Temperature control method and system for automated electrical control cabinets

Abstract

This invention discloses a temperature control method and system for automated electrical control cabinets, relating to the field of industrial equipment operating environment regulation technology. The method includes the following steps: collecting cabinet operation change records and temperature change records during automated production cycle changes, arranging them in a uniform chronological order to form a start-stop evolution time series; performing segmented analysis of the operating rhythm based on the start-stop evolution time series, extracting high-frequency pulse segments from the start-stop evolution time series, and calculating the heat accumulation trend based on the high-frequency pulse segments to form a junction temperature evolution curve reflecting internal temperature changes. This invention achieves continuous sensing of internal temperature rise changes by constructing a start-stop evolution time series and extracting high-frequency pulse segments to form a junction temperature evolution curve; further, by identifying abnormal segments to determine the critical start-stop frequency and duration, it coordinates the start-stop interval and air cooling intensity to stabilize the internal heat release rhythm of the cabinet and improve temperature control capabilities.

Description

Technical Field

[0001] This invention relates to the field of industrial equipment operating environment control technology, specifically to a temperature control method and system for automated electrical control cabinets. Background Technology

[0002] Temperature control for automated electrical control cabinets refers to a technical approach that involves continuously monitoring changes in heat generated inside the cabinet during operation, and adjusting and managing the cabinet's internal temperature in conjunction with equipment operating status, ambient temperature, and heat dissipation conditions. Specifically, automated electrical control cabinets typically house electrical components such as controllers, power supplies, relays, drivers, and communication devices. These components generate continuous heat during operation, and the accumulation of heat within the limited space of the cabinet can easily lead to temperature increases, affecting the stability and lifespan of electronic components. Therefore, by installing temperature sensing devices inside the control cabinet to collect real-time temperature changes, and adjusting fan operation, ventilation rhythm, or cooling devices based on these temperature variations, heat can be released promptly, maintaining a suitable operating temperature range and ensuring the long-term reliable operation of all electrical components within the control cabinet under stable environmental conditions.

[0003] The existing technology has the following shortcomings:

[0004] In existing technologies, when the automated production cycle changes, the equipment is prone to frequent start-stop cycles, with power units repeatedly loading and unloading in short periods, generating high-frequency current pulses. Although these pulses are short-lived, they create instantaneous high-power heat generation inside the chip, which is then superimposed on before cooling is complete, gradually accumulating heat. Because existing technologies rely heavily on monitoring the air temperature inside the cabinet, conventional temperature curves tend to be flat and fail to reflect the true changes in the chip's internal junction temperature, resulting in a stepped increase in the internal junction temperature. After long-term operation, the chip is prone to thermal stress imbalance, which can easily lead to core processor failure or even abnormal control of the entire cabinet.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a temperature control method and system for automated electrical control cabinets to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a temperature control method for automated electrical control cabinets, comprising the following steps:

[0008] Collect cabinet operation change records and temperature change records during the automated production cycle change stages, arrange them in a unified time sequence to form a start-stop evolution time sequence;

[0009] The operation rhythm is segmented and analyzed based on the start-stop evolution time series. High-frequency pulse segments are extracted from the start-stop evolution time series, and the heat accumulation trend is calculated based on the high-frequency pulse segments to form a junction temperature evolution curve that reflects the internal temperature rise.

[0010] Based on the junction temperature evolution curve, the temperature change records in the start-stop evolution time series are compared. Abnormal sections in the start-stop evolution time series where the external temperature change remains stable while the internal temperature rises in a step change are identified. The junction temperature jump start point and duration interval are marked in the start-stop evolution time series.

[0011] Based on the production cycle change segments in the start-stop evolution time series of abnormal sections, the start-stop progress rhythm and heat dissipation change rhythm are continuously compared to determine the critical start-stop frequency and critical duration that trigger thermal imbalance.

[0012] Based on the critical start-stop frequency and critical duration, the start-stop progression rhythm corresponding to the start-stop evolution time series is dynamically adjusted. Combined with the junction temperature evolution curve, the temperature rise of the next start-stop cycle is predicted. The start-stop interval and air cooling intensity are adjusted in a coordinated manner to control the heat release rhythm inside the cabinet.

[0013] Preferably, the steps for forming the start-stop evolution time series are as follows:

[0014] Acquire cabinet operation change records during production cycle change phases, perform time stamping on the operation change records, and form a sequence of original operation change records arranged in chronological order;

[0015] Collect records of temperature changes inside the cabinet, time-stamp the temperature change records, and arrange them in chronological order to form a temperature change record sequence;

[0016] The temperature change record sequence is embedded into the original operation change record sequence based on the time stamp, and the operation change record and temperature change record are arranged in a unified time sequence to form a time information set.

[0017] The time information set is arranged continuously according to the time mark, and the operation change record is used as the main line to advance the time series. The temperature change record of the corresponding time node is embedded in the position of the operation change record to form the start-stop evolution time series.

[0018] Preferably, the steps for extracting high-frequency pulse segments and forming junction temperature evolution curves based on the start-stop evolution time series are as follows:

[0019] The operation change records in the start-stop evolution time series are sorted in chronological order and divided into segments according to the time interval between start and stop actions to form a set of operation rhythm segments;

[0020] The start-stop propulsion records are continuously organized based on the set of operation rhythm segments. The continuous start-stop propulsion segments are identified based on the number of start-stop propulsions within a unit time range, forming high-frequency pulse segments.

[0021] Based on the high-frequency pulse segment, the start-stop propulsion records and corresponding temperature change records at the time nodes are time-corresponding and organized to estimate the heat accumulation trend within the high-frequency pulse segment.

[0022] Based on the heat accumulation trend, the temperature change records in the start-stop evolution time series are continuously organized, and the junction temperature evolution curve is constructed by combining the start-stop advancement records with the advancement relationship in the time dimension.

[0023] Preferably, the heat accumulation trend is formed by time correspondence between the start-stop propagation records in the high-frequency pulse segment and the temperature change records at the corresponding time nodes, and the propagation path of the junction temperature evolution curve in the time dimension is determined based on the continuous change trajectory of the temperature change records in the time series.

[0024] Preferably, the steps for identifying abnormal sections and marking the junction temperature jump start point and duration range are as follows:

[0025] Unfold the trajectory of the junction temperature evolution curve over time, and organize the time nodes in the junction temperature evolution curve with the temperature change records in the start-stop evolution time series to form a time series structure in which the temperature change records and the junction temperature evolution curve are arranged in correspondence.

[0026] Read the temperature change records in the start-stop evolution time series, continuously organize the temperature change values ​​between adjacent time nodes, and identify temperature segments where the external temperature changes remain stable.

[0027] Organize the junction temperature evolution curve change trajectory corresponding to the temperature range, continuously identify the temperature rise path of the junction temperature evolution curve in the time series, and determine the abnormal range where the external temperature change remains stable while the internal temperature rises in a step change.

[0028] The time position of the abnormal section in the start-stop evolution time series is marked, and the starting time node of the internal temperature rise trajectory is recorded as the starting point of the junction temperature jump. At the same time, the continuous interval of the junction temperature jump formed by the continuous temperature rise of the junction temperature evolution curve is marked.

[0029] Preferably, the steps for determining the critical start / stop frequency and critical duration are as follows:

[0030] Tracing back the abnormal segments in the start-stop evolution time series, the production rhythm change segments corresponding to the abnormal segments are organized in chronological order to form a set of production rhythm change segments;

[0031] Organize the start-stop progress records from the set of production rhythm change segments, record the time of start-stop action and the time interval between adjacent start-stop actions, and form a start-stop progress rhythm record sequence;

[0032] Read the temperature change records from the set of production cycle change segments, organize the temperature change records in chronological order, and arrange them in time correspondence with the start-stop propulsion rhythm record sequence to form a heat dissipation change rhythm record;

[0033] By comparing the start-stop propulsion rhythm record sequence with the heat dissipation change rhythm record, the critical start-stop frequency and critical duration are determined based on the number of start-stop propulsion cycles per unit time range and the corresponding duration of the time range.

[0034] Preferably, the number of start-stop actions within a unit time range is read based on the start-stop propulsion rhythm recording sequence, and combined with the temperature change trajectory at the corresponding time node in the heat dissipation change rhythm recording, the continuous heating phase of the temperature change trajectory is identified, the number of start-stop propulsion actions corresponding to the continuous heating phase is determined as the critical start-stop frequency, and the time range corresponding to the continuous heating phase is determined as the critical duration.

[0035] Preferably, the steps for controlling the heat release rhythm inside the cabinet are as follows:

[0036] Organize the start-stop advancement records in the start-stop evolution time series, arrange the start-stop advancement records in chronological order according to the critical start-stop frequency and critical duration, and dynamically adjust the start-stop advancement rhythm according to the number of start-stop advancements within the time range.

[0037] The start-stop propulsion rhythm after dynamic scaling adjustment is mapped to the start-stop evolution time series, and the temperature change trajectory of the junction temperature evolution curve at the corresponding time node is read. The start-stop propulsion record and the junction temperature evolution curve change trajectory are sorted out for time correspondence, and the temperature rise generated by the next round of start-stop propulsion is calculated.

[0038] Read the time interval between start-stop propulsion records, and continuously organize the start-stop intervals by combining the temperature change trajectory of the junction temperature evolution curve at the corresponding time node. At the same time, read the air cooling intensity change record and arrange it in time correspondence with the start-stop propulsion record.

[0039] Organize the correspondence between start / stop progress records and air-cooling intensity change records in the time dimension, and control the heat release rhythm inside the cabinet by adjusting the start / stop interval and air-cooling intensity change records.

[0040] The temperature control system for automated electrical control cabinets includes an operating data sequence construction module, a high-frequency start / stop identification module, a junction temperature evolution analysis module, a thermal imbalance threshold determination module, and a start / stop heat dissipation adjustment module.

[0041] The running data sequence construction module collects records of cabinet operation changes and temperature changes during the automated production cycle, arranges them in a unified time sequence, and forms a start-stop evolution time sequence.

[0042] The high-frequency start-stop identification module performs segmented analysis of the operating rhythm based on the start-stop evolution time series, extracts high-frequency pulse segments from the start-stop evolution time series, and calculates the heat accumulation trend based on the high-frequency pulse segments to form a junction temperature evolution curve that reflects the internal temperature rise changes.

[0043] The junction temperature evolution analysis module compares the temperature change records in the start-stop evolution time series based on the junction temperature evolution curve. It identifies abnormal sections in the start-stop evolution time series where the external temperature change remains stable while the internal temperature rises in a step-like manner, and marks the junction temperature jump start point and duration interval in the start-stop evolution time series.

[0044] The thermal imbalance threshold determination module continuously compares the start-stop progress rhythm and heat dissipation change rhythm with the production cycle change segments in the start-stop evolution time series of abnormal sections to determine the critical start-stop frequency and critical duration that trigger thermal imbalance.

[0045] The start-stop heat dissipation adjustment module dynamically adjusts the start-stop progress rhythm corresponding to the start-stop evolution time sequence based on the critical start-stop frequency and critical duration. It also predicts the temperature rise caused by the next round of start-stop based on the junction temperature evolution curve, and coordinates the start-stop interval and air cooling intensity to control the heat release rhythm inside the cabinet.

[0046] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0047] This invention constructs a start-stop evolution time series and performs segmented analysis of the operating rhythm, establishing a continuous time correspondence between the operating trajectory and the temperature change trajectory. This allows the equipment's start-stop behavior and internal temperature rise changes to be correlated and expressed on the same time dimension. By extracting high-frequency pulse segments from the time series and calculating the heat accumulation trend, a junction temperature evolution curve reflecting internal temperature rise changes is formed. This allows the internal heating process of the cabinet to be continuously characterized, enabling the identification of internal temperature change trends when external temperature changes are not significant. This provides a more complete representation of the temperature change process and enhances the ability to perceive the internal thermal changes of the cabinet.

[0048] This invention identifies abnormal segments and traces back production cycle changes to determine the critical start-stop frequency and duration that trigger thermal imbalance, establishing a quantifiable temporal relationship between the start-stop rhythm and the heat dissipation rhythm. Based on this, the start-stop rhythm is dynamically adjusted, and the temperature rise in the next start-stop cycle is calculated using the junction temperature evolution curve. By coordinating the start-stop interval and air cooling intensity, the heat generation and release processes are synchronized over time, maintaining a stable heat release rhythm within the cabinet and improving temperature control capabilities during equipment operation. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0050] Figure 1 This is a flowchart of the temperature control method for an automated electrical control cabinet according to the present invention.

[0051] Figure 2 This is a schematic diagram of the temperature control system module for an automated electrical control cabinet according to the present invention.

[0052] Figure 3 This is a logic diagram of the present invention. Detailed Implementation

[0053] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0054] This invention provides, for example Figure 1 The temperature control method shown for an automated electrical control cabinet includes the following steps:

[0055] Collect cabinet operation change records and temperature change records during the automated production cycle change stages, arrange them in a unified time sequence to form a start-stop evolution time sequence;

[0056] By unifying the time organization of operational status change information and temperature change information, the cabinet's operation process is made to form a continuous progression relationship in the time dimension, thereby constructing a start-stop evolution time sequence that can completely reflect the start-stop progression trajectory and temperature change trajectory. The specific implementation steps are as follows:

[0057] The system continuously acquires records of cabinet operation changes during production cycle variations, and timestamps each record to ensure a clear temporal sequence. In practice, during the operation of automated production equipment, when the production cycle advances, pauses, resumes, or switches, the operating states of the control units, drive units, and power supply units inside the cabinet change accordingly. These changes are recorded one by one using operation change records. Each record includes the time information of the change in operating state and the content of that change, including the time of start / stop action, the duration of the start / stop advancement phase, and the duration of the operating phase. By attaching a uniform timestamp to each record, the records form an original sequence of operation change records in chronological order. This original sequence is arranged based on the timestamps, ensuring a continuous progression of operating state changes across production cycle variations, thus maintaining a complete sequential relationship on the timeline.

[0058] After the initial operational change record sequence is formed, the temperature change records inside the cabinet are collected synchronously, and these temperature change records are time-stamped according to a time base consistent with the initial operational change record sequence. In practice, temperature change records are obtained through continuous temperature acquisition, and each record includes the time of the temperature change and the corresponding temperature value. The time stamps on the temperature change records are consistent with those in the initial operational change record sequence, establishing a temporal correspondence between the temperature change records and the operational change records. The temperature change records are then arranged chronologically to form a continuous temperature change record sequence. This sequence is then embedded line by line into the initial operational change record sequence, using the time stamps as the basis for identification. This ensures that each time point contains both operational status change information and temperature change information, creating a time information set where operational change records and temperature change records coexist.

[0059] After the operation change records and temperature change records are unified with time stamps and form a time information set, the time information set is organized as a whole, arranging all records in the time information set continuously according to the time stamp order. During the organization process, each operation change record and its corresponding temperature change record at each time node is sorted sequentially, using the time stamp as the sole basis, ensuring that the operation change records and temperature change records maintain a synchronous arrangement relationship in the time dimension. After sorting, each time node contains both the corresponding operation change record and temperature change record, ensuring that the progress of the production cycle change phase and the temperature change process form a synchronous trajectory on the same time axis. Through this time organization method, the operation change process and the temperature change process are recorded continuously in the time dimension, maintaining the time correspondence between the two types of records, thus forming a structurally complete time arrangement structure.

[0060] After organizing and sorting the time information set, the organized time arrangement structure is constructed into a start-stop evolution time series. During the construction process, the operation change records serve as the main thread driving the time series forward. Temperature change records at corresponding time nodes are embedded in the positions of the operation change records, ensuring that the operation change records and temperature change records are arranged continuously in chronological order within the same time series. The start-stop action occurrence time, the duration of the start-stop advancement phase, and the duration of the operation phase form a continuous advancement trajectory in the time series. Simultaneously, the temperature value change process at the corresponding time nodes is also recorded in the same time series. Through this construction method, the start-stop advancement process and temperature change process of the production cycle change phase form a complete evolutionary relationship on the same time dimension, thus forming a start-stop evolution time series containing both operation change records and temperature change records. This start-stop evolution time series can fully reflect the cabinet's operation advancement trajectory and temperature change trajectory during the production cycle change phase, enabling the operation change information and temperature change information to form a continuous evolutionary relationship within the same time series, thereby providing a continuous time basis for subsequent operation rhythm analysis and temperature change trend analysis.

[0061] The operation rhythm is segmented and analyzed based on the start-stop evolution time series. High-frequency pulse segments are extracted from the start-stop evolution time series, and the heat accumulation trend is calculated based on the high-frequency pulse segments to form a junction temperature evolution curve that reflects the internal temperature rise.

[0062] Based on the operational trajectory and temperature change trajectory presented by the start-stop evolution time series, the operational rhythm is continuously segmented and organized. Dense operational segments formed by continuous start-stop progression are identified within the time series. By segmenting the temporal relationship between the operational progression and temperature change processes within these segments, the heat accumulation process over time is calculated. Based on this, a junction temperature evolution curve reflecting the internal temperature rise trajectory is constructed, establishing a continuous correspondence between the operational rhythm changes and the internal temperature changes. The specific implementation steps are as follows:

[0063] The operational trajectory in the start-stop evolution time series is systematically unfolded and organized, and the operational change records in the time series are continuously segmented based on chronological order. In practice, starting from the initial time node of the start-stop evolution time series, the operational change records in the time series are read one by one in chronological order, recording the time position of each start-stop action and the duration of the subsequent operation phase, as well as the temperature change record corresponding to the same time node. Then, using the time interval between start-stop actions as the segmentation basis, the time series is divided into multiple continuous operational rhythm segments. Each operational rhythm segment contains start-stop advancement records within a continuous time range and temperature change records at the corresponding time nodes. After segmentation, each operational rhythm segment is kept continuously in the time dimension, maintaining the temporal correspondence between the start-stop advancement records and temperature change records within that segment, thus forming a set of operational rhythm segments arranged in chronological order.

[0064] After forming a set of operational rhythm segments, the start-stop propulsion trajectories within this set are continuously organized to identify operational segments that exhibit multiple start-stop propulsion actions within a unit time range. These segments are then extracted to form high-frequency pulse segments. In practice, each operational rhythm segment in the set is observed sequentially, and the occurrence time of each start-stop action is recorded. The number of start-stop propulsion actions occurring within that time range is counted, while maintaining the temporal correspondence between start-stop propulsion records and temperature change records. When consecutive start-stop propulsion records appear within the time range of a particular operational rhythm segment, and multiple start-stop propulsion actions are arranged consecutively in the time series, this operational rhythm segment is identified as a high-frequency pulse segment. Subsequently, the start and end time nodes of this high-frequency pulse segment are marked in the start-stop evolution time series, ensuring that the high-frequency pulse segment forms a complete time range within the time series. The original arrangement order of all start-stop propulsion records and corresponding temperature change records within this segment is maintained, thus forming a set of high-frequency pulse segments containing complete operational propulsion trajectories.

[0065] After forming a set of high-frequency pulse segments, the start-stop propagation trajectories and temperature change trajectories within each segment are compared and organized segment by segment to deduce the heat accumulation trend within the high-frequency pulse segments. In the specific implementation process, the starting time node of each high-frequency pulse segment is used as the starting point for organization. Start-stop propagation records within that segment are read sequentially according to time, and the temperature change record at the corresponding time node is read simultaneously with each start-stop propagation record. The start-stop propagation records are then arranged sequentially according to time, and the temperature change records at the corresponding time nodes are embedded at the same time position, creating a continuous correspondence between the start-stop propagation records and the temperature change records in the time dimension. As start-stop propagation actions occur continuously within the high-frequency pulse segments, the temperature change records at the corresponding time nodes form a progressively advancing trajectory in the time series. By organizing this trajectory segment by segment, the temperature changes form a continuous superposition process in the time dimension. Based on the progressive relationship of this continuous superposition process in the time dimension, the heat changes generated by the start-stop propagation actions within the high-frequency pulse segments are continuously calculated, forming a segmented accumulation trajectory of heat changes in the time series, thereby obtaining the heat accumulation trend within the high-frequency pulse segments.

[0066] After analyzing the heat accumulation trend within the high-frequency pulse segment, the temperature change trajectory in the start-stop evolution time series is continuously analyzed based on the temporal progression of the heat accumulation trend, thereby constructing a junction temperature evolution curve that reflects the internal temperature rise process. In the specific implementation, the temperature change records corresponding to each time node in the high-frequency pulse segment are used as the basis. These records are arranged continuously in chronological order, maintaining the temporal correspondence between the temperature change records and the start-stop progression records. Subsequently, the temperature change records are analyzed segment by segment along the chronological order, forming a continuous path of temperature change in the time series. Combined with the temporal progression of the heat accumulation trend within the high-frequency pulse segment, this path is continuously extended in the temporal dimension, thus forming a junction temperature evolution curve reflecting the internal temperature rise process. This junction temperature evolution curve maintains continuous progression in the temporal dimension and corresponds to the start-stop progression trajectory in the start-stop evolution time series. This ensures that the start-stop progression process and the internal temperature rise process form a complete evolution structure within the same time series, providing continuous temporal evidence for subsequent identification of abnormal internal temperature rise segments and determination of heat release rhythm.

[0067] Based on the junction temperature evolution curve, the temperature change records in the start-stop evolution time series are compared. Abnormal sections in the start-stop evolution time series where the external temperature change remains stable while the internal temperature rises in a step change are identified. The junction temperature jump start point and duration interval are marked in the start-stop evolution time series.

[0068] Based on the correspondence between the operational trajectory, temperature change records, and junction temperature evolution curve reflected in the start-stop evolution time series, the temperature change process in the time series is compared and organized segment by segment. By continuously analyzing the temporal relationship between the internal and external temperature change trajectories, abnormal segments where the external temperature change remains stable while the internal temperature rises in a step-like manner are identified. The starting point and duration of the junction temperature jump are continuously marked in the start-stop evolution time series, thus forming a complete record of the abnormal temperature rise process in the time dimension. The specific implementation steps are as follows:

[0069] The junction temperature evolution curve is unfolded segment by segment along the time dimension, and each time point in the junction temperature evolution curve is mapped one-to-one with the corresponding time point in the start-stop evolution time series. In practice, starting from the beginning of the start-stop evolution time series, temperature change records are read one by one, simultaneously recording the junction temperature evolution curve change position corresponding to the same time point, thus establishing a unified arrangement between the temperature change records and the junction temperature evolution curve along the time dimension. Subsequently, the temperature change records and the junction temperature evolution curve trajectory are synchronized and organized in chronological order, ensuring that each time point includes both the external temperature change record and the corresponding junction temperature evolution curve change position. This time correspondence method creates a complete correspondence between the temperature change records and the junction temperature evolution curve in the start-stop evolution time series on the same time axis, resulting in a time series structure where the temperature change trajectory and the junction temperature evolution trajectory coexist.

[0070] After completing the time correspondence between temperature change records and junction temperature evolution curves, the temperature change records in the start-stop evolution time series are continuously observed and organized to identify time segments where external temperature changes remain stable over a continuous time range. In practice, temperature change records in the start-stop evolution time series are read sequentially along the timeline, and the temperature change values ​​between adjacent time nodes are continuously compared. When the temperature change records of multiple consecutive time nodes are arranged continuously in the time series and form a stable change trajectory, this continuous time range is recorded as a temperature segment where external temperature changes remain stable. While recording this temperature segment, the correspondence between all time nodes within this temperature segment and the corresponding time nodes of the junction temperature evolution curve is maintained, ensuring that each time position within this temperature segment simultaneously reflects both the temperature change record and the junction temperature evolution curve trajectory, thus forming a set of stable temperature segments with complete time information.

[0071] After obtaining the set of stable temperature ranges, the junction temperature evolution curves corresponding to these ranges are systematically analyzed to identify anomalous segments where internal temperature rise exhibits abrupt changes. In practice, the starting time of each stable temperature range is used as the starting point for analysis. The junction temperature evolution curves within these ranges are read sequentially, and the changes between adjacent time points are continuously analyzed. When the junction temperature evolution curve exhibits a continuous upward trajectory after a certain time point, forming multiple consecutive temperature rise paths in the time series, this path is recorded as the internal temperature rise trajectory. This internal temperature rise trajectory is then correlated with the stable temperature ranges over time, establishing a correspondence between the internal trajectory and temperature ranges where external temperature changes remain stable. This allows for the identification of anomalous segments in the start-stop evolution time series where external temperature changes remain stable while internal temperature rises abruptly.

[0072] After identifying the abnormal segment, the time position of the corresponding abnormal segment in the start-stop evolution time series is continuously marked, and the junction temperature rise start point and duration interval are recorded in the time series. In specific implementation, the starting time node of the internal temperature change trajectory in the abnormal segment is taken as the junction temperature rise start point, and this time node is marked in the start-stop evolution time series, so that this time node forms a junction temperature rise start point identifier in the time series. Subsequently, the junction temperature evolution curve change position in the abnormal segment is read in chronological order. When the junction temperature evolution curve maintains a continuous temperature change trajectory in the time series, this continuous time range is recorded as the junction temperature rise duration interval, and this duration interval is continuously marked in the start-stop evolution time series, so that the abnormal segment forms a complete identifier structure in the time series. This labeling method allows for a clear time range record of the junction temperature rise start point and the duration of the junction temperature rise in the start-stop evolution time series. This enables a complete expression of the difference between the external temperature change trajectory and the internal temperature rise trajectory in the time dimension, providing a continuous time basis for subsequent operational rhythm analysis and heat release rhythm adjustment for abnormal sections.

[0073] Based on the production cycle change segments in the start-stop evolution time series of abnormal sections, the start-stop progress rhythm and heat dissipation change rhythm are continuously compared to determine the critical start-stop frequency and critical duration that trigger thermal imbalance.

[0074] Based on the temporal position of the abnormal section in the start-stop evolution time series, the production cycle change segments preceding the abnormal section are retrospectively analyzed. By comparing the continuous correspondence between the start-stop advancement rhythm and the heat dissipation change rhythm in the time dimension segment by segment, the operation process that generates heat accumulation under specific start-stop advancement conditions is identified. Based on this, the critical start-stop frequency and critical duration that trigger thermal imbalance are determined, establishing a clear temporal correlation between the operation advancement rhythm and the heat release rhythm. The specific implementation steps are as follows:

[0075] Based on the abnormal segments already marked in the start-stop evolution time series, a time-backtracking process is performed on the production cycle change segments preceding these abnormal segments. In practice, the junction temperature rise point of the abnormal segment is used as the starting point for backtracking. Operational change records in the start-stop evolution time series are read segment by segment forward in chronological order to obtain a production cycle change segment within a continuous time range preceding the abnormal segment. This production cycle change segment contains multiple consecutive start-stop progress records and corresponding temperature change records at each time point, maintaining the chronological order between these time points. Subsequently, this production cycle change segment is arranged chronologically so that each time point simultaneously reflects the start-stop progress status and corresponding temperature change information, thus forming a complete set of production cycle change segments. This allows the operational trajectory preceding the abnormal segment to be continuously unfolded in the time dimension.

[0076] After obtaining the set of production rhythm change segments, the start-stop propulsion trajectories within these segments are systematically organized to form a continuously arranged start-stop propulsion rhythm record. In practice, each start-stop propulsion record within the production rhythm change segment is read individually, recording the time and location of each start-stop action and the time interval between adjacent actions, while maintaining the original arrangement of temperature change records at corresponding time points in the time series. Subsequently, the consecutive start-stop propulsion records are arranged chronologically, forming a continuous propulsion path within each time range, thus creating a start-stop propulsion rhythm record sequence. This sequence reflects the propulsion density and sequence of start-stop actions in the production rhythm change segment over time, enabling the start-stop propulsion process to form a complete rhythmic trajectory in the time series.

[0077] After forming the start-stop propulsion rhythm recording sequence, temperature change records within the same time range are continuously organized to form a heat dissipation change rhythm record corresponding to the start-stop propulsion rhythm recording sequence. In practice, temperature change records are read sequentially along the production cycle, recording the temperature change values ​​at each time point while maintaining the temporal correspondence between the temperature change records and the start-stop propulsion records. The temperature change records are then arranged sequentially, creating a continuous trajectory of temperature change within the time series, and each time point is used as a reference to correspond with the start-stop propulsion rhythm recording sequence. This correspondence allows for a continuous comparison between the start-stop propulsion rhythm recording sequence and the heat dissipation change rhythm record on the same temporal dimension, enabling observation of the temperature change trajectory's progression along the temporal dimension during continuous start-stop propulsion.

[0078] After establishing a time correspondence between the start-stop propulsion rhythm recording sequence and the heat dissipation change rhythm recording, the two types of rhythm records are continuously compared and analyzed to determine the critical start-stop frequency and critical duration for triggering thermal imbalance. In practice, starting from the initial time node of the production cycle change segment, the number of start-stop actions in the start-stop propulsion rhythm recording sequence is observed segment by segment along the time sequence, and the number of start-stop propulsion actions occurring within a unit time range is recorded. Simultaneously, the heat dissipation change rhythm recording at the corresponding time node is read within the same time range, and the progression of the temperature change trajectory in the time dimension is continuously analyzed. When the start-stop propulsion rhythm recording sequence exhibits a dense progression within a certain continuous time range, and the temperature change trajectory forms a continuously rising temperature change path in the time dimension within that time range, that time range is recorded as the heat accumulation stage. Subsequently, the number of start-stop propulsion actions during this heat accumulation stage is statistically analyzed, and the duration of this time range in the time series is recorded, thereby obtaining the start-stop propulsion frequency and corresponding duration corresponding to triggering thermal imbalance. Finally, the start-stop propulsion frequency was recorded as the critical start-stop frequency, and the corresponding time range was recorded as the critical duration. This allowed for a complete description of the relationship between the start-stop propulsion rhythm and the heat dissipation change rhythm in the time dimension, thus providing a clear basis for subsequent adjustment of the start-stop propulsion rhythm and control of the heat release rhythm.

[0079] Based on the critical start-stop frequency and critical duration, the start-stop progress rhythm corresponding to the start-stop evolution time series is dynamically adjusted. Combined with the junction temperature evolution curve, the temperature rise of the next start-stop is predicted. The start-stop interval and air cooling intensity are adjusted in a coordinated manner to control the heat release rhythm inside the cabinet.

[0080] Based on the time correspondence between the start-stop rhythm and the heat dissipation change rhythm, the established critical start-stop frequency and critical duration are applied. By dynamically adjusting the start-stop trajectory in the start-stop evolution time series, and combining this with the junction temperature evolution curve, the temperature rise caused by the next round of start-stop is continuously calculated. This allows the start-stop rhythm and the heat dissipation change rhythm to form a coordinated adjustment relationship in the time dimension. Furthermore, by continuously adjusting the start-stop interval and air cooling intensity, the heat release rhythm inside the cabinet is kept stable. The specific implementation steps are as follows:

[0081] Based on the established critical start-stop frequencies and critical durations, the start-stop advancement rhythm in the start-stop evolution time series is segmented and organized to create an adjustable temporal structure for the start-stop advancement trajectory. In practice, starting from the current time node in the start-stop evolution time series, start-stop advancement records are read sequentially within the subsequent time range, recording the time position of each start-stop advancement action and the time interval between adjacent actions. These continuous start-stop advancement records are then arranged chronologically, forming a continuous advancement trajectory for each action within the time series. Based on the time range corresponding to the critical start-stop frequency, the number of start-stop advancements within that time range is segmented and organized to correspond with the critical start-stop frequency. When the number of start-stop advancements within a certain time range matches the number of advancements corresponding to the critical start-stop frequency, the start-stop advancement trajectory within that time range is extended by increasing the time interval between adjacent actions, creating a new advancement rhythm structure within the time series and thus achieving dynamic scaling adjustment of the start-stop advancement rhythm.

[0082] After dynamically adjusting the start-stop propulsion rhythm, the adjusted rhythm is remapped to the start-stop evolution time series, and the temperature rise that may occur in the next start-stop propulsion action is continuously calculated in conjunction with the junction temperature evolution curve. In practice, the current time point on the junction temperature evolution curve is used as the starting point for analysis. The curve's trajectory over the previous operating time is read sequentially, and the temperature change process corresponding to each start-stop propulsion action within that time range is recorded. Subsequently, the time points of the adjusted start-stop propulsion rhythm in the time series are correlated with the historical temperature change trajectory in the junction temperature evolution curve, ensuring that each new start-stop propulsion action corresponds to a temperature rise process that occurred during historical operation. By continuously organizing these correspondences, the new start-stop propulsion rhythm forms a corresponding temperature rise path in the time dimension, thereby calculating the potential temperature rise of the next start-stop propulsion action.

[0083] After obtaining the temperature rise corresponding to the next round of start-stop propulsion, the start-stop intervals in the start-stop propulsion rhythm are further refined, and the air-cooling intensity is continuously adjusted in conjunction with the heat dissipation change rhythm. In practice, the time intervals between adjacent start-stop propulsion actions in the adjusted start-stop propulsion rhythm are read one by one, and the temperature change trajectory corresponding to the junction temperature evolution curve within each time interval is recorded. These time intervals are then arranged chronologically, creating a new interval structure in the time series of the start-stop propulsion rhythm. Based on the potential temperature rise from the next round of start-stop propulsion, the time intervals are rearranged, creating a new arrangement of time intervals between consecutive start-stop propulsion actions. Simultaneously, the air-cooling intensity change information in the heat dissipation change records is read chronologically, and the air-cooling intensity change information is matched with the start-stop propulsion records at corresponding time points. By increasing or decreasing the air-cooling intensity, the air-cooling change process forms a continuous heat dissipation trajectory in the time series, thus establishing a continuous correspondence between the heat dissipation change rhythm and the start-stop propulsion rhythm.

[0084] After coordinating the start-stop interval and air-cooling intensity, the time correspondence between the start-stop progression rhythm and the heat dissipation change rhythm is comprehensively organized, ensuring that the heat release process inside the cabinet forms a continuous progression trajectory in the time series. In specific implementation, the adjusted start-stop progression time nodes and the corresponding air-cooling intensity change records are rewritten into the start-stop evolution time series, ensuring that each time node simultaneously contains both start-stop progression records and air-cooling intensity change records. Subsequently, new start-stop progression records and air-cooling intensity change records are read sequentially along the time axis, establishing a continuous time correspondence between the heat change process generated by the start-stop progression action and the heat dissipation process formed by the air-cooling intensity change. Through this continuous organization method, the heat generation process and the heat release process are coordinated in the time series, thereby achieving continuous control over the heat release rhythm inside the cabinet and ensuring that the start-stop progression rhythm and the heat dissipation change rhythm remain synchronized in the time dimension.

[0085] This invention constructs a start-stop evolution time series and performs segmented analysis of the operating rhythm, establishing a continuous time correspondence between the operating trajectory and the temperature change trajectory. This allows the equipment's start-stop behavior and internal temperature rise changes to be correlated and expressed on the same time dimension. By extracting high-frequency pulse segments from the time series and calculating the heat accumulation trend, a junction temperature evolution curve reflecting internal temperature rise changes is formed. This allows the internal heating process of the cabinet to be continuously characterized, enabling the identification of internal temperature change trends when external temperature changes are not significant. This provides a more complete representation of the temperature change process and enhances the ability to perceive the internal thermal changes of the cabinet.

[0086] This invention identifies abnormal segments and traces back production cycle changes to determine the critical start-stop frequency and duration that trigger thermal imbalance, establishing a quantifiable temporal relationship between the start-stop rhythm and the heat dissipation rhythm. Based on this, the start-stop rhythm is dynamically adjusted, and the temperature rise in the next start-stop cycle is calculated using the junction temperature evolution curve. By coordinating the start-stop interval and air cooling intensity, the heat generation and release processes are synchronized over time, maintaining a stable heat release rhythm within the cabinet and improving temperature control capabilities during equipment operation.

[0087] This invention provides, for example Figure 2 The temperature control system shown for the automated electrical control cabinet includes an operating data sequence construction module, a high-frequency start / stop identification module, a junction temperature evolution analysis module, a thermal imbalance threshold determination module, and a start / stop heat dissipation adjustment module.

[0088] The running data sequence construction module collects records of cabinet operation changes and temperature changes during the automated production cycle, arranges them in a unified time sequence, and forms a start-stop evolution time sequence.

[0089] The high-frequency start-stop identification module performs segmented analysis of the operating rhythm based on the start-stop evolution time series, extracts high-frequency pulse segments from the start-stop evolution time series, and calculates the heat accumulation trend based on the high-frequency pulse segments to form a junction temperature evolution curve that reflects the internal temperature rise changes.

[0090] The junction temperature evolution analysis module compares the temperature change records in the start-stop evolution time series based on the junction temperature evolution curve. It identifies abnormal sections in the start-stop evolution time series where the external temperature change remains stable while the internal temperature rises in a step-like manner, and marks the junction temperature jump start point and duration interval in the start-stop evolution time series.

[0091] The thermal imbalance threshold determination module continuously compares the start-stop progress rhythm and heat dissipation change rhythm with the production cycle change segments in the start-stop evolution time series of abnormal sections to determine the critical start-stop frequency and critical duration that trigger thermal imbalance.

[0092] The start-stop heat dissipation adjustment module dynamically adjusts the start-stop progress rhythm corresponding to the start-stop evolution time sequence based on the critical start-stop frequency and critical duration. It also predicts the temperature rise caused by the next round of start-stop based on the junction temperature evolution curve, and coordinates the start-stop interval and air cooling intensity to control the heat release rhythm inside the cabinet.

[0093] The temperature control method for automated electrical control cabinets provided in this embodiment of the invention is implemented through the temperature control system for automated electrical control cabinets described above. For details of the specific methods and processes of the temperature control system for automated electrical control cabinets, please refer to the embodiments of the temperature control method for automated electrical control cabinets described above, which will not be repeated here.

[0094] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A temperature control method for automated electrical control cabinets, characterized in that, Includes the following steps: Collect cabinet operation change records and temperature change records during the automated production cycle change stages, arrange them in a unified time sequence to form a start-stop evolution time sequence; The operation rhythm is segmented and analyzed based on the start-stop evolution time series. High-frequency pulse segments are extracted from the start-stop evolution time series, and the heat accumulation trend is calculated based on the high-frequency pulse segments to form a junction temperature evolution curve that reflects the internal temperature rise. Specifically, this involves: using the starting time node of each high-frequency pulse segment as the starting point, reading the start-stop propagation records within that segment sequentially according to time, and simultaneously reading the temperature change records at the corresponding time nodes for each start-stop propagation record; then arranging the start-stop propagation records sequentially according to time, and embedding the temperature change records at the corresponding time nodes into the same time position, so that the start-stop propagation records and temperature change records form a continuous correspondence in the time dimension; as the start-stop propagation actions continuously occur in the high-frequency pulse segment, the temperature change records at the corresponding time nodes form a gradually advancing change trajectory in the time series, and by organizing this change trajectory segment by segment, the temperature changes form a continuous superposition process in the time dimension; based on the advancing relationship of this continuous superposition process in the time dimension, the heat changes generated by the start-stop propagation actions within the high-frequency pulse segment are continuously calculated, so that the heat changes form a segment-by-segment accumulation trajectory in the time series, thereby obtaining the heat accumulation trend within the high-frequency pulse segment; Based on the temperature change records corresponding to each time node in the high-frequency pulse segment, the temperature change records are arranged continuously in chronological order, while maintaining the time correspondence between the temperature change records and the start-stop propagation records. Then, the temperature change records are sorted out segment by segment along the time sequence, so that the temperature change forms a continuous change path in the time series. Combined with the time propagation relationship of the heat accumulation trend inside the high-frequency pulse segment, the temperature change path is continuously extended in the time dimension, thereby forming a junction temperature evolution curve that reflects the internal temperature rise process. Based on the junction temperature evolution curve, the temperature change records in the start-stop evolution time series are compared. Abnormal sections in the start-stop evolution time series where the external temperature change remains stable while the internal temperature rises in a step change are identified. The junction temperature jump start point and duration interval are marked in the start-stop evolution time series. Based on the production cycle change segments in the start-stop evolution time series of abnormal sections, the start-stop progress rhythm and heat dissipation change rhythm are continuously compared to determine the critical start-stop frequency and critical duration that trigger thermal imbalance. Based on the critical start-stop frequency and critical duration, the start-stop progression rhythm corresponding to the start-stop evolution time series is dynamically adjusted. Combined with the junction temperature evolution curve, the temperature rise of the next start-stop cycle is predicted. The start-stop interval and air cooling intensity are adjusted in a coordinated manner to control the heat release rhythm inside the cabinet.

2. The temperature control method for an automated electrical control cabinet according to claim 1, characterized in that, The steps for forming the start-stop evolution time series are as follows: Acquire cabinet operation change records during production cycle change phases, perform time stamping on the operation change records, and form a sequence of original operation change records arranged in chronological order; Collect records of temperature changes inside the cabinet, time-stamp the temperature change records, and arrange them in chronological order to form a temperature change record sequence; The temperature change record sequence is embedded into the original operation change record sequence based on the time stamp, and the operation change record and temperature change record are arranged in a unified time sequence to form a time information set. The time information set is arranged continuously according to the time mark, and the operation change record is used as the main line to advance the time series. The temperature change record of the corresponding time node is embedded in the position of the operation change record to form the start-stop evolution time series.

3. The temperature control method for an automated electrical control cabinet according to claim 2, characterized in that, The steps for extracting high-frequency pulse segments based on start-stop evolution time series are as follows: The operation change records in the start-stop evolution time series are sorted in chronological order and divided into segments according to the time interval between start and stop actions to form a set of operation rhythm segments; The start-stop propulsion records are continuously organized based on the set of operation rhythm segments. Continuous start-stop propulsion segments are identified based on the number of start-stop propulsions within a unit time range, forming high-frequency pulse segments.

4. The temperature control method for an automated electrical control cabinet according to claim 3, characterized in that, The heat accumulation trend is formed by time correspondence between the start-stop propagation records in the high-frequency pulse segment and the temperature change records at the corresponding time nodes, and the propagation path of the junction temperature evolution curve in the time dimension is determined based on the continuous change trajectory of the temperature change records in the time series.

5. The temperature control method for an automated electrical control cabinet according to claim 3, characterized in that, The steps for identifying abnormal sections and marking the junction temperature jump start point and duration are as follows: Unfold the trajectory of the junction temperature evolution curve over time, and organize the time nodes in the junction temperature evolution curve with the temperature change records in the start-stop evolution time series to form a time series structure in which the temperature change records and the junction temperature evolution curve are arranged in correspondence. Read the temperature change records in the start-stop evolution time series, continuously organize the temperature change values ​​between adjacent time nodes, and identify temperature segments where the external temperature changes remain stable. Organize the junction temperature evolution curve change trajectory corresponding to the temperature range, continuously identify the temperature rise path of the junction temperature evolution curve in the time series, and determine the abnormal range where the external temperature change remains stable while the internal temperature rises in a step change. The time position of the abnormal section in the start-stop evolution time series is marked, and the starting time node of the internal temperature rise trajectory is recorded as the starting point of the junction temperature jump. At the same time, the continuous interval of the junction temperature jump formed by the continuous temperature rise of the junction temperature evolution curve is marked.

6. The temperature control method for an automated electrical control cabinet according to claim 5, characterized in that, The steps for determining the critical start / stop frequency and critical duration are as follows: Tracing back the abnormal segments in the start-stop evolution time series, the production rhythm change segments corresponding to the abnormal segments are organized in chronological order to form a set of production rhythm change segments; Organize the start-stop progress records from the set of production rhythm change segments, record the time of start-stop action and the time interval between adjacent start-stop actions, and form a start-stop progress rhythm record sequence; Read the temperature change records from the set of production cycle change segments, organize the temperature change records in chronological order, and arrange them in time correspondence with the start-stop propulsion rhythm record sequence to form a heat dissipation change rhythm record; By comparing the start-stop propulsion rhythm record sequence with the heat dissipation change rhythm record, the critical start-stop frequency and critical duration are determined based on the number of start-stop propulsion cycles per unit time range and the corresponding duration of the time range.

7. The temperature control method for an automated electrical control cabinet according to claim 6, characterized in that, Based on the start-stop propulsion rhythm recording sequence, the number of start-stop actions within a unit time range is read, and combined with the temperature change trajectory at the corresponding time node in the heat dissipation change rhythm record, the continuous temperature rise phase of the temperature change trajectory is identified. The number of start-stop propulsion actions corresponding to the continuous temperature rise phase is determined as the critical start-stop frequency, and the time range corresponding to the continuous temperature rise phase is determined as the critical duration.

8. The temperature control method for an automated electrical control cabinet according to claim 6, characterized in that, The steps for controlling the heat release rhythm inside the cabinet are as follows: Organize the start-stop advancement records in the start-stop evolution time series, arrange the start-stop advancement records in chronological order according to the critical start-stop frequency and critical duration, and dynamically adjust the start-stop advancement rhythm according to the number of start-stop advancements within the time range. The start-stop propulsion rhythm after dynamic scaling adjustment is mapped to the start-stop evolution time series, and the temperature change trajectory of the junction temperature evolution curve at the corresponding time node is read. The start-stop propulsion record and the junction temperature evolution curve change trajectory are sorted out for time correspondence, and the temperature rise generated by the next round of start-stop propulsion is calculated. Read the time interval between start-stop propulsion records, and continuously organize the start-stop intervals by combining the temperature change trajectory of the junction temperature evolution curve at the corresponding time node. At the same time, read the air cooling intensity change record and arrange it in time correspondence with the start-stop propulsion record. Organize the correspondence between start / stop progress records and air-cooling intensity change records in the time dimension, and control the heat release rhythm inside the cabinet by adjusting the start / stop interval and air-cooling intensity change records.

9. A temperature control system for an automated electrical control cabinet, used to implement the temperature control method for an automated electrical control cabinet as described in any one of claims 1-8, characterized in that, It includes a runtime data sequence construction module, a high-frequency start / stop identification module, a junction temperature evolution analysis module, a thermal imbalance threshold determination module, and a start / stop heat dissipation adjustment module. The running data sequence construction module collects records of cabinet operation changes and temperature changes during the automated production cycle, arranges them in a unified time sequence, and forms a start-stop evolution time sequence. The high-frequency start-stop identification module performs segmented analysis of the operating rhythm based on the start-stop evolution time series, extracts high-frequency pulse segments from the start-stop evolution time series, and calculates the heat accumulation trend based on the high-frequency pulse segments to form a junction temperature evolution curve that reflects the internal temperature rise changes. The junction temperature evolution analysis module compares the temperature change records in the start-stop evolution time series based on the junction temperature evolution curve. It identifies abnormal sections in the start-stop evolution time series where the external temperature change remains stable while the internal temperature rises in a step-like manner, and marks the junction temperature jump start point and duration interval in the start-stop evolution time series. The thermal imbalance threshold determination module continuously compares the start-stop progress rhythm and heat dissipation change rhythm with the production cycle change segments in the start-stop evolution time series of abnormal sections to determine the critical start-stop frequency and critical duration that trigger thermal imbalance. The start-stop heat dissipation adjustment module dynamically adjusts the start-stop progress rhythm corresponding to the start-stop evolution time sequence based on the critical start-stop frequency and critical duration. It also predicts the temperature rise caused by the next round of start-stop based on the junction temperature evolution curve, and coordinates the start-stop interval and air cooling intensity to control the heat release rhythm inside the cabinet.

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