Calibration monitoring methods, devices, systems, equipment and media

Abstract

The present application relates to a calibration monitoring method, device, system, equipment and medium, wherein the monitoring method comprises: obtaining the real-time emission data of the flue gas pollutants; determining the calibration type of the real-time emission data according to a preset type standard, wherein different calibration types correspond to different calibration judgment standards; judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type. The above calibration monitoring method can not only automatically determine the calibration type, but also intelligently avoid fraud in the calibration process, ensuring that the entire process of CEMS introducing standard gas is truly qualified, so as to ensure the accuracy of CEMS measurement, greatly reducing the supervision cost of the CEMS calibration process, and improving the timeliness and accuracy of monitoring.

Description

Technical Field

[0001] The present application relates to the field of flue gas emission technology, and in particular to a calibration monitoring method, device, system, equipment and medium. Background Art

[0002] The Continuous Emission Monitoring System (CEMS), also known as the "continuous flue gas monitoring system" or "online flue gas monitoring system", refers to a device that continuously monitors the concentration and total amount of gaseous pollutants and particulate matter emitted by air pollution sources and transmits the information to the competent authorities in real time. CEMS must be calibrated regularly with different standard gases to ensure the accuracy of CEMS measurements.

[0003] However, the calibration process of CEMS is completed by external service personnel, and the only way for users to verify the calibration process is to supervise the entire process on site or to perform manual comparison after the calibration is completed. This process cannot be effectively verified and consumes a lot of manpower and material resources. In addition, if the calibration process is unqualified, it will cause irreparable losses. Therefore, it is urgent to provide a calibration monitoring method to save manpower and material resources while timely monitoring whether the calibration process is truly qualified. Summary of the invention

[0004] The present application provides a calibration monitoring method, device, system, equipment and medium, which can timely determine whether the calibration process of CEMS is qualified, so as to save time and labor costs and improve the accuracy of CEMS in measuring flue gas emissions.

[0005] According to some embodiments, one aspect of the present application provides a calibration monitoring method for determining whether a calibration process of an automatic flue gas monitoring system is qualified, the calibration monitoring method comprising: obtaining real-time emission data of flue gas pollutants; determining a calibration type of the real-time emission data according to a preset type standard, wherein different calibration types correspond to different calibration judgment standards; and determining whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type.

[0006] In the calibration monitoring method in the above embodiment, by obtaining the real-time emission data of each flue gas pollutant and determining which calibration type to perform next, the emission data of the flue gas pollutants of this calibration type are judged for the calibration process, so as to determine whether the calibration process of the flue gas pollutants of this calibration type is qualified, and to monitor the calibration process of the CEMS system, it can overcome the problem that the calibration results can only be obtained through manual monitoring or comparison in traditional technology. In the monitoring of the calibration process of the CEMS system by traditional technology, a lot of time is generally wasted and human supervision must be used, and the complete calibration process cannot be monitored, and unqualified calibration behavior cannot be discovered in time, which is easy to cause irreparable losses, low efficiency and high cost; the calibration monitoring method provided by the present application can not only automatically determine the calibration type, but also intelligently avoid fraud in the calibration process, ensure that the entire process of CEMS introducing standard gas is truly qualified, so as to ensure the accuracy of CEMS measurement, greatly reduce the supervision cost of the CEMS calibration process, and improve the timeliness and accuracy of monitoring.

[0007] In some of the embodiments, the step of determining the calibration type of the real-time emission data according to a preset type standard includes: determining whether the operating status of the real-time emission data is a maintenance status; when it is detected that the operating status is a maintenance status, determining the calibration type of the real-time emission data according to the maintenance status, the calibration type including a range zero point calibration type and a full system calibration type.

[0008] In some of the embodiments, the step of determining the calibration type of real-time emission data according to the maintenance status includes: determining whether the calibration processes of the range zero calibration type and the full system calibration type within a first preset time period are qualified; if the calibration process of the range zero calibration type is unqualified and the calibration process of the full system calibration is qualified, determining that the current calibration type is the range zero calibration type; if the calibration process of the range zero calibration type is qualified and the calibration process of the full system calibration type is unqualified, determining that the current calibration type is the full system calibration type.

[0009] In some of the embodiments, the first preset time period is associated with the current time T0, the number of days TT between two consecutive full system calibrations, and the number of days TH0 between two consecutive range zero point calibrations.

[0010] In some embodiments, the first preset time period is [T0-(TT-TH0)-2, T0-(TT-TH0)+2].

[0011] In some of the embodiments, the step of judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type includes: if the calibration type is a range zero calibration type, judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the range zero calibration type; if the calibration type is a full system calibration type, judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the full system calibration type.

[0012] Another aspect of the embodiment of the present application provides a calibration monitoring device, including a data acquisition module, a type judgment module and a calibration monitoring module. The data acquisition module is used to obtain real-time emission data of flue gas pollutants; the type judgment module is used to determine the calibration type of the real-time emission data according to a preset type standard, wherein different calibration types correspond to different calibration judgment standards; the calibration monitoring module is used to determine whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type.

[0013] In the calibration monitoring device in the above embodiment, after the data acquisition module obtains the real-time emission data of each flue gas pollutant, the type judgment module determines which calibration type to perform next, and the calibration monitoring module performs calibration process judgment on the emission data of the flue gas pollutants of this calibration type, and determines whether the calibration process of the flue gas pollutants of this calibration type is qualified, so as to monitor the calibration process of the CEMS system, so as to overcome the problem that the calibration results can only be obtained through manual monitoring or comparison in traditional technology. The calibration monitoring device provided by the present application uses the type judgment module to automatically judge the calibration type, and can also intelligently avoid fraud in the calibration process through the calibration monitoring module, so as to ensure that the entire process of the CEMS introducing the standard gas is authentic and qualified, so as to ensure the accuracy of the CEMS measuring the emission data of flue gas pollutants.

[0014] Another aspect of the embodiments of the present application provides a calibration monitoring system, including an automatic flue gas monitoring system and a calibration monitoring device as described in any one of the embodiments of the present application. The automatic flue gas monitoring system is used to monitor the real-time emission data of flue gas pollutants; the calibration monitoring device as described in any one of the embodiments of the present application is connected to the automatic flue gas monitoring system to determine whether the calibration process of the automatic flue gas monitoring system is qualified.

[0015] Another aspect of an embodiment of the present application provides a calibration monitoring device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the calibration monitoring method described in any one of the embodiments of the present application are implemented.

[0016] Another aspect of the embodiments of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the calibration monitoring method described in any one of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, they can also obtain drawings of other embodiments based on these drawings without paying any creative work.

[0018] Figure 1-Figure 4 A schematic diagram of the flow of the calibration monitoring method provided in different embodiments of the present application. DETAILED DESCRIPTION

[0019] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the relevant drawings. The preferred embodiments of the present application are provided in the drawings. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0021] In the case of using “including”, “having”, and “comprising” described herein, another component may be added unless a clear limiting term such as “only”, “consisting of”, etc. is used. Unless mentioned otherwise, a term in the singular form may include a plural form and should not be construed as being one in number.

[0022] According to the "Stationary Pollution Source Flue Gas (SO2, NO X "Technical Specifications for Continuous Monitoring of Flue Gas (SO2, NO XAccording to the relevant requirements of "Technical Requirements and Detection Methods for Continuous Monitoring Systems of Emissions of Particulate Matter (PM2.5) (HJ76-2017), the continuous flue gas monitoring system CEMS must regularly introduce zero-point standard gas and high-concentration standard gas to calibrate the zero point of the range; and regularly introduce standard gas of different concentrations to calibrate the whole system; so as to ensure the accuracy of CEMS measurement. However, the above calibration and calibration are usually completed by external service personnel, and users or owners cannot effectively verify their processes. If the calibration is unqualified but not discovered in time, it will cause great losses to the owner. Traditional technology generally verifies and monitors the calibration process mainly by the owner's technical personnel supervising the calibration process throughout the process, checking the calibration ledger after the calibration is completed, or checking the calibration gas cylinders retained on site after the calibration is completed. However, the above verification methods are all in the stage of manual verification. For the calibration process of dozens of times a year and several hours each time, this method will consume a lot of cost and time. In addition, the above verification method cannot completely verify all aspects of the calibration process, and cannot timely discover unqualified calibration processes, which is easy to cause a lot of losses.

[0023] Based on the above technical problems, the present application provides a calibration monitoring method, device, system, equipment and medium, which can timely determine whether the calibration process of CEMS is qualified, so as to save time and labor costs, and improve the accuracy of CEMS in measuring flue gas emissions.

[0024] As an example, see Figure 1 In one aspect, the present application provides a calibration monitoring method for determining whether the calibration process of the flue gas automatic monitoring system is qualified. The calibration monitoring method includes:

[0025] Step S2: obtaining real-time emission data of flue gas pollutants;

[0026] Step S4: determining the calibration type of the real-time emission data according to a preset type standard, wherein different calibration types correspond to different calibration judgment standards;

[0027] Step S6: Determine whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type.

[0028] In step S2, see Figure 1 In step S2, different types of real-time emission data of flue gas pollutants in CEMS can be obtained according to the types of flue gas pollutants. The types of real-time emission data include but are not limited to the concentration values ​​of flue gas pollutants and the operating status reported by CEMS, wherein the operating status may include maintenance status, communication interruption status, abnormal furnace temperature status, thermocouple failure status, etc.

[0029] As an example, the flue gas pollutant factors may include SO2 (sulfur dioxide), CO (carbon monoxide), HCl (hydrogen chloride), NO x(nitrogen oxides) or O2 (oxygen), wherein NO x It may include one or more of N2O (nitrous oxide), NO (nitrogen monoxide), NO2 (nitrogen dioxide), N2O3 (nitrogen trioxide) and N2O4 (nitrous oxide).

[0030] As an example, the real-time emission data may be stored in a data storage module, which may store all real-time emission data collected in at least the last three years, including but not limited to concentration values ​​of flue gas pollutants and operating status reported by the CEMS.

[0031] In the calibration monitoring method in the above embodiment, by obtaining the real-time emission data Xi of each flue gas pollutant factor and determining which calibration type to be performed next, the emission data of the real-time emission data Xi of the flue gas pollutant factor of this calibration type is judged for the calibration process, and whether the calibration process of the real-time emission data Xi of the flue gas pollutant factor of this calibration type is qualified, so as to monitor the calibration process of the CEMS system, which can overcome the problem that the calibration results can only be obtained through manual monitoring or comparison in traditional technology. In the monitoring of the calibration process of the CEMS system by traditional technology, a lot of time is generally wasted and human supervision must be used, and the complete calibration process cannot be monitored, and unqualified calibration behavior cannot be discovered in time, which is easy to cause irreparable losses, low efficiency and high cost; the calibration monitoring method provided by the present application can not only automatically determine the calibration type, but also intelligently avoid fraudulent behavior in the calibration process, ensure that the entire process of CEMS passing the standard gas is truly qualified, so as to ensure the accuracy of CEMS measurement, greatly reduce the supervision cost of the CEMS calibration process, and improve the timeliness and accuracy of monitoring.

[0032] As an example, see Figure 2 The step of determining the calibration type of the real-time emission data according to the preset type standard in step S4 includes:

[0033] Step S41: determining whether the operation state of the real-time emission data is a maintenance state;

[0034] Step S42: When it is detected that the operation state is the maintenance state, the calibration type of the real-time emission data is determined according to the maintenance state, and the calibration type includes a range zero point calibration type and a full system calibration type.

[0035] In step S42, refer to Figure 2 In step S42, when it is detected that the operation state is the maintenance state, the CEMS uploads the real-time emission data to the ecological environment department without interrupting the uploading action.

[0036] As an example, see Figure 3The step of determining the calibration type of the real-time emission data according to the maintenance status in step S42 includes:

[0037] Step S421: determining whether the calibration process of the range zero point calibration type and the whole system calibration type within the first preset time period is qualified;

[0038] Step S422a: if the calibration process of the range zero point calibration type fails and the calibration process of the full system calibration passes, then the current calibration type is determined to be the range zero point calibration type;

[0039] Step S422b: If the calibration process of the range zero calibration type is qualified and the calibration process of the full system calibration type is unqualified, it is determined that the current calibration type is the full system calibration type.

[0040] As an example, according to the different standard gas concentrations used to calibrate the real-time emission data Xi of the flue gas pollutant factor, the calibration process can be divided into high-concentration range calibration XHi, medium-concentration range calibration XMi, low-concentration range calibration XLi and zero-point calibration X0i of high-purity N2 (nitrogen). The range zero-point calibration XH0i is the high-concentration range calibration plus the zero-point calibration, and it is defined that XH0i=1 indicates that the range zero-point calibration process is qualified, and XH0i=0 indicates that the range zero-point calibration process is unqualified. The full system calibration XTi is the high-concentration range calibration, the medium-concentration range calibration, the low-concentration range calibration plus the zero-point calibration. The purpose is to calibrate the entire system through which the gas passes in the CEMS, so as to ensure that all links of the system are in normal working condition, and it is defined that XTi=1 indicates that the full system calibration process is qualified, and XTi=0 indicates that the full system calibration process is unqualified.

[0041] As an example, the high-concentration standard gas may be a standard gas of 80%-100% of the full scale, the medium-concentration standard gas may be a standard gas of 50%-60% of the full scale, the low-concentration standard gas may be a standard gas of 20%-30% of the full scale, and the high-purity N2 (nitrogen) may be N2 of 99.99%-99.9999%. Specifically, the high concentration may be 80%, 90%, 95% or 100%, etc., the medium concentration may be 50%, 53%, 57% or 60%, etc., the low concentration may be 20%, 24%, 28% or 30%, etc., and the high-purity N2 (nitrogen) concentration may be 99.99%, 99.999% or 99.9999%, etc.

[0042] In step S421, step S422a and step S422b, please refer to Figure 3Step S421, step S422a and step S422b in the above, the specific process of step S421 may include: searching for the range zero calibration XH01i value and the full system calibration XT1i value within the first preset time period when the operation state was detected to be the maintenance state last time, and making the following logical judgment: if XH01i=0 and XT1i=1, then the current calibration type is determined to be the range zero calibration type, and the range zero calibration XH0i should be performed next; if XH01i=1 and XT1i=0, then the current calibration type is determined to be the full system calibration type, and the full system calibration XTi should be performed next. The above steps can automatically identify whether the current CEMS maintenance is the range zero calibration type or the full system calibration type, so as to facilitate the management and monitoring of the automatic monitoring calibration process.

[0043] As an example, the first preset time period is associated with the current time T0, the number of days TT between two adjacent full system calibrations, and the number of days TH0 between two adjacent range zero point calibrations.

[0044] As an example, according to the "Stationary Pollution Source Flue Gas (SO2, NO X "Technical Specifications for Continuous Monitoring of Flue Gas (SO2, NO X According to the CEMS calibration maintenance and spare parts replacement standards formulated in HJ76-2017, "Technical Requirements and Detection Methods for Continuous Monitoring Systems for Emissions of Air, Gas and Particulate Matter", each detection factor must be calibrated and maintained as follows: Depending on the type of instrument, a zero-point calibration should be performed at least once every 7 or 15 days, and the time should be controlled within 45 to 60 minutes; specifically, the time for each zero-point calibration can be 45 minutes, 50 minutes, 55 minutes or 60 minutes, etc. The entire system should be calibrated at least once every three months or six months, and the above three months are 91 days, and the time should be controlled within 180 to 240 minutes; specifically, the time for each full-system calibration can be 180 minutes, 200 minutes, 220 minutes or 240 minutes, etc.

[0045] As an example, the first preset time period is [T0-(TT-TH0)-2, T0-(TT-TH0)+2].

[0046] As an example, see Figure 4 In step S6, the step of judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type includes:

[0047] Step S61a: If the calibration type is the range zero point calibration type, determine whether the calibration process is qualified according to the calibration judgment standard corresponding to the range zero point calibration type;

[0048] Step S61b: If the calibration type is the full system calibration type, determine whether the calibration process is qualified according to the calibration judgment standard corresponding to the full system calibration type.

[0049] In step S61a, refer to Figure 4 In step S61a, the calibration judgment standard includes the high-concentration range calibration judgment standard and the zero-point calibration judgment standard. The high-concentration range calibration judgment standard includes: if the real-time emission data Xi of the flue gas pollutant factor meets the following conditions at the same time: ①dXi / dt>=0, ②Xi>1.05*X0, ③When dXi / dt=0, Xi>80%*Ri, then it is the high-concentration range calibration of the real-time emission data Xi of the qualified flue gas pollutant factor. The zero-point calibration judgment standard includes: if the real-time emission data Xi of the flue gas pollutant factor meets the following conditions at the same time: ①dXi / dt<=0, ②Xi<0.95*X0, ③When dXi / dt=0, Xi>=0%*Ri, then it is the zero-point calibration of the real-time emission data Xi of the qualified flue gas pollutant factor.

[0050] As an example, the process of judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the range zero point calibration type in step S61a may include the following steps: if the above high-concentration range calibration judgment standard and zero point calibration judgment standard are met once respectively, then the calibration process of the real-time emission data Xi of the flue gas pollutant factor is qualified, that is, XH0i=1; otherwise, XH0i=0, so as to intelligently avoid the fraudulent behavior of the range zero point calibration and ensure that the entire process of the CEMS introducing the standard gas is truly completed and qualified.

[0051] As an example, when XH0i=0, an alarm signal is issued so that the user can immediately receive the alarm signal, understand the problems in the calibration process in time and take corresponding measures to avoid losses due to unqualified calibration and improve the accuracy of emission detection.

[0052] In the above and other embodiments of the present application, X0 is the smaller value of the 24-hour emission average of the real-time emission data Xi of the flue gas pollutant factor and the average value of the real-time emission data one hour before the operating state is detected to be the maintenance state; t is time, and the unit of t is s (seconds); Ri is the upper limit of the range of the real-time emission data Xi of the flue gas pollutant factor.

[0053] As an example, by repeating steps S61a and S61b for the real-time emission data Xi of all flue gas pollutant factors, it can be determined whether the calibration process of the real-time emission data Xi of all flue gas pollutant factors is qualified.

[0054] In step S61b, refer to Figure 4In step S61b, the calibration judgment criteria include high-concentration range calibration judgment criteria, medium-concentration range calibration judgment criteria, low-concentration range calibration judgment criteria, and zero-point calibration judgment criteria. The high-concentration range calibration judgment criteria include: if the real-time emission data Xi of the flue gas pollutant factor simultaneously satisfies the following conditions: ① dXi / dt >= 0, ② Xi > 1.05 * X0, ③ when dXi / dt = 0, Xi > 80% * Ri, then it is a qualified high-concentration range calibration of the real-time emission data Xi of the flue gas pollutant factor. The medium-concentration range calibration judgment criteria include: if the real-time emission data Xi of the flue gas pollutant factor simultaneously satisfies the following conditions: ① dXi / dt >= 0, ② Xi > X0, ③ when dXi / dt = 0, 65% * Ri > Xi > 45% * Ri, then it is a qualified medium-concentration range calibration of the real-time emission data Xi of the flue gas pollutant factor. The low-concentration range calibration judgment criteria include: if the real-time emission data Xi of the flue gas pollutant factor simultaneously satisfies the following conditions: ① dXi / dt ≠ 0, ② Xi ≠ X0, ③ when dXi / dt = 0, 15% * Ri > Xi > 35% * Ri, then it is a qualified low-concentration range calibration of the real-time emission data Xi of the flue gas pollutant factor. The zero-point calibration judgment criteria include: if the real-time emission data Xi of the flue gas pollutant factor simultaneously satisfies the following conditions: ① dXi / dt <= 0, ② Xi < X0, ③ when dXi / dt = 0, Xi >= 0% * Ri, then it is a qualified zero-point calibration of the real-time emission data Xi of the flue gas pollutant factor. The above process can ensure the authenticity and effectiveness of the flue gas pollutant calibration process of the whole system, and guarantee the accuracy of CEMS measurement.

[0055] As an example, the process of judging whether the calibration process is qualified according to the calibration judgment criteria corresponding to the calibration type of the whole system in step S61b may include the following steps: if the above high-concentration range calibration judgment criteria, medium-concentration range calibration judgment criteria, low-concentration range calibration judgment criteria, and zero-point calibration judgment criteria are respectively qualified once, then the calibration process of the real-time emission data Xi of the flue gas pollutant factor is qualified, that is, XTi = 1; otherwise, XTi = 0, so as to intelligently avoid the false behavior of the whole system calibration and ensure that the whole process of CEMS introducing standard gas is truly and qualifiedly completed.

[0056] As an example, when XTi = 0, an alarm signal is sent, so that the user can immediately receive the alarm signal, can timely understand the problems occurring in the calibration process and take corresponding measures, so as to avoid losses caused by unqualified calibration and improve the accuracy of emission detection.

[0057] As an example, the alarm signal is selected from a screen alarm signal, a light alarm signal, a voice alarm signal, and a combination thereof. The alarm signal is a signal sent by a computer display device, a sound device, an indicator light, etc., which can prompt the user that the calibration process is abnormal so that the user can take corresponding measures in time.

[0058] The following examples are specifically described using the calibration monitoring method described in the above examples of the present application, wherein the entire process of CEMS calibration monitoring of a waste incineration plant is used as a reference, and the specific process is as follows:

[0059] The CEMS of a waste incineration plant is an extractive gaseous pollutant measurement CEMS without automatic calibration function. According to the "Stationary Pollution Source Flue Gas (SO2, NO X According to the Technical Specification for Continuous Monitoring of Emissions of 2,000 MW and 100 MW of Particulate Matter (PM2.5) (HJ75-2017), the zero point calibration should be performed at least once every 7 days, and the whole system calibration should be performed at least once every three months. The CEMS flue gas pollutant factors in waste incineration plants include SO2, CO, HCl, NO x As shown in Tables 1 to 3 below, Table 1 is the real-time emission data Xi of flue gas pollutant factors in CEMS under normal operation of the waste incineration plant, among which NO x The real-time emission data of NO and NO2 are calculated by combining the real-time emission data of NO and NO2. Table 2 shows the range of relevant flue gas pollutant factors, among which NO x The measurement range is divided into respective ranges for NO and NO2; Table 3 shows the emission limits of pollutant factors in flue gas from waste incineration.

[0060] Table 1

[0061]

[0062] Table 2

[0063]

[0064] Table 3

[0065]

[0066] According to the "Stationary Pollution Source Flue Gas (SO2, NO X According to the provisions of "Technical Specifications for Continuous Monitoring of Emissions of CEMS and Particulate Matter)" HJ75-2017, the required number of days for the CEMS range zero point calibration and full system calibration is shown in Table 4.

[0067] Table 4

[0068]

[0069] It can be seen from Table 4 that the interval between two consecutive full system calibrations is TT = 91 days, and the interval between two consecutive range zero point calibrations is TH0 = 7 days.

[0070] Since the real-time emission data Xi of all flue gas pollutant factors follow the same monitoring method, only SO2 is selected as a monitoring example (i=SO2), and the calibration monitoring process of other flue gas pollutant factors is not repeated.

[0071] When the operation state is maintenance state, the average value of the real-time emission data Xi of the flue gas pollutant factor in the previous hour is taken out and assigned to X0, that is, X0 = 9.2 (mg / m 3 ); at the same time, set the current time, for example, 14:00 on April 17, 2022, as T0; and find the time when the operation status was last detected as maintenance status, between T0-(TT-TH0)+2, that is, January 15, 2022, and T0-(TT-TH0)-2, that is, January 19, 2022, and record XH0i and XTi as XH01i and XT1i respectively, and make the following logical judgment: if XH01i=0 and XT1i=1, then the range zero point calibration XH0i should be performed this time; if XH01i=1 and XT1i=0, then the full system calibration XTi should be performed this time.

[0072] When the range zero point calibration XH0i is to be performed this time, the range calibration is performed with standard gas of 80%-100% of the full scale, and the zero point calibration is performed with zero gas, i.e., 99.999% concentration of N2; the standard gas is shown in Table 5.

[0073] Table 5

[0074]

[0075] The following logic automatic judgment process is performed: If the real-time emission data Xi of SO2 meets the following conditions at the same time: ①dXi / dt>=0, ②Xi>1.05*X0=1.05*9.2=9.7, ③When dXi / dt=0, Xi>80%*Ri=80%*714=571.2, then it is a qualified range calibration of SO2. If the real-time emission data Xi of SO2 meets the following conditions at the same time: ①dXi / dt<=0, ②Xi<95%*X0=95%*9.2=8.7, ③When dXi / dt=0, Xi>=0%*714=0, then it is a qualified zero point calibration of SO2.

[0076] When the above range calibration and zero point calibration processes are qualified once respectively, the range zero point calibration of the real-time emission data Xi of SO2 is qualified, that is, XH0i=1, otherwise, XH0i=0.

[0077] When the values ​​of all range zero point calibrations XH0i are 1, the current range zero point calibration is qualified; otherwise, an alarm signal is issued for the flue gas pollutant factor of the unqualified range zero point calibration XH0i.

[0078] When the whole system is to be calibrated, use 80%-100% full scale standard gas, 50%-60% full scale standard gas, 20%-30% full scale standard gas and zero gas to calibrate the whole system; the standard gases are shown in Table 6.

[0079] Table 6

[0080]

[0081] The following logic automatic judgment process is performed: If the real-time emission data Xi of SO2 meets the following conditions at the same time: ①dXi / dt>=0, ②Xi>1.05*X0=1.05*9.2=9.7, ③When dXi / dt=0, Xi>80%*Ri=80%*714=571.2, then it is a qualified SO2 high concentration range calibration. If the real-time emission data Xi of SO2 meets the following conditions at the same time: ①dXi / dt>=0, ②Xi>X0=9.2, ③When dXi / dt=0, 65%*Ri>Xi>45%*Ri, that is, 464.1>Xi>321.3, then it is a qualified SO2 medium concentration range calibration. If the real-time emission data Xi of SO2 meets the following conditions at the same time: ①dXi / dt≠0, ②Xi≠X0=9.2, ③when dXi / dt=0, 35%*Ri>Xi>15%*Ri, that is, 249.9>Xi>107.1, it is a qualified low-concentration range calibration of SO2. If the real-time emission data Xi of SO2 meets the following conditions at the same time: ①dXi / dt<=0, ②Xi<95%*X0=95%*9.2=8.7, ③when dXi / dt=0, Xi>=0%*714=0, it is a qualified zero-point calibration of SO2.

[0082] When the above high concentration range calibration judgment standard, medium concentration range calibration judgment standard, low concentration range calibration judgment standard and zero point calibration judgment standard are qualified once respectively, the whole process calibration of the real-time emission data Xi of SO2 is qualified, that is, XTi=1, otherwise, XTi=0.

[0083] When the standard gas is more than one group of flue gas pollutant factors and N2, the above logic process is repeated for the real-time emission data Xi of all flue gas pollutants to obtain the full system calibration XTi value of all flue gas pollutant factors. When the standard gas contains all or part of the flue gas pollutant factors and N2, it is only necessary to repeat the above logic process for the real-time emission data Xi of the uncalibrated flue gas pollutants to obtain the full system calibration XTi value of all flue gas pollutant factors.

[0084] When the XTi of the real-time emission data Xi of all flue gas pollutants is 1, the whole system calibration is qualified; otherwise, an alarm signal is issued for the flue gas pollutant factor of the unqualified whole system calibration XTi.

[0085] As an example, the present application provides a calibration monitoring device on the other hand, including a data acquisition module, a type judgment module and a calibration monitoring module. The data acquisition module is used to obtain real-time emission data of flue gas pollutants; the type judgment module is used to determine the calibration type of the real-time emission data according to a preset type standard, wherein different calibration types correspond to different calibration judgment standards; the calibration monitoring module is used to determine whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type.

[0086] In the calibration monitoring device in the above embodiment, after the data acquisition module obtains the real-time emission data of each flue gas pollutant factor, the type judgment module determines which calibration type to perform next, and the calibration monitoring module performs calibration process judgment on the emission data of the flue gas pollutant factor of this calibration type, and determines whether the calibration process of the flue gas pollutant of this calibration type is qualified, so as to monitor the calibration process of the CEMS system, so as to overcome the problem that the calibration results can only be obtained through manual monitoring or comparison in traditional technology. The calibration monitoring device uses the type judgment module to automatically determine the calibration type, and can also intelligently avoid fraud in the calibration process through the calibration monitoring module, so as to ensure that the entire process of CEMS introducing standard gas is authentic and qualified, so as to ensure the accuracy of CEMS measuring flue gas pollutant emission data.

[0087] As an example, the data acquisition module also includes a data storage module, which stores real-time emission data Xi of flue gas pollutant factors. The data storage module can store real-time emission data Xi of all flue gas pollutant factors collected in at least the last three years, including but not limited to concentration values ​​of flue gas pollutants and operating status reported by CEMS, etc.

[0088] As an example, the calibration monitoring module also includes an alarm module. When XH0i=0, the alarm module sends an alarm signal, and the alarm signal is selected from a screen alarm signal, a light alarm signal, a voice alarm signal, and a combination thereof. The alarm signal is a signal sent by a computer display device, an audio device, or an indicator light, etc., which can prompt the user that the calibration process is abnormal so that the user can take corresponding measures in time.

[0089] As an example, another aspect of the present application provides a calibration monitoring system, including an automatic flue gas monitoring system and a calibration monitoring device as described in any one of the embodiments of the present application. The automatic flue gas monitoring system is used to monitor the real-time emission data of flue gas pollutants; the calibration monitoring device as described in any one of the embodiments of the present application is connected to the automatic flue gas monitoring system to determine whether the calibration process of the automatic flue gas monitoring system is qualified.

[0090] As an example, the present application also provides a calibration monitoring device, including a memory and a processor, the memory stores a computer program, and the processor implements the steps of the calibration monitoring method described in any one of the embodiments of the present application when executing the computer program.

[0091] As an example, on another aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the calibration monitoring method described in any one of the embodiments of the present application.

[0092] As an example, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any one of the above-mentioned semiconductor structure preparation methods.

[0093] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include non-volatile, volatile memory or a combination thereof. 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), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM) or graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include a relational database, a non-relational database, or a combination thereof. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, or a data processing logic device based on quantum computing, etc., but are not limited thereto.

[0094] In the calibration monitoring method, device, system, equipment and medium in the above-mentioned embodiments, by acquiring the real-time emission data of flue gas pollutants in CEMS in real time, and performing trend calculation on the calibration process data of each flue gas pollutant factor when the operating state is the maintenance state, it is possible to qualitatively determine whether it meets the qualified calibration process, and issue an alarm in time for the unqualified calibration process. Through the CEMS calibration monitoring method provided by the present application, it is possible to automatically identify whether the current CEMS maintenance is a range zero point calibration type or a full system calibration type, which provides a basis for automatically monitoring the calibration process, and intelligently avoids fraudulent behavior in the calibration process, ensuring that the entire process of CEMS introducing standard gas is truly completed in a qualified manner, so as to ensure the accuracy of CEMS measurement and avoid losses. In addition, the present application can greatly reduce the supervision cost of the CEMS range zero point calibration process and the full system calibration process, and enhance the timeliness and effectiveness of the monitoring process.

[0095] Please note that the above embodiments are for illustrative purposes only and are not intended to limit the present application.

[0096] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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 specification.

[0097] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the disclosed patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A calibration monitoring method, characterized in that: Used to determine whether the calibration process of the flue gas automatic monitoring system is qualified, the monitoring method includes: Obtain real-time emission data of flue gas pollutants; Determining the calibration type of the real-time emission data according to a preset type standard, wherein different calibration types correspond to different calibration judgment standards; The step of determining whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type; and determining the calibration type of the real-time emission data according to the preset type standard comprises: Determining whether the operation state of the real-time emission data is a maintenance state; When it is detected that the operation state is the maintenance state, the calibration type of the real-time emission data is determined according to the maintenance state, and the calibration type includes a range zero point calibration type and a full system calibration type; the full system calibration is a high concentration range calibration, a medium concentration range calibration, a low concentration range calibration plus a zero point calibration; the range zero point calibration is a high concentration range calibration plus a zero point calibration; The step of determining the calibration type of the real-time emission data according to the maintenance status comprises: Determine whether the calibration process of the range zero point calibration type and the whole system calibration type within a first preset time period is qualified; If the calibration process of the range zero calibration type is unqualified and the calibration process of the full system calibration is qualified, the current calibration type is determined to be the range zero calibration type; if the calibration process of the range zero calibration type is qualified and the calibration process of the full system calibration type is unqualified, the current calibration type is determined to be the full system calibration type; The first preset time period is associated with the current time T0, the interval number of days TT between two consecutive full system calibrations, and the interval number of days TH0 between two consecutive range zero point calibrations; The first preset time period includes [T0-(TT-TH0)-2, T0-(TT-TH0)+2].

2. The calibration monitoring method according to claim 1, characterized in that: The step of judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type includes: If the calibration type is a range zero point calibration type, judging whether the calibration process is qualified according to the calibration judgment standard corresponding to the range zero point calibration type; If the calibration type is a full-system calibration type, whether the calibration process is qualified is determined according to a calibration judgment standard corresponding to the full-system calibration type.

3. A calibration monitoring device, characterized in that: include: A data acquisition module, used to obtain real-time emission data of flue gas pollutants; A type judgment module is used to determine the calibration type of the real-time emission data according to a preset type standard, wherein different calibration types correspond to different calibration judgment standards; the calibration types include range zero calibration type and full system calibration type; full system calibration is high concentration range calibration, medium concentration range calibration, low concentration range calibration plus zero calibration; range zero calibration is high concentration range calibration plus zero calibration; A calibration monitoring module, used to determine whether the calibration process is qualified according to the calibration judgment standard corresponding to the calibration type; The type judgment module is also used for: Determining whether the operation state of the real-time emission data is a maintenance state; When it is detected that the operation state is the maintenance state, it is determined whether the calibration process of the range zero calibration type and the full system calibration type within the first preset time period is qualified; if the calibration process of the range zero calibration type is unqualified and the calibration process of the full system calibration is qualified, it is determined that the current calibration type is the range zero calibration type; if the calibration process of the range zero calibration type is qualified and the calibration process of the full system calibration type is unqualified, it is determined that the current calibration type is the full system calibration type; The first preset time period is associated with the current time T0, the interval between two consecutive full system calibrations TT, and the interval between two consecutive range zero point calibrations TH0; the first preset time period includes [T0-(TT-TH0)-2, T0-(TT-TH0)+2].

4. A calibration monitoring system, characterized in that: include: Automatic flue gas monitoring system, used to monitor the real-time emission data of flue gas pollutants; as well as The calibration monitoring device described in claim 3 is connected to the automatic smoke monitoring system and is used to determine whether the calibration process of the automatic smoke monitoring system is qualified.

5. A calibration monitoring device, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the calibration monitoring method according to any one of claims 1 to 2 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the calibration monitoring method according to any one of claims 1 to 2 are implemented.

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