Atmospheric background greenhouse gas whole-process business real-time quality management method and device

Abstract

The embodiment of the invention provides a real-time quality management method and a real-time quality management device for full-process business of atmospheric background greenhouse gas. The method comprises the following steps: carding each atmospheric background greenhouse gas service process, determining each key management and control item of each working link of each atmospheric background greenhouse gas service process, then obtaining process data corresponding to the key management and control items, and constructing trace determination indexes corresponding to the key management and control items, and according to the process data corresponding to the key management and control item, calculating the score of the trace determination index corresponding to the key management and control item so as to generate an atmospheric background greenhouse gas service quality management product. In this way, automatic monitoring and management of key trace information of each atmospheric background greenhouse gas service process can be achieved, the blank of the service in the execution management (D) link is filled, meanwhile, full-link real-time monitoring of the atmospheric background greenhouse gas service process can be achieved, and human intervention and errors in service quality management are reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of meteorological service technology, and in particular to a method and device for real-time quality management of the entire process of atmospheric background greenhouse gas services. Background Art

[0002] At present, the main business planning management (P), inspection management (C), and improvement management (A) of atmospheric background greenhouse gases have been realized, but the execution management (D) link is blank, and it is impossible to achieve full-link management of the quality management system; and other management links are mainly operated in the form of human-computer interaction, such as manual internal and external audits, manual collection of quality improvement and evidence materials, and manual reporting of process performance indicators. There is a lack of information support means such as automatic traceability and real-time monitoring, resulting in low process management efficiency. Due to the long process, many links, and complex cross-process of atmospheric background greenhouse gases, a lot of information needs to be recorded. Manual monitoring will be time-consuming, inefficient, incomplete, and missing content. In addition, the manual provision of relevant information (process performance evaluation, business improvement, business inspection, etc.) is highly subjective and fails to fully, scientifically and objectively reflect the operating benefits of the quality management system. Summary of the invention

[0003] In a first aspect, an embodiment of the present disclosure provides a method for real-time quality management of the entire process of atmospheric background greenhouse gas services, the method comprising:

[0004] Sorting out each atmospheric background greenhouse gas business process and determining each key control item of each work link of each atmospheric background greenhouse gas business process;

[0005] Obtain process data corresponding to key control matters;

[0006] Construct traceability determination indicators corresponding to key control matters;

[0007] According to the process data corresponding to the key control items, calculate the traceability determination index score corresponding to the key control items;

[0008] Based on the traceability determination index scores corresponding to each key control item, the atmospheric background greenhouse gas business quality management product is generated.

[0009] In some achievable methods of the first aspect, each atmospheric background greenhouse gas business process is sorted out to determine each key control item of each work link of each atmospheric background greenhouse gas business process, including:

[0010] According to the requirements of the meteorological observation quality management system, each atmospheric background greenhouse gas business process is sorted out to determine the key control items of each work link in each atmospheric background greenhouse gas business process.

[0011] In some possible implementations of the first aspect, obtaining process data corresponding to key control matters includes:

[0012] Through the process data API interface corresponding to the key control items, the process data corresponding to the key control items can be obtained from the comprehensive meteorological observation business operation information platform and / or the comprehensive meteorological observation data quality control system.

[0013] In some possible implementations of the first aspect, constructing traceability determination indicators corresponding to key control matters includes:

[0014] Determine the categories of traceability determination indicators corresponding to key control items, sort out the key control items based on this, and construct the traceability determination indicators corresponding to key control items.

[0015] In some possible implementations of the first aspect, calculating the traceability determination index score corresponding to the key control item according to the process data corresponding to the key control item includes:

[0016] According to the process data corresponding to the key control items, the correct trace percentage of the trace determination indicators corresponding to the key control items is calculated;

[0017] According to the correct trace ratio and weight coefficient of the trace determination indicator corresponding to the key control items, the score of the trace determination indicator corresponding to the key control items is calculated.

[0018] In some possible implementations of the first aspect, based on the traceability determination index scores corresponding to each key control item, an atmospheric background greenhouse gas business quality management product is generated, including:

[0019] According to the traceability determination index scores corresponding to each key control item corresponding to each comprehensive determination item of each atmospheric background greenhouse gas business process, calculate the comprehensive determination score corresponding to each comprehensive determination item of each atmospheric background greenhouse gas business process;

[0020] Based on the comprehensive judgment scores corresponding to each comprehensive judgment item of each atmospheric background greenhouse gas business process, the atmospheric background greenhouse gas business quality management product is generated.

[0021] In some implementations of the first aspect, the method further includes:

[0022] Release of atmospheric background greenhouse gas business quality management products;

[0023] Among them, the atmospheric background greenhouse gas business quality management products include: atmospheric background greenhouse gas business quality management report, atmospheric background greenhouse gas business quality management alarm information, and atmospheric background greenhouse gas business execution monitoring list.

[0024] In a second aspect, an embodiment of the present disclosure provides a real-time quality management device for the entire process of atmospheric background greenhouse gas services, the device comprising:

[0025] The sorting module is used to sort out each atmospheric background greenhouse gas business process and determine each key control item of each work link of each atmospheric background greenhouse gas business process;

[0026] The acquisition module is used to obtain process data corresponding to key control matters;

[0027] Construction module, used to construct traceability determination indicators corresponding to key control matters;

[0028] A calculation module is used to calculate the traceability determination index score corresponding to the key control items based on the process data corresponding to the key control items;

[0029] The generation module is used to generate atmospheric background greenhouse gas business quality management products based on the traceability judgment index scores corresponding to each key control item.

[0030] In a third aspect, an embodiment of the present disclosure provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method as described above.

[0031] In a fourth aspect, an embodiment of the present disclosure provides a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions are used to cause a computer to execute the method as described above.

[0032] In the embodiments disclosed herein, it is possible to realize the automated monitoring and management of key trace information of each atmospheric background greenhouse gas business process, which can play the role of "real-time control and business correction", fill the gap in the execution management (D) link of the business, and safeguard the high-quality operation of the atmospheric background greenhouse gas business. At the same time, it can realize the full-link real-time monitoring of the atmospheric background greenhouse gas business process, improve the transparency and standardization of the business process, reduce human intervention and errors in the quality management of the business, so as to comprehensively, scientifically and objectively reflect the operating benefits of the quality system.

[0033] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:

[0035] Figure 1 A flow chart of a method for real-time quality management of the entire process of atmospheric background greenhouse gas business provided by an embodiment of the present disclosure is shown;

[0036] Figure 2 A technical framework for managing the quality of atmospheric background greenhouse gas services provided by an embodiment of the present disclosure is shown;

[0037] Figure 3 An atmospheric background greenhouse gas business process tree diagram provided by an embodiment of the present disclosure is shown;

[0038] Figure 4 An atmospheric background greenhouse gas business system data interface management design provided by an embodiment of the present disclosure is shown;

[0039] Figure 5 The embodiment of the present disclosure shows the quantity distribution of trace determination algorithms for atmospheric background greenhouse gases in various business processes;

[0040] Figure 6 The embodiment of the present disclosure shows a design concept for real-time quality management and trace determination of the entire process of atmospheric background greenhouse gas business (taking the standard gas process as an example);

[0041] Figure 7 An embodiment of the present disclosure provides an indicator for determining the comprehensive traces of atmospheric background greenhouse gases in various businesses;

[0042] Figure 8 The embodiment of the present disclosure shows a detailed list of comprehensive trace determination indicators for atmospheric background greenhouse gases of various businesses;

[0043] Fig. 9 It shows the implementation rate of the atmospheric background greenhouse gas business process system from June 2023 to May 2024;

[0044] Fig.10 A diagram of the full business process execution monitoring of atmospheric background greenhouse gases provided by an embodiment of the present disclosure is shown;

[0045] Fig.11 A structural diagram of a real-time quality management device for the entire process of atmospheric background greenhouse gas business provided by an embodiment of the present disclosure is shown;

[0046] Fig.12A structural diagram of an exemplary electronic device capable of implementing an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0048] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0049] In view of the problems in the background technology, the embodiments of the present disclosure provide a real-time quality management method and device for the whole process of atmospheric background greenhouse gas business. Each atmospheric background greenhouse gas business process can be sorted out to determine the key control items of each work link of each atmospheric background greenhouse gas business process, and then the process data corresponding to the key control items can be obtained, and the trace determination index corresponding to the key control items can be constructed. According to the process data corresponding to the key control items, the trace determination index score corresponding to the key control items can be calculated, so as to generate the atmospheric background greenhouse gas business quality management product.

[0050] In this way, the key trace information of each atmospheric background greenhouse gas business process can be automatically monitored and managed, which can play the role of "real-time control and business correction", fill the gap in the execution management (D) link of the business, and safeguard the high-quality operation of the atmospheric background greenhouse gas business. At the same time, it can realize the full-link real-time monitoring of the atmospheric background greenhouse gas business process, improve the transparency and standardization of the business process, reduce human intervention and errors in the quality management of the business, so as to comprehensively, scientifically and objectively reflect the operating benefits of the quality system.

[0051] In conjunction with the accompanying drawings, a method and device for real-time quality management of the entire process of atmospheric background greenhouse gas business provided by the embodiments of the present disclosure will be described in detail through specific embodiments.

[0052] Figure 1 A flowchart of a method for real-time quality management of the entire process of atmospheric background greenhouse gas business provided by an embodiment of the present disclosure is shown, such as Figure 1As shown, the real-time quality management method 100 for the whole process of atmospheric background greenhouse gas business can be applied to the meteorological observation quality management system information system (QMS), including the following steps:

[0053] S110, sort out each atmospheric background greenhouse gas business process and determine each key control item of each work link of each atmospheric background greenhouse gas business process.

[0054] In some embodiments, each atmospheric background greenhouse gas business process (such as station network management, data acquisition, data processing, operation monitoring, maintenance assurance, and metrological calibration) can be sorted out according to the meteorological observation quality management system requirement documents, such as the "Meteorological Observation Quality Management System Requirements", and the key control items of each work link of each atmospheric background greenhouse gas business process can be determined.

[0055] S120, obtaining process data corresponding to key control items.

[0056] In some embodiments, the process data corresponding to the key control items can be obtained from the comprehensive meteorological observation business operation information platform (i.e., the Tianyuan system) and / or the comprehensive meteorological observation data quality control system (i.e., the Tianheng system) through the process data API interface corresponding to the key control items.

[0057] S130, construct traceability determination indicators corresponding to key control matters.

[0058] In some embodiments, the categories of trace determination indicators corresponding to key control matters can be determined, and the key control matters can be sorted out based on this to construct trace determination indicators corresponding to the key control matters.

[0059] Among them, the categories of traceable judgment indicators may include: "existence judgment" - that is, judging whether key control matters are executed, "frequency judgment" - that is, judging whether key control matters are carried out according to the prescribed time frequency, "quantity judgment" - that is, judging whether the "quantity" required by key control matters meets the standards, "timeliness judgment" - that is, judging whether key control matters are completed within the required time limit, "technical parameter judgment" - that is, judging whether the technical parameters involved in key control matters meet the standards, and "business indicator judgment" - that is, judging whether the results of key control matters meet the established goals. Correspondingly, traceable judgment indicators may include: "existence judgment" indicators, "frequency judgment" indicators, "quantity judgment" indicators, "timeliness judgment" indicators, "technical parameter judgment" indicators, and "business indicator judgment" indicators.

[0060] S140, calculating the traceability determination index score corresponding to the key control items based on the process data corresponding to the key control items.

[0061] In some embodiments, based on the process data corresponding to the key control items, the correct trace percentage of the trace judgment index corresponding to the key control items can be counted, and based on the correct trace percentage of the trace judgment index corresponding to the key control items and the weight coefficient, the trace judgment index score corresponding to the key control items can be calculated. For example, the product of the correct trace percentage and the weight coefficient is used as the trace judgment index score.

[0062] S150 generates atmospheric background greenhouse gas business quality management products based on the traceability determination index scores corresponding to each key control item.

[0063] In some embodiments, the comprehensive judgment scores corresponding to the comprehensive judgment items of each atmospheric background greenhouse gas business process can be calculated according to the trace judgment index scores corresponding to the key control items of each comprehensive judgment item of each atmospheric background greenhouse gas business process. For example, for a comprehensive judgment item, the cumulative sum of the trace judgment index scores corresponding to the key control items corresponding to the comprehensive judgment item is used as the comprehensive judgment score. Then, according to the comprehensive judgment scores corresponding to the comprehensive judgment items of each atmospheric background greenhouse gas business process, the atmospheric background greenhouse gas business quality management product is generated and released.

[0064] Among them, the atmospheric background greenhouse gas business quality management products may include: atmospheric background greenhouse gas business quality management report, atmospheric background greenhouse gas business quality management alarm information, and atmospheric background greenhouse gas business execution monitoring list.

[0065] In order to facilitate further understanding, the following Figure 2 The technical framework shown describes in detail the real-time quality management method 100 for the entire process of atmospheric background greenhouse gas operations:

[0066] (1) Review of the business processes and key management issues for atmospheric background greenhouse gases.

[0067] According to the "Atmospheric Background Observation Business Management Regulations" and the existing business system, the main business process of atmospheric background greenhouse gases includes 20 work links in 6 categories (such as station network management, data acquisition, data processing, operation monitoring, maintenance guarantee, and metrology verification). Figure 3 As shown in the table above, each work link summarizes the key control items in accordance with the "Requirements for Meteorological Observation Quality Management System" (including standards and specifications management, system and regulations management, business operation control, control of external provision of processes and products and services, control of unqualified outputs, business R&D control, etc.).

[0068] For example, for the "station information management" work link in station network management, the business specifications stipulate that "national-level units are responsible for preparing metadata quality reports and supervision and inspection; site metadata updates should be completed within 2 working days and submitted to the municipal level. The municipal level will complete the review within 2 working days after the background station metadata change is submitted, and the provincial level will complete the review within 3 working days after the municipal level metadata change is submitted. The national level will complete the review within 3 working days after the provincial level metadata change is submitted." The above business regulations correspond to the "Data Quality Control and Release" and "Management of Required Changes" clauses in the "Requirements for Meteorological Observation Quality Management System". Therefore, the following key control items are condensed: ① Stations and provincial levels enter and review metadata; ② The national level reports, supervises and inspects metadata quality; ③ Stations complete metadata changes within 2 working days, and municipal levels complete metadata change reviews within 2 working days; ④ Provincial and national levels complete reviews within 3 working days.

[0069] (2) Obtaining the data source interface of the atmospheric background greenhouse gas business system.

[0070] The above atmospheric background greenhouse gas business processes are deployed in the Tianyuan and Tianheng business systems respectively. Among them, the Tianyuan system includes station network information management, data acquisition, data processing, operation monitoring, maintenance guarantee, and metrological verification processes, and the Tianheng system includes data transmission and data quality control business processes. According to the key control items of each business process described in the first step, the key node interface information in each business process in the Tianyuan and Tianheng systems is sorted out. The data interfaces that Tianyuan needs to access include: glass bottle sampling analysis and delivery, tank sampling analysis and delivery, standard gas empty bottles and gas cylinder delivery, station quality daily list feedback and manual marking, equipment metrological verification, maintenance and repair records, station network management records, metadata feedback records, etc.; the data interfaces that Tianheng needs to access include: automatic data collection transmission frequency and arrival time, station data quality control information, national data quality control information, national operation monitoring, station-level abnormal data handling, etc. Obtain the data content, collection frequency, and organizational information of each type of data interface to facilitate subsequent trace determination. For example, for the glass bottle sampling and analysis work link in the Tianyuan system, the data interfaces that need to be obtained include province, station name, station number, glass bottle sampling time, and sampling quantity, and the collection frequency is once a month; for the station data quality control work link in the Tianheng system, the data interfaces that need to be obtained include province, station name, station number, and station quality control information file arrival time, and the collection frequency is once a day.

[0071] By developing API interfaces, the data of Tianyuan system and Tianheng system are seamlessly connected and integrated into QMS. At the same time, 13 interface management and control functions are designed, including data source configuration management, interface start and stop configuration, access frequency configuration, data format and type configuration, authentication and authorization configuration, error handling and retry mechanism, bandwidth and resource configuration, etc., so as to realize the storage, processing, monitoring and authentication management of interface data and ensure the integrity, consistency and security of data (such as Figure 4 shown).

[0072] (3) Development of trace determination algorithm and classification of determination results.

[0073] After obtaining the data interface in the second step, the traceability judgment indicators of "compliance" are formulated according to the key control items of each work link in each business process in the first step, which mainly include 6 aspects: the traceability judgment indicator categories can include: "presence judgment" - that is, judging whether the key control items are implemented, "frequency judgment" - that is, judging whether the key control items are carried out according to the prescribed time frequency, "quantity judgment" - that is, judging whether the "quantity" required by the key control items meets the standards, "timeliness judgment" - that is, judging whether the key control items are completed within the required time limit, "technical parameter judgment" - that is, judging whether the technical parameters involved in the key control items meet the standards, "business indicator judgment" - that is, judging whether the results of the key control items meet the established goals. According to the specific requirements of each business process of atmospheric background greenhouse gases, the traceability judgment indicators of these 6 aspects are sorted out, and the results are as follows: Figure 5 As shown in the figure, it can be seen that the existence judgment, quantity judgment, time judgment and frequency judgment are basically involved in all business processes, and the value transfer (i.e. standard gas) business process contains the most trace judgment indicators. Therefore, this business process is taken as an example to explain the trace judgment algorithm in detail (such as Figure 6 shown).

[0074] like Figure 6 As shown in the figure, the value transfer (i.e., standard gas) business is mainly deployed in the Tianyuan system, and also provides key parameters for the data quality control process in the Tianheng system. Therefore, the main operation process involves these two business systems, and QMS mainly obtains interface data from the two business systems. The standard gas operation process starts with the statistical standard gas demand of each station, and goes through a series of processes such as "preparing and issuing standard gas configuration tasks - the laboratory sends empty standard gas bottles - the station distributes gas - the distributed gas bottles are sent back to the laboratory - the laboratory conducts calibration - the standard gas is sent to the station - the station replaces the standard gas - the returned standard gas bottles are sent back to the laboratory - the laboratory conducts standard measurement comparison". The standard gas traceability algorithm is formulated according to the six judgment indicators:

[0075] 1. The “presence or absence judgment” indicators include: whether the laboratory provides a label of the standard substance concentration value, and whether the station has a record of the standard gas daily inspection form;

[0076] 2. The “frequency determination” indicator includes: whether the laboratory sends empty bottles to the station twice a year;

[0077] 3. The "quantity determination" indicators include: whether the laboratory sends 35 empty bottles to each station each time, whether the station sends 35 pre-calibrated gas cylinders to the laboratory each time, and whether the laboratory calibration record is ≥3;

[0078] 4. The “timeliness determination” indicators include: whether the station sends greenhouse gas return cylinders to the laboratory within 1 month;

[0079] 5. The indicators of "technical parameter determination" include: whether the difference between the CO2 concentration of the calibration gas and the CO2 concentration specified by the gas distribution box is less than 10ppm, whether the pressure is greater than 2000psi (except for the halogen bottle), and whether the water vapor content of the calibration gas is less than 5ppm;

[0080] 6. The indicators of “business indicator determination” include: when T alarm (the difference between the corrected value of T standard gas and the nominal value of T standard gas, CO2 should be less than 0.2ppm, CH4 should be less than 2ppb, T standard gas corrected value = T standard gas response value × W standard gas response value ÷ W standard gas nominal value) or W alarm (the difference between two adjacent W standard gas response values, CO2 should be less than 0.2ppm, CH4 should be less than 2ppb) occurs in greenhouse gas data, the alarm time and the standard gas replacement time shall be judged to be consistent. When the two are consistent, it is determined that there is a problem with the standard gas concentration, and the station is required to fill out a maintenance order. If there is no maintenance order, the system is not executed correctly; when the two are inconsistent, the standard gas replacement time is incorrect, and the laboratory is required to check the standard gas replacement time in Tianyuan and correct it. The station is required to manually mark the alarm time or fill out a maintenance order. If there is no marking information, the system is not executed correctly.

[0081] According to the above trace determination algorithm, the execution monitoring results of each business process are obtained, including correct trace, timed trace, and missed trace. Based on the greenhouse gas standard gas business, the following trace determination table is obtained (as shown in Table 1):

[0082] Table 1

[0083]

[0084]

[0085] (4) Establishment of comprehensive assessment criteria.

[0086] Since each business process of atmospheric background greenhouse gases involves multiple trace determination indicators, it is necessary to formulate comprehensive trace indicators based on the weight of the impact of different indicators on business quality. Here, the indicators are divided into three categories: key indicators, important indicators and general indicators according to the judgment rules of comprehensive management plan indicators. Among them, key indicators are management indicators involved in key processes or special processes, which are identified and defined in the atmospheric background greenhouse gas operation instructions. Important indicators are control management indicators involved in important processes defined in the procedures. General indicators are indicators that need to be monitored or traced in addition to key indicators and important indicators.

[0087] Comprehensive judgment rules: The score of each indicator is calculated based on the correct trace percentage of each indicator and the weight score of the indicator, and the total score of the comprehensive judgment item is obtained by adding up. Taking "comprehensive judgment of manual sampling" as an example, the weight of bottle sampling and can sampling is 30% each, and the weight of bottle sampling and can sampling mailing is 20%. If the correct trace of bottle sampling is 80%, the correct trace of can sampling is 100%, the correct trace of bottle sampling and mailing is 50%, and the correct trace of can sampling and mailing is 20%, then the execution rate of the comprehensive system of manual sampling is DI = 30%*0.8+30%*1+20%*0.5+20%*0.2=68%.

[0088] The atmospheric background greenhouse gas business process includes 13 comprehensive judgment items and 59 judgment indicators. According to the above rules, the weights of the trace judgment indicators of the comprehensive judgment items of each atmospheric background greenhouse gas business process are allocated, such as Figure 7 , Figure 8 shown.

[0089] (5) Production of greenhouse gas quality management products.

[0090] Regularly publish quality management reports on atmospheric background greenhouse gas services. Based on the real-time monitoring results of the QMS, regularly publish quality management reports, conduct statistical analysis on the execution monitoring of the above-mentioned business processes, supervise and control business processes with low system execution rates, and provide suggestions for improving the business system through cause analysis, so as to provide support for improving the quality of the business. For example, statistics were collected on the system execution rates of greenhouse gas maintenance, repair, and bottle sampling from June 2023 to May 2024. The results showed that in the past year, the system execution rate of the atmospheric background greenhouse gas business process (such as Fig. 9 The average of the system execution rate is 43.55% and the linear growth rate is 0.68. Among them, the lowest execution rate of the system is 31.05% in March 2024 and the highest is 57.06% in November 2023. The low execution rate of equipment maintenance is the main reason for the low overall execution rate of the business process system.

[0091] Send the atmospheric background greenhouse gas business management alarm information in real time. The format is as follows: From X / X / XXXX to X / X / XXXX, the national atmospheric background greenhouse gas system execution rate is XX%, the business process with the highest system execution rate is XXX (XX%), the business process with the lowest system execution rate is XXX (XX%), and the main reason for incorrect execution is: XXX. Among the provinces with 8 background stations in the country, the highest background greenhouse gas system execution rate is XX (XX%), the lowest is XX (XX%), and the business with the lowest system execution rate in XX is XXX (XX%), and the main reason for incorrect execution is: XXX.

[0092] For example, from May 1 to May 31, 2024, the execution rate of the national atmospheric background greenhouse gas system was 85%. The business process with the highest system execution rate was equipment maintenance (100%), and the business process with the lowest system execution rate was manual sampling of greenhouse gases (85%). The main reason for incorrect execution was: the sampling bottle from the station to the detection center was overdue. Among the provinces with eight background stations in the country, Xinjiang had the highest execution rate of the background greenhouse gas system (95%), and Hubei had the lowest (70%). The business with the lowest system execution rate in Hubei was equipment maintenance (55%). The main reason for incorrect execution was: the start time of the maintenance order differed from the reporting time by more than 12 hours.

[0093] Real-time release of atmospheric background greenhouse gas business execution monitoring list. By automatically counting the system execution rate of the above 25 greenhouse gas business processes in real time, and finally displaying it in the form of a list (such as Fig.10 As shown in the figure). The system execution rate that meets the standard is indicated in green, and the system execution rate that does not meet the standard is indicated in red. In this way, the execution status of the entire business process of atmospheric background greenhouse gases is clearly displayed like a "business physical examination form". The relevant business management departments can timely discover problems in the business process by paying attention to the list at any time, and can take corresponding measures in time to play the role of "real-time correction".

[0094] In summary, according to the embodiments of the present invention, at least the following technical effects are achieved:

[0095] (1) Contribution to atmospheric background greenhouse gas business.

[0096] Improve business quality: Through the automated monitoring and management of key trace information of each greenhouse gas business process (metrology verification, equipment maintenance and repair, station network, bottle sampling management, laboratory analysis, metrology and value transfer, data evaluation, etc.), it can play the role of "real-time control and business correction", filling the gap in the previous QMS execution management of this business, and providing strong support for the real-time, objective and scientific control of greenhouse gas business through information technology, to ensure the high-quality operation of atmospheric background greenhouse gas business.

[0097] Optimize business processes: Realize real-time monitoring of the entire business process chain, improve the transparency and standardization of business processes, reduce human intervention and errors in greenhouse gas business management, and promote comprehensive, scientific and objective reflection of system operation benefits.

[0098] Providing experience for reference: This invention uses greenhouse gas observation business as a pilot project to implement comprehensive quality system management. Through practical exploration and improvement of management models, it provides successful experience for the automated monitoring and management of other subsequent businesses, thereby gradually promoting full-link real-time quality management of other business processes, thereby promoting the improvement of the overall business management level.

[0099] (2) Social and economic benefits.

[0100] Responding to climate change: Support national environmental protection and climate change response policies, promote the improvement of greenhouse gas business quality through real-time and high-quality management of greenhouse gases, and help achieve carbon peak and carbon neutrality goals.

[0101] Improve international competitiveness: Enhance my country's technical level and influence in the field of global greenhouse gas observation and promote international cooperation.

[0102] Economic benefits: reduce data processing and error correction costs, improve resource utilization efficiency, and reduce operating costs.

[0103] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0104] The above is an introduction to the method embodiment. The following is a further explanation of the scheme disclosed in the present invention through an apparatus embodiment.

[0105] Fig.11 The structure diagram of a real-time quality management device for the whole process of atmospheric background greenhouse gas business provided by an embodiment of the present disclosure is shown as follows: Fig.11 As shown, the atmospheric background greenhouse gas full-process business real-time quality management device 1100 may include:

[0106] The combing module 1110 is used to comb through various atmospheric background greenhouse gas business processes and determine various key control items of various work links of each atmospheric background greenhouse gas business process.

[0107] The acquisition module 1120 is used to acquire process data corresponding to key control matters.

[0108] Construction module 1130 is used to construct traceability determination indicators corresponding to key management and control matters.

[0109] The calculation module 1140 is used to calculate the traceability determination index score corresponding to the key control items according to the process data corresponding to the key control items.

[0110] The generation module 1150 is used to generate atmospheric background greenhouse gas business quality management products according to the traceability determination index scores corresponding to each key control item.

[0111] Understandably, Fig.11 Each module / unit in the full-process real-time quality management device 1100 of atmospheric background greenhouse gas has the function of realizing Figure 1 The functions of each step in the atmospheric background greenhouse gas full-process real-time quality management method 100 shown in the figure can achieve its corresponding technical effect, and for the sake of brevity, they will not be repeated here.

[0112] Fig.12 A block diagram of an exemplary electronic device capable of implementing an embodiment of the present disclosure is shown. The electronic device 1200 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device 1200 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0113] like Fig.12 As shown, the electronic device 1200 may include a computing unit 1201, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 1202 or a computer program loaded from a storage unit 1208 into a random access memory (RAM) 1203. In the RAM 1203, various programs and data required for the operation of the electronic device 1200 may also be stored. The computing unit 1201, the ROM 1202, and the RAM 1203 are connected to each other via a bus 1204. An input / output (I / O) interface 1205 is also connected to the bus 1204.

[0114] Multiple components in the electronic device 1200 are connected to the I / O interface 1205, including: an input unit 1206, such as a keyboard, a mouse, etc.; an output unit 1207, such as various types of displays, speakers, etc.; a storage unit 1208, such as a disk, an optical disk, etc.; and a communication unit 1209, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 1209 allows the electronic device 1200 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0115] The computing unit 1201 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 1201 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 1201 performs the various methods and processes described above, such as method 100. For example, in some embodiments, the method 100 may be implemented as a computer program product, including a computer program, which is tangibly contained in a computer-readable medium, such as a storage unit 1208. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 1200 via the ROM 1202 and / or the communication unit 1209. When the computer program is loaded into the RAM 1203 and executed by the computing unit 1201, one or more steps of the method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 1201 may be configured to execute the method 100 in any other appropriate manner (eg, by means of firmware).

[0116] The various embodiments described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs, which may be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general programmable processor, which may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0117] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0118] In the context of the present disclosure, a computer-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a computer-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0119] It should be noted that the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute method 100 and achieve the corresponding technical effect achieved by the embodiments of the present disclosure executing the method. For the sake of brevity, they are not repeated here.

[0120] In addition, the present disclosure also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method 100 is implemented.

[0121] To provide interaction with a user, the above-described embodiments may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0122] The embodiments described above can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0123] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0124] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0125] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A real-time quality management method for the entire process of atmospheric background greenhouse gas business, characterized in that: The method comprises: Sorting out each atmospheric background greenhouse gas business process and determining each key control item of each work link of each atmospheric background greenhouse gas business process; Obtaining process data corresponding to the key control items; Construct traceability determination indicators corresponding to the key control items; Calculate the score of the traceability determination index corresponding to the key control item according to the process data corresponding to the key control item; Based on the traceability determination index scores corresponding to each key control item, the atmospheric background greenhouse gas business quality management product is generated.

2. The method according to claim 1, characterized in that The above-mentioned process of sorting out each atmospheric background greenhouse gas business process determines the key control items of each work link of each atmospheric background greenhouse gas business process, including: According to the requirements of the meteorological observation quality management system, each atmospheric background greenhouse gas business process is sorted out to determine the key control items of each work link in each atmospheric background greenhouse gas business process.

3. The method according to claim 1, characterized in that The obtaining of process data corresponding to the key control items includes: Through the process data API interface corresponding to the key control items, the process data corresponding to the key control items are obtained from the comprehensive meteorological observation business operation information platform and / or the comprehensive meteorological observation data quality control system.

4. The method according to claim 1, characterized in that: The traceability determination indicators corresponding to the key control items are constructed, including: Determine the category of traceability determination indicators corresponding to the key control items, sort out the key control items based on this, and construct the traceability determination indicators corresponding to the key control items.

5. The method according to claim 1, characterized in that The step of calculating the score of the traceability determination index corresponding to the key control item according to the process data corresponding to the key control item includes: According to the process data corresponding to the key control items, the correct trace ratio of the trace determination index corresponding to the key control items is counted; According to the correct trace ratio and weight coefficient of the trace determination indicator corresponding to the key control item, the trace determination indicator score corresponding to the key control item is calculated.

6. The method according to claim 1, characterized in that According to the traceability determination index scores corresponding to each key control item, the atmospheric background greenhouse gas business quality management products are generated, including: According to the traceability determination index scores corresponding to each key control item corresponding to each comprehensive determination item of each atmospheric background greenhouse gas business process, calculate the comprehensive determination score corresponding to each comprehensive determination item of each atmospheric background greenhouse gas business process; Based on the comprehensive judgment scores corresponding to each comprehensive judgment item of each atmospheric background greenhouse gas business process, the atmospheric background greenhouse gas business quality management product is generated.

7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: Release of atmospheric background greenhouse gas business quality management products; Among them, the atmospheric background greenhouse gas business quality management products include: atmospheric background greenhouse gas business quality management report, atmospheric background greenhouse gas business quality management alarm information, and atmospheric background greenhouse gas business execution monitoring list.

8. A real-time quality management device for the entire process of atmospheric background greenhouse gas services, characterized in that: The device comprises: The sorting module is used to sort out each atmospheric background greenhouse gas business process and determine each key control item of each work link of each atmospheric background greenhouse gas business process; An acquisition module, used to acquire process data corresponding to the key control items; A construction module is used to construct traceability determination indicators corresponding to the key control items; A calculation module, used to calculate the traceability determination index score corresponding to the key control item according to the process data corresponding to the key control item; The generation module is used to generate atmospheric background greenhouse gas business quality management products based on the traceability judgment index scores corresponding to each key control item.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to make a computer execute the method according to any one of claims 1 to 7.

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