A method for controlling the electric heating of graphene electric heating film

Abstract

This invention belongs to the field of intelligent heating control technology, specifically disclosing a graphene electric heating film heating control method. The method includes: dynamically determining the activity range of personnel and dividing the heating area based on the electric heating film pressure signal; setting a preliminary target temperature for each area by combining indoor and outdoor temperatures with a preset target; correcting the preliminary target temperature of all membrane blocks in the neighborhood according to a collaborative rule to obtain the final target temperature; executing heating and collecting measured temperatures, evaluating the heating qualification to identify abnormal membrane blocks; performing abnormal root cause determination based on abnormal membrane blocks and their neighborhood information and generating results. This invention dynamically divides the activity area and inactive area by pressure signal, achieving adaptive tracking of personnel activity during heating, solving the contradiction between idle heating in unoccupied areas and insufficient heating in occupied areas; and improving the uniformity of the thermal environment and the long-term operational reliability of the system through temperature field collaborative smoothing and intelligent anomaly diagnosis.

Description

Technical Field

[0001] This invention belongs to the field of intelligent heating control technology and relates to a graphene electric heating film heating electric heating control method. Background Technology

[0002] With the rapid development of green building and smart home technologies, the requirements for building heating systems in terms of energy efficiency, comfort, and intelligence are increasing. Graphene electrothermal film, as a highly efficient, uniform, and flexibly deployable electrothermal conversion material, has shown significant advantages in the field of radiant heating. It features rapid response and easy independent control in different areas, providing a solid hardware foundation for building personalized and refined energy-saving heating systems.

[0003] However, achieving true on-demand heating and intelligent control relies not only on high-performance heating materials but, more importantly, on advanced control methods. For example, Chinese invention patent CN120692704A discloses a graphene heating system and method for automotive rearview mirrors. This system divides the graphene heating film into several independently controlled heating zones and determines fogging conditions by collecting environmental temperature and humidity information. It then targets and heats the identified fogging areas to achieve energy-saving defogging. This technology embodies the initial idea of ​​zoned control based on environmental perception.

[0004] For example, Chinese invention patent CN110461050A discloses a graphene electric blanket and a temperature control method. By combining the heating wire and the temperature detection wire into one, and using time-sharing detection of the heating wire voltage, it achieves closed-loop control of the overall temperature, aiming to simplify the structure and optimize the temperature control effect. This technology represents a typical overall temperature control scheme in heating applications close to the human body.

[0005] The existing technologies mentioned above have the following shortcomings: 1. Existing technologies mainly rely on environmental information for zoned heating. However, in building heating scenarios, heat demand comes directly from the dynamic and discrete activities of people indoors, which leads to continuous heating of unoccupied areas, resulting in energy waste. At the same time, it is impossible to provide sufficient heat compensation to the actual activity areas of people in a timely and accurate manner.

[0006] 2. The core of the existing technology focuses on setting and responding to the temperature of the whole or fixed zones, but lacks an active coordination and smoothing mechanism for the temperature field between adjacent independent heating areas, which affects the uniformity of the overall thermal environment. At the same time, it lacks closed-loop diagnosis of the system's own working status. When the temperature rise of a local area is not up to standard due to environmental interference or diaphragm abnormalities, the system can only perform simple over-temperature protection or overall adjustment, and cannot correct the temperature, thus limiting the reliability of the system in complex operating environments. Summary of the Invention

[0007] In view of this, in order to solve the problems mentioned in the background technology, a graphene electric heating film heating electric heating control method is proposed.

[0008] The objective of this invention can be achieved through the following technical solution: This invention provides a graphene electric heating film heating electric heating control method, including: S1, dynamically determining the range of personnel activity based on the signal of the pressure sensor of the outer packaging layer of the electric heating film, and dividing the electric heating film block into a set of personnel activity areas and a set of non-personnel activity areas accordingly.

[0009] S2. Obtain the indoor and outdoor ambient temperatures, and combine them with the preset target temperatures to set preliminary target temperatures for the group of people's activity areas and the group of non-people's activity areas respectively.

[0010] S3. Based on the preliminary target temperature of each electric heating film block and all electric heating film blocks in its surrounding preset neighborhood, the preliminary target temperature is corrected according to the preset neighborhood temperature coordination rule to obtain the final target temperature.

[0011] S4. Perform a heating operation based on the final target temperature. After reaching a thermally stable state, collect the measured surface temperature of each heating film block and, in conjunction with its final target temperature, evaluate the heating qualification of each heating film block and identify heating film blocks with abnormal heating.

[0012] S5. Based on the heating qualification and measured surface temperature of the abnormal heating film block and all heating film blocks in the preset neighborhood, perform abnormal root cause determination and generate abnormal determination results.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention dynamically determines the range of personnel activity based on pressure signals, and divides the electric heating film block into a set of personnel activity area and non-personnel activity area accordingly, thereby realizing the accurate identification of personnel trajectory, and thus realizing the adaptive tracking of personnel activity in the heating area, solving the contradiction between the energy wastage in the uninhabited area and the insufficient heating in the occupied area caused by the inability to effectively distinguish between personnel and static objects.

[0014] (2) This invention calculates the fluctuation characteristics of the pressure signal sequence and compares them with the biometric threshold, effectively distinguishing the pressure signals of personnel from static interference objects. This reduces the false triggering and energy waste caused by misjudging static interference objects as personnel, while ensuring the continuity of heating when personnel are stationary, thereby improving the accuracy of personnel perception.

[0015] (3) This invention constructs a mapping relationship between demand temperature difference and correction value based on historical operating data, and calculates the initial target temperature of the personnel activity area accordingly. This overcomes the limitations of relying on fixed empirical formulas or single environmental parameters for temperature setting, and realizes dynamic correction of the target temperature, thereby improving the environmental adaptability of the control system.

[0016] (4) The present invention smooths the initial target temperature through neighborhood temperature coordination rules, effectively reducing the temperature gradient between adjacent blocks and improving the temperature uniformity of the entire heating space. At the same time, by distinguishing abnormal types such as local faults and environmental interference, and generating differentiated responses such as global temperature compensation commands or discrete fault alarms, the reliability of the system in long-term operation is improved. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram showing the connections between the steps of the method of the present invention.

[0019] Figure 2 This is a schematic diagram showing the steps of implementing step S3 of the present invention.

[0020] Figure 3 This is a schematic diagram showing the connection steps for generating the anomaly determination result of the present invention.

[0021] Figure 4 This is a schematic diagram of the graphene electrothermal film of the present invention.

[0022] Reference numerals: 1. Upper insulating encapsulation layer; 2. Positive electrode layer; 3. Support layer; 4. Negative electrode layer; 5. Lower insulating encapsulation layer. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please see Figure 1 and Figure 4 As shown, the present invention provides a graphene electric heating film heating electric heating control method, the method comprising: S1, dynamically determining the range of personnel activity based on the signal of the pressure sensor of the outer packaging layer of the electric heating film, and thereby dividing the electric heating film block into a set of personnel activity areas and a set of non-personnel activity areas.

[0025] It should be noted that the pressure sensor for the outer packaging layer of the electrothermal film refers to a device whose sensing unit is disposed on the surface of the outer packaging layer structure of the electrothermal film, used to sense the pressure on the packaging layer. Specifically, it is configured as follows: a flexible pressure-sensitive unit is attached to the surface of the electrothermal film after packaging.

[0026] Preferably, step S1 is implemented by: acquiring the pressure signal of each electrothermal film block in the current processing cycle and comparing it with a preset pressure signal threshold.

[0027] The current processing cycle refers to the complete working cycle of the system controller running at fixed time intervals. The duration of the processing cycle is a preset system parameter, which needs to take into account the real-time requirements of the system control response. As a typical implementation, the cycle duration can be configured to be between 0.5 seconds and 5 seconds.

[0028] Furthermore, the preset pressure signal threshold can be obtained through experimental calibration in the following scenario: Taking a yurt heating application as an example, firstly, the pressure signal of the heating film corresponding to static furnishings such as low tables and cabinets is recorded when no one is present, and the maximum statistical value of all data is taken as the upper limit of static interference. Subsequently, the pressure signal of the pressure film is recorded when a person is sitting still in a typical posture, and the minimum statistical value is taken as the lower limit of the person signal. The pressure signal threshold should be located between the upper limit of static interference and the lower limit of the person signal; for example, the arithmetic mean of the two can be taken as the pressure signal threshold. This method effectively avoids misidentifying furniture as people while ensuring reliable detection of stationary people.

[0029] If a pressure signal greater than the preset pressure signal threshold exists within the current processing cycle, the heating film block is determined to be a suspected human activity heating film block, and a set of suspected human activity film blocks is constructed accordingly.

[0030] Correspondingly, if the pressure signal of the electric heating film block is less than or equal to the preset pressure signal threshold during the current processing cycle, it is determined that the electric heating film block is not suspected of human activity and will not be included in the set of film blocks suspected of human activity.

[0031] Spatial clustering is performed on the collection of suspected human activity membrane blocks, and suspected human activity membrane blocks whose spatial distance is less than or equal to a preset adjacency threshold are aggregated into connected regions.

[0032] The specific implementation of spatial clustering of the suspected personnel activity membrane block set includes: calculating the spatial distance between any two suspected personnel activity membrane blocks in the set based on the known laying position coordinates of each suspected personnel activity membrane block; then, using the preset adjacency threshold as the judgment criterion, marking suspected personnel activity membrane blocks whose spatial distance between them is less than or equal to the threshold as adjacency; and finally, aggregating all suspected personnel activity membrane blocks that are connected by adjacency into a connected region.

[0033] It should be noted that the preset adjacency threshold is used to determine whether two suspected human activity heating film blocks are adjacent in spatial clustering. The method for setting this threshold includes: based on the physical side length L of a single heating film block, initially setting the adjacency threshold to L×K, where K is a coefficient between 1.5 and 2.0, preferably 1.5. The preset adjacency threshold ensures that film blocks that are physically in direct or indirect contact can be clustered.

[0034] For isolated membrane blocks that are identified as not clustered with other suspected human activity membrane blocks after spatial clustering, the pressure signal sequence of the membrane block in N consecutive cycles is obtained, and its fluctuation characteristic is calculated. As an example, in this embodiment, the standard deviation of the sequence is calculated as the fluctuation characteristic.

[0035] Wherein, N is a positive integer preset based on the system processing cycle and the micro-movement characteristics of human physiology, usually between 3 and 10, to ensure that the observation time is sufficient to cover brief accidental interference.

[0036] If the fluctuation characteristic quantity is greater than or equal to the preset biometric threshold, the signal is determined to originate from a person and is marked as a connected region. This connected region also constitutes a candidate person's presence area. Otherwise, it is determined to be a static interference and is excluded.

[0037] It should be understood that the preset biometric threshold is used to determine whether a continuous pressure signal contains unique rhythmic micro-movements generated by human physiological activities, which are distinct from the compression of a static object.

[0038] In one specific embodiment, the preset biometric threshold is obtained through the following experiment: For example, in a yurt heating application scenario, pressure signal sequences generated by the electric heating film are collected under known static conditions (person at rest) and under known static interference pressure. For each signal sequence, the standard deviation of the signal is calculated as a fluctuation characteristic. The statistical lower limit, such as the 5th percentile, is taken for the fluctuation characteristic under all static conditions, and denoted as... For all static disturbance states, the upper statistical limit of the fluctuation characteristics is taken, such as the 95th percentile, and denoted as . Therefore, the biometric threshold is set within a certain range. The preferred value is the middle value.

[0039] Treat all connected regions as candidate regions and form the set of currently existing regions.

[0040] The current set of existing areas is matched with the set of historical activity trajectories across cycles. The status and location of the successfully matched trajectories are updated, and new activity trajectories are created for the areas where unmatched personnel exist.

[0041] The historical activity trajectory set is a data set dynamically created and maintained by the system during operation, used to characterize and predict continuous indoor activities. Each activity trajectory represents a data object, preferably containing the following attributes: a unique trajectory identifier, a trajectory status representing the current lifecycle, a location sequence recorded in chronological order, a latest update timestamp recording the last time it was matched, and an active timer for managing the trajectory lifecycle.

[0042] The initial state of the historical activity trajectory set is an empty set. In each processing cycle, the system performs a cross-cycle association matching operation, that is, compares and associates the currently detected personnel presence area set with all trajectories in the historical activity trajectory set that are in an active or inactive state.

[0043] It should be noted that the cross-period association matching process is based on the nearest neighbor principle and is executed according to the following rules:

[0044] First, for each candidate region in the current set of regions, calculate the Euclidean distance between its center location and the latest recorded location of each relevant historical trajectory.

[0045] Secondly, if a historical trajectory is found that has the smallest distance to the current area, and this smallest distance is less than a preset trajectory matching distance threshold, then the current area is determined to have successfully matched the historical trajectory. The trajectory matching distance threshold is set based on the normal movement speed of personnel and the length of the system processing cycle, and is typically 1.2 to 1.5 times the maximum expected displacement of personnel within a single cycle.

[0046] For a successfully matched trajectory, the system updates its location sequence and latest update timestamp using the current area's location information and resets its active timer; for a current area that fails to match any historical trajectory, the system creates a new trajectory for it and adds it to the historical active trajectory set.

[0047] During the matching process, the system employs the following strategies to handle potential conflicts:

[0048] When multiple current regions simultaneously meet the matching criteria with the same historical trajectory, this situation may stem from a splitting of a simply connected region caused by a change in a person's pose. The system will select the current region with the closest distance as the valid match to update the historical trajectory; the remaining current regions will be regarded as new trajectory starting points, and new active trajectories will be created respectively.

[0049] This situation may occur at the intersection of multiple people's trajectories when the distance between a current area and multiple historical trajectories simultaneously meets the matching criteria. To prevent erroneous merging of trajectory information, the system will not update any existing historical trajectories for the current area. Instead, it will treat it as a completely new and independent area where people exist and create a new activity trajectory for it. If no valid matching is found for an existing historical trajectory within this period, its active timer will increment.

[0050] The active timer for a trajectory tracks the number of consecutive periods it has not been updated. If the count reaches the system's preset threshold M1 for consecutive periods without an update, the system updates the trajectory's status to paused or terminated, after which the trajectory will no longer be used to delineate personnel activity areas. The threshold M1 is set by taking into account both the common duration of brief personnel absences and the reliability requirements of the system's judgment. Through statistical analysis, its value is typically configured between 5 and 20 processing cycles.

[0051] Through the aforementioned matching rules and lifecycle management mechanism, the stability and continuity of personnel activity trajectory identification can be maintained in complex indoor scenarios such as multiple people coexisting and trajectory intersections, effectively avoiding trajectory management chaos caused by mismatches.

[0052] Based on the activity trajectories of all personnel within the preset time window, the current activity range of personnel is defined.

[0053] Based on all activity trajectories within a preset time window, the system defines the current activity range of personnel. The specific steps include: firstly, filtering out all activity trajectories whose latest updated timestamp is within the preset time window from the historical activity trajectory set to form an active trajectory set.

[0054] Next, extract all the location coordinates recorded by each trajectory in the active trajectory set within the time window to form a spatial point set of recent personnel activities.

[0055] Subsequently, boundary calculations are performed on the spatial point set to determine its spatial distribution range. Preferably, the AlphaShape algorithm is used to calculate the concave boundary polygon of the spatial point set, and the polygon is defined as the current personnel activity range.

[0056] All electric heating film blocks that fall within the range of personnel activity are designated as the personnel activity area set, and all electric heating film blocks outside this range are designated as the non-personnel activity area set.

[0057] S2. Obtain the indoor and outdoor ambient temperatures, and combine them with the preset target temperatures to set preliminary target temperatures for the group of people's activity areas and the group of non-people's activity areas respectively.

[0058] It should be added that the preset target temperature includes a non-human activity target temperature and a human activity target temperature. The non-human activity target temperature is the basic insulation temperature set for areas where no one is present, with a value between 14℃ and 18℃, primarily used to prevent energy waste and for moisture protection of the building structure. The human activity target temperature is the desired comfort temperature set for areas where people are present, with a value between 18℃ and 22℃, and can be set according to user habits or personal preferences.

[0059] For example, setting a preliminary target temperature for the set of non-human activity areas includes: calculating the difference between the indoor ambient temperature and the outdoor ambient temperature to obtain the indoor-outdoor temperature difference.

[0060] The indoor and outdoor temperature difference is matched with the indoor and outdoor temperature difference range corresponding to each indoor and outdoor temperature difference compensation value to obtain the indoor and outdoor temperature difference compensation value of the set of non-human activity areas. This value is then added to the target temperature of the non-human activity areas to obtain the preliminary target temperature of the set of non-human activity areas.

[0061] The indoor and outdoor temperature difference range corresponding to each indoor and outdoor temperature difference compensation value defines the mapping relationship between different indoor and outdoor temperature difference ranges and corresponding compensation values, which is used to compensate for heat loss caused by indoor and outdoor temperature differences in non-human activity areas.

[0062] In one specific embodiment, the indoor and outdoor temperature difference range corresponding to each indoor and outdoor temperature difference compensation value is determined by analyzing historical operation data. The specific steps are as follows: First, samples related to non-human activity areas are obtained from the historical operation data set. Each sample includes indoor and outdoor temperatures and the historical actual set temperature used to make the area reach the preset temperature.

[0063] Secondly, for each sample, the indoor-outdoor temperature difference is calculated, and the difference between the historical actual set temperature and the preset non-human activity target temperature is calculated. This difference is used as the actual compensation value under the indoor-outdoor temperature difference.

[0064] Next, all samples are divided into multiple intervals based on the indoor-outdoor temperature difference. This division can be based on equal-frequency distribution density of the temperature difference, or on equidistant division according to the significant inflection point of the effect of temperature difference on heat loss, such as dividing each interval into 5°C intervals. For each interval, the typical value of the actual compensation value for all samples is determined as the actual compensation value for that interval. The typical value can be the median or mean of the dataset to exclude interference from outlier data.

[0065] Finally, each interval and its corresponding indoor-outdoor temperature difference compensation value are used to construct the indoor-outdoor temperature difference interval corresponding to each indoor-outdoor temperature difference compensation value.

[0066] As an example, setting a preliminary target temperature for the set of personnel activity areas includes: obtaining samples related to personnel activity areas from historical operating data, each sample including historical indoor-outdoor temperature difference, historical indoor temperature, historical personnel activity target temperature and corresponding historical actual set temperature.

[0067] For each sample, the difference between the historical indoor temperature and the historical target temperature for personnel activities is calculated as the historical demand temperature difference, and the difference between the historical actual set temperature and the historical target temperature for personnel activities is calculated as the historical correction value.

[0068] All samples are divided into intervals based on historical indoor and outdoor temperature differences. Within each interval, a linear regression analysis is performed with historical demand temperature difference as the independent variable and historical correction value as the dependent variable to obtain the demand temperature difference-correction value mapping relationship for that interval. Then, the demand temperature difference-correction value mapping relationship for each interval is constructed.

[0069] Obtain the current indoor temperature, current outdoor temperature, and current target temperature for personnel activities. Calculate the current indoor-outdoor temperature difference and the difference between the current indoor temperature and the current target temperature for personnel activities as the current required temperature difference.

[0070] Determine the target range based on the current indoor-outdoor temperature difference, and then call the corresponding mapping relationship for that range.

[0071] Input the current required temperature difference into the mapping relationship to obtain the current temperature correction value.

[0072] The initial target temperature for the current personnel activity area is obtained by adding the current temperature correction value to the target temperature for the current personnel activity area set.

[0073] S3. Based on the preliminary target temperature of each electric heating film block and all electric heating film blocks in its surrounding preset neighborhood, the preliminary target temperature is corrected according to the preset neighborhood temperature coordination rule to obtain the final target temperature.

[0074] Please see Figure 2 As shown, exemplarily, the implementation of step S3 includes: S3-1, taking the electric heating film block as the center, dividing the neighborhood range of each electric heating film block according to a preset length, and obtaining the preliminary target temperature of all electric heating film blocks within the neighborhood range.

[0075] The preset neighborhood temperature coordination rule refers to: for each heating element, calculating the difference between its initial target temperature and the weighted average temperature of all heating elements in its neighborhood, and multiplying this difference by a coordination coefficient less than 1 to obtain a smooth temperature correction value. The coordination coefficient is determined experimentally: in a typical test environment, multiple different initial target temperature distributions are set, and different coordination coefficients are used for temperature field coordination calculations and system operation. By measuring the uniformity index of the actual temperature field, such as the standard deviation of the temperature at each measurement point, the coordination coefficient that achieves optimal temperature uniformity while meeting the zone temperature difference requirements is selected as the preset coordination coefficient.

[0076] S3-2. Based on the preset neighborhood temperature coordination rules, calculate the temperature correction value of the electric heating film block according to the preliminary target temperature of all electric heating film blocks within the neighborhood range.

[0077] As an optional implementation, the calculation of the temperature correction value of the heating film block includes: calculating the weighted average preliminary target temperature of all films in the neighborhood of the central heating film block based on the inverse distance weighting method.

[0078] Calculate the difference between the initial target temperature of the central membrane block and the weighted average initial target temperature, and multiply the difference by a preset coordination coefficient to obtain the temperature correction value.

[0079] S3-3. Based on the initial target temperature of the heating film and the temperature correction value, calculate the final target temperature of the generated heating film.

[0080] Further, the calculation of the temperature correction value of the electric heating film block includes: S3-3-1, obtaining the spatial distance between the current electric heating film block and each neighboring electric heating film block within its neighborhood range, and calculating the distance weight of each neighboring electric heating film block based on the spatial distance.

[0081] It should be added that the calculation of the distance weight of each neighboring electric heating film block includes: based on the spatial distance of each neighboring electric heating film block, performing an inverse proportional calculation to obtain the inverse proportional value of each neighboring electric heating film block, and then summing the inverse proportional values ​​to obtain the total inverse proportional value.

[0082] The ratio of the inverse proportional value of each neighboring electric heating film block to the total inverse proportional value is used as the distance weight of each neighboring electric heating film block.

[0083] S3-3-2. Calculate the weighted average of the distance weight of each neighboring electric heating film block and its initial target temperature to obtain the neighborhood weighted average temperature.

[0084] It should be added that the formula for calculating the neighborhood weighted average temperature is: In the formula The neighborhood-weighted average temperature. For the first in the neighborhood The initial target temperature of each electric heating film block, For the first in the neighborhood Distance weight of each electrothermal film block This represents the total number of electric heating film blocks within the neighborhood.

[0085] The purpose of this design is twofold: firstly, by utilizing distance weights calculated based on the inverse relationship between spatial distances, it is possible to accurately quantify the actual differences in the impact of membrane blocks at different locations within the neighborhood on the temperature field of the central membrane block, reflecting the physical law that the impact of nearby blocks is greater than that of distant blocks. Secondly, it normalizes and merges the preliminary target temperature information of all membrane blocks within the neighborhood to generate a single index that comprehensively characterizes the temperature setting trend of this local area.

[0086] S3-3-3, The difference between the neighborhood weighted average temperature and the preliminary target temperature is used as the temperature correction value.

[0087] S4. Perform a heating operation based on the final target temperature. After reaching a thermally stable state, collect the measured surface temperature of each heating film block and, in conjunction with its final target temperature, evaluate the heating qualification of each heating film block and identify heating film blocks with abnormal heating.

[0088] For example, the evaluation of the temperature rise qualification of each electrothermal film block includes: comparing the measured surface temperature of each electrothermal film block with its corresponding final target temperature.

[0089] If the absolute difference between the measured surface temperature and the final target temperature is less than or equal to the preset allowable temperature difference threshold, the heating element is deemed to have passed the temperature rise test; otherwise, the heating element is deemed to have an abnormal temperature rise.

[0090] It is worth noting that the preset allowable temperature difference threshold is a critical temperature deviation used to determine whether the heating of the electric heating film is up to standard. For example, taking into account both the human body's perception threshold for local temperature changes and the system's control precision, the initial value of the allowable temperature difference threshold is set between 1.0°C and 2.0°C.

[0091] S5. Based on the heating qualification and measured surface temperature of the abnormal heating film block and all heating film blocks in the preset neighborhood, perform abnormal root cause determination and generate abnormal determination results.

[0092] Please see Figure 3 As shown, exemplarily, the generation of anomaly determination results includes: S5-1, for each abnormally heated electric heating film block, obtaining the heating qualification determination results and measured surface temperature of all other electric heating film blocks within its neighborhood.

[0093] S5-2. If there are no other abnormal heating film blocks within the neighborhood, then the abnormal heating film block is marked as an isolated abnormal candidate film block. This situation indicates that the abnormality may originate from local independent factors, such as the performance failure of the film block itself or being affected by local external interference. Therefore, it is necessary to further perform isolated abnormality determination.

[0094] Specifically, the isolated anomaly determination includes: S5-2-1, calculating the average of the measured surface temperature difference between all qualified heating film blocks within the neighborhood and their final target temperature, and using it as the average environmental deviation.

[0095] S5-2-2, Subtract the average environmental deviation from the measured surface temperature of the isolated abnormal candidate membrane block to obtain the environmentally corrected temperature.

[0096] S5-2-3. Calculate the absolute difference between the environmentally corrected temperature and its final target temperature. If the absolute difference is greater than the preset allowable temperature difference threshold, it is determined to be an abnormal heating film block; otherwise, it is determined to be a non-abnormal heating film block.

[0097] S5-3. If there are other abnormal heating film blocks within the neighborhood, then all abnormal heating film blocks within the neighborhood are designated as the associated anomaly analysis area. This situation indicates that the anomaly may be caused by regional factors. Regional collaborative analysis needs to be performed on the associated anomaly analysis area to distinguish between overall heating deviation and internal discrete faults.

[0098] Furthermore, the process of performing regional collaborative analysis on the associated anomaly analysis area includes: S5-1-1, calculating the difference between the measured surface temperature of each electrothermal film block and its final target temperature within the associated anomaly analysis area.

[0099] S5-1-2. Analyze the distribution characteristics of all differences. If all differences have the same sign and their standard deviation is less than the preset uniformity threshold, then the area is determined to be an area of ​​overall heating abnormality. Calculate the average value of all differences as the area compensation amount. Based on the area compensation amount, generate a global temperature correction command for all electric heating film blocks in the area.

[0100] It should be noted that the preset uniformity threshold is a statistical critical value for judging the uniformity of temperature deviation distribution within the associated anomaly analysis area. The method for setting this threshold includes: analyzing the statistical distribution of the standard deviation of temperature deviation in local areas based on various steady-state operating condition data collected by the system during its historical normal operation; and then setting the uniformity threshold within the range of the average value of the statistical distribution and 1 to 2 times the standard deviation, preferably 1.5 to 2.0 times the average value.

[0101] S5-1-3 If the aforementioned conditions are not met, it is determined that there are discrete faulty film blocks in the area. Based on the measured temperature of each electric heating film block and the temperature of the qualified electric heating film blocks in its neighborhood, the abnormal electric heating film block is identified through the anomaly location algorithm, and fault alarm information is generated.

[0102] It should be added that the anomaly localization algorithm is implemented through the following steps:

[0103] W1. Calculate the relative temperature deviation of each abnormal heating film block: For each abnormal heating film block in the associated abnormal analysis area, obtain the measured surface temperature of all qualified heating film blocks within its preset neighborhood range, and calculate the arithmetic mean of these temperatures. Subtract the arithmetic mean from the measured surface temperature of the abnormal heating film block; the difference is the relative temperature deviation of that film block.

[0104] W2. Fault identification based on relative deviation: Calculate the average and standard deviation of the relative temperature deviations of all abnormally heated electric heating film blocks within the associated anomaly analysis area. Set the fault identification threshold as the sum of the average and standard deviations. Iterate through all abnormally heated electric heating film blocks. If the relative temperature deviation of a film block is greater than or equal to the threshold, mark it as a candidate faulty film block.

[0105] W3. Verification and Output: The identified candidate faulty membrane blocks are continuously verified periodically. If a candidate faulty membrane block is identified as such for M2 consecutive processing cycles, it is ultimately confirmed as an abnormal electrothermal membrane block. M2 is a preset threshold for the number of consecutive fault confirmation cycles, typically set according to system anti-interference requirements, usually between 3 and 5 cycles. The system outputs the location identifiers and relative deviation values ​​of all ultimately confirmed abnormal electrothermal membrane blocks, and generates a fault alarm containing this location information.

[0106] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0107] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0108] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0109] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0110] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A graphene electric heating film heating electric heating control method, characterized in that: The method comprises: S1, determining the personnel activity range based on the signal of the electrothermal film outer packaging layer pressure sensor, and dividing the electrothermal film blocks into a personnel activity area set and a non-personnel activity area set according to the personnel activity range; S2, obtaining the indoor and outdoor environment temperatures, setting the preliminary target temperature for the personnel activity area set and the non-personnel activity area set in combination with the preset target temperature; S3, based on the preliminary target temperature of each electrothermal film block and all electrothermal film blocks in the preset neighborhood of the periphery of the electrothermal film block, the preliminary target temperature of each electrothermal film block is corrected according to the preset neighborhood temperature coordination rule to obtain the final target temperature; Step S3 comprises: taking the current electrothermal film block as the center, dividing the neighborhood range of the current electrothermal film block according to the preset length, and obtaining the preliminary target temperature of all electrothermal film blocks in the neighborhood range; according to the preset neighborhood temperature coordination rule, the preliminary target temperature of all electrothermal film blocks in the neighborhood range is calculated to obtain the temperature correction value of the current electrothermal film block; based on the preliminary target temperature of the current electrothermal film block and the temperature correction value, the final target temperature of the current electrothermal film block is calculated; The calculation of the temperature correction value of the current electrothermal film block comprises: obtaining the spatial distance between the current electrothermal film block and each neighborhood electrothermal film block in the neighborhood range, calculating the distance weight of each neighborhood electrothermal film block based on the spatial distance; the distance weight and the preliminary target temperature of each neighborhood electrothermal film block are weighted and averaged to obtain the neighborhood weighted average temperature; the difference between the preliminary target temperature of the current electrothermal film block and the neighborhood weighted average temperature is calculated, and the difference is multiplied by a preset coordination coefficient to obtain the temperature correction value, wherein the preset coordination coefficient is less than 1; S4, based on the final target temperature, performing a heating operation, after reaching a thermal steady state, collecting the measured surface temperature of each electrothermal film block, and combining the final target temperature to evaluate the heating qualification of each electrothermal film block, and identifying the heating abnormal electrothermal film block; S5, based on the heating abnormal electrothermal film block and the heating qualification and measured surface temperature of all electrothermal film blocks in the preset neighborhood of the periphery of the heating abnormal electrothermal film block, performing abnormal root cause determination to generate an abnormal determination result.

2. The graphene electric heating film heating electric heating control method according to claim 1, characterized in that: The implementation of step S1 comprises: obtaining the pressure signal of each electrothermal film block in the current processing period, and comparing it with the preset pressure signal threshold; if there is a pressure signal greater than the preset pressure signal threshold in the current processing period, it is determined that the electrothermal film block is a suspected personnel activity electrothermal film block, and a suspected personnel activity film block collection is constructed accordingly; spatial clustering is performed on the suspected personnel activity film block collection, and the suspected personnel activity film blocks with a spatial distance less than or equal to a preset adjacency threshold are aggregated into a connected region; for the isolated film block identified after spatial clustering as not being clustered with other suspected personnel activity film blocks, a pressure signal sequence of the film block in consecutive N cycles is obtained, and a fluctuation feature quantity is calculated; if the fluctuation feature quantity is greater than or equal to a preset biological feature threshold, it is determined that the signal is derived from personnel, and the connected region is marked, otherwise, it is determined that it is a static interference object and is excluded; all connected regions are taken as candidate personnel existing areas, and a current existing area set is formed; The current existing area set is cross-periodically associated and matched with the historical activity track set, the tracks that are successfully matched are updated in state and position, and a new activity track is created for the personnel existing area that is not successfully matched; According to all the activity tracks within a preset time window, a current personnel activity range is delimited; All the electrothermal film blocks falling within the personnel activity range in spatial position are delimited as a personnel activity area set, and all the electrothermal film blocks outside the range are delimited as a non-personnel activity area set.

3. The graphene electric heating film heating electric heating control method according to claim 1, characterized in that: Setting a preliminary target temperature for the non-personnel activity area set includes: The indoor and outdoor temperature difference is calculated by subtracting the indoor environment temperature from the outdoor environment temperature; The indoor and outdoor temperature difference is matched with the indoor and outdoor temperature difference interval corresponding to each indoor and outdoor temperature difference compensation value to obtain the indoor and outdoor temperature difference compensation value of the non-personnel activity area set, and the preliminary target temperature of the non-personnel activity area set is obtained by adding the indoor and outdoor temperature difference compensation value to the non-personnel activity preset target temperature.

4. The graphene electric heating film heating electric heating control method according to claim 3, characterized in that: Setting a preliminary target temperature for the personnel activity area set includes: Samples related to the personnel activity area are obtained from historical operation data, each sample including a historical indoor and outdoor temperature difference, a historical indoor temperature, a historical personnel activity target temperature, and a corresponding historical actual set temperature; For each sample, the difference between the historical indoor temperature and the historical personnel activity target temperature is calculated as a historical demand temperature difference, and the difference between the historical actual set temperature and the historical personnel activity target temperature is calculated as a historical correction value; All the samples are divided into intervals according to the historical indoor and outdoor temperature difference, and in each interval, linear regression analysis is performed with the historical demand temperature difference as the independent variable and the historical correction value as the dependent variable to obtain the demand temperature difference-correction value mapping relationship of the interval, and then the demand temperature difference-correction value mapping relationship of each interval is constructed; The current indoor temperature, the current outdoor temperature, and the current personnel activity target temperature are obtained, the current indoor and outdoor temperature difference is calculated, and the difference between the current indoor temperature and the current personnel activity target temperature is calculated as a current demand temperature difference; The target interval to which the current indoor and outdoor temperature difference belongs is determined, and the mapping relationship corresponding to the interval is called; The current demand temperature difference is input into the mapping relationship to obtain a current temperature correction value; The preliminary target temperature of the personnel activity area set is obtained by adding the current temperature correction value to the current personnel activity preset target temperature.

5. The graphene electric heating film heating electric heating control method according to claim 1, characterized in that: The evaluation of the temperature rise qualification of each electrothermal film block includes: The measured surface temperature of each electrothermal film block is compared with the corresponding final target temperature; If the absolute difference between the measured surface temperature and the final target temperature is less than or equal to a preset allowable temperature difference threshold, the electrothermal film block is determined to be qualified in temperature rise, otherwise, the electrothermal film block is determined to be an abnormal temperature rise electrothermal film block.

6. The graphene electric heating film heating electric heating control method according to claim 1, characterized in that: The generation of the abnormality determination result includes: For each abnormal temperature rise electrothermal film block, the temperature rise qualification determination result and the measured surface temperature of all other electrothermal film blocks in the neighborhood range thereof are obtained; If there is no other abnormal temperature rise electrothermal film block in the neighborhood range, the abnormal temperature rise electrothermal film block is marked as an isolated abnormal candidate film block, and an isolated abnormality determination is performed. If there are other abnormal temperature-rising electrothermal film blocks in the neighborhood range, all the abnormal temperature-rising electrothermal film blocks in the neighborhood range are defined as a correlated abnormal analysis region, and regional collaborative analysis is performed on the correlated abnormal analysis region.

7. The graphene electric heating film heating electric heating control method according to claim 6, characterized in that: The performing isolated abnormality determination comprises: calculating the average value of the difference between the measured surface temperature of all the temperature-rising qualified electrothermal film blocks in the neighborhood range and the final target temperature thereof, and taking the average value as an average environmental deviation; subtracting the average environmental deviation from the measured surface temperature of the isolated abnormality candidate film block to obtain an environment-corrected temperature; calculating the absolute difference between the environment-corrected temperature and the final target temperature thereof, and if the absolute difference is greater than a preset allowable temperature difference threshold, determining that the isolated abnormality candidate film block is an abnormal electrothermal film block, otherwise, determining that the isolated abnormality candidate film block is a non-abnormal electrothermal film block.

8. The graphene electric heating film heating electric heating control method according to claim 6, characterized in that: The performing regional collaborative analysis on the correlated abnormal analysis region comprises: calculating the difference between the measured surface temperature of each electrothermal film block in the correlated abnormal analysis region and the final target temperature thereof; analyzing the distribution characteristics of all the differences, and if the signs of all the differences are consistent and the standard deviation is less than a preset uniformity threshold, determining that the region is a whole heat supply abnormal region, calculating the average value of all the differences as a regional compensation amount, and generating a global temperature correction instruction for all the electrothermal film blocks in the region based on the regional compensation amount; otherwise, determining that there are discrete fault film blocks in the region, identifying abnormal electrothermal film blocks through an abnormality positioning algorithm based on the measured temperature of each electrothermal film block and the temperature of the temperature-rising qualified electrothermal film blocks in the neighborhood thereof, and generating a fault alarm information.

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