Remote monitoring method and system for pressure-bearing equipment state

Abstract

The present application relates to the technical field of state monitoring, in particular to a kind of pressure-bearing equipment state remote monitoring method and system, comprising the following steps, based on pressure-bearing equipment node, analysis pressure, temperature and strain data, compare node before and after change and grouping classification, extract synchronization and linkage trend, screen key abnormal node, analyze signal transmission path, adjust synchronous reporting sequence, combination chain type data packet is sent to monitoring platform, complete link response reorganization.The present application is based on the data classification and trend-driven reporting of state trend, effectively associate the small changes of pressure-bearing equipment state into the trend network between nodes, use trend synchronization and node linkage effect to screen abnormal synchronization process, through node characteristic link dynamic screening linkage signal source and response node, couple reporting behavior and trend change, realize the structured organization and time sequence carding of node response link, can clearly reflect the linkage evolution and risk distribution between equipment.

Description

Technical Field

[0001] This invention relates to the field of condition monitoring technology, and in particular to a method and system for remote monitoring the condition of pressure equipment. Background Technology

[0002] The field of condition monitoring technology involves the real-time or periodic acquisition, transmission, and analysis of the operating status of equipment, systems, or environments. It is widely applied in various scenarios such as industrial equipment operation monitoring, power system condition sensing, intelligent manufacturing operation and maintenance, and safety early warning systems. Traditional remote monitoring methods for pressure equipment refer to industrial equipment with sealed structures and internal pressure, such as boilers, pressure vessels, and pressure pipelines. Their operating status is monitored by acquiring physical quantity data such as temperature, pressure, and stress through temperature sensing elements, pressure sensors, strain gauges, and other detection components deployed on or inside the equipment. The acquired data is then transmitted to the backend monitoring center for manual interpretation or threshold determination via RS485 bus, GPRS communication modules, or wireless transmission nodes.

[0003] Existing technologies collect and report the status of pressure equipment at fixed intervals. When the equipment is operating relatively stably, the data transmission frequency does not adjust with the actual status, resulting in a large amount of irrelevant or low-value information being frequently transferred. Communication link resources are repeatedly consumed, making it difficult to dynamically monitor key changes. When the status of a group of equipment changes abruptly, the collection rhythm cannot respond in time, which may lead to the omission of important status fluctuations. The response relationship and linkage characteristics between nodes are difficult to identify in real time, and the ability to identify the transmission path of equipment operation risks is limited. Monitoring faces problems of response lag and insufficient risk warning capabilities. Summary of the Invention

[0004] To address the technical problems existing in the prior art, embodiments of the present invention provide a method and system for remote monitoring of the status of pressure equipment. The technical solution is as follows: On the one hand, a method for remote monitoring of the status of pressure equipment is provided, including the following steps: S1: Based on the pressure equipment nodes, analyze the pressure, temperature and strain data. By comparing the changes in two consecutive data acquisitions, summarize the trend of the change curves of each node. Group each trend according to the node number to obtain the grouped state change sequence. S2: Based on the group state change sequence, compare the state change trends of adjacent nodes within the communication group, and combine the change magnitude and direction of the monitoring sequence to identify synchronous and asynchronous states, screen node groups with linkage effects, and obtain linkage trend identification results. S3: Based on the linkage trend identification results, filter the nodes that are linked in the node response coordination mapping, analyze the continuous change trend between nodes, determine whether there is abnormal synchronization, and obtain an abnormal synchronization marker list. S4: Based on the abnormal synchronization marker list, determine the network linkage relationship between the change source node and other nodes, analyze the response signal transmission path, screen which nodes the signal propagates to and which nodes generate synchronization actions, and obtain the synchronization trigger node sequence; S5: Based on the synchronous trigger node sequence, adjust the synchronous reporting order of the nodes, summarize the node change trend and reporting content, and send the chained data packets to the monitoring platform in the trigger order to obtain path response distribution data.

[0005] On the other hand, the grouping state change sequence includes change trend type, grouping index information and trend label; the linkage trend identification result includes synchronization state parameters, linkage combination structure and trend direction type; the abnormal synchronization mark list includes abnormal identification number, synchronization level attribute and key node mark; the synchronization trigger node sequence includes trigger node order, synchronization node information and linkage path identifier; and the path response distribution data includes node linkage structure, response transmission path and distribution feature set.

[0006] On the other hand, the specific steps for obtaining the grouping state change sequence are as follows: S101: Based on the pressure equipment node, analyze the pressure, temperature and strain monitoring data within a continuous monitoring cycle, compare the changes of each parameter in two cycles, determine the continuous change characteristics of each data in time, identify the progression or reversal of the change direction, and obtain the node dynamic trend sequence. S102: Based on the dynamic trend sequence of the nodes, compare the change path of each node, calculate the number of times the change direction appears, determine whether the trend is maintained or changed within the continuous segment, optimize the change curve type between each node, and obtain the trend label configuration set. S103: Based on the trend label configuration set, filter nodes belonging to the same trend category, analyze the node number and its distribution in the device structure, combine the feature identification content of each node, adjust the grouping structure, and obtain the grouping state change sequence.

[0007] On the other hand, the specific steps for obtaining the linkage trend recognition result are as follows: S201: Based on the group state change sequence, analyze the state change trend of adjacent pressure equipment nodes in the same communication group, compare the similarity of the trend direction of each node in the continuous monitoring period, determine whether the trend trend is maintained or reversed on the time axis, count the correlation between nodes, and obtain the trend consistency parameter set. S202: Based on the trend consistency parameter set, compare the trend direction of each node, calculate the synchronous and asynchronous performance of each node in the continuous monitoring period, determine whether the trend changes of the nodes are synchronous or different, and obtain the synchronization status identifier group. S203: Based on the synchronization status identifier group, filter the node groups that show continuous trend synchronization, analyze the consistency of the node group's numbering structure and trend direction, determine the interrelationship between trend changes within the node group, and obtain the linkage trend identification result.

[0008] On the other hand, the steps for obtaining the abnormal synchronization marker list are as follows: S301: Based on the linkage trend identification results, analyze the state change performance of each pressure-bearing equipment node in the node response coordination mapping, determine the consistency of the node state change trend in the direction of adjacent monitoring cycles, filter the nodes with linkage trend performance, and obtain the coordinated linkage node set. S302: Based on the collaborative node set, compare the state trends of each node group, calculate the trend consistency of each group of nodes in the same monitoring period, determine whether the nodes in the group show continuous synchronous changes, record the synchronous segment for the node group showing synchronous characteristics, and obtain the synchronous performance segment sequence. S303: Based on the synchronization performance segment sequence, integrate the identification information of each node, determine the number and hierarchical attributes of each synchronization node, filter out nodes with continuous synchronization performance and located in key network structures, and obtain an abnormal synchronization marker list.

[0009] On the other hand, the specific steps for obtaining the synchronization trigger node sequence are as follows: S401: Based on the abnormal synchronization marker list, determine the linkage between the change source node and other nodes in the communication network structure, sort out the topological relationship between the change source node and each node, compare the distribution and association characteristics of the linkage links between nodes, and obtain the network linkage relationship set. S402: Based on the network linkage relationship set, track the propagation order of the response signal of the change source node in each link, analyze the node distribution of the signal diffusion path, determine the response characteristics when the signal is transmitted to other nodes along the link, and obtain the signal link transmission set; S403: Based on the signal link transmission set, filter the nodes that generate synchronous actions during signal transmission, analyze the synchronous feedback performance of the nodes when receiving signals, determine the correspondence between the synchronous action nodes and the path identifiers, summarize the network link triggering situation, and obtain the synchronous triggering node sequence.

[0010] On the other hand, the specific steps for obtaining the path response distribution data are as follows: S501: Based on the synchronous triggering node sequence, adjust the state synchronization reporting order of each node, analyze the chain response dependency between nodes, optimize the sorting structure of nodes in the communication link, determine the order relationship between nodes, and obtain the synchronous reporting link table. S502: Based on the synchronous reporting link table, analyze the state change trend and reporting parameters of each node, determine the combination method of node data in the chain structure, compare the correlation between node data, and obtain the chain data aggregation result; S503: Based on the chained data aggregation result, the chained data is transmitted to the monitoring platform. The monitoring platform parses the data according to the link order between nodes, reassembles the link response relationship, and obtains the path response distribution data.

[0011] On the other hand, the pressure equipment node refers to a monitoring point in the pressure equipment that can independently collect and transmit status parameters, the communication group refers to the pressure equipment nodes being divided into one or more groups according to their location, functional attributes and data channels, and the status change trend refers to the direction of the evolution of the status of a certain node in the communication group over time.

[0012] On the other hand, the monitoring sequence refers to the sequence of state changes recorded by each node within a continuous monitoring period, the synchronous and asynchronous states refer to whether the pace of state changes of each node is consistent, and the node group with linkage effect refers to the combination of nodes that are determined to have linkage after analysis.

[0013] On the other hand, a remote monitoring system for the condition of pressure equipment is provided, which is applied to a method for remote monitoring the condition of pressure equipment, including: The trend classification module is based on pressure equipment nodes, analyzes pressure, temperature and strain data, and summarizes the trend of each node's change curve by comparing the changes of two consecutive data acquisitions. Each trend is grouped by node number to obtain a grouped state change sequence. The linkage identification module compares the state change trends of adjacent nodes within the communication group based on the group state change sequence, and combines the change magnitude and direction of the monitoring sequence to identify synchronous and asynchronous states, screen node groups with linkage effects, and obtain linkage trend identification results. Based on the linkage trend identification results, the anomaly screening module filters nodes that show linkage in the node response coordination mapping, analyzes the continuous change trend between nodes, determines whether there is abnormal synchronization, and obtains an abnormal synchronization marker list. Based on the abnormal synchronization marker list, the path parsing module determines the network linkage relationship between the change source node and other nodes, analyzes the response signal transmission path, screens which nodes the signal propagates to and generates synchronization actions, and obtains the synchronization trigger node sequence. The chain reporting module adjusts the synchronous reporting order of the nodes based on the synchronous trigger node sequence, summarizes the node change trend and reporting content, and sends the chain data packets to the monitoring platform in the trigger order to obtain path response distribution data.

[0014] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: By classifying data based on status trends and using trend-driven reporting, minor changes in the status of pressure equipment are effectively linked into a trend network between nodes. By utilizing trend synchronization and node linkage effects, abnormal synchronization processes are screened. Linkage signal sources and response nodes are dynamically screened through node characteristic links. By coupling reporting behavior with trend changes, the structured organization and time-series analysis of node response links are achieved. This clearly reflects the linkage evolution and risk distribution between equipment, significantly improving the timeliness perception of status changes in pressure equipment groups and the ability to trace risk paths. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of the main steps of the present invention; Figure 2 This is a flowchart of steps S1 of the present invention; Figure 3 This is a flowchart of steps S2 of the present invention; Figure 4 This is a flowchart of steps S3 of the present invention; Figure 5 This is a flowchart of step S4 of the present invention; Figure 6 This is a flowchart of steps S5 of the present invention; Figure 7 This is a system block diagram of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0018] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0019] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0020] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0021] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0022] This invention provides a method for remote monitoring of the status of pressure equipment, such as... Figure 1 As shown, it includes the following steps: S1: Based on the pressure equipment node, analyze the collected pressure, temperature and strain monitoring data, compare the change range of the data before and after the same node, compare the trend of the change curve in turn, classify the monitoring data trend of each node, group each change trend according to the node number, call the node feature recognition results to optimize the monitoring link, and obtain the grouped state change sequence. S2: Based on the group state change sequence, compare the state change trends of adjacent pressure equipment nodes within the communication group. By comparing the change magnitude and direction in the monitoring sequence of each node, identify the synchronous and asynchronous states between nodes. Combine the change trends of mutual influence, screen the node groups with linkage effects, and obtain the linkage trend identification results. S3: Based on the linkage trend identification results, filter the pressure equipment nodes that show linkage in the state change of the node response coordination mapping, analyze the continuous change of the state trend between nodes, determine whether the nodes show abnormal synchronization in the linkage process, and integrate the identification information of the nodes that are judged to be key nodes to obtain an abnormal synchronization mark list. S4: Based on the abnormal synchronization marker list, determine the linkage relationship between the change source node and other nodes in the synchronization list in the communication network, analyze the response signal transmission path of the change source node, screen which nodes the linkage signal propagates to and when synchronization action is generated, and obtain the synchronization trigger node sequence. S5: Based on the synchronous trigger node sequence, adjust the status synchronization reporting order of all nodes, summarize the status change trend and reporting information of each node, combine them into chain data packets according to the trigger order, and send them to the monitoring platform. The platform will then reassemble the link response to obtain the path response distribution data.

[0023] The group status change sequence includes the change trend type, group index information and trend label; the linkage trend identification result includes the synchronization status parameter, linkage combination structure and trend direction type; the abnormal synchronization mark list includes the abnormal identification number, synchronization level attribute and key node mark; the synchronization trigger node sequence includes the trigger node order, synchronization node information and linkage path identifier; and the path response distribution data includes the node linkage structure, response transmission path and distribution feature set.

[0024] In S1, a pressure equipment node refers to a monitoring point or sub-unit within a pressure equipment that can independently collect and transmit status parameters (such as pressure, temperature, strain, etc.). It typically corresponds to a structural unit with sensor installation and data acquisition capabilities, and can be a single piece of equipment or a specific area within that equipment. The range of change between two consecutive data points refers to the difference in parameter (such as pressure) values ​​obtained from the same pressure equipment node at two consecutive monitoring times, resulting in a range or magnitude of change that reflects the dynamic changes in the node's state within the current period. The trend of the change curve refers to plotting the monitoring parameters of the pressure equipment node over time as a curve and observing its upward, downward, or fluctuating trends to summarize the changing patterns of the node's state. The trend of monitoring data for each node refers to the overall direction and pattern of change in the monitoring data of all pressure equipment nodes over a period of time, often used for subsequent grouping and classification. The node feature identification result refers to the identification result representing the state or category of each node obtained through the extraction and analysis of the changing characteristics of the monitoring data (such as change rate, frequency, waveform morphology, etc.).

[0025] In S2, a communication group refers to one or more groups of pressure equipment nodes divided according to geographical location, functional attributes, data channels, etc. Nodes within each group can communicate directly or indirectly to achieve intra-group linkage and state coordination. The state change trend refers to the direction of the state evolution of a node within the communication group over time (such as continuous increase, continuous decrease, or periodic fluctuation), reflecting the operating status of the equipment. The monitoring sequence of each node refers to the state change record sequence of each node within a continuous monitoring period, which can be regarded as a set of parameter data that changes over time. The magnitude and direction of change refer to the "quantity" (i.e., how much it changes) and "direction" (i.e., whether it increases or decreases) of the node's state change, used for synchronization judgment. Synchronous and asynchronous states refer to whether the pace of state changes of different nodes is consistent (synchronous means that the change direction is the same in the same period, while asynchronous means that they are not synchronized). The mutual influence change trend refers to the mutual influence relationship between the state changes of nodes, reflecting whether the state fluctuation of one node will affect another node. The node group with linkage effect refers to the combination of nodes that is determined to have linkage (such as mutual transmission of pressure fluctuations) after analysis, laying the object foundation for subsequent chain response.

[0026] In S3, node response coordination mapping refers to a global mapping based on the linkage or coordination response relationship between nodes, reflecting the network structure of the interaction of all node state changes; pressure equipment nodes with linkage refer to nodes that are found to have obvious linkage behavior with other nodes during status monitoring, and these nodes are often located on the critical path for the transmission of signals such as pressure or temperature; node state trend refers to whether the state change trends of any two or more nodes are consistent at the same time, and whether synchronous rise, fall or abnormal fluctuations can occur; abnormal synchronization refers to multiple nodes exhibiting more consistent and simultaneous state changes than before within a certain period of time, exceeding the normal correlation range, and is usually used to warn of anomalies or fault propagation.

[0027] In S4, the source node refers to the node where the linkage or synchronization state change first occurs, and is the "starting point" node that triggers the response link of the entire communication network; other nodes refer to all other monitoring nodes in the same communication network except for the source node; linkage relationship refers to the response relationship between the state change of the source node and the state changes of other nodes in terms of timing, amplitude, direction, etc.; response signal transmission path refers to the process path of the state change of the source node to other nodes through physical, control, or network paths, which is the basis of linkage analysis and chain response; linkage signal refers to the monitoring parameters or control signals that propagate during the state change process and trigger the state changes of other nodes; synchronous action refers to the operation of a node after detecting the linkage signal, such as synchronous reporting and state feedback as required, reflecting the cooperative response between nodes in the network.

[0028] In S5, the status synchronization reporting order refers to the chain-triggered state where all nodes that need to upload status data upload data in a specified order, achieving orderly and hierarchical data reporting; the reported information refers to the status change data that each node needs to upload after the synchronization response, including time, node number, change characteristics, etc.; the chain data packet refers to the data structure after the synchronization reporting information of multiple nodes is organized and encapsulated in a chain structure, which facilitates the monitoring platform to identify and restore the link relationship; the link response reconstruction refers to the monitoring platform reconstructing the response path and node relationship between pressure equipment based on the received chain data, realizing the visualization and analysis of the status propagation process; the path response distribution data refers to the spatial and temporal distribution characteristics of the response linkage between each node in the pressure equipment group after analysis and restoration by the monitoring platform, which is the basic data for equipment status monitoring and risk warning.

[0029] like Figure 2 As shown, the specific steps for obtaining the group state change sequence are as follows: S101: Based on the pressure equipment node, analyze the pressure, temperature and strain monitoring data within a continuous monitoring cycle, compare the changes of each parameter in two cycles, determine the continuous change characteristics of each data in time, identify the progression or reversal of the change direction, and obtain the node dynamic trend sequence. Based on the equipment structure diagram and node numbering relationship, the location of each node is determined and its monitoring area is identified. The original data sequences of pressure, temperature, and strain for that node within two consecutive monitoring cycles are retrieved from the monitoring system. For each parameter of the same node within the two cycles, the numerical difference between adjacent time points is calculated. The data changes are compared chronologically, and the direction of change is confirmed by determining whether the change is positive or negative. If the number of consecutive changes in the same direction reaches a set threshold, a trend continuity is considered to exist. Based on the trend continuity determination, the direction of change is further statistically analyzed to see if there is a reversal from rising to falling or from falling to rising. Parameter sequences showing continuous increases or decreases are recorded as "progressive." If a clear trend reversal occurs... A reversal of the direction of change is recorded as "reversal". For sequences that do not reach the trend continuity threshold, they are recorded as "no significant trend". For each parameter, the trend direction, continuity, and reversal status are recorded separately. Each status is summarized according to the node number to form a trend structure. The trend types of pressure, temperature, and strain are compared to see if they are consistent. If the trend types of any two of the three parameters are consistent, it is recorded as the main trend type, and the state trend structure of the node in this period is identified to form the dynamic trend sequence of the node. For example, if the pressure of a node continues to rise, the temperature fluctuates randomly, and the strain shows a trend of changing from rising to falling in two consecutive periods, then the trend sequence of the node can be recorded as "pressure rises - progressive, temperature has no trend, strain reverses".

[0030] S102: Based on the dynamic trend sequence of nodes, compare the change path of each node, calculate the number of times the change direction occurs, determine whether the trend is maintained or changed within a continuous segment, optimize the change curve type between nodes, and obtain the trend label configuration set. Extract the direction of change information for each trend segment, and count the frequency of upward, downward, and fluctuating changes. For each type of trend, determine whether it is a continuous trend and record the duration of its duration. Trends lasting longer than a set benchmark are marked as "trend maintained," while those lasting less are marked as "trend reversed." During trend determination, fluctuating records with small amplitudes below the set benchmark are excluded, retaining only segments with significant trend characteristics. The change path structure of nodes is determined by both the proportion of trend direction and its duration. Then, the change path is categorized based on the dominant trend type within the change path. If a trend is dominated by a single upward or downward trend, it is marked as "unidirectional continuation". If the direction changes multiple times but without regularity, it is marked as "repeated change". If a dominant trend exists but there are one or two interruptions in the middle, it is marked as "unidirectional discontinuity". The above types are coded as trend labels by number to form a trend label configuration set. Each node corresponds to a trend label. The label will be used as the basis for classifying subsequent nodes. For example, if a node has a clear upward trend that dominates in three cycles and the duration of the change segment meets the set requirements, it is "unidirectional continuation". If the trend direction of another node changes irregularly, it is "repeated change".

[0031] S103: Based on the trend label configuration set, filter nodes belonging to the same trend category, analyze the node number and its distribution in the device structure, combine the feature identification content of each node, adjust the grouping structure, and obtain the grouping status change sequence. Nodes with consistent trend labels are grouped together. The node numbers within each group are then arranged, and their corresponding positions in the equipment structure diagram are queried. The spatial distribution distance between nodes within the group is calculated. If the distance between all nodes is less than the structural distribution baseline value, the group is identified as a structurally concentrated distribution group. Simultaneously, the feature identification data of the nodes in this group are retrieved, and the differences in their monitoring parameters, such as the magnitude and rate of change, are compared. If the differences are all below the set maximum allowable difference, the group is determined to have the same response behavior. Nodes meeting the regrouping conditions are included in the new group structure. In the new group, the nodes have consistent trend labels, similar spatial layouts, and small differences in parameter change magnitude and rate of change. The updated node groups are reordered according to their numbers, and the group status change sequence is output as required. Each group includes the node number, main trend type, and combination number. For example, nodes A and B, which were not originally in the same group, are included in the same group after the trend type and structural distribution evaluation, and they will be displayed with the same combination number in the new group status change sequence.

[0032] like Figure 3 As shown, the specific steps for obtaining the linkage trend recognition results are as follows: S201: Based on the group state change sequence, analyze the state change trend of adjacent pressure equipment nodes in the same communication group, compare the similarity of the trend direction of each node in the continuous monitoring period, determine whether the trend trend is maintained or reversed on the time axis, count the correlation between nodes, and obtain the trend consistency parameter set. The database retrieves the node information of all nodes within the same communication group and sequentially matches the trend label and change direction sequence for each node. It compares the trend data of two adjacent nodes within the same group over a continuous monitoring period, extracting their change direction. For example, if node A's trend direction is upward, upward, downward in periods T1, T2, and T3, and node B's is upward, upward, downward in the same period, then the two nodes have the same direction sequence, recorded as a completely consistent trend. The duration of this trend direction is then compared. If both nodes maintain the same direction in periods T1 and T2, it is marked as "trend maintained." If the change direction reverses in period T3, it is marked as "final reversal." When analyzing direction similarity, a threshold for determining direction consistency is set: the number of times the same direction is observed in the three periods is no less than two. Next, the condition for trend maintenance is that the direction is consistent for at least two cycles and the time sequence is continuous. For trend reversal, the position of the first change in direction in the continuous cycle is recorded, and the difference in the cycle position where the reversal occurs is calculated as the reversal displacement. Then, the nodes are traversed, and the number of times the direction is consistent, the number of times the trend is maintained, and the reversal displacement of all adjacent nodes are counted. The coverage of each indicator in the communication group is calculated proportionally. For example, if there are 7 pairs of consistent direction, 6 pairs of trend maintenance, and 2 pairs of reversal in 10 pairs of nodes, then the proportion of consistent direction is 70%, the proportion of maintenance is 60%, and the proportion of reversal is 20%. The values ​​are recorded in the trend consistency parameter set. This parameter set is organized by the communication group number and includes the trend comparison record and proportion result of each node, which is used for the trend synchronization judgment in the next stage.

[0033] S202: Based on the trend consistency parameter set, compare the trend direction of each node, calculate the synchronous and asynchronous performance of each node in the continuous monitoring period, determine whether the trend changes of the nodes are synchronous or different, and obtain the synchronization status identifier group. The trend direction of each node in the communication group is extracted one by one within a continuous period, and a direction sequence matrix of each node is constructed. The direction sequences of any two nodes are compared one-to-one. If the directions of two nodes are consistent in any two consecutive periods and there is no trend reversal, it is recorded as "trend synchronized". If the directions are inconsistent or a reversal marker appears, it is recorded as "trend asynchronized". The number of periods in each group where synchronization occurs is counted and the ratio is calculated with the total number of periods. A synchronization threshold is set at at least 60%. If a node meets this condition with more than half of the other nodes, it is considered a synchronized node in the communication group. For each trend synchronization node, add it to the synchronization status identifier group. Simultaneously, pair this node with all its synchronization nodes and store the pair in the identifier group. If a node is out of sync with most nodes in the group, it will not be added to the group. During the judgment process, the number of times the direction is consistent, the trend holding period, and the reversal period displacement in the trend consistency parameter set are used for auxiliary judgment. When the number of times the direction is consistent exceeds twice the number of times the trend is out of sync, it can also be exceptionally judged as a synchronization state. A synchronization status identifier group is formed for each communication group. Each identifier group records the participating node number, direction comparison result, number of synchronization periods, and total number of periods, and marks the trend synchronization or out of sync attribute.

[0034] S203: Based on the synchronization status identifier group, filter the node groups that show continuous trend synchronization, analyze the consistency of the node group's numbering structure and trend direction, determine the interrelationship between trend changes within the node group, and obtain the linkage trend identification result.

[0035] The system selects nodes exhibiting continuous and synchronized trends. Nodes that show no trend reversal within the monitoring period and meet the synchronization criteria with all other member nodes are chosen as the first batch of candidate groups. Candidate groups are then matched by number to confirm whether node numbers are consecutive or located within the same functional area structural segment. If node numbers are adjacent and the continuous distance between their structural positions is no greater than a set structural density benchmark value, they are recorded as a node group within the same structural segment. Further analysis is conducted to determine if the main trend direction of each node in the group is consistent (e.g., all are rising or falling). If consistent, it is marked as a "consistent direction group." If differences exist, nodes with different directions are removed, and a portion is retained to form the final trend-consistent node group. Subsequently, the difference between the trend direction and the magnitude of change is compared between any two nodes within the node group. If the difference in magnitude of change for all nodes within the same period does not exceed a set magnitude comparison threshold (e.g., no more than 0.1 MPa or 20 με), the node group is considered to have strong correlation. If the difference in magnitude for some nodes exceeds this range but no trend direction change occurs, it is recorded as weak correlation. Based on the three indicators of trend consistency, number structure, and parameter change magnitude, the linkage trend status of the node group is marked, forming the linkage trend identification result.

[0036] like Figure 4 As shown, the specific steps for obtaining the abnormal synchronization flag list are as follows: S301: Based on the linkage trend identification results, analyze the state change performance of each pressure-bearing equipment node in the node response coordination mapping, determine the consistency of the node state change trend in the direction of adjacent monitoring cycles, screen the nodes with linkage trend performance, and obtain the coordinated linkage node set. Read each node pair marked as having a linked trend, obtain its corresponding number information and monitoring parameter data sequence, call the node response collaborative mapping structure, and extract the state change records of each node in different monitoring cycles. Record the change direction of pressure, temperature, and strain between each cycle, and determine whether the change direction of each parameter in two adjacent cycles remains continuous or reverses. If the pressure change is increasing from T1 to T2 and still increasing from T2 to T3, it is marked as consistent in direction. If the direction turns to decrease from T3 to T4, it is recorded as reversed. Then, analyze the response relationship of this node with other nodes in the mapping structure and compare their trends pair by pair. The change characteristics are defined as follows: if two nodes show the same trend direction for at least two out of three consecutive periods, and the difference in the magnitude of the change is within a set range, then they are marked as having a trend performance linkage. The benchmark value for judging the direction difference is no more than one instance of opposite directions, and the threshold value for the magnitude difference is set to 0.15. For example, if the pressure changes of nodes A and B are +0.3, +0.2, -0.1 and +0.35, +0.2, -0.05 respectively, then the direction is judged to be consistent twice, and the maximum magnitude difference is 0.05, which meets the set conditions. All nodes that meet the condition of having the same trend more than twice and whose parameter difference is within the allowable range are formed into a collaborative linkage node set.

[0037] S302: Based on the collaborative node set, compare the state trends of each node group, calculate the trend consistency of each group of nodes in the same monitoring period, determine whether the nodes in the group show continuous synchronous changes, record the synchronous segment for the node group showing synchronous characteristics, and obtain the synchronous performance segment sequence. The nodes are regrouped according to their combination relationships. The node number and state change sequence of each group are extracted sequentially. For each monitoring period, the trend direction of all nodes in the group is aligned. The consistency of the trend direction of each node in each period is compared. The number of nodes with consistent trends and the total number of nodes are counted. If more than 75% of the nodes in a group have the same direction in any period and no node shows a trend reversal, then the period is marked as a synchronization period and recorded as part of the synchronization segment. At the same time, it is checked whether the period before and after this period forms a continuous synchronization segment with other periods. If two or more consecutive periods are in a synchronized state, it is marked as "continuous synchronization". Otherwise, if only one period is in a synchronized state, it is not recorded. The criterion for determining the continuity of synchronization is two or more consecutive periods. Then, the complete monitoring sequence of each group of nodes is traversed, and the period segments that meet the requirements of the continuity of synchronization are extracted one by one. The start period and end period are marked accordingly. For example, if the node group {A, B, C, D} has a consistent trend and the change direction is upward in periods T3 to T5, then this segment is marked as a synchronization performance segment. This segment and the corresponding node group are recorded in the synchronization performance segment sequence.

[0038] S303: Based on the synchronization performance segment sequence, integrate the identification information of each node, determine the number and hierarchical attributes of each synchronization node, filter the nodes with continuous synchronization performance and located in the key structural position of the network, and obtain the abnormal synchronization mark list. The nodes involved in each segment are numbered and extracted. The number of times each node appears in multiple synchronization segments is counted. Nodes that appear consecutively for two or more times are marked as having "continuous synchronization behavior". At the same time, the position of the node in the network topology is queried, the network structure mapping map is loaded, and the node is located at the structural level and its role level is judged to confirm whether it is in the backbone communication path, key sensor relay point or linkage trigger area. If the structural attribute identifier is met, it is marked as "key structural node". Then, nodes that meet both the "continuous synchronization behavior" and "key structural node" conditions are screened out to form an initial list of abnormal synchronization markers. For further accurate identification, each selected node also needs to be accompanied by the trend type, number of cycles, category of change parameters and the structural segment number to which it belongs in the synchronization segment. Finally, the nodes are arranged in ascending order by node number and marked with anomaly identification number to form an abnormal synchronization marker list.

[0039] like Figure 5 As shown, the specific steps for obtaining the synchronization trigger node sequence are as follows: S401: Based on the abnormal synchronization marker list, determine the linkage between the change source node and other nodes in the communication network structure, sort out the topological relationship between the change source node and each node, compare the distribution and association characteristics of the linkage links between nodes, and obtain the network linkage relationship set. First, extract the ID, location attributes, and communication path identifiers of all nodes marked as abnormal from the abnormal synchronization flag list. Combined with the communication network topology diagram, use each abnormal node as a source point to retrieve its corresponding upstream and downstream connections in the network. For each source node, query the path hierarchy and connection order of its reachable nodes, and record the ID, communication channel ID, and latency level of each intermediate node on the path. Set the topology dimensions required for linkage judgment: path length, relative depth, and relay frequency. If the path length from the source node to a certain node is less than or equal to 3 hops, and there are no more than 2 relay nodes in the path, then it is considered to have direct or indirect linkage potential. Subsequently, retrieve the historical trend change data of each connection point in the path and compare it before and after the change in the source node's state. If the trend direction of each node changes in the same direction as the source node for at least two periods, and the change occurs within two sampling periods after the source node, then the node is recorded as having a linkage response. The number of linkage response nodes in different paths is counted. If the number of linkage nodes in a certain path exceeds 50% of the total number of nodes in that path, then the path is marked as a "linkage path". The source node is paired with all response nodes in the path to form a linkage link structure. Then, the duplicate nodes between multiple linkage paths are merged and counted, and the frequency value of each node as a linkage connection point is calculated. If the same node appears in the linkage paths of multiple source nodes and its frequency is greater than or equal to 3 times, it is marked as a "high-frequency linkage point". The network linkage relationship set is output.

[0040] S402: Based on the network linkage relationship set, track the propagation order of the response signal of the change source node in each link, analyze the node distribution of the signal diffusion path, determine the response characteristics when the signal is transmitted to other nodes along the link, and obtain the signal link transmission set; Each source node is selected as the starting point, and nodes are numbered according to their connection order in the linkage path. Starting from the first segment of the path, the monitoring time point of each node is extracted, and the timestamp of the sudden change in a specific parameter (such as pressure) is recorded. Subsequently, the sudden change times of downstream nodes are extracted layer by layer. If the sudden change of a downstream node occurs within 1 to 2 sampling periods after the upstream node, it is considered a response propagation behavior. The order of signal propagation along the path is recorded sequentially. For each pair of adjacent nodes, the order of their state changes is compared, and the propagation direction, delay length, and difference in change amplitude are recorded. A response delay threshold of 2 periods is set; if the delay does not exceed this value, it is recorded as an "effective propagation segment." Further statistical analysis is then performed. The number of consecutive effective propagation segments in the entire path is determined. If the number of effective segments in the path accounts for more than 70% of the total number of connected segments, the entire path is marked as a "continuous propagation path". The node numbers in each path are reordered according to the propagation order, and a propagation number is generated for each propagation event. Then, the state change amplitude of each node in the path is compared. If the amplitude change is in the same direction as the source node and the difference is within ±15%, the node is recorded as a response feature matching node. Its propagation number and signal characteristics are recorded. The propagation order, response delay, amplitude response direction and node number of all nodes in each path are combined to form a signal link transmission set for subsequent synchronous trigger node screening.

[0041] S403: Based on the signal link transmission set, filter the nodes that generate synchronous actions during signal transmission, analyze the synchronous feedback performance of the nodes when receiving signals, determine the correspondence between the synchronous action nodes and the path identifier, summarize the network link triggering situation, and obtain the synchronous triggering node sequence. The synchronization feedback performance of the node when receiving signals is analyzed using the following formula: ; Calculate the synchronous feedback fluctuation characteristics, determine the correspondence between synchronous action nodes and path identifiers, and obtain the synchronous trigger node sequence, where, This represents the synchronous feedback fluctuation characteristics of the i-th node. This represents the response time interval recorded by the i-th node when it receives the linkage signal for the j-th time. This represents the average of all response time intervals for the i-th node within the selected phase. The weight represents the calculated weight corresponding to the signal amplitude change accompanying the linkage signal in the j-th response of the i-th node. The weight represents the calculated weight corresponding to the signal amplitude change accompanying the linkage signal in the k-th response of the i-th node. This represents the total number of times the i-th node participates in receiving and responding to the linkage signal; Synchronous feedback fluctuation characteristics refer to the degree of deviation of the time interval of each response from the average time interval of all responses of a single node during the process of receiving and responding to multiple linkage signals. It is a general fluctuation level obtained by normalizing and averaging after combining the signal amplitude change weight corresponding to each response. The feature is used to quantify the degree of dispersion of the response time of a node in the entire synchronous feedback cycle and its weighted influence with the signal amplitude change, reflecting the stability and fluctuation range of the node in the synchronization process. The greater the fluctuation, the weaker the synchronous consistency of the node's feedback process; the smaller the fluctuation, the more consistent the synchronous feedback performance.

[0042] To analyze the synchronization feedback performance of the node when receiving signals, first set the synchronization feedback for the first node... Each node performs five consecutive signal samples within the current communication cycle, recording the response time interval between receiving the linkage signal and the actual response occurring each time, denoted as _____. The original recorded values ​​for the response time intervals in this group were 4.2 seconds, 3.9 seconds, 4.5 seconds, 4.1 seconds, and 4.3 seconds, respectively, forming a sequence. The corresponding number is , , , , Subsequently, the voltage increment of the signal amplitude change was simultaneously acquired at each response moment. The original amplitudes were recorded as 1.8V, 1.6V, 1.9V, 1.7V, and 1.84V, respectively denoted as... , , , , The amplitude data needs to be normalized. Maximum value normalization is used, and the maximum amplitude value of 1.9V is selected as the normalization reference value to calculate the dimensionless weighted sequence. The values ​​are 0.947, 0.842, 1, 0.895, and 0.968, respectively, and the corresponding values ​​are... , , , , Next, the arithmetic mean of the response time series is calculated to obtain the average response interval: Second; The absolute difference between each response interval and the average response interval is calculated sequentially to obtain: ; ; ; ; ; Multiplying the absolute difference with the corresponding normalized weights yields the following weighted bias results: ; ; ; ; ; The calculation process is as follows: Sum the squares of all weights and take the square root as the normalization factor. ; ; ; Divide all weighted deviations by the normalization factor and calculate the average, then substitute the average into the formula as follows: ; ; The synchronous feedback fluctuation characteristic interval is divided as follows: when At that time, the node is determined to be in a synchronous stable segment; when At that time, the node belongs to the synchronous controllable segment; when At that time, the node is classified as a synchronous fluctuation segment.

[0043] This result indicates that the current node is... Synchronous feedback fluctuation characteristics obtained from this calculation Falling within the range This interval is used to determine whether a node is in a synchronous and controllable segment. It means that although there is a shift in the response time of the node in multiple signal response cycles, the degree of shift is still within an acceptable range after being calculated together with the amplitude change of the received signal.

[0044] like Figure 6 As shown, the specific steps for obtaining path response distribution data are as follows: S501: Based on the synchronous trigger node sequence, adjust the state synchronization reporting order of each node, analyze the chain response dependency between nodes, optimize the sorting structure of nodes in the communication link, determine the order relationship between nodes, and obtain the synchronous reporting link table. The process involves calling the node number, trigger time, and path number of each node in the sequence to determine the order of response to each node's state change. After sorting the nodes in ascending order of trigger time, a preliminary upload order table is established. Next, the communication link structure information is called to compare the connection relationships between nodes in the physical topology. For example, if node A's trigger time is T1 and node B's trigger time is T2, and B is one hop downstream of A in the link structure, then it is determined that A has a chain response dependency on B, and this determination is recorded as a "sequence constraint." If multiple nodes respond to the same upstream node, a second sorting is performed based on their respective trigger times to ensure that the trigger response logic matches the link topology. Then, all node pairs are traversed to construct a response dependency matrix. The matrix identifies whether there is a direct link connection between nodes, the response latency, and the path hierarchy. If two nodes are more than 3 hops apart in the link structure or the response time difference is more than 3 cycles, they are judged to have no direct chain dependency relationship and are not included in the reporting sorting optimization scope. After determining all chain response dependencies, the nodes are reordered, prioritizing the starting node at the beginning of the list. Subsequent nodes are arranged in order of path sequence and trigger time. If a node is the common parent node of multiple downstream nodes on the same link, its status change is uploaded first, and then the downstream nodes are arranged in order to form a synchronous reporting link table.

[0045] S502: Based on the synchronous reporting link table, analyze the state change trend and reporting parameters of each node, determine the combination of node data in the chain structure, compare the correlation between node data, and obtain the chain data aggregation result; The system sequentially reads the node number, trend direction, parameter type, and reporting time of each node. It then marks the monitoring data (pressure, temperature, strain, etc.) of each node with trends, confirming whether the change direction is upward, downward, or fluctuating. These trend marks are then bundled with the node number to form unit information fragments. Subsequently, the system calls the reporting order recorded in the link table, sorting the data by node and merging multiple information fragments to construct a chain-structured data body. During construction, it determines whether the trend directions of adjacent nodes are consistent. If both are increasing on the same parameter, it is marked as "same-direction aggregation"; if the directions are opposite, it is marked as "opposite-direction aggregation"; if at least one parameter's change direction is inconsistent, it is marked as "cross-aggregation." The system then statistically analyzes the aggregation. The frequency of aggregation relationships in the chain is analyzed. If a certain type of aggregation relationship accounts for more than 50% of the entire chain, the entire chain is marked as that aggregation type. The numerical distance between the data of each node is further analyzed to determine whether the difference between the values ​​of the same type of parameter of adjacent nodes exceeds the set numerical difference benchmark value. For example, the benchmark value for pressure difference is set to 0.3MPa. If node A reports a value of 1.8MPa and node B reports 2.1MPa, the difference is 0.3MPa, which is within the boundary range and is recorded as "aggregable". If it exceeds the benchmark, it is regarded as "non-aggregable segment". The ratio of the number of aggregateable segments to the total number of segments in the entire chain is counted. If it exceeds 75%, the chain is determined to have overall aggregation, and the chain data aggregation result is obtained.

[0046] S503: Based on the chain data aggregation results, the chain data is transmitted to the monitoring platform. The monitoring platform parses the data according to the link order between nodes, reassembles the link response relationship, and obtains the path response distribution data. Each chain structure's data is packaged and encapsulated into an independent data segment. Each segment contains node number, monitoring time, parameter value, trend direction, and link sequence number, organized sequentially in a linked list. After packaging, the segment is named with the chain structure identifier number, and the start and end node numbers are marked in the data packet header. The data segment is then sent to the monitoring platform via a communication interface. Upon receiving the chained data, the platform first reads the header information of each chain's data packet, extracting the sequence structure and node index. Based on the sequence field, it reconstructs the node path structure according to the response chain of all nodes. It reads the data of each node and reconstructs its response time sequence, comparing the trend direction and parameter type of each node. Through continuous retrieval, it determines whether there are trend abrupt changes or response breakpoints in the response path. For example, if node 3 in a chain is followed by node 4, and its trend direction reverses, it is recorded as a "path trend breakpoint." The number of continuous trend segments and breakpoint segments in each path is counted. If the proportion of continuous segments exceeds 80%, the path is marked as a "stable path"; otherwise, it is a "fluctuating path," thus obtaining the path response distribution data.

[0047] like Figure 7 As shown, a remote monitoring system for the status of pressure equipment includes: The trend classification module is based on pressure equipment nodes, analyzes pressure, temperature and strain data, and summarizes the trend of each node's change curve by comparing the changes of two consecutive data acquisitions. Each trend is grouped by node number to obtain a grouped state change sequence. The linkage identification module compares the state change trends of adjacent nodes within a communication group based on the group state change sequence, and combines the magnitude and direction of the changes in the monitoring sequence to identify synchronous and asynchronous states, screen node groups with linkage effects, and obtain linkage trend identification results. The anomaly screening module, based on the linkage trend identification results, filters nodes that show linkage in the node response coordination mapping, analyzes the continuous change trend between nodes, determines whether there is abnormal synchronization, and obtains an abnormal synchronization marker list. The path parsing module uses the abnormal synchronization marker list to determine the network linkage relationship between the change source node and other nodes, analyzes the response signal transmission path, screens which nodes the signal propagates to and generates synchronization actions, and obtains the synchronization trigger node sequence. The chain reporting module is based on the synchronous trigger node sequence, adjusts the synchronous reporting order of the nodes, summarizes the node change trend and reporting content, and sends chain data packets to the monitoring platform in the trigger order to obtain path response distribution data.

[0048] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for remote monitoring of the status of pressure equipment, characterized in that, The method includes: S1: Based on the pressure equipment nodes, analyze the pressure, temperature and strain data. By comparing the changes in two consecutive data acquisitions, summarize the trend of the change curves of each node. Group each trend according to the node number to obtain the grouped state change sequence. S2: Based on the group state change sequence, compare the state change trends of adjacent nodes within the communication group, and combine the change magnitude and direction of the monitoring sequence to identify synchronous and asynchronous states, screen node groups with linkage effects, and obtain linkage trend identification results. S3: Based on the linkage trend identification results, filter the nodes that are linked in the node response coordination mapping, analyze the continuous change trend between nodes, determine whether there is abnormal synchronization, and obtain an abnormal synchronization marker list. S4: Based on the abnormal synchronization marker list, determine the network linkage relationship between the change source node and other nodes, analyze the response signal transmission path, screen which nodes the signal propagates to and which nodes generate synchronization actions, and obtain the synchronization trigger node sequence; S5: Based on the synchronous trigger node sequence, adjust the synchronous reporting order of the nodes, summarize the node change trend and reporting content, and send the chained data packets to the monitoring platform in the trigger order to obtain path response distribution data; The specific steps for obtaining the abnormal synchronization marker list are as follows: S301: Based on the linkage trend identification results, analyze the state change performance of each pressure-bearing equipment node in the node response coordination mapping, determine the consistency of the node state change trend in the direction of adjacent monitoring cycles, filter the nodes with linkage trend performance, and obtain the coordinated linkage node set. S302: Based on the collaborative node set, compare the state trends of each node group, calculate the trend consistency of each group of nodes in the same monitoring period, determine whether the nodes in the group show continuous synchronous changes, record the synchronous segment for the node group showing synchronous characteristics, and obtain the synchronous performance segment sequence. S303: Based on the synchronization performance segment sequence, integrate the identification information of each node, determine the number and hierarchical attributes of each synchronization node, filter out nodes with continuous synchronization performance and located in key network structures, and obtain an abnormal synchronization marker list.

2. The method for remote monitoring of the status of pressure equipment according to claim 1, characterized in that, The grouping state change sequence includes change trend type, grouping index information and trend label; the linkage trend identification result includes synchronization state parameters, linkage combination structure and trend direction type; the abnormal synchronization mark list includes abnormal identification number, synchronization level attribute and key node mark; the synchronization trigger node sequence includes trigger node order, synchronization node information and linkage path identifier; and the path response distribution data includes node linkage structure, response transmission path and distribution feature set.

3. The method for remote monitoring of the status of pressure equipment according to claim 1, characterized in that, The specific steps for obtaining the grouping state change sequence are as follows: S101: Based on the pressure equipment node, analyze the pressure, temperature and strain monitoring data within a continuous monitoring cycle, compare the changes of each parameter in two cycles, determine the continuous change characteristics of each data in time, identify the progression or reversal of the change direction, and obtain the node dynamic trend sequence. S102: Based on the dynamic trend sequence of the nodes, compare the change path of each node, calculate the number of times the change direction appears, determine whether the trend is maintained or changed within the continuous segment, optimize the change curve type between each node, and obtain the trend label configuration set. S103: Based on the trend label configuration set, filter nodes belonging to the same trend category, analyze the node number and its distribution in the device structure, combine the feature identification content of each node, adjust the grouping structure, and obtain the grouping state change sequence.

4. The method for remote monitoring of the status of pressure equipment according to claim 1, characterized in that, The specific steps for obtaining the linkage trend recognition result are as follows: S201: Based on the group state change sequence, analyze the state change trend of adjacent pressure equipment nodes in the same communication group, compare the similarity of the trend direction of each node in the continuous monitoring period, determine whether the trend trend is maintained or reversed on the time axis, count the correlation between nodes, and obtain the trend consistency parameter set. S202: Based on the trend consistency parameter set, compare the trend direction of each node, calculate the synchronous and asynchronous performance of each node in the continuous monitoring period, determine whether the trend changes of the nodes are synchronous or different, and obtain the synchronization status identifier group. S203: Based on the synchronization status identifier group, filter the node groups that show continuous trend synchronization, analyze the consistency of the node group's numbering structure and trend direction, determine the interrelationship between trend changes within the node group, and obtain the linkage trend identification result.

5. The method for remote monitoring of the status of pressure equipment according to claim 1, characterized in that, The specific steps for obtaining the synchronization trigger node sequence are as follows: S401: Based on the abnormal synchronization marker list, determine the linkage between the change source node and other nodes in the communication network structure, sort out the topological relationship between the change source node and each node, compare the distribution and association characteristics of the linkage links between nodes, and obtain the network linkage relationship set. S402: Based on the network linkage relationship set, track the propagation order of the response signal of the change source node in each link, analyze the node distribution of the signal diffusion path, determine the response characteristics when the signal is transmitted to other nodes along the link, and obtain the signal link transmission set; S403: Based on the signal link transmission set, filter the nodes that generate synchronous actions during signal transmission, analyze the synchronous feedback performance of the nodes when receiving signals, determine the correspondence between the synchronous action nodes and the path identifiers, summarize the network link triggering situation, and obtain the synchronous triggering node sequence.

6. The method for remote monitoring of the status of pressure equipment according to claim 1, characterized in that, The specific steps for obtaining the path response distribution data are as follows: S501: Based on the synchronous triggering node sequence, adjust the state synchronization reporting order of each node, analyze the chain response dependency between nodes, optimize the sorting structure of nodes in the communication link, determine the order relationship between nodes, and obtain the synchronous reporting link table. S502: Based on the synchronous reporting link table, analyze the state change trend and reporting parameters of each node, determine the combination method of node data in the chain structure, compare the correlation between node data, and obtain the chain data aggregation result; S503: Based on the chained data aggregation result, the chained data is transmitted to the monitoring platform. The monitoring platform parses the data according to the link order between nodes, reassembles the link response relationship, and obtains the path response distribution data.

7. The method for remote monitoring of the status of pressure equipment according to claim 1, characterized in that, The pressure equipment node refers to a monitoring point in the pressure equipment that can independently collect and transmit status parameters. The communication group refers to one or more groups of pressure equipment nodes based on their location, functional attributes, and data channels. The status change trend refers to the direction in which the status of a certain node in the communication group evolves over time.

8. The method for remote monitoring of the status of pressure equipment according to claim 1, characterized in that, The monitoring sequence refers to the sequence of state changes recorded by each node within a continuous monitoring period. The synchronous and asynchronous states refer to whether the pace of state changes of each node is consistent. The node group with linkage effect refers to the combination of nodes that are determined to have linkage after analysis.

9. A remote monitoring system for the status of pressure equipment, the system being used to implement the remote monitoring method for the status of pressure equipment as described in any one of claims 1-8, characterized in that, The system includes: The trend classification module is based on pressure equipment nodes, analyzes pressure, temperature and strain data, and summarizes the trend of each node's change curve by comparing the changes of two consecutive data acquisitions. Each trend is grouped by node number to obtain a grouped state change sequence. The linkage identification module compares the state change trends of adjacent nodes within the communication group based on the group state change sequence, and combines the change magnitude and direction of the monitoring sequence to identify synchronous and asynchronous states, screen node groups with linkage effects, and obtain linkage trend identification results. Based on the linkage trend identification results, the anomaly screening module filters nodes that show linkage in the node response coordination mapping, analyzes the continuous change trend between nodes, determines whether there is abnormal synchronization, and obtains an abnormal synchronization marker list. Based on the abnormal synchronization marker list, the path parsing module determines the network linkage relationship between the change source node and other nodes, analyzes the response signal transmission path, screens which nodes the signal propagates to and generates synchronization actions, and obtains the synchronization trigger node sequence. The chain reporting module adjusts the synchronous reporting order of the nodes based on the synchronous trigger node sequence, summarizes the node change trend and reporting content, and sends the chain data packets to the monitoring platform in the trigger order to obtain path response distribution data.

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