A method and system for fault self-diagnosis and hierarchical safety protection of an outdoor heater

Abstract

The present application relates to a kind of outdoor warmer fault self-diagnosis and hierarchical safety protection method and system, it is related to electrical safety protection technical field, its method includes: the specification parameter of the acquisition outdoor warmer, the placement position point where it is located and the body inclination parameter in running process;According to specification parameter, determine specification hierarchical reference;According to placement position point, determine placement scene adjustment value;Based on placement scene adjustment value, adjust specification hierarchical reference, form scene hierarchical reference;According to the comparison result of body inclination parameter and scene hierarchical reference, determine inclination estimated risk;According to inclination estimated risk, determine fault control instruction, and execute fault control instruction.The present application has the effect of improving the safety and practicality of the user outdoor warmer for outdoor heating.

Description

Technical Field

[0001] This invention relates to the field of electrical safety protection technology, and in particular to a method and system for self-diagnosis and graded safety protection of outdoor heater malfunctions. Background Technology

[0002] Electrical safety protection refers to a series of technical measures, protective devices, and management standards adopted to prevent electrical accidents such as electric shock, electrical fires, and equipment damage.

[0003] Outdoor heaters, also known as patio heaters or terrace heaters, are heating devices specifically designed for outdoor or semi-open spaces to provide localized warmth in cold weather. Currently, safety precautions for outdoor heaters typically involve equipping them with a tilt-off switch. When the heater tilts or falls over, this switch cuts off the main power supply, reducing the probability of electrical accidents.

[0004] Currently, outdoor heaters typically use a tipping switch to cut off the main power supply when the heater is detected to be tilted or falling over. However, they will also shut down the heater even in the event of a minor malfunction, which seriously affects the user's daily experience and fails to balance safety and practicality. Summary of the Invention

[0005] To improve the safety and practicality of using outdoor heaters for outdoor heating, this invention provides a method and system for self-diagnosis and graded safety protection of outdoor heater malfunctions.

[0006] In a first aspect, the present invention provides a method for self-diagnosis and graded safety protection of outdoor heater malfunctions, employing the following technical solution: A method for self-diagnosis and graded safety protection of outdoor heater malfunctions includes: Collect the specifications, location, and tilt angle of the outdoor heater during operation; Determine the specification grading benchmark based on the specification parameters; Determine the placement scene adjustment value based on the placement location point; The specification grading benchmark is adjusted based on the placement scenario adjustment value to form a scenario grading benchmark; The tilt angle prediction risk is determined based on the comparison results between the fuselage tilt angle parameters and the scenario classification benchmark; Based on the tilt angle, the risk is estimated, and the fault control instructions are determined and executed.

[0007] By adopting the above technical solution, the specifications, placement location, and tilt angle parameters of outdoor heaters are collected. A specification grading benchmark is determined based on the specifications, and a placement scenario adjustment value is determined based on the placement location. This adjustment value is then used to adjust the specification grading benchmark to form a scenario grading benchmark, ensuring that the grading benchmark can adapt to the actual operating conditions of different specifications of equipment in different placement scenarios. The tilt angle risk is determined by comparing the tilt angle parameters with the scenario grading benchmark. Based on this tilt angle risk, corresponding fault control commands are determined and executed. This allows the fault diagnosis process to comprehensively consider both the equipment's own specifications and external environmental factors, improving the matching degree between tilt angle risk assessment and the actual operating conditions of the equipment, and ensuring the rationality and accuracy of the grading protection strategy.

[0008] Optionally, methods for determining specification grading criteria include: Retrieve specification dimensions and specification type based on specification parameters; Determine the grading criteria for shape and weight based on the specifications and dimensions; Determine the type adjustment coefficient and type bias coefficient based on the specification type; The dimensional grading datum is determined by selecting and adjusting the shape grading datum and weight grading datum based on the type bias coefficient. The size classification benchmark is adjusted based on the type adjustment factor to form a type adjustment benchmark, and the type adjustment benchmark is used as the specification classification benchmark.

[0009] By adopting the above technical solution, the specification dimensions and specification types are retrieved through specification parameters, and the shape classification benchmark, weight classification benchmark, type adjustment coefficient, and type bias coefficient are determined respectively. Based on the type bias coefficient, the shape classification benchmark and weight classification benchmark are selected and adjusted to determine the size classification benchmark. Then, based on the type adjustment coefficient, the type adjustment benchmark is formed and used as the specification classification benchmark. This allows the determination process of the specification classification benchmark to differentiate the degree of bias of the size and weight parameters according to different equipment types, thereby improving the accuracy of the matching between the specification classification benchmark and the actual physical characteristics of the equipment.

[0010] Optional methods for determining the grading criteria for shape include: Retrieve the specification height value, specification base area, and specification heated area based on the specification dimensions; Determine the height grading benchmark based on the specified height value; The external reference value is calculated based on the specified height value and the specified base area; Calculate the ratio between the standard base area and the standard heated area, and use it as the heating ratio. The shape adjustment coefficient is determined by combining the shape reference value and the heat absorption ratio value. The height classification benchmark is adjusted based on the shape adjustment factor and used as the shape classification benchmark.

[0011] By adopting the above technical solution, the specified height value, specified base area, and specified heated area are retrieved to determine the height grading benchmark, shape reference value, and heated ratio value, respectively. Then, the shape adjustment coefficient is determined by combining the shape reference value and the heated ratio value. The height grading benchmark is then adjusted and used as the shape grading benchmark. This process of determining the shape grading benchmark can comprehensively reflect the correlation between the height characteristics of the equipment, the base support area, and the heated area, thereby improving the comprehensiveness of the shape grading benchmark in representing the actual shape and structural characteristics of the equipment.

[0012] Optionally, methods for determining the dimensional grading datum include: Determine whether the type bias coefficient is greater than the preset shape reference coefficient; If so, the weight adjustment factor is determined based on the type bias factor; The shape adjustment benchmark is determined by combining the type bias coefficient and the shape classification benchmark. The weight adjustment criterion is determined by combining the weight adjustment factor with the weight grading criterion; A comprehensive adjustment datum is determined based on the shape adjustment datum and the weight adjustment datum, and this comprehensive adjustment datum is used as the dimensional classification datum. If not, then the weight grading criterion will be used as the size grading criterion.

[0013] By adopting the above technical solution, it is determined whether the type bias coefficient is greater than the preset shape reference coefficient. When it is greater, the shape adjustment reference and weight adjustment reference are determined respectively, and then the comprehensive adjustment reference is determined and used as the size classification reference. When it is not greater, the weight classification reference is directly used as the size classification reference. This allows the determination path of the size classification reference to be adaptively selected according to the degree of bias of shape parameters and weight parameters based on the equipment type. When the equipment type is biased towards shape features, the judgment is made by combining both shape and weight dimensions. When the equipment type is biased towards weight features, the judgment is made primarily by the weight dimension. This improves the flexibility of the size classification reference in adapting to different types of equipment.

[0014] Optionally, methods for determining the placement scene adjustment value include: Determine the placement location based on the terrain and surrounding buildings. Determine the terrain leveling adjustment value based on the placement terrain; Based on the surrounding buildings, retrieve the building type and building density; Determine the estimated population density based on building type; The population density adjustment value is determined by combining the estimated population density and building density. The placement scene adjustment value is calculated and determined based on the crowd density adjustment value and the terrain flatness adjustment value.

[0015] By adopting the above technical solution, the terrain and surrounding buildings are determined by the placement location, and the terrain flatness adjustment value and the population density adjustment value are determined respectively. Then, the placement scene adjustment value is calculated and determined. This process of determining the placement scene adjustment value can comprehensively reflect the terrain flatness conditions of the equipment placement location and the population distribution characteristics determined by the surrounding buildings, thereby improving the accuracy of the placement scene adjustment value in restoring the actual deployment scene of the equipment.

[0016] Optionally, the methods for determining fault control commands include: Determine the initial tilt angle command based on the tilt angle risk assessment; Determine whether the estimated tilt angle risk is the same as the preset initial tilt angle risk; If so, collect relevant parameters of the outdoor heater during its operation; Determine the basic parameters of the machine body based on the specifications; Determine the influence value of relevant deviations by combining relevant body parameters with body baseline parameters; The tilt adjustment command is determined by combining the relevant deviation influence value and the initial tilt command, and the tilt adjustment command is used as the fault control command; If not, the tilt angle initial command will be used as the fault control command.

[0017] By adopting the above technical solution, the initial tilt angle command is determined by tilt angle prediction risk, and it is determined whether the tilt angle prediction risk is the preset initial tilt angle risk. When it is the initial tilt angle risk, relevant machine parameters are collected and combined with specification parameters to determine the relevant deviation impact value. Then, the tilt angle adjustment command is determined in combination with the initial tilt angle command and used as the fault control command. When it is not the initial tilt angle risk, the initial tilt angle command is directly used as the fault control command. This allows the formulation of fault control commands to further incorporate machine operating status parameters for comprehensive analysis under the initial tilt angle risk level, and to maintain the direct execution of the initial tilt angle command under non-initial risk levels. This achieves differentiated response of fault control commands to different risk level scenarios.

[0018] Optional methods for determining the influence value of relevant deviations include: Retrieve internal and external parameters of the machine based on relevant machine parameters; Retrieve internal and external reference parameters based on the body's reference parameters; Based on the comparison results between the internal parameters of the machine body and the internal reference parameters, the internal deviation is determined; Based on the comparison results between the external parameters of the machine body and the external reference parameters, the external deviation is determined; Determine whether both internal and external deviations exist; If so, the combined internal and external impact value is determined by combining the internal and external deviations, and the combined internal and external impact value is used as the relevant deviation impact value; If not, then either the existing internal deviation or the external deviation is selected as the single deviation case; The single influence value is determined based on the single deviation, and the single influence value is used as the influence value of the relevant deviation.

[0019] By adopting the above technical solution, the internal parameters, external parameters, internal reference parameters, and external reference parameters of the machine body are retrieved to determine the internal and external deviations. Then, it is determined whether both internal and external deviations exist. If both exist, the combined internal and external deviations are used to determine the comprehensive internal and external influence value as the relevant deviation influence value. If they do not exist equally, a single deviation is selected to determine the single influence value as the relevant deviation influence value. This allows the determination of the relevant deviation influence value to be tailored to the actual deviation distribution of the equipment's internal operating state and external environment state, thereby improving the accuracy of the relevant deviation influence value in representing the actual deviation state of the equipment.

[0020] Optional methods for determining the combined internal and external impact value include: Retrieve the types and values ​​of internal deviations based on the internal deviation situation; Determine the internal category benchmark coefficient based on the type of internal deviation; Retrieve the types and values ​​of external deviations based on the external deviation situation; Determine the external type benchmark coefficient based on the type of external deviation; Determine whether the types of internal and external deviations influence each other; If so, the adjustment weight is determined by combining the types of internal and external deviations; The internal and external category benchmark coefficients are adjusted based on the adjustment weights to form the internal and external category adjustment coefficients; The adjustment impact value is determined by combining the internal and external type adjustment coefficients, internal deviation value and external deviation value, and the adjustment impact value is used as the comprehensive internal and external impact value; If not, then the benchmark influence value is determined by combining the internal category benchmark coefficient, the external category benchmark coefficient, the internal deviation value, and the external deviation value, and the benchmark influence value is used as the comprehensive internal and external influence value.

[0021] By employing the above technical solution, the types of internal deviations, internal deviation values, types of external deviations, and external deviation values ​​are retrieved separately, and the baseline coefficients for internal and external deviations are determined. Then, it is determined whether there is a mutual influence relationship between the types of internal and external deviations. When a mutual influence exists, the adjustment weight is determined by combining the types of internal and external deviations. Based on the adjustment weight, the baseline coefficients for internal and external deviations are adjusted to form internal and external adjustment coefficients. The adjustment impact value is then determined by combining the internal and external deviation values ​​and used as the comprehensive internal and external impact value. When there is no mutual influence, the baseline impact value is determined by combining the baseline coefficients for internal and external deviations and used as the comprehensive internal and external impact value. Thus, when there is a mutual influence, the coefficients are corrected by adjusting the weights; when there is no mutual influence, the baseline coefficients are used for independent superposition calculation, improving the accuracy of the comprehensive internal and external impact value in representing the deviation coupling relationship.

[0022] Optionally, the method for determining the tilt adjustment command includes: Determine whether the relevant deviation impact value is less than the preset deviation benchmark impact value; If so, the initial tilt command will be used as the tilt adjustment command; If not, calculate the difference between the relevant deviation impact value and the deviation benchmark impact value and use it as the impact deviation value; Determine the level of influence deviation adjustment based on the influence deviation value; The initial tilt command is adjusted according to the influence deviation adjustment level to determine the influence deviation adjustment command, and the influence deviation adjustment command is used as the tilt adjustment command.

[0023] By adopting the above technical solution, it is determined whether the relevant deviation influence value is less than the preset deviation benchmark influence value. When it is less, the initial tilt command is used as the tilt adjustment command. When it is not less, the influence deviation value is calculated to determine the influence deviation adjustment level. Then, the initial tilt command is adjusted to determine the influence deviation adjustment command and used as the tilt adjustment command. Thus, when the deviation is small, the initial command is not adjusted. When the deviation is large, the corresponding command adjustment is executed according to the deviation level, which improves the precision of the tilt adjustment command's response to the degree of deviation influence.

[0024] Secondly, this invention provides an outdoor heater fault self-diagnosis and graded safety protection system, which adopts the following technical solution: An outdoor heater fault self-diagnosis and graded safety protection system includes: The data acquisition module is used to collect specifications, placement location, fuselage tilt angle, and other relevant parameters of the aircraft. The memory stores a program for implementing a self-diagnosis and graded safety protection method for outdoor heater malfunctions as described in any one of the first aspects; The processor loads and executes programs stored in memory.

[0025] In summary, the present invention has at least one of the following beneficial technical effects: 1. Data is collected on the specifications, placement locations, and tilt angles of outdoor heaters during operation. A specification grading benchmark is determined based on the specifications, and adjustment values ​​for placement scenarios are determined by combining these benchmarks with the placement locations. These adjustment values ​​are then used to adjust the specification grading benchmark to form a scenario grading benchmark, ensuring that the benchmark adapts to the actual operating conditions of different specifications of equipment in different placement scenarios. The tilt angle risk is estimated based on the comparison between the tilt angle parameters and the scenario grading benchmark. Based on this estimated risk, corresponding fault control commands are determined and executed. This allows the fault diagnosis process to comprehensively consider both the equipment's specifications and external environmental factors, improving the matching degree between tilt angle risk assessment and the actual operating conditions of the equipment, and ensuring the rationality and accuracy of the graded protection strategy. 2. By retrieving specification dimensions and specification types through specification parameters, the shape grading benchmark, weight grading benchmark, type adjustment coefficient, and type bias coefficient are determined respectively. Based on the type bias coefficient, the shape grading benchmark and weight grading benchmark are selected and adjusted to determine the size grading benchmark. Then, based on the type adjustment coefficient, the type adjustment benchmark is formed and used as the specification grading benchmark. This allows the determination process of the specification grading benchmark to differentiate the degree of bias of size parameters and weight parameters according to different equipment types, thereby improving the accuracy of the adaptation between the specification grading benchmark and the actual physical characteristics of the equipment. 3. By determining the placement location, the terrain and surrounding buildings are identified. Adjustments are then made for terrain flatness and population density. Finally, the placement scene adjustment is calculated. This process ensures that the determination of the placement scene adjustment comprehensively reflects the terrain flatness of the equipment placement location and the population distribution characteristics determined by the surrounding buildings, thereby improving the accuracy of the placement scene adjustment in reproducing the actual deployment scene of the equipment. Attached Figure Description

[0026] Figure 1 This is a flowchart of a method for self-diagnosis and graded safety protection of outdoor heater malfunctions; Figure 2 This is a schematic diagram illustrating the self-diagnosis and graded safety protection of outdoor heater malfunctions. Figure 3 This is a flowchart illustrating the method for determining fault control commands; Figure 4 This is a flowchart illustrating the method for determining the combined internal and external impact values. Detailed Implementation

[0027] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0028] Reference Figure 1 and Figure 2 This invention discloses a method for self-diagnosis and graded safety protection of outdoor heater malfunctions, comprising: S100: Collects the specifications of the outdoor heater, its location, and the tilt angle of the unit during operation.

[0029] The specifications refer to the inherent physical and electrical properties of the outdoor heater, including its dimensions and type. These specifications can be retrieved directly from the heater's nameplate, product specification sheet, or factory configuration information embedded in the control chip.

[0030] The placement location point refers to the physical location information of the outdoor heater in the actual use scenario. The placement location point is obtained automatically by acquiring the latitude and longitude coordinates through the device's built-in GPS positioning module.

[0031] The body tilt angle parameter refers to the tilt angle data generated by the outdoor heater relative to the reference upright posture during operation. The body tilt angle parameter is obtained by collecting the gravitational acceleration components in the X-axis, Y-axis and Z-axis directions of the device in real time through attitude sensors such as MEMS accelerometers or gyroscopes preset on the outdoor heater at a set sampling frequency (such as 10Hz to 100Hz).

[0032] S101: Determine the specification grading benchmark based on the specification parameters.

[0033] The specification grading benchmark refers to a reference standard used to determine the risk level of equipment failure based on the inherent specification parameters of the outdoor heater. The specification grading benchmark includes the tilt angle benchmark range corresponding to each different risk level.

[0034] By analyzing the specification parameters, the specification grading benchmark can be determined to facilitate subsequent use.

[0035] S102: Determine the placement scene adjustment value based on the placement location point.

[0036] Among them, the placement scenario adjustment value refers to the adjustment amount used to correct the equipment failure risk assessment benchmark based on the environmental characteristics of the actual placement location of the outdoor heater.

[0037] By analyzing the placement location, the adjustment values ​​for the placement scene can be determined, which facilitates subsequent use.

[0038] S103: Adjust the specification classification benchmark based on the placement scene adjustment value to form a scene classification benchmark.

[0039] Among them, the scenario classification benchmark refers to the modified benchmark value that comprehensively reflects the scale of actual failure risk assessment of outdoor heaters in a specific placement scenario.

[0040] The scene adjustment value is scaled and adjusted by multiplication, and the scaled result is used as the scene classification benchmark for convenient subsequent use.

[0041] S104: Determine the tilt angle prediction risk based on the comparison results between the fuselage tilt angle parameters and the scenario classification benchmark.

[0042] Among them, the tilt angle prediction risk refers to the graded assessment results that characterize the degree of potential threat posed by the current tilt state of the outdoor heater to the operational safety of the equipment.

[0043] By comparing the fuselage tilt angle parameters with the scene classification benchmark, and taking the risk level corresponding to the fuselage tilt angle parameters falling into the scene classification benchmark as the tilt angle prediction risk, it is convenient for subsequent use.

[0044] S105: Determine fault control instructions based on the risk assessment of tilt angle, and execute the fault control instructions.

[0045] Among them, fault control commands refer to specific control signals or operation commands used to drive outdoor heaters to perform corresponding safety protection actions.

[0046] By analyzing the tilt angle prediction risk, fault control commands are determined and executed. This enables the fault diagnosis process to comprehensively consider the equipment's own specifications and external environmental factors, improving the matching degree between tilt angle risk assessment and actual equipment operating conditions, and ensuring the rationality and accuracy of the graded protection strategy.

[0047] To further ensure the rationality of the specification grading benchmark, it is necessary to perform further separate analysis and calculation on the specification grading benchmark, which will be explained in detail through the steps shown below.

[0048] The method for determining the specification grading criteria includes the following steps: S200: Retrieves specification dimensions and specification type based on specification parameters.

[0049] Among them, the specifications and dimensions are a set of quantitative parameters characterizing the physical spatial dimensions of the outdoor heater. Specifications and dimensions include the height, base area, heated area, and weight. The height refers to the maximum vertical dimension of the device when it is upright; the base area is the projected area of ​​the bottom of the device in contact with the placement surface; the heated area is the effective surface area of ​​the heating elements in the device that radiates or transfers heat outwards; and the weight is the overall weight of the device.

[0050] Specification type is an attribute identifier that characterizes the working principle and structural form of outdoor heaters. Specification types include radiant, convection, and fan types.

[0051] The specification parameters can be used to retrieve the size and type of specifications for convenient subsequent use.

[0052] S201: Determine the grading criteria for shape and weight based on the specifications and dimensions.

[0053] Among them, the shape classification benchmark refers to the reference standard for determining the failure risk level of equipment based on its shape and structure. The weight classification benchmark refers to the reference standard for determining the failure risk level of equipment based on its own gravity characteristics.

[0054] The system retrieves the specified height, base area, heated area, and weight values ​​based on the specifications. It then analyzes these values ​​to determine the shape classification benchmark. Finally, it matches the weight value with the positive correlation between overturning inertia and the degree of tipping hazard, and matches the tilt angle judgment threshold for the corresponding risk level to generate a weight classification benchmark for convenient subsequent use.

[0055] S202: Determine the type adjustment coefficient and type bias coefficient based on the specification type.

[0056] The type adjustment factor is a scaling factor used to adjust the overall scale of the classification benchmark based on the specifications of outdoor heaters. The type bias factor is a weighting parameter that characterizes the emphasis on shape and weight characteristics of this type of equipment during risk assessment.

[0057] By inputting the specification type into the preset type database, the type adjustment coefficient and type bias coefficient are obtained for easy subsequent use.

[0058] Different specification types correspond to different type adjustment coefficients and type bias coefficients. The type database pre-stores a lookup table of different specification types and their corresponding type adjustment coefficients and type bias coefficients, which are obtained by the type database after pre-input.

[0059] For example, the type adjustment coefficient for a radiant outdoor heater is 1.0 and the type bias coefficient is 0.7; the type adjustment coefficient for a fan-type outdoor heater is 0.9 and the type bias coefficient is 0.4; and the type adjustment coefficient for a convection-type outdoor heater is 0.95 and the type bias coefficient is 0.5.

[0060] S203: Select and adjust the shape classification benchmark and weight classification benchmark according to the type bias coefficient to determine the size classification benchmark.

[0061] Among them, the size classification benchmark refers to a comprehensive reference scale for judging the risk level of equipment failure based on the equipment's external structure and its own gravity characteristics.

[0062] By analyzing the type bias coefficient, the shape classification benchmark and weight classification benchmark are selected and adjusted, thereby determining the size classification benchmark for convenient subsequent use.

[0063] S204: Adjust the size classification benchmark based on the type adjustment factor to form a type adjustment benchmark, and use the type adjustment benchmark as the specification classification benchmark.

[0064] Among them, the type adjustment benchmark refers to the final reference standard for determining the equipment failure risk level based on the specifications of outdoor heaters.

[0065] By calculating the product between the type adjustment coefficient and the end values ​​of each range in the size classification datum, and then using the product result as the type adjustment datum, and then using the type adjustment datum as the specification classification datum, the accuracy of the obtained specification classification datum is improved.

[0066] To further ensure the rationality of the shape classification benchmark, it is necessary to perform further separate analysis and calculation on the shape classification benchmark, which will be explained in detail through the steps shown below.

[0067] The method for determining the grading criteria for external shape includes the following steps: S300: Retrieves the specified height, base area, and heated area based on the specified dimensions.

[0068] The specification allows for the retrieval of the height, base area, and heated area, facilitating subsequent use.

[0069] S301: Determine the height classification benchmark based on the specified height value.

[0070] Among them, the height classification benchmark refers to the initial quantitative assessment that characterizes the degree of impact of the equipment's own height characteristics on operational stability.

[0071] The higher the specified height value and the higher the center of gravity, the greater the risk of overturning and the greater the damage at the same tilt angle. The specified height value is entered into a preset height classification database to obtain a height classification benchmark, facilitating subsequent use.

[0072] The height classification database pre-stores a table of different specification height values ​​and their corresponding height classification benchmarks. The height classification database is obtained after the operator pre-inputs the values.

[0073] S302: The external reference value is calculated based on the specified height value and the specified base area.

[0074] The external reference value refers to the ratio between the specified height and the specified base area. This value characterizes the ratio between the overall height and base area of ​​the equipment and its tendency to tip over. A higher value indicates a relatively slimmer and taller equipment, and a stronger inherent tendency to tip over under the same operating conditions.

[0075] By extracting the values ​​of the specified height and the specified base area, and calculating the ratio between the two values, a reference value for the shape is obtained, which is convenient for subsequent use.

[0076] S303: Calculate the ratio between the standard base area and the standard heated area and use it as the heating ratio value.

[0077] The heat-receiving ratio refers to the ratio between the area of ​​the base and the area of ​​the heated surface. This ratio characterizes the proportion of the heating surface to the base support surface, and helps assess the risk of high-temperature spillover when the equipment is tilted. A higher heat-receiving ratio indicates a greater outward expansion of the heating surface relative to the base, and a higher probability that the high-temperature area will come into contact with surrounding flammable materials at the same tilt angle.

[0078] Calculating the percentage of heat received facilitates subsequent use.

[0079] S304: Determine the shape adjustment coefficient by combining the shape reference value and the heat absorption ratio value.

[0080] Among them, the shape adjustment coefficient refers to the scaling factor used to correct the height classification benchmark.

[0081] The larger the shape reference value and the higher the heat-receiving ratio, the greater the correction range of the shape adjustment coefficient to the benchmark, and the stronger the tightening of the tilt angle threshold of the height grading benchmark, meaning the shape adjustment coefficient is less than 1. Conversely, the smaller the shape reference value and the lower the heat-receiving ratio, the smaller the correction range of the shape adjustment coefficient to the benchmark, and the weaker the tightening of the tilt angle threshold of the height grading benchmark, meaning the shape adjustment coefficient is closer to 1.

[0082] By using the shape reference value and the heat-receiving ratio value as input variables, and substituting them into a preset shape adjustment coefficient mapping table for matching, the shape adjustment coefficient is obtained.

[0083] The shape adjustment coefficient mapping table pre-stores different shape reference value ranges, heat distribution ratio ranges, and corresponding shape adjustment coefficients. The shape adjustment coefficient mapping table is obtained after pre-input by the operator.

[0084] S305: Adjust the height classification benchmark based on the shape adjustment factor and use it as the shape classification benchmark.

[0085] In this method, the accuracy of the obtained shape classification benchmark is improved by calculating the product between the shape adjustment coefficient and the end values ​​of each range in the height classification benchmark, and then using the product result as the shape classification benchmark.

[0086] To further ensure the rationality of the dimensional grading benchmark, it is necessary to perform further separate analysis and calculation on the dimensional grading benchmark, which will be explained in detail through the steps shown below.

[0087] The method for determining the dimensional grading datum includes the following steps: S400: Determine whether the type bias coefficient is greater than the preset shape reference coefficient. If yes, execute S401; if no, execute S405.

[0088] The shape reference coefficient refers to a preset boundary reference value used to classify the degree of emphasis on a particular type. The shape reference coefficient is obtained after being pre-input by the operator. For example, the shape reference coefficient can be set to 0.6.

[0089] By judging whether the type bias coefficient is greater than the preset shape reference coefficient, it can be determined whether the weight classification reference can be used directly.

[0090] S401: Determine the weight adjustment factor based on the type bias factor.

[0091] The weight adjustment factor refers to the scaling factor used to adjust the weight grading benchmark.

[0092] When the type bias coefficient is greater than the preset shape reference coefficient, it means that the weight classification reference cannot be used directly. Therefore, the difference between 1 and the type bias coefficient is calculated and the calculation result is used as the weight adjustment coefficient for convenient subsequent use.

[0093] S402: Determine the shape adjustment benchmark by combining the type bias coefficient and the shape classification benchmark.

[0094] Specifically, the product between the type bias coefficient and the end values ​​of each range in the shape classification benchmark is calculated, and the product result is used as the shape adjustment benchmark for convenient subsequent use.

[0095] S403: Determine the weight adjustment benchmark by combining the weight adjustment factor and the weight grading benchmark.

[0096] This involves calculating the product between the weight adjustment factor and the end values ​​of each range in the weight grading benchmark, and then using the product result as the weight adjustment benchmark for convenient subsequent use.

[0097] S404: Determine the comprehensive adjustment datum based on the shape adjustment datum and the weight adjustment datum, and use the comprehensive adjustment datum as the dimensional classification datum.

[0098] Specifically, by summing the end values ​​of each range in the shape adjustment datum and weight adjustment datum according to their corresponding levels, and combining the calculation results as a comprehensive adjustment datum, and then using the comprehensive adjustment datum as a size grading datum, the accuracy of the obtained size grading datum is improved.

[0099] S405: Use the weight grading datum as the size grading datum.

[0100] When the type bias coefficient is not greater than the preset shape reference coefficient, it means that the weight classification reference can be used directly. Therefore, the weight classification reference is used as the size classification reference.

[0101] To further ensure the rationality of the placement scene adjustment values, it is necessary to perform further separate analysis and calculation on the placement scene adjustment values, which will be explained in detail through the steps shown below.

[0102] The method for determining the placement scene adjustment value includes the following steps: S500: Determine the placement terrain and surrounding buildings based on the placement location.

[0103] The placement terrain refers to the physical shape and material properties of the ground surface at the actual location where the outdoor heater is placed. Placement terrain includes types such as mountains, parks, and urban residential areas. The surrounding building conditions refer to the distribution and attribute information of various buildings or structures within a certain range around the outdoor heater's placement location.

[0104] By retrieving the spatial coordinates of the placement location from the geographic information database, the surface type at the placement location is determined and used as the placement terrain. At the same time, based on the spatial coordinates, the building layer data within the surrounding preset radius is extracted, and the types, quantities, and coverage ratios of structures are statistically analyzed to obtain the surrounding building situation.

[0105] S501: Determine the terrain leveling adjustment value based on the placement terrain.

[0106] Among them, the terrain flatness adjustment value is a quantitative adjustment parameter that characterizes the impact of the flatness of the surface of the placement terrain on the operational risk level.

[0107] By inputting the placed terrain into a preset terrain leveling map, the terrain leveling adjustment value is matched and obtained, which facilitates subsequent use.

[0108] The terrain leveling mapping table is pre-set with different placement terrains and their corresponding terrain leveling adjustment values. The terrain leveling mapping table is obtained after the operator pre-inputs the values. The terrain leveling adjustment value corresponding to the placement terrain is closest to 1 when it is an urban residential area, followed by the terrain leveling adjustment value when it is a park, and the terrain leveling adjustment value corresponding to the placement terrain is the smallest.

[0109] S502: Retrieve building type and density based on surrounding buildings.

[0110] Among them, building type refers to the functional attribute classification of buildings or structures within a certain range around the outdoor heater placement location. Building types include residential buildings, commercial buildings, office buildings, schools, hospitals, sports venues, etc. Building density refers to the density of the distribution of buildings within a certain range around the outdoor heater placement location. Building density is a value between 0 and 1. The surrounding building situation includes building type and building density.

[0111] By placing information about surrounding buildings, the types and density of buildings can be retrieved for easier subsequent use.

[0112] S503: Determine the estimated population density based on the type of building.

[0113] The estimated population density refers to the estimated level of population density per unit area in the vicinity of the outdoor heater placement location under typical usage scenarios. The estimated population density is a value between 0 and 1.

[0114] By inputting building types into a preset building population database, the estimated population density can be obtained for convenient subsequent use.

[0115] The building population database pre-stores a table that corresponds to different building types and their estimated population density. The database is obtained by conducting statistical analysis based on the relationship between urban population distribution statistics and building functional attributes.

[0116] S504: Determine the population density adjustment value by combining the estimated population density and building density.

[0117] Among them, the crowd density adjustment value refers to the quantitative adjustment parameter that characterizes the impact of the degree of crowd gathering around the location of outdoor heaters on their operational risk level.

[0118] The estimated population density and building density are weighted and integrated according to a preset density weighting rule, and the calculation result is used as the population density adjustment value for convenient subsequent use.

[0119] The density weighting rules are preset by the operator. For example, the density weighting rules can assign a weight of 0.5 to the estimated population density and a weight of 0.5 to the building density.

[0120] S505: Calculate and determine the placement scene adjustment value based on the crowd density adjustment value and the terrain flatness adjustment value.

[0121] Specifically, by weighting and merging the crowd density adjustment value and the terrain flatness adjustment value according to the preset scene weight allocation rules, and using the calculation result as the placement scene adjustment value, the accuracy of the obtained placement scene adjustment value is improved.

[0122] Scene weighting rules are preset by the operator. For example, the scene weighting rules could be: a weight of 0.6 for dense crowds and a weight of 0.4 for flat terrain.

[0123] To further ensure the rationality of the fault control commands, it is necessary to perform further separate analysis and calculation on the fault control commands, which will be explained in detail through the steps shown below.

[0124] Reference Figure 3 The method for determining fault control commands includes the following steps: S600: Determine the initial tilt angle command based on the tilt angle risk assessment.

[0125] Among them, the initial tilt angle command refers to the initial level of fault control operation signal determined based on the tilt angle risk assessment.

[0126] By inputting the tilt angle prediction risk into the preset command mapping logic, the corresponding initial command is output based on the correspondence between the risk level and the initial protective action, and this initial command is used as the tilt angle initial command.

[0127] The instruction mapping logic adopts a multi-level judgment mechanism. When the tilt angle prediction risk is at the lowest level, the generated initial tilt angle instruction is to maintain the current operating state and not trigger any protective actions. When the tilt angle prediction risk is at the medium level, the generated initial tilt angle instruction is a power reduction operation instruction plus a low-frequency warning instruction, driving the equipment to reduce output power and issue a low-frequency audible and visual warning signal. When the tilt angle prediction risk is at the highest level, the generated initial tilt angle instruction is a power failure shutdown instruction plus a high-frequency alarm instruction, driving the equipment to immediately cut off the main power supply circuit and issue a high-frequency audible and visual alarm signal.

[0128] S601: Determine whether the estimated tilt angle risk is the preset initial tilt angle risk. If yes, proceed to S602; if no, proceed to S606.

[0129] Here, initial tilt risk refers to a pre-set baseline risk level. Initial tilt risk is preset by the operator. In this embodiment, initial tilt risk is the lowest level.

[0130] By determining whether the estimated tilt angle risk is the same as the preset initial tilt angle risk, it can be determined whether further risk warning analysis is needed.

[0131] S602: Collect relevant parameters of the outdoor heater during operation.

[0132] Among them, the relevant parameters of the outdoor heater refer to the set of various operating parameters that reflect the internal working state of the device and its interaction with the external environment during operation. These parameters include internal and external parameters. Internal parameters characterize the electrical and thermal working state of the device, including core temperature data, leakage current data, and main circuit overload data. External parameters refer to the parameters governing the interaction between the device and the external environment, including water ingress humidity data and ambient wind speed data.

[0133] The internal parameters of the unit are obtained by querying the outdoor heater, while the external parameters of the unit are obtained by detecting sensors such as humidity and wind speed that are preset on the outdoor heater.

[0134] When the tilt angle risk is the same as the preset initial tilt angle risk, it indicates that further risk warning analysis is needed. Therefore, relevant parameters of the machine are collected for subsequent use.

[0135] S603: Determine the body reference parameters according to the specifications.

[0136] Among them, the body reference parameters refer to the set of standard reference values ​​that characterize the various operating parameters of an outdoor heater under normal working conditions.

[0137] By inputting the specifications into a preset body specification database, the body's baseline parameters are matched to facilitate subsequent use.

[0138] The machine specification database pre-stores a table of different specification parameters and their corresponding reference parameters, such as the core reference temperature, circuit leakage reference current, main circuit reference overload, shell water ingress reference humidity, and ambient reference wind speed. The machine specification database is obtained after the operator pre-inputs the parameters.

[0139] S604: Determine the influence value of relevant deviations by combining relevant body parameters with body baseline parameters.

[0140] Among them, the relevant deviation impact value refers to the comprehensive quantitative index that characterizes the deviation of the current operating state of the outdoor heater from the normal operating state.

[0141] By combining and analyzing relevant parameters of the machine body with its baseline parameters, the influence value of relevant deviations can be determined, facilitating subsequent use.

[0142] S605: Combine the relevant deviation influence value with the initial tilt angle command to determine the tilt angle adjustment command, and use the tilt angle adjustment command as the fault control command.

[0143] The tilt angle adjustment command refers to the final fault control operation signal determined after adjusting the initial tilt angle command.

[0144] By combining the analysis of the relevant deviation influence values ​​with the initial tilt angle command, the tilt angle adjustment command is determined and used as the fault control command, thereby improving the accuracy of the obtained fault control command.

[0145] S606: Use the tilt angle initial command as a fault control command.

[0146] When the tilt angle prediction risk is not the preset initial tilt angle risk, it means that no further risk warning analysis is needed at this time, so the initial tilt angle command is used as the fault control command.

[0147] To further ensure the rationality of the relevant deviation impact values, it is necessary to perform further separate analysis and calculation on the relevant deviation impact values, which will be explained in detail through the steps shown below.

[0148] The method for determining the influence value of relevant deviations includes the following steps: S700: Retrieves internal and external parameters of the machine body based on relevant machine body parameters.

[0149] Among them, the internal and external parameters of the machine can be retrieved through relevant machine parameters to facilitate subsequent use.

[0150] S701: Retrieves internal and external reference parameters based on the body's reference parameters.

[0151] Internal reference parameters refer to the reference parameters of the electrical and thermal operating state of the equipment under normal operating conditions. External reference parameters refer to the reference parameters of the interaction state between the equipment and the external environment under normal operating conditions. The body reference parameters include both internal and external reference parameters.

[0152] The internal and external reference parameters can be retrieved by using the body's reference parameters, which facilitates subsequent use.

[0153] S702: Determine the internal deviation based on the comparison results between the internal parameters of the machine body and the internal reference parameters.

[0154] Among them, the internal deviation refers to the comprehensive descriptive information that characterizes the deviation of each dimension of the internal working state of the outdoor heater from the normal operating standard value.

[0155] The real-time values ​​of each internal parameter are compared one by one with the corresponding standard reference values ​​in the internal baseline parameters. The deviation of each pair of parameters is calculated, and the calculated deviation is compared with the preset deviation judgment threshold. When the deviation is less than the judgment threshold, it is determined that there is no internal deviation in that dimension. When the deviation is greater than or equal to the judgment threshold, it is determined that there is an internal deviation in that dimension. The type and degree of deviation corresponding to that dimension are recorded. The judgment results of each dimension are summarized to form the internal deviation situation for subsequent use.

[0156] S703: Determine the external deviation based on the comparison results between the external parameters of the machine body and the external reference parameters.

[0157] Among them, the external deviation refers to the comprehensive descriptive information that characterizes the deviation of various dimensions of the external working state of the outdoor heater from the normal operating standard value.

[0158] Each real-time value of the external parameters of the machine is compared with the corresponding standard reference value in the external benchmark parameters one by one. The deviation of each pair of parameters is calculated and compared with the preset deviation judgment threshold. When the deviation is less than the judgment threshold, it is determined that there is no internal deviation in that dimension. When the deviation is greater than or equal to the judgment threshold, it is determined that there is an internal deviation in that dimension. The type and degree of deviation corresponding to that dimension are recorded. The judgment results of each dimension are summarized to form the external deviation situation for convenient use in the future.

[0159] S704: Determine whether both internal and external deviations exist. If yes, proceed to S705; if no, proceed to S706.

[0160] In this process, it is determined whether both internal and external deviations exist, thereby identifying any potential mutual influence.

[0161] S705: Determine the combined internal and external impact value by combining the internal and external deviation conditions, and use the combined internal and external impact value as the relevant deviation impact value.

[0162] Among them, the comprehensive internal and external impact value refers to the comprehensive quantitative index that characterizes the overall deviation of the equipment under the coupling effect of internal and external deviations.

[0163] When both internal and external deviations exist, they may influence each other. Therefore, it is necessary to combine the analysis of internal and external deviations to determine the comprehensive internal and external influence value and use it as the relevant deviation influence value to improve the accuracy of the obtained relevant deviation influence value.

[0164] S706: Select either the existing internal deviation or the external deviation as the single deviation case.

[0165] Among them, the single deviation case refers to the deviation case when only internal deviation or external deviation exists.

[0166] When internal and external deviations do not both exist, there is no mutual influence. Therefore, either the existing internal or external deviation can be selected as a single deviation for convenient subsequent use.

[0167] S707: Determine the single impact value based on the single deviation situation, and use the single impact value as the relevant deviation impact value.

[0168] Among them, the single impact value refers to a comprehensive quantitative indicator that characterizes the degree to which the operating status deviates from normal operation when there is only a single type of deviation in the equipment.

[0169] By retrieving the specific types of deviations and their corresponding deviation values ​​from a single deviation case, and then querying the corresponding type benchmark coefficient from a preset deviation benchmark coefficient mapping table for each type of deviation, the type benchmark coefficient corresponding to each type of deviation is multiplied by the deviation value and then summed to obtain a single influence value. This single influence value is then used as the related deviation influence value, thereby improving the accuracy of the obtained related deviation influence values.

[0170] The deviation benchmark coefficient mapping table is pre-stored with different types of deviations and their corresponding benchmark coefficients. The deviation benchmark coefficient mapping table is obtained after pre-input.

[0171] To further ensure the rationality of the combined internal and external impact values, it is necessary to conduct a further separate analysis and calculation of the combined internal and external impact values, which will be explained in detail through the steps shown below.

[0172] Reference Figure 4 The method for determining the combined internal and external impact value includes the following steps: S800: Retrieves the type and value of internal deviation based on the internal deviation situation.

[0173] The internal deviation details include the types of internal deviations and their values.

[0174] The internal deviation information allows for the retrieval of internal deviation types and values, facilitating subsequent use.

[0175] S801: Determine the internal type benchmark coefficient based on the type of internal deviation.

[0176] Among them, the internal type benchmark coefficient refers to the weighting factor that characterizes the degree of impact of deviations in various internal operating parameters on the overall operational safety of the equipment.

[0177] By inputting the internal deviation types into a preset deviation benchmark coefficient mapping table, the internal type benchmark coefficients are matched and obtained, which facilitates subsequent use.

[0178] S802: Retrieve the type and value of external deviation based on the external deviation situation.

[0179] The external deviation situation includes the type of external deviation and the value of external deviation.

[0180] The external deviation information allows for the retrieval of the types and values ​​of external deviations, facilitating subsequent use.

[0181] S803: Determine the external type reference coefficient based on the type of external deviation.

[0182] Among them, the external type benchmark coefficient refers to the weighting factor that characterizes the degree of impact of deviations in various external operating parameters on the overall operational safety of the equipment.

[0183] External deviation types are entered into a preset deviation benchmark coefficient mapping table to obtain the external type benchmark coefficient, which facilitates subsequent use.

[0184] S804: Determine whether the types of internal deviations and external deviations affect each other. If yes, proceed to S805; if no, proceed to S808.

[0185] Mutual influence refers to the physical or logical coupling relationship between the types of internal deviations and the types of external deviations of outdoor heaters.

[0186] By simultaneously inputting internal and external deviation types into a preset influence combination type database for matching, mutual influence exists when a match is found, and mutual influence does not exist when no match is found.

[0187] The database of influencing combination types pre-stores combinations of mutually influential internal and external deviation types, along with their corresponding adjustment weights. This database is obtained after pre-input by the operator. The adjustment weights are proportional factors used to correct the baseline coefficients of the internal and external types.

[0188] For example, the database of influencing combination types can store combinations of organism core temperature data and ambient wind speed data, with a corresponding adjustment weight of 1.2. Combinations of line leakage current data and casing water ingress humidity data have a corresponding adjustment weight of 1.3.

[0189] S805: Determine the adjustment weight by combining the types of internal and external deviations.

[0190] When internal deviation types and external deviation types influence each other, the corresponding adjustment weights are obtained by inputting the internal deviation types and external deviation types into the influence combination type database for matching, which facilitates subsequent use.

[0191] S806: Adjust the internal and external category benchmark coefficients based on the adjustment weights to form the internal and external category adjustment coefficients.

[0192] Among them, the internal and external category adjustment coefficients refer to the set of coefficients corresponding to the adjustment of the internal category benchmark coefficients and the external category benchmark coefficients.

[0193] The adjustment weights are calculated by multiplying the internal category benchmark coefficients and the external category benchmark coefficients respectively, and the results are used as the internal and external category adjustment coefficients for convenient subsequent use.

[0194] S807: Combine internal and external type adjustment coefficients, internal deviation value and external deviation value to determine the adjustment impact value, and use the adjustment impact value as the comprehensive internal and external impact value.

[0195] Among them, the adjustment impact value is a quantitative indicator used to characterize the comprehensive impact of internal and external deviations under coupling effect.

[0196] By multiplying the internal and external deviation values ​​of each category by the corresponding internal and external category adjustment coefficients and then summing them, the final calculation result is used as the adjustment impact value, and the adjustment impact value is used as the comprehensive internal and external impact value, thus improving the accuracy of the obtained comprehensive internal and external impact value.

[0197] S808: Combine the internal category benchmark coefficient, the external category benchmark coefficient, the internal deviation value and the external deviation value to determine the benchmark influence value, and use the benchmark influence value as the comprehensive internal and external influence value.

[0198] Among them, the benchmark influence value refers to a quantitative indicator used to characterize the comprehensive influence of internal and external deviations acting alone.

[0199] When there is no mutual influence between internal and external deviation types, the product between the internal deviation value and the internal type benchmark coefficient for each type is calculated, and the product between the external deviation value and the corresponding external type benchmark coefficient is also calculated. The sum of these products is then used as the benchmark influence value, which is then used as the comprehensive internal and external influence value, thereby improving the accuracy of the obtained comprehensive internal and external influence value.

[0200] To further ensure the rationality of the tilt adjustment command, it is necessary to perform a more detailed separate analysis and calculation on the tilt adjustment command, which will be explained in detail through the steps shown below.

[0201] The method for determining the tilt adjustment command includes the following steps: S900: Determine whether the relevant deviation influence value is less than the preset deviation benchmark influence value. If yes, execute S901; if no, execute S902.

[0202] The deviation reference influence value refers to the minimum reference limit at which the current operating state deviates significantly from the initial tilt angle command, necessitating adjustment. This deviation reference influence value is preset by the operator.

[0203] By judging whether the relevant deviation influence value is less than the preset deviation reference influence value, it can be determined whether the initial tilt angle command needs to be adjusted.

[0204] S901: Use the initial tilt command as the tilt adjustment command.

[0205] When the relevant deviation influence value is less than the preset deviation reference influence value, it means that there is no need to adjust the initial tilt angle command at this time, so the initial tilt angle command is used as the tilt angle adjustment command.

[0206] S902: Calculate the difference between the relevant deviation influence value and the deviation baseline influence value and use it as the influence deviation value.

[0207] Among them, the influence deviation value refers to the difference between the relevant deviation influence value and the deviation benchmark influence value.

[0208] When the influence value of the relevant deviation is not less than the preset influence value of the deviation reference, it means that the initial tilt angle command needs to be adjusted. Therefore, the influence deviation value is calculated for subsequent use.

[0209] S903: Determine the impact deviation adjustment level based on the impact deviation value.

[0210] Among them, the influence deviation adjustment level refers to the level of force used to upgrade and adjust the initial tilt angle command.

[0211] The calculated impact deviation value is input into a preset deviation level mapping logic for interval matching. The level identifier corresponding to the level interval into which the value falls is used as the impact deviation adjustment level output.

[0212] The deviation level mapping logic pre-stores the correspondence between multiple ranges of influence deviation values ​​and adjustment levels. The boundary values ​​of each range and the corresponding number of levels are calibrated based on experimental evaluation of the actual risk level of the equipment under different degrees of deviation and safety standard requirements.

[0213] For example, if the deviation value is less than 0.3, no adjustment is needed; if it is greater than or equal to 0.3 and less than 0.6, an additional level should be added; if it is greater than or equal to 0.6 and less than 1.0, an additional level should be added.

[0214] S904: Adjust the initial tilt command according to the influence deviation adjustment level to determine the influence deviation adjustment command, and use the influence deviation adjustment command as the tilt adjustment command.

[0215] Among them, the influence deviation adjustment command refers to the command corresponding to the tilt angle adjustment command after adjustment.

[0216] The initial tilt angle command is adjusted according to the impact deviation adjustment level, and the adjusted risk level command is used as the impact deviation adjustment command. Then, the impact deviation adjustment command is used as the tilt angle adjustment command to improve the accuracy of the obtained tilt angle adjustment command.

[0217] Based on the same inventive concept, embodiments of the present invention provide an outdoor heater fault self-diagnosis and graded safety protection system, comprising: The data acquisition module is used to collect specifications, placement location, fuselage tilt angle, and other relevant parameters of the aircraft. The memory stores a program for implementing a self-diagnosis and graded safety protection method for outdoor heater malfunctions as described above. The processor loads and executes programs stored in memory.

[0218] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0219] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for self-diagnosis and graded safety protection of outdoor heater malfunctions, characterized in that, include: Collect the specifications, location, and tilt angle of the outdoor heater during operation; Determine the specification grading benchmark based on the specification parameters; Determine the placement scene adjustment value based on the placement location point; The specification grading benchmark is adjusted based on the placement scenario adjustment value to form a scenario grading benchmark; The tilt angle prediction risk is determined based on the comparison results between the fuselage tilt angle parameters and the scenario classification benchmark; Based on the tilt angle, the risk is estimated, and the fault control instructions are determined and executed.

2. The method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 1, characterized in that, The methods for determining the specification grading criteria include: Retrieve specification dimensions and specification type based on specification parameters; Determine the grading criteria for shape and weight based on the specifications and dimensions; Determine the type adjustment coefficient and type bias coefficient based on the specification type; The dimensional grading datum is determined by selecting and adjusting the shape grading datum and weight grading datum based on the type bias coefficient. The size classification benchmark is adjusted based on the type adjustment factor to form a type adjustment benchmark, and the type adjustment benchmark is used as the specification classification benchmark.

3. The method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 2, characterized in that, The methods for determining the grading criteria for external shape include: Retrieve the specification height value, specification base area, and specification heated area based on the specification dimensions; Determine the height grading benchmark based on the specified height value; The external reference value is calculated based on the specified height value and the specified base area; Calculate the ratio between the standard base area and the standard heated area, and use it as the heating ratio. The shape adjustment coefficient is determined by combining the shape reference value and the heat absorption ratio value. The height classification benchmark is adjusted based on the shape adjustment factor and used as the shape classification benchmark.

4. The method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 2, characterized in that, Methods for determining dimensional grading standards include: Determine whether the type bias coefficient is greater than the preset shape reference coefficient; If so, the weight adjustment factor is determined based on the type bias factor; The shape adjustment benchmark is determined by combining the type bias coefficient and the shape classification benchmark. The weight adjustment criterion is determined by combining the weight adjustment factor with the weight grading criterion; A comprehensive adjustment datum is determined based on the shape adjustment datum and the weight adjustment datum, and this comprehensive adjustment datum is used as the dimensional classification datum. If not, then the weight grading criterion will be used as the size grading criterion.

5. The method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 1, characterized in that, The methods for determining the placement scene adjustment values ​​include: Determine the placement location based on the terrain and surrounding buildings. Determine the terrain leveling adjustment value based on the placement terrain; Based on the surrounding buildings, retrieve the building type and building density; Determine the estimated population density based on building type; The population density adjustment value is determined by combining the estimated population density and building density. The placement scene adjustment value is calculated and determined based on the crowd density adjustment value and the terrain flatness adjustment value.

6. The method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 1, characterized in that, The methods for determining fault control commands include: Determine the initial tilt angle command based on the tilt angle risk assessment; Determine whether the estimated tilt angle risk is the same as the preset initial tilt angle risk; If so, collect relevant parameters of the outdoor heater during its operation; Determine the basic parameters of the machine body based on the specifications; Determine the influence value of relevant deviations by combining relevant body parameters with body baseline parameters; The tilt adjustment command is determined by combining the relevant deviation influence value and the initial tilt command, and the tilt adjustment command is used as the fault control command; If not, the tilt angle initial command will be used as the fault control command.

7. The method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 6, characterized in that, Methods for determining the influence value of relevant deviations include: Retrieve internal and external parameters of the machine based on relevant machine parameters; Retrieve internal and external reference parameters based on the body's reference parameters; Based on the comparison results between the internal parameters of the machine body and the internal reference parameters, the internal deviation is determined; Based on the comparison results between the external parameters of the machine body and the external reference parameters, the external deviation is determined; Determine whether both internal and external deviations exist; If so, the combined internal and external impact value is determined by combining the internal and external deviations, and the combined internal and external impact value is used as the relevant deviation impact value; If not, then either the existing internal deviation or the external deviation is selected as the single deviation case; The single influence value is determined based on the single deviation, and the single influence value is used as the influence value of the relevant deviation.

8. The method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 7, characterized in that, The methods for determining the combined internal and external impact value include: Retrieve the types and values ​​of internal deviations based on the internal deviation situation; Determine the internal category benchmark coefficient based on the type of internal deviation; Retrieve the types and values ​​of external deviations based on the external deviation situation; Determine the external type benchmark coefficient based on the type of external deviation; Determine whether the types of internal and external deviations influence each other; If so, the adjustment weight is determined by combining the types of internal and external deviations; The internal and external category benchmark coefficients are adjusted based on the adjustment weights to form the internal and external category adjustment coefficients; The adjustment impact value is determined by combining the internal and external type adjustment coefficients, internal deviation value and external deviation value, and the adjustment impact value is used as the comprehensive internal and external impact value; If not, then the benchmark influence value is determined by combining the internal category benchmark coefficient, the external category benchmark coefficient, the internal deviation value, and the external deviation value, and the benchmark influence value is used as the comprehensive internal and external influence value.

9. A method for self-diagnosis and graded safety protection of outdoor heater malfunctions according to claim 6, characterized in that, The methods for determining tilt adjustment commands include: Determine whether the relevant deviation impact value is less than the preset deviation benchmark impact value; If so, the initial tilt command will be used as the tilt adjustment command; If not, calculate the difference between the relevant deviation impact value and the deviation benchmark impact value and use it as the impact deviation value; Determine the adjustment level for the impact deviation based on the impact deviation value; The initial tilt command is adjusted according to the influence deviation adjustment level to determine the influence deviation adjustment command, and the influence deviation adjustment command is used as the tilt adjustment command.

10. A self-diagnosis and graded safety protection system for outdoor heater malfunctions, characterized in that, include: The data acquisition module is used to collect specifications, placement location, fuselage tilt angle, and other relevant parameters of the aircraft. The memory stores a program for implementing the self-diagnosis and graded safety protection method for outdoor heater faults as described in any one of claims 1 to 9; The processor loads and executes programs stored in memory.

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