Heat supply data processing method based on artificial intelligence

Abstract

The invention relates to the technical field of heat supply data processing, in particular to a heat supply data processing method based on artificial intelligence, and the method comprises the steps: carrying out the three-dimensional modeling of a building in an area where a heat supply pipeline is located, and analyzing the data transmission condition of a transmission path according to the complex condition of a substance passing through a data receiving point and a data sending point; in the data transmission path, the more the types of data crossing substances in the path are, the more the number of times of crossing from one substance to another substance is, and the larger the interference degree to the transmission process is, the interference degree of the path to the signal is determined according to the number of times of signal crossing in the data transmission path; the data transmission condition of a single data transmission path is preliminarily analyzed according to the interference degree, all the paths are marked, the number of all the paths is counted after marking is completed, the processing mode for the data transmission path is determined according to the number proportion of all the paths, and therefore the data transmission efficiency of all the paths is improved; and the influence caused by too many kinds of traversing substances is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of heating data processing, and in particular to a heating data processing method based on artificial intelligence. Background Art

[0002] By processing heating data, such as collecting temperature, pressure, flow and other data at each node of the heating pipeline, we can accurately understand the distribution of heat in the entire heating system. For example, according to the heat demand of buildings in different areas, the hot water flow can be reasonably allocated. If the occupancy rate of a community is low, the actual heat required can be analyzed through data processing, and the supply of hot water in the area can be reduced accordingly, thereby avoiding energy waste. The existing technology pre-processes the heating data and trains the heating data using the heating AI global model, thereby shortening the data analysis and processing time. However, since the data signal needs to pass through various substances in the transmission path, it will interfere with the transmission signal, affecting the accuracy of the received data and the efficiency of data transmission.

[0003] Chinese patent application number: CN202410723555.2 discloses a heating data processing method and system based on AI technology, which relates to the field of heating data processing technology. It includes: obtaining and uploading urban heating data; preprocessing the obtained heating data; dividing the preprocessed heating data into a training set and a test set; inputting the training set into the heating AI global model, updating the model weight parameters through the loss function, and obtaining the trained heating AI global model after several trainings; setting the constraints for comprehensive urban heating regulation, adjusting the trained heating AI global model according to the constraints, and obtaining the final heating global model; inputting the test set into the final heating AI global model to evaluate the heating data. This invention greatly reduces the time for data analysis and processing, which is beneficial for the staff to make an initial judgment on the heating status, and realizes the automatic processing of heating data through the heating AI global model that quickly processes data.

[0004] However, the prior art still has the following problems:

[0005] Since the data signal transmission path needs to pass through various substances, it will interfere with the transmission signal, affecting the accuracy of the received data and the efficiency of data transmission. Summary of the invention

[0006] To this end, the present invention provides a heating data processing method based on artificial intelligence to overcome the problem in the prior art that the data signal transmission path needs to pass through various substances, which will interfere with the transmission signal and affect the accuracy of the received data and the data transmission efficiency.

[0007] To achieve the above objectives, the present invention provides a heating data processing method based on artificial intelligence. It includes:

[0008] Step S1, obtaining building information of the heating area, constructing a three-dimensional model based on the building information, and determining each heating data sending point on the heating pipeline in the three-dimensional model;

[0009] Step S2, respectively connecting each of the heating data sending points with the heating data receiving points to obtain a straight line transmission path for the heating data;

[0010] Step S3, counting the number of cross-substance crossings in a single straight-line transmission path of heating data, and analyzing whether the straight-line transmission path of heating data is qualified based on the number of cross-substance crossings. When it is preliminarily determined that the straight-line transmission path of heating data is unqualified,

[0011] Based on the length of the non-air material traversed in the straight line transmission path of the heating data, it is determined whether the straight line transmission path of the heating data is qualified, and the straight line transmission path of the heating data is marked.

[0012] Or, determine that the straight-line transmission path of the heating data is unqualified, and mark the straight-line transmission path of the heating data based on the average duration of interfering weather in the distribution area of ​​the heating pipeline;

[0013] Step S4, counting the number of marked straight-line transmission paths of various types of heating data, and determining a processing method for the heating data transmission process according to the counted number, the processing method including: adding a repeater and adjusting the signal boosting power of the signal booster;

[0014] Step S5, transmitting heating data, cleaning the received heating data, and storing the cleaned heating data.

[0015] Furthermore, in step S3, analyzing whether the straight-line transmission path of the heating data is qualified based on the number of cross-substance crossings includes:

[0016] When it is determined that the heating data straight line transmission path is qualified, the heating data straight line transmission path is marked as a first-level transmission path;

[0017] When it is preliminarily determined that the linear transmission path of the heating data is unqualified, a secondary determination is made as to whether the linear transmission path of the heating data is qualified based on the length of the non-air material traversed in the linear transmission path of the heating data. Alternatively, if it is determined that the linear transmission path of the heating data is unqualified, there is a risk of signal transmission interruption.

[0018] Furthermore, in step S3, secondarily determining whether the straight line transmission path of the heating data is qualified based on the length of the non-air material passed through in the straight line transmission path of the heating data comprises:

[0019] Determine the length of each material that is traversed in the straight-line transmission path of the heating data.

[0020] Calculate the total length of non-air matter,

[0021] Calculate the ratio of the total length of non-air material to the total length of the straight-line transmission path of the heating data to obtain the proportion of non-empty paths.

[0022] Based on the proportion of non-empty paths, it is determined whether the straight-line transmission path of heating data is qualified.

[0023] When it is determined that the heating data straight line transmission path is qualified, the heating data straight line transmission path is marked as a first-level transmission path;

[0024] When it is determined that the straight-line transmission path of the heating data is unqualified, the straight-line transmission path of the heating data is marked as a secondary transmission path.

[0025] Furthermore, when it is determined in step S3 that the heating data straight line transmission path is unqualified, the heating data straight line transmission path is marked based on the average duration of interfering weather in the heating pipeline distribution area, including:

[0026] Obtain historical data on interfering weather within the distribution area of ​​heating pipelines,

[0027] Calculate the annual average duration of interfering weather,

[0028] The heating data linear transmission path is marked based on the proportion of the underground portion in the heating data linear transmission path determined based on the annual average duration, or the heating data linear transmission path is marked as a third-level transmission path.

[0029] Furthermore, the step of marking the heating data straight line transmission path based on the proportion of the underground portion in the heating data straight line transmission path includes:

[0030] Determine the length of the underground portion of the straight-line transmission path for heating data,

[0031] Calculate the ratio of the length of the underground part to the total length of the straight-line transmission path of the heating data to obtain the proportion of the underground part.

[0032] Based on the proportion of the underground part, it is determined that the straight-line transmission path of the heating data is marked as a secondary transmission path, or the straight-line transmission path of the heating data is marked as a tertiary transmission path.

[0033] Furthermore, the method of determining a processing method for the heating data transmission process according to the statistical quantity includes:

[0034] Calculate the ratio of the number of each type of heating data straight-line transmission path to the total number of heating data straight-line transmission paths to obtain the proportion of each type of transmission path.

[0035] Based on the proportion of various transmission paths, it is determined whether the heating data transmission process in the current area is qualified.

[0036] When it is determined that the heating data transmission process in the current area is unqualified, a repeater is added between the heating data sending point and the heating data receiving point, or the signal boosting power of the signal enhancer is adjusted based on the annual average duration of interfering weather in the heating pipeline distribution area.

[0037] Furthermore, under the condition of determining to add a repeater, the gain of the repeater is determined based on the annual average duration of interfering weather in the heating pipeline distribution area, wherein the gain of the repeater is positively correlated with the annual average duration.

[0038] Furthermore, the signal boosting power of the signal enhancer is adjusted based on the annual average duration of interfering weather in the heating pipeline distribution area, wherein the increase in the signal boosting power is positively correlated with the annual average duration.

[0039] Furthermore, under the condition of determining that a single heating data linear transmission path is marked as a third-level transmission path, the data collection frequency of the data sending point is adjusted based on the number of cross-material crossings of the heating data linear transmission path, wherein the increase in the data collection frequency is positively correlated with the number of cross-material crossings.

[0040] Furthermore, the signal enhancer is used to enhance the signal sent by the heating data sending point.

[0041] Compared with the prior art, the beneficial effect of the present invention lies in that, in the present invention, three-dimensional modeling is performed on the buildings in the area where the heating pipeline is located, and the data transmission situation of the transmission path is analyzed according to the complexity of the materials passing through between the data receiving point and the data sending point. The more types of materials the data passes through in the path, the more times the data passes through from one material to another, and the greater the interference to the transmission process. The present invention determines the degree of interference of the path to the signal according to the number of signal crossings in the data transmission path, and then preliminarily analyzes the data transmission situation of a single data transmission path according to the degree of interference, and marks each path. After marking, the number of each type of path is counted, and the processing method for the data transmission path is determined according to the proportion of the number of each type of path, thereby improving the data transmission efficiency of each path, reducing the impact caused by too many types of materials passing through, and improving the quality of transmitted data.

[0042] Furthermore, in the present invention, whether the data transmission path is qualified is preliminarily analyzed based on the number of times the material in the data transmission path crosses. When the number of material crossings is large, considering that when the signal is transmitted in the air, the interference degree of air to the signal is low, while non-air substances are mostly metals, minerals, etc., and the interference degree of non-air substances to the signal is large, a secondary judgment is made on whether the data transmission path is qualified based on the path length of the non-air substance crossed, thereby improving the analysis accuracy of the data transmission path.

[0043] Furthermore, the present invention takes into account that the weather will have an impact on the transmitted data, such as rainy days and foggy weather. The present invention analyzes the data transmission process according to the duration of the interfering weather. The more interfering weather there is and the longer the duration, the greater the impact on the data transmission process. The transmission path is marked according to the duration of the interfering weather, thereby improving the control accuracy of each path and improving the analysis accuracy of the data transmission process. The present invention also takes into account that some heating pipelines are set underground, and the heating data signal needs to be transmitted underground first and then transmitted to the external environment. The external environment is mostly metal buildings, and metal interferes greatly with the signal. Considering that the signal is more susceptible to interference in the external environment on the ground, the analysis is performed according to the proportion of the underground part in the path, thereby further improving the analysis accuracy of the data transmission path. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of a heating data processing method based on artificial intelligence;

[0045] Figure 2 A flow chart for analyzing whether the straight-line transmission path of heating data is qualified;

[0046] Figure 3 A flow chart for determining whether the straight-line transmission path of heating data is qualified for secondary determination;

[0047] Figure 4 The present invention is a flow chart for determining the marking of the linear transmission path of heating data. DETAILED DESCRIPTION

[0048] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; 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.

[0049] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical data of the system of the present invention in the six months before this determination and the corresponding historical determination results. It can be understood by those skilled in the art that the determination method of the system of the present invention for a single parameter mentioned above can be to select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to use the obtained value as the preset standard parameter, substitute each historical data into a specific formula and use the value obtained by the formula as the preset standard parameter or other selection methods, as long as the system of the present invention can clearly define different specific situations in the single determination process through the obtained values.

[0050] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0051] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0052] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] See also Figure 1 As shown, it is a flow chart of a heating data processing method based on artificial intelligence.

[0054] The heating data processing method based on artificial intelligence provided in this embodiment includes:

[0055] Step S1, obtaining building information of the heating area, constructing a three-dimensional model based on the building information, and determining each heating data sending point on the heating pipeline in the three-dimensional model;

[0056] Step S2, respectively connecting each of the heating data sending points with the heating data receiving points to obtain a straight line transmission path for the heating data;

[0057] Step S3, counting the number of cross-substance crossings in a single straight-line transmission path of heating data, and analyzing whether the straight-line transmission path of heating data is qualified based on the number of cross-substance crossings. When it is preliminarily determined that the straight-line transmission path of heating data is unqualified,

[0058] Based on the length of the non-air material traversed in the straight line transmission path of the heating data, it is determined whether the straight line transmission path of the heating data is qualified, and the straight line transmission path of the heating data is marked.

[0059] Or, determine that the straight-line transmission path of the heating data is unqualified, and mark the straight-line transmission path of the heating data based on the average duration of interfering weather in the distribution area of ​​the heating pipeline;

[0060] Step S4, counting the number of marked straight-line transmission paths of various types of heating data, and determining a processing method for the heating data transmission process according to the counted number, the processing method including: adding a repeater and adjusting the signal boosting power of the signal booster;

[0061] Step S5, transmitting heating data, cleaning the received heating data, and storing the cleaned heating data.

[0062] Specifically, in this embodiment, the location of the heating pipeline includes but is not limited to underground. Several sensors are installed on the heating pipeline to send heating data of corresponding points. A heating data receiving point is also provided to receive heating data from each heating data sending point.

[0063] Specifically, in this embodiment, the specific structure of the heating data receiving device is not limited. It only needs to be able to receive the heating data signal. A radio frequency receiver or a ZigBee receiver can be used, which belongs to the existing technology and will not be described in detail here.

[0064] Specifically, in this embodiment, the method for determining the number of cross-substance crossings is the number of crossings from one substance to another substance along the transmission path, starting from the substance contacted by the heating data sending point.

[0065] In the present invention, three-dimensional modeling is performed on the buildings in the area where the heating pipeline is located, and the data transmission situation of the transmission path is analyzed according to the complexity of the materials traversed between the data receiving point and the data sending point. The more types of materials the data traverses in the path, the more times the data crosses from one material to another, and the greater the interference to the transmission process. The present invention determines the interference degree of the path to the signal according to the number of signal crossings in the data transmission path, and then preliminarily analyzes the data transmission situation of a single data transmission path according to the interference degree, and marks each path. After marking, the number of each type of path is counted, and the processing method for the data transmission path is determined according to the proportion of the number of each type of path, thereby improving the data transmission efficiency of each path, reducing the impact caused by too many types of materials traversed, and improving the quality of transmitted data.

[0066] See also Figure 2 As shown, it is a flow chart for analyzing whether the linear transmission path of heating data is qualified.

[0067] Specifically, the step S3 analyzes whether the straight-line transmission path of the heating data is qualified based on the number of cross-substance crossings, including:

[0068] If the number of cross-substance crossings is less than or equal to the first preset number of cross-substance crossings, the heating data straight line transmission path is determined to be qualified, and the heating data straight line transmission path is marked as a first-level transmission path;

[0069] If the number of cross-substance crossings is greater than the first preset number of cross-substance crossings and less than or equal to the second preset number of cross-substance crossings, it is preliminarily determined that the heating data straight line transmission path is unqualified, and a second determination is made as to whether the heating data straight line transmission path is qualified based on the length of the non-air substance crossed in the heating data straight line transmission path;

[0070] If the number of cross-substance crossings is greater than the second preset number of cross-substance crossings, it is determined that the straight-line transmission path of the heating data is unqualified and there is a risk of signal transmission interruption.

[0071] Specifically, in this embodiment, the first preset number of cross-substance crossings and the second preset number of cross-substance crossings are obtained in advance, and several straight-line transmission paths for heating data with qualified heating data transmission are obtained. The number of cross-substance crossings of each transmission path is counted respectively, and the average number of cross-substance crossings is solved. The first preset number of cross-substance crossings is 0.9 to 1.1 times the average number of cross-substance crossings, and the second preset number of cross-substance crossings is 1.2 to 1.3 times the average number of cross-substance crossings.

[0072] In the present invention, whether the data transmission path is qualified is preliminarily analyzed based on the number of times the material in the data transmission path crosses. When the number of material crossings is large, considering that when the signal is transmitted in the air, the interference degree of air to the signal is low, while non-air substances are mostly metals, minerals, etc., and the interference degree of non-air substances to the signal is large, a secondary judgment is made on whether the data transmission path is qualified based on the path length of the non-air substance crossed, thereby improving the analysis accuracy of the data transmission path.

[0073] See also Figure 3 As shown, it is a flow chart for secondary determination of whether the linear transmission path of heating data is qualified.

[0074] Specifically, the second determination of whether the heating data straight line transmission path is qualified based on the length of the non-air material traversed in the heating data straight line transmission path in step S3 includes:

[0075] Determine the length of each material that is traversed in the straight-line transmission path of the heating data.

[0076] Calculate the total length of non-air matter,

[0077] Calculate the ratio of the total length of non-air material to the total length of the straight-line transmission path of the heating data to obtain the proportion of non-empty paths.

[0078] If the non-empty path ratio is less than or equal to the preset non-empty path ratio standard threshold, the heating data straight line transmission path is determined to be qualified, and the heating data straight line transmission path is marked as a first-level transmission path;

[0079] If the non-empty path ratio is greater than the preset non-empty path ratio standard threshold, the heating data straight line transmission path is determined to be unqualified, and the heating data straight line transmission path is marked as a secondary transmission path.

[0080] Specifically, in this embodiment, the preset standard threshold value of the proportion of non-empty paths is obtained by pre-measurement, and several straight-line transmission paths of heating data with qualified heating data transmission are obtained. The lengths of various substances passed through each transmission path are counted respectively, and the total length of non-air substances is solved. The length proportion of non-air substances is solved, and the average length proportion is solved to obtain the preset standard threshold value of the proportion of non-empty paths.

[0081] See also Figure 4 As shown, it is a determination flow chart for marking the linear transmission path of heating data.

[0082] Specifically, when it is determined in step S3 that the heating data straight line transmission path is unqualified, the heating data straight line transmission path is marked based on the average duration of interfering weather in the heating pipeline distribution area, including:

[0083] Obtain historical data on interfering weather within the distribution area of ​​heating pipelines,

[0084] Calculate the annual average duration of interfering weather,

[0085] If the annual average duration is less than or equal to the preset annual average duration standard threshold, it is determined to mark the heating data straight line transmission path based on the proportion of the underground portion in the heating data straight line transmission path;

[0086] If the annual average duration is greater than the preset annual average duration standard threshold, it is determined that the heating data linear transmission path is marked as a third-level transmission path.

[0087] Specifically, in this embodiment, the type of interfering weather that affects the transmission of heating data is determined based on big data.

[0088] Specifically, in this embodiment, the annual average duration of interfering weather in the heating pipeline distribution area suitable for heating data transmission is determined based on big data, and the preset annual average duration standard threshold is 1.1 to 1.2 times the determined annual average duration.

[0089] The present invention takes into account that the weather will have an impact on the transmitted data, such as rainy days and foggy weather. The present invention analyzes the data transmission process according to the duration of the interfering weather. The more interfering weather there is and the longer the duration, the greater the impact on the data transmission process. The transmission path is marked according to the duration of the interfering weather, thereby improving the control precision for each path and improving the analysis accuracy of the data transmission process. The present invention also takes into account that some heating pipelines are set underground, and the heating data signal needs to be transmitted underground first and then transmitted to the external environment. The external environment is mostly metal buildings, and metal interferes greatly with the signal. Considering that the signal is more susceptible to interference in the external environment on the ground, the analysis is performed according to the proportion of the underground part in the path, thereby further improving the analysis accuracy of the data transmission path.

[0090] Specifically, marking the heating data straight line transmission path based on the proportion of the underground portion in the heating data straight line transmission path includes:

[0091] Determine the length of the underground portion of the straight-line transmission path for heating data,

[0092] Calculate the ratio of the length of the underground part to the total length of the straight-line transmission path of the heating data to obtain the proportion of the underground part.

[0093] If the proportion of the underground part is greater than or equal to the preset proportion of the underground part, it is determined that the straight transmission path of the heating data is marked as a secondary transmission path;

[0094] If the proportion of the underground part is less than the preset proportion of the underground part, it is determined that the linear transmission path of the heating data is marked as a third-level transmission path.

[0095] Specifically, in this embodiment, the preset underground part ratio is obtained by pre-measurement, and several straight line transmission paths of heating data with qualified heating data transmission are obtained. The length of the underground part in each transmission path is counted respectively, and the ratio of the length of the underground part to the total length of the transmission path is solved to obtain the preset underground part ratio, wherein the underground part is the part below the ground level.

[0096] Specifically, the method of determining a processing method for the heating data transmission process according to the statistical quantity includes:

[0097] Calculate the ratio of the number of each type of heating data straight-line transmission path to the total number of heating data straight-line transmission paths to obtain the proportion of each type of transmission path.

[0098] If the first level accounts for the largest proportion, it is determined that the heating data transmission process in the current area is qualified;

[0099] If the secondary accounts for the largest proportion, the heating data transmission process in the current area is determined to be unqualified, and a repeater is added between the heating data sending point and the heating data receiving point;

[0100] If level three accounts for the largest proportion, the heating data transmission process in the current area is determined to be unqualified, and the signal boosting power of the signal enhancer is adjusted based on the annual average duration of interfering weather in the heating pipeline distribution area.

[0101] Specifically, in this embodiment, the ratio of the number of first-level transmission paths to the total number of linear transmission paths for heating data is the first-level ratio, the ratio of the number of second-level transmission paths to the total number of linear transmission paths for heating data is the second-level ratio, and the ratio of the number of third-level transmission paths to the total number of linear transmission paths for heating data is the third-level ratio.

[0102] Specifically, under the condition of determining to add a repeater, the gain of the repeater is determined based on the annual average duration of interfering weather in the heating pipeline distribution area, wherein the gain of the repeater is positively correlated with the annual average duration.

[0103] In this embodiment, optionally, the annual average duration is compared with the first preset annual average duration and the second preset annual average duration.

[0104] If the annual average duration is less than or equal to the first preset annual average duration, determining the gain of the repeater to be the first gain;

[0105] If the annual average duration is greater than the first preset annual average duration and less than or equal to the second preset annual average duration, determining the gain of the repeater to be the second gain;

[0106] If the annual average duration is greater than the second preset annual average duration, determining the gain of the repeater to be a third gain;

[0107] Among them, the first gain is smaller than the second gain, the second gain is smaller than the third gain, the first preset annual average duration is 1.2 times the preset annual average duration standard threshold, and the second preset annual average duration is 1.3 times the preset annual average duration standard threshold.

[0108] Specifically, the signal boosting power of the signal enhancer is adjusted based on the annual average duration of interfering weather in the distribution area of ​​the heating pipelines, wherein the increase in the signal boosting power is positively correlated with the annual average duration.

[0109] In this embodiment, optionally, the annual average duration is compared with the first preset annual average duration and the second preset annual average duration.

[0110] If the annual average duration is less than or equal to the first preset annual average duration, the first signal boost power is increased, wherein the first signal boost power is 0.1 times the initial signal boost power;

[0111] If the annual average duration is greater than the first preset annual average duration and less than or equal to the second preset annual average duration, increase the second signal boost power, wherein the second signal boost power is 0.2 times the initial signal boost power;

[0112] If the annual average duration is greater than the second preset annual average duration, the third signal boost power is increased, wherein the third signal boost power is 0.3 times the initial signal boost power.

[0113] Specifically, under the condition of marking a single heating data linear transmission path as a third-level transmission path, the data collection frequency of the data sending point is adjusted based on the number of cross-material crossings of the heating data linear transmission path, wherein the increase in data collection frequency is positively correlated with the number of cross-material crossings.

[0114] In this embodiment, optionally, the number of cross-substance crossings is compared with a preset number of cross-substance crossings.

[0115] If the number of cross-substance crossings is less than or equal to the preset number of cross-substance crossings, the first data collection frequency is increased, and the first data collection frequency is 0.1 times the initial data collection frequency;

[0116] If the number of cross-substance crossings is greater than the preset number of cross-substance crossings, the second data collection frequency is increased, and the second data collection frequency is 0.2 times the initial data collection frequency;

[0117] The preset number of cross-substance crossings is 1.1 times the first preset number of cross-substance crossings.

[0118] Specifically, the signal enhancer is used to enhance the signal sent by the heating data sending point.

[0119] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0120] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A heating data processing method based on artificial intelligence, characterized in that: include: Step S1, obtaining building information of the heating area, constructing a three-dimensional model based on the building information, and determining each heating data sending point on the heating pipeline in the three-dimensional model; Step S2, respectively connecting each of the heating data sending points with the heating data receiving points to obtain a straight line transmission path for the heating data; Step S3, counting the number of cross-substance crossings in a single straight-line transmission path of heating data, and analyzing whether the straight-line transmission path of heating data is qualified based on the number of cross-substance crossings. When it is preliminarily determined that the straight-line transmission path of heating data is unqualified, Based on the length of the non-air material traversed in the straight line transmission path of the heating data, it is determined whether the straight line transmission path of the heating data is qualified, and the straight line transmission path of the heating data is marked. Or, determine that the straight-line transmission path of the heating data is unqualified, and mark the straight-line transmission path of the heating data based on the average duration of interfering weather in the distribution area of ​​the heating pipeline; Step S4, counting the number of marked straight-line transmission paths of various types of heating data, and determining a processing method for the heating data transmission process according to the counted number, the processing method including: adding a repeater and adjusting the signal boosting power of the signal booster; Step S5, transmitting heating data, cleaning the received heating data, and storing the cleaned heating data.

2. The heating data processing method based on artificial intelligence according to claim 1 is characterized in that: The step S3 analyzes whether the straight-line transmission path of the heating data is qualified based on the number of cross-substance crossings, including: When it is determined that the heating data straight line transmission path is qualified, the heating data straight line transmission path is marked as a first-level transmission path; When it is preliminarily determined that the linear transmission path for heating data is unqualified, a secondary determination is made as to whether the linear transmission path for heating data is qualified based on the length of the non-air material traversed in the linear transmission path for heating data; or, if it is determined that the linear transmission path for heating data is unqualified, there is a risk of signal transmission interruption.

3. The heating data processing method based on artificial intelligence according to claim 1 is characterized in that: In step S3, secondarily determining whether the straight line transmission path of the heating data is qualified based on the length of the non-air material passed through in the straight line transmission path of the heating data comprises: Determine the length of each material that is traversed in the straight-line transmission path of the heating data. Calculate the total length of non-air matter, Calculate the ratio of the total length of non-air material to the total length of the straight-line transmission path of the heating data to obtain the proportion of non-empty paths. Based on the proportion of non-empty paths, it is determined whether the straight-line transmission path of heating data is qualified. When it is determined that the heating data straight line transmission path is qualified, the heating data straight line transmission path is marked as a first-level transmission path; When it is determined that the straight-line transmission path of the heating data is unqualified, the straight-line transmission path of the heating data is marked as a secondary transmission path.

4. The heating data processing method based on artificial intelligence according to claim 1 is characterized in that: When it is determined in step S3 that the heating data straight line transmission path is unqualified, the heating data straight line transmission path is marked based on the average duration of interfering weather in the heating pipeline distribution area, including: Obtain historical data on interfering weather within the distribution area of ​​heating pipelines, Calculate the annual average duration of interfering weather, The heating data linear transmission path is marked based on the proportion of the underground portion in the heating data linear transmission path determined based on the annual average duration, or the heating data linear transmission path is marked as a third-level transmission path.

5. The heating data processing method based on artificial intelligence according to claim 4 is characterized in that: The marking of the heating data straight line transmission path based on the proportion of the underground portion in the heating data straight line transmission path includes: Determine the length of the underground portion of the straight-line transmission path for heating data, Calculate the ratio of the length of the underground part to the total length of the straight-line transmission path of the heating data to obtain the proportion of the underground part. Based on the proportion of the underground part, it is determined that the straight-line transmission path of the heating data is marked as a secondary transmission path, or the straight-line transmission path of the heating data is marked as a tertiary transmission path.

6. The heating data processing method based on artificial intelligence according to claim 1 is characterized in that: The method of determining a processing method for the heating data transmission process according to the statistical quantity includes: Calculate the ratio of the number of each type of heating data straight-line transmission path to the total number of heating data straight-line transmission paths to obtain the proportion of each type of transmission path. Based on the proportion of various transmission paths, it is determined whether the heating data transmission process in the current area is qualified. When it is determined that the heating data transmission process in the current area is unqualified, a repeater is added between the heating data sending point and the heating data receiving point, or the signal boosting power of the signal enhancer is adjusted based on the annual average duration of interfering weather in the heating pipeline distribution area.

7. The heating data processing method based on artificial intelligence according to claim 6 is characterized in that: Under the condition of determining to add a repeater, the gain of the repeater is determined based on the annual average duration of interfering weather in the heating pipeline distribution area, wherein the gain of the repeater is positively correlated with the annual average duration.

8. The heating data processing method based on artificial intelligence according to claim 6 is characterized in that: The signal boosting power of the signal enhancer is adjusted based on the annual average duration of interfering weather in the heating pipeline distribution area, wherein the increase in the signal boosting power is positively correlated with the annual average duration.

9. The heating data processing method based on artificial intelligence according to claim 5 is characterized in that: Under the condition of marking a single heating data linear transmission path as a tertiary transmission path, the data collection frequency of the data sending point is adjusted based on the number of cross-material crossings of the heating data linear transmission path, wherein the increase in the data collection frequency is positively correlated with the number of cross-material crossings.

10. The heating data processing method based on artificial intelligence according to claim 6, characterized in that: The signal enhancer is used to enhance the signal sent by the heating data sending point.

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