby mode, then the terminal determines that the injection conditions are met. Based on this determination, the terminal generates an odor injection command and sends it to the odor substance monitoring unit. This command triggers the odor substance monitoring unit to introduce the odor substance analysis sample obtained from the second pretreatment into the GC-MS instrument (e.g., controlling the extraction component adsorbed with the sample to insert into the injection port and perform high-temperature desorption). Subsequently, the terminal generates a start command to control the GC-MS instrument to begin odor substance detection.

[0070] In this embodiment, by effectively utilizing the volatile organic compound (VOC) detection timing during the monitoring of the gas chromatography-mass spectrometry (GC-MS) instrument's operation, the time-consuming incubation and extraction process for odor substances is masked. This significantly shortens the overall cycle for dual-component detection of the same water sample while reusing a single detection device. Furthermore, by real-time monitoring of the dual-end operation status and generating odor injection commands based on the logical determination that odor pretreatment is complete and VOC detection is finished, a fully automated and seamless connection from pretreatment to dual-channel injection is achieved. This reduces hardware costs while eliminating operational errors and time lags introduced by manual timing control, thus improving monitoring efficiency.

[0071] In one exemplary embodiment, the monitoring system further includes a volatile organic compound monitoring unit;

[0072] Perform a first pretreatment on the acquired test liquid related to the detection of volatile organic compounds, including:

[0073] A sampling parameter signal is generated, and the volatile organic compound monitoring unit is controlled to extract a preset volume of the liquid to be tested based on the sampling parameter signal; a processing flow signal is generated, and the volatile organic compound monitoring unit is controlled to execute each purge and trap procedure on the liquid to be tested based on the processing flow signal.

[0074] Among them, the sampling parameter signal is a digital instruction used to define the physical quantity of the sampling action, which may include, but is not limited to, configuration information such as target sampling volume (e.g., 5 mL or 25 mL), sampling flow rate, and number of cleaning cycles.

[0075] Processing signals can be control codes used to define the timing of pretreatment processes, indicating when the equipment should start the purge gas path, when to perform adsorption enrichment, and when to initiate high-temperature desorption, among other operational steps.

[0076] For example, the terminal can generate a sampling parameter signal and send it to the control interface of the volatile organic compound (VOC) monitoring unit. Based on this sampling parameter signal, the terminal controls the sampling component (e.g., a high-precision syringe pump) within the VOC monitoring unit to extract a sample volume meeting a preset volume requirement from the liquid source to be tested and inject it into the purge tube. Subsequently, the terminal generates a processing flow signal, based on which it controls the VOC monitoring unit to perform various purge and trap procedures on the liquid to be tested in the purge tube. During this process, the terminal controls an inert gas (such as nitrogen or helium) to continuously pass through the liquid sample at a constant flow rate, carrying the VOCs into the trap tube for enrichment. After the purge is completed, the terminal controls the trap tube to be momentarily heated (e.g., heated to above 200°C) and switches the flow path, backflushing the desorbed high-concentration VOC analysis sample into a gas chromatography-mass spectrometry (GC-MS) instrument.

[0077] In this embodiment, the scheduled purge and trap program can effectively separate and concentrate trace amounts of volatile organic compounds from the complex liquid matrix, eliminating the interference of water on the gas chromatography column and significantly improving the system's detection sensitivity for low concentrations of volatile pollutants.

[0078] In one exemplary embodiment, the odor detection unit in the monitoring system performs a second pretreatment related to odor detection on the liquid to be tested, including:

[0079] A liquid injection signal is sent to the odor substance monitoring unit, which is then triggered to inject the liquid to be tested into a sample bottle containing a pre-filled salt reagent. Temperature control parameters are generated, and the odor substance monitoring unit is controlled to maintain the sample bottle at the target temperature based on these parameters. Time parameters are generated, and the odor substance monitoring unit is controlled to maintain the sample bottle at the target temperature for the duration corresponding to the time parameters before performing the extraction operation.

[0080] The injection signal can be a trigger-type control command, which is used to drive the precision fluid components (such as an injection pump) in the odor substance monitoring unit to complete a quantitative liquid transfer operation.

[0081] Salt reagents can refer to sodium chloride (NaCl) or other inorganic salt solids pre-placed in the sample bottle. Their function is to reduce the solubility of organic matter in water by increasing the ionic strength of the aqueous phase, thereby increasing the partition coefficient of volatile odor substances in the headspace phase.

[0082] Temperature control parameters and timing parameters can be digital configuration information used to define thermodynamic equilibrium conditions, corresponding to the target temperature setpoint (e.g., 60°C) and the duration of holding at that temperature (e.g., 30 minutes), respectively.

[0083] For example, the terminal can generate an injection signal and send it to the odor substance monitoring unit. Based on this injection signal, the odor substance monitoring unit is triggered to inject the extracted test liquid into a sample bottle pre-filled with a quantitative amount of salt reagent. An agitation mechanism is used to dissolve the salt to form a high-ionic-strength mixture. Subsequently, the terminal generates temperature control parameters and sends them to the temperature control module of the odor substance monitoring unit, controlling it to activate the heating element to maintain the sample bottle at the target temperature. Simultaneously, the terminal generates timing parameters to control the odor substance monitoring unit to strictly monitor the incubation process, ensuring that the sample bottle is maintained at the target temperature for the duration set by the timing parameters. When the terminal determines that the incubation time meets the requirements, it generates an extraction control command, driving the solid-phase microextraction component to extend into the sample bottle to perform the extraction operation.

[0084] In this embodiment, the precise control of temperature and timing parameters ensures that each sample is extracted under completely consistent gas-liquid equilibrium conditions, eliminating analytical errors caused by temperature fluctuations or inaccurate time control during manual operation, thereby greatly improving the accuracy of odor substance detection results.

[0085] In one exemplary embodiment, the odor detection unit includes a robotic arm assembly;

[0086] The second pretreatment related to odor substance detection is performed on the liquid to be tested by the odor substance monitoring unit in the monitoring system, which also includes:

[0087] Before sending the liquid injection signal to the odor substance monitoring unit, a first scheduling instruction is generated. Based on the first scheduling instruction, the robotic arm assembly is controlled to move the sample bottle to the capping station and perform the capping action. When the liquid injection of the odor substance monitoring unit is detected to be completed, a second scheduling instruction is generated. Based on the second scheduling instruction, the sample bottle is controlled to be sealed. A third scheduling instruction is generated. Based on the third scheduling instruction, the robotic arm assembly is controlled to move the sealed sample bottle to the temperature control station, so that the odor substance monitoring unit can maintain the sample bottle at the target temperature based on the temperature control parameters.

[0088] The robotic arm component can be an automated electromechanical device integrated into the odor monitoring unit. It has multi-axis motion capability and is used to grasp, transport and position sample bottles between different functional areas under the drive of terminal commands.

[0089] The scheduling instructions can be serialized control codes generated according to a preset process flow, used to coordinate the spatial displacement and action timing of the robotic arm. The first, second, and third scheduling instructions involved in this application all satisfy the definition of the scheduling instructions, wherein the first, second, and third are used to distinguish different operations on the sample.

[0090] The capping station and the temperature control station represent different functional modules within the odor substance monitoring unit. The former can be equipped with a capping mechanism to open or close the bottle mouth before and after liquid injection, while the latter serves as an incubation area to provide a constant temperature environment to promote gas-liquid balance.

[0091] For example, before sending the liquid injection signal to the odor substance monitoring unit, the terminal can generate a first scheduling command. Based on this command, the terminal controls the robotic arm assembly to grab the designated empty sample bottle, precisely transfer it to the capping station, and drive the robotic arm assembly to perform the capping action, preparing for the subsequent liquid injection operation. Subsequently, after the terminal confirms through status monitoring that the odor substance monitoring unit has completed the liquid injection operation, the terminal immediately generates a second scheduling command, controlling the robotic arm assembly to reseal the sample bottle to construct a closed reaction system. Immediately afterwards, the terminal generates a third scheduling command, based on which it controls the robotic arm assembly to transport the sealed sample bottle from the capping station to the temperature control station, and then controls the heating module to start based on the temperature control parameters, thereby allowing the sample bottle to enter the constant temperature incubation stage.

[0092] In this embodiment, the robotic arm's movements are precisely controlled by scheduling commands, completely replacing the traditional manual handling of samples, unscrewing bottle caps, and placing them into the heating furnace. This significantly reduces labor costs, and the automated logistics scheduling ensures high consistency at every stage from liquid injection to sealing and incubation, thereby further guaranteeing the accuracy of odor substance detection data.

[0093] In one exemplary embodiment, the odor substance monitoring unit includes an extraction component;

[0094] The odor detection unit will import the odor analysis sample obtained from the second pretreatment into a gas chromatography-mass spectrometry (GC-MS) instrument for odor detection, including:

[0095] A sample injection displacement command is generated. Based on the sample injection displacement command, the extraction component that adsorbs the odorous substance analytical sample is moved and inserted into the sample injection port of the gas chromatography-mass spectrometry instrument. A desorption control signal is generated. Based on the desorption control signal, the extraction component is controlled to perform a high-temperature desorption action for a preset duration within the sample injection port, so as to introduce the odorous substance analytical sample into the gas chromatography-mass spectrometry instrument for odorous substance detection.

[0096] The extraction component can be a movable part in the odor substance monitoring unit used to carry the solid-phase microextraction fiber head or other adsorption medium, which can extend and adsorb the target substance under mechanical drive.

[0097] The injection displacement command is a motion control code generated by the terminal to control the precise positioning of the component in three-dimensional space. It contains the spatial coordinate path from the extraction station to the injection port of the detection instrument.

[0098] The desorption control signal is a timing logic signal issued by the terminal, used to define the residence time (i.e., desorption time) of the extraction component in the high-temperature injection port.

[0099] For example, when the terminal determines that the injection trigger condition is met, it generates an injection displacement command and sends it to the motion controller of the odor substance monitoring unit. Based on this injection displacement command, the terminal controls the extraction assembly, which adsorbs the odor substance analysis sample, to move from its current extraction position to above the gas chromatography-mass spectrometry (GC-MS) instrument, precisely inserting the extraction head deep into the injection port. Immediately afterwards, the terminal generates a desorption control signal. Based on this signal, the terminal controls the extraction assembly to remain stationary in the high-temperature environment of the injection port and strictly executes the desorption action for a preset duration (e.g., 5 minutes). During this period, the terminal ensures that the extraction head is fully exposed to the carrier gas path, allowing the enriched odor substances to rapidly vaporize under heat and be introduced into the chromatographic column of the GC-MS instrument, thus officially initiating odor substance detection.

[0100] In this embodiment, through the above steps, automated control avoids the risk of the extremely fine extraction components breaking due to hand tremors during manual operation, extends the service life of consumables, and ensures that odor substances can enter the gas chromatography-mass spectrometry instrument with more accurate processing results, thereby guaranteeing the resolution and qualitative accuracy of the final detection spectrum.

[0101] In an exemplary embodiment, the method further includes: acquiring volatile organic compound (VOC) spectral data and odor substance spectral data uploaded by a gas chromatography-mass spectrometry (GC-MS) instrument; and analyzing the VOC spectral data and odor substance spectral data based on pre-stored VOC quantification algorithm models and odor substance quantification algorithm models, respectively, to obtain detection and analysis results.

[0102] Among them, spectral data can refer to the raw signal records generated by the gas chromatography-mass spectrometry (GC-MS) instrument during the detection process. It can include the chromatographic elution curve (retention time) and the corresponding mass spectrometry fragment information (mass-to-charge ratio). Depending on the detection object, it can be specifically divided into spectral data of volatile organic compounds and spectral data of odor substances.

[0103] The quantitative algorithm model can be a mathematical calculation logic that is pre-built and stored in the terminal storage medium. It is based on the calibration curve of the standard substance and is used to map the intensity of the response signal in the spectrum to a specific substance concentration value.

[0104] For example, after the gas chromatography-mass spectrometry (GC-MS) instrument completes the physical-level detection task, the terminal acquires the volatile organic compound (VOC) and odor substance (OF) spectral data uploaded by the GC-MS instrument through a data communication interface. Subsequently, based on the data type identifier, the terminal retrieves the pre-stored quantitative algorithm models for VOCs and OF from the local database or cloud storage, respectively.

[0105] Based on pre-stored quantitative algorithm models for volatile organic compounds (VOCs) and odor substances, the terminal performs parallel or serial analysis on the two sets of acquired spectral data: for VOC spectral data, the terminal identifies the characteristic peaks of each common organic compound and calculates its concentration; for odor substance spectral data, the terminal uses a highly sensitive odor quantification algorithm model to extract trace signals of odor substances for quantitative calculation. Finally, the terminal summarizes the obtained concentration data to generate detection and analysis results containing multiple component indicators.

[0106] In this embodiment, data is automatically acquired and matched with the corresponding algorithm model for analysis, replacing the traditional manual spectrum reading and calculation process. This allows the test report to be generated immediately after the physical test is completed, greatly improving the efficiency of data processing.

[0107] To enable those skilled in the art to better understand the above steps, the following example illustrates the embodiments of this application, but it should be understood that the embodiments of this application are not limited thereto.

[0108] In one exemplary embodiment, this application also provides a complete monitoring system, such as Figure 3As shown, the upper part of the system constitutes the odor substance monitoring unit, which includes valve V1, a sample vial pre-filled with NaCl (sodium chloride), and a matching mechanical actuator. Opening / closing the cap, incubation, and extraction are the second pretreatment processes designed for non-volatile odor substances. NaCl is used to induce a salting-out effect, and the solid-phase microextraction probe is used to adsorb headspace odor molecules after isothermal incubation. The lower part of the system constitutes the volatile organic compound (VOC) monitoring unit. Valve V2 is a key switching component connecting the syringe pump and the purge device. The purge and collection device, as shown, uses nitrogen as a carrier gas to purge volatile components from the liquid and enrich them in the collection tube. This process is the first pretreatment for volatile organic compound (VOC) characteristics, aiming to transfer trace organic matter from the liquid phase to the gas phase and concentrate it. Furthermore, the sampling end of the monitoring system incorporates a fluid distribution network based on a multi-port valve and a precision pump. The water storage tank serves as an intermediate buffer container connecting the water source and the analysis unit, temporarily storing sampled liquids from the same batch to ensure sample consistency for subsequent parallel analyses. A multi-position valve (6-hole valve) works in conjunction with the syringe pump to form a liquid-driven assembly capable of accurately measuring and switching units. This assembly connects not only to the sampled liquid but also to pure water, external standard solution, and internal standard solution, enabling automatic instrument calibration and cleaning.

[0109] In an exemplary embodiment, the liquid substance detection method of this application is applied to the above-mentioned monitoring system, such as... Figure 4 As shown, the method specifically includes:

[0110] S401 drives and executes the first preprocessing signal for VOCs.

[0111] Specifically, the terminal first initiates the detection process. The terminal generates sampling parameter signals and sends them to the volatile organic compound (VOC) monitoring unit. Based on these sampling parameter signals, the terminal controls the syringe pump within the VOC monitoring unit to extract a preset volume (e.g., 5 mL) of the test liquid from the common storage tank and pushes it into the purge tube via a valve switch. Subsequently, the terminal generates a processing flow signal, based on which it controls the VOC monitoring unit to execute various purge and trap procedures on the test liquid: controlling the nitrogen source to turn on to purge volatile components, controlling the purge and trap instrument for adsorption and enrichment, and controlling the heating element for thermal desorption, thereby obtaining a gaseous VOC analysis sample.

[0112] S402, Detection of Volatile Organic Compounds and Establishment of Parallel Window.

[0113] Specifically, after the first pretreatment, the volatile organic compound (VOC) analysis sample is introduced into a gas chromatography-mass spectrometry (GC-MS) instrument. The terminal then controls the GC-MS to detect VOCs in the sample. During the VOC detection process, the terminal continuously acquires the operating status of the GC-MS. Once the instrument is confirmed to be in detection mode, the terminal immediately uses this time window to initiate a parallel task, preparing to perform a second pretreatment related to odor substance detection on the same analyte liquid.

[0114] S403, Odor substance monitoring unit instruction scheduling and process control.

[0115] Specifically, during the parallel window period, the terminal performs the following operations: First, it generates a first scheduling instruction, which controls the robotic arm assembly to move the empty sample vial to the capping station and perform the capping action. Second, it sends an injection signal to the odor monitoring unit, which triggers the injection pump to inject the test liquid into the sample vial pre-filled with salt reagents. Upon detecting completion of the injection, the terminal generates a second scheduling instruction to seal the sample vial, followed by a third scheduling instruction to control the robotic arm assembly to move the sealed sample vial to the temperature control station. Third, the terminal generates temperature control parameters and timing parameters, controlling the odor monitoring unit to maintain the sample vial at the target temperature (e.g., 60°C) for the duration corresponding to the timing parameters (e.g., 30 minutes). After incubation, the terminal controls the execution of an extraction operation (e.g., driving the extraction needle probe into the vial).

[0116] S404, Analytical item injection based on condition monitoring.

[0117] Specifically, the terminal monitors the operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument in real time. If the monitoring results indicate that the second pretreatment (i.e., extraction operation) has been completed and the previous round of volatile organic compound detection has ended (the instrument has returned to idle), the terminal determines that the injection conditions are met. At this time, the terminal generates an injection displacement command, which controls the extraction component adsorbed with the odor substance sample to move and insert into the injection port of the GC-MS instrument. Immediately afterwards, the terminal generates a desorption control signal, controlling the extraction component to perform a high-temperature desorption operation for a preset duration within the injection port, introducing the odor substance into the GC-MS instrument for detection.

[0118] S405, Acquisition and quantitative analysis of dual-channel spectral data.

[0119] Specifically, after completing two tests, the terminal acquires the volatile organic compound (VOC) and odor substance (OF) spectral data uploaded by the gas chromatography-mass spectrometry (GC-MS) instrument. The terminal then analyzes these two sets of data based on pre-stored quantitative algorithm models for VOCs (for the lower sample in the image) and OF substances (for the upper sample in the image), respectively. The terminal identifies characteristic peaks and calculates their concentrations, ultimately obtaining the detection and analysis results containing multiple component indicators.

[0120] In this embodiment, simultaneous detection of VOCs and odor substances in water is achieved, enabling a single system to function as two separate devices, thus saving costs and providing better timeliness and reliability of the test data. Secondly, automated control of volatile organic compound detection is implemented, thereby achieving automatic water sample monitoring. This significantly improves data throughput and timeliness, enabling 24-hour unattended monitoring and reducing the risk of errors introduced by numerous manual steps. Furthermore, the increased automation reduces tedious pre-processing work, and the seamless workflow during monitoring minimizes manual intervention and repetitive operations, increasing operational speed and monitoring efficiency.

[0121] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0122] Based on the same inventive concept, this application also provides a liquid substance detection device for implementing the liquid substance detection method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the liquid substance detection device provided below can be found in the limitations of the liquid substance detection method described above, and will not be repeated here.

[0123] In one exemplary embodiment, such as Figure 5As shown, a liquid substance detection device is provided, comprising: a first monitoring module 510, a second monitoring module 520, and a sample injection control module 530, wherein:

[0124] The first monitoring module 510 is used to perform a first pretreatment related to the detection of volatile organic compounds on the acquired liquid to be tested, and to perform the volatile organic compound detection on the volatile organic compound analysis sample obtained by the first pretreatment through a gas chromatography-mass spectrometry instrument in the monitoring system.

[0125] The second monitoring module 520 is used to perform a second pretreatment related to odor substance detection on the liquid to be tested through the odor substance monitoring unit in the monitoring system during the detection of volatile organic compounds.

[0126] The sample introduction control module 530 is used to monitor the operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry instrument. If it is determined from the operating status monitoring results that the second pretreatment and the detection of volatile organic compounds have been completed, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the gas chromatography-mass spectrometry instrument for odor substance detection.

[0127] In one embodiment, the monitoring system further includes a volatile organic compound monitoring unit; the first monitoring module 510 is further configured to:

[0128] A sampling parameter signal is generated, and the volatile organic compound monitoring unit is controlled to extract a preset volume of the liquid to be tested based on the sampling parameter signal;

[0129] A processing flow signal is generated, and based on the processing flow signal, the volatile organic compound monitoring unit is controlled to perform various purge and trap procedures on the liquid to be tested.

[0130] In one embodiment, the second monitoring module 520 is further configured to:

[0131] Send an injection signal to the odor substance monitoring unit, and trigger the odor substance monitoring unit to inject the liquid to be tested into a sample bottle containing a pre-filled salt reagent based on the injection signal;

[0132] Generate temperature control parameters, and based on the temperature control parameters, control the odor substance monitoring unit to maintain the sample bottle at the target temperature;

[0133] The timing parameters are generated, and the odor substance monitoring unit is controlled to maintain the sample bottle at the target temperature for the duration corresponding to the timing parameters before performing the extraction operation.

[0134] In one embodiment, the odor detection unit includes a robotic arm assembly; the second monitoring module 520 is further configured to:

[0135] Before sending the liquid injection signal to the odor substance monitoring unit, a first scheduling instruction is generated, and based on the first scheduling instruction, the robotic arm assembly is controlled to move the sample bottle to the capping station and perform the capping action.

[0136] Upon detecting that the odor substance monitoring unit has completed liquid injection, a second scheduling command is generated, and the sample bottle is controlled to be sealed based on the second scheduling command.

[0137] A third scheduling instruction is generated, and based on the third scheduling instruction, the robotic arm assembly is controlled to move the sealed sample bottle to the temperature control station, so as to control the odor substance monitoring unit to maintain the sample bottle at the target temperature based on the temperature control parameters.

[0138] In one embodiment, the odor substance monitoring unit includes an extraction component; the sample injection control module 530 is further configured to:

[0139] Generate an injection displacement command, and based on the injection displacement command, control the extraction component of the analytical sample adsorbed with the odor substance to move and insert into the injection port of the gas chromatography-mass spectrometry instrument;

[0140] A desorption control signal is generated, and based on the desorption control signal, the extraction component is controlled to perform a high-temperature desorption action for a preset duration in the sample inlet port, so as to introduce the odor substance analysis sample into the gas chromatography-mass spectrometry instrument for the detection of the odor substance.

[0141] In one embodiment, the injection control module 530 is further configured to:

[0142] Acquire the spectral data of volatile organic compounds and odor substances uploaded by the gas chromatography-mass spectrometry instrument;

[0143] Based on pre-stored quantitative algorithm models for volatile organic compounds and odor substances, the spectral data of volatile organic compounds and odor substances are analyzed to obtain detection and analysis results.

[0144] Each module in the aforementioned liquid substance detection device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0145] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for detecting liquid substances.

[0146] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0147] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0148] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0149] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0150] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0151] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0152] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0153] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for detecting liquid substances, characterized in that, The method includes: The obtained test liquid is subjected to a first pretreatment related to the detection of volatile organic compounds. The volatile organic compounds in the sample obtained by the first pretreatment are detected by gas chromatography-mass spectrometry in the monitoring system. During the detection of volatile organic compounds, the liquid to be tested undergoes a second pretreatment related to the detection of odor substances through the odor substance monitoring unit in the monitoring system. The operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry (GC-MS) instrument is monitored. If the second pretreatment and the detection of volatile organic compounds are determined to be completed based on the monitoring results, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the GC-MS instrument for odor substance detection.

2. The method according to claim 1, characterized in that, The monitoring system also includes a volatile organic compound monitoring unit; The first pretreatment of the acquired test liquid, related to the detection of volatile organic compounds, includes: A sampling parameter signal is generated, and the volatile organic compound monitoring unit is controlled to extract a preset volume of the liquid to be tested based on the sampling parameter signal; A processing flow signal is generated, and based on the processing flow signal, the volatile organic compound monitoring unit is controlled to perform various purge and trap procedures on the liquid to be tested.

3. The method according to claim 1, characterized in that, The second pretreatment related to odor substance detection is performed on the liquid to be tested by the odor substance monitoring unit in the monitoring system, including: Send an injection signal to the odor substance monitoring unit, and trigger the odor substance monitoring unit to inject the liquid to be tested into a sample bottle containing a pre-filled salt reagent based on the injection signal; Generate temperature control parameters, and based on the temperature control parameters, control the odor substance monitoring unit to maintain the sample bottle at the target temperature; The timing parameters are generated, and the odor substance monitoring unit is controlled to maintain the sample bottle at the target temperature for the duration corresponding to the timing parameters before performing the extraction operation.

4. The method according to claim 3, characterized in that, The odor substance monitoring unit includes a robotic arm assembly; The second pretreatment related to odor substance detection of the test liquid by the odor substance monitoring unit in the monitoring system further includes: Before sending the liquid injection signal to the odor substance monitoring unit, a first scheduling instruction is generated, and based on the first scheduling instruction, the robotic arm assembly is controlled to move the sample bottle to the capping station and perform the capping action. Upon detecting that the odor substance monitoring unit has completed liquid injection, a second scheduling command is generated, and the sample bottle is controlled to be sealed based on the second scheduling command. A third scheduling instruction is generated, and based on the third scheduling instruction, the robotic arm assembly is controlled to move the sealed sample bottle to the temperature control station, so as to control the odor substance monitoring unit to maintain the sample bottle at the target temperature based on the temperature control parameters.

5. The method according to claim 1, characterized in that, The odor substance monitoring unit includes an extraction component; The triggering of the odor substance monitoring unit will import the odor substance analysis sample obtained from the second pretreatment into the gas chromatography-mass spectrometry instrument for odor substance detection, including: Generate an injection displacement command, and based on the injection displacement command, control the extraction component of the analytical sample adsorbed with the odor substance to move and insert into the injection port of the gas chromatography-mass spectrometry instrument; A desorption control signal is generated, and based on the desorption control signal, the extraction component is controlled to perform a high-temperature desorption action for a preset duration in the sample inlet port, so as to introduce the odor substance analysis sample into the gas chromatography-mass spectrometry instrument for the detection of the odor substance.

6. The method according to claim 1, characterized in that, The method further includes: Acquire the spectral data of volatile organic compounds and odor substances uploaded by the gas chromatography-mass spectrometry instrument; Based on pre-stored quantitative algorithm models for volatile organic compounds and odor substances, the spectral data of volatile organic compounds and odor substances are analyzed to obtain detection and analysis results.

7. A liquid substance detection device, characterized in that, The device includes: The first monitoring module is used to perform a first pretreatment related to the detection of volatile organic compounds on the acquired liquid to be tested, and to detect the volatile organic compounds in the volatile organic compound analysis sample obtained by the first pretreatment by using a gas chromatography-mass spectrometry instrument in the monitoring system. The second monitoring module is used to perform a second pretreatment related to odor substance detection on the liquid to be tested through the odor substance monitoring unit in the monitoring system during the detection of volatile organic compounds. The sample injection control module is used to monitor the operating status of the odor substance monitoring unit and the gas chromatography-mass spectrometry instrument. If the second pretreatment and the detection of volatile organic compounds are determined to be completed according to the monitoring results, the odor substance monitoring unit is triggered to import the odor substance analysis sample obtained from the second pretreatment into the gas chromatography-mass spectrometry instrument for odor substance detection.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

Images