A full-process business overall management system of a pry-mounted station

Abstract

The application discloses a kind of pry dress station whole-process business unified management system, belong to pry dress station operation and maintenance management technical field, specifically include: by obtaining the standard working condition characteristic record corresponding to each filling node;Determine abnormal business event based on the standard working condition characteristic record of adjacent filling transaction of the same filling node and carry out multi-node horizontal comparison, obtain single-point business exception and regional business exception;For the affected filling node judged as regional business exception, the corresponding historical business index reference record is called back, and the real-time environmental parameters and the standard working condition characteristic record are obtained as real-time business index records, and the attribution distinction of environmental parameter fluctuation and oil change is realized by comparing the differences of the associated characteristics of the two records.The application realizes the progressive analysis from anomaly detection to cause attribution, narrows down the troubleshooting range, reduces unnecessary manual troubleshooting and downtime, and improves the efficiency of pry dress station operation and maintenance disposal.

Description

Technical Field

[0001] This invention relates to the field of skid-mounted station operation and maintenance management technology, specifically to a skid-mounted station full-process business coordination and management system. Background Technology

[0002] A skid-mounted refueling station is a mobile refueling facility that integrates a storage tank, dispensing machine, and control device onto a single base. It is widely used in logistics stations, industrial and mining enterprises, and for the terminal distribution of refined oil products in remote areas. Skid-mounted stations typically supply fuel from a single storage tank to multiple dispensing nozzles. The fuel delivery lines for each nozzle are connected in parallel to the same main fuel supply pipeline, and dispensing operations are primarily conducted independently with each nozzle. During dispensing, the fluid pressure within the pipeline is determined by the pump outlet pressure, pipeline friction resistance, and fuel viscosity. Any change in pipeline resistance characteristics or any alteration in fuel flowability will directly result in a deviation in pipeline pressure during dispensing. Therefore, maintaining the dispensing pressure within the normal range is fundamental to ensuring reliable equipment operation.

[0003] In existing technologies, to ensure the normal operation of refueling equipment, regular maintenance and periodic sampling and testing of oil quality are commonly adopted. Maintenance personnel disassemble, inspect, clean, and replace the refueling gun seals, oil pipeline connections, and storage tank outlet filters according to a pre-set fixed schedule. By replacing aged seals and removing deposits from the inner walls of the pipelines, potential pressure anomalies caused by narrowed flow channels or failed seals are eliminated. Simultaneously, oil samples are extracted from the storage tank at fixed intervals for offline testing of viscosity, density, and impurity content. When test results show that the oil properties deviate from the acceptable range, the oil in the storage tank is replaced or purified.

[0004] In practice, due to differences in usage frequency, batch of fuel, and operating force, the actual wear rate of the seals and the accumulation rate of deposits on the inner wall of the pipeline differ among the various refueling guns. Consequently, the degree of deviation in pipeline resistance characteristics varies among different refueling guns within the same cycle. Before the preset maintenance cycle arrives, refueling guns with faster wear or greater deposit accumulation already exhibit pressure characteristic deviations, even before maintenance is triggered, and these deviations persist for the remaining cycles. The aforementioned periodic oil quality testing relies on laboratory results at discrete sampling times, and the test results only characterize the oil state at the sampling time. The viscosity of the oil in the storage tank continuously changes due to fluctuations in ambient temperature, and the viscosity change process between two sampling times cannot be captured by single-point sampling results. When the oil viscosity continuously drifts during the testing interval, the pipeline pressure during the refueling process also drifts synchronously, and this drift cannot be retrospectively attributed to the sampling results of the next testing cycle.

[0005] When maintenance personnel detect pressure deviations during routine pressure monitoring, the changes in flow channel cross-section caused by accumulated deposits on the pipeline inner wall, the increased local resistance due to wear of the filling gun seals, and the altered friction resistance caused by oil viscosity drift all manifest as an overall increase or decrease in the pressure value output by a single pressure sensor. The pressure characteristics of these three causes overlap, making it impossible to distinguish the specific cause of the pressure deviation from a single pressure value. Maintenance personnel must systematically check the mechanical components of the filling gun, the condition of the pipeline inner wall, and the quality of the oil in the storage tank. The scope of fault location cannot be narrowed down beforehand, limiting the efficiency of the troubleshooting process. Summary of the Invention

[0006] The purpose of this invention is to provide a comprehensive management system for the entire process of skid-mounted stations, addressing the following technical problems:

[0007] In the existing skid-mounted station refueling gun pressure monitoring, the timing of equipment maintenance is fixed and disconnected from the actual wear of each gun and the accumulation of deposits in the pipeline. Oil quality testing uses discrete sampling results to represent a continuous and gradual viscosity process. As a result, pipeline deposits, seal wear and oil viscosity drift all show an overall deviation in pressure values, making it impossible to distinguish the causes. Consequently, the scope of troubleshooting cannot be narrowed in advance when pressure is abnormal.

[0008] The objective of this invention can be achieved through the following technical solutions: A skid-mounted station end-to-end business management system, comprising: The business condition construction module is used to obtain the characteristic values ​​of the injection process and environmental parameters corresponding to each injection transaction of each injection node and perform normalization processing to form a standard business condition characteristic record. The abnormal impact assessment module is used to determine abnormal business events based on the standard operating condition characteristic records of adjacent refueling transactions at the same refueling node, obtain abnormal business event records of other refueling nodes associated with the same oil storage unit in the corresponding period, and if the abnormal business event only involves the current refueling node, it is determined to be a single-point business abnormality; if it involves multiple refueling nodes, it is determined to be a regional business abnormality and each involved refueling node is marked as an affected refueling node. The business indicator reference module is used to retrieve the historical environmental parameters and standard operating condition characteristic records of the affected refueling node as historical business indicator reference records when a regional business anomaly is determined, and to obtain the real-time environmental parameters and standard operating condition characteristic records after the occurrence of the regional business anomaly as real-time business indicator records. The operation and maintenance decision generation module is used to compare and determine the real-time business indicator record with the historical business indicator reference record. If the real-time business indicator record does not exceed the business tolerance range of the historical business indicator reference record, the business anomaly concern is lifted; if it exceeds the tolerance range, the regional business anomaly is determined to be caused by the change in oil properties, and an oil quality verification and sampling scheduling work order is generated.

[0009] As a further aspect of the present invention: the specific generation process of the standard operating condition feature record in the business operating condition construction module is as follows: Multiple sets of injection process feature values ​​recorded by each injection node in a single injection transaction according to the acquisition time sequence, as well as the environmental parameters corresponding to the injection transaction, are obtained. The injection process feature values ​​of each set in the same injection transaction are arranged according to the acquisition time sequence to form the injection process feature sequence of the injection transaction. The start value and end value of the injection process feature sequence in the injection process dimension are determined, and the injection process interval from the start value to the end value is divided into a preset number of equal intervals, with the endpoints between each equal interval as normalized process nodes. In the injection process feature sequence, the injection process feature values ​​corresponding to each normalized process node are extracted, and the extracted injection process feature values ​​are arranged in the order of the normalized process nodes and associated with the environmental parameters corresponding to the injection transaction for storage, constituting the standard working condition feature record of the injection transaction.

[0010] As a further aspect of the present invention: the specific determination process for abnormal business events in the abnormal impact assessment module is as follows: Obtain the standard operating condition feature record of the current injection transaction at the same injection node, as well as the standard operating condition feature record of the previous injection transaction at the same injection node. Perform difference calculation on the injection process feature values ​​corresponding to the same normalized process node in the standard operating condition feature records of the two injection transactions one by one to obtain the feature difference value at each normalized process node. Sum the absolute values ​​of each feature difference value to obtain the total operating condition deviation of the current injection transaction. Compare the total operating condition deviation with a preset deviation threshold. If the total operating condition deviation is greater than the preset deviation threshold, mark the current injection transaction as an abnormal business event.

[0011] As a further aspect of the present invention: the abnormal impact assessment module further includes, if no abnormal business event records are generated by other refueling nodes associated with the same oil storage unit within the corresponding period, then continuously record the abnormal business events generated in subsequent refueling transactions of the current refueling node, and arrange the total operating condition deviations corresponding to each abnormal business event in the order of occurrence to form an abnormal deviation sequence. Obtain the total deviation of the current injection node from the historical normal injection transactions, arrange them in the order of occurrence to form a historical normal deviation sequence, divide the historical normal deviation sequence into several subsequences, calculate the deviation fluctuation degree of each subsequence, and use the minimum and maximum values ​​of the deviation fluctuation degree of each subsequence as the lower limit and upper limit of normal fluctuation, respectively. Extract the total operating condition deviation corresponding to the most recent consecutive preset number of abnormal business events from the abnormal deviation sequence to form a truncated abnormal deviation sequence, and calculate the deviation fluctuation degree of the truncated abnormal deviation sequence as the recent abnormal fluctuation degree; If the recent abnormal fluctuation level is lower than the lower limit of normal fluctuation and lower than the deviation fluctuation level of the abnormal deviation sequence, then the current abnormal business event is determined to be a single-point business abnormality; if the recent abnormal fluctuation level is not lower than the lower limit of normal fluctuation and not higher than the upper limit of normal fluctuation, then the current abnormal business event is determined to be a regional business abnormality, and the current betting node is marked as an affected betting node; if the recent abnormal fluctuation level is higher than the upper limit of normal fluctuation, then no determination is made for the time being, and subsequent abnormal business events are accumulated, the abnormal deviation sequence and the truncated abnormal deviation sequence are updated, the recent abnormal fluctuation level is recalculated and a comparison is performed.

[0012] As a further aspect of the present invention: the specific construction process of the historical business indicator reference record in the business indicator reference module is as follows: The environmental parameters and standard operating condition characteristic records corresponding to each injection transaction of the affected injection node within a preset historical time period are retrieved. The environmental parameters and standard operating condition characteristic records of the same injection transaction are grouped into a historical reference data pair. All historical reference data pairs are arranged in ascending order according to the environmental parameter values ​​to form a historical reference data pair sequence. The historical reference data pair sequence is segmented, and a preset number of historical reference data pairs with adjacent environmental parameter values ​​are grouped into the same data segment. The correlation relationship of the historical reference data pairs within each data segment is extracted to obtain the intra-segment correlation rules corresponding to each data segment. The intra-segment correlation rules of all data segments are concatenated along the dimension of environmental parameter values ​​to form the fluctuation benchmark of the standard operating condition characteristic records of the affected injection node within each environmental parameter value range. The fluctuation benchmark is the historical business indicator reference record.

[0013] As a further aspect of the present invention: the specific generation process of the real-time business indicator record in the business indicator reference module is as follows: After a regional business anomaly occurs, the environmental parameters and standard operating condition characteristic records corresponding to each injection transaction of the affected injection node are obtained. The environmental parameters and standard operating condition characteristic records of the same injection transaction are grouped into a real-time reference data pair. All real-time reference data pairs are arranged in ascending order according to the environmental parameter values ​​to form a real-time reference data pair sequence. The real-time reference data pair sequence is segmented, and a predetermined number of real-time reference data pairs with adjacent environmental parameter values ​​are grouped into the same data segment. The correlation relationship of the real-time reference data pairs within each data segment is extracted to obtain the intra-segment real-time correlation rules corresponding to each data segment. The intra-segment real-time correlation rules of all data segments are concatenated along the environmental parameter value dimension to form the real-time fluctuation benchmark of the standard operating condition characteristic records of the affected injection node within each environmental parameter value range after the regional business anomaly occurs. The real-time fluctuation benchmark is the real-time business indicator record.

[0014] As a further aspect of the present invention: the specific process of comparing and determining the real-time business indicator records with the historical business indicator reference records in the operation and maintenance decision generation module is as follows: The rate of change of intra-segment association rules in each data segment of the historical business indicator reference record is extracted as the historical segment change rate. The rate of change of intra-segment real-time association rules in the corresponding data segment of the real-time business indicator record is extracted as the real-time segment change rate. The difference between the historical segment change rate and the real-time segment change rate corresponding to the same environmental parameter value range is calculated one by one to obtain the change rate difference for each environmental parameter value range. The absolute values ​​of the change rate differences are summed to obtain the total change rate deviation. The baseline values ​​of the intra-segment association rules of each data segment in the historical business indicator reference record are extracted as the historical segment baseline values. The baseline values ​​of the intra-segment real-time association rules of the corresponding data segment in the real-time business indicator record are extracted as the real-time segment baseline values. The historical segment baseline values ​​and the real-time segment baseline values ​​corresponding to the same environmental parameter value range are calculated one by one to obtain the baseline value difference for each environmental parameter value range. The absolute values ​​of the baseline value differences are summed to obtain the total baseline value deviation. The total deviation of the rate of change and the total deviation of the benchmark value are weighted and summed according to a preset weight to obtain the comprehensive deviation. If the comprehensive deviation does not exceed the preset business tolerance, the business anomaly is removed from the list. If the comprehensive deviation exceeds the preset business tolerance, the regional business anomaly is determined to be caused by changes in the properties of the oil, and an oil quality verification and sampling dispatch work order is generated.

[0015] As a further aspect of the present invention, the environmental parameter value range is determined by the range of environmental parameters covered by each data segment in the historical business indicator reference record; when there is no corresponding data segment for a certain environmental parameter value range in the real-time business indicator record, the difference in the rate of change of that environmental parameter value range and the difference in the benchmark value are both taken as zero, and are not included in the sum of the total deviation of the rate of change and the total deviation of the benchmark value; when there is an environmental parameter value range in the real-time business indicator record that is not covered by the historical business indicator reference record, that environmental parameter range is not included in the calculation of the comprehensive deviation.

[0016] As a further aspect of the present invention: the operation and maintenance decision generation module further includes, when a single point of business is determined to be abnormal, extracting the information of the refilling node involved in the abnormal business event, generating an equipment maintenance work order for the refilling node, and pushing the equipment maintenance work order to the operation and maintenance scheduling terminal.

[0017] The beneficial effects of this invention are: 1) This invention synchronously acquires the refueling process feature values ​​of each refueling node in each refueling transaction and performs normalization processing to form a standard operating condition feature record. This ensures that the comparison of adjacent refueling transactions always occurs at the same normalized process node. It is understood that changes in the working state of the refueling node pipeline are closely related to the refueling process. When the pipeline state of the refueling node changes due to the accumulation of deposits or component wear, this change will create a feature deviation at a specific process node in the standard operating condition feature record. By using the refueling process as the alignment benchmark for point-by-point comparison, refueling transactions with different refueling volumes and operating conditions can be unified under the same reference system. This eliminates alignment deviations caused by differences in refueling duration and changes in operating conditions, ensuring that the total operating condition deviation between adjacent refueling transactions accurately reflects the true change in the working state of the refueling node. This provides a quantitative basis directly corresponding to the actual state of the refueling node for the identification of abnormal business events.

[0018] 2) Upon detecting an abnormal business event, this invention first distinguishes the scope of the abnormal impact by comparing the refueling nodes associated with the same oil storage unit. When no other refueling node abnormal records are available for reference, it further analyzes the degree of deviation fluctuation in the total deviation sequence of continuous abnormal business events at a single node. It is understood that once an individual equipment failure occurs, the working state of the refueling node will continuously change and tend to stabilize in a new state. The total deviation of subsequent refueling transactions fluctuates slightly around this new state, the order of fluctuation in the deviation sequence increases, and the degree of deviation fluctuation decreases to below the historical normal fluctuation range. However, working state deviations caused by common factors fluctuate continuously with the continuous changes in environmental parameters or oil properties. The order of fluctuation in the deviation sequence is similar to the historical normal state, and the degree of deviation fluctuation remains between the upper and lower limits of the historical normal fluctuation. By using the upper and lower limits of the deviation fluctuation of the historical normal deviation sequence subsequence as a reference, and by comparing the recent abnormal fluctuation with the upper and lower limits and the overall deviation fluctuation of the abnormal deviation sequence, we can distinguish between individual equipment failures and common factor events from the structural changes in the fluctuation order of the deviation sequence. This enables autonomous hierarchical determination of abnormal causes, and narrows the scope of investigation without waiting for data comparison from other nodes.

[0019] 3) This invention establishes historical business indicator reference records and real-time business indicator records for affected refueling nodes. It uses segmented association rule extraction to characterize the correspondence between environmental parameter values ​​and the total deviation of operating conditions. By comparing the total deviation of the rate of change and the total deviation of the benchmark value within the same environmental parameter value range in the two records, the attribution of regional business anomalies is differentiated. It is understood that the working status of refueling nodes changes with environmental parameters in a stable and reproducible manner. The changes in the intra-segment association rules and the benchmark relationship within each environmental parameter value range in the historical business indicator reference record characterize the response characteristics of the total deviation of operating conditions to changes in environmental parameters under normal operating conditions. When regional business anomalies are caused by normal fluctuations in environmental parameters, the changes in each segment and the benchmark relationship in the real-time business indicator record remain consistent with the historical business indicator reference record. The total deviation of the rate of change and the total deviation of the benchmark value remain at a low level, indicating that the change in the total deviation of operating conditions is still within the explainable range of environmental parameters. When regional business anomalies are caused by changes in oil properties, the correspondence between oil properties and environmental parameters shifts overall. Under the same environmental parameters, the working status of refueling nodes changes, and the intra-segment benchmark relationship of some or all environmental parameter value ranges in real-time business indicator records shifts. The change relationship may also change due to changes in oil properties, resulting in an increase in the deviation of the change rate from the total amount and the deviation of the benchmark value from the total amount, exceeding the preset business tolerance. This effectively separates changes in oil properties from the normal influence of environmental parameters and triggers oil quality verification and sampling scheduling work orders. Attached Figure Description

[0020] The invention will now be further described with reference to the accompanying drawings.

[0021] Figure 1 This is a schematic diagram of the structure of a skid-mounted station full-process business coordination and management system according to the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Please see Figure 1 As shown, this invention is a skid-mounted station full-process business coordination and management system, comprising: The business condition construction module is used to obtain the characteristic values ​​of the injection process and environmental parameters corresponding to each injection transaction of each injection node, and perform normalization processing to form a standard business condition characteristic record.

[0024] Pressure sensors are installed on the oil delivery pipeline of each refueling nozzle, synchronously connected to the cumulative refueling volume pulse signal of the refueling machine. Synchronous acquisition is triggered the instant the refueling nozzle is opened, and the pipeline pressure value and corresponding cumulative refueling volume value at each sampling moment are combined into a set of sampling data. Multiple sets of refueling process characteristic values ​​are recorded in chronological order of acquisition time, along with environmental parameter values ​​during this refueling transaction. The start and end values ​​of the refueling process characteristic sequence in this refueling transaction are determined in the refueling process dimension. The refueling process interval from the start value to the end value is divided into a preset number of equal intervals, with the endpoints between each interval serving as normalized process nodes. The refueling process characteristic values ​​corresponding to each normalized process node are extracted from the refueling process characteristic sequence. The extracted refueling process characteristic values ​​are arranged in the order of the normalized process nodes and associated with the environmental parameter values ​​corresponding to this refueling transaction for storage, forming a standard operating condition characteristic record for this refueling transaction.

[0025] The abnormal impact assessment module is used to determine abnormal business events based on the standard operating condition characteristic records of adjacent refueling transactions at the same refueling node, obtain abnormal business event records of other refueling nodes associated with the same oil storage unit in the corresponding period, and determine that if the abnormal business event only involves the current refueling node, it is determined to be a single-point business abnormality; if it involves multiple refueling nodes, it is determined to be a regional business abnormality and each of the involved refueling nodes is marked as an affected refueling node.

[0026] Extract the standard operating condition feature record of the current injection transaction from the same injection node, as well as the standard operating condition feature record of the previous injection transaction at the same injection node. Perform difference calculations on the injection process feature values ​​corresponding to the same normalized process node in the standard operating condition feature records of the two injection transactions to obtain the feature difference value at each normalized process node. Sum the absolute values ​​of all feature differences to obtain the total operating condition deviation of the current injection transaction. Compare the total operating condition deviation with a preset deviation threshold. If the total operating condition deviation is greater than the preset deviation threshold, the current injection transaction is marked as an abnormal business event.

[0027] The occurrence period of an abnormal business event is defined by taking the time of occurrence of the abnormal business event as the center and taking the preset time intervals before and after it. Abnormal business event records of other refueling nodes associated with the same oil storage unit are obtained within this period. If abnormal business event records of other refueling nodes exist within the period, and only the current refueling node generates an abnormal business event, it is determined to be a single-point business anomaly; if at least one other refueling node also generates an abnormal business event, it is determined to be a regional business anomaly, and all refueling nodes that generated abnormal business events are marked as affected refueling nodes.

[0028] When no abnormal business events are recorded by other refueling nodes associated with the same oil storage unit within a period, abnormal business events generated in subsequent refueling transactions of the current refueling node are continuously recorded. The total operating condition deviation corresponding to each abnormal business event is arranged in chronological order to form an abnormal deviation sequence. The total operating condition deviation of the current refueling node in historical normal refueling transactions is obtained and arranged in chronological order to form a historical normal deviation sequence. The historical normal deviation sequence is divided into several subsequences, and the deviation fluctuation degree of each subsequence is calculated. The minimum and maximum values ​​of the deviation fluctuation degree of each subsequence are used as the lower limit and upper limit of normal fluctuation, respectively. The total operating condition deviation corresponding to the most recent consecutive preset number of abnormal business events is extracted from the abnormal deviation sequence to form a truncated abnormal deviation sequence. The deviation fluctuation degree of the truncated abnormal deviation sequence is calculated as the recent abnormal fluctuation degree.

[0029] If the recent abnormal fluctuation level is lower than the lower limit of normal fluctuation and lower than the deviation fluctuation level of the abnormal deviation sequence, the current abnormal business event is determined to be a single-point business anomaly. If the recent abnormal fluctuation level is not lower than the lower limit of normal fluctuation and not higher than the upper limit of normal fluctuation, the current abnormal business event is determined to be a regional business anomaly, and the current betting node is marked as an affected betting node. If the recent abnormal fluctuation level is higher than the upper limit of normal fluctuation, no determination is made for now, and subsequent abnormal business events continue to be accumulated, the abnormal deviation sequence is updated and truncated, the recent abnormal fluctuation level is recalculated, and a comparison is performed.

[0030] It is worth noting that when an individual equipment failure occurs, the operating state of the refueling node continuously changes and tends to stabilize at a new state. The total deviation of subsequent refueling transactions fluctuates slightly around this new state, the orderliness within the deviation sequence increases, and the degree of deviation fluctuation decreases accordingly, exceeding the lower limit of the historical normal fluctuation range. When a regional business anomaly occurs, the total deviation of operating conditions fluctuates continuously with the continuous changes in environmental parameters or oil properties. The degree of orderliness of the deviation sequence is similar to that of the historical normal state, and the degree of deviation fluctuation remains between the upper and lower limits of the historical normal fluctuation. Therefore, by jointly comparing the degree of recent abnormal fluctuation with the lower limit of normal fluctuation and the degree of deviation fluctuation of the abnormal deviation sequence, it is possible to distinguish between individual equipment failures and regional business anomalies in the structural changes of the fluctuation order of the deviation sequence, and to achieve autonomous hierarchical determination of the causes of anomalies.

[0031] The business indicator reference module is used to retrieve the historical environmental parameters and standard operating condition characteristic records of the affected refueling node as historical business indicator reference records when a regional business anomaly is determined, and to obtain the real-time environmental parameters and standard operating condition characteristic records after the occurrence of the regional business anomaly as real-time business indicator records. Temperature sensors are installed on the oil delivery pipeline of each refueling gun to record environmental parameter values ​​during each refueling transaction. Environmental parameter values ​​and standard operating condition characteristic records corresponding to each refueling transaction of the affected refueling node within a preset historical time period are retrieved. The environmental parameter values ​​and standard operating condition characteristic records of the same refueling transaction are grouped into a set of historical reference data. All historical reference data are arranged in ascending order of environmental parameter values ​​to form a historical reference data sequence. The historical reference data sequence is segmented, and a preset number of historical reference data with adjacent environmental parameter values ​​are grouped into the same data segment. The correlation relationships within each data segment are extracted to obtain the intra-segment correlation rules. The intra-segment correlation rules contain the change relationship and benchmark relationship between the environmental parameter values ​​and standard operating condition characteristic records within that data segment. The intra-segment correlation rules of all data segments are concatenated along the environmental parameter value dimension to form the fluctuation benchmark of the standard operating condition characteristic records of the affected refueling node within each environmental parameter value range. The environmental parameter range covered by each data segment is recorded as the environmental parameter value range, and this fluctuation benchmark is the historical business indicator reference record.

[0032] After a regional business anomaly occurs, the environmental parameter values ​​and standard operating condition characteristic records corresponding to each injection transaction of the affected injection nodes are obtained. The environmental parameter values ​​and standard operating condition characteristic records of the same injection transaction are grouped into a set of real-time reference data. All real-time reference data are arranged in ascending order of environmental parameter values ​​to form a real-time reference data sequence. The real-time reference data sequence is segmented, and a predetermined number of real-time reference data with adjacent environmental parameter values ​​are grouped into the same data segment. The correlation relationships within each data segment are extracted to obtain the intra-segment real-time correlation rules. The intra-segment real-time correlation rules include the change relationship and benchmark relationship between the environmental parameter values ​​and standard operating condition characteristic records within that data segment. The intra-segment real-time correlation rules of all data segments are concatenated along the environmental parameter value dimension to form the real-time fluctuation benchmark of the standard operating condition characteristic records of the affected injection nodes within each environmental parameter value range after the regional business anomaly occurs. This real-time fluctuation benchmark is the real-time business indicator record.

[0033] The operation and maintenance decision generation module is used to compare and determine the real-time business indicator record with the historical business indicator reference record. If the real-time business indicator record does not exceed the business tolerance range of the historical business indicator reference record, the business anomaly concern is lifted; if it exceeds the tolerance range, the regional business anomaly is determined to be caused by the change in oil properties, and an oil quality verification and sampling scheduling work order is generated. The historical segment change rate is obtained by extracting the changes in intra-segment association rules of each data segment in the historical business indicator reference record, and the real-time segment change rate is obtained by extracting the changes in intra-segment real-time association rules of the corresponding data segment in the real-time business indicator record. The historical segment change rate and the real-time segment change rate are then subtracted one by one for the same environmental parameter value range to obtain the change rate difference for each environmental parameter value range. The absolute values ​​of these differences are then summed to obtain the total deviation of the change rate. Similarly, the historical segment benchmark value is obtained by extracting the baseline relationship of intra-segment association rules of each data segment in the historical business indicator reference record, and the real-time segment benchmark value is obtained by extracting the baseline relationship of intra-segment real-time association rules of the corresponding data segment in the real-time business indicator record. The historical segment benchmark value and the real-time segment benchmark value of the same environmental parameter value range are then subtracted one by one to obtain the benchmark value difference for each environmental parameter value range. The absolute values ​​of these benchmark value differences are then summed to obtain the total benchmark value deviation.

[0034] The total deviation of the rate of change is weighted and summed with the total deviation of the benchmark value according to preset weights to obtain the comprehensive deviation. The comprehensive deviation is compared with the preset business tolerance. If the comprehensive deviation does not exceed the preset business tolerance, it indicates that the correlation characteristics between the real-time business indicator records and the historical business indicator reference records are consistent, and the change in the total deviation of the current operating condition is still within the normal influence range of environmental parameters. The regional business anomaly is attributed to environmental parameter fluctuations, and the business anomaly concern is lifted. If the comprehensive deviation exceeds the preset business tolerance, it indicates that the correlation characteristics between the real-time business indicator records and the historical business indicator reference records have deviated significantly, and the change in the total deviation of the operating condition has exceeded the explainable range of environmental parameters. The regional business anomaly is attributed to changes in oil properties, and an oil quality verification and sampling dispatch work order is generated for the corresponding oil storage unit.

[0035] The environmental parameter value range is determined by the range of environmental parameters covered by each data segment in the historical business indicator reference record. When there is no corresponding data segment for a certain environmental parameter value range in the real-time business indicator record, the difference in the rate of change of that environmental parameter value range and the difference in the benchmark value are both taken as zero, and are not included in the sum of the total deviation of the rate of change and the total deviation of the benchmark value. When there is an environmental parameter value range in the real-time business indicator record that is not covered by the historical business indicator reference record, that environmental parameter range is not included in the calculation of the comprehensive deviation. When a single point of business anomaly is determined, the information of the injection node involved in the abnormal business event is extracted, an equipment maintenance work order for that injection node is generated, and the equipment maintenance work order is pushed to the operation and maintenance scheduling terminal.

[0036] It is worth noting that when a regional business anomaly is identified, the changes in total operating condition deviation caused by normal fluctuations in environmental parameters and those caused by changes in oil properties exhibit different correlation characteristics. When environmental parameters fluctuate normally, the response of the total operating condition deviation to environmental parameters is consistent with historical patterns. The changes in real-time business indicator records and historical business indicator reference records within each environmental parameter value range remain close to the baseline relationship, and the overall deviation remains at a low level. When oil properties change, the correspondence between oil characteristics and environmental parameters shifts overall. Changes in the working status of refueling nodes under the same environmental parameters cause a shift in the baseline relationship of some or all environmental parameter value ranges in real-time business indicator records. The change relationship may also change due to changes in oil characteristics, leading to an increase in the overall deviation exceeding the preset business tolerance. Therefore, by comparing segmented correlation rules, effective separation of environmental parameter fluctuations and changes in oil properties can be achieved.

[0037] It is worth noting that in the skid-mounted station refueling scenario involved in this embodiment, each refueling gun is directly connected to the vehicle's fuel tank and the automatic refueling program is started during the refueling process. Each refueling transaction is automatically executed by the refueling control system according to preset refueling parameters. During the refueling process, the refueling flow rate is maintained at a stable level near the rated flow rate value, and the flow rate fluctuation is relatively small compared to the rated flow rate value. Since each refueling transaction uses the same model of refueling equipment and operates under similar system pressure conditions, the refueling flow rate characteristics of adjacent refueling transactions are consistent. Therefore, the pressure difference of the refueling process characteristic value of each refueling transaction at the same progress position mainly comes from the change of pipeline resistance characteristics at the refueling node or the change of oil properties in the oil storage unit, rather than the drastic fluctuation of the refueling flow rate. This provides a physical premise for the skid-mounted station to construct a standard operating condition characteristic record using the pressure data of a single refueling transaction, and to accurately determine the pipeline resistance characteristics or changes in oil properties by comparing the morphological differences of the characteristic record.

[0038] In a preferred embodiment of the present invention, the specific generation process of the standard operating condition feature record in the business operating condition construction module is as follows: Multiple sets of refueling process feature values ​​recorded by each refueling node in a single refueling transaction according to the acquisition time sequence are obtained, along with an environmental parameter value corresponding to that refueling transaction. The refueling process feature value acquisition device samples the working status of the refueling node at a fixed frequency. Simultaneously, the refueling process metering device outputs a cumulative refueling process pulse signal. Since the cumulative refueling process increases monotonically and irreversibly with the progress of the refueling transaction, a correspondence can be established between the refueling process feature value at each sampling time and a unique cumulative refueling process value. After mapping the refueling process feature values ​​at each sampling time to the cumulative refueling process value, they are arranged in ascending order of cumulative refueling process to form the refueling process feature sequence of this refueling transaction. The refueling process feature sequence maps the distribution of the working status of the refueling node in the process dimension to the distribution of the refueling process features in the process dimension. When the deposits on the inner wall of the refueling node pipeline accumulate in a certain section, causing the local flow channel cross-section to narrow, the state change corresponding to the narrowing position will be manifested as an offset of the refueling process feature value at a specific cumulative refueling process progress point in the refueling process feature sequence. In the standard operating condition feature record, the feature value of the refilling process at each position corresponds to a fixed progress position in the refilling transaction. The refilling process feature values ​​at the same position in the standard operating condition feature records of different refilling transactions represent the working status of the refilling node under the same progress, thus eliminating the problem of inconsistent alignment benchmarks caused by differences in the total refilling amount and fluctuations in operating conditions between different refilling transactions.

[0039] In another preferred embodiment of the present invention, the specific determination process for abnormal business events in the abnormal impact assessment module is as follows: Obtain the standard operating condition feature records of the current and previous injection transactions at the same injection node. Perform difference calculations on the injection process feature values ​​corresponding to the same normalized process node in both records to obtain the feature difference value at each normalized process node. Sum the absolute values ​​of these feature differences to obtain the total operating condition deviation of the current injection transaction. Compare the total operating condition deviation with a preset deviation threshold. If the total operating condition deviation exceeds the preset deviation threshold, mark the current injection transaction as an abnormal business event. When two adjacent refueling transactions are completed by the same refueling node within a similar time interval, and the pipeline condition and oil properties remain stable, the standard operating condition characteristic records of adjacent refueling transactions should be highly similar, and the total deviation of operating conditions should be kept at a low level. When the pipeline characteristics change due to changes in equipment condition or oil flowability, this change is directly reflected in the increased difference in the standard operating condition characteristic records of two adjacent refueling transactions, and the total deviation of operating conditions increases accordingly. By comparing adjacent refueling transactions, we can capture the state changes that occur between two refueling transactions, and avoid the missed detection caused by the smoothing of changes by long-term historical average records. The method of accumulating the absolute value of the feature difference has the ability to respond to both local and overall changes in each segment of the refueling node.

[0040] In another preferred embodiment of the present invention, the abnormal impact assessment module further includes a method for determining the scope of abnormal impact when no other refueling nodes associated with the same oil storage unit generate abnormal business event records within the occurrence period of an abnormal business event, making it impossible to determine the scope of abnormal impact through horizontal comparison of multiple nodes. In this case, the total operating condition deviation corresponding to subsequent abnormal business events of the current refueling node is continuously recorded, arranged in chronological order to form an abnormal deviation sequence, and the total operating condition deviation corresponding to the most recent consecutive preset number of abnormal business events is extracted from this sequence to form a truncated abnormal deviation sequence.

[0041] The deviation volatility of the abnormal deviation sequence and the recent abnormal volatility of the truncated abnormal deviation sequence are calculated. The deviation volatility measures the fluctuation order of the values ​​within the sequence. The closer the total deviation of each working condition and the narrower the fluctuation amplitude, the lower the deviation volatility and the higher the orderliness of the sequence. At the same time, the total working condition deviation of the betting node in historical normal betting transactions is obtained to form a historical normal deviation sequence and the historical baseline volatility is calculated. The historical normal deviation sequence is divided into several subsequences, and the deviation volatility of each subsequence is calculated. The minimum value is taken as the lower limit of normal volatility and the maximum value is taken as the upper limit of normal volatility. These upper and lower limits constitute a dynamic judgment interval based on the historical data of the betting node itself.

[0042] If the recent abnormal fluctuation level is lower than the lower limit of normal fluctuation and lower than the overall deviation fluctuation level of the abnormal deviation sequence, it indicates that the abnormal fluctuation has become more orderly and stable, which is consistent with the characteristic of the working state transitioning to a new state after an individual equipment failure and fluctuating slightly around that state. It is judged as a single point of business abnormality and an equipment maintenance work order is generated. If the recent abnormal fluctuation level is not lower than the lower limit of normal fluctuation and not higher than the upper limit of normal fluctuation, it indicates that the abnormal fluctuation order is still within the normal fluctuation range, which is consistent with the characteristic of regional business abnormality caused by the gradual change of environmental parameters or oil properties leading to continuous fluctuations in the total deviation of the working condition. It is judged as a regional business abnormality and marked as an affected refueling node. If the recent abnormal fluctuation level is higher than the upper limit of normal fluctuation, it indicates that the current data is not sufficient to make a reliable judgment. Continue to accumulate subsequent abnormal business events and update the sequence before re-comparing.

[0043] It is understandable that individual equipment failures and regional business anomalies differ fundamentally in their fluctuation patterns: In the former, once an anomaly occurs, the working state of the refueling node undergoes a step change and tends to stabilize, with fluctuations within the deviation sequence narrowing and increasing in order; in the latter, the fluctuation order is driven by continuous changes in common factors, and the fluctuation order of the deviation sequence is similar to that of normal operating conditions. By dividing historical normal deviation sequences into subsequences and extracting the upper and lower limits of deviation fluctuation, a dynamic judgment benchmark that adaptively adjusts according to the individual characteristics of the refueling node is established. Extracting truncated sequences to calculate the degree of recent abnormal fluctuations improves the ability to track recent trends. The continuous accumulation mechanism in the case of temporary indecision avoids erroneous judgments during periods of insufficient data, ensuring the reliability of the judgment results.

[0044] In another preferred embodiment of the present invention, the specific construction process of the historical business indicator reference record in the business indicator reference module is as follows: The environmental parameter values ​​and standard operating condition characteristic records corresponding to each refueling transaction at the affected refueling node within a preset historical time period are retrieved. These records are then grouped into a set of historical reference data. This historical reference data establishes a correspondence between the degree of deviation of the refueling node's operating state under specific environmental conditions. The principle is that changes in environmental parameters cause changes in the characteristics of the oil within the refueling node, thus affecting its operating state. Therefore, there is a correlation between environmental parameter values ​​and standard operating condition characteristic records determined by physical laws. All historical reference data are arranged in ascending order of environmental parameter values, forming a historical reference data sequence. This ascending order organizes the data according to the environmental parameters from low to high, facilitating subsequent segmentation based on environmental parameter values. The historical reference data sequence is then segmented, with a preset number of historical reference data points with adjacent environmental parameter values ​​grouped into the same data segment. The purpose of segmentation is to divide the entire environmental parameter range into several narrower environmental parameter sub-intervals. Within each sub-interval, the variation in environmental parameters is small, and the influence of environmental parameters on the standard operating condition characteristic records is approximately linear within that sub-interval. The historical reference data within each data segment is used to extract correlation relationships, resulting in intra-segment correlation rules for each data segment. These rules encompass the change relationships and benchmark relationships between environmental parameter values ​​and standard operating condition characteristic records within that data segment. The change relationship characterizes the rate and direction of change of the standard operating condition characteristic records with respect to environmental parameters within that environmental parameter sub-interval, while the benchmark relationship characterizes the benchmark level of the standard operating condition characteristic records within that environmental parameter sub-interval. The intra-segment correlation rules for all data segments are then concatenated sequentially along the environmental parameter value dimension according to the environmental parameter range they cover. The concatenated whole constitutes a segmented correlation relationship covering the entire historical environmental parameter range. By inputting any environmental parameter value falling within the historical environmental parameter range, the fluctuation benchmark of the corresponding standard operating condition characteristic record can be determined through the intra-segment correlation rules of the corresponding environmental parameter sub-interval. This segmented correlation relationship constitutes the historical business indicator reference record, which depicts the steady-state response pattern of the standard operating condition characteristic record to environmental parameter changes under normal operating conditions at the refueling node.

[0045] In another preferred embodiment of the present invention, the specific generation process of the real-time business indicator record in the business indicator reference module is as follows: After a regional business anomaly occurs, the environmental parameters and standard operating condition characteristic records corresponding to each injection transaction of the affected injection node are obtained. The environmental parameters and standard operating condition characteristic records of the same injection transaction are grouped into a real-time reference data pair. All real-time reference data pairs are arranged in ascending order according to the environmental parameter values ​​to form a real-time reference data pair sequence. The real-time reference data pair sequence is segmented, and a predetermined number of real-time reference data pairs with adjacent environmental parameter values ​​are grouped into the same data segment. The correlation relationship of the real-time reference data pairs within each data segment is extracted to obtain the intra-segment real-time correlation rules corresponding to each data segment. The intra-segment real-time correlation rules of all data segments are concatenated along the environmental parameter value dimension to form the real-time fluctuation benchmark of the standard operating condition characteristic records of the affected injection node within each environmental parameter value range after the regional business anomaly occurs. The real-time fluctuation benchmark is the real-time business indicator record.

[0046] In another preferred embodiment of the present invention, the specific process of comparing and determining the real-time business indicator records with the historical business indicator reference records in the operation and maintenance decision generation module is as follows: The historical segment change rate is obtained by extracting the changes in intra-segment association rules of each data segment in the historical business indicator reference record, and the real-time segment change rate is obtained by extracting the changes in intra-segment real-time association rules of the corresponding data segment in the real-time business indicator record. The historical segment change rate and the real-time segment change rate corresponding to the same environmental parameter value range are then subtracted one by one, and the absolute values ​​of each difference are summed to obtain the total deviation of the change rate. This total deviation reflects the overall difference in the sensitivity of the injection node's working status to environmental parameters between the real-time and historical stages. The baseline relationship of intra-segment association rules of each data segment in the historical business indicator reference record is extracted as the historical segment baseline value. The baseline relationship of intra-segment real-time association rules of the corresponding data segment in the real-time business indicator record is then extracted as the real-time segment baseline value. The historical segment baseline value and the real-time segment baseline value corresponding to the same environmental parameter value range are then subtracted one by one, and the absolute values ​​of each difference are summed to obtain the total deviation of the baseline value. This total deviation reflects the overall deviation of the injection node's working status baseline level between the real-time and historical stages. The total deviation of the change rate and the total deviation of the baseline value are then weighted and summed according to preset weights to obtain the comprehensive deviation.

[0047] Historical business performance reference records are built upon normal operating data for a preset historical period. The variation relationships and benchmark relationships of each environmental parameter range characterize the steady-state response of the refueling node to changes in environmental parameters under normal operating conditions. When regional business anomalies are caused by normal fluctuations in environmental parameters, neither the oil characteristics nor the pipeline characteristics of the refueling node change. The variation relationships and benchmark relationships in the real-time business performance record are basically consistent with the historical business performance reference records. The total deviation of the change rate and the total deviation of the benchmark value remain at a low level, and the overall deviation does not exceed the preset business tolerance. When regional business anomalies are caused by changes in oil properties, the oil characteristics change overall. Under the same environmental parameters, the operating state of the refueling node deviates from the historical normal level. The benchmark relationships in the real-time business performance record shift. At the same time, changes in the correspondence between oil characteristics and environmental parameters may also lead to changes in response sensitivity. The variation relationships in each segment change accordingly, and one or both of the total deviation of the change rate and the total deviation of the benchmark value increase significantly. The overall deviation exceeds the preset business tolerance.

[0048] By extracting and weighting the change relationship and the baseline relationship separately, two different types of deviation characteristics can be captured: changes in response sensitivity caused by oil quality changes and deviations from the baseline level of the working state. This avoids potential omissions due to a single indicator. When the overall deviation exceeds the preset business tolerance, an oil quality inspection and sampling scheduling work order is triggered. When the overall deviation does not exceed the preset business tolerance, the business anomaly concern is lifted. This achieves automatic separation of environmental parameter fluctuations and oil quality changes in regional business anomalies, reducing unnecessary sampling operations while ensuring that changes in oil properties are identified and handled in a timely manner.

[0049] In another preferred embodiment of the present invention, if a certain environmental parameter value range exists only in the historical business indicator reference record but the corresponding range has not yet been accumulated in the real-time business indicator record, the difference in the rate of change of this range and the difference in the benchmark value are zeroed and not included in the accumulation. This avoids incorrect inclusion of deviation due to missing data and ensures that the comprehensive deviation only reflects the true deviation within the range where both records have data. If an environmental parameter value range not covered by the historical business indicator reference record appears in the real-time business indicator record, this range lacks a historical reference benchmark and cannot be effectively compared, and is not included in the calculation of the comprehensive deviation, avoiding incomparability caused by the existence of data from only one party. The above processing ensures that the comprehensive deviation is always calculated based on comparable data in the overlapping environmental parameter value ranges of the two records. The calculation result can truly reflect the changes in the working status response pattern of the refueling node, rather than false differences introduced by inconsistent data coverage, providing a stable and reliable calculation basis for the operation and maintenance decision generation module to determine environmental parameter fluctuations and oil quality changes.

[0050] In another preferred embodiment of the present invention, the operation and maintenance decision generation module further includes a mechanism that, when a single-point business anomaly is determined, indicates that the anomaly only involves the current refueling node and is an individual equipment failure rather than a common factor at the oil storage unit level. In this case, the refueling node information involved in the abnormal business event is extracted, a maintenance work order for that refueling node is generated, and the work order is pushed to the operation and maintenance scheduling terminal. This directly transforms the anomaly determination result into an executable operation and maintenance task, achieving a closed-loop operation from anomaly detection to maintenance scheduling. Compared to the existing technology where operation and maintenance personnel need to check the mechanical components of the refueling gun, the condition of the pipeline inner wall, and the oil quality of the storage tank item by item, the automatic generation and push of maintenance work orders narrows the scope of fault investigation to the specific refueling node in advance, reducing the time consumption of manual judgment and task allocation, and improving operation and maintenance response efficiency.

[0051] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A skid-mounted station full-process business coordination and management system, characterized in that, include: The business condition construction module is used to obtain the characteristic values ​​of the injection process and environmental parameters corresponding to each injection transaction of each injection node and perform normalization processing to form a standard business condition characteristic record. The abnormal impact assessment module is used to determine abnormal business events based on the standard operating condition characteristic records of adjacent refueling transactions at the same refueling node, obtain abnormal business event records of other refueling nodes associated with the same oil storage unit in the corresponding period, and if the abnormal business event only involves the current refueling node, it is determined to be a single-point business abnormality; if it involves multiple refueling nodes, it is determined to be a regional business abnormality and each involved refueling node is marked as an affected refueling node. If no abnormal business event records are generated by other refueling nodes associated with the same oil storage unit within the corresponding period, then the abnormal business events generated in the subsequent refueling transactions of the current refueling node are continuously recorded, and the total deviation of the working condition corresponding to each abnormal business event is arranged in the order of occurrence to form an abnormal deviation sequence. Obtain the total deviation of the current injection node from the historical normal injection transactions, arrange them in the order of occurrence to form a historical normal deviation sequence, divide the historical normal deviation sequence into several subsequences, calculate the deviation fluctuation degree of each subsequence, and use the minimum and maximum values ​​of the deviation fluctuation degree of each subsequence as the lower limit and upper limit of normal fluctuation, respectively. Extract the total operating condition deviation corresponding to the most recent consecutive preset number of abnormal business events from the abnormal deviation sequence to form a truncated abnormal deviation sequence, and calculate the deviation fluctuation degree of the truncated abnormal deviation sequence as the recent abnormal fluctuation degree; If the recent abnormal fluctuation level is lower than the lower limit of normal fluctuation and lower than the deviation fluctuation level of the abnormal deviation sequence, then the current abnormal business event is determined to be a single point of business abnormality. If the recent abnormal fluctuation level is not lower than the lower limit of normal fluctuation and not higher than the upper limit of normal fluctuation, then the current abnormal business event is determined to be a regional business abnormality, and the current betting node is marked as an affected betting node; If the recent abnormal fluctuation level is higher than the normal fluctuation limit, no judgment is made for the time being, and subsequent abnormal business events are accumulated. The abnormal deviation sequence and the truncated abnormal deviation sequence are updated, the recent abnormal fluctuation level is recalculated and a comparison is performed. The business indicator reference module is used to retrieve the historical environmental parameters and standard operating condition characteristic records of the affected refueling node as historical business indicator reference records when a regional business anomaly is determined, and to obtain the real-time environmental parameters and standard operating condition characteristic records after the occurrence of the regional business anomaly as real-time business indicator records. The operation and maintenance decision generation module is used to compare and determine the real-time business indicator record with the historical business indicator reference record. If the real-time business indicator record does not exceed the business tolerance range of the historical business indicator reference record, the business anomaly concern is lifted; if it exceeds the tolerance range, the regional business anomaly is determined to be caused by the change in oil properties, and an oil quality verification and sampling scheduling work order is generated. The specific process for comparing and determining real-time business metrics records with the historical business metrics reference records is as follows: The rate of change of intra-segment association rules in each data segment of the historical business indicator reference record is extracted as the historical segment change rate. The rate of change of intra-segment real-time association rules in the corresponding data segment of the real-time business indicator record is extracted as the real-time segment change rate. The difference between the historical segment change rate and the real-time segment change rate corresponding to the same environmental parameter value range is calculated one by one to obtain the change rate difference for each environmental parameter value range. The absolute values ​​of the change rate differences are summed to obtain the total change rate deviation. The baseline values ​​of the intra-segment association rules of each data segment in the historical business indicator reference record are extracted as the historical segment baseline values. The baseline values ​​of the intra-segment real-time association rules of the corresponding data segment in the real-time business indicator record are extracted as the real-time segment baseline values. The historical segment baseline values ​​and the real-time segment baseline values ​​corresponding to the same environmental parameter value range are calculated one by one to obtain the baseline value difference for each environmental parameter value range. The absolute values ​​of the baseline value differences are summed to obtain the total baseline value deviation. The total deviation of the rate of change and the total deviation of the benchmark value are weighted and summed according to preset weights to obtain the comprehensive deviation. If the overall deviation does not exceed the preset service tolerance, then the service abnormality concern will be lifted; If the overall deviation exceeds the preset business tolerance, the regional business anomaly is determined to be caused by a change in the properties of the oil, and an oil quality verification and sampling scheduling work order is generated.

2. The skid-mounted station full-process business coordination and management system according to claim 1, characterized in that, The specific generation process of the standard operating condition feature record in the business operating condition construction module is as follows: Obtain multiple sets of injection process feature values ​​recorded by each injection node in a single injection transaction according to the collection time sequence, as well as the environmental parameters corresponding to the injection transaction. Arrange the injection process feature values ​​of each set in the same injection transaction according to the collection time sequence to form the injection process feature sequence of the injection transaction. The starting and ending values ​​of the injection process feature sequence in the injection process dimension are determined. The injection process interval from the starting value to the ending value is divided into a preset number of equal intervals, and the endpoints between each equal interval are used as normalized process nodes. In the injection process feature sequence, the injection process feature values ​​corresponding to each normalized process node are extracted. The extracted injection process feature values ​​are arranged in the order of the normalized process nodes and associated with the environmental parameters corresponding to the injection transaction for storage, thus forming the standard working condition feature record of the injection transaction.

3. The skid-mounted station full-process business coordination and management system according to claim 1, characterized in that, The specific determination process for abnormal business events in the abnormal impact assessment module is as follows: Obtain the standard operating condition feature record of the current injection transaction of the same injection node, as well as the standard operating condition feature record of the previous injection transaction of the same injection node. Perform difference calculation on the injection process feature values ​​corresponding to the same normalized process node in the standard operating condition feature records of the two injection transactions one by one to obtain the feature difference value at each normalized process node. Sum the absolute values ​​of each feature difference value to obtain the total operating condition deviation of the current injection transaction. The total deviation of the operating condition is compared with a preset deviation threshold. If the total deviation of the operating condition is greater than the preset deviation threshold, the current injection transaction is marked as an abnormal business event.

4. The skid-mounted station full-process business coordination and management system according to claim 1, characterized in that, The specific construction process of the historical business indicator reference record in the business indicator reference module is as follows: The environmental parameters and standard operating condition characteristic records corresponding to each injection transaction of the affected injection node within a preset historical time period are retrieved. The environmental parameters and standard operating condition characteristic records of the same injection transaction are grouped into a historical reference data pair. All historical reference data pairs are arranged in ascending order according to the environmental parameter values ​​to form a historical reference data pair sequence. The historical reference data pair sequence is segmented, and a preset number of historical reference data pairs with adjacent environmental parameter values ​​are grouped into the same data segment. The correlation relationship of the historical reference data pairs within each data segment is extracted to obtain the intra-segment correlation rules corresponding to each data segment. The intra-segment correlation rules of all data segments are concatenated along the dimension of environmental parameter values ​​to form the fluctuation benchmark of the standard operating condition characteristic records of the affected injection node within each environmental parameter value range. The fluctuation benchmark is the historical business indicator reference record.

5. The skid-mounted station full-process business coordination and management system according to claim 1, characterized in that, The specific generation process of real-time business indicator records in the business indicator reference module is as follows: After a regional business anomaly occurs, the environmental parameters and standard operating condition characteristic records corresponding to each injection transaction of the affected injection node are obtained. The environmental parameters and standard operating condition characteristic records of the same injection transaction are grouped into a real-time reference data pair. All real-time reference data pairs are arranged in ascending order according to the environmental parameter values ​​to form a real-time reference data pair sequence. The real-time reference data pair sequence is segmented, and a predetermined number of real-time reference data pairs with adjacent environmental parameter values ​​are grouped into the same data segment. The correlation relationship of the real-time reference data pairs within each data segment is extracted to obtain the intra-segment real-time correlation rules corresponding to each data segment. The intra-segment real-time correlation rules of all data segments are concatenated along the environmental parameter value dimension to form the real-time fluctuation benchmark of the standard operating condition characteristic records of the affected injection node within each environmental parameter value range after the regional business anomaly occurs. The real-time fluctuation benchmark is the real-time business indicator record.

6. The skid-mounted station full-process business coordination and management system according to claim 1, characterized in that, It also includes the fact that the range of environmental parameter values ​​is determined by the range of environmental parameters covered by each data segment in the historical business indicator reference record; when there is no corresponding data segment for a certain range of environmental parameter values ​​in the real-time business indicator record, the difference in the rate of change of that range of environmental parameter values ​​and the difference in the benchmark value are both taken as zero, and are not included in the sum of the total deviation of the rate of change and the total deviation of the benchmark value; when there is a range of environmental parameter values ​​in the real-time business indicator record that is not covered by the historical business indicator reference record, that range of environmental parameter values ​​is not included in the calculation of the comprehensive deviation.

7. The skid-mounted station full-process business coordination and management system according to claim 1, characterized in that, The operation and maintenance decision generation module also includes, when a single point of business anomaly is determined, extracting the refueling node information involved in the abnormal business event, generating an equipment maintenance work order for the refueling node, and pushing the equipment maintenance work order to the operation and maintenance scheduling terminal.

Images