Energy-saving continuous regulation control method and system for heat tracing band with tank temperature feedback

Abstract

The application discloses a tank temperature feedback heat tracing band energy-saving type continuous regulation control method and system, and relates to the technical field of electric heat tracing temperature regulation control. The method comprises the following steps: a plurality of temperature measuring nodes are arranged on the surface of equipment along the direction of the heat tracing band to collect real-time temperature; surface temperature distribution parameters are calculated in combination with the spatial positions of the nodes; abnormal areas are located and identified according to the distribution parameters; backtracking analysis is carried out on the abnormal areas; continuous regulation strategies are reconstructed in combination with the backtracking results and the real-time temperature; and the heat tracing band output is continuously regulated according to the strategies. The technical problem that the traditional heat tracing band temperature control lacks accurate perception and abnormal positioning ability for the unevenness of the surface temperature distribution of equipment and cannot realize continuous regulation based on the spatial temperature field characteristics is solved, and the technical effect of reducing excessive heating caused by the synchronous increase of heating power on non-abnormal sections is achieved. The actual energy-saving range and the improvement degree of temperature uniformity are subject to the test results of specific equipment and working conditions.

Description

Technical Field

[0001] This invention relates to the field of electric heat tracing temperature regulation and control technology, specifically to an energy-saving continuous regulation and control method and system for heat tracing cables with tank temperature feedback. Background Technology

[0002] Electric heat tracing technology is widely used in tanks, pipelines, and other industrial equipment requiring low-temperature insulation. In cold environments, the internal medium of equipment may liquefy, solidify, increase in viscosity, or experience abnormal pressure due to temperature drops, thereby affecting the equipment's insulation performance, breaking capacity, and operational reliability. Taking a tank-type circuit breaker using SF6 gas as the insulation and arc-extinguishing medium as an example, when the ambient temperature continues to decrease, the gas inside the tank may tend to liquefy, causing a drop in gas pressure and potentially triggering low-pressure alarms, equipment lockout, or reduced operational performance. Therefore, heating tape is typically laid on the outer surface of the equipment tank to increase the temperature of the tank and its internal medium through electrothermal conversion and heat conduction through the tank wall.

[0003] Most existing heating cables use a resistance heating structure. In cold seasons, these cables often need to operate for extended periods. Some traditional control devices primarily rely on ambient temperature to set activation and deactivation thresholds. The cable is activated when the ambient temperature falls below the activation threshold and deactivated when the temperature rises back to the deactivation threshold. This control method fails to reflect the actual thermal state of the heated equipment. The heating cable may operate at high power when not required, resulting in energy waste and accelerating the aging of heating elements, insulation layers, and connecting components, increasing the risk of loose connections, wire breaks, and burnout. Furthermore, when a heating cable malfunctions, maintenance personnel may only be able to indirectly assess its condition through equipment pressure or operating status, leading to a delay in fault detection. Summary of the Invention

[0004] This application provides an energy-saving continuous adjustment and control method and system for tank temperature feedback heating cables. The key feature is that it solves the technical problem of traditional heating cable temperature control lacking the ability to accurately perceive and locate abnormalities in the uneven temperature distribution on the equipment surface, thus failing to achieve continuous adjustment based on spatial temperature field characteristics. It achieves this by performing spatial distribution analysis, abnormal area location, and abnormal backtracking on multi-point temperature data on the equipment surface, and by reconstructing the continuous adjustment strategy of the heating cable in conjunction with real-time temperature data. This allows the heating cable to adjust its power in a directional manner according to the temperature state of different areas on the equipment surface, thereby reducing overheating caused by synchronously increasing heating power in non-abnormal sections. The actual energy saving and temperature uniformity improvement are subject to test results for specific equipment and operating conditions.

[0005] The first aspect of this application provides an energy-saving continuous regulation and control method for a heating cable with tank temperature feedback, the method comprising:

[0006] Multiple temperature acquisition nodes are set up on the surface of the heated equipment along the direction of the heating cable, and real-time temperature data of each temperature acquisition node is read. Based on the spatial relationship of each temperature acquisition node, the surface temperature distribution parameters of the equipment are calculated. The surface temperature distribution parameters include the difference between the maximum and minimum temperatures, the temperature difference between adjacent acquisition nodes, and the average deviation of each temperature acquisition node. The surface temperature distribution parameters are used to locate abnormal areas and establish abnormal identification areas. Anomaly backtracking analysis is performed on the abnormal identification areas to establish anomaly backtracking analysis results. The continuous adjustment strategy of the heating cable is reconstructed based on the anomaly backtracking analysis results and real-time temperature data, and continuous adjustment control of the heating cable is performed based on the continuous adjustment strategy.

[0007] A second aspect of this application provides an energy-saving continuous regulation and control system for tank temperature feedback using a heating cable, the system comprising:

[0008] Data Reading Module: Multiple temperature acquisition nodes are set up on the surface of the heated equipment along the direction of the heating cable, and real-time temperature data from each node is read. Temperature Distribution Calculation Module: Temperature distribution parameters on the equipment surface are calculated based on the spatial relationship of each temperature acquisition node. These parameters include the difference between the maximum and minimum temperatures, the temperature difference between adjacent acquisition nodes, and the average deviation of each node. Anomaly Location Module: Anomaly location is performed using the temperature distribution parameters, and anomaly identification areas are established. Backtracking Analysis Module: Anomaly backtracking analysis is performed on the anomaly identification areas, and anomaly backtracking analysis results are established. Adjustment and Control Module: The continuous adjustment strategy of the heating cable is reconstructed based on the anomaly backtracking analysis results and real-time temperature data, and continuous adjustment and control of the heating cable is executed based on this strategy.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] First, multiple temperature detection nodes are arranged along the laying path of the heating cable on the surface of the heated equipment to acquire real-time temperature change information. Then, based on the positional correlation between the temperature detection nodes, spatial distribution analysis is performed on the collected temperature data to calculate characteristic parameters reflecting the uniformity of the equipment surface temperature and local temperature differences. Next, abnormal temperature areas are identified based on the temperature distribution characteristics, and corresponding abnormality identification ranges are formed. Then, disturbance response and temperature change characteristic analysis are performed on the abnormal areas to trace the causes of the temperature anomalies. Finally, combining the anomaly analysis results and the current temperature status, the output power of each area of ​​the heating cable is dynamically adjusted to form a continuously changing regulation and control strategy, achieving precise control and energy-saving operation of the heating cable process. Attached Figure Description

[0011] 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.

[0012] Figure 1 A schematic diagram of the energy-saving continuous regulation and control method for tank temperature feedback provided in this application embodiment.

[0013] Figure 2 This is a schematic diagram of time series smoothing of temperature acquisition nodes provided in the embodiments of this application.

[0014] Figure 3 A schematic diagram of the structure of the energy-saving continuous regulation and control system for tank temperature feedback provided in this application embodiment.

[0015] Figure labeling: Data reading module 11, temperature distribution calculation module 12, anomaly location module 13, backtracking analysis module 14, regulation and control module 15. Detailed Implementation

[0016] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0017] Example 1, as Figure 1 As shown, this application provides an energy-saving continuous regulation and control method for a heating cable with tank temperature feedback, wherein the method includes:

[0018] Multiple temperature acquisition nodes are set on the surface of the heated equipment along the direction of the heating cable, and the real-time temperature data of each temperature acquisition node is read.

[0019] In this embodiment, the actual extension path of the heating cable on the surface of the heated equipment is first used as the basis for the layout of temperature acquisition nodes. The layout path from the beginning to the end of the heating cable is defined as a spatial coordinate axis. At least three temperature acquisition nodes are set on the equipment surface corresponding to the path according to a preset spacing. The temperature acquisition nodes can be platinum resistance temperature sensors, thermocouples or digital temperature sensors. Preferably, three-wire or four-wire PT100 platinum resistance temperature sensors are used. Each temperature sensor is tightly fixed to the outer surface of the tank by thermally conductive adhesive, metal pressure plate or clamp, and a heat insulation protective layer is covered on the outside of the sensor to reduce the interference of ambient wind speed, snowfall and radiative heat exchange on the measurement results. Temperature acquisition nodes can be arranged at equal intervals or non-equal intervals depending on the tank structure. For example, temperature acquisition nodes can be added at the tank end, flange connection, support parts, windward side, bending points of the tracing cable, and locations where the insulation structure changes. Each temperature acquisition node is assigned a unique node number, and its path coordinates along the tracing cable layout direction, the corresponding tank area, and the corresponding tracing cable section are recorded, thus establishing a mapping relationship between node number, spatial location, and tracing cable section. The detection signal from the temperature sensor is converted into a 4-20mA analog signal by a temperature transmitter, or transmitted to a PLC or other controller via digital communication methods such as RS485. The controller reads the temperature of each node sequentially according to a preset sampling period, which can be set to 1-10 seconds. Each time the data is read, the node number, sampling time, spatial location, and temperature measurement value are combined to form a set of node temperature data. After reading the temperature data, zero-point correction and range correction are performed according to the calibration coefficients of each temperature sensor. The validity of data that exceeds the effective range of the sensor, remains unchanged for multiple consecutive cycles, has a sudden change in adjacent cycles exceeding a preset limit, or has a communication timeout is judged. For valid data, the moving average of several consecutive sampled values ​​can be used as the real-time temperature of the corresponding node. For temporarily invalid node data, the previous valid temperature value of the node or the interpolated temperature of an adjacent valid node can be used as a temporary substitute value, and a node anomaly flag is generated simultaneously. After the above processing is completed, the temperature data obtained at the same sampling time are arranged into a real-time temperature sequence according to the spatial order of each node along the direction of the tracing cable deployment. This temperature sequence is stored in the controller's data register or the host computer database for subsequent use in calculating surface temperature distribution parameters of the equipment, locating abnormal areas, and continuously adjusting the power of the tracing cable.

[0020] Furthermore, the real-time temperature data from the temperature acquisition nodes is smoothed over time, and the surface temperature distribution parameters of the equipment and the location of abnormal areas are calculated based on the smoothed real-time temperature data.

[0021] Preferably, the system synchronously reads the real-time temperature of each temperature acquisition node at a preset sampling period, and establishes a data buffer of length L for each temperature acquisition node. Let the original temperature obtained by the i-th temperature acquisition node in the k-th sampling period be... Each time the system obtains a new temperature value, it writes that value to the corresponding cache and deletes the oldest temperature value from the cache, and then... Calculate the smoothed temperature of the i-th temperature acquisition node. If there are fewer than L sampling periods after system startup, the smoothed temperature is the arithmetic mean of all currently obtained valid temperature values. After smoothing the time series of all nodes, a smoothed temperature series is formed according to the node positions along the direction of the heating cable deployment. Then, based on the smooth temperature sequence, subsequent calculations of equipment surface temperature distribution parameters and abnormal area location are performed, thereby suppressing the interference of instantaneous measurement fluctuations on abnormality judgment and improving the accuracy and stability of calculation and location.

[0022] like Figure 2 As shown, the original temperature data from the temperature acquisition node and the temperature curve after processing with a 5-point moving average are displayed. The smoothed curve effectively reduces the short-term random fluctuations in the original data, while retaining the overall temperature change trend and local low-temperature anomaly characteristics. Especially in the simulated low-temperature period of about 130s to 200s, the smoothed curve can still clearly reflect the temperature drop and recovery process, which is conducive to improving the stability of subsequent temperature distribution calculation and anomaly area location.

[0023] The surface temperature distribution parameters of the equipment are calculated based on the spatial relationship of each temperature acquisition node. The surface temperature distribution parameters include the difference between the maximum and minimum temperatures, the temperature difference between adjacent acquisition nodes, and the average deviation of each temperature acquisition node.

[0024] In one embodiment, after smoothing the time series of real-time temperatures at each temperature acquisition node, smoothed temperature data at the same sampling time are extracted, and all temperature acquisition nodes are sorted according to the direction from the power supply end to the end of the heating tape, based on pre-stored node position coordinates. Let the number of temperature acquisition nodes be n, and the position coordinates of the i-th temperature acquisition node be... The smoothed temperature corresponding to the k-th sampling time is And satisfy The system first iterates through the smoothed temperature sequence to determine the highest and lowest temperatures, and then... The maximum temperature difference on the device surface is calculated; this maximum temperature difference characterizes the degree of unevenness in the overall temperature distribution on the device surface at the current moment. Subsequently, the temperature difference between each pair of adjacent temperature acquisition nodes is calculated sequentially according to the node sorting result. The directed temperature difference value of the i-th adjacent node pair is calculated according to... Calculate, where, A negative value indicates that the temperature decreases along the direction of the tracing cable installation. A positive value indicates that the temperature rises along the direction of the heat tracing cable installation. Simultaneously, the absolute value of the temperature difference between adjacent temperatures is calculated. and nodes ,node Location range The directed temperature difference values ​​and the absolute values ​​of adjacent temperature differences are stored together. Then, according to... Calculate the global average temperature of all temperature acquisition nodes, and then calculate the average temperature according to the following criteria: Calculate the average deviation value of the i-th temperature acquisition node. A value greater than zero indicates that the temperature of that node is higher than the average surface temperature of the equipment. A value less than zero indicates that the temperature of that node is lower than the average surface temperature of the equipment. Meanwhile, according to... The system calculates the degree to which the node deviates from the global average temperature. It combines the maximum temperature difference on the equipment surface, the directed temperature difference between adjacent nodes, the absolute value of the temperature difference between adjacent nodes, the global average temperature, and the average deviation value of each node to form the equipment surface temperature distribution parameters at the k-th sampling time, and stores them continuously in the order of sampling time. Through this processing, the system can simultaneously reflect the overall temperature dispersion of the equipment surface, the direction of local temperature change along the tracing cable, and the degree of deviation of each temperature measurement location from the overall temperature level, providing accurate and quantifiable judgment criteria for subsequent anomaly area location.

[0025] The abnormal area is located using the surface temperature distribution parameters of the equipment, and an abnormal identification area is established.

[0026] In one embodiment, the surface temperature distribution parameters of each temperature acquisition node at the current moment are used as the analysis object. The overall temperature baseline of the equipment surface is calculated, and the degree of deviation of each node relative to this baseline is determined. Subsequently, according to the arrangement of each node along the direction of the tracing cable, the temperature changes between adjacent nodes are continuously compared, and node locations with sudden temperature increases, decreases, or continuous deviations from the overall temperature level are selected as initial nodes for anomaly region location. Then, with the initial node as the center, adjacent temperature acquisition nodes are expanded and analyzed along the front and back directions of the tracing cable. When adjacent nodes are spatially continuous and their temperature deviation directions and trends are consistent, the corresponding nodes are merged into the same candidate region; when the temperature of adjacent nodes returns to the normal fluctuation range, or the temperature deviation direction changes significantly, the region expansion stops. Then, combining the average temperature deviation within the candidate region and the internal temperature difference, the candidate region is evaluated for validity, and continuous regions that meet the anomaly determination criteria are identified as anomaly marker regions. Simultaneously, their start and end nodes, corresponding tracing cable segments, and anomaly degree are recorded. This avoids misjudging occasional fluctuations at a single temperature measurement point as equipment anomalies and improves the accuracy of locating localized low temperatures, localized overheating, and abnormal temperature gradients.

[0027] Furthermore, using the surface temperature distribution parameters of the device to perform abnormal area localization includes:

[0028] The global average temperature is calculated based on the temperature values ​​of each temperature acquisition node, and the temperature deviation of each temperature acquisition node relative to the global average temperature is calculated. The temperature difference between adjacent temperature acquisition nodes is compared with a preset difference threshold, and node pairs whose temperature difference exceeds the preset difference threshold are marked as gradient abnormal node pairs. Based on the temperature acquisition nodes in the gradient abnormal node pairs, clustering expansion is performed to divide the set of temperature acquisition nodes that are spatially continuous and have the same sign of temperature deviation value into candidate abnormal regions. The average value and maximum temperature difference of the temperature deviation value in the candidate abnormal region are calculated and compared with a preset region judgment threshold. When the average value of the temperature deviation value in the candidate abnormal region exceeds the first threshold and the maximum temperature difference exceeds the second threshold, the corresponding candidate abnormal region is determined as an abnormal identification region.

[0029] Preferably, the smoothed temperature sequence formed at the k-th sampling time is used as the basic data for anomaly region localization, and the system follows... Calculate the global average temperature of all temperature acquisition nodes at the k-th sampling time, and then... Calculate the temperature deviation of each temperature acquisition node relative to the global temperature mean. Then, calculate the temperature difference between adjacent temperature acquisition nodes in ascending order of node number. It then compares the absolute value of the temperature difference between adjacent values ​​with a preset difference threshold. For example, this preset difference threshold can be set to 2°C. At that time, the node With nodes The resulting node pairs are labeled as gradient anomaly node pairs. For each gradient anomaly node pair, the absolute values ​​of the temperature deviations of the two nodes are compared, and the node with the larger absolute value is determined as the starting node for cluster expansion. The sign of the temperature deviation value of the starting node is determined as the target deviation sign. Then, starting from the starting node, the previous node is checked sequentially in the direction of decreasing node number, and the next node is checked sequentially in the direction of increasing node number. When the checked node is spatially adjacent to a currently included node and its temperature deviation value matches the target deviation sign, the node is added to the current node set. When the sign of the checked node's temperature deviation value changes, the expansion in the corresponding direction stops. After completing the cluster expansion of all gradient anomaly node pairs, if different node sets contain the same node, or if two node sets are spatially adjacent and their corresponding temperature deviation value signs are consistent, the corresponding node sets are merged, thus dividing the spatially continuous temperature acquisition nodes with consistent temperature deviation value signs into a candidate anomaly region. For nodes... To node The candidate anomaly region is formed, and the number of nodes in the region is . The system follows Calculate the average temperature deviation within the region, and take... As a measure of the regional average deviation, and simultaneously, according to Calculate the maximum temperature difference within the candidate anomaly region. Then, obtain a pre-set first threshold and a second threshold. For example, the first threshold can be set to 2℃, and the second threshold can be set to 3℃. The average deviation of the candidate anomaly region is then considered. Greater than the first threshold, and the maximum temperature difference in the region. If the value exceeds the second threshold, the candidate anomaly region is identified as an anomaly marker region, and the starting node of the anomaly region is recorded. End node Starting position End position The criteria for identifying abnormal areas include the direction of temperature deviation, the average temperature deviation of the area, and the maximum temperature difference of the area. If any of these criteria fails to meet the corresponding threshold, the candidate abnormal area will not be marked as abnormal. Through this process, isolated temperature change points can be aggregated into high-temperature or low-temperature abnormal areas with clearly defined spatial ranges, improving the accuracy of identifying the location and impact range of abnormalities on equipment surfaces.

[0030] Furthermore, boundary correction processing is performed on the anomaly identification area to include edge nodes adjacent to the anomaly identification area and whose temperature deviation values ​​show a continuous changing trend into the anomaly identification area, so as to form a spatially continuous distribution of anomaly areas.

[0031] Optionally, the abnormal identification area obtained after preliminary location is assumed to be composed of continuous temperature acquisition nodes. to The composition, and the corresponding position coordinates are to The temperature deviation value of each node at the k-th sampling time is The system first calculates the regional average deviation value of the anomaly-identified areas, and then... The positive or negative sign of the value determines the deviation direction of the anomaly identification area. Subsequently, boundary correction is performed outwards from the left and right boundaries of the anomaly identification area. For the left boundary, the starting node is selected... Directly adjacent outer nodes ,according to Calculate the gradient of the deviation change from the outer node to the boundary node, and follow the... Calculate the gradient of the deviation change from the boundary node to the adjacent node within the region. When Deviation from the regional average The symbols are the same. and The signs are the same, and they satisfy... When, it indicates the node The temperature deviation increases continuously along the direction within the abnormal region, without any reversal of the deviation direction or abrupt gradient changes. Therefore, the node... Include it in the anomaly flag area and update the left boundary to a node. After the update, continue selecting adjacent nodes outside the new left boundary and judging them in the same way until the temperature deviation value of the adjacent node is inconsistent with the deviation direction of the region, the adjacent gradient directions are inconsistent, or the absolute value of the outer gradient is greater than the absolute value of the inner gradient. Then stop the leftward expansion. For the right boundary, select the outer node directly adjacent to the end node, correct it in the same way, and continue to perform the same judgment node by node to the right until any judgment condition is not met. After completing the correction of both boundaries, redetermine the spatial range of the anomaly identification area based on the updated starting node, ending node, and corresponding position coordinates, and recalculate the average deviation value and maximum temperature difference of the region. Through the above processing, edge nodes within the abnormal temperature transition zone but not initially covered by the location can be included in the anomaly identification area, making the boundary of the anomaly area match the actual continuous temperature change range of the equipment surface, improving the completeness and accuracy of anomaly impact range identification.

[0032] Perform anomaly backtracking analysis on the anomaly-marked areas and establish the anomaly backtracking analysis results.

[0033] In one embodiment, after identifying the abnormality zone, based on the correspondence between the zone and the heating cable, the section of the heating cable responsible for heating that zone is selected as the detection target. Under the condition that the equipment's safe temperature and the rated power of the heating cable are not exceeded, a short-term power adjustment command is applied to this section of the heating cable, causing its output power to change from the current power to the detection power within a set time. Before and during the power adjustment, the temperature values ​​of each temperature acquisition node within the abnormality zone are continuously read according to a preset sampling period. The temperature data is correlated with the corresponding sampling time and power output status to form a response data sequence reflecting temperature changes over time. The response data sequence is then smoothed and its trend analyzed to obtain the temperature response curve of the abnormal zone after being subjected to power excitation. Subsequently, based on the temperature response curve, the time point at which the temperature in the area begins to rise significantly after the heating cable power changes is determined, and the rate of temperature rise and the amount of temperature change within the set time are analyzed, thereby obtaining characteristic parameters that characterize the heating response capability of the area. Then, the above characteristic parameters are compared with reference response characteristics formed under the same environmental conditions or normal operating conditions to determine whether the abnormal zone has a slow response, insufficient heating capacity, or abnormal heat transfer. Finally, the identified anomaly mechanisms, anomaly severity, corresponding heat tracing sections, and main temperature response characteristics are correlated and recorded to form anomaly backtracking analysis results, thereby providing a basis for subsequent selection of adjustment measures such as power compensation, output limiting, or fault alarms.

[0034] Furthermore, anomaly backtracking analysis is performed on the anomaly-marked areas, and the anomaly backtracking analysis results are established, including:

[0035] A power disturbance of a preset amplitude is applied to the heat tracing section corresponding to the anomaly-identified area, causing a jump in the power supply of the corresponding heat tracing section within a set time period. Temperature response data of each temperature acquisition node in the anomaly-identified area during the power disturbance process are collected synchronously to construct a temperature response curve. Temperature response characteristic parameters are extracted from the temperature response curve, including at least the temperature rise start delay time, temperature rise slope, and temperature response amplitude. An anomaly mechanism backtracking analysis of the anomaly-identified area is performed based on the comparison relationship between the temperature response characteristic parameters and the preset reference response characteristics to establish an anomaly backtracking analysis result.

[0036] Preferably, the heat tracing section is read first before performing power disturbance. Current output power Rated power And the current smoothed temperature of each node within the region. When When the highest temperature in the area is lower than the preset safe temperature limit, power disturbance is allowed. In this case, the system will continuously collect temperature data for a preset time period, such as 30 seconds, before the power disturbance begins, and determine the smoothed average temperature of the j-th temperature collection node within this preset time period as the reference temperature before the disturbance. ,in, For preset amplitude, This represents the amplitude ratio. After completing the reference temperature calculation, at the start of the disturbance... The output power of the heat tracing section is changed from Leap to increase to and maintain the output power at a set time period. The entire power transition process is achieved by increasing the duty cycle of the solid-state relay. During the power disturbance, the smoothed temperature of each temperature acquisition node within the abnormal identification area is synchronously read at a preset sampling period to obtain the temperature of the j-th node after the disturbance begins. Temperature in seconds and in accordance with Calculate the temperature rise response of this node relative to the pre-disturbance reference temperature. Then, at each sampling time... Corresponding temperature rise response value An ordered set of data points is formed, thereby constructing the temperature response curve for each temperature acquisition node. For the j-th node, when the temperature rise response value... When the preset temperature is first reached and remains above the preset temperature for multiple consecutive sampling periods, the time difference between this moment and the start of the disturbance is defined as the temperature rise initiation delay time. After determining the temperature rise onset delay time, take from... The initial continuous time length, such as 10 seconds, is used as the calculation interval for the temperature rise slope, and is calculated according to... Calculate the temperature rise slope, and then determine the temperature rise response value at the end of the power disturbance as the temperature response amplitude. When a node fails to reach the preset temperature rise threshold within a set time period, it is marked as a node with no effective temperature rise response, and its temperature rise slope is recorded as 0. Then, the arithmetic mean of the temperature rise initiation delay time, temperature rise slope, and temperature response amplitude of all effective nodes within the anomaly identification area is taken to obtain the area's temperature rise initiation delay time. The temperature response characteristic parameters are composed of the regional temperature rise slope S and the regional temperature response amplitude A. After the power disturbance ends, the obtained temperature response characteristic parameters are compared with the preset reference response characteristics. Based on the comparison results and the temperature coupling change relationship between the anomaly-marked area and adjacent areas, combined judgment conditions are constructed to determine the source of the anomaly in the anomaly-marked area, thereby realizing the backtracking of the anomaly mechanism in the anomaly-marked area and establishing the anomaly backtracking analysis results. Through the above processing, the anomaly formation mechanism can be traced according to the actual dynamic temperature response of the anomaly area to the power jump, providing a reliable basis for subsequent reconstruction of the continuous regulation strategy of the heat tracing cable for different anomaly causes.

[0037] Furthermore, based on the comparison between temperature response characteristic parameters and preset reference response characteristics, an anomaly mechanism backtracking analysis is performed on the anomaly identification area, including:

[0038] The temperature response characteristic parameters are compared with the preset reference response characteristics to obtain a difference comparison result, which includes temperature rise onset delay deviation, temperature rise slope deviation, and temperature response amplitude deviation. Based on the difference comparison result and the temperature coupling change relationship between the anomaly identification area and adjacent areas, a combined judgment condition is constructed. The combined judgment condition is used to classify and determine the anomaly source of the anomaly identification area. The anomaly source includes at least: when the temperature rise slope deviation is negative and the temperature response amplitude deviation is negative, it is determined that the output capacity of the heating cable is abnormal; when the temperature response amplitude deviation is negative and... When the temperature in the abnormal area is consistently lower than that of the adjacent area and forms a reverse temperature gradient, it is determined to be a local cold source intrusion anomaly; when the absolute value of the temperature response amplitude deviation is less than or equal to the preset amplitude deviation threshold and the cooling rate of the abnormal area increases relative to the preset reference response characteristic during the heating stop or steady state phase, it is determined to be a local heat dissipation anomaly of the tank; when the temperature rise start delay deviation is positive and the temperature response deviation of the abnormal area and the adjacent area shows an inconsistent trend, it is determined to be a heat transfer path anomaly; when the temperature rise start delay deviation is positive and does not meet the heat transfer path anomaly determination condition, it is determined to be a heating response hysteresis anomaly.

[0039] Optionally, the temperature rise onset delay time, temperature rise slope, and temperature response amplitude of the abnormal identification area can be read from the temperature response curve of the abnormal identification area, and the reference temperature rise onset delay time of the same heat tracing heat line section under the conditions of the same power disturbance amplitude, the same disturbance duration, and the ambient temperature difference not exceeding the preset ambient temperature difference can be read from the normal operation reference database. Reference temperature rise slope and reference temperature response amplitude The system establishes a normal operation reference database for each heat tracing section. For any heat tracing section, if the power supply, temperature acquisition, and equipment operation of the heat tracing section are confirmed to be normal, and no abnormal identification area is formed within a preset stable time, the corresponding operating state is confirmed as normal. Under normal conditions, a specified power disturbance is applied to the heat tracing section, the temperature response curve is collected, and the temperature rise onset delay time, temperature rise slope, and temperature response amplitude are extracted. These are stored as normal reference samples for that heat tracing section in the normal operation reference database. New operating samples confirmed under the same normal conditions can be used to update the normal reference samples for the corresponding heat tracing section. The system is configured according to... , and The temperature rise onset delay deviation, temperature rise slope deviation, and temperature response amplitude deviation are calculated to form differentiated comparison results. Specifically, thresholds for positive deviation of temperature rise onset delay, negative deviation of temperature rise slope, negative deviation of temperature response amplitude, and a preset amplitude deviation threshold are set. The positive deviation threshold for temperature rise onset delay is greater than zero, while the negative deviation thresholds for temperature rise slope and temperature response amplitude are less than zero. The preset amplitude deviation threshold is greater than zero, and the negative deviation range of temperature response amplitude is distinguished from the near-zero deviation range of temperature response amplitude. These thresholds are calibrated based on temperature response data obtained from the corresponding equipment under normal and confirmed abnormal conditions, and their applicable scope is consistent with the equipment type, heating cable specifications, and operating conditions corresponding to the establishment of the normal reference sample. The threshold for judging a positive deviation in the temperature rise onset delay is defined as follows: the temperature rise onset delay deviation is positive. The threshold for judging negative deviation of temperature rise slope is defined as a temperature rise slope deviation that is negative. The threshold for judging negative deviation of temperature response amplitude is defined as a negative deviation of temperature response amplitude. The preset amplitude deviation threshold is defined as the temperature response amplitude deviation being within the allowable range. Subsequently, the temperature acquisition nodes directly adjacent to the anomaly marker area on both sides are selected as adjacent areas, and the average temperature response curves for each anomaly marker area are calculated. Average temperature response curves of adjacent regions Then according to and Calculate the temperature response increments for the two regions during each sampling period, and then calculate the temperature response increment sequence. and correlation coefficient This correlation coefficient can be measured using the Pearson correlation coefficient, and... The first relevant threshold indicates that the temperature response deviation between the anomaly identification area and its adjacent areas shows an inconsistent trend. The second correlation threshold is determined to be the normal temperature coupling relationship between the two regions. The first correlation threshold is less than the second correlation threshold, and both are within the range of the Pearson correlation coefficient. The first and second correlation thresholds are calibrated based on normal temperature coupling samples and confirmed temperature response mismatch samples, and are kept fixed within the same equipment and corresponding operating conditions to avoid temporarily changing the thresholds based on the current data to be classified.

[0040] For abnormal output capacity of the heat tracing cable, when ≤ Threshold for negative deviation of temperature rise slope ≤Temperature response amplitude negative deviation judgment threshold When the temperature is ≤ the second relevant threshold, and no temperature distribution gradually decreasing from adjacent areas to the interior of the abnormal area is formed within the anomaly identification region, it indicates that a power disturbance has been applied, but the temperature rise rate and final temperature rise in the abnormal section are significantly lower than the normal reference level. Therefore, the source of the anomaly is determined to be an abnormality in the output capacity of the heat tracing cable. For local cold source intrusion anomalies, when If the average temperature of the anomaly-marked area is lower than the average temperature of the adjacent areas for a continuous period of time, and the temperature decreases sequentially from the boundary node of the adjacent areas to the interior of the anomaly-marked area for at least three consecutive nodes, then the spatial temperature distribution is determined to be a reverse temperature gradient, and the source of the anomaly is determined to be a local cold source intrusion anomaly. For local heat dissipation anomalies in the tank, temperature data is continuously collected over a period of time after the power disturbance is stopped, the cooling rate of the anomaly-marked area is calculated, and its increase relative to the reference cooling rate is calculated. ,when ≤Preset amplitude deviation threshold and When the temperature rise is greater than or equal to the positive deviation threshold for cooling rate, it indicates that the abnormal area can achieve a temperature rise that is basically the same as the normal state during the heating phase, but the heat loss rate increases significantly after heating stops. Therefore, the source of the anomaly is determined to be an abnormal local heat dissipation of the tank. For abnormal heat transfer paths, when... ≥ Temperature rise onset delay positive deviation judgment threshold and When the temperature exceeds the first relevant threshold, it indicates that the heating start-up time of the anomaly-identified area is significantly delayed, and its dynamic temperature changes cannot be synchronized with adjacent areas. Therefore, the source of the anomaly is determined to be an abnormal heat transfer path. For heating response hysteresis anomalies, when... ≥Temperature rise onset delay positive deviation judgment threshold If the first relevant threshold is not met, and the criteria for abnormal heating cable output capacity, abnormal local cold source intrusion, abnormal local heat dissipation of the tank, and abnormal heat transfer path are not satisfied, the source of the anomaly is determined to be a heating response hysteresis anomaly. After completing the classification, the anomaly identification area number, the deviation values ​​of the three response characteristics, the correlation coefficient of the temperature response increment, the judgment result of the reverse temperature gradient, the cooling rate deviation, and the final anomaly source type are associated and stored to form an anomaly backtracking analysis result. This further distinguishes the surface temperature anomaly into problems with the heating cable's own output, the effect of external cold sources, enhanced local heat dissipation, obstructed heat transfer, and simple heating hysteresis, providing a basis for subsequently adopting corresponding heating cable power adjustment strategies.

[0041] Furthermore, the power disturbance of the preset amplitude is adaptively configured according to the degree of temperature deviation in the abnormal identification area.

[0042] Optionally, the power disturbance amplitude of the corresponding heat tracing cable section can be adaptively determined based on the degree to which each temperature acquisition node in the anomaly identification area deviates from the global temperature average. Specifically, the absolute value of the temperature deviation of each temperature acquisition node in the anomaly identification area is first obtained, and the average of all absolute temperature deviation values ​​is taken to obtain the regional temperature deviation degree of the anomaly identification area. A first temperature deviation threshold and a second temperature deviation threshold are preset. When the regional temperature deviation degree is ≤2℃, the amplitude ratio of the power disturbance is set to 5%; when 2℃ is less than the regional temperature deviation degree is ≤5℃, the amplitude ratio of the power disturbance is set to 10%; when the regional temperature deviation degree is >5℃, the amplitude ratio of the power disturbance is set to 15%. Through the above processing, a smaller power disturbance can be used when the temperature deviation is small, reducing unnecessary temperature fluctuations and additional energy consumption; when the temperature deviation is large, the power disturbance can be increased to improve the identifiability of temperature response characteristics, while ensuring that the disturbance process does not exceed the rated power of the heat tracing cable and the safe temperature limit of the equipment.

[0043] The continuous regulation strategy of the tracing heat line is reconstructed based on the results of the anomaly backtracking analysis and real-time temperature data, and the continuous regulation control of the tracing heat line is executed based on the continuous regulation strategy.

[0044] In one embodiment, when the anomaly backtracking analysis result is determined to be a local cold source intrusion anomaly, based on the spatial temperature gradient distribution relationship between the anomaly-identified area and adjacent areas, the temperature values ​​of each temperature acquisition node within the anomaly-identified area are sequentially sorted according to the direction of the heating cable deployment, and the temperature difference between adjacent temperature acquisition nodes is calculated sequentially to form a temperature difference sequence. Subsequently, according to the preset node sorting direction, continuously negative difference segments are selected from the temperature difference sequence, and these difference segments are identified as reverse temperature gradient segments to characterize the area where the tank surface temperature continuously decreases along the direction of local cold source influence. Then, the adjacent temperature differences within the reverse temperature gradient segment are accumulated to obtain the cumulative temperature drop corresponding to each location. The location where the cumulative temperature drop reaches its maximum value is then identified as the cold source intrusion initiation point. Using this cold source intrusion initiation point as a reference, continuous negative difference nodes are extended along the temperature difference direction. When the temperature difference between adjacent nodes returns to the normal range, or the direction of temperature change changes, the extension stops, thereby determining the cold source intrusion path interval. Next, based on the spatial correspondence between the cold source intrusion path interval and the tracing heat line, the tracing heat line corresponding to this path interval is divided into multiple interconnected continuous control sub-segments. The path distance from each continuous control sub-segment to the cold source intrusion starting point is calculated, and a distance mapping relationship between the path distance and the control position of the tracing heat line is established according to the arrangement of each sub-segment. Based on this distance mapping relationship, a corresponding power compensation coefficient is configured for each continuous control sub-segment. As the path distance increases, the power compensation coefficient gradually decreases along the cold source intrusion path direction according to a preset nonlinear relationship. The compensation power corresponding to each power compensation coefficient is superimposed on the original regulation power of each continuous control sub-segment, forming a spatially continuously varying power distribution along the tracing heat line deployment direction. Finally, the spatially continuously varying power distribution is used as the output of the reconstructed continuous regulation strategy, and the power compensation coefficient of each continuous control sub-segment is dynamically corrected based on the real-time temperature data and temperature difference sequence changes of the anomaly identification area. When the cumulative temperature drop decreases or the reverse temperature gradient segment shortens, the power compensation of the corresponding sub-segment is gradually reduced; when the cold source intrusion path interval expands, the power compensation range is expanded accordingly. This allows the power compensation intensity of the heat tracing cable to match the temperature gradient and path distance along the cold source intrusion path, improving the temperature distribution in local low-temperature areas while avoiding overheating of non-abnormal sections.

[0045] Furthermore, when the anomaly backtracking analysis results are determined to be a local cold source intrusion anomaly, the continuous adjustment strategy for the heat tracing cable is reconstructed based on the spatial temperature gradient distribution relationship between the anomaly-identified area and adjacent areas, including:

[0046] The temperature values ​​of each temperature acquisition node within the anomaly identification area are sequentially sorted according to the direction of the heating cable deployment. The temperature difference sequence between adjacent temperature acquisition nodes is calculated, and the continuously negative difference segments are determined as reverse temperature gradient segments based on the temperature difference sequence. The cumulative temperature drop is calculated for the reverse temperature gradient segments, and the position with the largest cumulative temperature drop is taken as the starting point of cold source intrusion. The cold source intrusion path interval is located by extending along the temperature difference direction. The heating cable corresponding to the cold source intrusion path interval is divided into multiple continuous control sub-segments, and a distance mapping relationship is constructed based on the path distance from each continuous control sub-segment to the starting point of cold source intrusion. The power compensation coefficient of each continuous control sub-segment is calculated based on the distance mapping relationship, so that the power compensation coefficient has a non-linear decreasing distribution along the cold source intrusion path direction. The power compensation coefficient is superimposed on the original regulation power to form a spatially continuously changing power distribution or a segmented smoothly transitioning power distribution. The spatially continuously changing power distribution or the segmented smoothly transitioning power distribution is output as a continuous regulation strategy.

[0047] Optionally, after the anomaly backtracking analysis determines that the anomaly source is a local cold source intrusion anomaly, the smoothed temperature values ​​of each temperature acquisition node within the anomaly identification area at the current sampling time are read, and the nodes are arranged sequentially according to the deployment direction from the power supply end to the end of the heat tracing cable. , ... The corresponding position coordinates are as follows: , ... The system sequentially calculates the temperature difference between adjacent temperature acquisition nodes and forms a temperature difference sequence according to the node positions. When two or more consecutive temperature difference values ​​are less than zero, it indicates that the surface temperature of the tank is continuously decreasing along the direction of the heat tracing cable. At this time, the corresponding consecutive node interval is marked as a reverse temperature gradient segment. For each reverse temperature gradient segment, starting from the first node of the segment, the absolute values ​​of the negative temperature difference values ​​are accumulated sequentially to obtain the cumulative temperature drop corresponding to each node position. The node with the maximum cumulative temperature drop is determined as the starting point of cold source intrusion. When there are multiple reverse temperature gradient segments, the segment with the largest cumulative temperature drop is selected as the target reverse temperature gradient segment. Subsequently, the system traces back from the starting point of cold source intrusion along the spatial direction corresponding to the consecutive negative temperature difference values. The node where the first negative temperature difference value appears is taken as the first boundary of the cold source intrusion path, and the starting point of cold source intrusion is taken as the second boundary, thus determining the cold source intrusion path interval. When the temperature difference value outside the path boundary is no longer negative, the path extension stops. Subsequently, the heating cable between two adjacent temperature acquisition nodes is considered as a continuous control sub-segment. The cold source intrusion path interval is divided into multiple sequentially adjacent control sub-segments, with the midpoint of each control sub-segment serving as the power configuration location. The system calculates the path distance from the midpoint of each control sub-segment to the cold source intrusion starting point along the actual laying path of the heating cable. The path distance of the control sub-segment corresponding to the cold source intrusion starting point is set to zero, and the path distances of the remaining control sub-segments are accumulated segment by segment according to the actual laying length between adjacent nodes. This establishes a distance mapping relationship between the control sub-segment number, spatial location, and path distance. Next, the maximum power compensation ratio at the cold source intrusion starting point is determined based on the maximum cumulative temperature drop in the target reverse temperature gradient segment. For example, the maximum power compensation ratio can be determined by increasing the cumulative temperature drop by 5% for every 1°C increase, and limited to between 10% and 30%. Then, the distance mapping relationship is applied... Calculate the power compensation coefficient for the j-th continuous control sub-segment, where, This represents the maximum power compensation ratio at the starting point of the cold source intrusion. Let be the path distance from the j-th control sub-segment to the cold source intrusion starting point, and D be the total length of the cold source intrusion path interval. Starting from the cold source intrusion starting point, the system configures power compensation coefficients segment by segment along the cold source intrusion path, ensuring that control sub-segments closer to the starting point receive greater power compensation and those farther away receive smaller power compensation. Simultaneously, the power compensation ratio difference between adjacent control sub-segments is limited to within 5%. When the calculated difference exceeds this limit, the compensation ratio of the control sub-segment furthest from the cold source intrusion starting point is corrected to the previous control sub-segment's compensation ratio minus 5%, to prevent sudden power changes between adjacent segments. When each continuous control sub-segment can independently adjust its output power according to the calculated power compensation coefficient, the power compensation amount of each sub-segment changes continuously with the path distance, thus forming a spatially continuous power distribution. When the actual power supply structure of the heat tracing cable adopts independent zone control, and a uniform output power is used within the same control sub-segment, the power compensation ratio difference between adjacent control sub-segments is limited, and the target output power of each sub-segment decreases segment by segment along the cold source intrusion path, so that there are no abrupt and large power changes between adjacent control sub-segments, thus forming a segmented and smoothly transitioning power distribution. The system adds the power compensation ratio of each control sub-segment to the original temperature regulation power of that control sub-segment, and limits the added output power to within the rated power of the corresponding heat tracing cable. Within the control cycle, the duty cycle of each solid-state relay is adjusted according to the superimposed target power to maximize the heat tracing power near the cold source intrusion initiation point and decrease non-linearly along the cold source intrusion path. This results in a spatially continuously varying power distribution or a segmented, smoothly transitioning power distribution, depending on the actual control method of each control sub-section. The resulting power distribution is then output as the continuous adjustment strategy for the corresponding heat tracing section. Every control cycle, the system rereads the temperature data and updates the compensation ratios for the reverse temperature gradient section, the cold source intrusion initiation point, the path interval, and each control sub-section. When the reverse temperature gradient disappears for several consecutive detection cycles, the power compensation is gradually withdrawn at a rate of 5% per control cycle until the original regulated power is restored. Through this process, the heat tracing power can be directionally allocated based on the location, influence path, and temperature drop of the local cold source intrusion, avoiding a uniform increase in power across the entire heat tracing line and forming a continuously adjustable power distribution that smoothly changes along the tank surface.

[0048] Furthermore, a leakage warning signal for the heated equipment is configured based on the criticality of the location of the cold source intrusion initiation point and the cumulative temperature drop value, and a leakage warning is issued based on the leakage warning signal.

[0049] Optionally, after the anomaly backtracking analysis determines that the source of the anomaly is a local cold source intrusion, the system reads the location coordinates of the cold source intrusion initiation point, the cold source intrusion path interval, and the corresponding cumulative temperature drop value. It then calls a pre-stored location model of the heated equipment, which records the location coordinates of flange sealing connections, valve connections, tank pipe roots, and tank wall welded connections. These locations are uniformly designated as leakage-sensitive locations. The system calculates the shortest path distance between the cold source intrusion initiation point and the nearest leakage-sensitive location along the actual deployment path of the heating cable. When the shortest path distance is not greater than the first distance (e.g., not greater than 0.2m), the location criticality coefficient of the cold source intrusion initiation point is set to 1.5; when the shortest path distance is greater than the first distance but not greater than the second distance (e.g., 0.5m), the location criticality coefficient is set to 1.2; and when the shortest path distance is greater than the second distance, the location criticality coefficient is set to 1.0. Subsequently, the absolute values ​​of each negative temperature difference within the target reverse temperature gradient segment are summed sequentially, and the maximum sum is taken as the cumulative temperature drop value Q of the current cold source intrusion path, and then... Calculate the leakage risk characterization value, where, This is the location criticality coefficient of the cold source intrusion initiation point. Therefore, when the cold source intrusion initiation point is close to a flange, valve, pipe root, or welded connection, the leakage risk characterization value corresponding to the same cumulative temperature drop is higher. When the cold source intrusion initiation point is far from a leakage-sensitive location, its location weight is reduced. Then, the leakage risk characterization value is compared with the leakage warning judgment threshold. When the leakage risk characterization value reaches or exceeds the leakage warning judgment threshold for multiple consecutive detection cycles, and the location movement distance of the cold source intrusion initiation point within multiple detection cycles does not exceed the distance between one temperature acquisition node, the cold source anomaly is confirmed to have a stable local source, a leakage warning signal is generated, and the leakage warning flag is set to 1. After generating the leakage warning signal, the yellow alarm light on site is continuously illuminated, and the buzzer is controlled to cycle on and off. Simultaneously, the monitoring interface displays suspected leakage information, and synchronously displays the heated equipment number, the node number corresponding to the cold source intrusion initiation point, the name of the nearest leakage-sensitive location, the cumulative temperature drop value, the location criticality coefficient, and the leakage risk characterization value. The warning occurrence time and related temperature data are also written to the abnormal event record. To prevent frequent activation and deactivation of warning signals due to short-term temperature fluctuations, once a leak warning has been issued, the leak warning flag will only be reset to 0 and the audible and visual alarms will stop when the leak risk indicator value remains below the leak warning cancellation threshold for several consecutive detection cycles, and the reverse temperature gradient segment disappears simultaneously. If the leak risk indicator value continues to meet the warning conditions, the leak warning signal will remain in effect until on-site personnel complete the inspection and confirm a reset. This process combines the location sensitivity of the cold source intrusion with the cumulative intensity of the temperature drop, avoiding the direct assumption of equipment leakage based solely on a single low-temperature point, and prioritizing warnings for abnormal situations near sealed connections where the temperature drop continues to increase.

[0050] In summary, the embodiments of this application have at least the following technical effects:

[0051] First, multiple temperature acquisition nodes are set up on the surface of the heated equipment along the direction of the heating cable, and real-time temperature data from each node is read. Then, based on the spatial relationship of each temperature acquisition node, surface temperature distribution parameters are calculated. These parameters include the difference between the maximum and minimum temperatures, the temperature difference between adjacent acquisition nodes, and the average deviation of each node. Next, abnormal area location is performed using these surface temperature distribution parameters, establishing abnormal identification areas. Then, anomaly backtracking analysis is conducted on these areas, and anomaly backtracking analysis results are established. Finally, the continuous adjustment strategy for the heating cable is reconstructed based on the anomaly backtracking analysis results and real-time temperature data, and continuous adjustment control of the heating cable is executed based on this strategy. This invention solves the technical problem of traditional heat tracing cable temperature control lacking the ability to accurately perceive and locate abnormalities in the uneven temperature distribution on the equipment surface, thus failing to achieve continuous adjustment based on spatial temperature field characteristics. It achieves continuous adjustment strategy of the heat tracing cable by performing spatial distribution analysis, abnormal area location and abnormal backtracking on multi-point temperature data on the equipment surface, and reconstructing the heat tracing cable based on real-time temperature data. This allows the heat tracing cable to adjust its power in a directional manner according to the temperature state of different areas on the equipment surface, thereby reducing the overheating effect caused by synchronously increasing the heating power in non-abnormal sections. The actual energy saving range and the degree of improvement in temperature uniformity are subject to the test results of specific equipment and operating conditions.

[0052] Example 2, based on the same inventive concept as the energy-saving continuous regulation and control method for heat tracing cable with tank temperature feedback in the previous examples, such as... Figure 3 As shown, this application provides an energy-saving continuous regulation and control system for tank temperature feedback heating cables, wherein the system includes:

[0053] Data reading module 11: Sets multiple temperature acquisition nodes along the laying direction of the heating cable on the surface of the heated equipment, and reads the real-time temperature data of each temperature acquisition node; Temperature distribution calculation module 12: Calculates the surface temperature distribution parameters of the equipment based on the spatial relationship of each temperature acquisition node. The surface temperature distribution parameters include the difference between the maximum and minimum temperatures, the temperature difference between adjacent acquisition nodes, and the average deviation of each temperature acquisition node; Anomaly location module 13: Uses the surface temperature distribution parameters of the equipment to locate abnormal areas and establish anomaly identification areas; Backtracking analysis module 14: Performs anomaly backtracking analysis on the anomaly identification areas and establishes anomaly backtracking analysis results; Adjustment and control module 15: Reconstructs the continuous adjustment strategy of the heating cable based on the anomaly backtracking analysis results and real-time temperature data, and performs continuous adjustment control of the heating cable based on the continuous adjustment strategy.

[0054] Furthermore, the data reading module 11 is used to perform the following method:

[0055] The real-time temperature data from the temperature acquisition nodes is smoothed over time, and the surface temperature distribution parameters of the equipment and abnormal areas are calculated based on the smoothed real-time temperature data.

[0056] Furthermore, the anomaly location module 13 is used to perform the following method:

[0057] The global average temperature is calculated based on the temperature values ​​of each temperature acquisition node, and the temperature deviation of each temperature acquisition node relative to the global average temperature is calculated. The temperature difference between adjacent temperature acquisition nodes is compared with a preset difference threshold, and node pairs whose temperature difference exceeds the preset difference threshold are marked as gradient abnormal node pairs. Based on the temperature acquisition nodes in the gradient abnormal node pairs, clustering expansion is performed to divide the set of temperature acquisition nodes that are spatially continuous and have the same sign of temperature deviation value into candidate abnormal regions. The average value and maximum temperature difference of the temperature deviation value in the candidate abnormal region are calculated and compared with a preset region judgment threshold. When the average value of the temperature deviation value in the candidate abnormal region exceeds the first threshold and the maximum temperature difference exceeds the second threshold, the corresponding candidate abnormal region is determined as an abnormal identification region.

[0058] Furthermore, the anomaly location module 13 is used to perform the following method:

[0059] Boundary correction processing is performed on the anomaly identification area to include edge nodes adjacent to the anomaly identification area and whose temperature deviation values ​​show a continuous trend into the anomaly identification area, so as to form a spatially continuous distribution of anomaly areas.

[0060] Furthermore, the backtracking analysis module 14 is used to perform the following methods:

[0061] A power disturbance of a preset amplitude is applied to the heat tracing section corresponding to the anomaly-identified area, causing a jump in the power supply of the corresponding heat tracing section within a set time period. Temperature response data of each temperature acquisition node in the anomaly-identified area during the power disturbance process are collected synchronously to construct a temperature response curve. Temperature response characteristic parameters are extracted from the temperature response curve, including at least the temperature rise start delay time, temperature rise slope, and temperature response amplitude. An anomaly mechanism backtracking analysis of the anomaly-identified area is performed based on the comparison relationship between the temperature response characteristic parameters and the preset reference response characteristics to establish an anomaly backtracking analysis result.

[0062] Furthermore, the backtracking analysis module 14 is used to perform the following methods:

[0063] The temperature response characteristic parameters are compared with the preset reference response characteristics to obtain a difference comparison result, which includes temperature rise onset delay deviation, temperature rise slope deviation, and temperature response amplitude deviation. Based on the difference comparison result and the temperature coupling change relationship between the anomaly identification area and adjacent areas, a combined judgment condition is constructed. The combined judgment condition is used to classify and determine the anomaly source of the anomaly identification area. The anomaly source includes at least: when the temperature rise slope deviation is negative and the temperature response amplitude deviation is negative, it is determined that the output capacity of the heating cable is abnormal; when the temperature response amplitude deviation is negative and... When the temperature in the abnormal area is consistently lower than that of the adjacent area and forms a reverse temperature gradient, it is determined to be a local cold source intrusion anomaly; when the absolute value of the temperature response amplitude deviation is less than or equal to the preset amplitude deviation threshold and the cooling rate of the abnormal area increases relative to the preset reference response characteristic during the heating stop or steady state phase, it is determined to be a local heat dissipation anomaly of the tank; when the temperature rise start delay deviation is positive and the temperature response deviation of the abnormal area and the adjacent area shows an inconsistent trend, it is determined to be a heat transfer path anomaly; when the temperature rise start delay deviation is positive and does not meet the heat transfer path anomaly determination condition, it is determined to be a heating response hysteresis anomaly.

[0064] Furthermore, the backtracking analysis module 14 is used to perform the following methods:

[0065] The preset amplitude power disturbance is adaptively configured according to the degree of temperature deviation in the abnormal identification area.

[0066] Furthermore, the adjustment control module 15 is used to perform the following methods:

[0067] The temperature values ​​of each temperature acquisition node within the anomaly identification area are sequentially sorted according to the direction of the heating cable deployment. The temperature difference sequence between adjacent temperature acquisition nodes is calculated, and the continuously negative difference segments are determined as reverse temperature gradient segments based on the temperature difference sequence. The cumulative temperature drop is calculated for the reverse temperature gradient segments, and the position with the largest cumulative temperature drop is taken as the starting point of cold source intrusion. The cold source intrusion path interval is located by extending along the temperature difference direction. The heating cable corresponding to the cold source intrusion path interval is divided into multiple continuous control sub-segments, and a distance mapping relationship is constructed based on the path distance from each continuous control sub-segment to the starting point of the cold source intrusion. The power compensation coefficient of each continuous control sub-segment is calculated based on the distance mapping relationship, so that the power compensation coefficient has a non-linear decreasing distribution along the cold source intrusion path direction. The power compensation coefficient is superimposed on the original regulation power to form a spatially continuously changing power distribution or a segmented smooth transition power distribution. The spatially continuously changing power distribution is output as a continuous regulation strategy.

[0068] Furthermore, the adjustment control module 15 is used to perform the following methods:

[0069] Configure a leakage warning signal for the heated equipment based on the criticality of the location of the cold source intrusion initiation point and the cumulative temperature drop value, and issue a leakage warning based on the leakage warning signal.

[0070] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An energy-saving continuous regulation and control method for tank temperature feedback heating tape, characterized in that, The method includes: Multiple temperature acquisition nodes are set on the surface of the heated equipment along the direction of the heat tracing cable, and the real-time temperature data of each temperature acquisition node is read. The surface temperature distribution parameters of the equipment are calculated based on the spatial relationship of each temperature acquisition node. The surface temperature distribution parameters of the equipment include the difference between the maximum and minimum temperatures, the temperature difference between adjacent acquisition nodes, and the average deviation of each temperature acquisition node. The abnormal area is located using the surface temperature distribution parameters of the equipment, and an abnormal identification area is established. Perform anomaly backtracking analysis on the anomaly-identified areas and establish the anomaly backtracking analysis results; The continuous regulation strategy of the tracing heat line is reconstructed based on the results of the anomaly backtracking analysis and real-time temperature data, and the continuous regulation control of the tracing heat line is executed based on the continuous regulation strategy.

2. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 1, characterized in that, Perform anomaly backtracking analysis on the anomaly-identified areas and establish the anomaly backtracking analysis results, including: Apply a preset amplitude power disturbance to the heat tracing section corresponding to the abnormal area, causing the power supply of the corresponding heat tracing section to change abruptly within a set time period; Simultaneously collect temperature response data from each temperature acquisition node within the anomaly identification area during the power disturbance process, and construct a temperature response curve; Temperature response characteristic parameters are extracted from the temperature response curve. The temperature response characteristic parameters include at least the temperature rise onset delay time, the temperature rise slope, and the temperature response amplitude. Based on the comparison between temperature response characteristic parameters and preset reference response characteristics, anomaly mechanism backtracking analysis is performed on the anomaly identification area to establish anomaly backtracking analysis results.

3. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 2, characterized in that, An anomaly mechanism backtracking analysis is performed on the anomaly-identified region based on the comparison between temperature response characteristic parameters and preset reference response characteristics, including: The temperature response characteristic parameters are compared with the preset reference response characteristics to obtain the difference comparison results, which include temperature rise onset delay deviation, temperature rise slope deviation, and temperature response amplitude deviation. Based on the differential comparison results and the temperature coupling change relationship between the anomaly-marked area and adjacent areas, a combined judgment condition is constructed. This combined judgment condition is used to classify and determine the anomaly sources in the anomaly-marked area. The anomaly sources include at least: When the temperature rise slope deviation is negative and the temperature response amplitude deviation is negative, it is determined that the output capacity of the heat tracing cable is abnormal. When the temperature response amplitude deviation is negative and the temperature in the abnormal area is consistently lower than that in the adjacent area and forms a reverse temperature gradient, it is determined to be an abnormality of local cold source intrusion. When the absolute value of the temperature response amplitude deviation is less than or equal to the preset amplitude deviation threshold and the cooling rate of the abnormal identification area increases relative to the preset reference response characteristic during the heating stop or steady state phase, it is determined to be an abnormal local heat dissipation of the tank. When the temperature rise start delay deviation is positive and the temperature response deviation between the abnormal area and the adjacent area shows an inconsistent trend, it is determined that the heat transfer path is abnormal. When the temperature rise start delay deviation is positive and does not meet the criteria for judging abnormal heat transfer path, it is judged as an abnormal heating response hysteresis.

4. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 3, characterized in that, When the anomaly backtracking analysis results are determined to be a local cold source intrusion anomaly, the continuous adjustment strategy for the heat tracing cable is reconstructed based on the spatial temperature gradient distribution relationship between the anomaly-identified area and adjacent areas, including: The temperature values ​​of each temperature acquisition node in the abnormal identification area are sequentially sorted according to the direction of the heat tracing cable. The temperature difference sequence between adjacent temperature acquisition nodes is calculated. Based on the temperature difference sequence, the difference segment with continuous negative values ​​is determined as the reverse temperature gradient segment. The cumulative temperature drop is calculated for the reverse temperature gradient section, and the position with the largest cumulative temperature drop is taken as the starting point of cold source intrusion. The cold source intrusion path section is then extended along the temperature difference direction. The tracing heat pipes corresponding to the cold source intrusion path interval are divided into multiple continuous control sub-segments, and a distance mapping relationship is constructed based on the path distance from each continuous control sub-segment to the cold source intrusion starting point. Based on the distance mapping relationship, the power compensation coefficient of each continuous control sub-segment is calculated so that the power compensation coefficient is distributed in a non-linear decreasing manner along the cold source intrusion path, and the power compensation coefficient is superimposed on the original regulation power to form a power distribution that is spatially continuously changing or a power distribution with segmented smooth transition. The output is a power distribution that varies continuously in space or a power distribution that transitions smoothly in segments, which is used as a continuous adjustment strategy.

5. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 4, characterized in that, Configure a leakage warning signal for the heated equipment based on the criticality of the location of the cold source intrusion initiation point and the cumulative temperature drop value, and issue a leakage warning based on the leakage warning signal.

6. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 2, characterized in that, The preset amplitude power disturbance is adaptively configured according to the degree of temperature deviation in the abnormal identification area.

7. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 1, characterized in that, Using the surface temperature distribution parameters of the device to locate abnormal areas includes: The global average temperature is calculated based on the temperature values ​​of each temperature acquisition node, and the temperature deviation of each temperature acquisition node relative to the global average temperature is calculated respectively. The temperature difference between adjacent temperature acquisition nodes is compared with a preset difference threshold, and node pairs whose temperature difference exceeds the preset difference threshold are marked as gradient abnormal node pairs. Based on the temperature acquisition nodes in the gradient anomaly node pair, clustering expansion is performed to divide the set of temperature acquisition nodes that are spatially continuous and have consistent temperature deviation values ​​into candidate anomaly regions. Calculate the average and maximum temperature difference of the temperature deviation values ​​within the candidate abnormal region, and compare them with the preset region judgment threshold. When the average temperature deviation of a candidate anomaly region exceeds the first threshold and the maximum temperature difference exceeds the second threshold, the corresponding candidate anomaly region is identified as an anomaly identification region.

8. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 7, characterized in that, Boundary correction processing is performed on the anomaly identification area to include edge nodes adjacent to the anomaly identification area and whose temperature deviation values ​​show a continuous trend into the anomaly identification area, so as to form a spatially continuous distribution of anomaly areas.

9. The energy-saving continuous regulation and control method for tank temperature feedback heating tape as described in claim 1, characterized in that, The real-time temperature data from the temperature acquisition nodes is smoothed over time, and the surface temperature distribution parameters of the equipment and abnormal areas are calculated based on the smoothed real-time temperature data.

10. An energy-saving continuous adjustment and control system for tank temperature feedback heating tape, characterized in that, An energy-saving continuous regulation and control method for tank temperature feedback according to any one of claims 1-9, the system comprising: Data reading module: Multiple temperature acquisition nodes are set on the surface of the heated equipment along the direction of the heating cable, and the real-time temperature data of each temperature acquisition node is read. Temperature distribution calculation module: Calculates the surface temperature distribution parameters of the equipment based on the spatial relationship of each temperature acquisition node. The surface temperature distribution parameters of the equipment include the difference between the maximum and minimum temperatures, the temperature difference between adjacent acquisition nodes, and the average deviation of each temperature acquisition node. Anomaly location module: Uses the surface temperature distribution parameters of the equipment to locate abnormal areas and establish anomaly identification areas; Backtracking analysis module: Performs backtracking analysis on anomaly-identified areas and establishes the anomaly backtracking analysis results; Regulation and control module: Reconstructs the continuous regulation strategy of the heat tracing cable based on the abnormal backtracking analysis results and real-time temperature data, and executes continuous regulation and control of the heat tracing cable based on the continuous regulation strategy.

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