Electric heat tracing automatic control method and system based on edge calculation

Abstract

The invention relates to the technical field of electric heat tracing, in particular to an electric heat tracing automatic control method and system based on edge calculation, and the method comprises the steps: confirming a plurality of temperature detection points on an electric heat tracing pipeline according to a detection distance, obtaining a target temperature coordinate set through a temperature detection unit set and the plurality of temperature detection points, determining a plurality of temperature prediction points on the electric heat tracing pipeline, obtaining a grouped temperature coordinate set based on the plurality of temperature prediction points and a target temperature coordinate set, and determining a plurality of management areas on the electric heat tracing pipeline based on the pipeline management instruction and the grouped temperature coordinate set, adjusting power is obtained based on the parameter adjusting instruction and the management area, and automatic control over the electric heat tracing pipeline is achieved based on preset adjusting frequency and the adjusting power. According to the invention, the electric heat tracing pipeline can be accurately controlled.

Description

Technical Field

[0001] The present invention relates to the technical field of electric heating, and in particular to an electric heating automatic control method and system based on edge computing. Background Art

[0002] With the development of modern industry, electric heating systems have been widely used in petroleum, chemical, electric power, metallurgy and other fields. Among them, electric heating systems are often used to control the temperature in pipelines. On the contrary, how to accurately control the electric heating pipelines plays an indispensable role in the normal and effective operation of the electric heating pipelines.

[0003] At present, the electric heating pipeline is mainly controlled manually or automatically by setting the temperature range.

[0004] Although the above method can realize the control of electric heating pipes, the relationship between the temperature required for the electric heating pipes and the ambient temperature is not considered when controlling the electric heating pipes, and the regional management of the electric heating pipes is not considered. As a result, there is a problem of energy waste when controlling the electric heating pipes. Therefore, how to achieve accurate control of electric heating pipes has become a problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides an electric heating automatic control method based on edge computing and a computer-readable storage medium, the main purpose of which is to achieve accurate control of electric heating pipelines.

[0006] To achieve the above object, the present invention provides an electric heating automatic control method based on edge computing, comprising: receiving an automatic control instruction, and confirming an automatic control environment based on the automatic control instruction, wherein the automatic control environment includes an automatic control system and an electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit, and a parameter adjustment unit; Confirming receipt of a pipeline division instruction from a pipeline division unit, acquiring a detection distance for setting a pipeline temperature detection point based on the pipeline division instruction, and confirming a plurality of temperature detection points on the electric heating pipeline according to the detection distance; The following operations are performed for each of the multiple temperature detection points: Confirming receipt of a temperature measurement instruction from a temperature measurement unit, confirming a temperature detection unit set based on the temperature measurement instruction, obtaining a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtaining detection coordinates of the temperature detection point, performing a marking operation on the detection coordinates using the target ambient temperature to obtain a target temperature coordinate, and summarizing the target temperature coordinates to obtain a target temperature coordinate set; A prediction distance for predicting the temperature of the electric heating pipeline is obtained. Based on the prediction distance, multiple temperature prediction points are identified on the electric heating pipeline. The following operations are performed on each of the multiple temperature prediction points: Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates; Confirming receipt of a pipeline management instruction from a pipeline management unit, based on the pipeline management instruction and the grouped temperature coordinate set, identifying multiple management areas on the electric heating pipeline, and performing the following operations on each of the multiple management areas: confirming receipt of a parameter adjustment instruction from a parameter adjustment unit, and acquiring an adjustment power based on the parameter adjustment instruction and the management area; Automatic control of the electric heating pipeline is achieved based on the preset adjustment frequency and the adjustment power.

[0007] Optionally, acquiring the target ambient temperature by using the temperature detection unit set and the temperature detection point includes: Acquire a detection temperature set based on the temperature detection unit set and the temperature detection points, wherein the detection temperature set includes a plurality of detection temperatures, and the detection temperatures correspond one to one with the temperature detection units; Acquire a detection temperature variance using the detection temperature set, wherein the detection temperature variance is a variance of a plurality of detection temperatures, and compare the detection temperature variance with a preset detection temperature threshold; If the detected temperature variance is less than the detected temperature threshold, the detected temperature set is used to obtain a detected temperature mean, and the detected temperature mean is used as the target ambient temperature, wherein the detected temperature mean is the mean of multiple detected temperatures in the detected temperature set; Otherwise, the target ambient temperature is obtained using the detected temperature set.

[0008] Optionally, acquiring the target ambient temperature by using the detected temperature set includes: The detected temperatures are extracted in sequence from the detected temperature set, and the following operations are performed on the extracted detected temperatures: Based on the extracted detection temperatures, a screening temperature set is identified in the detection temperature set, wherein the screening temperature set is a complement of the extracted detection temperatures in the detection temperature set; The screening evaluation value is calculated using the extracted detection temperature, screening temperature set and pre-built screening relationship, where the screening relationship is as follows: , in, Indicates the screening evaluation value, represents the extracted detection temperature, Indicates the screening temperature concentration A detection temperature, Indicates that the total number of screening temperature sets is Detection temperature; Summarizing the screening evaluation values ​​to obtain a screening evaluation value set, performing a sorting operation on the screening evaluation values ​​in the screening evaluation value set in descending order to obtain a screening evaluation sequence, removing the detection temperature corresponding to the first screening evaluation value in the screening evaluation sequence to obtain a target evaluation sequence, and confirming an updated temperature set according to the target evaluation sequence, wherein the updated temperature set includes multiple detection temperatures, and the detection temperatures correspond to the screening evaluation values ​​in the target evaluation sequence one by one; The updated temperature set is used as the detection temperature set, and the process returns to the step of obtaining the detection temperature variance by using the detection temperature set until the target ambient temperature is obtained.

[0009] Optionally, acquiring predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set includes: The temperature prediction point is used to obtain the prediction coordinates, and the predicted temperature is calculated based on the prediction coordinates, the target temperature coordinate set and the pre-constructed temperature prediction relationship, wherein the temperature prediction relationship is as follows: , in, represents the predicted temperature, represents the predicted coordinates, Indicates the target temperature coordinate set The target ambient temperature corresponding to the target temperature coordinate, Indicates the target temperature coordinate set The detection coordinates corresponding to the target temperature coordinates, Indicates that the target temperature coordinate set has Target temperature coordinates; The predicted temperature and the predicted coordinates are used to obtain the predicted temperature coordinates.

[0010] Optionally, based on the pipeline management instruction and the grouped temperature coordinate set, a plurality of management areas are identified on the electric heating pipeline, including: The pipeline management instruction is parsed to obtain a standard grouping template, wherein the standard grouping template is as follows: , in, represents the standard grouping template, represents the coordinates of a point, Indicates temperature; The grouped temperature coordinates are extracted from the grouped temperature coordinate set in sequence, and the following operations are performed on the extracted grouped temperature coordinates: Mapping the detection coordinates and target ambient temperature or the predicted coordinates and predicted temperature corresponding to the grouped temperature coordinates to the standard grouping template to obtain target grouping data, and summarizing the target grouping data to obtain a target grouping data set; A pipeline curve is obtained based on the electric heating pipeline, and a plurality of management areas are identified using the target grouping data set and the pipeline curve.

[0011] Optionally, the identifying multiple management areas using the target grouping data set and the pipeline curve includes: Using a pre-built k-means clustering algorithm, clustering the target group data set into a plurality of initial management clusters, wherein the initial management cluster includes a plurality of target group data; The following operations are performed for each of the multiple initial management clusters: Acquire a management cluster sequence number based on the initial management cluster, and use the management cluster sequence number to perform a marking operation on each of the multiple target group data corresponding to the initial management cluster to obtain marked group data; Mapping the identification group data to the pipeline curve, dividing the mapped pipeline curve into a plurality of group areas according to the management cluster ordinal number corresponding to the identification group data, and the group areas correspond to the initial management clusters one by one; For each of the multiple grouping areas, perform the following operations: The distance between the grouping areas in the pipeline curve is obtained to obtain the grouping distance, and the plurality of management areas are identified using the grouping distance.

[0012] Optionally, the identifying a plurality of management areas by using the grouping distance includes: Dividing the electric heating pipeline into a plurality of first management areas using a preset pipeline management threshold, wherein the distance corresponding to each first management area is the pipeline management threshold; According to the grouping area, one or more second management areas are retrieved from the plurality of first management areas, and the distance corresponding to the second management area is the pipeline management threshold; The following operations are performed for each of the one or more second management areas: Acquire one or more overlapping areas based on the second management area and the grouping area corresponding to the grouping distance, wherein the overlapping area is the intersection of the second management area and the grouping area; For each of the one or more overlapping regions, perform the following operations: If the distance corresponding to the overlapping area is the pipeline management threshold, the overlapping area is used as the third management area; If the distance corresponding to the overlapping area is less than the pipeline management threshold, the distance of the overlapping area is obtained to obtain the overlapping distance, and the pipeline residual value is calculated using the overlapping distance and the pipeline management threshold; comparing the pipeline residual value with a preset residual value threshold; If the pipeline residual value is less than or equal to the residual value threshold, the overlapping area is removed from the grouping area corresponding to the grouping distance, and the first grouping area is confirmed in the second management area corresponding to the overlapping area, and the first grouping area is updated with the removed overlapping area to obtain the fifth management area; If the pipeline residual value is greater than the residual value threshold, a search temperature is obtained based on the second management area corresponding to the overlapping area, wherein the search temperature is an average of multiple target ambient temperatures and multiple predicted temperatures in the second management area; Using the overlapping area, a first grouping area is identified in the second management area corresponding to the overlapping area, and a grouping temperature is obtained using a plurality of target ambient temperatures and a plurality of predicted temperatures corresponding to the first grouping area, wherein the grouping temperature is an average of the plurality of target ambient temperatures and the plurality of predicted temperatures; Obtaining an overlapping temperature using the overlapping area, wherein the overlapping temperature is an average of one or more predicted temperatures and one or more target ambient temperatures corresponding to the overlapping area; Calculate the absolute difference between the grouping temperature and the search temperature and the absolute difference between the overlapping temperature and the search temperature respectively, obtain the first adjacent temperature and the second adjacent temperature, and obtain the target adjacent temperature based on the first adjacent temperature and the second adjacent temperature, wherein the target adjacent temperature is the minimum value of the first adjacent temperature and the second adjacent temperature; A third grouping area is identified based on the target proximity temperature, and the second management area corresponding to the overlapping area is updated using the third grouping area to obtain a fourth management area; The third management area, the fourth management area, and the fifth management area are aggregated to obtain a plurality of management areas.

[0013] Optionally, the pipeline residual value is calculated using the overlap distance and the pipeline management threshold, and the calculation formula is as follows: , in, Indicates the pipeline residual value, represents the overlap distance, Indicates the pipe management threshold.

[0014] Optionally, the acquiring the adjustment power based on the parameter adjustment instruction and the management area includes: The parameter adjustment instruction is parsed to obtain the target temperature, and the adjustment power is obtained using the target temperature and the management area. The calculation formula is as follows: , in, For the regulated power, represents the target temperature, Indicates the target ambient temperature and predicted temperature corresponding to the management area indivual, Indicates the target ambient temperature and predicted temperature corresponding to the management area. A fitting temperature, and the fitting temperature is the target ambient temperature or predicted temperature, represents the heat loss coefficient, Indicates the distance corresponding to the management area. represents the correction factor, Indicates the efficiency of the electric heat tracing system.

[0015] To achieve the above object, the present invention also provides an electric heating automatic control system based on edge computing, comprising: The electric heating pipeline confirmation module is used to receive the automatic control instruction and confirm the automatic control environment based on the automatic control instruction, wherein the automatic control environment includes the automatic control system and the electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit and a parameter adjustment unit; The electric heating pipeline monitoring module is used to confirm the receipt of the pipeline division instruction from the pipeline division unit, obtain the detection distance for setting the pipeline temperature detection point based on the pipeline division instruction, and confirm multiple temperature detection points on the electric heating pipeline according to the detection distance; The following operations are performed for each of the multiple temperature detection points: Confirming receipt of a temperature measurement instruction from a temperature measurement unit, confirming a temperature detection unit set based on the temperature measurement instruction, obtaining a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtaining detection coordinates of the temperature detection point, performing a marking operation on the detection coordinates using the target ambient temperature to obtain a target temperature coordinate, and summarizing the target temperature coordinates to obtain a target temperature coordinate set; A prediction distance for predicting the temperature of the electric heating pipeline is obtained. Based on the prediction distance, multiple temperature prediction points are identified on the electric heating pipeline. The following operations are performed on each of the multiple temperature prediction points: Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates; The electric heating pipeline dynamic division module is used to confirm the pipeline management instruction received from the pipeline management unit, and based on the pipeline management instruction and the grouped temperature coordinate set, multiple management areas are confirmed on the electric heating pipeline, and the following operations are performed on each of the multiple management areas: The electric heating pipeline dynamic adjustment module is used to confirm the reception of the parameter adjustment instruction from the parameter adjustment unit, and obtain the adjustment power based on the parameter adjustment instruction and the management area; Automatic control of the electric heating pipeline is achieved based on the preset adjustment frequency and the adjustment power.

[0016] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising: a memory storing at least one instruction; and The processor executes the instructions stored in the memory to implement the above-mentioned electric heating automatic control method based on edge computing.

[0017] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned electric heating automatic control method based on edge computing.

[0018] The present invention is to solve the problem described in the background technology. The present invention confirms receiving a pipeline division instruction from a pipeline division unit, obtains a detection distance for setting a pipeline temperature detection point based on the pipeline division instruction, and confirms multiple temperature detection points on the electric heating pipeline according to the detection distance. It can be seen that before the present invention automatically controls the electric heating pipeline, the working conditions of the electric heating pipeline in different environments or under different conditions are considered. Therefore, multiple temperature detection points for temperature detection are confirmed on the electric heating pipeline, and then, the temperature measurement instruction from the temperature measurement unit is confirmed. Based on the temperature measurement instruction, a temperature detection unit set is confirmed, which is beneficial to The target ambient temperature is obtained by using a temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, the detection coordinates of the temperature detection point are obtained, the detection coordinates are marked using the target ambient temperature, the target temperature coordinates are obtained, the target temperature coordinates are summarized, and the target temperature coordinate set is obtained. It can be seen that the present invention takes into account the problem that the temperature detection unit may have a fault when measuring the temperature at the temperature detection point. Therefore, the obtained target ambient temperature is made more accurate through iteration, thereby laying a foundation for the subsequent regional control of the electric heating pipeline, and obtaining the temperature prediction of the electric heating pipeline. Based on the predicted distance, multiple temperature prediction points are identified on the electric heating pipeline, predicted temperature coordinates are obtained based on the temperature prediction points and the target temperature coordinate set, the predicted temperature coordinates and the target temperature coordinate set are summarized to obtain a grouped temperature coordinate set, and the pipeline management instruction from the pipeline management unit is confirmed to be received. Based on the pipeline management instruction and the grouped temperature coordinate set, multiple management areas are identified on the electric heating pipeline. It can be seen that the embodiment of the present invention also considers predicting the temperature that cannot be measured, and the electric heating pipeline is fitted into multiple management areas through the grouped temperature coordinate set, so as to realize the regional management of the electric heating pipeline, and perform And, to improve the accuracy of controlling the electric heating pipeline, confirm the reception of the parameter adjustment instruction from the parameter adjustment unit, obtain the adjustment power based on the parameter adjustment instruction and the management area, and realize the automatic control of the electric heating pipeline based on the preset adjustment frequency and the adjustment power. It can be seen that the embodiment of the present invention combines the actual situation of the management area when managing the management area. Therefore, the adjustment frequency is calculated by the management area to realize the zoning management of different management areas. When managing, it is also considered that factors such as the environment may change. Therefore, the dynamic division and dynamic control of the electric heating pipeline are realized by setting the adjustment frequency. Therefore, the present invention can improve the accurate control of the electric heating pipeline. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic flow chart of an electric heating automatic control method based on edge computing provided in one embodiment of the present invention; Figure 2A functional module diagram of an electric heating automatic control system based on edge computing provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device for implementing the electric heating automatic control method based on edge computing provided in one embodiment of the present invention.

[0020] Description of reference numerals: 1. Electronic device; 10. Processor; 11. Storage; 12. Bus.

[0021] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0022] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0023] The embodiment of the present application provides an electric heating automatic control method based on edge computing. The execution subject of the electric heating automatic control method based on edge computing includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the electric heating automatic control method based on edge computing can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0024] Reference Figure 1 FIG. 1 is a flow chart of an electric heating automatic control method based on edge computing provided by an embodiment of the present invention. In this embodiment, the electric heating automatic control method based on edge computing includes: S1. Receive an automatic control instruction, and confirm an automatic control environment based on the automatic control instruction, wherein the automatic control environment includes an automatic control system and an electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit and a parameter adjustment unit.

[0025] It should be explained that the automatic control instructions are instructions issued by personnel who want to achieve automatic control of electric heating. The automatic control environment refers to the necessary environment for achieving automatic control of electric heating. The automatic control system refers to the software or APP used to achieve automatic control of electric heating. Electric heating pipes refer to pipes that require electric heating technology or electric heating systems to control the temperature inside the pipes. Electric heating technology refers to a technology that converts electrical energy into thermal energy, and electric heating technology and electric heating systems are both existing technologies and will not be repeated here. Among them, the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit and a parameter adjustment unit. For the application of specific units, please refer to the subsequent embodiments. The embodiments of the present invention mainly aim to improve the accuracy of controlling electric heating pipes.

[0026] For example, Xiao Zhang, as a safety officer responsible for the electric heating pipes in an oil well, issues the automatic control instruction and confirms the automatic control environment in order to achieve automatic control of the temperature inside the electric heating pipes and avoid problems such as blockage of the electric heating pipes due to inaccurate temperature settings of the electric heating pipes.

[0027] S2. Confirm receipt of a pipeline division instruction from a pipeline division unit, obtain a detection distance for setting a pipeline temperature detection point based on the pipeline division instruction, and confirm multiple temperature detection points on the electric heating pipeline according to the detection distance.

[0028] Furthermore, the detection distance refers to the distance used to set different temperature detection points in the electric heating pipe, and the distance between two adjacent temperature detection points is the detection distance. The temperature detection point is a point for temperature detection confirmed by the detection distance. For example: the length of the electric heating pipe is 100m, and the detection distance is 10m. Then, 11 temperature detection points can be confirmed on the electric heating pipe using the detection distance, and the distance between two adjacent temperature detection points is 10m.

[0029] It should be explained that the temperature setting of the electric heating pipe needs to be combined with the temperature of the environment and the temperature to be achieved. By confirming multiple temperature detection points on the electric heating pipe, it is possible to control the electric heating pipe in different areas or at different ambient temperatures, thereby improving the accuracy of the control of the electric heating pipe.

[0030] S3. Confirm receipt of a temperature measurement instruction from a temperature measurement unit, identify a temperature detection unit set based on the temperature measurement instruction, obtain a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtain detection coordinates of the temperature detection point, perform an identification operation on the detection coordinates using the target ambient temperature to obtain target temperature coordinates, summarize the target temperature coordinates, and obtain a target temperature coordinate set.

[0031] It is understandable that the use of the temperature detection unit set and the temperature detection point to obtain the target ambient temperature includes: Acquire a detection temperature set based on the temperature detection unit set and the temperature detection points, wherein the detection temperature set includes a plurality of detection temperatures, and the detection temperatures correspond one to one with the temperature detection units; Acquire a detection temperature variance using the detection temperature set, wherein the detection temperature variance is a variance of a plurality of detection temperatures, and compare the detection temperature variance with a preset detection temperature threshold; If the detected temperature variance is less than the detected temperature threshold, the detected temperature set is used to obtain a detected temperature mean, and the detected temperature mean is used as the target ambient temperature, wherein the detected temperature mean is the mean of multiple detected temperatures in the detected temperature set; Otherwise, the target ambient temperature is obtained using the detected temperature set.

[0032] It should be understood that the temperature detection unit refers to a unit that can test the temperature. Optionally, a temperature sensor is used as the temperature detection unit. The same effect can be achieved by using other technologies, which will not be repeated here. The detected temperature refers to the temperature measured at the temperature detection point using the temperature detection unit. Generally speaking, when the temperature detection unit is used to measure the detection temperature, the measured temperature may be inaccurate due to a failure of the temperature detection unit or interference factors in the environment.

[0033] Further, when the detected temperature variance is less than the detected temperature threshold, it indicates that the temperature measured by the temperature detection unit can represent the temperature at the temperature detection point, and therefore, the average of the detected temperatures is taken as the target ambient temperature.

[0034] It should be explained that the method of obtaining the target ambient temperature by using the detected temperature set includes: The detected temperatures are extracted in sequence from the detected temperature set, and the following operations are performed on the extracted detected temperatures: Based on the extracted detection temperatures, a screening temperature set is identified in the detection temperature set, wherein the screening temperature set is a complement of the extracted detection temperatures in the detection temperature set; The screening evaluation value is calculated using the extracted detection temperature, screening temperature set and pre-built screening relationship, where the screening relationship is as follows: , in, Indicates the screening evaluation value, represents the extracted detection temperature, Indicates the screening temperature concentration A detection temperature, Indicates that the total number of screening temperature sets is Detection temperature; Summarizing the screening evaluation values ​​to obtain a screening evaluation value set, performing a sorting operation on the screening evaluation values ​​in the screening evaluation value set in descending order to obtain a screening evaluation sequence, removing the detection temperature corresponding to the first screening evaluation value in the screening evaluation sequence to obtain a target evaluation sequence, and confirming an updated temperature set according to the target evaluation sequence, wherein the updated temperature set includes multiple detection temperatures, and the detection temperatures correspond to the screening evaluation values ​​in the target evaluation sequence one by one; The updated temperature set is used as the detection temperature set, and the process returns to the step of obtaining the detection temperature variance by using the detection temperature set until the target ambient temperature is obtained.

[0035] It should be understood that when the extracted detected temperature is an abnormal temperature value, there is a large deviation between the extracted detected temperature and the detected temperature in the screening temperature set. At this time, the screening evaluation value calculated using the screening evaluation relationship is large. When the extracted detected temperature is a normal temperature value, the screening evaluation value calculated using the screening evaluation relationship is relatively small. Therefore, the detected temperature corresponding to the first screening evaluation value in the target evaluation sequence is the abnormal temperature value.

[0036] It should be explained that there may be more than one abnormal temperature value. Therefore, obtaining the target ambient temperature in an iterative form can improve the accuracy of the obtained target ambient temperature. Furthermore, in order to improve the accuracy of the regional control of the electric heating pipe, the iteration form is the form of repeatedly calculating the detected temperature variance. For the specific steps of realizing the regional control of the electric heating pipe, please refer to the subsequent embodiments.

[0037] It is understandable that the detection coordinates refer to the coordinates of the temperature detection points. Optionally, a geodetic coordinate system is constructed before obtaining the temperature detection points, and the detection coordinates corresponding to the temperature detection points are obtained in the geodetic coordinate system.

[0038] Exemplarily, there are 3 temperature detection points, and the detection coordinates corresponding to the 3 temperature detection points are the first detection coordinate (2, 5, 10), the second detection coordinate (2, 5, 30) and the third detection coordinate (2, 5, 50). In this case, the electric heating pipe is a vertical pipe, and the detection distance is 20. The target ambient temperature corresponding to the first detection coordinate is 20 degrees Celsius, the target ambient temperature corresponding to the second detection coordinate is 18 degrees Celsius, and the target ambient temperature corresponding to the third detection coordinate is 15 degrees Celsius. The detection coordinates are marked using the target ambient temperatures, and the obtained target temperature coordinates are: 20-(2, 5, 10), 18-(2, 5, 30) and 15-(2, 5, 50).

[0039] S4. Obtain a predicted distance for predicting the temperature of the electric heating pipeline, and based on the predicted distance, identify a plurality of temperature prediction points on the electric heating pipeline.

[0040] It should be explained that, in general, the length of the electric heating pipe is long, and the environment in which the electric heating pipe is used is relatively complex, and it is impossible to detect the temperature of each electric heating pipe. Therefore, the predicted distance can be used to predict the temperature of multiple electric heating pipes, thereby improving the accuracy of regional control of the electric heating pipes.

[0041] It is understandable that the predicted distance refers to the distance used to confirm the temperature prediction point. The temperature prediction point refers to the point confirmed on the electric heating pipe by the predicted distance, and the method of obtaining the temperature prediction point is the same as the method of obtaining the temperature detection point and can achieve the same effect, which will not be repeated here.

[0042] S5. Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, and summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates.

[0043] Further, the obtaining predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set includes: The temperature prediction point is used to obtain the prediction coordinates, and the predicted temperature is calculated based on the prediction coordinates, the target temperature coordinate set and the pre-constructed temperature prediction relationship, wherein the temperature prediction relationship is as follows: , in, represents the predicted temperature, represents the predicted coordinates, Indicates the target temperature coordinate set The target ambient temperature corresponding to the target temperature coordinate, Indicates the target temperature coordinate set The detection coordinates corresponding to the target temperature coordinates, Indicates that the target temperature coordinate set has Target temperature coordinates; The predicted temperature and the predicted coordinates are used to obtain the predicted temperature coordinates.

[0044] It should be explained that the method of obtaining the predicted coordinates is the same as the method of obtaining the detected coordinates and can achieve the same effect, which will not be repeated here. The method of obtaining the predicted temperature coordinates using the predicted temperature and the predicted coordinates is the same as the method of obtaining the target temperature coordinates using the target ambient temperature and the detected coordinates and can achieve the same effect, which will not be repeated here. The grouped temperature coordinates are the target temperature coordinates or the predicted temperature coordinates.

[0045] S6. Confirm receipt of the pipeline management instruction from the pipeline management unit, and confirm multiple management areas on the electric heating pipeline based on the pipeline management instruction and the grouped temperature coordinate set.

[0046] It should be explained that, based on the pipeline management instructions and the grouped temperature coordinate set, multiple management areas are identified on the electric heating pipeline, including: The pipeline management instruction is parsed to obtain a standard grouping template, wherein the standard grouping template is as follows: , in, represents the standard grouping template, represents the coordinates of a point, Indicates temperature; The grouped temperature coordinates are extracted from the grouped temperature coordinate set in sequence, and the following operations are performed on the extracted grouped temperature coordinates: Mapping the detection coordinates and target ambient temperature or the predicted coordinates and predicted temperature corresponding to the grouped temperature coordinates to the standard grouping template to obtain target grouping data, and summarizing the target grouping data to obtain a target grouping data set; A pipeline curve is obtained based on the electric heating pipeline, and a plurality of management areas are identified using the target grouping data set and the pipeline curve.

[0047] It should be understood that the pipeline curve refers to the curve including the position and length of the electric heating pipeline when the electric heating pipeline is constructed or installed. Optionally, the pipeline curve is obtained by obtaining the design drawings of the electric heating pipeline. For example, the length and position of the installed electric heating pipeline are recorded during the construction process, and the pipeline curve is obtained by drawing it in a pre-constructed Cartesian coordinate system.

[0048] Exemplarily, the grouped temperature coordinate is the target temperature coordinate, and the target temperature coordinate is: 20-(2, 5, 10). After mapping the detection coordinate and the target ambient temperature corresponding to the target temperature coordinate to the standard grouping template, the target grouping data is obtained, wherein the target grouping data is (2, 5, 10, 20). When the grouped temperature coordinate is the predicted temperature coordinate, the method of mapping the predicted temperature coordinate to the standard grouping template is the same as the method of mapping the target temperature coordinate to the standard grouping template and can achieve the same effect, which will not be repeated here.

[0049] It should be understood that the target grouping data set and pipeline curve are used to identify multiple management areas, including: Using a pre-built k-means clustering algorithm, clustering the target group data set into a plurality of initial management clusters, wherein the initial management cluster includes a plurality of target group data; The following operations are performed for each of the multiple initial management clusters: Acquire a management cluster sequence number based on the initial management cluster, and use the management cluster sequence number to perform a marking operation on each of the multiple target group data corresponding to the initial management cluster to obtain marked group data; Mapping the identification group data to the pipeline curve, dividing the mapped pipeline curve into a plurality of group areas according to the management cluster ordinal number corresponding to the identification group data, and the group areas correspond to the initial management clusters one by one; For each of the multiple grouping areas, perform the following operations: The distance between the grouping areas in the pipeline curve is obtained to obtain the grouping distance, and the plurality of management areas are identified using the grouping distance.

[0050] Furthermore, the k-means clustering algorithm is a prior art and will not be described in detail here. Using a pre-built k-means clustering algorithm to cluster the target group data set into multiple initial management clusters means: using a k-means clustering algorithm to cluster multiple target group data in the target group data set into different clusters, the target group data contained in each cluster constitutes the initial management cluster, and the technology of clustering multiple four-dimensional data into different clusters using a k-means clustering algorithm is a prior art, in which the four-dimensional data is the target group data, and will not be described in detail here.

[0051] It is understandable that the management cluster sequence number is a sequence number used to distinguish different initial management clusters. For example, if there are 3 initial management clusters in total, the initial management clusters are extracted from the 3 initial management clusters in sequence, the first initial management cluster extracted corresponds to a management cluster sequence number of 1, the second initial management cluster extracted corresponds to a management cluster sequence number of 2, and the third initial management cluster extracted corresponds to a cluster sequence number of 3. The technology of using the management cluster sequence number to identify each target group data in the initial management cluster is the same as the technology of using the target ambient temperature to perform the identification operation on the detection coordinates, and can achieve the same effect, which will not be repeated here.

[0052] It should be understood that multiple corresponding points can be retrieved in the pipeline curve according to the detection coordinates and the predicted coordinates. Therefore, the identification grouping data can be mapped to the pipeline curve, and the management cluster numbers corresponding to the same grouping areas are the same.

[0053] It should be explained that the use of the grouping distance to identify multiple management areas includes: Dividing the electric heating pipeline into a plurality of first management areas using a preset pipeline management threshold, wherein the distance corresponding to each first management area is the pipeline management threshold; According to the grouping area, one or more second management areas are retrieved from the plurality of first management areas, and the distance corresponding to the second management area is the pipeline management threshold; The following operations are performed for each of the one or more second management areas: Acquire one or more overlapping areas based on the second management area and the grouping area corresponding to the grouping distance, wherein the overlapping area is the intersection of the second management area and the grouping area; For each of the one or more overlapping regions, perform the following operations: If the distance corresponding to the overlapping area is the pipeline management threshold, the overlapping area is used as the third management area; If the distance corresponding to the overlapping area is less than the pipeline management threshold, the distance of the overlapping area is obtained to obtain the overlapping distance, and the pipeline residual value is calculated using the overlapping distance and the pipeline management threshold; comparing the pipeline residual value with a preset residual value threshold; If the pipeline residual value is less than or equal to the residual value threshold, the overlapping area is removed from the grouping area corresponding to the grouping distance, and the first grouping area is confirmed in the second management area corresponding to the overlapping area, and the first grouping area is updated with the removed overlapping area to obtain the fifth management area; If the pipeline residual value is greater than the residual value threshold, a search temperature is obtained based on the second management area corresponding to the overlapping area, wherein the search temperature is an average of multiple target ambient temperatures and multiple predicted temperatures in the second management area; Using the overlapping area, a first grouping area is identified in the second management area corresponding to the overlapping area, and a grouping temperature is obtained using a plurality of target ambient temperatures and a plurality of predicted temperatures corresponding to the first grouping area, wherein the grouping temperature is an average of the plurality of target ambient temperatures and the plurality of predicted temperatures; Obtaining an overlapping temperature using the overlapping area, wherein the overlapping temperature is an average of one or more predicted temperatures and one or more target ambient temperatures corresponding to the overlapping area; Calculate the absolute difference between the grouping temperature and the search temperature and the absolute difference between the overlapping temperature and the search temperature respectively, obtain the first adjacent temperature and the second adjacent temperature, and obtain the target adjacent temperature based on the first adjacent temperature and the second adjacent temperature, wherein the target adjacent temperature is the minimum value of the first adjacent temperature and the second adjacent temperature; A third grouping area is identified based on the target proximity temperature, and the second management area corresponding to the overlapping area is updated using the third grouping area to obtain a fourth management area; The third management area, the fourth management area, and the fifth management area are aggregated to obtain a plurality of management areas.

[0054] It should be understood that the pipeline management threshold is the minimum distance for confirming whether the grouping distance meets the temperature regulation. For example: if the grouping threshold is 2m, it means that under standard working conditions, the electric heating pipeline can be divided into adjustable electric heating pipelines with a minimum adjustment distance of 2m. For example: if the grouping distance corresponding to a certain grouping area is 4m, and the pipeline management threshold is 2m, then two or three second management areas can be retrieved from multiple first management areas using the grouping distance, where the second management area refers to a complete area including the grouping area, and the distance corresponding to the complete area is the smallest, and the complete area is composed of one or more first management areas.

[0055] It should be explained that the second management area refers to the complete first management area occupied by the grouping area, and the third management area is the complete first management area corresponding to the grouping area. For example: for ease of understanding, a one-dimensional coordinate system is used as an example: the first management area is the area corresponding to the unit length, and the range corresponding to the grouping area is (0.8, 2.5). Then, using the grouping area, three second management areas can be identified in multiple first management areas, and the three second management areas are: (0, 1), (1, 2) and (2, 3). The three overlapping areas corresponding to the second management area and the grouping area are: (0.8, 1), (1, 2) and (2, 2.5). Among them, the overlapping area corresponding to (1, 2) is the third management area. When the overlapping area is (0.8, 1), the overlapping distance corresponding to the overlapping area is 0.2. When the overlapping distance is less than or equal to the residual value threshold, it indicates that the overlapping area accounts for too small a proportion of the second management area. Therefore, the overlapping area is removed from the grouping area corresponding to the overlapping area.

[0056] Further, the first grouping area refers to other grouping areas in the second management area corresponding to the overlapping area. The difference between the first grouping area and the overlapping area is that the management cluster ordinal numbers corresponding to the first grouping area and the overlapping area are different, that is, the first grouping area is the overlapping area, and the complement of the second management area corresponding to the overlapping area. For example: the range corresponding to the second management area is (0, 1), and the overlapping area is (0.8, 1), then the first grouping area is (0, 0.8). The updating of the first grouping area refers to dividing the excluded overlapping area into the first grouping area. For example: for ease of understanding, taking a one-dimensional coordinate system as an example, the range corresponding to the first grouping area is (0, 0.8), and the range corresponding to the second grouping area is (0.8, 3). In the second grouping area, it is confirmed that the overlapping distance is 0.2, the pipeline management threshold is 1, then the pipeline residual value is 0.2, and the residual value threshold is 0.3, then the range corresponding to the first grouping area after the update is (0, 1), and the range corresponding to the second grouping area after the update is (1, 3), wherein the first grouping area after the update is the fifth management area. When the pipeline residual value is greater than the residual value threshold, it indicates that the area corresponding to the overlapping distance accounts for a large proportion, and more detailed classification is required to classify the overlapping area.

[0057] It is understandable that the third grouping area is the original grouping area or the first grouping area corresponding to the target adjacent temperature, and the third grouping area corresponds to the target adjacent temperature one-to-one. The more similar the grouping temperature is to the search temperature or the overlapping temperature, the better it is to classify the overlapping area as the first grouping area or the original grouping area, and if it is classified into the original grouping area, the first grouping area will be classified into the original grouping area at the same time. For example: in the second management area, (1.8, 2) is the overlapping area, the original grouping area is (1.8, 3), the first grouping area is (1, 1.8), and the grouping area corresponding to the first grouping area is (0, 1.8). By calculating that the first adjacent temperature is greater than the second adjacent temperature, the overlapping area is classified into the grouping area of ​​(0, 1.8), and the new management areas are: (0, 2) and (2, 3). The method of updating the second management area corresponding to the overlapping area using the third grouping area is the same as the method of updating the first grouping area using the eliminated overlapping area, and can achieve the same effect, which will not be repeated here.

[0058] Furthermore, the third management area, the fourth management area and the fifth management area are all composed of one or more first management areas. By dividing different areas in combination with different temperatures, the problem of difficulty in controlling the temperature due to overly complex situations is avoided, and the similarity between the overlapping area and the adjacent area is considered (in the embodiment of the present invention, the similarity is characterized by the first adjacent temperature and the second adjacent temperature), and the overlapping area is reasonably divided by the similarity, thereby improving the accuracy of controlling the electric heating pipeline.

[0059] It should be explained that the pipeline residual value is calculated using the overlap distance and the pipeline management threshold, and the calculation formula is as follows: , in, Indicates the pipeline residual value, represents the overlap distance, Indicates the pipe management threshold.

[0060] S7. Confirm receipt of the parameter adjustment instruction from the parameter adjustment unit, and acquire the adjustment power based on the parameter adjustment instruction and the management area.

[0061] It should be explained that the step of obtaining the adjustment power based on the parameter adjustment instruction and the management area includes: The parameter adjustment instruction is parsed to obtain the target temperature, and the adjustment power is obtained using the target temperature and the management area. The calculation formula is as follows: , in, For the regulated power, represents the target temperature, Indicates the target ambient temperature and predicted temperature corresponding to the management area indivual, Indicates the target ambient temperature and predicted temperature corresponding to the management area. A fitting temperature, and the fitting temperature is the target ambient temperature or predicted temperature, represents the heat loss coefficient, Indicates the distance corresponding to the management area. represents the correction factor, Indicates the efficiency of the electric heating system.

[0062] It should be explained that the target temperature refers to the temperature that the electric heating pipe needs to maintain, and the heat loss coefficient refers to the amount of heat loss caused by a unit temperature difference per unit length. The correction coefficient may be related to factors such as the material, size, and position of the electric plate heat pipe. Optionally, the correction coefficient and heat loss coefficient are determined by setting an experiment.

[0063] S8. Automatically control the electric heating pipeline based on the preset adjustment frequency and the adjustment power.

[0064] For example, when Xiao Zhao issues the automatic control instruction, he sets the frequency for realizing automatic control, which is the regulating frequency. Then, the electric heating system will automatically realize the control of the regulating power required for the electric heating pipeline according to the regulating frequency.

[0065] The present invention is to solve the problem described in the background technology. The present invention confirms receiving a pipeline division instruction from a pipeline division unit, obtains a detection distance for setting a pipeline temperature detection point based on the pipeline division instruction, and confirms multiple temperature detection points on the electric heating pipeline according to the detection distance. It can be seen that before the present invention automatically controls the electric heating pipeline, the working conditions of the electric heating pipeline in different environments or under different conditions are considered. Therefore, multiple temperature detection points for temperature detection are confirmed on the electric heating pipeline, and then, the temperature measurement instruction from the temperature measurement unit is confirmed. Based on the temperature measurement instruction, a temperature detection unit set is confirmed, which is beneficial to The target ambient temperature is obtained by using a temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, the detection coordinates of the temperature detection point are obtained, the detection coordinates are marked using the target ambient temperature, the target temperature coordinates are obtained, the target temperature coordinates are summarized, and the target temperature coordinate set is obtained. It can be seen that the present invention takes into account the problem that the temperature detection unit may have a fault when measuring the temperature at the temperature detection point. Therefore, the obtained target ambient temperature is made more accurate through iteration, thereby laying a foundation for the subsequent regional control of the electric heating pipeline, and obtaining the temperature prediction of the electric heating pipeline. Based on the predicted distance, multiple temperature prediction points are identified on the electric heating pipeline, predicted temperature coordinates are obtained based on the temperature prediction points and the target temperature coordinate set, the predicted temperature coordinates and the target temperature coordinate set are summarized to obtain a grouped temperature coordinate set, and the pipeline management instruction from the pipeline management unit is confirmed to be received. Based on the pipeline management instruction and the grouped temperature coordinate set, multiple management areas are identified on the electric heating pipeline. It can be seen that the embodiment of the present invention also considers predicting the temperature that cannot be measured, and the electric heating pipeline is fitted into multiple management areas through the grouped temperature coordinate set, so as to realize the regional management of the electric heating pipeline, and perform And, to improve the accuracy of controlling the electric heating pipeline, confirm the reception of the parameter adjustment instruction from the parameter adjustment unit, obtain the adjustment power based on the parameter adjustment instruction and the management area, and realize the automatic control of the electric heating pipeline based on the preset adjustment frequency and the adjustment power. It can be seen that the embodiment of the present invention combines the actual situation of the management area when managing the management area. Therefore, the adjustment frequency is calculated by the management area to realize the zoning management of different management areas. When managing, it is also considered that factors such as the environment may change. Therefore, the dynamic division and dynamic control of the electric heating pipeline are realized by setting the adjustment frequency. Therefore, the present invention can improve the accurate control of the electric heating pipeline.

[0066] like Figure 2 As shown, it is a functional module diagram of an electric heating automatic control system based on edge computing provided by one embodiment of the present invention.

[0067] The electric heating automatic control system 100 based on edge computing of the present invention can be installed in an electronic device. According to the functions implemented, the electric heating automatic control system 100 based on edge computing can include an electric heating pipeline confirmation module 101, an electric heating pipeline monitoring module 102, an electric heating pipeline dynamic division module 103 and an electric heating pipeline dynamic adjustment module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0068] The electric heating pipeline confirmation module 101 is used to receive an automatic control instruction and confirm an automatic control environment based on the automatic control instruction, wherein the automatic control environment includes an automatic control system and an electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit and a parameter adjustment unit; The electric heating pipeline monitoring module 102 is used to confirm the receipt of the pipeline division instruction from the pipeline division unit, obtain the detection distance for setting the pipeline temperature detection point based on the pipeline division instruction, and confirm multiple temperature detection points on the electric heating pipeline according to the detection distance; The following operations are performed for each of the multiple temperature detection points: Confirming receipt of a temperature measurement instruction from a temperature measurement unit, confirming a temperature detection unit set based on the temperature measurement instruction, obtaining a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtaining detection coordinates of the temperature detection point, performing a marking operation on the detection coordinates using the target ambient temperature to obtain a target temperature coordinate, and summarizing the target temperature coordinates to obtain a target temperature coordinate set; A prediction distance for predicting the temperature of the electric heating pipeline is obtained. Based on the prediction distance, multiple temperature prediction points are identified on the electric heating pipeline. The following operations are performed on each of the multiple temperature prediction points: Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates; The electric heating pipeline dynamic division module 103 is used to confirm the pipeline management instruction received from the pipeline management unit, and based on the pipeline management instruction and the grouped temperature coordinate set, multiple management areas are confirmed on the electric heating pipeline, and the following operations are performed on each of the multiple management areas: The electric heating pipeline dynamic adjustment module 104 is used to confirm the reception of the parameter adjustment instruction from the parameter adjustment unit, and obtain the adjustment power based on the parameter adjustment instruction and the management area; Automatic control of the electric heating pipeline is achieved based on the preset adjustment frequency and the adjustment power.

[0069] In detail, each module in the electric heating automatic control system 100 based on edge computing in the embodiment of the present invention is used in the same manner as above. Figure 1 The same technical means are used as the electric heating automatic control method based on edge computing described in the text, and can produce the same technical effects, so I will not go into details here.

[0070] like Figure 3 , is a schematic diagram of the structure of an electronic device for implementing an electric heating automatic control method based on edge computing provided by an embodiment of the present invention.

[0071] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an electric heating automatic control method program based on edge computing.

[0072] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the electric heating automatic control method program based on edge computing, but also can be used to temporarily store data that has been output or is to be output.

[0073] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as an electric heating automatic control method program based on edge computing, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0074] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0075] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0076] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0077] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0078] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0079] The electric heating automatic control method program based on edge computing stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: receiving an automatic control instruction, and confirming an automatic control environment based on the automatic control instruction, wherein the automatic control environment includes an automatic control system and an electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit, and a parameter adjustment unit; Confirming receipt of a pipeline division instruction from a pipeline division unit, acquiring a detection distance for setting a pipeline temperature detection point based on the pipeline division instruction, and confirming a plurality of temperature detection points on the electric heating pipeline according to the detection distance; The following operations are performed for each of the multiple temperature detection points: Confirming receipt of a temperature measurement instruction from a temperature measurement unit, confirming a temperature detection unit set based on the temperature measurement instruction, obtaining a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtaining detection coordinates of the temperature detection point, performing a marking operation on the detection coordinates using the target ambient temperature to obtain a target temperature coordinate, and summarizing the target temperature coordinates to obtain a target temperature coordinate set; A prediction distance for predicting the temperature of the electric heating pipeline is obtained. Based on the prediction distance, multiple temperature prediction points are identified on the electric heating pipeline. The following operations are performed on each of the multiple temperature prediction points: Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates; Confirming receipt of a pipeline management instruction from a pipeline management unit, based on the pipeline management instruction and the grouped temperature coordinate set, identifying multiple management areas on the electric heating pipeline, and performing the following operations on each of the multiple management areas: confirming receipt of a parameter adjustment instruction from a parameter adjustment unit, and acquiring an adjustment power based on the parameter adjustment instruction and the management area; Automatic control of the electric heating pipeline is achieved based on the preset adjustment frequency and the adjustment power.

[0080] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0081] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0082] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement: receiving an automatic control instruction, and confirming an automatic control environment based on the automatic control instruction, wherein the automatic control environment includes an automatic control system and an electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit, and a parameter adjustment unit; Confirming receipt of a pipeline division instruction from a pipeline division unit, acquiring a detection distance for setting a pipeline temperature detection point based on the pipeline division instruction, and confirming a plurality of temperature detection points on the electric heating pipeline according to the detection distance; The following operations are performed for each of the multiple temperature detection points: Confirming receipt of a temperature measurement instruction from a temperature measurement unit, confirming a temperature detection unit set based on the temperature measurement instruction, obtaining a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtaining detection coordinates of the temperature detection point, performing a marking operation on the detection coordinates using the target ambient temperature to obtain a target temperature coordinate, and summarizing the target temperature coordinates to obtain a target temperature coordinate set; A prediction distance for predicting the temperature of the electric heating pipeline is obtained. Based on the prediction distance, multiple temperature prediction points are identified on the electric heating pipeline. The following operations are performed on each of the multiple temperature prediction points: Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates; Confirming receipt of a pipeline management instruction from a pipeline management unit, based on the pipeline management instruction and the grouped temperature coordinate set, identifying multiple management areas on the electric heating pipeline, and performing the following operations on each of the multiple management areas: confirming receipt of a parameter adjustment instruction from a parameter adjustment unit, and acquiring an adjustment power based on the parameter adjustment instruction and the management area; Automatic control of the electric heating pipeline is achieved based on the preset adjustment frequency and the adjustment power.

[0083] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0084] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0085] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0086] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An electric heating automatic control method based on edge computing, characterized in that: The method comprises: receiving an automatic control instruction, and confirming an automatic control environment based on the automatic control instruction, wherein the automatic control environment includes an automatic control system and an electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit, and a parameter adjustment unit; Confirming receipt of a pipeline division instruction from a pipeline division unit, acquiring a detection distance for setting a pipeline temperature detection point based on the pipeline division instruction, and confirming a plurality of temperature detection points on the electric heating pipeline according to the detection distance; The following operations are performed for each of the multiple temperature detection points: Confirming receipt of a temperature measurement instruction from a temperature measurement unit, confirming a temperature detection unit set based on the temperature measurement instruction, obtaining a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtaining detection coordinates of the temperature detection point, performing a marking operation on the detection coordinates using the target ambient temperature to obtain a target temperature coordinate, and summarizing the target temperature coordinates to obtain a target temperature coordinate set; A prediction distance for predicting the temperature of the electric heating pipeline is obtained. Based on the prediction distance, multiple temperature prediction points are identified on the electric heating pipeline. The following operations are performed on each of the multiple temperature prediction points: Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates; Confirming receipt of a pipeline management instruction from a pipeline management unit, based on the pipeline management instruction and the grouped temperature coordinate set, identifying multiple management areas on the electric heating pipeline, and performing the following operations on each of the multiple management areas: confirming receipt of a parameter adjustment instruction from a parameter adjustment unit, and acquiring an adjustment power based on the parameter adjustment instruction and the management area; Automatic control of the electric heating pipeline is achieved based on the preset adjustment frequency and the adjustment power.

2. The electric heating automatic control method based on edge computing according to claim 1 is characterized in that: The method of obtaining the target ambient temperature by using the temperature detection unit set and the temperature detection point includes: Acquire a detection temperature set based on the temperature detection unit set and the temperature detection points, wherein the detection temperature set includes a plurality of detection temperatures, and the detection temperatures correspond to the temperature detection units one by one; Acquire a detection temperature variance using the detection temperature set, wherein the detection temperature variance is a variance of a plurality of detection temperatures, and compare the detection temperature variance with a preset detection temperature threshold; If the detected temperature variance is less than the detected temperature threshold, the detected temperature set is used to obtain a detected temperature mean, and the detected temperature mean is used as the target ambient temperature, wherein the detected temperature mean is the mean of multiple detected temperatures in the detected temperature set; Otherwise, the target ambient temperature is obtained using the detected temperature set.

3. The electric heating automatic control method based on edge computing according to claim 2 is characterized in that: The method of obtaining the target ambient temperature by using the detected temperature set includes: The detected temperatures are extracted in sequence from the detected temperature set, and the following operations are performed on the extracted detected temperatures: Based on the extracted detection temperatures, a screening temperature set is identified in the detection temperature set, wherein the screening temperature set is a complement of the extracted detection temperatures in the detection temperature set; The screening evaluation value is calculated using the extracted detection temperature, screening temperature set and pre-built screening relationship, where the screening relationship is as follows: ， in, Indicates the screening evaluation value, represents the extracted detection temperature, Indicates the screening temperature concentration A detection temperature, Indicates that the total number of screening temperature sets is Detection temperature; Summarizing the screening evaluation values ​​to obtain a screening evaluation value set, performing a sorting operation on the screening evaluation values ​​in the screening evaluation value set in descending order to obtain a screening evaluation sequence, removing the detection temperature corresponding to the first screening evaluation value in the screening evaluation sequence to obtain a target evaluation sequence, and confirming an updated temperature set according to the target evaluation sequence, wherein the updated temperature set includes multiple detection temperatures, and the detection temperatures correspond to the screening evaluation values ​​in the target evaluation sequence one by one; The updated temperature set is used as the detection temperature set, and the process returns to the step of obtaining the detection temperature variance by using the detection temperature set until the target ambient temperature is obtained.

4. The electric heating automatic control method based on edge computing according to claim 3 is characterized in that: The obtaining of predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set includes: The temperature prediction point is used to obtain the prediction coordinates, and the predicted temperature is calculated based on the prediction coordinates, the target temperature coordinate set and the pre-constructed temperature prediction relationship, wherein the temperature prediction relationship is as follows: ， in, represents the predicted temperature, represents the predicted coordinates, Indicates the target temperature coordinate set The target ambient temperature corresponding to the target temperature coordinate, Indicates the target temperature coordinate set The detection coordinates corresponding to the target temperature coordinates, Indicates that the target temperature coordinate set has Target temperature coordinates; The predicted temperature and the predicted coordinates are used to obtain the predicted temperature coordinates.

5. The electric heating automatic control method based on edge computing according to claim 4 is characterized in that: Based on the pipeline management instructions and the grouped temperature coordinate set, multiple management areas are identified on the electric heating pipeline, including: The pipeline management instruction is parsed to obtain a standard grouping template, wherein the standard grouping template is as follows: ， in, represents the standard grouping template, represents the coordinates of a point, Indicates temperature; The grouped temperature coordinates are extracted from the grouped temperature coordinate set in sequence, and the following operations are performed on the extracted grouped temperature coordinates: Mapping the detection coordinates and target ambient temperature or the predicted coordinates and predicted temperature corresponding to the grouped temperature coordinates to the standard grouping template to obtain target grouping data, and summarizing the target grouping data to obtain a target grouping data set; A pipeline curve is obtained based on the electric heating pipeline, and a plurality of management areas are identified using the target grouping data set and the pipeline curve.

6. The electric heating automatic control method based on edge computing according to claim 5, characterized in that: The method of using the target grouping data set and the pipeline curve to identify multiple management areas includes: Using a pre-built k-means clustering algorithm, clustering the target group data set into a plurality of initial management clusters, wherein the initial management cluster includes a plurality of target group data; The following operations are performed for each of the multiple initial management clusters: Acquire a management cluster sequence number based on the initial management cluster, and use the management cluster sequence number to perform a marking operation on each of the multiple target group data corresponding to the initial management cluster to obtain marked group data; Mapping the identification group data to the pipeline curve, dividing the mapped pipeline curve into a plurality of group areas according to the management cluster ordinal number corresponding to the identification group data, and the group areas correspond to the initial management clusters one by one; For each of the multiple grouping areas, perform the following operations: The distance between the grouping areas in the pipeline curve is obtained to obtain the grouping distance, and the plurality of management areas are identified using the grouping distance.

7. The electric heating automatic control method based on edge computing according to claim 6, characterized in that: The step of using the grouping distance to identify a plurality of management areas includes: Dividing the electric heating pipeline into a plurality of first management areas using a preset pipeline management threshold, wherein the distance corresponding to each first management area is the pipeline management threshold; According to the grouping area, one or more second management areas are retrieved from the plurality of first management areas, and the distance corresponding to the second management area is the pipeline management threshold; The following operations are performed for each of the one or more second management areas: Acquire one or more overlapping areas based on the second management area and the grouping area corresponding to the grouping distance, wherein the overlapping area is the intersection of the second management area and the grouping area; For each of the one or more overlapping regions, perform the following operations: If the distance corresponding to the overlapping area is the pipeline management threshold, the overlapping area is used as the third management area; If the distance corresponding to the overlapping area is less than the pipeline management threshold, the distance of the overlapping area is obtained to obtain the overlapping distance, and the pipeline residual value is calculated using the overlapping distance and the pipeline management threshold; comparing the pipeline residual value with a preset residual value threshold; If the pipeline residual value is less than or equal to the residual value threshold, the overlapping area is removed from the grouping area corresponding to the grouping distance, and the first grouping area is confirmed in the second management area corresponding to the overlapping area, and the first grouping area is updated with the removed overlapping area to obtain the fifth management area; If the pipeline residual value is greater than the residual value threshold, a search temperature is obtained based on the second management area corresponding to the overlapping area, wherein the search temperature is an average of multiple target ambient temperatures and multiple predicted temperatures in the second management area; Using the overlapping area, a first grouping area is identified in the second management area corresponding to the overlapping area, and a grouping temperature is obtained using a plurality of target ambient temperatures and a plurality of predicted temperatures corresponding to the first grouping area, wherein the grouping temperature is an average of the plurality of target ambient temperatures and the plurality of predicted temperatures; Obtaining an overlapping temperature using the overlapping area, wherein the overlapping temperature is an average of one or more predicted temperatures and one or more target ambient temperatures corresponding to the overlapping area; Calculate the absolute difference between the grouping temperature and the search temperature and the absolute difference between the overlapping temperature and the search temperature respectively, obtain the first adjacent temperature and the second adjacent temperature, and obtain the target adjacent temperature based on the first adjacent temperature and the second adjacent temperature, wherein the target adjacent temperature is the minimum value of the first adjacent temperature and the second adjacent temperature; A third grouping area is identified based on the target proximity temperature, and the second management area corresponding to the overlapping area is updated using the third grouping area to obtain a fourth management area; The third management area, the fourth management area, and the fifth management area are aggregated to obtain a plurality of management areas.

8. The electric heating automatic control method based on edge computing according to claim 7, characterized in that: The pipeline residual value is calculated by using the overlap distance and the pipeline management threshold. The calculation formula is as follows: ， in, Indicates the pipeline residual value, represents the overlap distance, Indicates the pipe management threshold.

9. The electric heating automatic control method based on edge computing according to claim 8, characterized in that: The obtaining the adjustment power based on the parameter adjustment instruction and the management area includes: The parameter adjustment instruction is parsed to obtain the target temperature, and the adjustment power is obtained using the target temperature and the management area. The calculation formula is as follows: ， in, For the regulated power, represents the target temperature, Indicates the target ambient temperature and predicted temperature corresponding to the management area indivual, Indicates the target ambient temperature and predicted temperature corresponding to the management area. A fitting temperature, and the fitting temperature is the target ambient temperature or predicted temperature, represents the heat loss coefficient, Indicates the distance corresponding to the management area. represents the correction factor, Indicates the efficiency of the electric heating system.

10. An electric heating automatic control system based on edge computing, characterized in that: The system comprises: The electric heating pipeline confirmation module is used to receive the automatic control instruction and confirm the automatic control environment based on the automatic control instruction, wherein the automatic control environment includes the automatic control system and the electric heating pipeline to be controlled, and the automatic control system includes a pipeline division unit, a temperature measurement unit, a pipeline management unit and a parameter adjustment unit; The electric heating pipeline monitoring module is used to confirm the receipt of the pipeline division instruction from the pipeline division unit, obtain the detection distance for setting the pipeline temperature detection point based on the pipeline division instruction, and confirm multiple temperature detection points on the electric heating pipeline according to the detection distance; The following operations are performed for each of the multiple temperature detection points: Confirming receipt of a temperature measurement instruction from a temperature measurement unit, confirming a temperature detection unit set based on the temperature measurement instruction, obtaining a target ambient temperature using the temperature detection unit set and a temperature detection point, wherein the temperature detection unit set includes a plurality of temperature detection units, obtaining detection coordinates of the temperature detection point, performing a marking operation on the detection coordinates using the target ambient temperature to obtain a target temperature coordinate, and summarizing the target temperature coordinates to obtain a target temperature coordinate set; A prediction distance for predicting the temperature of the electric heating pipeline is obtained. Based on the prediction distance, multiple temperature prediction points are identified on the electric heating pipeline. The following operations are performed on each of the multiple temperature prediction points: Acquire predicted temperature coordinates based on the temperature prediction point and the target temperature coordinate set, summarize the predicted temperature coordinates and the target temperature coordinate set to obtain a grouped temperature coordinate set, wherein the grouped temperature coordinate set includes a plurality of grouped temperature coordinates; The electric heating pipeline dynamic division module is used to confirm the pipeline management instruction received from the pipeline management unit, and based on the pipeline management instruction and the grouped temperature coordinate set, multiple management areas are confirmed on the electric heating pipeline, and the following operations are performed on each of the multiple management areas: The electric heating pipeline dynamic adjustment module is used to confirm the reception of the parameter adjustment instruction from the parameter adjustment unit, and obtain the adjustment power based on the parameter adjustment instruction and the management area; Automatic control of the electric heating pipeline is achieved based on the preset adjustment frequency and the adjustment power.

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