Production management system and management methods for air conditioning components of new energy vehicles

Abstract

This invention discloses a production management system and method for air conditioning components in new energy vehicles, relating to the fields of new energy vehicle manufacturing and intelligent production management technology. The method includes the following steps: during the production management process of air conditioning components for new energy vehicles, collecting early warning trigger interval values, risk level transition amplitudes, and signal writing frequencies; characterizing the signal occupancy ratio within continuous time segments over time; and marking the initial appearance position of high-risk signals and their corresponding coverage trends. This invention, by characterizing and controlling the occupancy relationship of early warning signals in the time series, avoids high-risk signals being covered by low-risk signals, improving the accuracy of risk identification; simultaneously, by constructing a risk-dominant trajectory and optimizing the signal entry sequence and distribution structure, it ensures that high-risk states remain stably visible over continuous time, thereby reducing production fluctuations caused by anomaly accumulation and improving overall production stability and quality control capabilities.

Description

Technical Field

[0001] This invention relates to the field of new energy vehicle manufacturing and intelligent production management technology, specifically to a production management system and management method for air conditioning components of new energy vehicles. Background Technology

[0002] Production management of air conditioning components for new energy vehicles refers to the integrated and dynamic control of key components such as compressors, evaporators, condensers, electronic expansion valves, and fan assemblies throughout the manufacturing and assembly process of these components in the thermal management system of new energy vehicles. This involves the overall planning and dynamic control of raw material input, process execution rhythm, equipment operating status, personnel operation behavior, and quality inspection results. Driven by production tasks, this process organizes and arranges each process node according to time sequence. By continuously tracking and recording processing accuracy, assembly matching relationships, and performance testing data, the traceability of each stage's status is achieved. Furthermore, abnormal fluctuations are promptly identified and adjusted during production, thereby ensuring the performance consistency, manufacturing stability, and controllable delivery rhythm of air conditioning components under mass production conditions.

[0003] The existing technology has the following shortcomings: In the production management of air conditioning components for new energy vehicles, when the abnormal warning triggering mechanism is in a continuous time-progression state, the warning system continuously receives and updates signals of different risk levels in a short period of time. This can lead to a situation where subsequent low-risk signals overwrite previously identified high-risk signals at a higher writing frequency. At this time, because the correlation between warning information in the time series is not effectively maintained, the high-risk state is gradually weakened or even replaced in subsequent updates, causing the system's judgment of the current risk level to deviate. When the production scheduling system responds based on the warning results after this deviation, it will be unable to identify the real key risks in a timely manner. This will cause abnormal states to accumulate continuously in the production process and be exposed in subsequent stages, leading to serious consequences such as production rhythm disorder and quality control failure.

[0004] 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

[0005] The purpose of this invention is to provide a production management system and management method for air conditioning components of new energy vehicles, so as to solve the problems in the background art mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a production management method for air conditioning components of new energy vehicles, comprising the following steps: In the production management of air conditioning components for new energy vehicles, the warning trigger interval, risk level transition amplitude and signal writing frequency are collected. The proportion of signals occupying the continuous time segment is characterized along the time progression, and the initial occurrence position of high-risk signals and corresponding coverage trends are marked. Based on the initial location and coverage trend of high-risk signals, the signal writing frequency within the corresponding time segment is gradually reduced. By gradually increasing the writing rhythm of low-risk signals and reversely increasing the proportion of signals, a stable risk residence segment is obtained. For stable risk residence segments, the risk level transition amplitude within each time segment is segmented and locked. By fixing the transition amplitude range of high-risk signals and synchronously compressing the transition amplitude of subsequent signals, a continuously dominant risk-dominant trajectory is output. For the risk-dominated trajectory, the signal entry order in the subsequent time advance is offset and rearranged. By delaying the entry position of low-risk signals and strengthening the priority relationship of high-risk signals, a separate writing path is obtained. By using a separate write path, the risk level distribution in continuous time segments is progressively expanded. By extending the residence time of high-risk signals and simultaneously compressing the coverage area of ​​low-risk signals, the key risks are kept continuously visible.

[0007] Preferably, for the evolution of the warning signal over continuous time, by associating the trigger interval value, the amplitude of the risk level transition, and the signal writing frequency, and combining time interval division and risk distribution analysis, the initial location of the high-risk signal and the construction of its coverage trend are completed. The steps are as follows: Record the trigger time of the warning signal and arrange them in chronological order. Extract the adjacent time difference as the warning trigger interval value, identify the risk level and calculate the risk level transition amplitude by the adjacent difference value. At the same time, count the number of signals according to the time interval as the signal writing frequency. Divide the time interval and collect the early warning signals, count the number of times different risk levels occur and calculate the proportion of the total to obtain the signal occupation ratio, and record the corresponding risk level transition amplitude and signal occupation ratio. Traverse the warning signals and compare them with preset thresholds to identify high-risk signals. Select the earliest record in chronological order as the initial occurrence position of the high-risk signal and associate it with the signal occupancy ratio in the corresponding time interval. Record the frequency of signal writing in each time interval, mark the number of times low-risk signals appear and their entry order, calculate the time offset of the initial appearance position of high-risk signals, and arrange them in the corresponding time interval order to construct a coverage trend.

[0008] Preferably, based on the initial location and coverage trend of high-risk signals, the frequency of signal writing within a continuous time segment is adjusted and linked to changes in the signal occupancy ratio to complete the construction and determination of stable risk residence segments. The steps are as follows: Determine the time interval corresponding to the initial location of high-risk signals and divide it into multiple time segments along the time progression. Record the entry time, location, risk level, and entry order of warning signals. Identify the entry path of low-risk signals and count the number of occurrences and time intervals. At the same time, record the signal writing frequency. Adjust the number of low-risk signal writes and change them segment by segment according to a fixed decreasing rule, while keeping the number of high-risk signal writes unchanged, so that the writing rhythm of low-risk signals changes gradually over time. Rearrange the entry order of low-risk signals and divide them into equally spaced position points. Fill the position points according to the original entry order and record the correspondence between the adjusted time position and the original coverage path, as well as the time offset. The number of times high-risk and low-risk signals occur in each time segment is counted, the signal proportion is calculated, and the proportion of high-risk signals is increased segment by segment in chronological order, while the number of low-risk signal records is adjusted. Determine the occurrence of high-risk signals and the relationship between low-risk signal write changes within a continuous time segment, identify stable risk residence segments, and associate the signal distribution path corresponding to the coverage trend.

[0009] Preferably, the low-risk signal entry positions are filled with equally spaced positions according to the original entry order, and the time position after filling is matched with the low-risk signal entry path in the coverage trend and the time offset is recorded item by item. At the same time, the number of high-risk signal writes remains in the original recording state and the corresponding time position does not change.

[0010] Preferably, by combining the characteristics of risk level transition amplitude changes within the stable risk residence zone, and through interval locking and amplitude adjustment processing, a risk-dominant trajectory in continuous time progression is constructed, as follows: The risk level difference between adjacent warning signals is used as the risk level transition amplitude. High-risk signals are identified and their corresponding minimum and maximum values ​​are recorded to determine the transition amplitude range of high-risk signals. The transition amplitude of high-risk signals is compared with the reference range, the range is adjusted, and the transition amplitude of adjacent time segments is checked to update the reference range and continue to perform segmented locking. The position of the transition amplitude of non-high-risk signals is determined and adjusted to a position outside the reference range, while keeping the transition amplitude below the reference range unchanged; Arrange the transition amplitudes of high-risk signals in order of time position and record the corresponding values. At the same time, record the relationship between the transition amplitudes of non-high-risk signals and their corresponding differences. Extract the transition paths of high-risk signals and record the time, location and amplitude values. At the same time, attach a list of transition amplitudes of non-high-risk signals to obtain the risk-dominant trajectory.

[0011] Preferably, during the reference interval update process, when the transition amplitude of a high-risk signal in a continuous time segment is located at the boundary of the reference interval, the minimum and maximum values ​​of the transition amplitude of the high-risk signal in the corresponding time segment are extracted as the new reference interval, and the transition amplitudes of non-high-risk signals are adjusted to the position of the lower limit of the reference interval minus a fixed offset amplitude.

[0012] Preferably, by combining the temporal and positional relationships of the risk-dominant trajectories, and through signal entry sequence offsetting and position rearrangement processing, a separate writing path with preferential distribution of high-risk signals is constructed, as follows: Read the warning signals and arrange them according to time and location, mark the risk level and corresponding location, divide the warning signals into high-risk signals and low-risk signals, record the time and location of high-risk signals, divide the time interval and establish a signal entry sequence record table, divide the corresponding sub-location segments and complete the numbering. Arrange the low-risk signals in the order of entry and their corresponding sub-location segment numbers. Perform offset processing on the sub-location segment numbers of the low-risk signals and adjust them to the end of the time interval, while keeping the sub-location segment numbers of the high-risk signals unchanged. Organize the signal entry order of each time interval and rearrange them according to the sub-position segment number. Place the high-risk signal at the front and record the boundary position. The time interval order is spliced ​​to obtain the separated writing path.

[0013] Preferably, during the offset processing of the low-risk signal sub-location segment number, the offset amount is taken as the number of high-risk signals within the time interval. When the offset result exceeds the maximum number range, it is adjusted to the sub-location segment at the end of the time interval, while keeping the high-risk signal sub-location segment number in the preceding position. At the same time, the sub-location segment number corresponding to the last high-risk signal is used as the dividing position to record the signal distribution path.

[0014] Preferably, by combining the distribution relationship of time intervals and sub-location segments in the separate writing path, and through interval expansion and coverage adjustment processing, the progressive change of risk level distribution is completed and key risks are kept continuously visible. The steps are as follows: Organize the warning signals for each time segment and arrange them according to the sub-location segment number. Extract the corresponding number sets of high-risk signals and low-risk signals, merge them to obtain the high-risk signal occupied interval and the low-risk signal occupied interval, and record the set of idle sub-location segments. Extend the high-risk signal occupied interval, read the end number and select an empty sub-position segment to include in the occupied interval. If there is no empty sub-position segment, extend to the smallest unoccupied sub-position segment of the next time segment. Adjust the low-risk signal occupied range, remove the sub-location segment numbers that overlap with the high-risk signal occupied range, and redistribute the remaining low-risk signals to the unoccupied sub-location segments according to the entry order; Combine and record the high-risk signal-occupied intervals and low-risk signal-occupied intervals of each time segment, splice them together in chronological order, and record the continuous relationship between adjacent time segments; Record the start and end numbers of the high-risk signal-occupied intervals for each time segment, maintain a continuous connection, and restrict the low-risk signal-occupied intervals to follow, thus obtaining the state of continuous visibility of key risks.

[0015] The production management system for air conditioning components in new energy vehicles includes a signal modeling module, a dynamic control module for write frequency, a risk locking module, a signal sequence offset rearrangement module, and a dwell and maintenance module. The signal modeling module collects early warning trigger intervals, risk level transition amplitudes, and signal writing frequency during the production management of air conditioning components for new energy vehicles. It then characterizes the proportion of signals within continuous time segments over time and marks the initial location of high-risk signals and their corresponding coverage trends. The frequency dynamic control module writes signals based on the initial location and coverage trend of high-risk signals. It reduces the frequency of signal writing within the corresponding time segment, gradually increases the writing rhythm of low-risk signals, and reverses the proportion of signals occupied to obtain a stable risk residence segment. The risk locking module performs segmented locking on the risk level transition amplitude within each time segment for stable risk residence areas. By fixing the transition amplitude range of high-risk signals and synchronously compressing the transition amplitude of subsequent signals, it outputs a continuously dominant risk-driven trajectory. The signal order offset and rearrangement module, oriented towards the risk-dominant trajectory, performs offset and rearrangement on the entry order of signals in subsequent time progression. By delaying the entry position of low-risk signals and strengthening the priority relationship of high-risk signals, a separate writing path is obtained. The dwell time maintenance module uses a separate write path to progressively expand the risk level distribution in continuous time segments. By extending the dwell time of high-risk signals and simultaneously compressing the coverage area of ​​low-risk signals, it maintains the continuous visibility of key risks.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention collects early warning trigger intervals, risk level transition amplitudes, and signal writing frequencies in a unified manner, and characterizes the signal occupancy ratio within continuous time segments over time. It also identifies the initial location and coverage trend of high-risk signals, enabling a continuous and correlated expression of risk information over time. This avoids the problem of high-risk states being covered or weakened during subsequent signal updates. Furthermore, by decreasing the traction signal writing frequency and reverse-increasing the signal occupancy ratio, high-risk signals remain stable in the time series, resulting in a more accurate expression of risk status. This provides a reliable basis for subsequent production scheduling and reduces production rhythm fluctuations caused by risk identification biases.

[0017] This invention achieves segmented locking of risk level transition amplitudes within stable risk residence zones, combined with synchronous compression of subsequent signal transition amplitudes, forming a continuously dominant risk-driven trajectory. Simultaneously, it offsets and rearranges the signal entry order to obtain separate writing paths, and further extends the residence time of high-risk signals and compresses the coverage area of ​​low-risk signals by progressively expanding the risk level distribution. This ensures that critical risks remain visible throughout the continuous time progression, thereby preventing anomalies from being delayed in identification and amplified during production, and improving the stability and quality control capabilities of the production process. Attached Figure Description

[0018] 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.

[0019] Figure 1 This is a flowchart of the production management method for air conditioning components of new energy vehicles according to the present invention.

[0020] Figure 2 This is a schematic diagram of the production management system for air conditioning components of new energy vehicles according to the present invention. Detailed Implementation

[0021] 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.

[0022] This invention provides, for example Figure 1 The production management method for air conditioning components in new energy vehicles, as shown, includes the following steps: In the production management of air conditioning components for new energy vehicles, the warning trigger interval, risk level transition amplitude and signal writing frequency are collected. The proportion of signals occupying the continuous time segment is characterized along the time progression, and the initial occurrence position of high-risk signals and corresponding coverage trends are marked. In the production management of air conditioning components for new energy vehicles, detailed data collection is conducted on early warning trigger intervals, risk level transition amplitudes, and signal writing frequency. The proportion of signals within continuous time segments is then characterized over time. Simultaneously, the initial location of high-risk signals and their corresponding coverage trends are identified. This allows for the continuous expression and detailed presentation of the evolution of early warning information. The specific implementation steps are as follows: Around the various process nodes in the production management of air conditioning components for new energy vehicles, the trigger time of each warning signal is recorded one by one and arranged in chronological order to form a continuous time record sequence; the time difference between the trigger times of two adjacent warning signals is extracted to obtain the corresponding warning trigger interval value, and the risk level corresponding to each warning signal is clearly marked, and the difference between the risk level values ​​of two adjacent warning signals is used as the risk level jump amplitude.

[0023] Regarding the signal writing frequency, a fixed time length is used as the unit of division to divide the continuous time into several equal time intervals. The number of warning signals entering the recording sequence in each time interval is counted, and this number is used as the signal writing frequency of the corresponding time interval. In this process, each warning signal is simultaneously marked with a time location mark, a risk level mark, and a time interval mark, so that the warning trigger interval value, risk level transition amplitude, and signal writing frequency can form a one-to-one correspondence on a unified time axis, thereby constructing a continuous recording structure with clear time sequence and numerical attributes.

[0024] The continuous recording structure is divided into continuous time segments along the time progression direction, dividing the time axis into multiple time intervals of equal length. Within each time interval, the incoming warning signals are collected and processed one by one. For each time interval, the occurrence frequency of warning signals of different risk levels is counted, and the ratio between the occurrence frequency of each risk level and the total number of warning signals in that time interval is calculated. This ratio is used as the proportion of signals of the corresponding risk level in that time interval.

[0025] Based on this, the risk level transition amplitude is introduced into the time interval, and the risk level change of each warning signal is marked item by item. This allows each time interval to record not only the proportion of each risk level, but also the magnitude of the risk level change over time. By storing the risk level transition amplitude in correspondence with the signal occupancy ratio, the time interval contains both signal distribution information and risk change information, thereby completing a quantitative characterization of the signal occupancy ratio within a continuous time segment.

[0026] Based on the proportion of signals generated in each time interval and the amplitude of risk level transitions, the warning signals on the time axis are traversed one by one. The risk level of each warning signal is compared with the pre-set risk level threshold. When the risk level reaches or exceeds the threshold, the warning signal is marked as a high-risk signal.

[0027] For all records identified as high-risk signals, they are sorted chronologically, and the record with the earliest time position is selected as the initial location of the high-risk signal. At the same time, the time interval number of the time position is recorded. In this process, the initial location of the high-risk signal is associated with the signal occupancy ratio in the corresponding time interval, so that the location not only represents the time start point, but also reflects the distribution of signals of various risk levels in the time interval, thus obtaining the initial location result of the high-risk signal that includes the time position and the signal occupancy ratio.

[0028] Starting from the initial location of the high-risk signal, the signal writing situation in each subsequent time interval is analyzed segment by segment along the time progression direction. The changes in the frequency of signal writing in each time interval are continuously recorded, and the occurrence, entry order, and corresponding time position of the low-risk signal in each time interval are marked item by item.

[0029] Based on this, the entry position of the low-risk signal on the time axis is compared with the initial appearance position of the high-risk signal to calculate the time offset of the low-risk signal relative to the high-risk signal. The offsets in each time interval are then arranged continuously in chronological order to construct the coverage path of the low-risk signal over the high-risk signal. Simultaneously, the changes in the signal occupancy ratio and the signal writing frequency in each time interval are recorded synchronously. By arranging the time interval order, the changes in the signal occupancy ratio, and the time offset accordingly, a continuous coverage trend expression structure is formed. This structure can reflect the coverage relationship and change trajectory of the low-risk signal over the high-risk signal as time progresses, using time intervals as units, thus obtaining a complete coverage trend description corresponding to the initial appearance position of the high-risk signal.

[0030] Based on the initial location and coverage trend of high-risk signals, the signal writing frequency within the corresponding time segment is gradually reduced. By gradually increasing the writing rhythm of low-risk signals and reversely increasing the signal occupancy ratio, a stable risk residence segment is obtained. To prevent low-risk signals from continuously covering high-risk signals over a sustained period, a stable risk retention zone is constructed by strategically utilizing the initial location and coverage trend of high-risk signals, gradually decreasing the signal writing frequency within the corresponding time segment, and simultaneously increasing the signal occupancy ratio. The specific implementation steps are as follows: Around the initial location of a high-risk signal, the time interval corresponding to that location is determined as the processing starting point. Using this time interval as the starting interval, multiple time segments are continuously selected along the time progression direction, with each time segment maintaining a consistent time span, for example, dividing the time into consecutive time intervals of fixed duration. Warning signals within each time segment are read one by one, recording the entry time, risk level, and entry order of each warning signal, and arranged in chronological order. Simultaneously, combining the entry paths of low-risk signals recorded in the coverage trend, the entry locations of low-risk signals within each time segment are individually marked, and the number of occurrences of low-risk signals within each time segment and the time interval between two adjacent low-risk signals are counted. This time interval is used as the representation value of the low-risk signal distribution spacing.

[0031] Furthermore, the signal writing frequency within each time segment is defined as the number of all warning signals within that time segment, and stored in correspondence with the occurrence frequency of low-risk signals, so that a segment-by-segment correspondence is formed between the initial occurrence location of high-risk signals, the coverage trend, and the signal writing frequency within each time segment.

[0032] Based on the recorded signal writing frequency within each time segment, a decreasing pull processing is performed on the writing frequency of low-risk signals. The number of low-risk signal writes in the initial interval is used as a reference value, and the number of low-risk signal writes in each subsequent time segment is adjusted according to a fixed decreasing rule. The fixed decreasing rule is as follows: between two adjacent time segments, the number of low-risk signal writes in the later time segment is reduced by a preset number relative to the previous time segment. This preset number is a positive integer and remains unchanged. When the number of low-risk signal writes in a certain time segment decreases to the minimum allowable value, the minimum allowable value is maintained in subsequent time segments and no further reduction is made.

[0033] While implementing the decreasing traction, the number of writes within the time segment containing high-risk signals remains unchanged, thus keeping the writing rhythm of high-risk signals stable within consecutive time segments. This causes the distribution density of low-risk signals to gradually decrease in the direction of time progression according to a fixed rule.

[0034] Based on the number of low-risk signal writes after decreasing traction, the entry order of low-risk signals in each time segment is rearranged. The time range of each time segment is divided into several equally spaced position points according to the time length. Based on the number of low-risk signal writes in the time segment, the low-risk signals are sequentially assigned to these equally spaced position points to keep the time interval between adjacent low-risk signals consistent. During the assignment process, each position point is filled sequentially according to the original entry order of the low-risk signals to avoid signal overlap, while keeping the time position of high-risk signals unchanged.

[0035] For the low-risk signal coverage path identified in the coverage trend, the time position of the rearranged low-risk signal is matched with the time position in the original coverage path item by item, and the time offset between the two is recorded so that the writing rhythm adjustment result of the low-risk signal can be expressed in the form of time offset, thereby realizing the gradual expansion of the writing rhythm of the low-risk signal.

[0036] Based on the distribution results after the low-risk signal writing rhythm is staggered, the signal occupancy ratio in each time segment is reversed and increased. By re-counting the occurrence times of high-risk signals and low-risk signals in each time segment, the ratio of the occurrence times of high-risk signals to the total number of signals in that time segment is taken as the high-risk signal occupancy ratio, and the ratio of the occurrence times of low-risk signals is taken as the low-risk signal occupancy ratio.

[0037] In continuous time segments, the proportion of high-risk signals is progressively increased according to time sequence. The rule is as follows: when the proportion of high-risk signals in two adjacent time segments does not reach the preset ratio, the number of low-risk signals recorded in that time segment is reduced, so that the proportion of high-risk signals gradually increases in subsequent time segments, and the proportion of high-risk signals in each time segment is greater than the proportion of low-risk signals, so that high-risk signals form a continuously dominant distribution in continuous time segments.

[0038] Based on the combined results of decreasing signal writing frequency, rearrangement of low-risk signal writing rhythm, and reverse increase in signal occupancy ratio, continuous time segments are uniformly judged and classified as stable risk residence segments if they meet the following conditions: within the continuous time segment, high-risk signals appear at least once in each time segment, and the number of occurrences of high-risk signals is greater than the number of occurrences of low-risk signals. At the same time, the number of low-risk signal writes in adjacent time segments maintains a non-increasing relationship according to the decreasing traction rule, and the distribution interval of low-risk signals on the time axis remains consistent.

[0039] The initial time segment of the high-risk signal is taken as the starting boundary of the segment, and the continuous time range that meets the above conditions is identified as the complete segment. At the same time, the signal distribution path within the corresponding time range in the coverage trend is used as the change description of the segment, thereby completing the construction and clear expression of the stable risk residence segment.

[0040] For stable risk residence segments, the risk level transition amplitude within each time segment is segmented and locked. By fixing the transition amplitude range of high-risk signals and synchronously compressing the transition amplitude of subsequent signals, a continuously dominant risk-dominant trajectory is output. To ensure the dominant expression of high-risk signals during continuous time progression, the risk level transition amplitudes within stable risk residence zones are segmented and locked, and the transition amplitudes of subsequently entering signals are synchronously compressed, thereby forming a continuous and consistent risk-dominant trajectory. The specific implementation steps are as follows: Within the continuous time segments of the stable risk residence zone, the warning signals in each time segment are read one by one in the order of entry time. The risk level difference between two adjacent warning signals is recorded as the risk level transition amplitude, and each transition amplitude is marked with a time location and the time segment to which it belongs.

[0041] Within each time segment, all transition amplitudes are arranged in chronological order, and the transition amplitudes corresponding to warning signals whose risk levels reach the preset high-risk level range are marked. At the same time, the minimum and maximum values ​​of the high-risk signal transition amplitudes within that time segment are extracted, and these minimum and maximum values ​​constitute the high-risk signal transition amplitude range for that time segment. In the initial time segment of the stable risk residence zone, its high-risk signal transition amplitude range is determined as the initial reference range, and this reference range is recorded so that subsequent time segments have a unified comparison range.

[0042] Based on the initial reference interval, segmented locking processing is performed on the transition amplitudes of high-risk signals in subsequent time segments within the stable risk residence zone. The transition amplitudes of high-risk signals in each time segment are compared one by one along the time progression direction. When a transition amplitude is within the range of the initial reference interval, its original value remains unchanged. When a transition amplitude exceeds the upper limit of the initial reference interval, the transition amplitude is adjusted to the upper limit value of the initial reference interval. When a transition amplitude is lower than the lower limit of the initial reference interval, the transition amplitude is adjusted to the lower limit value of the initial reference interval.

[0043] Meanwhile, during continuous time progression, every three adjacent time segments are checked. When the high-risk signal transition amplitude is continuously located at the boundary of the initial reference interval in the latter two time segments, a new reference interval is redefined using the minimum and maximum values ​​of the high-risk signal transition amplitude in the two time segments. This new reference interval replaces the initial reference interval and continues to perform segmented locking, enabling the reference interval to be updated during continuous time progression.

[0044] Around the high-risk signal transition amplitude range after segmented locking processing, synchronous compression processing is performed on the non-high-risk signal transition amplitudes in all time segments within the stable risk residence segment. In each time segment, the positional relationship between the non-high-risk signal transition amplitude and the current reference interval is determined. When the non-high-risk signal transition amplitude is within the reference interval range, it is adjusted to the position of the lower limit of the reference interval minus a fixed offset amplitude.

[0045] When the transition amplitude of a non-high-risk signal is higher than the upper limit of the reference interval, it is adjusted to the position of the upper limit of the reference interval minus the same fixed offset amplitude; when the transition amplitude of a non-high-risk signal is lower than the lower limit of the reference interval, the original value remains unchanged; the fixed offset amplitude is defined as half of the difference between the current upper limit and lower limit of the reference interval, and remains unchanged within the effective range of the same reference interval, thereby ensuring that the transition amplitude of non-high-risk signals is distributed outside the reference interval and forms an interval separation with the transition amplitude of high-risk signals.

[0046] Based on the risk level transition amplitudes of each time segment after segmented locking and synchronous compression processing, the risk change trajectory within the stable risk residence zone is uniformly expressed. The high-risk signal transition amplitudes within each time segment are arranged sequentially according to time, and a continuously arranged numerical list is formed using time position as an index. This numerical list records the high-risk signal transition amplitude corresponding to each time position in chronological order, thus forming the high-risk signal transition path.

[0047] Meanwhile, the transition amplitudes of non-high-risk signals within each time segment, after compression, are arranged in the same time position to form another set of numerical lists. The difference between each value in this list and the corresponding value in the transition path of the high-risk signal is recorded, so that the two sets of lists form a separate structure on the same time axis, thereby achieving a unified representation of the risk change trajectory.

[0048] Based on the numerical list representation, the transition paths of high-risk signals in each time segment within the stable risk residence zone are extracted as a whole. This path is output as the risk-dominant trajectory and recorded in the form of continuous time position index and corresponding transition amplitude value pairs. Only the transition amplitudes of high-risk signals within the reference interval are retained as the constituent elements of the dominant trajectory. At the same time, the list of transition amplitudes of non-high-risk signals is added as an auxiliary trajectory. This makes the output result include both the stable changes of high-risk signals in continuous time progression and the distribution of non-high-risk signals in the amplitude dimension, thus obtaining the continuously dominant risk trajectory.

[0049] For the risk-dominated trajectory, the signal entry order in the subsequent time advance is offset and rearranged. By delaying the entry position of low-risk signals and strengthening the priority relationship of high-risk signals, a separate writing path is obtained. To ensure the continued dominance of the risk-driven trajectory in subsequent time progression, a separate write path is constructed by offsetting and rearranging the signal entry order, delaying the entry position of low-risk signals, and maintaining the priority of high-risk signals. The specific implementation steps are as follows: Based on the established risk-dominant trajectory, each warning signal within the subsequent time range is read and arranged from front to back according to its time position. The risk level, entry time, and corresponding position within the risk-dominant trajectory for each warning signal are marked. During this marking process, warning signals with a risk level reaching the preset high-risk range are classified as high-risk signals, and the rest as low-risk signals. The time position of high-risk signals within the risk-dominant trajectory is locked and recorded, ensuring that this time position remains unchanged during subsequent processing. Simultaneously, the entire subsequent time range is divided into consecutive time intervals of fixed length. Each time interval includes a start time position and an end time position. A signal entry sequence record table is established within each time interval, recording the entry position and risk level of all warning signals in chronological order.

[0050] Furthermore, the total number of warning signals within each time interval is used as the basis for division. The time interval is divided into sub-location segments with the same number of warning signals. Each sub-location segment is then numbered sequentially according to time, so that each sub-location segment corresponds to a unique time range, thereby providing a definite mapping basis for subsequent signals to enter the location offset.

[0051] Based on the sub-location segments already divided within each time interval, the entry position of low-risk signals is delayed. In each time interval, the low-risk signals are first arranged according to the original entry order, and then mapped one-to-one with the sub-location segment numbers according to the entry order, so that the first low-risk signal entering corresponds to the smallest allocable sub-location segment in the current time interval, and subsequent low-risk signals correspond to the sub-location segments with subsequent numbers in turn.

[0052] After the initial mapping is completed, the sub-location segment numbers of all low-risk signals are uniformly offset backward. The offset method is as follows: the sub-location segment number corresponding to each low-risk signal is increased by a fixed offset amount, which is equal to the number of high-risk signals in the time interval and remains unchanged within the time interval. When the sub-location segment number of a low-risk signal after offset exceeds the maximum number range of the current time interval, it is adjusted to the last sub-location segment of the time interval. At the same time, during the offset process, the sub-location segment numbers corresponding to high-risk signals remain unchanged and are given priority to occupy the sub-location segments with earlier numbers, so that the low-risk signals move backward as a whole within the time interval and are always located after the high-risk signals.

[0053] Based on the low-risk signal entry positions after offset processing and the unchanged high-risk signal time positions, the signal entry order within each time interval is rearranged as a whole. Within each time interval, all high-risk signals are first arranged in ascending order according to the sub-position segment numbers corresponding to their original time positions, so that high-risk signals are concentrated at the beginning of the time interval. Then, all low-risk signals are arranged in ascending order according to their offset sub-position segment numbers, and they are sequentially filled into the sub-position segments after the high-risk signals, ensuring that the sub-position segment number corresponding to any low-risk signal is greater than the sub-position segment numbers corresponding to all high-risk signals. Within each time interval, the sub-position segment number corresponding to the last high-risk signal is used as the boundary position of that time interval, and this boundary position is used as the boundary marker between high-risk signals and low-risk signals.

[0054] After the order of all time intervals is rearranged, the time intervals are continuously spliced ​​together according to the time progression direction. The overall signal distribution path is recorded using the time interval order and the boundary position of each interval as an index. This creates a separate writing path on the entire time axis, in which high-risk signals continuously occupy the front position and low-risk signals are distributed along the time axis, thereby realizing the continuous reinforcement of the risk-dominant trajectory during the time progression.

[0055] By using a separate write path, the risk level distribution in continuous time segments is progressively expanded. By extending the residence time of high-risk signals and simultaneously compressing the coverage area of ​​low-risk signals, the key risks are kept continuously visible. To ensure the continued visibility of key risks throughout continuous time, a progressive expansion of the risk level distribution in continuous time segments is performed using a separate write path, and the residence time of high-risk signals and the coverage area of ​​low-risk signals are coordinated and adjusted to achieve a stable presentation of the risk status. The specific implementation process is as follows: Based on the established time intervals and sub-location segment numbering relationships in the separation and writing path, the continuous time segments are processed one by one. All warning signals in each time segment are sorted in ascending order according to the sub-location segment number, and the sub-location segment number sets occupied by high-risk signals and low-risk signals are extracted respectively. For each time segment, the sub-location segment numbers corresponding to high-risk signals are merged according to the consecutive numbers to form the high-risk signal occupied interval consisting of the start number and the end number. At the same time, the sub-location segment numbers corresponding to low-risk signals are merged into the low-risk signal occupied interval in the same way.

[0056] In this process, the sub-location segments that are not occupied by any signal within each time segment are numbered and recorded as a set of idle sub-location segments. This makes each time segment clearly divided into three categories: high-risk signal occupied interval, low-risk signal occupied interval, and idle sub-location segment set. These are recorded continuously in the order of time segments, thus providing a complete and unique interval basis for progressive expansion.

[0057] Based on the set of high-risk signal occupied intervals and idle sub-location segments within each time segment, the residence time of high-risk signals is extended. In each time segment, the end number of the high-risk signal occupied interval is used as the starting point for extension, and the extension operation is performed backward according to a fixed extension step size. The extension step size is defined as adding only one sub-location segment number each time and keeping it consistent throughout the entire continuous time segment.

[0058] When there is an idle sub-location segment number after the expansion start point, the idle sub-location segment is included in the high-risk signal occupied interval, and the end number is increased by one unit; when there is no idle sub-location segment after the expansion start point, the expansion operation is extended to the next time segment, and the sub-location segment with the smallest number and not occupied is selected as the expansion take-off position in the next time segment, so that the high-risk signal occupied interval continues to extend across the time segment boundary.

[0059] During continuous time progression, the end number of the current time segment after expansion is used as the reference starting point for the expansion of the next time segment, so that the high-risk signal occupying interval forms a continuous expansion path between multiple time segments, thereby achieving a segment-by-segment extension of the residence time of the high-risk signal.

[0060] Based on the results of the expansion of the high-risk signal coverage area, the low-risk signal coverage area is compressed. Within each time segment, the sub-location segment numbers that overlap with the high-risk signal expansion area in the low-risk signal coverage area are removed one by one, and the sub-location segment numbers corresponding to the remaining low-risk signals are reordered according to the original entry order. For the sorted low-risk signals, they are assigned to the sub-location segment numbers that are not occupied by high-risk signals in the current time segment, and filled in order of ascending numbers.

[0061] When a low-risk signal cannot find an available sub-location segment in the current time segment, the low-risk signal is fixedly assigned to the position of the largest numbered sub-location segment in that time segment and no longer moves forward. Through the above processing, the coverage area of ​​the low-risk signal is restricted to the area occupied by the high-risk signal in each time segment, forming a distribution state that concentrates towards the end of the time segment, thereby compressing the coverage area of ​​the low-risk signal.

[0062] Based on the results of the extension of the high-risk signal coverage interval and the compression of the low-risk signal coverage interval, the risk level distribution in continuous time segments is progressively extended. In each time segment, the high-risk signal coverage interval and the low-risk signal coverage interval are combined and recorded in the order of sub-location segment number, and the high-risk signal interval and the low-risk signal interval are recorded in the form of time segment number-start number-end number respectively.

[0063] Along the time progression direction, the high-risk signal occupation intervals between adjacent time segments are connected and judged. When the start number of the later time segment and the end number of the previous time segment satisfy the continuity relationship, it is marked as a continuous expansion interval. At the same time, the low-risk signal occupation interval is always recorded after the high-risk signal occupation interval of the corresponding time segment, so that the risk level distribution forms an interval expression structure that is separated from front to back and expands segment by segment on the time axis.

[0064] Based on the progressively expanded risk level distribution, the continuous visibility of key risks is maintained. This is achieved by uniformly recording the start and end numbers of the high-risk signal-occupied intervals in all time segments, ensuring that the high-risk signal-occupied intervals in any time segment continuously extend from the minimum number of that time segment, and maintaining the cross-segment connection relationship between high-risk signal-occupied intervals between adjacent time segments. This ensures that high-risk signals always occupy the leading position and form a continuous distribution throughout the entire continuous time progression.

[0065] At the same time, the low-risk signal occupation interval is limited to the high-risk signal occupation interval, and by recording the changes in the starting number of the low-risk signal in each time segment, the low-risk signal cannot enter the high-risk signal occupation interval, thereby ensuring that the continuous visibility of the key risk in continuous time segments remains stable.

[0066] This invention collects early warning trigger intervals, risk level transition amplitudes, and signal writing frequencies in a unified manner, and characterizes the signal occupancy ratio within continuous time segments over time. It also identifies the initial location and coverage trend of high-risk signals, enabling a continuous and correlated expression of risk information over time. This avoids the problem of high-risk states being covered or weakened during subsequent signal updates. Furthermore, by decreasing the traction signal writing frequency and reverse-increasing the signal occupancy ratio, high-risk signals remain stable in the time series, resulting in a more accurate expression of risk status. This provides a reliable basis for subsequent production scheduling and reduces production rhythm fluctuations caused by risk identification biases.

[0067] This invention achieves segmented locking of risk level transition amplitudes within stable risk residence zones, combined with synchronous compression of subsequent signal transition amplitudes, forming a continuously dominant risk-driven trajectory. Simultaneously, it offsets and rearranges the signal entry order to obtain separate writing paths, and further extends the residence time of high-risk signals and compresses the coverage area of ​​low-risk signals by progressively expanding the risk level distribution. This ensures that critical risks remain visible throughout the continuous time progression, thereby preventing anomalies from being delayed in identification and amplified during production, and improving the stability and quality control capabilities of the production process.

[0068] This invention provides, for example Figure 2 The production management system for air conditioning components in new energy vehicles, as shown, includes a signal modeling module, a dynamic control module for write frequency, a risk locking module, a signal sequence offset rearrangement module, and a dwell and maintenance module. The signal modeling module collects early warning trigger intervals, risk level transition amplitudes, and signal writing frequency during the production management of air conditioning components for new energy vehicles. It then characterizes the proportion of signals within continuous time segments over time and marks the initial location of high-risk signals and their corresponding coverage trends. The frequency dynamic control module writes signals based on the initial location and coverage trend of high-risk signals. It reduces the frequency of signal writing within the corresponding time segment, gradually increases the writing rhythm of low-risk signals, and reverses the proportion of signals occupied to obtain a stable risk residence segment. The risk locking module performs segmented locking on the risk level transition amplitude within each time segment for stable risk residence areas. By fixing the transition amplitude range of high-risk signals and synchronously compressing the transition amplitude of subsequent signals, it outputs a continuously dominant risk-driven trajectory. The signal order offset and rearrangement module, oriented towards the risk-dominant trajectory, performs offset and rearrangement on the entry order of signals in subsequent time progression. By delaying the entry position of low-risk signals and strengthening the priority relationship of high-risk signals, a separate writing path is obtained. The dwell time maintenance module uses a separate write path to progressively expand the risk level distribution in continuous time segments. By extending the dwell time of high-risk signals and simultaneously compressing the coverage area of ​​low-risk signals, it maintains the continuous visibility of key risks.

[0069] The production management method for air conditioning components of new energy vehicles provided in this embodiment of the invention is implemented through the production management system for air conditioning components of new energy vehicles described above. For details of the specific methods and processes of the production management system for air conditioning components of new energy vehicles, please refer to the embodiment of the production management method for air conditioning components of new energy vehicles described above, which will not be repeated here.

[0070] 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 production management method for air conditioning components of new energy vehicles, characterized in that, Includes the following steps: In the production management of air conditioning components for new energy vehicles, the warning trigger interval, risk level transition amplitude and signal writing frequency are collected. The proportion of signals in continuous time segments is characterized along the time progression, and the initial occurrence position of high-risk signals and corresponding coverage trends are marked. Based on the initial location and coverage trend of high-risk signals, the signal writing frequency within the corresponding time segment is gradually reduced. By gradually increasing the writing rhythm of low-risk signals and reversely increasing the signal occupancy ratio, a stable risk residence segment is obtained. For stable risk residence segments, the risk level transition amplitude within each time segment is segmented and locked. By fixing the transition amplitude range of high-risk signals and synchronously compressing the transition amplitude of subsequent signals, a continuously dominant risk-dominant trajectory is output. For the risk-dominated trajectory, the signal entry order in the subsequent time progression is offset and rearranged. By delaying the entry position of low-risk signals and strengthening the priority relationship of high-risk signals, a separate writing path is obtained. By using a separate write path, a progressive expansion of the risk level distribution in continuous time segments is performed, which extends the residence time of high-risk signals and simultaneously compresses the coverage area of ​​low-risk signals.

2. The production management method for air conditioning components of new energy vehicles according to claim 1, characterized in that, To analyze the evolution of early warning signals over continuous time, the initial location of high-risk signals and their coverage trend are identified by correlating trigger intervals, risk level transition amplitudes, and signal writing frequency, combined with time interval division and risk distribution analysis. The steps are as follows: Record the trigger time of the warning signal and arrange them in chronological order. Extract the adjacent time difference as the warning trigger interval value, identify the risk level and calculate the risk level transition amplitude by the adjacent difference value. At the same time, count the number of signals according to the time interval as the signal writing frequency. Divide the time interval and collect the early warning signals, count the number of times different risk levels occur and calculate the proportion of the total to obtain the signal occupation ratio, and record the corresponding risk level transition amplitude and signal occupation ratio. Traverse the warning signals and compare them with preset thresholds to identify high-risk signals. Select the earliest record in chronological order as the initial occurrence position of the high-risk signal and associate it with the signal occupancy ratio in the corresponding time interval. Record the frequency of signal writing in each time interval, mark the number of times low-risk signals appear and their entry order, calculate the time offset of the initial appearance position of high-risk signals, and arrange them in the corresponding time interval order to construct a coverage trend.

3. The production management method for air conditioning components of new energy vehicles according to claim 2, characterized in that, Based on the initial location and coverage trend of high-risk signals, the frequency of signal writing within continuous time segments is adjusted and linked to changes in the signal occupancy ratio to complete the construction and determination of stable risk residence segments. The steps are as follows: Determine the time interval corresponding to the initial location of high-risk signals and divide it into multiple time segments along the time progression. Record the entry time, location, risk level, and entry order of warning signals. Identify the entry path of low-risk signals and count the number of occurrences and time intervals. At the same time, record the signal writing frequency. Adjust the number of low-risk signal writes and change them segment by segment according to a fixed decreasing rule, while keeping the number of high-risk signal writes unchanged, so that the writing rhythm of low-risk signals changes gradually over time. Rearrange the entry order of low-risk signals and divide them into equally spaced position points. Fill the position points according to the original entry order and record the correspondence between the adjusted time position and the original coverage path, as well as the time offset. The number of times high-risk and low-risk signals occur in each time segment is counted, the signal proportion is calculated, and the proportion of high-risk signals is increased segment by segment in chronological order, while the number of low-risk signal records is adjusted. Determine the occurrence of high-risk signals and the relationship between low-risk signal write changes within a continuous time segment, identify stable risk residence segments, and associate the signal distribution path corresponding to the coverage trend.

4. The production management method for air conditioning components of new energy vehicles according to claim 3, characterized in that, The low-risk signal entry positions are filled with equally spaced positions according to the original entry order, and the time position after filling is matched with the low-risk signal entry path in the coverage trend and the time offset is recorded item by item. At the same time, the number of high-risk signal writes remains unchanged and the corresponding time position does not change.

5. The production management method for air conditioning components of new energy vehicles according to claim 3, characterized in that, Based on the characteristics of risk level transition amplitude changes within the stable risk residence zone, and through interval locking and amplitude adjustment, a risk-dominant trajectory in continuous time progression is constructed, as follows: The risk level difference between adjacent warning signals is used as the risk level transition amplitude. High-risk signals are identified and their corresponding minimum and maximum values ​​are recorded to determine the transition amplitude range of high-risk signals. The transition amplitude of high-risk signals is compared with the reference range, the range is adjusted, and the transition amplitude of adjacent time segments is checked to update the reference range and continue to perform segmented locking. The position of the transition amplitude of non-high-risk signals is determined and adjusted to a position outside the reference range, while keeping the transition amplitude below the reference range unchanged; Arrange the transition amplitudes of high-risk signals in order of time position and record the corresponding values. At the same time, record the relationship between the transition amplitudes of non-high-risk signals and their corresponding differences. Extract the transition paths of high-risk signals and record the time, location and amplitude values. At the same time, attach a list of transition amplitudes of non-high-risk signals to obtain the risk-dominant trajectory.

6. The production management method for air conditioning components of new energy vehicles according to claim 5, characterized in that, During the reference interval update process, when the transition amplitude of a high-risk signal in a continuous time segment is located at the boundary of the reference interval, the minimum and maximum values ​​of the transition amplitude of the high-risk signal in the corresponding time segment are extracted as the new reference interval, and the transition amplitude of non-high-risk signals is adjusted to the position of the lower limit of the reference interval minus the fixed offset amplitude.

7. The production management method for air conditioning components of new energy vehicles according to claim 5, characterized in that, By combining the temporal and positional relationships of the risk-dominant trajectories, and through signal entry sequence offsetting and position rearrangement processing, a separate writing path is constructed to prioritize the distribution of high-risk signals. The steps are as follows: Read the warning signals and arrange them according to time and location, mark the risk level and corresponding location, divide the warning signals into high-risk signals and low-risk signals, record the time and location of high-risk signals, divide the time interval and establish a signal entry sequence record table, divide the corresponding sub-location segments and complete the numbering. Arrange the low-risk signals in the order of entry and their corresponding sub-location segment numbers. Perform offset processing on the sub-location segment numbers of the low-risk signals and adjust them to the end of the time interval, while keeping the sub-location segment numbers of the high-risk signals unchanged. Organize the signal entry order of each time interval and rearrange them according to the sub-position segment number. Place the high-risk signal at the front and record the boundary position. The time interval order is spliced ​​to obtain the separated writing path.

8. The production management method for air conditioning components of new energy vehicles according to claim 7, characterized in that, During the offset processing of the low-risk signal sub-location segment number, the offset amount is taken as the number of high-risk signals within the time interval. When the offset result exceeds the maximum number range, it is adjusted to the sub-location segment at the end of the time interval, while keeping the high-risk signal sub-location segment number in the preceding position. At the same time, the sub-location segment number corresponding to the last high-risk signal is used as the dividing position to record the signal distribution path.

9. The production management method for air conditioning components of new energy vehicles according to claim 7, characterized in that, By combining the distribution relationships of time intervals and sub-location segments in the separate write path, and through interval expansion and coverage adjustment, the progressive changes in risk level distribution are completed while maintaining the continuous visibility of key risks. The steps are as follows: Organize the warning signals for each time segment and arrange them according to the sub-location segment number. Extract the corresponding number sets of high-risk signals and low-risk signals, merge them to obtain the high-risk signal occupied interval and the low-risk signal occupied interval, and record the set of idle sub-location segments. Extend the high-risk signal occupied interval, read the end number and select an empty sub-position segment to include in the occupied interval. If there is no empty sub-position segment, extend to the smallest unoccupied sub-position segment of the next time segment. Adjust the low-risk signal occupied range, remove the sub-location segment numbers that overlap with the high-risk signal occupied range, and redistribute the remaining low-risk signals to the unoccupied sub-location segments according to the entry order; Combine and record the high-risk signal-occupied intervals and low-risk signal-occupied intervals of each time segment, splice them together in chronological order, and record the continuous relationship between adjacent time segments; Record the start and end numbers of the high-risk signal-occupied intervals for each time segment, maintain a continuous connection, and restrict the low-risk signal-occupied intervals to follow, thus obtaining the state of continuous visibility of key risks.

10. A production management system for air conditioning components of new energy vehicles, used to implement the production management method for air conditioning components of new energy vehicles as described in any one of claims 1-9, characterized in that, It includes a signal modeling module, a write frequency dynamic adjustment module, a risk locking module, a signal order offset rearrangement module, and a dwell and maintenance module. The signal modeling module collects early warning trigger intervals, risk level transition amplitudes, and signal writing frequency during the production management of air conditioning components for new energy vehicles. It then characterizes the proportion of signals within continuous time segments over time and marks the initial location of high-risk signals and their corresponding coverage trends. The frequency dynamic control module writes signals based on the initial location and coverage trend of high-risk signals. It reduces the frequency of signal writing within the corresponding time segment, gradually increases the writing rhythm of low-risk signals, and reverses the proportion of signals occupied to obtain a stable risk residence segment. The risk locking module performs segmented locking on the risk level transition amplitude within each time segment for stable risk residence areas. By fixing the transition amplitude range of high-risk signals and synchronously compressing the transition amplitude of subsequent signals, it outputs a continuously dominant risk-driven trajectory. The signal order offset and rearrangement module, oriented towards the risk-dominant trajectory, performs offset and rearrangement on the entry order of signals in subsequent time progression. By delaying the entry position of low-risk signals and strengthening the priority relationship of high-risk signals, a separate writing path is obtained. The dwell time maintenance module utilizes a separate write path to progressively expand the risk level distribution in continuous time segments by extending the dwell time of high-risk signals and simultaneously compressing the coverage area of ​​low-risk signals.

Images