Laying cable selection apparatus, method and device based on environmental parameters

Abstract

The application discloses a laying cable selection device, method and equipment based on environmental parameters, and belongs to the technical field of power equipment. The device comprises an environmental parameter acquisition module for acquiring parameter information in an environment; wherein the parameter information comprises at least one of a temperature parameter, a humidity parameter, a wind power parameter, an illumination parameter and a corrosion parameter; a model calling module for calling a laying model of a cable laying scheme obtained based on existing environmental parameters; and a cable determination module for determining a cable suitable for selection in a current environment based on the laying model. According to the technical scheme, the laying model can be obtained by supervising and training a historical laying scheme, the required laying scheme can be obtained by inputting environmental parameters, the threshold of cable laying design is reduced, and the design efficiency is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power equipment, and particularly relates to a laying cable selection device, method and equipment based on environmental parameters. BACKGROUND

[0002] With the development of economy and the continuous improvement of the level of science and technology, high-quality life is being pursued, which requires a strong material foundation to meet the living standards of the people. The guarantee of electricity is a key link for people to pursue high-quality life. Electricity is not only applied in various aspects of life, but also facilitates people's clothing, food, shelter and transportation. Therefore, how to ensure the stability and safety of the power system is the responsibility of every staff working in this field. Today, in order to avoid the restriction of space, typhoon, lightning, ice and snow and other natural conditions on power supply, the laying scheme of power cable is also optimized.

[0003] At present, for the design of cable laying scheme, industry experts often judge some requirements of cable laying according to experience, which can lead to that personnel with less experience cannot effectively design the cable laying scheme. Therefore, how to reduce the design threshold and improve the efficiency in the process of cable laying design is a problem to be solved in the field. SUMMARY

[0004] The purpose of the embodiment of the application is to provide a laying cable selection device, method and equipment based on environmental parameters, which obtains a laying model by supervising and training historical laying schemes, and obtains the required laying scheme by inputting environmental parameters, thereby reducing the threshold of cable laying design and improving the design efficiency.

[0005] In a first aspect, the embodiment of the application provides a laying cable selection device based on environmental parameters, which comprises:

[0006] An environmental parameter acquisition module is configured to acquire parameter information in the environment, wherein the parameter information comprises at least one of a temperature parameter, a humidity parameter, a wind power parameter, an illumination parameter and a corrosion parameter;

[0007] A model calling module is configured to call a laying model of a cable laying scheme obtained in advance based on existing environmental parameters;

[0008] A cable determination module is configured to determine a cable suitable for selection in a current environment based on the laying model, wherein the cable to be selected comprises one of a high-temperature-resistant cable, a moisture-resistant cable, a weather-resistant cable, a corrosion-resistant cable and a conventional cable.

[0009] Further, the device further comprises:

[0010] The model training module is configured to acquire parameter information in an environment of a laying site in a historical laying scheme, and acquire a finally selected laying scheme as a training sample of a model; and perform supervised training on a basic model by taking the laying scheme as a sample label to obtain a laying model.

[0011] Further, the device further comprises:

[0012] The environmental parameter processing module is configured to transform the acquired environmental data according to a preset rule, and generate a parameter log according to a transformation result.

[0013] The parameter log includes one or more of high temperature, high humidity, high wind, strong light, and strong corrosion.

[0014] Further, the environmental parameter processing module is specifically configured to:

[0015] Determine the number of occurrences, the duration of occurrence, or the frequency of occurrence of the temperature being higher than a preset temperature within a statistical period, to obtain the transformation result, by taking one of day, week, month, or quarter as the statistical period.

[0016] Determine the number of occurrences, the duration of occurrence, or the frequency of occurrence of the humidity being higher than a preset humidity within a statistical period, to obtain the transformation result, by taking one of day, week, month, or quarter as the statistical period.

[0017] Determine the number of occurrences, the duration of occurrence, or the frequency of occurrence of the wind being higher than a preset wind within a statistical period, to obtain the transformation result, by taking one of day, week, month, or quarter as the statistical period.

[0018] Determine the number of occurrences, the duration of occurrence, or the frequency of occurrence of the light intensity being higher than a preset light intensity within a statistical period, to obtain the transformation result, by taking one of day, week, month, or quarter as the statistical period.

[0019] Determine the number of occurrences, the duration of occurrence, or the frequency of occurrence of the concentration of the corrosive substance being higher than a preset corrosive substance concentration within a statistical period, to obtain the transformation result, by taking one of day, week, month, or quarter as the statistical period.

[0020] Further, the environmental parameter processing module is specifically configured to:

[0021] Determine whether the temperature variation amplitude is higher than a preset temperature variation amplitude within a statistical period, to obtain the transformation result, by taking one of day, week, month, or quarter as the statistical period.

[0022] The humidity parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the humidity change range in the statistical period is higher than a preset humidity change range, to obtain a conversion result;

[0023] The wind force parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the wind force change range in the statistical period is higher than a preset wind force change range, to obtain a conversion result;

[0024] The illumination parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the illumination intensity change range in the statistical period is higher than a preset illumination intensity change range, to obtain a conversion result;

[0025] The corrosion parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the corrosion concentration change range in the statistical period is higher than a preset corrosion concentration change range, to obtain a conversion result.

[0026] Further, the environmental parameter processing module is specifically configured to:

[0027] The temperature parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the temperature change rate in the statistical period is higher than a preset temperature change rate, to obtain a conversion result;

[0028] The humidity parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the humidity change rate in the statistical period is higher than a preset humidity change rate, to obtain a conversion result;

[0029] The wind force parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the wind force change rate in the statistical period is higher than a preset wind force change rate, to obtain a conversion result;

[0030] The illumination parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the illumination intensity change rate in the statistical period is higher than a preset illumination intensity change rate, to obtain a conversion result;

[0031] The corrosion parameter obtained is taken as a statistical period of one of day, week, month or quarter, to determine whether the corrosion concentration change rate in the statistical period is higher than a preset corrosion concentration change rate, to obtain a conversion result.

[0032] In a second aspect, an environmental parameter-based cable laying selection method is provided, which comprises:

[0033] An environmental parameter-based cable laying selection method, which comprises:

[0034] acquire parameter information in the environment through an environment parameter acquisition module; the parameter information includes at least one of a temperature parameter, a humidity parameter, a wind force parameter, an illumination parameter, and a corrosive parameter;

[0035] call a laying model of a cable laying scheme obtained in advance based on an existing environment parameter through a model calling module;

[0036] determine a cable suitable for selection in the current environment based on the laying model through a cable determination module, wherein the cable to be selected includes one of a high-temperature-resistant cable, a moisture-resistant cable, a weather-resistant cable, a corrosion-resistant cable, and a conventional cable.

[0037] Further, before the laying model of the cable laying scheme obtained in advance based on the existing environment parameter is called through the model calling module, the method further includes:

[0038] acquire parameter information in the environment of a laying site in a historical laying scheme and acquire a finally selected laying scheme as a training sample of the model through a model training module; and perform supervised training on a basic model by taking the laying scheme as a sample label to obtain the laying model.

[0039] Further, after the parameter information in the environment is acquired through the environment parameter acquisition module, the method further includes:

[0040] transform the acquired environment data according to a preset rule through an environment parameter processing module, and generate a parameter log according to a transformation result;

[0041] The parameter log includes one or more of high temperature, high humidity, high wind force, strong illumination, and strong corrosion in the parameter.

[0042] Further, the acquired environment data is transformed according to a preset rule through the environment parameter processing module, and a parameter log is generated according to a transformation result, including:

[0043] the temperature parameter is acquired, one of day, week, month, or quarter is taken as a statistical period, the occurrence number, occurrence duration, or occurrence frequency of the temperature being higher than a preset temperature in the statistical period is determined to obtain the transformation result;

[0044] the humidity parameter is acquired, one of day, week, month, or quarter is taken as a statistical period, the occurrence number, occurrence duration, or occurrence frequency of the humidity being higher than a preset humidity in the statistical period is determined to obtain the transformation result;

[0045] The wind force parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and the occurrence times, occurrence duration or occurrence frequency of the wind force being higher than the preset wind force in the statistical period are determined to obtain a conversion result.

[0046] The light parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and the occurrence times, occurrence duration or occurrence frequency of the light intensity being higher than the preset light intensity in the statistical period are determined to obtain a conversion result.

[0047] The corrosion parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and the occurrence times, occurrence duration or occurrence frequency of the corrosion concentration being higher than the preset corrosion concentration in the statistical period are determined to obtain a conversion result.

[0048] Further, the environment data acquired is converted according to a preset rule by the environment parameter processing module, and a parameter log is generated according to the conversion result, including:

[0049] The temperature parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and whether the temperature change amplitude in the statistical period is higher than a preset temperature change amplitude is determined to obtain a conversion result.

[0050] The humidity parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and whether the humidity change amplitude in the statistical period is higher than a preset humidity change amplitude is determined to obtain a conversion result.

[0051] The wind force parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and whether the wind force change amplitude in the statistical period is higher than a preset wind force change amplitude is determined to obtain a conversion result.

[0052] The light parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and whether the light intensity change amplitude in the statistical period is higher than a preset light intensity change amplitude is determined to obtain a conversion result.

[0053] The corrosion parameter is acquired, one of day, week, month or quarter is taken as a statistical period, and whether the corrosion concentration change amplitude in the statistical period is higher than a preset corrosion concentration change amplitude is determined to obtain a conversion result.

[0054] Further, the environment data acquired is converted according to a preset rule by the environment parameter processing module, and a parameter log is generated according to the conversion result, including:

[0055] The acquired temperature parameter is taken as a statistical period of day, week, month or quarter, and it is determined whether the temperature change rate in the statistical period is higher than a preset temperature change rate, to obtain a conversion result;

[0056] The acquired humidity parameter is taken as a statistical period of day, week, month or quarter, and it is determined whether the humidity change rate in the statistical period is higher than a preset humidity change rate, to obtain a conversion result;

[0057] The acquired wind force parameter is taken as a statistical period of day, week, month or quarter, and it is determined whether the wind force change rate in the statistical period is higher than a preset wind force change rate, to obtain a conversion result;

[0058] The acquired light parameter is taken as a statistical period of day, week, month or quarter, and it is determined whether the light intensity change rate in the statistical period is higher than a preset light intensity change rate, to obtain a conversion result;

[0059] The acquired corrosion parameter is taken as a statistical period of day, week, month or quarter, and it is determined whether the corrosion concentration change rate in the statistical period is higher than a preset corrosion concentration change rate, to obtain a conversion result.

[0060] In a third aspect, an electronic device is provided, which includes a processor, a memory, and a program or instruction stored in the memory and executable in the processor, and the program or instruction, when executed by the processor, implements the steps of the method according to the first aspect.

[0061] In a fourth aspect, a readable storage medium is provided, which stores a program or instruction, and the program or instruction, when executed by a processor, implements the steps of the method according to the first aspect.

[0062] In a fifth aspect, a chip is provided, which includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or instruction to implement the method according to the first aspect.

[0063] In this embodiment, an environmental parameter acquisition module is used to acquire parameter information in the environment; wherein, the parameter information includes at least one of temperature parameter, humidity parameter, wind force parameter, light intensity parameter, and corrosive substance parameter; a model invocation module is used to invoke a laying model of a cable laying scheme obtained in advance based on existing environmental parameters; a cable determination module is used to determine a suitable cable to be selected in the current environment based on the laying model, wherein the cable to be selected includes one of high-temperature resistant cable, moisture-resistant cable, weather-resistant cable, corrosion-resistant cable, and conventional cable. Through the above-mentioned cable selection device based on environmental parameters, the problem of personnel limitations in cable laying design can be solved. By supervising the training of historical laying schemes to obtain a laying model, the required laying scheme can be obtained by inputting environmental parameters, thus lowering the threshold for cable laying design and improving design efficiency. Attached Figure Description

[0064] Figure 1 This is a schematic diagram of the cable laying selection device based on environmental parameters provided in Embodiment 1 of this application;

[0065] Figure 2 This is a schematic diagram of the cable laying selection device based on environmental parameters provided in Embodiment 2 of this application;

[0066] Figure 3 This is a schematic diagram of the cable laying selection device based on environmental parameters provided in Embodiment 3 of this application;

[0067] Figure 4 This is a schematic diagram of the cable laying selection device based on environmental parameters provided in Embodiment 4 of this application;

[0068] Figure 5 This is a schematic diagram of the cable laying selection device based on environmental parameters provided in Embodiment 5 of this application;

[0069] Figure 6 This is a schematic flowchart of the cable laying selection device based on environmental parameters provided in Embodiment Six of this application;

[0070] Figure 7 This is a schematic diagram of the structure of the electronic device provided in Embodiment 7 of this application. Detailed Implementation

[0071] In order to make the purposes, technical solutions and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts related to the present application are shown in the drawings, but not all. Before discussing the example embodiments in more detail, it should be mentioned that some example embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The processes can be terminated when the operations are completed, but can also have additional steps not included in the drawings. The processes can correspond to methods, functions, procedures, subroutines, etc.

[0072] The technical solutions in the embodiments of the present application will be described clearly in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art belong to the scope of protection of the present application.

[0073] The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second" and the like are generally a class, not limited to the number of objects, for example, the first object can be one or more. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / ", generally means that the front and rear associated objects are in an "or" relationship.

[0074] The environment parameter based cable laying selection device, method and equipment provided by the embodiments of the present application will be described in detail below in conjunction with the drawings and specific embodiments and their application scenarios.

[0075] Embodiment one

[0076] Figure 1 is a structural schematic diagram of the environment parameter based cable laying selection device provided by the first embodiment of the present application. As shown in Figure 1 , specifically includes the following:

[0077] The environment parameter acquisition module 101 is configured to acquire parameter information in the environment, wherein the parameter information includes at least one of temperature parameters, humidity parameters, wind power parameters, illumination parameters and corrosion parameters.

[0078] The model calling module 102 is configured to call a laying model of a cable laying scheme obtained in advance based on existing environment parameters;

[0079] The cable determining module 103 is configured to determine a cable suitable for selection in the current environment based on the laying model, wherein the cable to be selected includes one of a high-temperature-resistant cable, a moisture-resistant cable, a weather-resistant cable, a corrosion-resistant cable and a conventional cable.

[0080] Firstly, the use scenario of the present application can be in the scenario of cable laying design. In the process of cable laying design, by inputting the collected environment parameters into the laying model, a suitable cable can be automatically designed. Based on the above use scenario, it can be understood that the execution subject of the present application can be an intelligent electronic device integrating the above device, or a software running in the intelligent electronic device or a system established, which is not limited here.

[0081] In the present scheme, the parameter information in the environment parameter acquisition module 101 can be a parameter reflecting the environment state. Specifically, the environment state can be determined by the climate state of a certain area, for example, light intensity, temperature and humidity, etc. The environment parameter in the present scheme can include at least one of temperature parameter, humidity parameter, wind power parameter, light parameter and corrosion parameter. Among them, the temperature parameter can be a parameter reflecting the temperature. Specifically, the temperature parameter can be the average temperature in a predetermined time, and the average temperature can also be converted by a coefficient. For example, the average temperature in a week is 26 degrees Celsius, then the temperature parameter can be 26 degrees Celsius, or the preset coefficient is 0.2, then the temperature parameter is 0.32. The humidity parameter can be a parameter reflecting the humidity in the air, that is, the content of water vapor in a certain volume of air. Specifically, the humidity parameter can be the average humidity in a predetermined time, and the average humidity can also be converted by a coefficient. For example, the average temperature in a week is 70%, then the temperature parameter can be 0.7, or the preset coefficient is 0.1, then the temperature parameter is 0.01. The wind power parameter can be a wind size level parameter. Specifically, the wind power parameter can be the wind power level in a predetermined time, and the wind power level can also be converted by a coefficient. For example, the wind power level in a week is 3, then the wind power parameter can be 3, or the preset coefficient is 0.2, then the wind power parameter is 0.6. The light parameter can be a parameter reflecting the light intensity. Specifically, the light parameter can be the light flux of visible light received per unit area, and the light intensity can also be converted by a coefficient. For example, the light intensity in 800 square meters is 1800Lux, then the light intensity can be 1800Lux, or the preset coefficient is 0.01, then the wind power parameter is 1.8. The corrosion parameter can be a corrosion rate parameter reflecting the corrosion degree caused by the corrosion material. Specifically, the corrosion parameter can be the loss caused by corrosion, that is, the ratio of the corrosion layer thickness to the whole object, and the corrosion rate can also be converted by a coefficient. For example, the corrosion rate of metal steel in a certain area is 9.6mm / a, then the corrosion parameter can be 9.6mm / a, or the preset coefficient is 0.1, then the corrosion parameter is 0.96.

[0082] In the present scheme, the model calling module 102, the laying model can be a simulation model of laying cable. Specifically, the environment parameters of the currently required design laying cable scheme and the environment parameters of the historical laying cable scheme are compared, the model with high similarity can be directly called, and the two or more models can also be modified and fused to obtain the required laying model.

[0083] In the scheme, the cable determination module 103, according to the environmental parameters to determine the current environment suitable cable. Specifically, the cable can be selected to include: high temperature cable, moisture resistant cable, weather resistant cable, corrosion resistant cable and conventional cable. High temperature cable can be made of high temperature resistant material, the cable can still work in high temperature environment, suitable for temperature parameters high environment. Moisture resistant cable can be made of good waterproof material, the cable can still work in high humidity, and is not prone to damp, suitable for high humidity environment. Weather resistant cable can be made of higher strength material, the cable can still work in high wind conditions, and is not prone to damage, suitable for large wind environment. Corrosion resistant cable can be made of corrosion resistant material, the cable can still work in high corrosion parameters, and is not prone to corrosion, suitable for high corrosion environment. Ordinary cable can be the most commonly used and has no any characteristics of the cable, suitable for normal environment. By comparing the environmental parameters in the current environment with the normal environment parameters, to select the appropriate cable.

[0084] On the basis of the above technical solutions, optionally, the device further comprises:

[0085] The model training module is configured to obtain parameter information of an environment at a laying site in a historical laying scheme, and obtain a finally selected laying scheme as a training sample of a model; and perform supervised training on a basic model by taking the laying scheme as a sample label to obtain a laying model.

[0086] Supervised training, also known as supervised learning, is a method of machine learning, which can learn or establish a pattern from training data, and predict new instances according to the pattern. The training data is composed of input objects and expected outputs. The output of the function can be a continuous value, or a predicted classification label.

[0087] In the scheme, the historical laying scheme can be a previously designed laying scheme, from which the environmental parameter information of the historical laying site is obtained, and compared with the environmental parameters required for the current design. The most similar parameters can be determined as the laying scheme. The laying scheme is taken as a training sample, and the parameter information in the laying scheme is taken as a sample label, and supervised training is performed thereon, so that the expected laying model is obtained. For example, the current environment is a high temperature environment, and the laying scheme with similar environmental parameters is found in the historical laying scheme. The scheme is taken as a basic model, the parameters of the current environment are input to find and learn, and finally the selected cable in different regions is output to become a complete laying model.

[0088] In the scheme, the historical laying scheme is input through the model training module and supervised training is performed thereon, so that the required laying model is output, and the design efficiency is further improved.

[0089] Embodiment Two

[0090] Figure 2 is a structural schematic diagram of the cable laying selection device based on environmental parameters provided by Embodiment Two of the present application. The present scheme makes a more optimal improvement on the above-mentioned embodiment, and the specific improvement is that the device further comprises an environmental parameter processing module, which is configured to transform the obtained environmental data according to a preset rule, and generate a parameter log according to the transformation result; wherein the parameter log includes one or more of high temperature, high humidity, high wind, strong light, and strong corrosion in the parameters. As shown in Figure 2 the following steps are specifically included:

[0091] The environmental parameter acquisition module 101 is configured to acquire parameter information in the environment; wherein the parameter information includes at least one of temperature parameters, humidity parameters, wind power parameters, light parameters, and corrosion parameters;

[0092] The model calling module 102 is configured to call a laying model of a cable laying scheme obtained based on existing environmental parameters in advance;

[0093] The cable determination module 103 is configured to determine a cable suitable for selection in the current environment based on the laying model, wherein the cable to be selected includes one of a high-temperature-resistant cable, a moisture-resistant cable, a weather-resistant cable, a corrosion-resistant cable, and a conventional cable.

[0094] The environmental parameter processing module 104 is configured to transform the obtained environmental data according to a preset rule, and generate a parameter log according to the transformation result;

[0095] Wherein the parameter log includes one or more of high temperature, high humidity, high wind, strong light, and strong corrosion in the parameters.

[0096] In the scheme, the preset rule can be a rule of converting the environmental data into corresponding parameters. Specifically, the preset rule can be a determination threshold or a segmented function, which has different output parameters in different ranges. The output parameters include one or more of medium-high temperature, high humidity, high wind, strong light, and strong corrosion. For example, the preset rule of the temperature parameter can be medium temperature above 30°, high temperature above 50°, and normal temperature below 30°, and no output. The preset rule of the humidity parameter can be high humidity above 50%, and normal humidity below 50% without output. High wind can be a wind level above 6, and wind levels below 6 are not output. Strong light can be light intensity above 2200 Lux, and less than 2200 Lux is not output. Strong corrosion can be a corrosion rate greater than 9 mm / a, and less than 9 mm / a is not output. The preset rule here is only an example, and the specific preset rule is designed according to actual needs, which is not limited here.

[0097] In the scheme, the above embodiment is improved. The specific improvement is that the device further includes an environmental parameter processing module for converting the obtained environmental data according to a preset rule and generating a parameter log according to the conversion result; wherein the parameter log includes one or more of the parameters of medium-high temperature, high humidity, high wind, strong light, and strong corrosion. By processing the environmental parameters according to the preset rule, the parameters to be considered are automatically output, reducing the design threshold and improving the efficiency of cable laying design.

[0098] Embodiment three

[0099] Figure 3is a structural schematic diagram of the laying cable selection device based on environmental parameters provided in Embodiment Three of the present application. The present solution makes a more optimal improvement on the above-mentioned embodiments, and the specific improvement is that the environmental parameter processing module is specifically used for: taking one of day, week, month or quarter as a statistical period for the obtained temperature parameter, determining the occurrence number, occurrence duration or occurrence frequency of temperature being higher than a preset temperature in the statistical period to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained humidity parameter, determining the occurrence number, occurrence duration or occurrence frequency of humidity being higher than a preset humidity in the statistical period to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained wind power parameter, determining the occurrence number, occurrence duration or occurrence frequency of wind power being higher than a preset wind power in the statistical period to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained illumination parameter, determining the occurrence number, occurrence duration or occurrence frequency of illumination intensity being higher than a preset illumination intensity in the statistical period to obtain a conversion result; and taking one of day, week, month or quarter as a statistical period for the obtained corrosion parameter, determining the occurrence number, occurrence duration or occurrence frequency of corrosion concentration being higher than a preset corrosion concentration in the statistical period to obtain a conversion result. As shown in Figure 3 , specifically includes the following:

[0100] The environmental parameter acquisition module 101 is used for acquiring parameter information in the environment, wherein the parameter information includes at least one of a temperature parameter, a humidity parameter, a wind power parameter, an illumination parameter and a corrosion parameter;

[0101] The model calling module 102 is used for calling a laying model of a cable laying scheme obtained based on existing environmental parameters in advance;

[0102] The cable determination module 103 is used for determining a cable suitable for selection in the current environment based on the laying model, wherein the cable to be selected includes one of a high-temperature-resistant cable, a moisture-resistant cable, a weather-resistant cable, a corrosion-resistant cable and a conventional cable.

[0103] The environmental parameter processing module 104 is used for converting the obtained environmental data according to a preset rule and generating a parameter log according to the conversion result;

[0104] The parameter log includes one or more of high temperature, high humidity, high wind power, strong illumination and strong corrosion in the parameter.

[0105] The environmental parameter processing module is specifically used for:

[0106] The acquired temperature parameter is taken as one of day, week, month or quarter as a statistical period, and the occurrence number, occurrence duration or occurrence frequency of the temperature higher than the preset temperature in the statistical period is determined to obtain the conversion result;

[0107] The acquired humidity parameter is taken as one of day, week, month or quarter as a statistical period, and the occurrence number, occurrence duration or occurrence frequency of the humidity higher than the preset humidity in the statistical period is determined to obtain the conversion result;

[0108] The acquired wind force parameter is taken as one of day, week, month or quarter as a statistical period, and the occurrence number, occurrence duration or occurrence frequency of the wind force higher than the preset wind force in the statistical period is determined to obtain the conversion result;

[0109] The acquired light parameter is taken as one of day, week, month or quarter as a statistical period, and the occurrence number, occurrence duration or occurrence frequency of the light intensity higher than the preset light intensity in the statistical period is determined to obtain the conversion result;

[0110] The acquired corrosion parameter is taken as one of day, week, month or quarter as a statistical period, and the occurrence number, occurrence duration or occurrence frequency of the corrosion concentration higher than the preset corrosion concentration in the statistical period is determined to obtain the conversion result.

[0111] In the scheme, each type of parameter is counted in the statistical period, and the occurrence parameter of each type of parameter is determined to obtain the conversion result. The occurrence parameter can include the occurrence number, occurrence duration or occurrence frequency of each type of parameter higher than the preset parameter. Specifically, one of day, week, month or quarter can be used as a statistical period. In this statistical period, each type of environmental parameter is acquired in real time. The acquired parameter is compared with the preset threshold value, and if it exceeds the threshold value, the occurrence number, occurrence duration or occurrence frequency is recorded. Then, according to the preset rule, it is judged whether the recorded data in the statistical period exceeds the range, and if it exceeds the range, the parameter log of the corresponding type is output. For example, the acquired temperature parameter in a certain environment is 50 degrees, which exceeds the preset threshold value. The duration of this temperature is counted, and the occurrence number is increased by one after it decreases to the preset threshold value. At the end of the quarter, the occurrence frequency is calculated, i.e. the occurrence number in the quarter days. If the quarter is used as the period for statistics, the occurrence number of the temperature parameter of the environment is less than 30 times, i.e. normal. The duration is less than 40 hours, which is normal. The frequency is less than 0.5, which is normal. If one of the above exceeds the threshold value, the preset rule will output the parameter log as medium-high temperature.

[0112] In the scheme, the environmental parameter processing module is further described. In a preset statistical period, the parameters higher than the parameters of each type are counted, and the occurrence number, occurrence time or occurrence frequency of the type parameter high event is recorded, instead of only judging the average value. The environmental parameter state can be better judged, and the design of the laid cable is more rationalized.

[0113] Embodiment Four

[0114] Figure 4 is a structural schematic diagram of the laid cable selection device based on environmental parameters provided by the fourth embodiment of the present application. The present scheme makes more optimal improvements to the above-mentioned embodiments, and the specific improvements are as follows: the environmental parameter processing module is specifically used for: taking one of day, week, month or quarter as a statistical period for the obtained temperature parameter, determining whether the temperature change amplitude in the statistical period is higher than a preset temperature change amplitude to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained humidity parameter, determining whether the humidity change amplitude in the statistical period is higher than a preset humidity change amplitude to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained wind power parameter, determining whether the wind power change amplitude in the statistical period is higher than a preset wind power change amplitude to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained illumination parameter, determining whether the illumination intensity change amplitude in the statistical period is higher than a preset illumination intensity change amplitude to obtain a conversion result; and taking one of day, week, month or quarter as a statistical period for the obtained corrosion parameter, determining whether the corrosion concentration change amplitude in the statistical period is higher than a preset corrosion concentration change amplitude to obtain a conversion result. As shown in Figure 4 , specifically includes the following:

[0115] The environmental parameter acquisition module 101 is used for acquiring parameter information in the environment; wherein the parameter information includes at least one of a temperature parameter, a humidity parameter, a wind power parameter, an illumination parameter and a corrosion parameter;

[0116] The model calling module 102 is used for calling a laying model of a cable laying scheme based on existing environmental parameters in advance;

[0117] The cable determination module 103 is used for determining a cable suitable for selection in the current environment based on the laying model, wherein the cable to be selected includes one of a high-temperature-resistant cable, a moisture-resistant cable, a weather-resistant cable, a corrosion-resistant cable and a conventional cable.

[0118] The environmental parameter processing module 104 is used for converting the obtained environmental data according to a preset rule, and generating a parameter log according to the conversion result;

[0119] The parameter log includes one or more of high temperature, high humidity, high wind, strong light, and strong corrosion.

[0120] The environmental parameter processing module is specifically configured to:

[0121] The temperature parameter is obtained, one of day, week, month, or quarter is taken as a statistical period, and it is determined whether the temperature change amplitude in the statistical period is higher than a preset temperature change amplitude to obtain a conversion result.

[0122] The humidity parameter is obtained, one of day, week, month, or quarter is taken as a statistical period, and it is determined whether the humidity change amplitude in the statistical period is higher than a preset humidity change amplitude to obtain a conversion result.

[0123] The wind parameter is obtained, one of day, week, month, or quarter is taken as a statistical period, and it is determined whether the wind change amplitude in the statistical period is higher than a preset wind change amplitude to obtain a conversion result.

[0124] The light parameter is obtained, one of day, week, month, or quarter is taken as a statistical period, and it is determined whether the light intensity change amplitude in the statistical period is higher than a preset light intensity change amplitude to obtain a conversion result.

[0125] The corrosion parameter is obtained, one of day, week, month, or quarter is taken as a statistical period, and it is determined whether the corrosion concentration change amplitude in the statistical period is higher than a preset corrosion concentration change amplitude to obtain a conversion result.

[0126] In the scheme, the change amplitudes of various types of parameters are determined in the statistical period to obtain the conversion result. The change amplitude can be the change amplitude of the parameter in a certain period of time. Specifically, one of day, week, month, or quarter can be taken as a statistical period. In this statistical period, various types of environmental parameters are obtained in real time. The maximum value and the minimum value of the obtained parameters are recorded and subtracted. The result of the subtraction is the change amplitude. The change amplitude is input to a preset rule to determine whether the change amplitude in the statistical period exceeds the range. If it exceeds the range, the corresponding type of parameter log is output. For example, the highest temperature parameter obtained in a certain environment is 50 degrees, and the lowest temperature parameter is 20 degrees. The preset rule is 20, and it is determined that the preset threshold is exceeded. The preset rule outputs the parameter log as medium-high temperature.

[0127] In the scheme, the environmental parameter processing module is further described. The extreme value of the current environment is obtained in a preset statistical period and the difference is made, and then it is judged whether the parameter log needs to be output according to a preset rule. The advantage of this setting is that the environmental parameter state can be better judged, the amount of data that needs to be recorded is less, the storage cost is saved, and the design of the laid cable is more rationalized.

[0128] Embodiment five

[0129] Figure 5 is a structural schematic diagram of the laying cable selection device based on environmental parameters provided by the embodiment five of the present application. The present scheme makes a more optimal improvement on the above-mentioned embodiments, and the specific improvement is that the environmental parameter processing module is specifically used for: taking one of day, week, month or quarter as a statistical period for the obtained temperature parameter, determining whether the temperature change rate in the statistical period is higher than a preset temperature change rate to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained humidity parameter, determining whether the humidity change rate in the statistical period is higher than a preset humidity change rate to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained wind power parameter, determining whether the wind power change rate in the statistical period is higher than a preset wind power change rate to obtain a conversion result; taking one of day, week, month or quarter as a statistical period for the obtained light parameter, determining whether the light intensity change rate in the statistical period is higher than a preset light intensity change rate to obtain a conversion result; and taking one of day, week, month or quarter as a statistical period for the obtained corrosion parameter, determining whether the corrosion concentration change rate in the statistical period is higher than a preset corrosion concentration change rate to obtain a conversion result. As shown in Figure 5 the specific steps include the following:

[0130] The environmental parameter acquisition module 101 is used for acquiring parameter information in the environment; wherein the parameter information includes at least one of temperature parameter, humidity parameter, wind power parameter, light parameter and corrosion parameter;

[0131] The model calling module 102 is used for calling the laying model of the cable laying scheme based on the existing environmental parameters in advance;

[0132] The cable determination module 103 is used for determining the cable suitable for selection in the current environment based on the laying model, wherein the cable to be selected includes one of high-temperature-resistant cable, moisture-resistant cable, weather-resistant cable, corrosion-resistant cable and conventional cable.

[0133] The environmental parameter processing module 104 is used for converting the obtained environmental data according to a preset rule, and generating a parameter log according to the conversion result;

[0134] The parameter log includes one or more of high temperature, high humidity, high wind, strong light, and strong corrosion.

[0135] The environment parameter processing module is specifically configured to:

[0136] The temperature parameter is obtained, and one of day, week, month, or quarter is used as a statistical period to determine whether a temperature change rate in the statistical period is higher than a preset temperature change rate to obtain a conversion result.

[0137] The humidity parameter is obtained, and one of day, week, month, or quarter is used as a statistical period to determine whether a humidity change rate in the statistical period is higher than a preset humidity change rate to obtain a conversion result.

[0138] The wind parameter is obtained, and one of day, week, month, or quarter is used as a statistical period to determine whether a wind change rate in the statistical period is higher than a preset wind change rate to obtain a conversion result.

[0139] The light parameter is obtained, and one of day, week, month, or quarter is used as a statistical period to determine whether a light intensity change rate in the statistical period is higher than a preset light intensity change rate to obtain a conversion result.

[0140] The corrosion parameter is obtained, and one of day, week, month, or quarter is used as a statistical period to determine whether a corrosion concentration change rate in the statistical period is higher than a preset corrosion concentration change rate to obtain a conversion result.

[0141] In the scheme, each type of parameter is counted in a statistical period, and a change rate of each type of parameter is determined to obtain a conversion result. The change rate can be a ratio of an increase or decrease of each type of parameter to the period in a preset time. Specifically, one of day, week, month, or quarter can be used as a statistical period. In this statistical period, each type of environment parameter is obtained in real time. The obtained parameters are recorded, and two parameters at two time points are selected to be subtracted, and then divided by the difference between the two times. According to a preset rule, it is determined whether the change rate in the statistical period exceeds the range, and if it exceeds the range, the corresponding type of parameter log is output. For example, in a certain environment, the temperature parameters at two time points are selected, the time points are 13:00 to 14:00, and the temperature parameters are 25 degrees to 30 degrees. The temperature conversion rate is (30-10) / 60=67%. If a quarter is used as a period for statistics, the temperature conversion rate of this environment is less than 20%, which is normal. Therefore, the preset rule outputs the parameter log as medium-high temperature.

[0142] In the scheme, the environmental parameter processing module is further described. The parameters at two time points are selected and subtracted in a preset statistical period, and it is judged whether the parameter log needs to be output according to a preset rule. The advantage of this setting is that the environmental parameter state can be better judged, the amount of data that needs to be recorded is less, the storage cost is saved, and the design of the laid cable is more rationalized.

[0143] The environmental parameter-based laid cable selection device in the embodiments of the present application can be a device, a component in a terminal, an integrated circuit, or a chip. The device can be a mobile electronic device or a non-mobile electronic device. Illustratively, the mobile electronic device can be a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine, or a self-service machine, etc., and the embodiments of the present application are not limited specifically.

[0144] The environmental parameter-based laid cable selection device in the embodiments of the present application can be a device with an operating system. The operating system can be an Android operating system, an ios operating system, or other possible operating systems, and the embodiments of the present application are not limited specifically.

[0145] Embodiment Six

[0146] Figure 6 is a flowchart of the environmental parameter-based laid cable selection device provided in Embodiment Six of the present application. As shown in Figure 6 , the specific steps include the following steps:

[0147] S601, obtaining parameter information in the environment through an environmental parameter acquisition module; wherein the parameter information includes at least one of a temperature parameter, a humidity parameter, a wind power parameter, an illumination parameter, and a corrosive material parameter.

[0148] S602, calling a laying model of a cable laying scheme obtained in advance based on existing environmental parameters through a model calling module.

[0149] S603, determining, by the cable determining module, a cable suitable for selection in the current environment based on the laying model, wherein the cable to be selected comprises one of a high-temperature-resistant cable, a moisture-resistant cable, a weather-resistant cable, a corrosion-resistant cable, and a conventional cable.

[0150] On the basis of the above technical solutions, optionally, before the laying model of the cable laying scheme obtained in advance based on the existing environment parameters is called by the model calling module, the method further comprises:

[0151] The parameter information in the environment of the laying site in the historical laying scheme is obtained by the model training module, and the finally selected laying scheme is obtained as a training sample of the model; the laying scheme is used as a sample label to supervise the training of the basic model, and the laying model is obtained.

[0152] On the basis of the above technical solutions, optionally, after the parameter information in the environment is obtained by the environment parameter obtaining module, the method further comprises:

[0153] The obtained environment data is converted according to a preset rule by the environment parameter processing module, and a parameter log is generated according to the conversion result;

[0154] The parameter log includes one or more of high temperature, high humidity, high wind, strong light, and strong corrosion in the parameter.

[0155] On the basis of the above technical solutions, optionally, the obtained environment data is converted according to a preset rule by the environment parameter processing module, and a parameter log is generated according to the conversion result, comprising:

[0156] The temperature parameter obtained is taken as one of day, week, month, or quarter as a statistical period to determine the occurrence number, occurrence duration, or occurrence frequency of the temperature higher than the preset temperature in the statistical period to obtain the conversion result;

[0157] The humidity parameter obtained is taken as one of day, week, month, or quarter as a statistical period to determine the occurrence number, occurrence duration, or occurrence frequency of the humidity higher than the preset humidity in the statistical period to obtain the conversion result;

[0158] The wind force parameter obtained is taken as one of day, week, month, or quarter as a statistical period to determine the occurrence number, occurrence duration, or occurrence frequency of the wind force higher than the preset wind force in the statistical period to obtain the conversion result;

[0159] The light parameter obtained is taken as one of day, week, month, or quarter as a statistical period to determine the occurrence number, occurrence duration, or occurrence frequency of the light intensity higher than the preset light intensity in the statistical period to obtain the conversion result.

[0160] The acquired corrosion parameter is converted according to one of days, weeks, months or quarters as a statistical period, and the occurrence number, occurrence duration or occurrence frequency of the corrosion concentration being higher than the preset corrosion concentration in the statistical period is determined to obtain a conversion result.

[0161] On the basis of the above technical solution, the acquired environmental data is converted according to a preset rule by the environmental parameter processing module, and a parameter log is generated according to the conversion result, including:

[0162] The acquired temperature parameter is converted according to one of days, weeks, months or quarters as a statistical period, and whether the temperature change amplitude in the statistical period is higher than a preset temperature change amplitude is determined to obtain a conversion result.

[0163] The acquired humidity parameter is converted according to one of days, weeks, months or quarters as a statistical period, and whether the humidity change amplitude in the statistical period is higher than a preset humidity change amplitude is determined to obtain a conversion result.

[0164] The acquired wind power parameter is converted according to one of days, weeks, months or quarters as a statistical period, and whether the wind power change amplitude in the statistical period is higher than a preset wind power change amplitude is determined to obtain a conversion result.

[0165] The acquired light parameter is converted according to one of days, weeks, months or quarters as a statistical period, and whether the light intensity change amplitude in the statistical period is higher than a preset light intensity change amplitude is determined to obtain a conversion result.

[0166] The acquired corrosion parameter is converted according to one of days, weeks, months or quarters as a statistical period, and whether the corrosion concentration change amplitude in the statistical period is higher than a preset corrosion concentration change amplitude is determined to obtain a conversion result.

[0167] On the basis of the above technical solution, the acquired environmental data is converted according to a preset rule by the environmental parameter processing module, and a parameter log is generated according to the conversion result, including:

[0168] The acquired temperature parameter is converted according to one of days, weeks, months or quarters as a statistical period, and whether the temperature change rate in the statistical period is higher than a preset temperature change rate is determined to obtain a conversion result.

[0169] The acquired humidity parameter is converted according to one of days, weeks, months or quarters as a statistical period, and whether the humidity change rate in the statistical period is higher than a preset humidity change rate is determined to obtain a conversion result.

[0170] The obtained wind parameters are used as a statistical period, which can be one of a day, a week, a month, or a quarter, to determine whether the rate of change of wind force within the statistical period is higher than the preset rate of change of wind force, so as to obtain the conversion result.

[0171] For the obtained illumination parameters, a statistical period of one of days, weeks, months or quarters is used to determine whether the rate of change of illumination intensity within the statistical period is higher than the preset rate of change of illumination intensity, so as to obtain the conversion result;

[0172] The obtained corrosion parameters are used as a statistical period of one of days, weeks, months or quarters to determine whether the corrosion concentration change rate is higher than the preset corrosion concentration change rate within the statistical period, so as to obtain the conversion result.

[0173] In this embodiment, an environmental parameter acquisition module acquires environmental parameter information, including at least one of temperature, humidity, wind speed, light intensity, and corrosive substances. A model invocation module invokes a pre-prepared cable laying model based on existing environmental parameters. A cable selection module, based on the laying model, determines suitable cables for the current environment. The cables to be selected include high-temperature resistant cables, moisture-resistant cables, weather-resistant cables, corrosion-resistant cables, and conventional cables. This environmental parameter-based cable selection device solves the problem of limited personnel in cable laying design. By supervising and training historical laying schemes to obtain a laying model, the required laying scheme can be obtained simply by inputting environmental parameters, lowering the barrier to cable laying design and improving design efficiency.

[0174] Example 7

[0175] like Figure 7 As shown, this application embodiment also provides an electronic device 700, including a processor 701, a memory 702, and a program or instructions stored in the memory 702 and executable on the processor 701. When the program or instructions are executed by the processor 701, they implement the various processes of the above-described embodiment of the cable laying selection device based on environmental parameters and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0176] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0177] Example 8

[0178] The embodiment of the present application further provides a readable storage medium, wherein the readable storage medium stores programs or instructions, and the programs or instructions are executed by a processor to realize the processes of the cable laying selection device based on environment parameters and achieve the same technical effects. To avoid repetition, details are not described herein.

[0179] The processor is the processor in the electronic device in the above embodiments. The readable storage medium includes a computer readable storage medium, such as a computer readable memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, etc.

[0180] Embodiment Nine

[0181] The embodiment of the present application further provides a chip, which includes a processor and a communication interface. The communication interface is coupled with the processor. The processor is used to run programs or instructions to realize the processes of the cable laying selection device based on environment parameters and achieve the same technical effects. To avoid repetition, details are not described herein.

[0182] It should be understood that the chip mentioned in the embodiment of the present application can also be referred to as a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0183] It should be noted that, in this document, the term "comprising" or "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the method and device in the present application is not limited to the order of performing the functions as shown or discussed, but can also include performing the functions in a substantially simultaneous manner or in a reverse order, for example, the described method can be performed in an order different from that described, and various steps can also be added, omitted or combined. In addition, the features described with reference to some examples can be combined in other examples.

[0184] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned example method can be realized by means of software and the necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a computer software product in essence or in the form of a computer software product that contributes to the prior art. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disc, optical disc), and includes a plurality of instructions for making a terminal (which can be a mobile phone, computer, server, or network device, etc.) execute the method described in each embodiment of the present application.

[0185] The embodiments of the present application are described above in combination with the drawings, but the present application is not limited to the above-mentioned specific embodiments, and the above-mentioned specific embodiments are only illustrative and not restrictive. Those skilled in the art can make many forms without departing from the scope of the present application and the protection scope of the claims under the inspiration of the present application, which all belong to the protection scope of the present application.

[0186] The above are only the preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein. Various obvious changes, readjustments and substitutions made by those skilled in the art without departing from the scope of the present application and the protection scope of the claims also belong to the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the present application. The scope of the present application is determined by the scope of the claims.

Claims

1. A cable selection device based on environmental parameters, characterized in that, The device includes: An environmental parameter acquisition module is used to acquire parameter information in the environment; wherein, the parameter information includes at least one of temperature parameter, humidity parameter, wind force parameter, light intensity parameter, and corrosive substance parameter; An environmental parameter processing module is used to transform the acquired environmental parameters according to preset rules and generate a parameter log based on the transformation results; wherein, the parameter log includes one or more of the parameters such as high temperature, high humidity, high wind force, strong light, and strong corrosivity; The environmental parameter processing module is specifically used for: For the acquired temperature parameters, use one of the following as the statistical period: day, week, month, or quarter. Determine the number of times, duration, or frequency of occurrences where the temperature is higher than the preset temperature within the statistical period to obtain the conversion result. The obtained humidity parameters are used as a statistical period, with one of the following: day, week, month, or quarter, to determine the number of times, duration, or frequency of occurrences where the humidity is higher than the preset humidity within the statistical period, so as to obtain the conversion result. The obtained wind parameters are used as a statistical period, which can be one of a day, a week, a month, or a quarter, to determine the number of times, the duration of occurrence, or the frequency of occurrence of wind force exceeding the preset wind force within the statistical period, so as to obtain the conversion result. The acquired illumination parameters are used as a statistical period, with one of the following: day, week, month, or quarter, to determine the number of times, duration, or frequency of occurrences where the illumination intensity is higher than the preset illumination intensity within the statistical period, so as to obtain the conversion result. For the obtained corrosion parameters, a statistical period of one of days, weeks, months or quarters is used to determine the number of times, duration or frequency of occurrences where the corrosion concentration is higher than the preset corrosion concentration within the statistical period, so as to obtain the conversion result; The model training module is used to obtain parameter information of the environment of the laying location in the historical laying scheme, and to obtain the final selected laying scheme as the training sample of the model; using the laying scheme as the sample label, the basic model is trained in a supervised manner to obtain the laying model. The model calling module is used to call the laying model of the cable laying scheme obtained in advance based on existing environmental parameters; The cable determination module is used to determine, based on the laying model, suitable cables for selection in the current environment, wherein the cables to be selected include one of the following: high-temperature resistant cables, moisture-resistant cables, weather-resistant cables, corrosion-resistant cables, and conventional cables.

2. The cable selection device based on environmental parameters according to claim 1, characterized in that, The environmental parameter processing module is specifically used for: For the obtained temperature parameters, a statistical period of one of days, weeks, months or quarters is used to determine whether the temperature change range within the statistical period is higher than the preset temperature change range, so as to obtain the conversion result; For the obtained humidity parameters, a statistical period of one of days, weeks, months or quarters is used to determine whether the humidity change range within the statistical period is higher than the preset humidity change range, so as to obtain the conversion result; The obtained wind parameters are used as a statistical period, which can be one of a day, week, month or quarter, to determine whether the wind force change is higher than the preset wind force change within the statistical period, so as to obtain the conversion result. For the obtained illumination parameters, a statistical period of one of days, weeks, months or quarters is used to determine whether the change in illumination intensity within the statistical period is higher than the preset change in illumination intensity, so as to obtain the conversion result; The obtained corrosion parameters are used as a statistical period, which can be one of a day, week, month or quarter, to determine whether the change in corrosion concentration within the statistical period is higher than the preset change in corrosion concentration, so as to obtain the conversion result.

3. The cable selection device based on environmental parameters according to claim 1, characterized in that, The environmental parameter processing module is specifically used for: For the acquired temperature parameters, a statistical period of one of days, weeks, months, or quarters is used to determine whether the rate of temperature change within the statistical period is higher than the preset rate of temperature change in order to obtain the conversion result. For the obtained humidity parameters, a statistical period of one of days, weeks, months or quarters is used to determine whether the humidity change rate is higher than the preset humidity change rate within the statistical period in order to obtain the conversion result; The obtained wind parameters are used as a statistical period, which can be one of a day, a week, a month, or a quarter, to determine whether the rate of change of wind force within the statistical period is higher than the preset rate of change of wind force, so as to obtain the conversion result. For the obtained illumination parameters, a statistical period of one of days, weeks, months or quarters is used to determine whether the rate of change of illumination intensity within the statistical period is higher than the preset rate of change of illumination intensity, so as to obtain the conversion result; The obtained corrosion parameters are used as a statistical period of one of days, weeks, months or quarters to determine whether the corrosion concentration change rate is higher than the preset corrosion concentration change rate within the statistical period, so as to obtain the conversion result.

4. A method for selecting laying cables based on environmental parameters, characterized in that, The method includes: The environmental parameter acquisition module acquires parameter information in the environment; wherein, the parameter information includes at least one of temperature parameter, humidity parameter, wind force parameter, light intensity parameter, and corrosive substance parameter; The environmental parameter processing module transforms the acquired environmental parameters according to preset rules and generates a parameter log based on the transformation results; wherein, the parameter log includes one or more of the parameters such as high temperature, high humidity, high wind force, strong light, and strong corrosivity; The step of converting the acquired environmental parameters according to preset rules through the environmental parameter processing module includes: taking one of the days, weeks, months or quarters as the statistical period for the acquired temperature parameters, determining the number of times, duration or frequency of occurrence of temperatures higher than the preset temperature within the statistical period, so as to obtain the conversion result; The obtained humidity parameters are used as a statistical period, with one of the following: day, week, month, or quarter, to determine the number of times, duration, or frequency of occurrences where the humidity is higher than the preset humidity within the statistical period, so as to obtain the conversion result. The obtained wind parameters are used as a statistical period, which can be one of a day, a week, a month, or a quarter, to determine the number of times, the duration of occurrence, or the frequency of occurrence of wind force exceeding the preset wind force within the statistical period, so as to obtain the conversion result. The acquired illumination parameters are used as a statistical period, with one of the following: day, week, month, or quarter, to determine the number of times, duration, or frequency of occurrences where the illumination intensity is higher than the preset illumination intensity within the statistical period, so as to obtain the conversion result. For the obtained corrosion parameters, a statistical period of one of days, weeks, months or quarters is used to determine the number of times, duration or frequency of occurrences where the corrosion concentration is higher than the preset corrosion concentration within the statistical period, so as to obtain the conversion result; The model training module obtains the environmental parameter information of the laying location in the historical laying scheme and obtains the final selected laying scheme as the training sample of the model; the laying scheme is used as the sample label to perform supervised training on the basic model to obtain the laying model. The model invocation module invokes the cable laying model that was previously obtained based on existing environmental parameters. Based on the laying model, the cable determination module determines the appropriate cable to be selected in the current environment. The cable to be selected includes one of the following: high temperature resistant cable, moisture resistant cable, weathering resistant cable, corrosion resistant cable, and conventional cable.

5. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the cable selection method based on environmental parameters as described in claim 4.

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