Lampblack waste gas pollutant detection and calibration system
By using the oil fume and exhaust pollutant detection and calibration system, and combining pollutant and environmental data, the calibration standards for pollutant detection instruments are optimized, solving the problem of difficulty in determining calibration timing and standards, and improving detection accuracy and the effectiveness of environmental supervision.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-08
- Publication Date
- 2026-04-03
AI Technical Summary
In existing technologies, the calibration timing and standards for pollutant detection instruments are difficult to determine comprehensively, resulting in large detection errors and failing to meet environmental protection requirements.
Design a system for detecting and calibrating pollutants in oily fume exhaust gas, including a pollution detection module, a detection calibration module, and a calibration optimization module. Through periodic detection and environmental data analysis, the system intelligently and comprehensively analyzes pollutants and environmental factors to optimize calibration standards.
This has enabled more rational calibration of pollutant detection instruments, reduced detection errors, and improved detection accuracy and the effectiveness of environmental supervision.
Smart Images
Figure CN121784231A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of detection and calibration technology, and more specifically, to a detection and calibration system for oil fume pollutants. Background Technology
[0002] In recent years, to meet environmental protection requirements, the monitoring of oily fumes from factories and restaurants has become a key task for ecological and environmental departments in various regions. Oily fumes contain various pollutants, necessitating corresponding types of pollutant detection instruments. However, factors such as time, other pollutants, and environmental influences can cause errors in these instruments, necessitating regular recalibration. Determining the optimal calibration timing and standards for these instruments remains a pressing issue. Summary of the Invention
[0003] To address the shortcomings of existing technologies, the present invention aims to provide a system for detecting and calibrating pollutants in oil fume exhaust gas.
[0004] To achieve the above objectives, the present invention provides the following technical solution:
[0005] A system for detecting and calibrating pollutants in oily fume exhaust gas includes a pollution detection module, a detection calibration module, and a calibration optimization module;
[0006] The pollution detection module is based on a preset cycle. At each cycle node, it controls various pollutant detection instruments to detect pollutants in the oil fume exhaust gas. At the same time, at each cycle node, it detects the environment around the oil fume exhaust gas and generates environmental data.
[0007] When the number of historical calibrations of the pollutant detection instrument is less than m, the detection calibration module performs calibration processing on the pollutant detection instrument by combining pollutant detection and environmental data.
[0008] When the number of historical calibrations of the pollutant detection instrument is greater than or equal to m, the calibration optimization module gradually optimizes the calibration standard of the pollutant detection instrument based on the calibration log.
[0009] Furthermore, at each cycle node, various pollutant detection instruments are controlled to detect pollutants in the oil fume exhaust gas. Specifically, at each cycle node, pollutant concentration data of various pollutants are obtained, and concentration threshold data of various pollutants are set. When the pollutant concentration data is greater than or equal to the concentration threshold data, the pollutant is marked as an excessive pollutant. The difference between the concentration data of the excessive pollutant and the concentration threshold data is calculated to obtain the concentration overflow value. The pollutant type of the excessive pollutant is obtained, and a pollution impact log of various pollutant detection instruments is generated. The pollution impact log includes the number of pollutant types excluding self-pollutants, the total concentration overflow value excluding self-pollutants, and the detection time.
[0010] Furthermore, the number of pollutants exceeding the standard is the number of pollutants other than those detected by the pollutant detection instrument, and the concentration overflow of pollutants exceeding the standard is the sum of the concentration overflow values of pollutants other than those detected by the pollutant detection instrument.
[0011] Furthermore, at each cycle node, the environment around the oil fume exhaust is monitored to generate environmental data. Specifically, the environmental data is used as input data for the environmental monitoring model to obtain an environmental score. An environmental score threshold is set, and when the environmental score is greater than or equal to the environmental score threshold, the environmental data is marked as abnormal environmental data.
[0012] Furthermore, the environmental detection model is obtained by acquiring multiple sets of environmental data, using the environmental data as training data for the neural network model, assigning environmental scores to the training data, and iteratively training the training data using training and validation sets to obtain the environmental detection model. The larger the environmental score, the greater the deviation between the current environmental data and the normal environmental data.
[0013] Furthermore, the pollutant detection instruments are calibrated by integrating pollutant detection data and environmental data. Specifically, the external calibration values of the pollutant detection instruments are obtained, and external calibration thresholds are set. When the external calibration value is greater than or equal to the external calibration threshold, the pollutant detection instrument is calibrated, and a calibration log for the pollutant detection instrument is generated simultaneously. The calibration log includes the instrument error value, calibration interval, and calibration duration.
[0014] Furthermore, the external calibration values of pollutant detection instruments are obtained through the following steps: The number of excluding self-contamination types in the pollution impact log for each period after the last calibration of the same pollutant detection instrument is obtained and marked as WLX; the total overflow value of excluding self-contamination concentration in the pollution impact log for each period after the last calibration of the pollutant detection instrument is obtained and marked as ZYZ; and the values are then calculated using the formula... Obtain the impact log value WRj from the pollution impact log. i Let i be the number of the pollution impact log, i = 1, 2, ..., n, where a1 is the quantity coefficient of the pollutant type excluding itself, a2 is the total spillover coefficient of the concentration of excluding itself, and all pollution impact logs of the pollutant detection instrument since the last calibration are collected. The detection time of all pollution impact logs is sorted in chronological order. The time difference between two adjacent detection times after sorting is calculated to obtain the pollution impact interval. All pollution impact intervals are summed and averaged to obtain the average pollution impact interval, which is marked as WYG. The impact log value coefficient is set to FW. The total number of times the environmental data is marked as abnormal environmental data since the last calibration is obtained and marked as YCS. The formula is used to... The external calibration value BDYZ of the pollutant detection instrument is obtained, where b1 is the abnormal environment frequency coefficient and b2 is the pollution impact isolation coefficient.
[0015] Furthermore, the calibration standards of the pollutant detection instruments are gradually optimized based on the calibration logs. Specifically, when the historical calibration count of the pollutant detection instrument is greater than or equal to m times, the reasonable calibration value in the calibration log is obtained. All reasonable calibration values of the same pollutant detection instrument before the current system time are obtained. All reasonable calibration values are sorted according to the chronological order of the calibration logs. The difference between the next adjacent reasonable calibration value and the previous reasonable calibration value is calculated to obtain the calibration variation value. When the calibration variation value is greater than 0, it is marked as a calibration increment. All calibration increment values are summed and averaged to obtain the total calibration increment value, which is marked as ZZP. The total number of times the calibration variation value is marked as a calibration increment value is obtained and marked as SWG. When the calibration variation value is greater than or equal to m times, the total calibration increment value is calculated. When the value is less than 0, the calibration variable is marked as a calibration decrement. All calibration decrements are summed and averaged to obtain the total calibration decrement, which is marked as FBT. The total number of times the calibration variable is marked as a calibration decrement is obtained and marked as ZQA. The calibration adjustment value BT is obtained using the formula BT=ZZP×d1+SWG×d2-FBT×d3-ZQA×d4. A high calibration adjustment value and a low calibration adjustment value are set, where the high calibration adjustment value is greater than the low calibration adjustment value. When the calibration adjustment value is greater than or equal to the high calibration adjustment value, the external factor calibration threshold of the pollutant detector is increased. When the calibration adjustment value is less than or equal to the low calibration adjustment value, the external factor calibration threshold of the pollutant detector is decreased. When the calibration adjustment value is between the high calibration adjustment value and the low calibration adjustment value, no corresponding processing is performed.
[0016] Furthermore, the reasonable calibration value of the calibration log is obtained through the following steps: the instrument error value of the calibration log is marked as WCZ, the calibration interval of the calibration log is marked as JGZ, and the calibration duration of the calibration log is marked as BDS. The reasonable calibration value HLZ of the calibration log is obtained using the formula HLZ=WCZ×c1+JGZ×c2+BDS×c3, where c1 is the instrument error value coefficient, c2 is the calibration interval coefficient, and c3 is the calibration duration coefficient.
[0017] Compared with the prior art, the present invention has the following beneficial effects:
[0018] 1. The system includes a pollution detection module and a detection calibration module, which can intelligently and comprehensively analyze the pollutant influencing factors and environmental factors of various pollutant detection instruments, and customize reasonable calibration standards for various pollutant detection instruments.
[0019] 2. Set up a calibration optimization module to comprehensively analyze the calibration logs of pollutant detection instruments, gradually optimize the calibration standards of pollutant detection instruments, and ensure that the calibration timing of pollutant detection instruments is more reasonable. Attached Figure Description
[0020] Figure 1 This is a schematic diagram of the detection and calibration module of the present invention.
[0021] Figure 2 This is a schematic diagram of the calibration and optimization module of the present invention. Detailed Implementation
[0022] Example 1
[0023] Reference Figures 1-2 A system for detecting and calibrating pollutants in oily fume exhaust gas includes a pollution detection module, a detection calibration module, and a calibration optimization module.
[0024] The pollution detection module is based on a preset cycle. At each cycle node, it controls various pollutant detection instruments (including but not limited to polycyclic aromatic hydrocarbon detectors, benzo[a]pyrene detectors, and sulfide detectors) to detect pollutants in the oil fume exhaust gas. At the same time, at each cycle node, it detects the environment around the oil fume exhaust gas and generates environmental data (including but not limited to the temperature, humidity, and pressure of the environment around the oil fume exhaust gas).
[0025] After detection, pollutant concentration data for various pollutants are obtained. Concentration thresholds are set for each pollutant. When a pollutant concentration is greater than or equal to its threshold, it is marked as an excessive pollutant. The difference between the excessive pollutant concentration and the threshold is calculated to obtain the concentration overflow value. The pollutant type of the excessive pollutant is then identified, and a pollution impact log for each pollutant detection instrument is generated. The pollution impact log includes the number of pollutant types excluding those detected by the instrument, the total concentration overflow value excluding those detected by the instrument, and the detection time. The number of pollutant types excluding those detected by the instrument is the number of excessive pollutants. The concentration overflow value excluding those detected by the instrument is the sum of the concentration overflow values of all excessive pollutants. Excessively high concentrations of other pollutants can also affect the detection accuracy of the instrument.
[0026] Environmental data is used as input data for an environmental monitoring model to obtain an environmental score. An environmental score threshold is set; when the environmental score is greater than or equal to the threshold, the environmental data is marked as abnormal; when the environmental score is less than the threshold, no action is taken. The environmental monitoring model is obtained as follows: multiple sets of environmental data are acquired (environmental data can be obtained experimentally or from historical measurements; each set of environmental data includes temperature, humidity, and pressure measured at the same time). This environmental data is used as training data for a neural network model. Environmental scores are assigned to the training data, and the model is iteratively trained using training and validation sets to obtain the environmental monitoring model. A higher environmental score indicates a greater deviation between the current environmental data and normal environmental data (e.g., a large deviation in temperature from normal temperature will result in a higher environmental score; similarly, large deviations in both temperature and humidity from normal temperatures and humidity will result in a higher environmental score).
[0027] For example: If, under the detection conditions of the polycyclic aromatic hydrocarbon (PAH) detector, benzo[a]pyrene (BAR) detector, and sulfide detector, PAH and BAR are detected as exceeding pollutant standards in the current cycle, then the number of pollutant types excluding benzo[a]pyrene in the pollution impact log of the PAH detector is one (i.e., BAR), and the total concentration overflow of excluding benzo[a]pyrene is the concentration overflow of BAR. The number of pollutant types excluding benzo[a]pyrene in the pollution impact log of the BAR detector is one (i.e., PAH), and the total concentration overflow of excluding benzo[a]pyrene is the concentration overflow of PAH. The number of pollutant types excluding benzo[a]pyrene in the pollution impact log of the sulfide detector is two (i.e., PAH and BAR), and the total concentration overflow of excluding benzo[a]pyrene is the sum of the concentration overflows of PAH and BAR.
[0028] Concentration threshold data for various pollutants are obtained through experiments or multiple actual measurements. For example, when the concentration data of polycyclic aromatic hydrocarbons (PAHs) is greater than or equal to the concentration threshold data of PAHs, it indicates that the concentration of PAHs exceeds the standard.
[0029] When the historical calibration count of the pollutant detector is less than m times (the historical calibration count is the total number of calibrations of the pollutant detector before the current system time), the detection calibration module acquires the external factor calibration value of the pollutant detector at each cycle node, sets the external factor calibration threshold, and performs calibration processing on the pollutant detector when the external factor calibration value is greater than or equal to the external factor calibration threshold, and synchronously generates the calibration log of the pollutant detector. The calibration log includes the instrument error value (the instrument error value is the instrument error that exists between before and after calibration), the calibration interval (the calibration interval is the time interval between the previous calibration), and the calibration duration (the calibration duration is the time consumed from the start to the end of calibration). When the external factor calibration value is less than the external factor calibration threshold, no corresponding processing is performed.
[0030] The external calibration values of pollutant detection instruments are obtained through the following steps: Obtain the number of excluding toxic pollutant types in the pollution impact log for each period after the last calibration of the same pollutant detection instrument, and label it as WLX; obtain the total excluding toxicant concentration overflow value in the pollution impact log for each period after the last calibration of the same pollutant detection instrument, and label it as ZYZ; and then use the formula... Obtain the impact log value WRj from the pollution impact log. i Let i be the number of the pollution impact log, i = 1, 2, ..., n, where a1 is the quantity coefficient of the pollutant type excluding the pollutant, a2 is the total spillover coefficient of the excluding the pollutant concentration, a1 is 0.87, and a2 is 0.58. Collect all pollution impact logs of the pollutant detection instrument since the last calibration, sort all pollution impact logs by detection time in chronological order, calculate the time difference between adjacent detection times after sorting to obtain the pollution impact interval, sum all pollution impact intervals and take the average to obtain the average pollution impact interval, and label it as WYG. Set the impact log value coefficient as FW, W = 1, 2, 3, ..., W; F1 < F2 < F3 < ... < FW, and set the range of the impact log value corresponding to each impact log value coefficient, including (0, WR1). i ],(WR1 i WR2 i ],…,(WRj-1 i WRj i ], when WRj i ∈(0,WR1) i When [the value is], the corresponding impact log value coefficient is taken as F1. The total number of times the environmental data has been marked as abnormal environmental data since the last calibration is obtained and marked as YCS. The formula is then used to [calculate the result]. The external calibration value BDYZ of the pollutant detection instrument is obtained, where b1 is the abnormal environment frequency coefficient and b2 is the pollution impact isolation coefficient, with b1 taking the value of 1.23 and b2 taking the value of 0.98.
[0031] By setting up pollution detection and calibration modules, it is possible to intelligently and comprehensively analyze the pollutant influencing factors and environmental factors of various pollutant detection instruments, and customize reasonable calibration standards for various pollutant detection instruments.
[0032] When the historical calibration count of a pollutant detector is greater than or equal to m, the calibration optimization module obtains the reasonable calibration value from the calibration log. It then obtains all reasonable calibration values for the same pollutant detector up to the current system time, sorts these values chronologically according to the calibration log, and calculates the difference between the next and previous reasonable calibration values to obtain the calibration variation. When the variation is greater than 0, it is marked as a calibration increment. All calibration increments are summed and averaged to obtain the total calibration increment, marked as ZZP. The module also obtains the total number of times the variation is marked as a calibration increment, marked as SWG. When the variation is less than 0, it is marked as a calibration decrement. All calibration decrements are summed and averaged to obtain the total calibration decrement, marked as FBT. The total number of calibration depreciation values is recorded as ZQA. The calibration adjustment value BT is obtained using the formula BT=ZZP×d1+SWG×d2-FBT×d3-ZQA×d4, where d1 is the total calibration increment coefficient, d2 is the calibration increment coefficient, d3 is the total calibration depreciation coefficient, and d4 is the calibration depreciation coefficient. The values of d1 are 0.79, d2 are 0.42, d3 are 0.78, and d4 are 0.43. A calibration high-adjustment value and a calibration low-adjustment value are set. The calibration high-adjustment value is greater than the calibration low-adjustment value. When the calibration adjustment value is greater than or equal to the calibration high-adjustment value, the external factor calibration threshold of the pollutant detector is increased. When the calibration adjustment value is less than or equal to the calibration low-adjustment value, the external factor calibration threshold of the pollutant detector is decreased. When the calibration adjustment value is between the calibration high-adjustment value and the calibration low-adjustment value, no corresponding action is taken.
[0033] The reasonable calibration value of the calibration log is obtained through the following steps: Mark the instrument error value of the calibration log as WCZ, mark the calibration interval of the calibration log as JGZ, and mark the calibration duration of the calibration log as BDS. Use the formula HLZ=WCZ×c1+JGZ×c2+BDS×c3 to obtain the reasonable calibration value HLZ of the calibration log, where c1 is the instrument error value coefficient, c2 is the calibration interval coefficient, and c3 is the calibration duration coefficient. The value of c1 is 0.08, the value of c2 is 0.57, and the value of c3 is 0.39.
[0034] A calibration optimization module is set up to comprehensively analyze the calibration logs of pollutant detection instruments, gradually optimize the calibration standards of pollutant detection instruments, and ensure that the calibration timing of pollutant detection instruments is more reasonable.
[0035] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.
[0036] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.
[0037] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0038] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0039] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0040] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0041] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0042] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A system for detecting and calibrating pollutants in oily fume exhaust gas, characterized in that, It includes a pollution detection module, a detection calibration module, and a calibration optimization module; The pollution detection module is based on a preset cycle. At each cycle node, it controls various pollutant detection instruments to detect pollutants in the oil fume exhaust gas. At the same time, at each cycle node, it detects the environment around the oil fume exhaust gas and generates environmental data. When the number of historical calibrations of the pollutant detection instrument is less than m, the detection calibration module performs calibration processing on the pollutant detection instrument by combining pollutant detection and environmental data. When the number of historical calibrations of the pollutant detection instrument is greater than or equal to m, the calibration optimization module adjusts the calibration standard of the pollutant detection instrument according to the calibration log.
2. The oil fume exhaust pollutant detection and calibration system according to claim 1, characterized in that, At each cycle node, various pollutant detection instruments are controlled to detect pollutants in the oil fume exhaust gas. Specifically, at each cycle node, pollutant concentration data of various pollutants are obtained, and concentration threshold data of various pollutants are set. When the pollutant concentration data is greater than or equal to the concentration threshold data, the pollutant is marked as an excessive pollutant. The difference between the concentration data of the excessive pollutant and the concentration threshold data is calculated to obtain the concentration overflow value. The pollutant type of the excessive pollutant is obtained, and a pollution impact log of various pollutant detection instruments is generated. The pollution impact log includes the number of pollutant types excluding self-pollutants, the total concentration overflow value excluding self-pollutants, and the detection time.
3. The oil fume exhaust pollutant detection and calibration system according to claim 2, characterized in that, The number of pollutants exceeding the standard is the number of pollutants other than those detected by the pollutant detection instrument. The concentration overflow of pollutants exceeding the standard is the sum of the concentration overflow values of pollutants other than those detected by the pollutant detection instrument.
4. The oil fume exhaust pollutant detection and calibration system according to claim 1, characterized in that, At each cycle node, the environment around the oil fume exhaust is monitored to generate environmental data. Specifically, the environmental data is used as input data for the environmental monitoring model to obtain an environmental score. An environmental score threshold is set, and when the environmental score is greater than or equal to the environmental score threshold, the environmental data is marked as abnormal environmental data.
5. The oil fume exhaust pollutant detection and calibration system according to claim 4, characterized in that, The environmental detection model is obtained by acquiring multiple sets of environmental data, using the environmental data as training data for the neural network model, assigning environmental scores to the training data, and iteratively training the training data using training and validation sets to obtain the environmental detection model. The larger the environmental score, the greater the deviation between the current environmental data and the normal environmental data.
6. The oil fume exhaust pollutant detection and calibration system according to claim 5, characterized in that, The pollutant detection instrument is calibrated by combining pollutant detection data and environmental data. Specifically, at each cycle node, the external factor calibration value of the pollutant detection instrument is obtained, and an external factor calibration threshold is set. When the external factor calibration value is greater than or equal to the external factor calibration threshold, the pollutant detection instrument is calibrated, and a calibration log of the pollutant detection instrument is generated simultaneously. The calibration log includes the instrument error value, calibration interval, and calibration duration.
7. The oil fume exhaust pollutant detection and calibration system according to claim 6, characterized in that, The external calibration values of pollutant detection instruments are obtained through the following steps: Obtain the number of excluding toxic pollutant types in the pollution impact log for each period after the last calibration of the same pollutant detection instrument, and label it as WLX; obtain the total excluding toxicant concentration overflow value in the pollution impact log for each period after the last calibration of the same pollutant detection instrument, and label it as ZYZ; and then use the formula... Obtain the impact log value WRj from the pollution impact log. i Let i be the number of the pollution impact log, i = 1, 2, ..., n, where a1 is the quantity coefficient of the pollutant type excluding itself, a2 is the total spillover coefficient of the concentration of excluding itself, and all pollution impact logs of the pollutant detection instrument since the last calibration are collected. The detection time of all pollution impact logs is sorted in chronological order. The time difference between two adjacent detection times after sorting is calculated to obtain the pollution impact interval. All pollution impact intervals are summed and averaged to obtain the average pollution impact interval, which is marked as WYG. The impact log value coefficient is set to FW. The total number of times the environmental data is marked as abnormal environmental data since the last calibration is obtained and marked as YCS. The formula is used to... The external calibration value BDYZ of the pollutant detection instrument is obtained, where b1 is the abnormal environment frequency coefficient and b2 is the pollution impact isolation coefficient.
8. The oil fume exhaust pollutant detection and calibration system according to claim 1, characterized in that, The calibration standards of pollutant detection instruments are adjusted according to the calibration log. Specifically, when the historical calibration count of a pollutant detection instrument is greater than or equal to m times, the reasonable calibration value in the calibration log is obtained. All reasonable calibration values of the same pollutant detection instrument before the current system time are obtained. All reasonable calibration values are sorted according to the chronological order of the calibration log. The difference between the next adjacent reasonable calibration value and the previous reasonable calibration value is calculated to obtain the calibration variable value. When the calibration variable value is greater than 0, it is marked as a calibration increment. All calibration increments are summed and averaged to obtain the total calibration increment value, which is marked as ZZP. The total number of times the calibration variable value is marked as a calibration increment value is obtained and marked as SWG. When the calibration variable value is less than 0... When the calibration variable is marked as a calibration decrease, all calibration decreases are summed and averaged to obtain the total calibration decrease, which is marked as FBT. The total number of times the calibration variable is marked as a calibration decrease is obtained and marked as ZQA. The calibration adjustment value BT is obtained using the formula BT=ZZP×d1+SWG×d2-FBT×d3-ZQA×d4. A high calibration adjustment value and a low calibration adjustment value are set, where the high calibration adjustment value is greater than the low calibration adjustment value. When the calibration adjustment value is greater than or equal to the high calibration adjustment value, the external factor calibration threshold of the pollutant detector is increased. When the calibration adjustment value is less than or equal to the low calibration adjustment value, the external factor calibration threshold of the pollutant detector is decreased. When the calibration adjustment value is between the high calibration adjustment value and the low calibration adjustment value, no corresponding processing is performed.
9. The oil fume exhaust pollutant detection and calibration system according to claim 8, characterized in that, The reasonable calibration value of the calibration log is obtained through the following steps: The instrument error value in the calibration log is marked as WCZ, the calibration interval is marked as JGZ, and the calibration duration is marked as BDS. The reasonable calibration value HLZ of the calibration log is obtained using the formula HLZ = WCZ × c1 + JGZ × c2 + BDS × c3, where... c1 is the instrument error coefficient, c2 is the calibration interval coefficient, and c3 is the calibration duration coefficient.