Environment self-adaption and energy efficient management intelligent edge gateway and method

Abstract

The invention discloses an environment self-adaption and energy efficient management intelligent edge gateway and method, and relates to the technical field of intelligent edge gateways. The method comprises the following steps: an environment adjustment module acquires environment data through a sensor, and selects a gateway working mode; the gateway energy module outputs energy data according to the environment data and after controlling energy collection; the running time module obtains a gateway moving path, predicts the setting condition of a gateway working mode and records the setting condition as a working mode table; the primary energy module preliminarily divides energy of different working modes according to the energy data and the working mode table and records the energy as primary energy distribution; the intermediate energy module obtains a waiting demand of a user for the gateway service, divides the energy of the gateway service according to the waiting demand, and records the energy as intermediate energy distribution; and the gateway processing module calls the gateway to execute corresponding work. According to the invention, the intelligence of the intelligent edge gateway with environment self-adaption and efficient energy management is improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent edge gateways, and more particularly to an intelligent edge gateway and method for environmental adaptation and efficient energy management. Background Art

[0002] An intelligent edge gateway is a computing device located at the edge of the network. It integrates computing, storage, networking, and multiple sensor interfaces, and can process, analyze, and make decisions on data locally in real time. This gateway extends data processing capabilities from centralized data centers to the edge of the network, thereby reducing data transmission delays, improving network performance, and effectively reducing the computing burden on cloud servers. In the current intelligent edge gateway technology, adaptive adjustment focuses on adjustments based on network conditions, but in fact the environment will also have an impact on the intelligent edge gateway. Secondly, the current intelligent edge gateway still relies on the operating data and energy storage data of the device for management. This management method will seriously affect the user experience and cannot accurately meet the user's energy usage needs. Therefore, the current intelligent edge gateway can be further improved. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent edge gateway and method for environmental adaptation and energy efficient management to solve the problems raised in the above background technology.

[0004] In the first aspect, the present application provides an intelligent edge gateway with environmental adaptation and energy efficient management, which adopts the following technical solutions:

[0005] The environment adjustment module collects environmental data through sensors and selects the gateway working mode according to the environmental data;

[0006] The gateway energy module is connected to the environment adjustment module signal, and is used to receive environmental data and output energy data after controlling energy collection;

[0007] The running time module is connected to the environment adjustment module signal, and is used to receive the gateway working mode, obtain the gateway moving path, and predict the setting of the gateway working mode according to the gateway moving path and record it as a working mode table;

[0008] The primary energy module is signal-connected to the operating time module and the gateway energy module, and is used to receive the working mode table and energy data, and preliminarily divide the energy of different working modes according to the energy data and the working mode table and record it as the primary energy distribution;

[0009] The intermediate energy module is connected to the primary energy module signal, and is used to receive the primary energy distribution, obtain the user's waiting demand for the gateway service, divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution;

[0010] The gateway processing module is signal-connected to the environment adjustment module and the intermediate energy module, and is used to receive the gateway working mode and intermediate energy distribution and mobilize the gateway to perform corresponding tasks.

[0011] Preferably, the environment adjustment module collects environmental data through sensors, and the steps of selecting the gateway working mode according to the environmental data are specifically:

[0012] Acquire environmental data through sensors, wherein the environmental data includes natural environment data and working environment data;

[0013] The natural environment data includes ambient temperature, ambient humidity and ambient light intensity;

[0014] Obtaining standard environment data for gateway operation, wherein the standard environment data includes standard temperature, standard humidity and standard light intensity;

[0015] Calculate the difference between natural environment data and standard environment data to obtain temperature difference, humidity difference and intensity difference;

[0016] Set the difference range to determine whether the temperature difference, humidity difference and intensity difference are within the corresponding difference range. If not, output the corresponding natural working mode.

[0017] The corresponding usage working mode is obtained according to the working environment data, and the gateway working mode is obtained by combining the natural working mode and the usage working mode.

[0018] Preferably, the step of obtaining the corresponding use working mode according to the working environment data, and combining the natural working mode and the use working mode to obtain the gateway working mode is specifically:

[0019] The working environment data includes electromagnetic wave intensity CD and the distance CL between the gateway and the device;

[0020] Get the number of tasks CS and the size of tasks CX processed by the gateway processor;

[0021] Influencing the correlation function based on data The data influence CY is calculated, where , , , is the scale factor and is greater than 0;

[0022] Determine whether the working environment of the gateway affects data processing according to the data impact degree. If it affects data processing, find the preset working environment-working mode table to obtain the corresponding working mode;

[0023] Gateway parameter settings of the natural working mode and the used working mode are extracted, and the gateway working mode is formed according to the gateway parameter settings.

[0024] Preferably, the gateway energy module is connected to the environment adjustment module by signal, and is used to receive environmental data and control the steps of outputting energy data after energy collection, specifically:

[0025] Get the real-time remaining power of the gateway, set the warning power value, and determine whether the real-time remaining power is not greater than the warning power value;

[0026] If the real-time remaining power is not greater than the warning power value, it is determined whether the ambient temperature meets the thermal charging requirements. If so, thermal charging is started.

[0027] If the ambient temperature does not meet the thermal charging requirements, it is determined whether the ambient light intensity meets the light charging requirements. If so, light charging is enabled.

[0028] If the light intensity does not meet the light energy charging requirements, the vibration frequency of the gateway is obtained to start vibration charging;

[0029] If the real-time remaining power does not reach the warning power value, the remaining working time of the gateway is obtained;

[0030] Obtain the average power consumption of the gateway, calculate the expected power consumption of the gateway based on the average power consumption and the remaining working time, and determine whether the real-time remaining power is greater than the expected power consumption;

[0031] If the real-time remaining power is not greater than the estimated power consumption, charging is started and energy data is output.

[0032] Preferably, the operation time module is connected to the environment adjustment module signal, and is used to receive the gateway working mode, obtain the gateway moving path, and predict the setting of the gateway working mode according to the gateway moving path and record it as the working mode table, specifically, the steps are:

[0033] Obtain the gateway's estimated gateway movement path, and extract the gateway's working position based on the gateway movement path;

[0034] Obtain location environment data of different gateway working locations respectively, and obtain corresponding gateway working modes according to the location environment data;

[0035] The estimated working time of different gateway working positions is obtained, and a working mode table is formed by corresponding them one by one with the gateway working modes.

[0036] Preferably, the primary energy module is signal-connected to the operating time module and the gateway energy module, and is used to receive the working mode table and energy data, and the steps of preliminarily dividing the energy of different working modes according to the energy data and the working mode table and recording them as primary energy distribution are specifically as follows:

[0037] Extract the charging mode from the energy data, obtain the estimated working time of the gateway working mode corresponding to the energy data, and calculate the charging power;

[0038] The real-time remaining power and the charging power are superimposed to calculate the estimated remaining power of the gateway;

[0039] Obtain the power requirements of all working modes in the working mode table, and add up the power requirements of all working modes to obtain the total power;

[0040] Determine whether the estimated remaining power is greater than the total power. If the remaining power is greater than the total power, distribute the power according to the power requirements of all working modes and output the primary energy distribution;

[0041] If the remaining power is not greater than the total power, the power demand of different gateway working positions is obtained, the power is allocated according to the power demand and the primary energy distribution is output.

[0042] Preferably, if the remaining power is not greater than the total power, the steps of obtaining the power requirements of different gateway working positions, allocating power according to the power requirements and outputting the primary energy distribution are specifically as follows:

[0043] Get the data importance SS of different gateway locations;

[0044] Obtaining a gateway working mode corresponding to the working position of the gateway and recording it as the position working mode, extracting an adjustment parameter of the position working mode and recording it as an adjustment parameter;

[0045] Obtain the influence of the adjustment parameters on data processing and record it as parameter influence , where i is the number of different adjustment parameters;

[0046] Get the gateway components corresponding to the adjustment parameters and the component importance of the gateway components , where i is the number of different adjustment parameters;

[0047] Correlation function based on power demand The power demand SD is calculated, where , is the scale factor and is greater than 0, and n is the maximum number of adjustment parameters;

[0048] The power demand ratio is formed according to the ratio of the power demand of different gateway working positions, and the power is allocated in combination with the expected working time to output the primary energy distribution.

[0049] Preferably, the intermediate energy module is connected to the primary energy module signal, and is used to receive the primary energy distribution, obtain the user's waiting demand for the gateway service, and divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution step, specifically:

[0050] According to the primary energy distribution, the power corresponding to the working mode is obtained and recorded as the working power;

[0051] Extract the data processing steps of the working mode and obtain the average processing time corresponding to the data processing steps;

[0052] The number of operations performed autonomously by users when the real-time processing time of the statistical data processing step exceeds the average processing time;

[0053] The weight ratio of the data processing steps is formed according to the number of operations, and the step power corresponding to different operation steps is obtained according to the working power and the weight ratio, and the intermediate energy distribution is output.

[0054] Preferably, the gateway processing module is signal-connected with the environment adjustment module and the intermediate energy module, and is used to receive the gateway working mode and the intermediate energy distribution and mobilize the gateway to perform the corresponding work, specifically:

[0055] Obtain the real-time positioning of the gateway, obtain the positioning environment data of the real-time positioning, and verify whether the positioning environment data is consistent with the corresponding location environment data. If not, feedback the information to the runtime module to reallocate energy;

[0056] If the positioning environment data is consistent with the corresponding location environment data, the working mode and intermediate energy distribution corresponding to the real-time positioning are found, and the gateway work is performed according to the working mode and intermediate energy distribution.

[0057] In the second aspect, the present application provides an intelligent edge method for environmental adaptation and energy efficient management, which adopts the following technical solutions:

[0058] An intelligent edge method for environmental adaptation and energy efficient management, which collects environmental data through sensors and selects the gateway working mode based on the environmental data;

[0059] Based on environmental data, control energy collection according to environmental data and output energy data;

[0060] Obtaining the gateway moving path, and predicting the setting of the gateway working mode according to the gateway moving path and recording it as a working mode table;

[0061] Based on the energy data and the working mode table, the energy of different working modes is preliminarily divided and recorded as the primary energy distribution;

[0062] Obtain the user's waiting demand for the gateway service, divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution;

[0063] According to the gateway working mode and intermediate energy distribution, the gateway is mobilized to perform corresponding tasks.

[0064] In summary, the present application includes at least one of the following beneficial technical effects:

[0065] 1. Select the appropriate working mode according to the environmental conditions to achieve environmental adaptive adjustment of the intelligent edge gateway. The working mode of the gateway at different locations is predicted through the mobile path of the gateway, so that the energy is initially divided and used according to the working mode and the remaining energy situation. Secondly, combined with the waiting demand of the user for the gateway service in the working mode, the energy distribution of different steps is further divided according to the waiting demand of the gateway service, so as to achieve efficient energy management of the intelligent edge gateway. The intelligence of the intelligent edge gateway with environmental adaptation and efficient energy management is improved.

[0066] 2. Environmentally friendly charging is achieved through thermal power generation, solar power generation, and vibration power generation, providing an independent power supply method for the gateway. At the same time, the need for charging is determined based on the remaining power and the expected working conditions of the gateway. The appropriate power supply method is selected based on the environmental conditions, reducing the manual operation of checking and replenishing power, and improving the convenience of the intelligent edge gateway with environmental adaptation and efficient energy management.

[0067] 3. According to the importance of the data in different working positions of the gateway, as well as the importance of the gateway components of the corresponding working mode and the influence of the parameters on data processing, the power usage of different working modes is preliminarily divided. Then, according to the user's waiting time for different processing steps of the gateway, the steps that the user pays more attention to are judged, thereby dividing the power distribution of different processing steps, thereby improving the accuracy of energy management of the intelligent edge gateway with environmental adaptation and energy-efficient management. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a module connection diagram of an embodiment of an intelligent edge gateway for environmental self-adaptation and energy efficient management of the present invention.

[0069] Figure 2 It is a schematic diagram of the specific steps of an embodiment of an intelligent edge method for environmental adaptation and energy efficient management of the present invention.

[0070] Description of reference numerals: 1. Environmental adjustment module. 2. Gateway energy module. 3. Runtime module. 4. Primary energy module. 5. Intermediate energy module. 6. Gateway processing module. DETAILED DESCRIPTION

[0071] Below is a combination of the embodiments and Figure 1-Figure 2 The present invention is further described in detail, but the embodiments of the present invention are not limited thereto.

[0072] The present invention discloses an intelligent edge gateway with environmental self-adaptation and energy efficient management, which specifically includes the following steps:

[0073] The environment adjustment module 1 obtains environment data through sensor collection and selects the gateway working mode according to the environment data.

[0074] The gateway energy module 2 is signal-connected to the environment adjustment module 1, and is used to receive environmental data and output energy data after controlling energy collection.

[0075] The running time module 3 is connected to the environment adjustment module 1 by signal, and is used to receive the gateway working mode, obtain the gateway moving path, and predict the setting of the gateway working mode according to the gateway moving path and record it as a working mode table.

[0076] The primary energy module 4 is signal-connected to the operating time module 3 and the gateway energy module 2, and is used to receive the working mode table and energy data, and preliminarily divide the energy of different working modes according to the energy data and the working mode table and record it as primary energy distribution.

[0077] The intermediate energy module 5 is signal-connected to the primary energy module 4, and is used to receive the primary energy distribution, obtain the user's waiting demand for the gateway service, divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution.

[0078] The gateway processing module 6 is signal-connected with the environment adjustment module 1 and the intermediate energy module 5, and is used to receive the gateway working mode and the intermediate energy distribution and mobilize the gateway to perform corresponding work.

[0079] In actual use, different working environments of the gateway have different impacts on the gateway. If the appropriate gateway working mode is not adopted, the damage to the gateway caused by the environment will be aggravated, resulting in inaccurate data processing, slow speed and other problems. By adapting to the environment and adjusting the working mode autonomously, the impact of the environment on the gateway can be reduced and the data processing effect can be improved. At the same time, the reasonable allocation of energy is also conducive to data processing and better completion of the gateway work. The allocation of energy not only needs to consider the working schedule of the gateway, but also the user experience, so as to improve the user experience without affecting the subsequent work of the gateway.

[0080] The environmental adjustment module 1 collects environmental data through sensors and selects the gateway working mode according to the environmental data. Specifically,

[0081] Environmental data is collected through sensors, and the environmental data includes natural environment data and working environment data.

[0082] Natural environment data includes ambient temperature, ambient humidity and ambient light intensity.

[0083] Obtain the standard environment data for the gateway operation, which includes standard temperature, standard humidity, and standard light intensity.

[0084] Calculate the difference between the natural environment data and the standard environment data to obtain the temperature difference, humidity difference and intensity difference.

[0085] Set the difference range to determine whether the temperature difference, humidity difference and intensity difference are within the corresponding difference range. If not, output the corresponding natural working mode.

[0086] The corresponding usage working mode is obtained according to the working environment data, and the gateway working mode is obtained by combining the natural working mode and the usage working mode.

[0087] In actual use, as an electronic device, the operation of the smart edge gateway will be affected by the natural environment. Natural environmental factors such as temperature, humidity, and light intensity may affect the hardware performance and stability of the gateway. For example, extreme temperature may cause electronic components to fail or degrade, high humidity may cause circuit short circuits, dust and pollutants may block heat dissipation holes or affect communication quality, and electromagnetic interference may interfere with the wireless communication signal of the gateway. When these natural environments exceed the range that the gateway can withstand, it is necessary to adjust the working mode of the gateway in time to reduce the environmental impact on the gateway. For example, when the temperature sensor detects that the ambient temperature is too high, the edge smart gateway will trigger the start of the cooling system, such as adjusting the fan speed, turning on the air conditioner or ventilation equipment, etc., to reduce the ambient temperature. When the humidity sensor detects that the ambient humidity is too high or too low, the edge smart gateway will control the working state of the humidifier or dehumidifier to adjust the ambient humidity to within the set range. The light sensor is used to monitor the ambient light intensity. When the light is too strong, the light intensity can be reduced by controlling the gateway shield. Therefore, the working modes are different in different environments. The heat dissipation mode, dehumidification mode and other working modes correspond to specific gateway usage environments.

[0088] The steps of obtaining the corresponding working mode according to the working environment data and combining the natural working mode and the working mode to obtain the working mode of the gateway are as follows:

[0089] The working environment data includes the electromagnetic wave intensity CD and the distance CL between the gateway and the device.

[0090] Get the number of tasks CS and the size of tasks CX processed by the gateway processor.

[0091] Influencing the correlation function based on data The data influence CY is calculated, where , , , is the scaling factor and is greater than 0.

[0092] Whether the working environment of the gateway affects data processing is determined according to the data impact degree. If it affects data processing, the preset working environment-working mode table is searched to obtain the corresponding working mode.

[0093] Gateway parameter settings of the natural working mode and the used working mode are extracted, and the gateway working mode is formed according to the gateway parameter settings.

[0094] In actual use, in addition to the natural environment such as temperature and humidity that will affect the gateway, the actual application environment of the gateway will also affect the data processing of the gateway. For example, there are a large number of devices in the working environment of the gateway, and the application of the devices will generate electromagnetic waves that interfere with the transmission of data. The farther the distance between the gateway and the data receiving and data transmission equipment is, the easier it is to affect the data transmission. The increase in the number of tasks processed by the gateway and the larger the tasks will be, will also affect the performance of the gateway, thereby affecting the results of data processing and causing inconvenience to users. Therefore, first determine whether the use environment of the gateway has an impact on the processing of gateway data. If it does not, there is no need to change the current working mode. If it does, the corresponding working mode is obtained according to the pre-set working environment-working mode table. For example, when the number of tasks increases, the CPU power is increased to speed up the parallel processing of multiple tasks. When the electromagnetic wave interference intensity is large, the anti-interference module is started. According to the corresponding parameter settings, the gateway working mode that the gateway should actually execute is obtained.

[0095] The gateway energy module 2 is connected to the environment adjustment module 1 by signal, and is used to receive environmental data and control the steps of outputting energy data after energy collection, specifically:

[0096] Get the real-time remaining power of the gateway, set the warning power value, and determine whether the real-time remaining power is not greater than the warning power value.

[0097] If the real-time remaining power is not greater than the warning power value, it is determined whether the ambient temperature meets the thermal charging requirements. If so, thermal charging is started.

[0098] If the ambient temperature does not meet the thermal energy charging requirements, it is determined whether the ambient light intensity meets the light energy charging requirements. If so, light energy charging is turned on.

[0099] If the light intensity does not meet the light energy charging requirements, the vibration frequency of the gateway is obtained to start vibration charging.

[0100] If the real-time remaining power does not reach the warning power value, the remaining working time of the gateway is obtained.

[0101] The average power consumption of the gateway is obtained, and the estimated power consumption of the gateway is calculated based on the average power consumption and the remaining working time, and it is determined whether the real-time remaining power is greater than the estimated power consumption.

[0102] If the real-time remaining power is not greater than the estimated power consumption, charging is started and energy data is output.

[0103] In actual use, the operation of the gateway requires the support of electric energy, and the reasonable allocation of the electric energy of the gateway can improve the working efficiency of the gateway and better complete the work of the gateway. When the power is no longer greater than the warning power value, it means that the gateway is in urgent need of power and needs to be charged. At this time, in order to save energy, renewable energy can be used for charging first. For example, using the temperature difference effect (such as thermocouples) to convert thermal energy into electrical energy, a certain temperature difference needs to be reached before charging can be achieved. Both light energy charging and vibration charging require certain conditions to be achieved. It is more convenient to give priority to these environmentally friendly energy sources for autonomous power supply. When environmental conditions do not allow autonomous power supply, power is supplied by an external power supply. When the power of the gateway does not reach the warning power, it does not mean that the power of the gateway is sufficient. If the gateway consumes 20 kWh per hour, the remaining power of the gateway is 40 kWh at this time, and it still needs to work for 7 hours. Obviously, the remaining power is not enough to support the gateway to work for 7 hours, and it also needs to be charged in time.

[0104] The operation time module 3 is connected to the environment adjustment module 1 by signal, and is used to receive the gateway working mode, obtain the gateway moving path, and predict the setting of the gateway working mode according to the gateway moving path and record it as the working mode table, specifically:

[0105] The estimated gateway moving path of the gateway is obtained, and the gateway working position is extracted according to the gateway moving path.

[0106] The location environment data of different gateway working locations are obtained respectively, and the corresponding gateway working mode is obtained according to the location environment data.

[0107] The estimated working time of different gateway working positions is obtained, and a working mode table is formed by corresponding them one by one with the gateway working modes.

[0108] In actual use, the installation, deployment and use of smart edge gateways are more personalized and flexible, and can be moved at will. In industrial environments, the use of gateways will be mobilized due to the use of equipment and the demand for gateways, and in vehicle environments, vehicle-mounted gateways will also be moved as the vehicle moves. After the location of the gateway is moved, the environment also changes, and the working mode also changes due to environmental changes. Therefore, according to the expected movement path of the gateway, the working position of the gateway can be obtained, and then the preset working mode can be obtained according to the environmental conditions, forming a working mode table, which is conducive to the subsequent allocation of gateway energy.

[0109] The primary energy module 4 is signal-connected to the operating time module 3 and the gateway energy module 2, and is used to receive the working mode table and energy data, and preliminarily divide the energy of different working modes according to the energy data and the working mode table and record it as the steps of primary energy distribution, specifically:

[0110] Extract the charging method from the energy data, obtain the estimated working time of the gateway working mode corresponding to the energy data, and calculate the charging power.

[0111] The real-time remaining power and the charging power are superimposed to calculate the estimated remaining power of the gateway.

[0112] Obtain the power requirements of all working modes in the working mode table, and add up the power requirements of all working modes to obtain the total power.

[0113] Determine whether the estimated remaining power is greater than the total power. If the remaining power is greater than the total power, distribute the power according to the power requirements of all working modes and output the primary energy distribution.

[0114] If the remaining power is not greater than the total power, the power demand of different gateway working positions is obtained, the power is allocated according to the power demand and the primary energy distribution is output.

[0115] In actual use, different working modes require different amounts of power. The more complex the working mode and the higher the power, the more power it consumes. In order to ensure that the gateway can complete all tasks as much as possible, this can be achieved by allocating power reasonably. When the remaining power can meet all the working needs of the gateway, it is directly allocated according to the power required by different working modes. When the power of the gateway is not enough to meet all the working needs, it needs to be allocated according to the power required by different working modes. While ensuring that all the work of the gateway can be completed, the impact caused by insufficient power is reduced.

[0116] If the remaining power is not greater than the total power, the power demand of different gateway working positions is obtained, and the power is allocated according to the power demand and the steps of outputting the primary energy distribution are as follows:

[0117] Get the data importance SS of different gateway locations.

[0118] The gateway working mode corresponding to the gateway working position is obtained and recorded as the position working mode, and the adjustment parameters of the position working mode are extracted and recorded as the adjustment parameters.

[0119] Obtain the influence of the adjustment parameters on data processing and record it as parameter influence , where i is the number of different adjustment parameters.

[0120] Get the gateway components corresponding to the adjustment parameters and the component importance of the gateway components , where i is the number of different adjustment parameters.

[0121] Correlation function based on power demand The power demand SD is calculated, where , is the scaling factor and is greater than 0, and n is the maximum number of adjustment parameters.

[0122] The power demand ratio is formed according to the ratio of the power demand of different gateway working positions, and the power is allocated in combination with the expected working time to output the primary energy distribution.

[0123] In actual use, insufficient power will lead to slow data transmission and data transmission errors. Therefore, when allocating power, the importance of the data needs to be considered. The more important the data is, the more power needs to be allocated. The more important the corresponding gateway components are, the more power needs to be given. For example, the power of the CPU is adjusted. The CPU is an important component for processing data, so more power needs to be given to the working mode that adjusts the CPU power. The power required for different working modes can be obtained based on the expected working time and working mode, and then allocated according to the power demand ratio. For example, the power demand ratio of the heat dissipation working mode, dehumidification working mode, and power working mode is 0.6:0.4:1. The heat dissipation working mode, dehumidification working mode, and power working mode are calculated according to the expected working time to obtain the required power of 3 kWh, 3 kWh, and 4 kWh, respectively, and the remaining power is 5 kWh. Firstly, the electricity is distributed according to 3:3:4 to 1.5 kWh, 1.5 kWh and 2 kWh respectively. Because the power working mode is more important, according to the electricity demand ratio, the heat dissipation working mode and dehumidification working mode allocate 40% and 60% of the electricity to the power working mode respectively. Therefore, the actual distributed electricity is 0.9 kWh, 0.6 kWh and 3.5 kWh.

[0124] The intermediate energy module 5 is connected to the primary energy module 4 signal, and is used to receive the primary energy distribution, obtain the user's waiting demand for the gateway service, and divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution step, specifically:

[0125] According to the primary energy distribution, the power corresponding to the working mode is obtained and recorded as the working power.

[0126] The data processing steps of the working mode are extracted, and the average processing time corresponding to the data processing steps is obtained.

[0127] The number of operations performed autonomously by users when the real-time processing time of a statistical data processing step exceeds the average processing time.

[0128] The weight ratio of the data processing steps is formed according to the number of operations, and the step power corresponding to different operation steps is obtained according to the working power and the weight ratio, and the intermediate energy distribution is output.

[0129] In actual use, the gateway works differently in different working modes, so the data processing steps are also different. Some work requires data transmission, some work requires data filtering, and some work requires data compression. When the gateway executes these steps, it needs waiting time. Distributing power according to the waiting time is conducive to improving user experience. For example, in historical processing data, when the compression time is too long, users refresh frequently, and when the data transmission time is too long, the number of user operations is significantly reduced. Therefore, it means that users cannot tolerate long-term data compression, so it is necessary to distribute power to the gateway components and parameters corresponding to data compression to increase the data compression time.

[0130] The gateway processing module 6 is signal-connected to the environment adjustment module 1 and the intermediate energy module 5, and is used to receive the gateway working mode and the intermediate energy distribution and mobilize the gateway to perform the corresponding work steps, specifically:

[0131] The real-time positioning of the gateway is obtained, the positioning environment data of the real-time positioning is obtained, and the positioning environment data is verified to be consistent with the corresponding location environment data. If not, the information is fed back to the runtime module 3 to reallocate energy.

[0132] If the positioning environment data is consistent with the corresponding location environment data, the working mode and intermediate energy distribution corresponding to the real-time positioning are found, and the gateway work is performed according to the working mode and intermediate energy distribution.

[0133] In actual use, when the gateway works according to the working mode and energy distribution obtained from the environment, further verification is required to verify whether the previous analysis is accurate. If the previous analysis is verified to be accurate, it is directly executed. If the previous analysis is verified to be wrong, timely feedback and correction can be made, which can improve the accuracy of the gateway's environmental adaptation and energy association.

[0134] An intelligent edge method for environmental self-adaptation and energy efficient management, by applying an intelligent edge gateway for environmental self-adaptation and energy efficient management as described above, collects environmental data through sensors, and selects a gateway working mode based on the environmental data.

[0135] Based on the environmental data, the energy data is output after energy collection is controlled according to the environmental data.

[0136] The gateway moving path is obtained, and the setting of the gateway working mode is obtained according to the gateway moving path prediction and recorded as the working mode table.

[0137] According to the energy data and the working mode table, the energy of different working modes is preliminarily divided and recorded as the primary energy distribution.

[0138] The waiting demand of users for gateway services is obtained, and the energy of gateway services is divided according to the waiting demand and recorded as intermediate energy distribution.

[0139] According to the gateway working mode and intermediate energy distribution, the gateway is mobilized to perform corresponding tasks.

[0140] In actual use, the appropriate working mode is called according to the environmental conditions to achieve environmental adaptation of the intelligent edge gateway. The working mode of the gateway at different locations is predicted through the mobile path of the gateway, so that the energy is initially divided and used according to the working mode and the remaining energy situation. Secondly, combined with the waiting demand of the user for the gateway service in the working mode, the energy distribution of different steps is further divided according to the waiting demand of the gateway service, so as to achieve efficient energy management of the intelligent edge gateway. The tedious steps of manual operation are reduced, and the convenience of using the intelligent edge gateway is improved.

[0141] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent edge gateway with environmental adaptation and energy efficient management, characterized in that: include: An environment adjustment module (1) collects environmental data through sensors and selects a gateway working mode according to the environmental data; The gateway energy module (2) is connected to the environment adjustment module (1) by signal, and is used to receive environmental data and output energy data after controlling energy collection; The running time module (3) is connected to the environment adjustment module (1) by signal, and is used to receive the working mode of the gateway, obtain the moving path of the gateway, and obtain the setting of the working mode of the gateway according to the prediction of the moving path of the gateway and record it as a working mode table; The primary energy module (4) is connected to the operating time module (3) and the gateway energy module (2) by signals, and is used to receive the working mode table and energy data, and preliminarily divide the energy of different working modes according to the energy data and the working mode table and record it as the primary energy distribution; The intermediate energy module (5) is connected to the primary energy module (4) by signal, and is used to receive the primary energy distribution, obtain the user's waiting demand for the gateway service, divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution; The gateway processing module (6) is signal-connected to the environment adjustment module (1) and the intermediate energy module (5) and is used to receive the gateway working mode and the intermediate energy distribution and to mobilize the gateway to perform corresponding work.

2. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 1, characterized in that: The environment adjustment module (1) acquires environment data through sensors, and selects the gateway working mode according to the environment data, specifically comprising: Acquire environmental data through sensors, wherein the environmental data includes natural environment data and working environment data; The natural environment data includes ambient temperature, ambient humidity and ambient light intensity; Obtaining standard environment data for gateway operation, wherein the standard environment data includes standard temperature, standard humidity and standard light intensity; Calculate the difference between natural environment data and standard environment data to obtain temperature difference, humidity difference and intensity difference; Set the difference range to determine whether the temperature difference, humidity difference and intensity difference are within the corresponding difference range. If not, output the corresponding natural working mode. The corresponding usage working mode is obtained according to the working environment data, and the gateway working mode is obtained by combining the natural working mode and the usage working mode.

3. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 2, characterized in that: The step of obtaining the corresponding use working mode according to the working environment data and combining the natural working mode and the use working mode to obtain the gateway working mode is specifically as follows: The working environment data includes electromagnetic wave intensity CD and the distance CL between the gateway and the device; Get the number of tasks CS and the size of tasks CX processed by the gateway processor; Influencing the correlation function based on data The data influence CY is calculated, where , , , is the scale factor and is greater than 0; Determine whether the working environment of the gateway affects data processing according to the data impact degree. If it affects data processing, find the preset working environment-working mode table to obtain the corresponding working mode; Gateway parameter settings of the natural working mode and the used working mode are extracted, and the gateway working mode is formed according to the gateway parameter settings.

4. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 3, characterized in that: The gateway energy module (2) is connected to the environment adjustment module (1) by signal, and is used to receive environmental data and control the steps of outputting energy data after energy collection, specifically: Get the real-time remaining power of the gateway, set the warning power value, and determine whether the real-time remaining power is not greater than the warning power value; If the real-time remaining power is not greater than the warning power value, it is determined whether the ambient temperature meets the thermal charging requirements. If so, thermal charging is started. If the ambient temperature does not meet the thermal charging requirements, it is determined whether the ambient light intensity meets the light charging requirements. If so, light charging is enabled. If the light intensity does not meet the light energy charging requirements, the vibration frequency of the gateway is obtained to start vibration charging; If the real-time remaining power does not reach the warning power value, the remaining working time of the gateway is obtained; Obtain the average power consumption of the gateway, calculate the expected power consumption of the gateway based on the average power consumption and the remaining working time, and determine whether the real-time remaining power is greater than the expected power consumption; If the real-time remaining power is not greater than the estimated power consumption, charging is started and energy data is output.

5. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 4, characterized in that: The operation time module (3) is connected to the environment adjustment module (1) by signal, and is used to receive the gateway working mode, obtain the gateway moving path, and predict the setting of the gateway working mode according to the gateway moving path and record it as the working mode table, which is specifically the following steps: Obtain the gateway's estimated gateway movement path, and extract the gateway's working position based on the gateway movement path; Obtain location environment data of different gateway working locations respectively, and obtain corresponding gateway working modes according to the location environment data; The estimated working time of different gateway working positions is obtained, and a working mode table is formed by corresponding them one by one with the gateway working modes.

6. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 5, characterized in that: The primary energy module (4) is signal-connected to the operating time module (3) and the gateway energy module (2) and is used to receive the working mode table and energy data, and preliminarily divide the energy of different working modes according to the energy data and the working mode table and record it as the primary energy distribution step, specifically: Extract the charging mode from the energy data, obtain the estimated working time of the gateway working mode corresponding to the energy data, and calculate the charging power; The real-time remaining power and the charging power are superimposed to calculate the estimated remaining power of the gateway; Obtain the power requirements of all working modes in the working mode table, and add up the power requirements of all working modes to obtain the total power; Determine whether the estimated remaining power is greater than the total power. If the remaining power is greater than the total power, distribute the power according to the power requirements of all working modes and output the primary energy distribution; If the remaining power is not greater than the total power, the power demand of different gateway working positions is obtained, the power is allocated according to the power demand and the primary energy distribution is output.

7. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 6, characterized in that: If the remaining power is not greater than the total power, the steps of obtaining the power demand of different gateway working positions, allocating power according to the power demand and outputting the primary energy distribution are specifically as follows: Get the data importance SS of different gateway locations; Obtaining a gateway working mode corresponding to the working position of the gateway and recording it as the position working mode, extracting an adjustment parameter of the position working mode and recording it as an adjustment parameter; Obtain the influence of the adjustment parameters on data processing and record it as parameter influence , where i is the number of different adjustment parameters; Get the gateway components corresponding to the adjustment parameters and the component importance of the gateway components , where i is the number of different adjustment parameters; Correlation function based on power demand The power demand SD is calculated, where , is the scale factor and is greater than 0, and n is the maximum number of adjustment parameters; The power demand ratio is formed according to the ratio of the power demand of different gateway working positions, and the power is allocated in combination with the expected working time to output the primary energy distribution.

8. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 7, characterized in that: The intermediate energy module (5) is connected to the primary energy module (4) by signal, and is used to receive the primary energy distribution, obtain the user's waiting demand for the gateway service, and divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution step, specifically: According to the primary energy distribution, the power corresponding to the working mode is obtained and recorded as the working power; Extract the data processing steps of the working mode and obtain the average processing time corresponding to the data processing steps; The number of operations performed autonomously by users when the real-time processing time of the statistical data processing step exceeds the average processing time; The weight ratio of the data processing steps is formed according to the number of operations, and the step power corresponding to different operation steps is obtained according to the working power and the weight ratio, and the intermediate energy distribution is output.

9. The intelligent edge gateway with environmental adaptation and energy efficient management according to claim 8, characterized in that: The gateway processing module (6) is signal-connected to the environment adjustment module (1) and the intermediate energy module (5) and is used to receive the gateway working mode and the intermediate energy distribution and to mobilize the gateway to perform the corresponding work, specifically: Obtain the real-time positioning of the gateway, obtain the positioning environment data of the real-time positioning, verify whether the positioning environment data is consistent with the corresponding location environment data, and if not, feed back the information to the runtime module (3) to reallocate energy; If the positioning environment data is consistent with the corresponding location environment data, the working mode and intermediate energy distribution corresponding to the real-time positioning are found, and the gateway work is performed according to the working mode and intermediate energy distribution.

10. An intelligent edge method for environmental adaptation and energy efficient management, characterized in that: By applying an intelligent edge gateway for environmental adaptation and energy efficient management as described in any one of claims 1 to 9, specifically: Environmental data is collected through sensors, and the gateway working mode is selected according to the environmental data; Based on environmental data, control energy collection according to environmental data and output energy data; Obtaining the gateway moving path, and predicting the setting of the gateway working mode according to the gateway moving path and recording it as a working mode table; Based on the energy data and the working mode table, the energy of different working modes is preliminarily divided and recorded as the primary energy distribution; Obtain the user's waiting demand for the gateway service, divide the energy of the gateway service according to the waiting demand and record it as the intermediate energy distribution; According to the gateway working mode and intermediate energy distribution, the gateway is mobilized to perform corresponding tasks.

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