Safety management method and system for heat supply pipe network

Abstract

The invention relates to the technical field of safety management, in particular to a safety management method and system for a heat supply pipe network, and the method comprises the following steps: applying heat pulse to a key section of the heat supply pipe network, monitoring propagation, collecting temperature, pressure and flow data, analyzing delay, temperature change and pressure fluctuation, determining a propagation path, evaluating transmission efficiency, and adjusting heat distribution. And monitoring the area temperature in real time, evaluating the safety risk, sending an adjustment instruction, updating the management and control priority, and generating a feedback result of the pipe network state after scheduling. According to the invention, by capturing the dynamic change of heat transmission, the heat transmission path and efficiency can be evaluated in real time, the heat distribution of the pipe network can be optimized, the temperature data of the pipe network area can be analyzed in real time, the risk area can be identified and the risk can be evaluated, the key area can be preferentially managed and controlled, and the flexibility and response speed of the pipe network to the change can be improved; and the possibility of failure occurrence is reduced, and the stability and safety of heat supply are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of safety management, and particularly to a safety management method and system for a heating pipeline network. Background Art

[0002] The technical field of safety management encompasses several key aspects, aiming to ensure operational safety, data security, and equipment security in industrial and other application environments, and extensively involves strategies ranging from physical security measures to information technology and network security. In industrial applications, especially in infrastructure projects such as heating pipeline networks, safety management technology not only deals with real-time monitoring and fault diagnosis but also includes preventive measures and emergency response plans. Additionally, it includes continuous risk assessment and security upgrades of the system to adapt to changing environments and threats.

[0003] Among them, the safety management method for a heating pipeline network refers to a set of methods that achieve the monitoring and management of a heat transmission network through specific technical means to ensure its safe operation, covering fault detection, status monitoring, and safety warning, mainly implemented through an integrated sensor network, real-time data acquisition, and analysis system, capable of real-time monitoring of key parameters such as pressure, temperature, and flow rate of the heating pipeline network, promptly detecting abnormal conditions, and effectively responding through a control center. In this way, potential safety problems in the heating pipeline network can be promptly addressed, thereby ensuring the stability and safety of heat supply.

[0004] In the existing safety management of heating pipeline networks, fixed threshold settings are relied on for monitoring and alarm, usually detecting abnormalities based on set temperature, pressure, or flow rate data. However, this static threshold method is difficult to capture subtle changes in the pipeline network status, resulting in potential risks that may not be promptly exposed. Due to the frequent fluctuations in temperature and pressure within the pipeline network, a single threshold setting may not effectively warn of uneven heat distribution or potential losses in the system. Traditional methods lack in-depth analysis of the dynamic changes in the pipeline network and are prone to overlooking heat losses caused by uneven system loads or transmission path problems. Such limitations may delay the response to abnormal pipeline network states, thereby increasing safety risks. In addition, the existing technology fails to fully utilize real-time data for heat allocation and optimization, unable to quickly adapt to changes in the internal and external environments of the pipeline network, which may lead to energy waste or excessive pipeline network pressure, further exacerbating the risk of equipment damage. Summary of the Invention

[0005] The object of the present invention is to solve the drawbacks existing in the prior art and to propose a safety management method and system for a heating pipeline network.

[0006] To achieve the above object, the present invention adopts the following technical solution: A safety management method for a heating pipeline network, comprising the following steps:

[0007] S1: Apply a heat pulse to the key pipe sections of the heat pipe network, monitor the propagation process of the pulse in the pipe network, collect the data of temperature, pressure, and flow sensors in the pipe network, record the pulse propagation time, temperature fluctuations, and pressure changes in real time, and obtain the heat pulse propagation data;

[0008] S2: According to the heat pulse propagation data, analyze the time delay, temperature change, pressure fluctuation, and flow change, determine the heat pulse propagation path, compare it with the theoretical path, evaluate the heat transfer efficiency and loss, adjust the heat distribution in the pipe network, and obtain the optimized heat migration path;

[0009] S3: Based on the optimized heat migration path, collect the temperature data of the pipe network area in real time, analyze whether the temperature in each area of the pipe network exceeds the safety threshold, evaluate the risk level of each area, and generate the regional pipe network safety risk assessment result;

[0010] S4: According to the regional pipe network safety risk assessment result, sort each area, issue adjustment instructions according to the risk changes in different areas, and obtain the regional safety priority adjustment plan;

[0011] S5: Based on the regional safety priority adjustment plan, adjust the heat transfer in the surrounding areas according to the real-time monitoring data, update the pipe network control priority, and generate the feedback result of the scheduled pipe network state.

[0012] As a further solution of the present invention, the heat pulse propagation data includes pulse propagation time, temperature fluctuation data, pressure change data, and flow change data. The heat migration path data includes pulse propagation path, actual heat propagation situation, theoretical path, heat transfer efficiency, and heat loss. The regional official website safety risk assessment result includes pipe network area temperature, temperature threshold, and risk level. The regional safety priority adjustment plan includes regional safety control priority, regional risk change, and adjustment instruction. The feedback result of the scheduled pipe network state includes heat distribution adjustment record, heat transfer optimization result, and pipe network control priority update record.

[0013] As a further solution of the present invention, the specific steps for obtaining the heat pulse propagation data are as follows:

[0014] S111: Apply a heat pulse to the key pipe sections of the heat pipe network, obtain the heat source start time node, collect the temperature, pressure, and flow sensors arranged in the pipe network, count the real-time numerical sequences before and after heating, and calculate the time delay amount of the heat pulse in the pipe section according to the difference between the heat source start time and the response time of each sensor point, and generate the sensor response delay value;

[0015] S112: Based on the sensor response delay value, call the continuous time series data of the temperature and pressure sensors, extract the temperature change amplitude and pressure fluctuation range at several adjacent time points after the heat source starts according to the corresponding time period of each sensor, and calculate the propagation gradient of the pulse wave in the pipe segment according to the order of the sensor positions to obtain the heat propagation gradient range;

[0016] S113: According to the heat propagation gradient range, combine the flow velocity change values of the flow sensor in the corresponding time period, compare the increase and decrease relationship between the heat propagation gradient and the corresponding flow change amount at each position, screen the area where the pulse wave propagation direction and the rate change amplitude are consistent, and count the maximum temperature fluctuation amplitude and the maximum pressure change difference in each time period to obtain the heat pulse propagation data.

[0017] As a further solution of the present invention, the steps for obtaining the optimized heat migration path are specifically as follows:

[0018] S211: According to the heat pulse propagation data, count the temperature change value, pressure fluctuation value, flow change value and response time delay value in the time period corresponding to the pulse propagation, arrange each numerical sequence according to the sensor position order, determine the change amplitude difference in the same pipe segment, judge the propagation trend and continuity of the pulse at each node, and establish the heat pulse path distribution data;

[0019] S212: Based on the heat pulse path distribution data, combine the theoretical heat transfer path sequence of each pipe segment, match the heat pulse path position numbers according to the path node order, calculate the corresponding position offset length, accumulate the offset amount and compare it with the standard path transmission length range, and count the transmission efficiency values of each path segment to generate the heat transfer offset efficiency data;

[0020] S213: According to the heat transfer offset efficiency data, adjust the heat distribution ratio of each pipe segment, judge whether the heat flow direction after the distribution ratio adjustment meets the pulse transmission direction trend, and re-allocate the heat flow values of the remaining nodes to obtain the optimized heat migration path.

[0021] As a further solution of the present invention, the corresponding position offset length is calculated by the formula:

[0022]

[0023] For calculation, where represents the heat pulse position offset length value of the gth path segment, represents the theoretical path length between the jth node and its previous node in the gth path segment, ΔT j (g) represents the absolute value of the difference between the heat pulse response delay value of the jth node and the response delay value of its previous node in the gth path segment, represents the heat pulse path continuity strength value of the jth node in the gth path segment, represents the total theoretical path length of the g-th path segment, and U represents the number of nodes contained in the path segment.

[0024] As a further solution of the present invention, the steps for obtaining the regional pipeline network safety risk assessment results are specifically as follows:

[0025] S311: Based on the optimized heat migration path, real-time temperature values of each measuring point in the corresponding area under the path are collected, sorted according to time series and spatial partitions, multi-area temperature values under the same time node are aggregated and recorded, and the temperature value intervals of the measuring points that are higher or lower than other areas are screened to obtain the regional temperature change interval;

[0026] S312: According to the regional temperature change interval, compare the current regional temperature value with the corresponding safety threshold, select the measurement point area whose temperature exceeds the temperature safety threshold range, count the proportion of points exceeding the temperature threshold in each area, and generate over-temperature risk proportion data;

[0027] S313: Based on the over-temperature risk proportion data, the proportion values of the measuring points in each area are sorted, and the areas exceeding the set critical proportion threshold are set as high-risk areas, the areas below the critical value but not zero are set as medium-risk areas, and the remaining areas are set as low-risk areas. A distribution map corresponding to the risk level is established to obtain the regional pipeline network safety risk assessment results.

[0028] As a further solution of the present invention, the steps for obtaining the regional security priority adjustment solution are specifically as follows:

[0029] S411: extracting the risk level identifier of each area according to the regional pipeline network safety risk assessment result, matching all area numbers with risk levels one by one, sorting the area numbers from high to low according to risk level, and calculating the proportion of the number of areas under each risk level to generate a regional risk ranking value;

[0030] S412: Based on the regional risk ranking value, combined with the current network regional control resource allocation value, compare the resource quantity with the ranking level value of the corresponding area, adjust the resource allocation order, set the resource allocation priority, so that the high ranking value area corresponds to the high resource ratio, and obtain the regional control priority allocation record;

[0031] S413: According to the regional control priority allocation record, extract the current operating status parameter value of each area, calculate the state change rate of each area, mark the area that exceeds the set change rate threshold and issue a resource readjustment instruction, update the control level number of each area, and establish a regional security priority adjustment plan.

[0032] As a further solution of the present invention, the resource allocation priority adopts the formula:

[0033]

[0034] Perform calculations, where K i is the allocation priority of the i-th region, and L i is the regional risk level value, and P i is the initial resource occupancy ratio of the corresponding region, and n is the total number of regions.

[0035] As a further solution of the present invention, the steps for obtaining the feedback result of the pipeline network state after scheduling are specifically as follows:

[0036] S511: Based on the regional safety priority adjustment plan, count the temperature values and heat input and output values of each region currently, screen the regions where the difference between heat input and output is greater than the heat balance deviation threshold, and combine the current control priority order to reallocate the heat of the abnormal regions and reduce the heat inflow of adjacent regions to obtain the optimized heat distribution result;

[0037] S512: According to the optimized heat distribution result, collect the real-time heat transfer value and flow velocity change value of the surrounding regions, judge whether the heat change trend of each connecting pipe section is consistent with the flow direction. If there is a reverse fluctuation trend, record the pipeline network section number, and adjust the corresponding region to the dynamically key supervision region within the current cycle to obtain the regional heat regulation identification set;

[0038] S513: Based on the regional heat regulation identification set, count the difference between the control priority value of each region in the previous cycle and the current cycle's heat distribution, update the current control priority ranking, and establish the feedback result of the pipeline network state after scheduling.

[0039] The safety management system of the heat pipeline network includes:

[0040] The heat pulse monitoring module obtains the heat pulses on the key pipe sections of the heat pipeline network, monitors the propagation process of the pulses in the pipeline network, collects the data of temperature, pressure, and flow sensors in the pipeline network, and records the pulse propagation time, temperature fluctuation, and pressure change in real time to obtain the heat pulse propagation data;

[0041] The heat transfer efficiency analysis module calculates the pulse propagation time in the pipeline network according to the heat pulse propagation data, infers the heat pulse propagation path, compares the difference with the theoretical path, analyzes the heat loss during the transmission process, adjusts the heat distribution of the pipeline network, and obtains the optimized heat migration path;

[0042] The regional safety risk assessment module, based on the optimized heat migration path, collects the temperature data of the pipeline network regions in real time, compares the safety threshold to evaluate the risk level of each region, and generates the regional safety risk assessment result;

[0043] The safety priority adjustment module sorts the risk levels of each area according to the regional safety risk assessment results, adjusts the safety control priority of the pipe network area for areas with different risk levels, and obtains a regional safety priority adjustment plan;

[0044] Based on the regional safety control priority data, the pipe network dispatching feedback module combines real-time monitoring data to adjust the heat transfer in the surrounding areas, updates the heat distribution status of the pipe network, and generates a feedback result of the pipe network status after dispatching.

[0045] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0046] In the present invention, by applying a heat pulse and real-time monitoring the temperature, pressure and flow data in the pipe network, capturing the dynamic changes during the heat transfer process, accurately recording the pulse propagation time, temperature fluctuations and pressure changes, a more detailed state of the heat pipe network is obtained, which helps to analyze the propagation path of the heat pulse and heat loss in real time. By comparing the actual propagation situation with the theoretical path, the transmission efficiency of the pipe network can be evaluated, potential heat transfer problems can be identified. After optimizing the heat distribution, for the temperature fluctuations in each area, risk areas exceeding the safety threshold can be timely identified and accurate risk assessment can be carried out. Based on the real-time temperature data, the safety priority of the pipe network area can be flexibly adjusted to ensure that key areas can be controlled in time. The combination of real-time heat distribution optimization and safety management enhances the response ability to changes in the pipe network, improves the safety and stability of the pipe network operation, reduces the impact of sudden failures, and ensures the continuity and reliability of heat supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a schematic diagram of the step flow of the present invention;

[0048] Figure 2 is a flow chart for obtaining heat pulse propagation data of the present invention;

[0049] Figure 3 is a flow chart for obtaining the optimized heat migration path of the present invention;

[0050] Figure 4 is a flow chart for obtaining the regional pipe network safety risk assessment results of the present invention;

[0051] Figure 5 is a flow chart for obtaining the regional safety priority adjustment plan of the present invention;

[0052] Figure 6 is a flow chart for obtaining the feedback result of the pipe network status after dispatching of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0053] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0055] Please refer to Figure 1 , a safety management method for a heat pipe network, including the following steps:

[0056] S1: Apply a heat pulse to the key pipe sections of the heat pipe network, through a heating current or a directional heat source, monitor the propagation process of the pulse in the pipe network, collect the data of temperature, pressure, and flow sensors in the pipe network, and record the pulse propagation time, temperature fluctuation, and pressure change in real time to obtain heat pulse propagation data;

[0057] S2: According to the heat pulse propagation data, analyze the time delay, temperature change, pressure fluctuation, and flow change, determine the propagation path of the heat pulse, compare the actual heat propagation situation with the theoretical path, evaluate the heat transfer efficiency and loss, adjust the heat distribution in the pipe network, and obtain an optimized heat migration path;

[0058] S3: Based on the optimized heat migration path, collect the temperature data of the pipe network area in real time, analyze whether the temperature of each area in the pipe network exceeds the safety threshold, evaluate the risk level of each area, and generate a regional pipe network safety risk assessment result;

[0059] S4: According to the regional pipe network safety risk assessment result, sort each area, adjust the safety control priority of the pipe network area, and issue corresponding adjustment instructions according to the risk changes in different areas to obtain a regional safety priority adjustment plan;

[0060] S5: Based on the regional safety priority adjustment plan, according to the real-time monitoring data, perform an optimized adjustment of the heat distribution, adjust the heat transfer in the surrounding areas, update the control priority of the pipe network according to the real-time adjustment result, and generate a feedback result of the state of the pipe network after scheduling.

[0061] The heat pulse propagation data includes pulse propagation time, temperature fluctuation data, pressure change data, and flow change data. The heat migration path data includes pulse propagation path, actual heat propagation situation, theoretical path, heat transfer efficiency, and heat loss. The regional official website safety risk assessment results include pipeline area temperature, temperature threshold, and risk level. The regional safety priority adjustment plan includes regional safety management priority, regional risk changes, and adjustment instructions. The pipeline status feedback results after dispatch include heat distribution adjustment records, heat transfer optimization results, and pipeline management priority update records.

[0062] See also Figure 2 , the specific steps of S1 are:

[0063] S111: applying a heating current or a directional heat source to a key pipe section of the thermal network, obtaining a heat source start-up time node, collecting temperature, pressure, and flow sensors arranged in the pipe network, and statistically analyzing the real-time numerical sequence before and after heating. According to the difference between the heat source start-up time and the response time of each sensor point, the time delay of the heat pulse in the pipe section is calculated to generate a sensor response delay value.

[0064] Apply heating current or directional heat source to the key pipe section of the thermal network. The corresponding heat source signal should be configured as a standardized heat input curve. Its starting time should be recorded by the control system as a unified reference time t0. Then call the temperature, pressure, and flow sensor nodes deployed at different positions inside the thermal pipeline, which are recorded as T1, P1, F1, etc., and number and calibrate them according to their spatial distribution coordinates x1, x2, and x3. For example, the sensor spacing is set to 5 meters, and the heat source point is located at x0. Starting from time t0, each sensor records the change process of the corresponding physical value in the time domain. The temperature sensor records in ℃, the sampling interval is 0.5 seconds, and the recording duration is 30 seconds. By differentiating the time series of each group of sensors within 5 seconds before and after heating, the time t1, t2, etc. corresponding to the first deviation of its value from the baseline stable value is determined. According to Δt=t n -t0 formula, calculate the time delay of each sensor response, and then get the position coordinate x n Corresponding propagation delay data, if t1=2.5s, x1=5m in a test, then the propagation speed is 5m / 2.5s=2m / s. In this way, delay calculations are performed on multiple sensor points, and all delay data are aggregated under the same propagation path to form a complete time response sequence data table, and finally the sensor response delay value is obtained.

[0065] S112: Based on the sensor response delay value, call the continuous time series data of the temperature and pressure sensors, extract the temperature change amplitude and pressure fluctuation range at several adjacent time points after the heat source starts according to the corresponding time period of each sensor, and calculate the propagation gradient of the pulse wave in the pipe section according to the sensor position sequence to obtain the heat propagation gradient range;

[0066] Based on the sensor response delay value, call the temperature and pressure sensor time series data corresponding to the delay response time period, and at each determined response moment t n select the data of the 3 sampling points before and after it to form a local subsequence. For example, taking t2 = 3.0s as an example, with a sampling interval of 0.5s, the local sequence is {T(t n -1.5), T(t n -1.0), T(t n -0.5), T(t n ), T(t n +0.5), T(t n +1.0), T(t n +1.5)}, calculate the difference between the maximum value and the minimum value of this sequence, denoted as the temperature fluctuation amplitude ΔT, calculate the pressure fluctuation range ΔP in the same way, and by arranging ΔT and ΔP at different sensor positions in sequence, perform an ordered match according to the coordinate x n and calculate the gradient value G t =(ΔT n+1 -ΔT n ) / Δx for the ΔT difference between any two adjacent points (x n , x n+1 ). Traverse the sensor sequence in the entire pipe section in this way to generate a complete heat transfer gradient vector sequence. If Δx = 5m, ΔT2 = 1.8°C, ΔT3 = 2.4°C, then G t =(2.4 - 1.8) / 5 = 0.12°C / m. Store all the gradient data in a structured array in sequence, and archive it into the heat pulse propagation path in combination with the corresponding coordinate x n to finally obtain the heat propagation gradient range.

[0067] S113: According to the heat propagation gradient range, combined with the flow velocity change value of the flow sensor in the corresponding time period, compare the increase and decrease relationship between the heat propagation gradient and the corresponding flow change amount at each position, screen the area where the pulse wave propagation direction and the rate change amplitude are consistent, and count the maximum temperature fluctuation amplitude and the maximum pressure change difference in each time period to obtain the heat pulse propagation data;

[0068] According to the heat propagation gradient range, call the flow sensor numerical sequence data F in the corresponding time period n(t), the propagation gradient G calculated from ΔT and ΔP at each sensor position t and G p are used as a reference to calculate the flow rate change ΔF at its location n = F n (t n + 1) - F n (t n ). Match the relationship between G t and ΔF n at the position coordinates to determine whether their change directions are consistent. If G t > 0 and ΔF n > 0, or G t < 0 and ΔF n < 0, it is considered that the heat pulse at this point is transmitted downstream. If the direction is opposite, it needs to be recorded as the pulse interference rebound position. For all intervals with consistent directions, screen the maximum temperature fluctuation amplitude Tmax - Tmin and the maximum pressure difference Pmax - Pmin, and record the maximum change amount at each position corresponding to its time position. By summarizing the propagation directions, rate change amplitudes, and fluctuation maximum values of all nodes, a complete heat dynamic change table is formed. For example, at a certain sensor position, ΔF n = 0.3 m 3 / h and G t = 0.05 °C / m, it is determined as a region with consistent directions. At the same time, its temperature fluctuation amplitude is 2.8 °C and the pressure fluctuation amplitude is 0.12 MPa, and finally the heat pulse propagation data is obtained.

[0069] Please refer to Figure 3 , and the specific steps of S2 are as follows:

[0070] S211: According to the heat pulse propagation data, count the temperature change values, pressure fluctuation values, flow rate change values, and response time delay values during the corresponding time period of the pulse propagation. Arrange each numerical sequence in the order of the sensor positions, determine the change amplitude differences within the same pipe section, judge the propagation trend and continuity of the pulse at each node, and establish the heat pulse path distribution data;

[0071] Based on the heat pulse propagation data, four types of parameters including the time delay value, temperature change value, pressure fluctuation value, and flow rate change value contained therein are obtained. According to the sensor number and its spatial layout order, the time series corresponding to each type of parameter are extracted and synchronously processed. During the synchronous processing, the response moment when the pulse arrives at each sensor is located, and by subtracting the heat source start time, the single-point response delay time is obtained. For example, if the response time of sensor T1 is 3.4 seconds and the heat source start time is 0 seconds, then the response delay of T1 is 3.4 seconds. This operation is performed on multiple sensors to form a complete time delay sequence. At the same time, the temperature change value can be calculated by the difference in the average values before and after heating for 5 seconds. For example, if the average temperature of sensor T1 before heating is 58.2 °C and after heating is 65.9 °C, then the change value is 7.7 °C. The pressure fluctuation value is calculated by the difference between the maximum and minimum values in the same time period. For example, if the maximum value within 5 seconds sampled by sensor P1 is 2.1 MPa and the minimum value is 1.8 MPa, then the fluctuation value is 0.3 MPa. The flow rate change value is calculated by the difference in the average flow rates in the 3-second intervals before and after heating. For example, if it is 1.2 m 3 / s before heating and 1.8 m 3 / s after heating, then the change value is 0.6 m 3 / s. A multi-dimensional parameter table indexed by the node number is constructed for the above values. Based on the difference amplitudes of each node in the time delay, temperature change, pressure fluctuation, and flow rate change in this table, a data mutation threshold between adjacent nodes is set. When the change amplitude of the same parameter between consecutive nodes is greater than the set mutation threshold (such as the temperature change mutation threshold is set to 5 °C), it is recorded as an inflection point of the pulse propagation path. According to the connection trend of the mutation characteristics of each node, the overall propagation path direction of the pulse is deduced, and a path continuity intensity value is assigned. The calculation method of the continuity intensity value is the reciprocal of the proportion of the number of mutation nodes in each path segment multiplied by the average response delay value of the path segment. For example, if there are 10 nodes in path segment A, 3 of which are mutation nodes and the average delay is 4 seconds, then the intensity value of this segment is (1 / 0.3)×4 = 13.3. After calculating all path segments and normalizing them to the [0,1] interval, the heat pulse path distribution data is obtained.

[0072] S212: Based on the heat pulse path distribution data, combined with the theoretical heat transfer path sequence of each pipe segment, match the heat pulse path position numbers in the order of path nodes, calculate the corresponding position offset lengths, accumulate the offsets and compare with the standard path transmission length interval, and statistically calculate the transmission efficiency values of each path segment to generate heat transfer offset efficiency data;

[0073] For the corresponding position offset length, use the formula:

[0074]

[0075] to calculate, where, The heat pulse position offset length value representing the g-th path segment Represents the theoretical path length between the j-th node and its previous node in the g-th path segment, ΔT j (g) Represents the absolute value of the difference between the heat pulse response delay value of the j-th node and the response delay value of its previous node in the g-th path segment Represents the heat pulse path continuity intensity value of the j-th node in the g-th path segment Represents the total theoretical path length of the g-th path segment, and U represents the number of nodes (excluding the starting point) contained in the path segment

[0076] It is set that the g-th path segment contains 3 monitoring nodes, numbered j = 1, 2, 3 in sequence, and the corresponding parameter acquisition and values are as follows:

[0077] Node theoretical path length Obtained from the node-to-node distance measurement data in the pipe network drawing and measured by a laser rangefinder:

[0078]

[0079]

[0080] Heat pulse response time T j (g) Recorded by high-sensitivity thermal response sensors installed at the pipe network nodes:

[0081] Heat source start time T0 = 0s;

[0082]

[0083] The delay difference is calculated according to the absolute value of the response time difference between adjacent nodes:

[0084]

[0085] Path continuity intensity value Calculated by multiplying the reciprocal of the proportion of mutation nodes in the path segment where the node is located by the average response delay value of the path:

[0086] Assume that 2 out of 10 nodes in this path segment are mutation nodes, and the average response delay Then the continuity intensity is:

[0087] The individual strength of the node is adjusted according to the relative weight and set respectively in combination with the response consistency of the propagation direction:

[0088]

[0089] Total theoretical path length of the path

[0090]

[0091] Substitute into the formula and calculate term by term:

[0092]

[0093] Sum up:

[0094]

[0095] Substitute into the general formula:

[0096]

[0097] The result shows that there is a spatial offset of 272.27 meters between the heat pulse propagation path of path segment g and its theoretical transmission path. This offset value will be used as an input parameter for the path offset efficiency to participate in the subsequent evaluation of the path transmission efficiency.

[0098] S213: According to the heat transfer offset efficiency data, adjust the heat distribution ratio of each pipe segment, determine whether the heat flow direction after the adjustment of the distribution ratio meets the trend of the pulse transmission direction, and re-allocate the heat flow values of the remaining nodes to obtain the optimized heat migration path;

[0099] According to the heat transfer offset efficiency data, call the response intensity values corresponding to each node in the heat pulse path distribution coefficient, and adjust by comparing the current heat distribution ratio. The heat distribution ratio is based on the original flow rate set for the node. For example, the set value of node N1 is 1.5 m 3 / h. If the response intensity of this node in the path distribution is 0.9 and the average response intensity of the system is 0.6, then the adjustment coefficient is 0.9 / 0.6 = 1.5, and the allocation amount of N1 is adjusted to 1.5 × 1.5 = 2.25 m 3 / h. Process each node in turn to obtain the first-round allocation adjustment values. For the nodes whose response intensity is lower than the average response intensity of 0.6, their allocation amounts are adjusted to the original set values multiplied by the low-value adjustment coefficient, such as the coefficient is 0.5 or below, and after the adjustment, determine whether the adjusted flow direction is consistent with the path direction revealed in the heat transfer offset efficiency. For example, if the actual flow direction in the path is N1 → N3 → N5, but the path with an increased flow rate after allocation is N1 → N2 → N4, then it is regarded as a node with a deviated direction. N2 and N4 are excluded from the heat distribution, and their allocated heat is re-allocated according to the adjusted ratio of the remaining nodes. Finally, obtain the heat distribution value corresponding to each node and its connection relationship sequence to form the optimized heat migration path.

[0100] Please refer to Figure 4 , the specific steps of S3 are as follows:

[0101] S311: Based on the optimized heat migration path, real-time temperature values of each measuring point in the corresponding area under the path are collected, sorted according to time series and spatial partitions, and multi-area temperature values at the same time node are aggregated and recorded, and the temperature value intervals of the measuring points that are higher or lower than other areas are screened to obtain the regional temperature change interval;

[0102] Based on the optimized heat migration path, the node number and corresponding sensor number of each pipe network area under the path are called, and the real-time temperature value of each measuring point is collected node by node. The acquired time series data is classified in time series, and the regional affiliation is classified according to the pipe network topology structure to obtain the temperature spatial distribution information of each area at each time. On this basis, the temperature change amplitude of adjacent areas under each group of time nodes is extracted, and further divided into absolute change value and relative change rate. The absolute change value is obtained by subtracting the temperature of the corresponding area at the previous moment from the temperature of the current area measuring point. The relative change rate is the ratio difference between the current temperature value and the historical steady-state temperature. Taking a certain area in Beijing as an example, if the temperature value of a certain measuring point at 10:00 on March 24, 2024 is 8 2℃, the previous moment was 80℃, and the steady-state temperature was 75℃, then the absolute change value is 2℃, and the relative change rate is (82-75) / 75=0.093, i.e. 9.3%. Subsequently, all measuring points are divided according to the pipe network area, and the maximum and minimum temperature values at each moment are summarized, and the interval difference is calculated. Then, the area where the difference exceeds the set balance difference value interval (set to not more than 5℃) is marked, and the temperature difference of the marked area is recorded to characterize the temperature fluctuation level. Finally, the temperature change interval value of each area in a continuous time period is obtained as the basis for stability judgment, wherein the pipe network area temperature change difference warning threshold is set to 5℃, which is used as the boundary for judging regional temperature imbalance, and finally the regional temperature change interval is generated.

[0103] S312: According to the regional temperature change interval, compare the current regional temperature value with the corresponding safety threshold, select the measurement point area whose temperature exceeds the temperature safety threshold range, count the proportion of points exceeding the temperature threshold in each area, and generate over-temperature risk proportion data;

[0104] According to the regional temperature change range, the maximum temperature of each region within consecutive time slices is extracted by time period. The preset temperature safety threshold of the pipe network system is called and regionally matched. This threshold is divided according to different regional functions. The industrial heat network region is set at 95°C, and the residential heating region is set at 85°C. For example, for a certain industrial region A, the maximum temperatures at multiple time points are 91°C, 97°C, 93°C, 96°C, and 92°C respectively. Among them, 97°C and 96°C exceed the safety threshold, so the total number of over-temperature points in this region is 2. If there are 5 measuring points in the region, the proportion of over-temperature points is 2 / 5 = 0.4. Furthermore, the ratio of the number of points exceeding the threshold in all regions to the total number of points in that region is statistically calculated to obtain the corresponding risk ratio for each region. This ratio serves as the basic parameter for heat risk warning in the thermal system. Further interval division is performed on it. The risk level boundary is set according to the temperature control management ability of the thermal system during the maximum load period. The high-risk interval (0.6, 1] comes from the typical winter operation cycle. When the proportion of over-temperature points in the region exceeds 60%, more than 70% of the heating adjustment resources need to be called to redistribute the pipe network flow. Therefore, this critical value is set at 0.6 as the basis for the high-risk warning threshold. The medium-risk interval (0.3, 0.6] is set based on the fact that when the proportion is between 30% and 60%, the system needs to locally adjust the heat supply of the branches and there is still continuous temperature control adjustment pressure on the next day, while the regions below 30% can be balanced through marginal control. Therefore, the low-risk interval is set as [0, 0.3]. After substituting the above proportion results into the judgment rule, the risk ratio level classification of each region is completed, and finally the over-temperature risk ratio data is generated.

[0105] S313: Based on the over-temperature risk ratio data, sort the ratio of the number of measuring points in each region. Set the regions exceeding the set critical ratio threshold as high-risk areas, the regions lower than the critical value but not zero as medium-risk areas, and the remaining regions as low-risk areas. Establish a distribution map corresponding to the risk level to obtain the regional pipe network safety risk assessment result;

[0106] Based on the data of the proportion of over-temperature risk, sort the proportion values of each pipe network area from large to small, and combine with the setting results of the aforementioned risk level intervals to classify and assign values to each area. Set the risk level of the areas belonging to the high-risk interval (0.6, 1] as 3, the medium-risk interval (0.3, 0.6] as level 2, and the low-risk interval [0, 0.3] as level 1. Then, generate a two-dimensional matrix diagram by combining the topological structure diagram of the pipe network and the area location code. The horizontal axis is the area number, and the vertical axis is the risk level identifier. Different risk levels are displayed through color mapping. For example, red represents the high risk of level 3, orange represents the medium risk of level 2, and green represents the low risk of level 1. For example, if the proportions of over-temperature risk corresponding to the area numbers A01, A02, and A03 are 0.2, 0.45, and 0.75 respectively, their risk levels are 1, 2, and 3 in sequence, corresponding to the green, orange, and red areas in the risk map. Finally, correspond the area level identifier with its spatial position to achieve the risk visualization mapping of the overall pipe network, output the risk level values and spatial distribution matrix of each area, and obtain the safety risk assessment results of the area pipe network.

[0107] Please refer to Figure 5 , the specific steps of S4 are as follows:

[0108] S411: According to the safety risk assessment results of the area pipe network, extract the risk level identifiers of each area, match all area numbers with the risk levels one by one, sort the area numbers in descending order of risk level, and calculate the proportion of the number of areas under each risk level to generate the area risk ranking value;

[0109] When extracting the risk level identifiers for each region based on the results of the regional pipe network security risk assessment, it is first necessary to assign quantifiable level weight values to the three levels of high, medium, and low. For example, the high level is 3, the medium level is 2, and the low level is 1. Convert the risk level into a numerical quantification form to facilitate subsequent sorting and comparison operations. Subsequently, extract the corresponding level identifiers for each region one by one from the regional risk results, and match them with the region numbers to form an initial risk comparison table. For example, if region A01 is evaluated as high risk, region A02 is medium risk, region A03 is low risk, region A04 is high risk, and region A05 is medium risk, then their corresponding risk level values are 3, 2, 1, 3, 2 in sequence, obtaining the sequence [A01 - 3, A02 - 2, A03 - 1, A04 - 3, A05 - 2]. Then sort this sequence in descending order of numerical value to obtain the priority sorted list [A01 - 3, A04 - 3, A02 - 2, A05 - 2, A03 - 1]. Based on this sorting result, count the number of regions in each risk level and calculate the proportion. Among the 5 regions, there are 2 high - risk regions, 2 medium - risk regions, and 1 low - risk region. Then the high - risk proportion is 0.4, the medium - risk proportion is 0.4, and the low - risk proportion is 0.2. The above process constitutes the generation basis of the regional risk sorting level value and can represent the importance degree of each level of regions in the pipe network security. The detailed data is as follows:

[0110] Table 1 Example Parameter Table for Regional Priority Adjustment

[0111]

[0112] As shown in Table 1, the current resource proportion of each region is not strictly allocated according to the risk level. In the follow - up, it is necessary to adjust the resource ratio based on the sorting level to obtain a new resource priority coefficient for control strategy setting.

[0113] S412: Based on the regional risk sorting value, combined with the current pipe network regional control resource allocation value, compare the resource quantity with the sorting level value of the corresponding region, adjust the resource allocation order, set the resource allocation priority, so that the region with a high sorting value corresponds to a high resource ratio, and obtain the regional control priority allocation record;

[0114] Based on the regional risk sorting level value, call the current resource proportion data listed in Table 1, compare the matching relationship between the current resource ratio and the sorting level, and judge whether there is a problem that the resource allocation is inconsistent with the risk level. If the current resource proportion of the high - risk region is lower than the expected allocation value of the sorting, it is necessary to increase its resource proportion, and vice versa. The specific adjustment ratio can be allocated according to the set priority adjustment function. The resource allocation priority calculation formula is:

[0115]

[0116] Among them, K iis the allocation priority for the i-th area, L i is the area risk level value, P i is the initial resource occupancy ratio of this area, n is the total number of areas, and substitute according to the data in Table 1:

[0117] A01: L1 = 3, P1 = 35%,

[0118] A02: L2 = 2, P2 = 25%,

[0119] A03: L3 = 1, P3 = 15%,

[0120] A04: L4 = 3, P4 = 30%,

[0121] A05: L5 = 2, P5 = 20%

[0122] Then the denominator is calculated as follows:

[0123]

[0124] Then calculate the adjustment coefficient of each area:

[0125] A01:

[0126] A02:

[0127] A03:

[0128] A04:

[0129] A05:

[0130] This result shows that A01 and A04 should obtain higher resource priority weights, and A03 has the lowest priority. After adjustment, the resource allocation strategy of each area can be reset according to the above ratio, so as to obtain the allocation record of the area control priority.

[0131] S413: According to the allocation record of the area control priority, extract the current operation status parameter values of each area, calculate the state change rate of each area, mark the areas that exceed the set change rate threshold and issue a resource readjustment instruction, update the control level numbers of each area, and establish an area security priority adjustment plan;

[0132] According to the regional control priority allocation record, further extract the latest round of operation status parameters for each region, including numerical indicators such as the temperature change rate, the pressure fluctuation frequency, and the flow rate change ratio. Conduct a single-region time series analysis on these status data to judge the trend change direction and change speed. Set the status change rate threshold to 15%, that is, if the average change rate of parameters such as the temperature rise rate and the pressure fluctuation frequency change in the same region exceeds 15% within three consecutive monitoring periods, it is regarded as an area with abnormal status fluctuations (mainly set based on the temperature change range, the pressure fluctuation amplitude, and the stable amplitude of the flow rate disturbance ratio in each region of the pipe network under steady-state operation conditions. The setting basis is: the stable operation fluctuation range of temperature should be controlled within ±1.5°C, and the heating or cooling rate per minute should be controlled within 0.2°C. The maximum change amplitude within a 10-minute time window is 2°C, corresponding to a change rate of 13.3%; for the convenience of execution and to cover some disturbed areas, the threshold is comprehensively set to 15%. This value is positively correlated with the sampling period length, the regional capacity, and the sensor sensitivity. When the sampling period is shortened or the regional heat load increases, the threshold needs to be appropriately increased to 18% - 20%; otherwise, it can be reduced to 10% - 12% to reflect whether the change in the regional operation status exceeds the reasonable fluctuation range and avoid misjudging the control level), and then combine the control priority obtained in the previous step to eliminate high-priority areas without status fluctuations, and focus on adjusting the control level of areas with abnormal status. Suppose A01 and A04 are high-priority areas, where the temperature rise rate of A04 is 18% and that of A01 is 12%, then only issue an adjustment instruction for A04 to increase its control intensity, and at the same time reduce the priority of A01; in addition, if the risk level of A03 is low, but its recent status change rate reaches 20%, its priority also needs to be temporarily increased by one level and a resource compensation scheduling order is issued. Finally, establish a matching data table for the region numbers and the priority adjustment results, and generate a regional safety priority adjustment plan.

[0133] Please refer to Figure 6 , and the specific steps of S5 are as follows:

[0134] S511: Based on the regional safety priority adjustment plan, count the temperature values and heat input and output values of each region currently, screen the regions where the difference between the heat input and output is greater than the heat balance deviation threshold, and combine the current control priority order to reallocate the heat of the abnormal regions and reduce the heat inflow of adjacent regions to obtain the optimized heat distribution result;

[0135] Based on the regional safety priority adjustment plan, call the temperature values and heat input and output values of each region currently. First, pair the heat input value Q in and the heat output value Q out of each region in the pipe network, and calculate their heat difference ΔQ = Q in - Q outObtain the heat offset. The input value of area number A01 is 3200 kJ and the output value is 3000 kJ, resulting in a difference of 200 kJ. For area A02, it is 2800 kJ and 2600 kJ, with the same difference of 200 kJ. If the system sets the heat balance deviation threshold to 150 kJ, then the above two areas are determined as abnormal heat distribution areas due to the deviation being greater than the threshold. Continue to perform the same processing on the remaining areas. The difference in area A03 is 100 kJ, which is less than the threshold, and it is marked as normal. A04 is 150 kJ, which is equal to the threshold critical value and needs to be included in the abnormal mark. The relevant data is shown in Table 2:

[0136] Table 2 Heat Transfer Deviation Judgment Table

[0137]

[0138]

[0139] As shown in Table 2, areas where the determined heat difference is greater than or equal to 150 kJ are all heat imbalance areas. Subsequently, according to the abnormal area numbers, look up the corresponding priority settings in the area safety priority adjustment plan. For example, areas A01, A02, and A04 are set as first-level, second-level, and third-level priorities respectively. Adjust the heat in order from high to low according to the priority order. Add a heat allocation value of 250 kJ in area A01, 200 kJ in area A02, and 150 kJ in area A04, and lower the input heat of the adjacent normal area such as A03 to 3350 kJ, so as to release adjustable margin for high-priority areas. Finally, combine all adjustment results to form the heat optimization distribution result.

[0140] S512: According to the heat optimization distribution result, collect the real-time heat transfer values and flow rate change values of the surrounding areas, and judge whether the heat change trend of each connecting pipe section is consistent with the flow direction. If there is a reverse fluctuation trend, record the pipeline network section number, and adjust the corresponding area to the dynamic key supervision area within the current cycle, and obtain the area heat regulation identification set;

[0141] According to the optimized heat distribution result, collect the real-time heat transfer value and the flow rate change value in the surrounding area, correspond the numbers of each adjacent pipe section with the adjustment area, and sequentially detect the change trend of the transmitted heat difference within the adjustment period. At the same time, collect the heat flow direction change identifier. By calculating whether the heat flow direction of the same pipe section reverses at two time points, if the direction changes from input to output or changes in the reverse direction, then mark this trend as reverse fluctuation, and determine that the heat regulation of this pipe section is abnormal. In a certain regulation period, if the heat flow direction of the pipe section between area A01 and area A02 changes from A01→A02 to A02→A10, and at the same time the heat value in this pipe section changes from +180 kJ to -110 kJ, meeting the reverse marking condition, record the pipe section numbered D12. At the same time, judge that the area A02 connected to this pipe section has an abnormal heat distribution state for two consecutive periods. Combining the system-set dynamic key supervision identification rule, when a certain area shows reverse fluctuation and the heat deviation value is greater than the preset reference difference (set as ±100 kJ) in two consecutive periods, mark it as a key supervision area. After performing comparison processing on the above indicators, mark areas A02 and A04 into the key supervision list of the current period, and finally establish a regional heat regulation identification set.

[0142] S513: Based on the regional heat regulation identification set, count the difference between the control priority value of each area in the previous period and the heat distribution in the current period, update the current control priority ranking, and establish the feedback result of the pipe network state after scheduling;

[0143] Based on the regional heat regulation identification set, call the difference value between the control priority value of each area in the previous period and the heat distribution in the current period. First, compare the change trend of the priority in the two periods to judge whether the priority of the area has increased or decreased. Set the change identification value as the change amount of the priority serial number. That is, if the area A02 is adjusted from the priority serial number "3" to "1", then its change value is 2. Subsequently, pair this change value with the heat difference of each area, and mark the area where the change value exceeds the threshold 1 and the heat difference exceeds 200 kJ as the area with significant priority change. Taking A02 as an example, the original priority is 3, the current is 1, the change value is 2, and the heat difference is 200 kJ, meeting the conditions. Continue to analyze the overall ranking of the pipe network, re-rank the areas where changes occur. If the adjustment of A02 affects the redistribution of the heat flow of A03 and causes its deviation value to rise, then A03 is also included in the secondary adjustment range. At the same time, count the ratio of the number of areas with a change amplitude exceeding the change threshold to the total number of areas, and obtain a ratio of 0.5, that is, 2 out of 4 areas have an adjustment amplitude exceeding the standard. Archive and organize the adjustment results of this batch, and finally establish the feedback result of the pipe network state after scheduling.

[0144] The safety management system of the heat pipe network includes:

[0145] The heat pulse monitoring module acquires the heat pulses on the key pipe sections of the heat pipe network, monitors the propagation process of the pulses in the pipe network, collects the data of temperature, pressure, and flow sensors in the pipe network, and records the pulse propagation time, temperature fluctuation, and pressure change in real time to obtain the heat pulse propagation data;

[0146] The heat transfer efficiency analysis module calculates the pulse propagation time in the pipe network based on the heat pulse propagation data, infers the heat pulse propagation path, compares the difference with the theoretical path, analyzes the heat loss during the transmission process, adjusts the heat distribution in the pipe network, and obtains the optimized heat migration path;

[0147] The regional safety risk assessment module, based on the optimized heat migration path, collects the temperature data of the pipe network area in real time, evaluates the risk levels of each area by comparing with the safety threshold, and generates the regional safety risk assessment results;

[0148] The safety priority adjustment module sorts the risk levels of each area according to the regional safety risk assessment results, and adjusts the safety control priorities of the pipe network areas for areas with different risk levels to obtain the regional safety priority adjustment plan;

[0149] The pipe network scheduling feedback module adjusts the heat transfer in the surrounding areas based on the regional safety control priority data and combines the real-time monitoring data, updates the heat distribution status of the pipe network, and generates the feedback result of the pipe network status after scheduling.

[0150] The above is only the preferred embodiment of the present invention, and it is not intended to limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A safety management method for a heating pipeline network, characterized in that It includes the following steps: S1: Apply a heat pulse to the key pipe sections of the heat pipe network, monitor the propagation process of the pulse in the pipe network, collect the data of temperature, pressure, and flow sensors in the pipe network, and record the pulse propagation time, temperature fluctuation, and pressure change in real time to obtain the heat pulse propagation data; S2: According to the heat pulse propagation data, analyze the time delay, temperature change, pressure fluctuation, and flow change, determine the heat pulse propagation path, compare it with the theoretical path, evaluate the heat transfer efficiency and loss, adjust the heat distribution in the pipe network, and obtain the optimized heat migration path; S3: Based on the optimized heat migration path, collect the temperature data of the pipe network area in real time, analyze whether the temperature in each area of the pipe network exceeds the safety threshold, evaluate the risk level of each area, and generate the regional pipe network safety risk assessment result; S4: According to the regional pipe network safety risk assessment result, sort each area, and issue adjustment instructions according to the risk changes in different areas to obtain the regional safety priority adjustment plan; S5: Based on the regional safety priority adjustment plan, adjust the heat transfer in the surrounding areas according to the real-time monitoring data, update the pipe network control priority, and generate the feedback result of the pipe network state after scheduling.

2. The safety management method of the heat pipe network according to claim 1, wherein, The heat pulse propagation data includes the pulse propagation time, temperature fluctuation data, pressure change data, and flow change data. The heat migration path data includes the pulse propagation path, actual heat propagation situation, theoretical path, heat transfer efficiency, and heat loss. The regional official website safety risk assessment result includes the pipe network area temperature, temperature threshold, and risk level. The regional safety priority adjustment plan includes the regional safety control priority, regional risk change, and adjustment instruction. The feedback result of the pipe network state after scheduling includes the heat distribution adjustment record, heat transfer optimization result, and pipe network control priority update record.

3. The safety management method of the heat pipe network according to claim 1, wherein The specific steps for obtaining the heat pulse propagation data are as follows: S111: Apply a heat pulse to the key pipe sections of the heat pipe network, obtain the heat source start time node, collect the temperature, pressure, and flow sensors arranged in the pipe network, count the real-time numerical sequence before and after heating, and calculate the time delay of the heat pulse in the pipe section according to the difference between the heat source start time and the response time of each sensor point to generate the sensor response delay value; S112: Based on the sensor response delay value, call the continuous time series data of the temperature and pressure sensors, extract the temperature change amplitude and pressure fluctuation range of several adjacent time points after the heat source starts according to the corresponding time period of each sensor, and calculate the propagation gradient of the pulse wave in the pipe section according to the order of each sensor position to obtain the heat propagation gradient range; S113: According to the heat propagation gradient range, combine the flow velocity change value of the flow sensor in the corresponding time period, compare the increase and decrease relationship between the heat propagation gradient at each position and the corresponding flow change amount, screen the area where the propagation direction and rate change amplitude of the pulse wave are consistent, count the maximum amplitude of temperature fluctuation and the maximum difference of pressure change in each time period, and obtain the heat pulse propagation data.

4. The safety management method for a heating pipe network according to claim 1, wherein, The specific steps for obtaining the optimized heat migration path are as follows: S211: According to the heat pulse propagation data, the temperature change value, pressure fluctuation value, flow change value and response time delay value in the corresponding time period of the pulse propagation are counted, each value sequence is arranged in the order of sensor position, the difference in the change amplitude in the same pipe section is determined, the propagation trend and continuity of the pulse at each node are judged, and the heat pulse path distribution data is established; S212: Based on the heat pulse path distribution data, combined with the theoretical heat transfer path sequence of each pipe segment, the heat pulse path position number is matched according to the path node sequence, the corresponding position offset length is calculated, the offset is accumulated and compared with the standard path transmission length interval, and the transmission efficiency value of each path segment is counted to generate heat transfer offset efficiency data; S213: According to the heat transfer offset efficiency data, the heat distribution ratio of each pipe section is adjusted to determine whether the heat flow direction after the distribution ratio adjustment meets the pulse transmission direction trend, and the heat flow values of the remaining nodes are reallocated to obtain the optimized heat migration path.

5. The safety management method of the thermal pipeline network according to claim 4, characterized in that, The corresponding position offset length is calculated using the formula: Perform calculations, where represents the heat pulse position offset length value of the g-th path segment, represents the theoretical path length between the j-th node and its previous node in the g-th path segment, represents the absolute value of the difference between the heat pulse response delay value of the j-th node and the response delay value of its previous node in the g-th path segment, represents the heat pulse path continuity intensity value of the j-th node in the g-th path segment, represents the total theoretical path length of the g-th path segment, and U represents the number of nodes included in the path segment.

6. The safety management method of the heat pipe network according to claim 1, characterized in that, The specific steps for obtaining the results of regional pipeline network safety risk assessment are as follows: S311: Based on the optimized heat migration path, real-time temperature values of each measuring point in the corresponding area under the path are collected, sorted according to time series and spatial partitions, multi-area temperature values under the same time node are aggregated and recorded, and the temperature value intervals of the measuring points that are higher or lower than other areas are screened to obtain the regional temperature change interval; S312: According to the regional temperature change interval, compare the current regional temperature value with the corresponding safety threshold, select the measurement point area whose temperature exceeds the temperature safety threshold range, count the proportion of points exceeding the temperature threshold in each area, and generate over-temperature risk proportion data; S313: Based on the over-temperature risk proportion data, the proportion values of the measuring points in each area are sorted, and the areas exceeding the set critical proportion threshold are set as high-risk areas, the areas below the critical value but not zero are set as medium-risk areas, and the remaining areas are set as low-risk areas. A distribution map corresponding to the risk level is established to obtain the regional pipeline network safety risk assessment results.

7. The safety management method of the heat pipe network according to claim 1, characterized in that, The specific steps for obtaining the regional security priority adjustment plan are as follows: S411: extracting the risk level identifier of each area according to the regional pipeline network safety risk assessment result, matching all area numbers with risk levels one by one, sorting the area numbers from high to low according to risk level, and calculating the proportion of the number of areas under each risk level to generate a regional risk ranking value; S412: Based on the regional risk ranking value, combined with the current network regional control resource allocation value, compare the resource quantity with the ranking level value of the corresponding area, adjust the resource allocation order, set the resource allocation priority, so that the high ranking value area corresponds to the high resource ratio, and obtain the regional control priority allocation record; S413: According to the regional control priority allocation record, extract the current operating status parameter value of each area, calculate the state change rate of each area, mark the area that exceeds the set change rate threshold and issue a resource readjustment instruction, update the control level number of each area, and establish a regional security priority adjustment plan.

8. The safety management method of the heat pipe network according to claim 7, characterized in that The resource allocation priority adopts the formula: Perform calculations, where K i is the allocation priority of the i-th region, L i is the regional risk level value, P i is the initial resource occupancy ratio of the corresponding region, and n is the total number of regions.

9. The safety management method of the heat pipe network according to claim 1, characterized in that The steps for obtaining the feedback result of the pipe network state after scheduling are specifically as follows: S511: Based on the regional safety priority adjustment plan, statistically analyze the temperature values and heat input / output values of each region currently, screen out the regions where the difference between heat input and output is greater than the heat balance deviation threshold, and combine the current control priority order to redistribute the heat in the abnormal regions and reduce the heat inflow of adjacent regions to obtain the heat optimization distribution result; S512: According to the heat optimization distribution result, collect the real-time heat transfer values and flow velocity change values of the surrounding regions, judge whether the heat change trend and flow direction of each connecting pipe section are consistent. If there is a reverse fluctuation trend, record the pipe network section number, and adjust the corresponding region to the dynamic key supervision region within the current cycle to obtain the regional heat control identification set; S513: Based on the regional heat control identification set, statistically analyze the difference between the control priority values of each region in the previous cycle and the heat distribution in the current cycle, update the current control priority sorting, and establish the feedback result of the pipe network state after scheduling.

10. Safety management system for a heating pipe network, characterized in that, According to the safety management method of the heat pipe network according to any one of claims 1-9, the system includes: The heat pulse monitoring module obtains the heat pulses on the key pipe sections of the heat pipe network, monitors the propagation process of the pulses in the pipe network, collects the data of temperature, pressure, and flow sensors in the pipe network, and records the pulse propagation time, temperature fluctuation, and pressure change in real time to obtain the heat pulse propagation data; The heat transfer efficiency analysis module calculates the pulse propagation time in the pipe network according to the heat pulse propagation data, infers the heat pulse propagation path, compares the difference with the theoretical path, analyzes the heat loss during the transmission process, and adjusts the heat distribution in the pipe network to obtain the optimized heat migration path; The regional safety risk assessment module, based on the optimized heat migration path, collects the temperature data of the pipe network region in real time, compares the safety threshold to evaluate the risk level of each region, and generates the regional safety risk assessment result; The safety priority adjustment module sorts the risk levels of each region according to the regional safety risk assessment result, and adjusts the safety control priority of the pipe network region for regions with different risk levels to obtain the regional safety priority adjustment plan; The pipe network scheduling feedback module adjusts the heat transfer of the surrounding regions based on the regional safety control priority data and combines the real-time monitoring data, updates the heat distribution status of the pipe network, and generates the feedback result of the pipe network state after scheduling.

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