Data multi-source check abnormity alarm system suitable for acid rain detector

Abstract

The invention belongs to the field of acid rain detection, relates to a data analysis technology, is used for solving the problem that the checking necessity of equipment cannot be evaluated and analyzed in the prior art, and particularly relates to a data multi-source checking abnormity alarm system suitable for an acid rain detector. The abnormity monitoring platform is in communication connection with a checking module, a screening analysis module, a key checking module and a storage module; the checking module is used for carrying out regular checking on the acid rain observation equipment; a checking period is generated, and pH meters and conductivity meters of all the acid rain observation equipment are checked in sequence through an acid rain checking instrument at the starting moment of the checking period; according to the invention, the acid rain observation equipment can be regularly checked and verified, the detection precision of the pH meters and the conductivity meters of all the acid rain observation equipment is checked and analyzed at the starting moment of each checking period, and when the detection precision does not meet the requirement, an abnormal alarm is given in time.

Description

Technical Field

[0001] The invention belongs to the field of acid rain detection, relates to data analysis technology, and specifically is a data multi-source verification abnormal alarm system suitable for an acid rain detector. Background Art

[0002] The acid rain detector is an instrument used to detect inorganic ions in acid rain. It uses inline technology and sequential suppression technology, and can sample once and analyze inorganic ions in acid rain quickly and efficiently. In order to ensure the observation accuracy, it is necessary to calibrate the station's acid rain detector on-site to check whether the measurement performance of the pH meter and conductivity meter on the acid rain observation equipment meets the business requirements and ensure that the observation data is accurate and reliable.

[0003] The invention patent with announcement number CN116561090A discloses an abnormal alarm method and system applied to nucleic acid detectors. The abnormal alarm method determines the abnormal alarm output information corresponding to the operation stability test log, so as to combine the alarm evaluation coefficients of multiple abnormal cause labels of the nucleic acid detector and multiple classification probability value information to determine the abnormal alarm output information of the nucleic acid detector, thereby improving the reliability of the abnormal alarm of the nucleic acid detector; however, the abnormal alarm method cannot evaluate and analyze the necessity of equipment verification, resulting in the inability to guarantee the target accuracy of sampling verification. In order to ensure the accuracy of the verification, all equipment can only be verified each time, but this will lead to low verification efficiency and low utilization of verification resources.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a data multi-source verification abnormal alarm system suitable for an acid rain detector, which is used to solve the problem that the prior art cannot evaluate and analyze the necessity of equipment verification;

[0006] The technical problem to be solved by the present invention is: how to provide a data multi-source verification abnormal alarm system suitable for acid rain detectors that can evaluate and analyze the necessity of equipment verification.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A data multi-source verification abnormal alarm system applicable to an acid rain detector includes an abnormal monitoring platform, wherein the abnormal monitoring platform is communicatively connected with a verification and validation module, a screening and analysis module, a key verification module, and a storage module;

[0009] The verification module is used to perform regular verification and inspection on the acid rain observation equipment: generate a verification cycle, and at the beginning of the verification cycle, check the pH meters and conductivity meters of all acid rain observation equipment in turn through the acid rain verification instrument. When all the verification parameters of the pH meter and the conductivity meter meet the metrological performance requirements, it is determined that the detection accuracy of the acid rain observation equipment meets the requirements, and the corresponding acid rain observation equipment is marked as a qualified object; otherwise, it is determined that the detection accuracy of the acid rain observation equipment does not meet the requirements, and the corresponding acid rain observation equipment is marked as an abnormal object, and an operation abnormality signal is generated and sent to the mobile phone terminal of the manager through the abnormal monitoring platform;

[0010] The screening and analysis module is used to perform key screening and analysis on the acid rain observation equipment: obtain the temperature deviation data WS and humidity deviation data SS of the qualified object when it is checked and perform numerical calculation to obtain the environmental anomaly coefficient HY of the qualified object, and arrange the qualified objects in descending order according to the values ​​of the environmental anomaly coefficient HY to obtain the environmental anomaly sequence; perform standardization on the verification parameters of the pH meter and the conductivity meter to obtain the acid-base error value and the conductivity error value; obtain the actual acid-base value and the actual conductivity of the standard solution when the qualified object is checked and mark them as acid-base data and conductivity data respectively; perform key screening and matching on the pH meter and the conductivity meter respectively and mark the acid-base verification basis and the conductivity verification basis;

[0011] The key verification module is used to perform key sampling verification and analysis on acid rain observation equipment within the verification period.

[0012] Furthermore, the verification parameters of the pH meter include the voltage range indication error of the electric meter, the pH range indication error of the electric meter, the instrument indication error and the instrument indication repeatability, and the verification parameters of the conductivity meter include the electronic unit repeatability, the electronic unit reference error and the instrument reference error.

[0013] Furthermore, the process of obtaining the temperature deviation data WS includes: obtaining the operating temperature range of the acid rain observation equipment, marking the average value of the maximum value and the minimum value of the operating temperature range as the temperature standard value, and marking the absolute value of the difference between the air temperature value when the qualified object is checked and the temperature standard value as the temperature deviation data WS; the process of obtaining the humidity deviation data SS includes: obtaining the operating humidity range of the acid rain observation equipment, marking the average value of the maximum value and the minimum value of the operating humidity range as the humidity standard value, and marking the absolute value of the difference between the air humidity value when the qualified object is checked and the humidity standard value as the humidity deviation data SS.

[0014] Furthermore, the specific process of focusing on screening and matching the pH meters includes: arranging the qualified objects in order of acid-base error values ​​from large to small to obtain an acid-base error sequence, arranging the qualified objects in order of acid-base data values ​​from large to small to obtain an acid-base actual sequence, marking the absolute value of the serial number difference between the qualified objects in the acid-base error sequence and the acid-base actual sequence as the acid-base influence value of the qualified object, summing and averaging the acid-base influence values ​​of all qualified objects to obtain the acid-base influence coefficient, marking the absolute value of the serial number difference between the qualified objects in the acid-base error sequence and the environmental abnormality sequence as the environmental acid-base value of the qualified object, summing and averaging the environmental acid-base values ​​of all qualified objects to obtain the environmental acid-base coefficient, comparing the acid-base influence coefficient with the environmental acid-base coefficient and marking the acid-base verification basis through the comparison result.

[0015] Furthermore, the specific process of comparing the acid-base influence coefficient with the environmental acid-base coefficient includes: if the acid-base influence coefficient is less than the environmental acid-base coefficient, the acid-base influence is marked as the basis for the acid-base verification of the acid rain detector during the verification period; otherwise, the environmental influence is marked as the basis for the acid-base verification of the acid rain detector during the verification period.

[0016] Furthermore, the data processing method of the conductivity verification based on the labeling process is the same as the data processing method of the acid-base verification based on the labeling process.

[0017] Furthermore, the specific process of the key verification module conducting key sampling verification and analysis on the acid rain observation equipment within the verification period includes: dividing the verification period into several random inspection periods, obtaining the environmental anomaly coefficient HY, pH monitoring value and conductivity monitoring value of the environment in which all acid rain observation equipment are located at the end of the random inspection period; if the acid-base verification basis of the acid rain detector during the verification period is environmental impact, then the pH meters of the L1 acid-base observation equipment with the largest environmental anomaly coefficient HY value are marked as the acid-base calibration objects of the random inspection period; if the acid-base verification basis of the acid rain detector during the verification period is acid-base impact, then the L1 acid-base observation equipment with the largest pH monitoring value and the pH meter of the abnormal object are marked as the acid-base calibration objects of the random inspection period; at the end of the random inspection period, the acid-base accuracy of the acid-base calibration object is verified by the acid rain verification instrument.

[0018] Furthermore, the specific process of the key verification module conducting key sampling verification and analysis on the acid rain observation equipment during the verification period also includes: if the conductivity verification basis of the acid rain detector during the verification period is environmental impact, the conductivity meters of the L1 acid-base observation equipment with the largest environmental anomaly coefficient HY value are marked as the conductivity verification objects during the spot check period; if the conductivity verification basis of the acid rain detector during the verification period is conductivity impact, the conductivity meters of the L1 acid-base observation equipment with the largest conductivity monitoring value and the abnormal object are marked as the conductivity verification objects during the spot check period; at the end of the spot check period, the conductivity accuracy of the conductivity verification objects is verified by the acid rain verification instrument.

[0019] The present invention has the following beneficial effects:

[0020] 1. The verification and calibration module can be used to perform regular verification and calibration of acid rain observation equipment. At the beginning of each verification cycle, the detection accuracy of pH meters and conductivity meters of all acid rain observation equipment can be verified and analyzed. When it is found that the detection accuracy does not meet the requirements, an abnormal alarm will be issued in time, and the acid rain observation equipment with abnormal operation will be calibrated or repaired;

[0021] 2. Through the screening and analysis module, the acid rain observation equipment can be screened and analyzed. According to the group verification analysis results at the beginning of the verification period, the acid-base verification basis and the conductivity verification basis are marked respectively. According to the acid-base verification basis and the conductivity verification basis, the pH meter and conductivity meter that need to be checked during the sampling verification are screened, taking into account the selection accuracy of the sampling verification objects and the utilization rate of the verification resources;

[0022] 3. Through the key verification module, the acid rain observation equipment can be sampled and verified during the verification period, and the key screening tendency of the pH meter and conductivity meter in the acid rain observation equipment can be analyzed. The acid-base verification objects and the conductivity verification objects can be screened separately based on their error influencing factors to ensure the rationality of the object selection in the sampling verification and analysis process. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0025] Figure 2 This is a flow chart of checking the acid rain detector according to the first embodiment of the present invention;

[0026] Figure 3 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0027] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Embodiment 1: Figure 1 As shown, a data multi-source verification and abnormal alarm system suitable for an acid rain detector includes an abnormal monitoring platform, and the abnormal monitoring platform is communicatively connected with a verification and validation module, a screening and analysis module, a key verification module and a storage module.

[0029] The verification module is used to perform regular verification and calibration of acid rain observation equipment: generate a verification cycle, and at the beginning of the verification cycle, the pH meters and conductivity meters of all acid rain observation equipment are verified in sequence through the acid rain verification instrument:

[0030] like Figure 2 As shown in the figure, the specific process of verifying the acid rain observation equipment through the acid rain verification instrument includes:

[0031] Step S1: Checking the acid rain detector: When the user ensures that the device has sufficient power, the system will first perform a self-check after powering on to check the operating status of each module in the system; if no abnormality occurs, the display screen will normally enter the main interface for the user to perform verification operations;

[0032] Step S2: Electrode inspection: After the user completes the inspection of the appearance and other subcomponents of the acid rain monitoring system, the user takes out the pH electrode and the conductivity electrode from the analysis system for inspection:

[0033] Step S21: Check the pH electrode: the user needs to confirm that the glass bulb of the composite electrode has no cracks or bursts, and the electrode wiring or plug is clean and dry; the composite electrode is filled with liquid, the liquid junction has no adsorbed impurities, the electrolyte solution can leak normally, and the filter paper is used for wiping inspection. There are wet marks on the filter paper or crystals precipitated at the salt bridge mouth within a certain period of time;

[0034] Step S22: Check the conductivity electrode: After the user removes the conductivity electrode from the analysis system, check whether there are cracks, damage, contamination, etc. on the conductivity electrode; at the same time, confirm that the conductivity electrode plug is clean and dry, and the wire connection is tight and not damaged;

[0035] Step S3: Standard solution preparation:

[0036] Step S31: Prepare pH standard buffer solution:

[0037] A1: Standard buffer solution I: c(C8H5KO4) = 0.05 mol / L, pH = 4.00 (25°C) Weigh 10.12 g of potassium hydrogen phthalate, dissolve in distilled water, transfer to a 1 L volumetric flask and dilute to the mark; you can also purchase commercially available qualified standard buffer solutions and use them according to the instructions;

[0038] A2: Standard buffer solution II: c(Na2HP04)=0.025mol / L, c(KH2PO4)=0.025mol / L, pH=6.86 (25°C); weigh 3.53g of anhydrous disodium hydrogen phosphate and 3.39g of potassium dihydrogen phosphate respectively, dissolve in distilled water, transfer to a 1L volumetric flask and dilute to the mark. You can also buy commercially available qualified standard buffer solutions and use them according to the instructions;

[0039] A3: Standard buffer solution III: c(Na2B4O7)=0.01mol / L, pH=9.18 (25°C); weigh 3.80g sodium tetraborate, dissolve in distilled water, transfer to a 1L volumetric flask and dilute to the mark, and store in a sealed polyethylene bottle; you can also buy commercially available qualified standard buffer solutions and use them according to the instructions;

[0040] A4: pH certified standard substances: pH certified standard substances approved by the metrology department should be used. The pH range of the standard substances is 3 to 10, and the uncertainty is better than or equal to 0.01 (k = 3). Use according to the instructions;

[0041] Step S32: Prepare conductivity standard buffer solution:

[0042] B1: Standard buffer solution I: c(KCl)≈0.01mol / L, EC=1410μS / cm; Weigh 0.7440g of dried potassium chloride, dissolve it in distilled water and transfer it to a 1000mL volumetric flask. Immerse the volumetric flask in a thermostatic bath (20℃±0.2℃) to maintain a constant temperature, dilute to the volumetric flask scale, and mix thoroughly. You can also purchase a commercially available qualified standard buffer solution and use it according to the instructions;

[0043] B2: Standard buffer solution II: c(KCl)≈0.001mol / L, EC=146.6μS / cm; use a 100mL pipette without scale to draw 100mL of 0.01mol / L saturated potassium chloride solution and transfer it into a 1000mL volumetric flask; immerse the volumetric flask in a thermostatic bath (20℃±0.2℃) to maintain a constant temperature, dilute to the volumetric flask scale, and mix thoroughly; you can also purchase commercially available qualified standard buffer solutions and use them according to the instructions;

[0044] B3: EC certified reference material: pH certified reference material approved by the metrology department should be used. Uncertainty better than or equal to 0.03% (k = 2), use according to the instructions;

[0045] Step S4: Equipment connection and reading: The acid rain system monitoring equipment is connected to the acid rain verification instrument through a communication cable; when the meter head is checked, the measuring electrode of the acid rain monitoring system needs to be disconnected from the connecting line of the measuring meter head, and the input end communication cable is connected to the measuring meter head instead of the measuring electrode; then, the signal output port of the measuring meter head is also connected to the input end of the verification instrument through the communication cable, and the meter head reading is transmitted synchronously. When the measurement meter head verification is completed, the communication cable at the output end of the verification instrument needs to be disconnected from the measurement meter head, and the measuring electrode needs to be reconnected to the measurement meter head; after completing the above steps, the measuring electrode is placed in the verification solution, the electrode verification work is carried out, and the verification parameters of the pH meter and the conductivity meter are numerically recorded.

[0046] The verification parameters of the pH meter include the voltage range indication error of the electric meter, the pH range indication error of the electric meter, the instrument indication error and the instrument indication repeatability. The verification parameters of the conductivity meter include the electronic unit repeatability, the electronic unit reference error and the instrument reference error. When all the verification parameters of the pH meter and the conductivity meter meet the metrological performance requirements, it is determined that the detection accuracy of the acid rain observation equipment meets the requirements, and the corresponding acid rain observation equipment is marked as a qualified object; otherwise, it is determined that the detection accuracy of the acid rain observation equipment does not meet the requirements, and the corresponding acid rain observation equipment is marked as an abnormal object, an operation abnormality signal is generated and sent to the mobile terminal of the manager through the abnormal monitoring platform. After receiving the abnormal operation signal, the management personnel will perform operation and maintenance on the abnormal object, and send the operation and maintenance results and the equipment number of the abnormal object to the information management center. The information management center will store and display the operation and maintenance results and the equipment number of the abnormal object, which is convenient for effective equipment screening and maintenance and replacement processing decisions of abnormal equipment, and improve the timeliness of information synchronization of the equipment network formed by the acid rain observation station; at the beginning of each verification cycle, the detection accuracy of the pH meters and conductivity meters of all acid rain observation equipment will be verified and analyzed, and when it is found that the detection accuracy does not meet the requirements, an abnormal alarm will be issued in time, and the acid rain observation equipment with abnormal operation will be calibrated or repaired.

[0047] The screening and analysis module is used to perform key screening and analysis on the acid rain observation equipment: obtain the temperature deviation data WS and humidity deviation data SS when the qualified object is checked, and the process of obtaining the temperature deviation data WS includes: obtaining the operating temperature range of the acid rain observation equipment, marking the average value of the maximum value and the minimum value of the operating temperature range as the temperature standard value, and marking the absolute value of the difference between the air temperature value and the temperature standard value when the qualified object is checked as the temperature deviation data WS; the process of obtaining the humidity deviation data SS includes: obtaining the operating humidity range of the acid rain observation equipment, marking the average value of the maximum value and the minimum value of the operating humidity range as the humidity standard value, and marking the absolute value of the difference between the air humidity value and the humidity standard value when the qualified object is checked as the humidity deviation data SS; through the formula HY = k1 × WS + k2 ×SS×100 to obtain the environmental anomaly coefficient HY of the qualified object, where k1 and k2 are both proportional coefficients. It should be noted that the operating temperature range is generally set to 13℃-33℃, the humidity deviation data SS, the air humidity value and the humidity standard value are all relative humidity, and the operating humidity range is generally set to 30%-85%. Since the operating humidity range has a larger numerical span than the operating humidity range, the temperature deviation degree has a greater impact on the environmental anomaly degree than the humidity deviation degree. In the calculation formula of the environmental anomaly coefficient HY, k1>k2>1; the environmental anomaly coefficient HY indicates the degree of abnormality of the environment in which the acid-base observation equipment is located during the verification. The larger the value of the environmental anomaly coefficient HY, the higher the degree of abnormality of the environment in which the acid-base observation equipment is located, and the higher the probability of abnormal detection accuracy.

[0048] Arrange qualified objects in descending order according to the values ​​of the environmental anomaly coefficient HY to obtain an environmental anomaly sequence; standardize the verification parameters of the pH meter and the conductivity meter: convert the voltage range indication error of the pH meter, the pH range indication error of the pH meter, the instrument indication error, and the instrument indication repeatability according to the metrological performance requirement of 0.01, and then sum them up to obtain the acid-base error value of the qualified object; convert the electronic unit repeatability, electronic unit reference error, and instrument reference error of the conductivity meter according to the metrological performance requirement of 0.5, and then obtain the conductivity error value of the qualified object;

[0049] For example, the metrological performance requirements of various verification parameters of the pH meter are all 0.01 level, so the acid-base error value can be obtained by directly adding the voltage range indication error of the electric meter, the pH range indication error of the electric meter, the instrument indication error and the instrument indication repeatability values; and the metrological performance requirements of the electronic unit repeatability, electronic unit reference error and instrument reference error in the verification parameters of the conductivity meter are 0.2 level, 0.5 level and 0.2 level respectively, then the conductivity error value = 2.5×electronic unit repeatability+electronic unit reference error+2.5×instrument reference error;

[0050] The actual pH value and actual conductivity of the standard solution of the qualified object for verification are obtained and marked as acid-base data and conductivity data respectively; the pH meter is screened and matched: the qualified objects are arranged in the order of acid-base error values ​​from large to small to obtain the acid-base error sequence, the qualified objects are arranged in the order of acid-base data values ​​from large to small to obtain the acid-base actual sequence, the absolute value of the difference between the sequence numbers of the qualified objects in the acid-base error sequence and the acid-base actual sequence is marked as the acid-base influence value of the qualified object, the acid-base influence values ​​of all qualified objects are summed and averaged to obtain the acid-base influence coefficient, the absolute value of the difference between the sequence numbers of the qualified objects in the acid-base error sequence and the environmental abnormality sequence is marked as the environmental pH value of the qualified object, and the environmental pH values ​​of all qualified objects are The environmental acid-base coefficient is obtained by summing and taking the average value, and the acid-base influence coefficient is compared with the environmental acid-base coefficient: if the acid-base influence coefficient is less than the environmental acid-base coefficient, the acid-base influence is marked as the acid-base verification basis of the acid rain detector during the verification period; otherwise, the environmental influence is marked as the acid-base verification basis of the acid rain detector during the verification period; according to the same data processing method, the conductivity verification basis of the acid rain detector during the verification period is marked as conductivity influence or environmental influence; according to the group verification analysis results at the beginning of the verification period, the acid-base verification basis and the conductivity verification basis are marked respectively, and the pH meter and conductivity meter that need to be checked during the sampling verification are screened according to the acid-base verification basis and the conductivity verification basis, taking into account the selection accuracy of the sampling verification objects and the utilization rate of the verification resources.

[0051] The key inspection module is used to conduct key sampling inspection and analysis on acid rain observation equipment within the inspection period: the inspection period is divided into several inspection periods, and the environmental anomaly coefficient HY, pH monitoring value and conductivity monitoring value of the environment in which all acid rain observation equipment are located are obtained at the end of the inspection period. If the acid-base inspection basis of the acid rain detector during the inspection period is environmental impact, the pH meters of the L1 acid-base observation equipment with the largest environmental anomaly coefficient HY value are marked as the acid-base calibration objects of the inspection period; if the acid-base inspection basis of the acid rain detector during the inspection period is acid-base impact, the L1 acid-base observation equipment with the largest pH monitoring value and the pH meter of the abnormal object are marked as the acid-base calibration objects of the inspection period, L1 is a numerical constant, and the specific value of L1 is set by the management personnel; if the conductivity inspection of the acid rain detector during the inspection period is environmental impact, the pH meters of the L1 acid-base observation equipment with the largest pH monitoring value and the abnormal object are marked as the acid-base calibration objects of the inspection period, L1 is a numerical constant, and the specific value of L1 is set by the management personnel; if the conductivity inspection of the acid rain detector during the inspection period is environmental impact, the pH meters of the L1 acid-base observation equipment with the largest pH monitoring value and the abnormal object are marked as the acid-base calibration objects of the inspection period. If the basis is environmental impact, the conductivity meters of the L1 acid-base observation devices with the largest environmental anomaly coefficient HY value are marked as the conductivity verification objects during the spot check period; if the conductivity verification basis of the acid rain detector during the verification period is conductivity impact, the conductivity meters of the L1 acid-base observation devices with the largest conductivity monitoring value and the abnormal objects are marked as the conductivity verification objects during the spot check period; at the end of the spot check period, the acid-base accuracy verification and conductivity accuracy verification are respectively carried out on the acid-base verification objects and the conductivity verification objects through the acid rain verification instrument; during the verification period, the acid rain observation equipment is sampled and verified for key analysis, the key screening tendency of the pH meters and conductivity meters in the acid rain observation equipment is analyzed, and the acid-base verification objects and the conductivity verification objects are screened respectively based on their error influencing factors to ensure the rationality of the object selection in the sampling verification and analysis process.

[0052] Embodiment 2: Figure 3 As shown, the data multi-source verification abnormal alarm method applicable to the acid rain detector includes the following steps:

[0053] Step 1: Regularly check and calibrate the acid rain observation equipment: Generate a verification cycle, and at the beginning of the verification cycle, check the pH meters and conductivity meters of all acid rain observation equipment in turn through the acid rain verification instrument;

[0054] Step 2: Conduct key screening and analysis on acid rain observation equipment: obtain the temperature deviation data WS and humidity deviation data SS of qualified objects during verification and perform numerical calculation to obtain the environmental anomaly coefficient HY of qualified objects, and arrange qualified objects in descending order according to the values ​​of the environmental anomaly coefficient HY to obtain the environmental anomaly sequence; standardize the verification parameters of the pH meter and the conductivity meter to obtain the acid-base error value and the conductivity error value;

[0055] Step 3: Focus on screening and matching the pH meter and the conductivity meter according to the environmental anomaly coefficient HY, the acid-base error value, and the conductivity error value, and mark the acid-base verification basis and the conductivity verification basis;

[0056] Step 4: Conduct key sampling inspection and analysis on acid rain observation equipment during the inspection period: divide the inspection period into several inspection periods, mark the acid-base verification objects and conductivity verification objects at the end of the inspection period, and use the acid rain verification instrument to conduct acid-base accuracy verification and conductivity accuracy verification on the acid-base verification objects and conductivity verification objects respectively.

[0057] The data multi-source verification abnormal alarm system applicable to the acid rain detector generates a verification cycle when working. At the beginning of the verification cycle, the pH meters and conductivity meters of all acid rain observation equipment are verified in turn through the acid rain verification instrument; the temperature deviation data WS and humidity deviation data SS of the qualified objects during the verification are obtained and numerically calculated to obtain the environmental anomaly coefficient HY of the qualified objects, and the qualified objects are arranged in descending order according to the values ​​of the environmental anomaly coefficient HY to obtain the environmental anomaly sequence; the verification parameters of the pH meter and the conductivity meter are standardized to obtain the acid-base error value and the conductivity error value; the pH meter and the conductivity meter are screened and matched according to the environmental anomaly coefficient HY, the acid-base error value and the conductivity error value, and the acid-base verification basis and the conductivity verification basis are marked; the verification cycle is divided into several random inspection periods, and the acid-base verification object and the conductivity verification object are marked at the end of the verification period, and the acid-base accuracy verification and the conductivity accuracy verification are respectively carried out on the acid-base verification object and the conductivity verification object through the acid rain verification instrument.

[0058] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0059] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to the actual situation; such as: formula HY = k1 × WS + k2 × SS × 100; technicians in this field collect multiple groups of sample data and set corresponding environmental anomaly coefficients for each group of sample data; substitute the set environmental anomaly coefficients and the collected sample data into the formula, any two formulas constitute a binary linear equation group, the calculated coefficients are screened and averaged, and the values ​​of k1 and k2 are obtained as 3.17 and 1.32 respectively;

[0060] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding environmental anomaly coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the environmental anomaly coefficient is proportional to the value of the temperature deviation data.

[0061] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0062] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The data multi-source verification abnormal alarm system applicable to acid rain detectors is characterized by: It includes an abnormal monitoring platform, which is communicatively connected to a verification and validation module, a screening and analysis module, a key verification module and a storage module; The verification module is used to perform regular verification and inspection on the acid rain observation equipment: generate a verification cycle, and at the beginning of the verification cycle, check the pH meters and conductivity meters of all acid rain observation equipment in turn through the acid rain verification instrument. When all the verification parameters of the pH meter and the conductivity meter meet the metrological performance requirements, it is determined that the detection accuracy of the acid rain observation equipment meets the requirements, and the corresponding acid rain observation equipment is marked as a qualified object; otherwise, it is determined that the detection accuracy of the acid rain observation equipment does not meet the requirements, and the corresponding acid rain observation equipment is marked as an abnormal object, and an operation abnormality signal is generated and sent to the mobile phone terminal of the manager through the abnormal monitoring platform; The screening and analysis module is used to perform key screening and analysis on the acid rain observation equipment: obtain the temperature deviation data WS and humidity deviation data SS of the qualified object when it is checked and perform numerical calculation to obtain the environmental anomaly coefficient HY of the qualified object, and arrange the qualified objects in descending order according to the values ​​of the environmental anomaly coefficient HY to obtain the environmental anomaly sequence; perform standardization on the verification parameters of the pH meter and the conductivity meter to obtain the acid-base error value and the conductivity error value; obtain the actual acid-base value and the actual conductivity of the standard solution when the qualified object is checked and mark them as acid-base data and conductivity data respectively; perform key screening and matching on the pH meter and the conductivity meter respectively and mark the acid-base verification basis and the conductivity verification basis; The key verification module is used to perform key sampling verification and analysis on acid rain observation equipment within the verification period.

2. The data multi-source verification abnormal alarm system suitable for acid rain detector according to claim 1 is characterized in that: The verification parameters of the pH meter include the voltage range indication error of the electric meter, the pH range indication error of the electric meter, the instrument indication error and the instrument indication repeatability. The verification parameters of the conductivity meter include the electronic unit repeatability, the electronic unit reference error and the instrument reference error.

3. The data multi-source verification abnormal alarm system suitable for acid rain detector according to claim 2 is characterized in that: The process of obtaining the temperature deviation data WS includes: obtaining the operating temperature range of the acid rain observation equipment, marking the average value of the maximum value and the minimum value of the operating temperature range as the temperature standard value, and marking the absolute value of the difference between the air temperature value when the qualified object is checked and the temperature standard value as the temperature deviation data WS; the process of obtaining the humidity deviation data SS includes: obtaining the operating humidity range of the acid rain observation equipment, marking the average value of the maximum value and the minimum value of the operating humidity range as the humidity standard value, and marking the absolute value of the difference between the air humidity value when the qualified object is checked and the humidity standard value as the humidity deviation data SS.

4. The data multi-source verification abnormal alarm system suitable for acid rain detector according to claim 3 is characterized in that: The specific process of key screening and matching of pH meters includes: arranging qualified objects in order of acid-base error values ​​from large to small to obtain an acid-base error sequence, arranging qualified objects in order of acid-base data values ​​from large to small to obtain an acid-base actual sequence, marking the absolute value of the serial number difference between the qualified object in the acid-base error sequence and the acid-base actual sequence as the acid-base influence value of the qualified object, summing and averaging the acid-base influence values ​​of all qualified objects to obtain the acid-base influence coefficient, marking the absolute value of the serial number difference between the qualified object in the acid-base error sequence and the environmental abnormality sequence as the environmental acid-base value of the qualified object, summing and averaging the environmental acid-base values ​​of all qualified objects to obtain the environmental acid-base coefficient, comparing the acid-base influence coefficient with the environmental acid-base coefficient and marking the acid-base verification basis through the comparison result.

5. The data multi-source verification abnormal alarm system suitable for acid rain detector according to claim 4 is characterized in that: The specific process of comparing the acid-base influence coefficient with the environmental acid-base coefficient includes: if the acid-base influence coefficient is less than the environmental acid-base coefficient, the acid-base influence is marked as the basis for the acid-base verification of the acid rain detector during the verification period; otherwise, the environmental influence is marked as the basis for the acid-base verification of the acid rain detector during the verification period.

6. The data multi-source verification abnormal alarm system suitable for acid rain detector according to claim 5 is characterized in that: The data processing method of the conductivity verification based on the labeling process is the same as the data processing method of the acid-base verification based on the labeling process.

7. The data multi-source verification abnormal alarm system suitable for acid rain detector according to claim 6 is characterized in that: The specific process of the key inspection module conducting key sampling inspection and analysis on the acid rain observation equipment during the inspection period includes: dividing the inspection period into several inspection periods, obtaining the environmental anomaly coefficient HY, pH monitoring value and conductivity monitoring value of the environment in which all acid rain observation equipment are located at the end of the inspection period, if the acid-base inspection basis of the acid rain detector during the inspection period is environmental impact, then the pH meters of the L1 acid-base observation equipment with the largest environmental anomaly coefficient HY value are marked as the acid-base calibration objects of the inspection period; if the acid-base inspection basis of the acid rain detector during the inspection period is acid-base impact, then the L1 acid-base observation equipment with the largest pH monitoring value and the pH meter of the abnormal object are marked as the acid-base calibration objects of the inspection period; at the end of the inspection period, the acid-base accuracy of the acid-base calibration object is checked by the acid rain inspection instrument.

8. The data multi-source verification abnormal alarm system suitable for acid rain detector according to claim 7 is characterized in that: The specific process of the key verification module conducting key sampling verification and analysis on the acid rain observation equipment during the verification period also includes: if the conductivity verification basis of the acid rain detector during the verification period is environmental impact, the conductivity meters of the L1 acid-base observation equipment with the largest environmental anomaly coefficient HY value are marked as the conductivity verification objects during the random inspection period; if the conductivity verification basis of the acid rain detector during the verification period is conductivity impact, the conductivity meters of the L1 acid-base observation equipment with the largest conductivity monitoring value and the abnormal object are marked as the conductivity verification objects during the random inspection period; at the end of the random inspection period, the conductivity accuracy of the conductivity verification object is verified by the acid rain verification instrument.

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