Metering monitoring method and metering monitoring system

Abstract

The invention relates to the technical field of metering, and discloses a metering monitoring method and a metering monitoring system.The method comprises the steps that a handover mode is determined according to a service identifier of a handover service and a mapping table, and the mapping table comprises the corresponding relation between the service identifier and the handover mode; according to a handover mode corresponding to the handover service, determining a to-be-collected actual data item, a standard data item and a fluctuation range of the handover service; collecting actual data items of the handover service; determining an actual handover amount according to the actual data item of the handover service, and determining a standard handover amount according to the standard data item; and determining whether the handover service is abnormal or not according to whether the comparison result of the actual handover amount and the standard handover amount exceeds the corresponding fluctuation range or not. According to the invention, the structured and automatic processing of the metering data is realized, the accuracy and reliability of the metering data are improved, the abnormity of handover data is found in time, and the automation level of metering management is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of metrology, and more specifically to a metrology monitoring method and a metrology monitoring system. Background Technology

[0002] Currently, in the petrochemical industry, metering management information systems employ a human-machine collaborative approach to manage metering data at all levels, providing data support and a strong basis for enterprise cost management and performance evaluation. For example, during a business handover process, the personnel involved in the handover enter the collected data into the system, manually select the handover method, manually confirm whether the collected data is normal, and enter the confirmation results into the system for subsequent review or supervision by relevant personnel.

[0003] However, due to the low efficiency of manual intervention and the possibility of data tampering, the process of acquiring and processing data in the aforementioned metrology management information system is very time-consuming and the data is not objective. Summary of the Invention

[0004] The purpose of this invention is to provide a metrological monitoring method and system that solves the problems of unstructured and non-automated processing of existing metrological data, realizes structured and automated processing of metrological data, improves the accuracy and reliability of metrological data, promptly detects anomalies in data transfer, greatly enhances the automation level of metrological management, and provides strong support for enterprise production, operation and decision-making.

[0005] To achieve the above objectives, the present invention provides a metering and monitoring method, comprising: determining the handover method corresponding to the handover service based on the service identifier and a mapping table, wherein the mapping table includes the correspondence between the service identifier and the handover method; determining the actual data items to be collected, standard data items, and fluctuation range of the handover service based on the handover method corresponding to the handover service; collecting the actual data items of the handover service; determining the actual handover quantity based on the actual data items of the handover service, and determining the standard handover quantity based on the standard data items; and determining whether the handover service is abnormal based on whether the comparison result between the actual handover quantity and the standard handover quantity exceeds the corresponding fluctuation range.

[0006] Preferably, determining the actual data items to be collected, the standard data items, and the fluctuation range for the handover operation includes: when the handover method corresponding to the handover operation is commodity inspection tank quantity ship supervision, determining that the actual data items to be collected for the handover operation are ship quantity, the standard data items are commodity inspection tank quantity, and the fluctuation range is a first fluctuation range; determining the actual handover quantity based on the actual data items of the handover operation includes: determining the actual handover quantity based on the ship quantity, the number of ship holds on each ship, and the storage capacity of each ship hold; determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the commodity inspection tank quantity and the storage capacity of each tank.

[0007] Preferably, determining the actual data items to be collected, standard data items, and fluctuation range for the handover operation includes: when the handover method corresponding to the handover operation is the supervision of the inspection tank meter, determining that the actual data items to be collected for the handover operation are the instrument quantity, the standard data items are the inspection tank quantity, and the fluctuation range is the second fluctuation range, wherein the instrument quantity includes both the extraction rate and extraction time displayed by the instrument or the extraction quantity; determining the actual handover quantity based on the actual data items of the handover operation includes: determining the actual handover quantity as the product of the extraction rate and the extraction time or the extraction quantity; determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the inspection tank quantity and the storage capacity of each tank.

[0008] Preferably, determining the actual data items to be collected, standard data items, and fluctuation range of the handover operation includes: when the handover method corresponding to the handover operation is table-based handover with tank supervision, determining the actual data items to be collected for the handover operation as tank quantity, the standard data items as instrument quantity, and the fluctuation range as a third fluctuation range, wherein the instrument quantity includes both the standard extraction rate and the standard extraction time displayed by the instrument, or the standard extraction quantity; determining the actual handover quantity based on the actual data items of the handover operation includes: determining the actual handover quantity based on the tank quantity and the storage capacity of each tank; determining the standard handover quantity based on the standard data items includes: determining the product of the standard extraction rate and the standard extraction time, or the standard extraction quantity, as the standard handover quantity.

[0009] Preferably, determining the actual data items to be collected, standard data items, and fluctuation range for the handover operation includes: when the handover method corresponding to the handover operation is tank handover table supervision, the actual data items to be collected for the handover operation are instrument quantities, the standard data items are tank quantities, and the fluctuation range is a fourth fluctuation range, wherein the instrument quantities include both the extraction rate and extraction time displayed by the instrument or the extraction quantity; determining the actual handover quantity based on the actual data items of the handover operation includes: determining the actual handover quantity as the product of the extraction rate and the extraction time or the extraction quantity; determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the tank quantity and the storage capacity of each tank.

[0010] Preferably, the metering monitoring method further includes: authenticating the user who inputs a query command about the mapping table; prompting the user to input the monitoring key of the handover service if the authentication is successful; receiving and verifying the monitoring key input by the user; and obtaining the mapping table based on the received monitoring key if the key verification is successful.

[0011] Preferably, the handover business is an oil handover business or a natural gas handover business.

[0012] Preferably, the comparison result is a difference or a difference rate.

[0013] Through the above technical solutions, this invention creatively integrates the configuration of handover methods, measurement data items, and comparison processes to form a complete measurement management and monitoring system. This system enables structured and automated processing of measurement data, improves the accuracy and reliability of measurement data, promptly detects anomalies in the data, provides strong support for enterprise production, operation, and decision-making, and greatly enhances the automation level of measurement management.

[0014] A second aspect of the present invention provides a metering monitoring system, the metering monitoring system comprising: a first determining device, configured to determine the handover method corresponding to the handover service based on the service identifier and a mapping table, wherein the mapping table includes a correspondence between the service identifier and the handover method; a second determining device, configured to determine the actual data items to be collected, standard data items, and fluctuation range of the handover service based on the handover method corresponding to the handover service; a collecting device, configured to collect the actual data items of the handover service; a third determining device, configured to determine the actual handover quantity based on the actual data items of the handover service, and determine the standard handover quantity based on the standard data items; and a fourth determining device, configured to determine whether the handover service is abnormal based on whether the comparison result between the actual handover quantity and the standard handover quantity of the handover service exceeds the corresponding fluctuation range.

[0015] For specific details and benefits of the metering monitoring system provided in the embodiments of the present invention, please refer to the above description of the metering monitoring method, which will not be repeated here.

[0016] A third aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned metering and monitoring method.

[0017] Other features and advantages of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0019] Figure 1 This is a flowchart of a metering and monitoring method provided in an embodiment of the present invention;

[0020] Figure 2 This is a schematic diagram of a measurement single model provided in an embodiment of the present invention; and

[0021] Figure 3 This is a schematic diagram of the structure of a metering and monitoring system provided in an embodiment of the present invention. Detailed Implementation

[0022] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0023] Figure 1 This is a flowchart of a metering and monitoring method provided in an embodiment of the present invention. Figure 1 As shown, the metering and monitoring method includes: step S101, determining the handover method corresponding to the handover service based on the service identifier and mapping table, wherein the mapping table includes the correspondence between the service identifier and the handover method; step S102, determining the actual data items to be collected, standard data items, and fluctuation range of the handover service based on the handover method corresponding to the handover service; step S103, collecting the actual data items of the handover service; step S104, determining the actual handover quantity based on the actual data items of the handover service, and determining the standard handover quantity based on the standard data items; and step S105, determining whether the handover service is abnormal based on whether the comparison result between the actual handover quantity and the standard handover quantity of the handover service exceeds the corresponding fluctuation range.

[0024] Before executing step S101, in one embodiment, the user's query permissions and monitoring permissions can be verified through dual authentication to ensure the security and reliability of the data in the mapping table and its subsequent processing.

[0025] The metering and monitoring method further includes: authenticating the user who inputs a query command about the mapping table; prompting the user to input the monitoring key of the multiple handover services if the authentication is successful; receiving and verifying the monitoring key input by the user; and obtaining the mapping table based on the received monitoring key if the key verification is successful.

[0026] Specifically, an access control mechanism is established: query permissions for staff at certain levels can be authorized in advance, allowing them to access and view the mapping table; monitoring keys can also be assigned to staff to authorize their monitoring permissions. For example, only staff with intermediate or higher professional titles have the right to query the mapping table. Upon receiving a query command, the system checks the identity of the staff member who entered the command. If the identity shows that their professional title is intermediate or higher, identity verification is successful. At this point, the monitoring system prompts the staff member to enter the monitoring key. The staff member enters the corresponding key, and the monitoring system verifies the entered key. If correct, key verification is successful, and the corresponding mapping table is retrieved based on the key.

[0027] In this embodiment, considering data security and privacy, data protection measures are strengthened during the recording and analysis process, and an access control mechanism is established to ensure that only authorized personnel can access and analyze the data.

[0028] The following sections will explain and illustrate each of the above steps.

[0029] Step S101: Determine the handover method corresponding to the handover service based on the service identifier and mapping table of the handover service.

[0030] The mapping table includes the correspondence between service identifiers and handover methods. The mapping table can be pre-set in the metering and monitoring system according to actual needs. Each handover service is identified by a unique service identifier, and a corresponding handover method is pre-set for each service based on actual metering needs, conditions, and the negotiation and agreement (or contractual requirements) between the handover parties.

[0031] The handover business refers to either oil handover business or natural gas handover business.

[0032] For example, the multiple handover operations include oil handover operation 1, oil handover operation 2, oil handover operation 3, and oil handover operation 4, etc. Alternatively, the multiple handover operations include natural gas handover operation 1, natural gas handover operation 2, natural gas handover operation 3, and natural gas handover operation 4, etc. Or, the multiple handover operations include oil handover operation 1, oil and gas handover operation 2, natural gas handover operation 3, and natural gas handover operation 4, etc.

[0033] For example, the mapping table includes: Business 1 (e.g., oil transfer business 1) -- transfer method 1 (e.g., commodity inspection, tank quantity, and ship supervision); Business 2 (e.g., oil transfer business 2) -- transfer method 2 (e.g., commodity inspection, tank quantity, and table supervision); Business 3 (e.g., oil transfer business 2) -- transfer method 3 (e.g., table transfer, tank supervision); Business 4 (e.g., oil transfer business 4) -- transfer method 4 (e.g., tank transfer, table supervision), etc.

[0034] Taking the multiple handover operations including oil handover operation 1, oil handover operation 2, oil handover operation 3 and oil handover operation 4 as an example, if the business identifiers of the multiple handover operations are 1, 2, 3 and 4, then the handover methods corresponding to the multiple handover operations are commodity inspection tank quantity ship supervision, commodity inspection tank quantity table supervision, table handover tank supervision, and tank handover table supervision, respectively.

[0035] Step S102: Based on the handover method corresponding to the handover service, determine the actual data items to be collected, standard data items, and fluctuation range of the handover service.

[0036] In the first embodiment, determining the actual data items to be collected, the standard data items, and the fluctuation range of the handover service includes: when the handover method corresponding to a handover service is commodity inspection tank quantity and ship supervision, determining that the actual data items to be collected for the handover service are ship quantity, the standard data items are commodity inspection tank quantity, and the fluctuation range is a first fluctuation range.

[0037] Considering the precise tank volume and real-time ship loading supervision characteristics of the "commodity inspection tank volume ship supervision" handover method, the potential for significant detection errors is high. Therefore, the first fluctuation range for the error rate can be set to [-0.1, 0.1]. Commodity inspection tank volume ship supervision mainly involves supervising and inspecting the capacity of oil tanks loaded on ships. During the supervision process, the stability of the ship, the safety of the cargo, and various factors during loading and unloading need to be considered. Because ships are affected by various external factors such as wind, waves, tides, and ship dynamics while sailing at sea, these factors can cause fluctuations in the tank volume. In addition, improper loading and unloading operations and changes in the physical properties of the cargo (such as temperature and pressure) can also lead to changes in the tank volume, resulting in significant detection errors.

[0038] In the second embodiment, determining the actual data items to be collected, the standard data items, and the fluctuation range for the handover operation includes: when the handover method corresponding to a handover operation is commodity inspection tank meter monitoring, determining that the actual data items to be collected for the handover operation are instrument quantities, the standard data items are commodity inspection tank quantities, and the fluctuation range is a second fluctuation range, wherein the instrument quantities include both the extraction rate and extraction time (or the extraction quantity) displayed by the instrument. The second fluctuation range is smaller than the first fluctuation range.

[0039] Considering the high professionalism and accuracy of the "commercial inspection tank gauge supervision" handover method, as well as its real-time instrument monitoring, the potential detection error is relatively small. Therefore, a second fluctuation range for the difference rate can be set to [-0.05, 0.05]. Commercial inspection tank gauge supervision primarily focuses on the capacity measurement and recording of commercial inspection tanks under static conditions. Compared to tank quantity supervision on ships, it involves more measurement work in a stable environment with fewer external influencing factors. The fluctuations mainly originate from the accuracy of the measuring equipment and human operational errors, resulting in a smaller detection error.

[0040] For example, the instrument quantity may include the oil extraction rate and extraction time displayed by the instrument during the oil transfer process. Alternatively, the instrument quantity may be the amount of oil extracted as displayed by the instrument during the oil transfer process. This mainly depends on whether the instrument used during the transfer process has the function of displaying flow rate. If so, the flow rate / extraction volume is directly selected as the instrument quantity; otherwise, both the flow rate / extraction rate and time are used as the instrument quantity.

[0041] In the third embodiment, determining the actual data items to be collected, standard data items, and fluctuation range for the handover service includes: when the handover method corresponding to a handover service is table-to-tank supervision, determining that the actual data items to be collected for the handover service are tank quantity, the standard data items are instrument quantity, and the fluctuation range is a third fluctuation range, wherein the instrument quantity includes both the standard extraction rate and the standard extraction time (or the standard extraction quantity) displayed by the instrument. The third fluctuation range is smaller than the first fluctuation range.

[0042] Considering the real-time monitoring and high efficiency of the "table-to-tank transfer supervision" method, the potential detection error is relatively small. Therefore, a third fluctuation range for the difference rate can be set to [-0.05, 0.05]. "Table-to-tank transfer supervision" primarily focuses on recorded data and tables, which are typically collected and recorded in a stable environment, resulting in a relatively small fluctuation range. Furthermore, "table-to-tank transfer supervision" is relatively simple to operate, mainly involving data verification and document management. The fluctuation range is primarily affected by the data recording and verification process, which can usually be performed in a relatively stable environment. Therefore, the detection error of "table-to-tank transfer supervision" is small.

[0043] In the fourth embodiment, determining the actual data items to be collected, the standard data items, and the fluctuation range for the handover service includes: when the handover method corresponding to a handover service is tank handover table supervision, the actual data items to be collected for the handover service are instrument quantities, the standard data items are tank quantities, and the fluctuation range is a fourth fluctuation range, wherein the instrument quantities include both the extraction rate and extraction time (or the extraction quantity) displayed by the instrument. The fourth fluctuation range is equal to the first fluctuation range.

[0044] Considering the precise filling quantity and real-time instrument monitoring characteristics of the "tank handover table supervision" method, the potential for significant detection errors is high. Therefore, a fourth fluctuation range for the error rate can be set to [-0.1, 0.1]. Besides being affected by data recording and verification processes, "tank handover table supervision" also involves assessing the physical condition and performance of the tank itself. These assessments are potentially influenced by more external factors and operational errors. In addition to these operations, actual tank inspection, measurement, and evaluation are required. These operations are more complex and more susceptible to external factors and human error. The fluctuation range is affected not only by data recording but also by various factors such as the physical condition of the tank, the accuracy of measuring equipment, and the skill of the operators. Therefore, the detection error of "tank handover table supervision" is relatively large.

[0045] The four fluctuation ranges mentioned above refer to the acceptable ranges set for differences between different handover methods during the comparison process. When the actual difference exceeds this range, the comparison model will determine it as abnormal and trigger the corresponding alarm mechanism.

[0046] Step S103: Collect the actual data items of the handover service.

[0047] For example, in oil handover operation 1, IoT technology is used to automatically collect and record the key quantity of ships; in oil handover operations 2 and 4, IoT technology is used to automatically collect and record both extraction rate and extraction time (or extraction volume); in oil handover operation 3, IoT technology is used to automatically collect and record the key quantity of ships, forming a unified data view. This reduces manual intervention, helps to reduce human error and improper operation, improves data accuracy and recording efficiency, and thus improves the accuracy of measurement.

[0048] Given the diversity and complexity of business data, a microservice architecture can be adopted to ensure efficient data storage and fast access, while providing powerful data processing capabilities to meet the needs of real-time analysis and decision-making. Furthermore, the collected data can be preprocessed and cleaned to further improve data quality.

[0049] Step S104: Determine the actual handover quantity based on the actual data items of the handover service, and determine the standard handover quantity based on the standard data items.

[0050] In the first embodiment, when the handover method corresponding to the handover business is commodity inspection tanker ship supervision, the step of determining the actual handover quantity based on the actual data items of the handover business includes: determining the actual handover quantity based on the number of ships, the number of ship holds on each ship, and the storage capacity of each ship hold.

[0051] Accordingly, determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the quantity of the commercial inspection tanks and the storage capacity of each tank.

[0052] Specifically, the actual material transfer quantity can be determined by multiplying the number of ships collected, the number of ship holds, and the storage capacity of each ship hold. The standard material transfer quantity can be determined by multiplying the number of inspection tanks provided by the mapping table (the number of inspection tanks) and the number of tank compartments (e.g., the storage capacity of the tanks).

[0053] In the second embodiment, when the handover method corresponding to the handover business is the commodity inspection tank quantity supervision, the step of determining the actual handover quantity based on the actual data items of the handover business includes: determining the product of the extraction rate and the extraction time or the extraction quantity as the actual handover quantity.

[0054] Accordingly, determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the quantity of the commercial inspection tanks and the storage capacity of each tank.

[0055] Specifically, the actual material transfer quantity can be determined by multiplying the extraction rate and time (or the extraction volume). The standard material transfer quantity can be determined by multiplying the inspection tank quantity (the number of inspection tanks, which refers to the number of tanks on the ship and the inspection tank quantity after unloading from the ship to land for inspection) provided by the mapping table and the tank compartment (e.g., the tank's storage capacity).

[0056] In the third embodiment, when the handover method corresponding to the handover service is table-based handover tank supervision, determining the actual handover quantity based on the actual data items of the handover service includes: determining the actual handover quantity based on the tank quantity and the storage capacity of each tank.

[0057] Accordingly, determining the standard handover quantity based on the standard data item includes: determining the product of the standard extraction rate and the standard extraction time or the standard extraction quantity as the standard handover quantity.

[0058] Specifically, the actual material transfer quantity can be determined by multiplying the collected tank quantity (number of tanks) and the tank compartments (e.g., tank storage capacity). Alternatively, the actual material transfer quantity can be determined by multiplying the standard extraction rate and standard time (or standard extraction quantity) provided by the mapping table.

[0059] In the fourth embodiment, when the handover method corresponding to the handover service is tank handover table supervision, determining the actual handover quantity based on the actual data items of the handover service includes: determining the product of the extraction rate and the extraction time or the extraction quantity as the actual handover quantity.

[0060] Accordingly, determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the tank quantity and the storage capacity of each tank.

[0061] Specifically, the actual material transfer quantity can be determined by multiplying the extraction rate and time (or the extraction volume). The standard material transfer quantity can be determined by multiplying the tank quantity (number of tanks) provided by the mapping table and the tank compartment (e.g., tank capacity).

[0062] Step S105: Determine whether the handover service is abnormal based on whether the comparison result between the actual handover volume and the standard handover volume exceeds the corresponding fluctuation range.

[0063] The comparison result is a difference or a difference rate. The difference rate between the actual handover quantity and the standard handover quantity is equal to the ratio of the difference between the actual handover quantity and the standard handover quantity to the standard handover quantity.

[0064] Those skilled in the art will understand that the fluctuation range is adapted to the comparison result. For example, when the comparison result is a difference, the fluctuation range is the range for the difference; when the comparison result is a difference rate, the fluctuation range is the range for the difference rate.

[0065] If the difference between the actual handover volume and the standard handover volume exceeds the corresponding fluctuation range, the handover operation is determined to be abnormal, and an alarm mechanism can be triggered simultaneously so that relevant personnel can quickly understand the problem and take appropriate measures; otherwise, the handover operation is determined to be normal. A tolerance configuration can be set to trigger the alarm mechanism. This embodiment uses a comparison model to detect abnormal differences between the handover volume and the monitored volume, promptly identifying potential measurement problems and preventing further losses.

[0066] In this embodiment, the comparison model calculates the difference and difference rate through a set handover method, which can intuitively display the differences between data items, thereby judging the accuracy and reliability of the measurement data. For a large number of different types of data, there are different calculation methods than for a single data type. This is because the characteristics, structure, and source of data may vary depending on the type. Therefore, specific methods are needed to accurately calculate the difference and difference rate while reflecting the particularities. This allows enterprises to better understand the material handover situation and ensure the accuracy and efficiency of handover activities.

[0067] The various embodiments of this invention provide a measurement single model, which is a structured model that employs appropriate methods to handle different types of data, ensuring data accuracy and consistency. The aforementioned data items each play different roles in the measurement single model, collectively constituting a complete measurement and handover process. First, a suitable handover method is selected. Second, the comparison results are analyzed in detail to determine the accuracy, completeness, and consistency of the measurement data. Third, based on the comparison results, potential differences, errors, or problems are identified, and their nature and causes are determined. Finally, after the handover is completed, both parties jointly confirm the handover content and results, ensuring the transparency and traceability of the handover process. Through the analysis of historical data, the model can reveal data trends and patterns, enabling the formulation of more scientific and reasonable decision-making schemes and improving the quality and effectiveness of decision-making.

[0068] By defining standardized measurement data items, comparison models, and handover methods, the model ensures that measurement activities comply with relevant regulations and standards, reducing errors caused by improper operation or inconsistent standards. Simultaneously, the model promotes standardization of internal measurement work within enterprises, improving overall work efficiency and quality. The model clarifies handover methods and standards, standardizes handover processes, and improves the efficiency and accuracy of handover. This helps reduce disputes and losses caused by unclear or delayed handovers.

[0069] In data analysis, big data processing and analysis technologies are employed to deeply mine and analyze massive amounts of data. These technologies play a crucial role in the field of data analysis, not only improving the efficiency and accuracy of data processing but also providing strong support for in-depth mining and analysis. In-depth analysis is conducted using methods such as group analysis, indicator analysis, visualization analysis, and real-time analysis. These technologies reveal correlations and patterns between data, uncovering potential problems and improvement directions in the material handover process. Group analysis identifies the mutual influence between different stages of the material handover process, such as handover form settlement, supervision form settlement, form comparison, and commodity inspection tank / ship supervision. Indicator analysis reveals key characteristics of the data, such as customizing tolerances for each measurement point to quickly identify out-of-tolerance data. Visualization analysis clearly shows bottlenecks, anomalies, and improvement potential in the material handover process, such as displaying a graphical representation of the material handover data module on a comprehensive display page. Real-time analysis enables immediate processing of abnormal data and returns correct results, such as determining whether data fluctuations are abnormal by retrieving data in real time.

[0070] Various embodiments of the present invention integrate the handover method configuration, measurement data items, and comparison models, such as... Figure 2 As shown, a complete metrology management and monitoring system is formed to solve the problem of unstructured metrology data and realize the structured processing of metrology data, greatly improving the automation level of metrology management. This invention has a certain degree of flexibility and scalability; as the enterprise's business continues to develop and change, it can be adjusted and optimized according to actual needs to adapt to new metrology requirements and management requirements.

[0071] In summary, this invention creatively integrates the handover method configuration, measurement data items, and comparison process to form a complete measurement management and monitoring system. This system addresses the unstructured nature of existing measurement data, enables structured processing of measurement data, improves the accuracy and reliability of measurement data, promptly detects anomalies in the data, provides strong support for enterprise production, operation, and decision-making, and greatly enhances the automation level of measurement management.

[0072] Figure 3 This is a schematic diagram of the structure of a metering and monitoring system provided in an embodiment of the present invention. Figure 2As shown, the metering and monitoring system includes: a first determining device 10, used to determine the handover method corresponding to the handover service based on the service identifier and a mapping table, wherein the mapping table includes the correspondence between the service identifier and the handover method; a second determining device 20, used to determine the actual data items to be collected, standard data items, and fluctuation range of the handover service based on the handover method corresponding to the handover service; a collecting device 30, used to collect the actual data items of the handover service; a third determining device 40, used to determine the actual handover quantity based on the actual data items of the handover service, and to determine the standard handover quantity based on the standard data items; and a fourth determining device 50, used to determine that the handover service is abnormal when the comparison result between the actual handover quantity and the standard handover quantity of any handover service exceeds the corresponding fluctuation range.

[0073] For specific details and benefits of the metering monitoring system provided in the embodiments of the present invention, please refer to the above description of the metering monitoring method, which will not be repeated here.

[0074] One embodiment of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the aforementioned metering and monitoring method.

[0075] One embodiment of the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the method for determining health status.

[0076] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the specific details of the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0077] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0078] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0079] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. A metering and monitoring method, characterized in that, The metering and monitoring method includes: Based on the service identifier and mapping table of the handover service, determine the handover method corresponding to the handover service, wherein the mapping table includes the correspondence between the service identifier and the handover method; Based on the handover method corresponding to the handover service, determine the actual data items to be collected, standard data items, and fluctuation range of the handover service; Collect the actual data items of the handover service; The actual handover quantity is determined based on the actual data items of the handover service, and the standard handover quantity is determined based on the standard data items; and Whether the handover operation is abnormal is determined by comparing the actual handover volume with the standard handover volume to see if the result exceeds the corresponding fluctuation range.

2. The metering and monitoring method according to claim 1, characterized in that, The process of determining the actual data items to be collected, the standard data items, and the fluctuation range for the handover service includes: When the handover method corresponding to the handover operation is commodity inspection tank quantity and ship supervision, the actual data item to be collected for this handover operation is determined to be ship quantity, the standard data item is commodity inspection tank quantity, and the fluctuation range is the first fluctuation range. Determining the actual handover volume based on the actual data items of the handover operation includes: determining the actual handover volume based on the number of ships, the number of cargo holds on each ship, and the storage capacity of each cargo hold. The step of determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the quantity of the commercial inspection tanks and the storage capacity of each tank.

3. The metering and monitoring method according to claim 1, characterized in that, The process of determining the actual data items to be collected, the standard data items, and the fluctuation range for the handover service includes: When the handover method corresponding to the handover operation is the supervision of the commodity inspection tank gauge, the actual data item to be collected for this handover operation is determined to be the instrument quantity, the standard data item is the commodity inspection tank quantity, and the fluctuation range is the second fluctuation range. The instrument quantity includes both the extraction rate and extraction time displayed by the instrument, or the extraction quantity. The step of determining the actual handover quantity based on the actual data items of the handover service includes: determining the actual handover quantity as the product of the extraction rate and the extraction time or the extraction quantity. The step of determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the quantity of the commercial inspection tanks and the storage capacity of each tank.

4. The metering and monitoring method according to claim 1, characterized in that, The process of determining the actual data items to be collected, the standard data items, and the fluctuation range for the handover service includes: When the handover method corresponding to the handover operation is table-based handover with tank supervision, the actual data item to be collected for this handover operation is determined to be tank quantity, the standard data item is instrument quantity, and the fluctuation range is the third fluctuation range. The instrument quantity includes both the standard extraction rate and the standard extraction time displayed by the instrument, or the standard extraction quantity. Determining the actual handover quantity based on the actual data items of the handover operation includes: determining the actual handover quantity based on the tank quantity and the storage capacity of each tank. The step of determining the standard handover quantity based on the standard data item includes: determining the standard handover quantity as the product of the standard extraction rate and the standard extraction time or the standard extraction quantity.

5. The metering and monitoring method according to claim 1, characterized in that, The process of determining the actual data items to be collected, the standard data items, and the fluctuation range for the handover service includes: When the handover method corresponding to the handover operation is tank handover table supervision, the actual data items to be collected in this handover operation are instrument quantity, the standard data item is tank quantity, and the fluctuation range is the fourth fluctuation range. The instrument quantity includes both the extraction rate and extraction time displayed by the instrument, or the extraction quantity. The step of determining the actual handover quantity based on the actual data items of the handover service includes: determining the actual handover quantity as the product of the extraction rate and the extraction time or the extraction quantity. The step of determining the standard handover quantity based on the standard data items includes: determining the standard handover quantity based on the tank quantity and the storage capacity of each tank.

6. The metering and monitoring method according to claim 1, characterized in that, The metering and monitoring method also includes: Authenticate the user who enters a query command about the mapping table; If the authentication is successful, the user is prompted to enter the monitoring key for the handover service; Receive and verify the monitoring key entered by the user; and If the key verification is successful, the mapping table is obtained based on the received monitoring key.

7. The metering and monitoring method according to claim 1, characterized in that, The handover business refers to either oil or natural gas handover business.

8. The metering and monitoring method according to claim 1, characterized in that, The comparison result is the difference or difference rate.

9. A metering and monitoring system, characterized in that, The metering and monitoring system includes: The first determining device is used to determine the handover method corresponding to the handover service based on the service identifier of the handover service and a mapping table, wherein the mapping table includes the correspondence between the service identifier and the handover method; The second determining device is used to determine the actual data items to be collected, standard data items, and fluctuation range of the handover service according to the handover method corresponding to the handover service; The data acquisition device is used to acquire the actual data items of the handover service; The third determining device is used to determine the actual handover quantity based on the actual data items of the handover service, and to determine the standard handover quantity based on the standard data items; and The fourth determining device is used to determine whether the handover service is abnormal based on whether the comparison result between the actual handover volume and the standard handover volume exceeds the corresponding fluctuation range.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the metering and monitoring method according to any one of claims 1-8.

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