Electrical cabin intelligent distribution method applied to intelligent lamp post and intelligent street lamp equipment

Abstract

The invention discloses an electrical cabin intelligent distribution method applied to an intelligent lamp post and intelligent street lamp equipment, and belongs to the technical field of intelligent cities. The distribution position of intelligent street lamps in a supply area and the distance between the intelligent street lamps in a to-be-dispatched area and the empty cabin condition of charging cabins in the intelligent street lamps are combined; the logarithmic artificial potential field is adopted for dispatching point location selection, the intelligent street lamp point location with the maximum demand quantity is optimized, and the utilization rate of charging equipment of each point location is increased. Besides, the characteristic of diversification of urban intelligent lamp pole power supply equipment is considered, equipment of different voltage grades is integrated, scene-based operational points of the intelligent lamp pole are considered, shared mobile charging equipment is integrally designed according to the use environment, and the characteristic of mobile phone charging and use is considered to be combined with the travel condition of citizens. A flexible and convenient borrowing mode of the mobile charging equipment is combined with municipal equipment, and convenient urban service infrastructure with multiple selectable charging modes is provided for citizens when the citizens continue to charge mobile phones when going out.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart cities, and in particular relates to an intelligent distribution method of electrical compartments applied to smart lamp poles and smart street lamp equipment. Background Art

[0002] The smart street light system not only integrates intelligent lighting modules, but also integrates core functions such as information release, information collection, information transmission and control, and emergency power supply. With the help of outdoor LED display screens, high-definition cameras, wireless WiFi and charging piles, the system can realize multiple applications such as lighting, monitoring, environmental monitoring, charging, and Internet access. These diversified applications make it have broad application prospects in the fields of energy conservation, environmental protection, accident warning, public safety, and public transportation, showing extremely high practical application value. It can not only comprehensively enhance and improve social benefits, but also serve as the sensing end of smart cities, promote the full coverage of urban Internet of Things, and provide strong support for the construction and development of smart cities. (1) Intelligent lighting. Smart street lights adopt a wide voltage input range of AC85~264 V and a modular structure design to select appropriate lamps and power. (2) Information release. The smart street light system is equipped with an LED display screen as a platform for information release, including vehicle and personnel density, weather conditions, environmental information, public service advertisements, etc. At the same time, it is equipped with picture, text, and video conversion devices to switch various modes according to the published content to meet the requirements of multi-scenario use. (3) Information collection - sensors. The smart street light system is equipped with equipment with environmental monitoring functions to monitor air pollution, noise, wind speed, etc. In addition, specific environmental monitoring equipment can be installed according to the specific needs of the city. All information is reported to the monitoring center for data processing and summarized to the relevant departments for further processing. (4) Information collection - monitoring. The smart street light system is equipped with traffic monitoring equipment to monitor real-time traffic conditions, vehicle and personnel density, illegal parking, etc. and transmit them to the control center. The monitoring center processes and analyzes the uploaded images and finds congestion, safety and other problems. However, the current smart street lights still have the following shortcomings:

[0003] Existing smart street lights do not use modular expansion in combination with mobile charging devices. However, with the popularity of mobile devices such as smartphones, people's demand for mobile charging is growing. Shared mobile charging equipment has received widespread attention as a convenient mobile charging solution. Existing shared mobile charging equipment is mostly arranged in large shopping malls or supermarkets. Users who need emergency charging of mobile phones need to go to the corresponding locations to borrow or return them, which causes inconvenience to the borrowing and returning of shared mobile charging equipment. In addition, the cabinets are currently fixed. Operators need to determine where the demand for shared mobile charging equipment is the greatest based on past experience, and then place the cabinets in the predetermined area and wait for customers to use them. However, the uneven distribution of passenger flow in different time periods may result in some cabinets having high utilization rates in the morning, low utilization rates in the afternoon, and low utilization rates throughout the day. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present application provides an intelligent distribution method of electrical compartments applied to smart lamp poles and a smart street lamp device.

[0005] In the first aspect, the present application proposes an intelligent distribution method of electrical compartments applied to smart lamp poles, such as Figure 1 As shown, the following steps are included:

[0006] Obtain the remaining storage capacity of mobile charging devices in the electrical compartments of smart lamp poles in each area;

[0007] Analyzing the number of device borrowing requests received within a preset time period according to the device borrowing requests sent by at least one user terminal in any area;

[0008] Determine whether the difference between the storage balance of the mobile charging device in the area and the number of device borrowing requests is a positive integer, if so, determine that the area is a supply area, otherwise, determine that the area is a waiting area;

[0009] Construct an intelligent allocation plan according to the smart lamp pole locations in the area to be dispatched, the number of empty electrical compartments of the smart lamp poles corresponding to the locations, and the smart lamp pole locations in the supply area;

[0010] According to the intelligent allocation scheme, a dispatch instruction is sent to the supply area, and the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments in the supply area to the area to be dispatched for replenishment.

[0011] In some embodiments, the step of calculating the number of device borrowing requests received within a preset time period according to the device borrowing requests sent by at least one user terminal in any area includes:

[0012] Get the regional video data corresponding to the device borrowing request;

[0013] Determine crowd density and crowd location based on regional video data;

[0014] Determine the regional crowd flow heat map based on crowd density and crowd location;

[0015] Determine the number of equipment borrowing requests based on the regional traffic heat map;

[0016] According to the heat value of each smart light pole point in the regional crowd flow heat map, sort them from large to small. The heat value represents the crowd density at the current smart light pole point.

[0017] According to the sorting and preset crowd demand table, the demand for mobile charging equipment at each smart lamp pole point is determined. The crowd demand table includes the number of equipment borrowing requests corresponding to different rankings.

[0018] In some embodiments, the intelligent allocation scheme is constructed according to the smart lamp pole positions in the area to be dispatched, the number of empty electrical compartments of the smart lamp poles corresponding to the positions, and the smart lamp pole positions in the supply area, including:

[0019] A mobile charging equipment scheduling model is established based on the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area in combination with the artificial potential field method. The mobile charging equipment scheduling model includes establishing a logarithmic gravitational potential field function:

[0020]

[0021] in, It represents the coordinates of the mass point that generates the gravitational potential field, that is, the smart light pole point in the area to be dispatched. X represents the coordinates of the virtual mass that is affected by the potential field gravity, that is, the smart light pole point in the supply area. It represents the logarithmic artificial gravitational potential field strength generated by the smart lamp pole points in the area to be dispatched. is the logarithmic artificial gravitational potential field proportional coefficient, express The absolute value of the distance to X;

[0022] The negative gradient of the logarithmic gravitational potential field function is obtained to obtain the gravitational potential field in which the virtual mass at point X is subjected to The gravitational force of the gravitational field generated by the particle at is:

[0023]

[0024] Gravity Find the absolute value and get the virtual mass at the position The absolute value of the gravitational force of the gravitational field particle at is:

[0025]

[0026] In some embodiments, the mobile charging device scheduling model further includes calculating the logarithmic gravitational potential field of the preferred replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area;

[0027] Set the jth smart lamp pole point in the area to be dispatched as the preferred replenishment point ,but The logarithmic artificial gravitational potential field generated at X is:

[0028]

[0029] Where X is the coordinate of any smart light pole point in the supply area subject to the gravitational force of the logarithmic potential field, The coordinates of the smart light pole points in the area to be dispatched to generate the gravitational potential field. is the gravitational field strength generated by the smart light pole point in the jth area to be dispatched at point X, for arrive The absolute value of the distance; is the gravitational field coefficient, is the empty cabin impact factor of the j-th smart lamp pole point, and is the logarithm to the base 10 of the number of empty cabins of the charging rack + 1. If the number of empty cabins is 0, The result of calculation is 0; if the number of empty cabins is 9, The calculation result is 1, and the expression is as follows:

[0030]

[0031] Among them, slots_j is the number of empty slots at the smart light pole point in the jth area to be dispatched;

[0032] gravitational potential field function Find the negative gradient, and you will get that any smart light pole point in the supply area at position X is affected by The gravity of the smart lamp pole point in the area to be dispatched is:

[0033]

[0034] in, Any smart light pole point in the supply area located at X is affected by The attraction of the smart light pole points in the area to be dispatched, for The distance vector to X, for arrive The absolute value of the distance, the gravity of each smart light pole point is determined by the distance and the number of empty cabins of the smart light pole points in the area to be dispatched;

[0035] Gravity Calculate the absolute value and get the smart lamp pole point in the supply area at position X. The absolute value of gravity of the smart lamp pole point in the area to be dispatched is:

[0036]

[0037] in, It is the absolute value of the gravitational force exerted on any smart light pole point in the supply area by the smart light pole point in the jth area to be dispatched.

[0038] In some embodiments, the mobile charging device scheduling model further includes calculating the logarithmic gravitational potential field of the second-choice replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area;

[0039] When the empty compartment in the first choice replenishment point is occupied after being returned and causes scheduling failure, a second selection of replenishment points is required. At this time, the logarithmic gravitational potential field of the second choice replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area is calculated;

[0040] Assume that the i-th smart lamp pole point in the area to be dispatched is the second choice replenishment point ,but The logarithmic artificial gravitational potential field generated at X is:

[0041]

[0042] Where X is the coordinate of any smart light pole point in the supply area subject to the gravitational force of the logarithmic potential field, The coordinates of the smart light pole points in the area to be dispatched to generate the gravitational potential field. is the gravitational field strength generated by the smart light pole point in the i-th area to be dispatched at point X, for The absolute value of the distance to X; is the gravitational field coefficient, is the empty cabin impact factor of the i-th smart lamp pole point, and is the logarithm to the base 10 of the number of empty cabins of the charging rack + 1. If the number of empty cabins is 0, The result of calculation is 0; if the number of empty cabins is 9, The calculation result is 1, and the expression is as follows:

[0043]

[0044] Among them, slots_i is the number of empty slots on the smart light pole point in the i-th area to be dispatched;

[0045] gravitational potential field function Find the negative gradient, and you will get that any smart light pole point in the supply area at position X is affected by The gravity of the smart lamp pole point in the area to be dispatched is:

[0046]

[0047] in, Any smart light pole point in the supply area located at X is affected by The attraction of the smart light pole points in the area to be dispatched, for The distance vector to X, for The absolute value of the distance to X. The gravity of each smart light pole point is determined by the distance and the number of empty cabins of the smart light pole points in the area to be dispatched;

[0048] Gravity Calculate the absolute value and get the smart lamp pole point in the supply area at position X. The absolute value of gravity of the smart lamp pole point in the area to be dispatched is:

[0049]

[0050] in, It is the absolute value of the gravitational force exerted on any smart light pole point in the supply area by the smart light pole point in the i-th area to be dispatched.

[0051] In some embodiments, sending a dispatch instruction to the supply area according to the intelligent allocation scheme, wherein the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments of the supply area to the area to be dispatched for replenishment, includes:

[0052] The absolute values ​​of the two logarithmic gravitational forces of the first choice replenishment point and the second choice replenishment point are summed, and the station with the largest sum of the absolute values ​​of gravitational forces is selected as the optimal station for scheduling through cyclic calculation;

[0053]

[0054] in, is the gravitational coefficient between the jth smart light pole point in the area to be dispatched and any smart light pole point in the supply area, The gravitational coefficient between the i-th smart light pole point in the area to be dispatched and any smart light pole point in the supply area;

[0055] According to the optimal site, a dispatch instruction is sent to the supply area, wherein the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments of the supply area to the area to be dispatched for replenishment.

[0056] In the second aspect, the present application proposes a smart street lamp device applied to the above-mentioned electrical compartment intelligent allocation method, including a smart lamp pole base body 1, a charging area is arranged on the smart lamp pole base body 1, a mobile charging device external compartment 2 and a magnetic wireless charging component 3 are arranged in the charging area, the mobile charging device external compartment 2 includes a charging main compartment 21 and a charging standby compartment 22, the charging main compartment 21 and the charging standby compartment 22 are connected by a slide slot card connection, a power supply groove 211 is arranged at the bottom of the charging main compartment 21, and a main compartment power signal connection contact 21 is arranged on the power supply groove 211 2. A power supply protrusion 221 corresponding to the power supply groove 211 is provided on the top of the charging standby compartment, and a corresponding auxiliary compartment power signal connection contact 222 is provided on the power supply groove 211. When the auxiliary compartment is inserted into the main compartment slide slot, the contact is connected, and the mobile charging device in the auxiliary compartment is powered and used normally. At the same time, it is controlled by the power signal connection contact. A multi-mode power supply device is provided inside the main body 1 of the smart lamp pole base. The multi-mode power supply device is electrically connected to the mobile charging device external compartment 2 and the magnetic wireless charging component 3. The magnetic wireless charging component 3 is used to adsorb and fix the charged device placed on its surface.

[0057] In some embodiments, it also includes a power priority selection controller, a solar cell module, a solar cell status collection sensor, a voltage compensation controller, a battery controller, a battery pack, a closed-loop current controller, and an all-in-one sensor, wherein the power priority selection controller is connected to the solar cell status collection sensor, the solar cell module and the power grid; the solar cell module is connected to the solar cell status collection sensor; the mobile charging device multi-mode power supply device is connected to the solar cell module and the power grid; the voltage compensation controller is connected to the battery controller; the battery controller is connected to the battery pack; the battery pack is connected to the closed-loop current controller; the closed-loop current controller is connected to the all-in-one sensor; the all-in-one sensor is connected to the corresponding mobile charging device, and the information collected by the all-in-one sensor is fed back to the previous stage for use to control the charging method of the mobile charging device.

[0058] In a third aspect, the present application proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0059] In a fourth aspect, the present application proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0060] Beneficial effects of the present invention:

[0061] 1. Combined with the distribution of smart street lights in the supply area, the distance to the smart street lights in the area to be dispatched, and the empty cabin situation of the charging cabin in the smart street lights, a logarithmic artificial potential field is used to select the dispatching points, and the smart street lights with the largest demand are selected to improve the utilization rate of charging equipment at each point.

[0062] 2. Considering the diversified characteristics of urban smart lamp pole power supply equipment, equipment of different voltage levels will be integrated, scenario-based operational points of smart lamp poles will be considered, shared mobile charging equipment will be designed as a whole according to the use environment, the characteristics of mobile phone charging and use will be considered in combination with citizens' travel conditions, and the flexible and convenient borrowing methods of mobile charging equipment will be combined with municipal equipment, so as to provide citizens with convenient and various charging options while continuing to charge their mobile phones when traveling. Urban service infrastructure. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is the overall flow chart of the present invention.

[0064] Figure 2 This is a three-dimensional diagram of the structure of the smart street light equipment.

[0065] Figure 3 This is the left view of the smart street light equipment structure.

[0066] Figure 4 This is the structural diagram of the main charging cabin.

[0067] Figure 5 This is the structural diagram of the charging standby cabin. DETAILED DESCRIPTION

[0068] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein; on the contrary, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0069] In a first aspect, the present application proposes an intelligent distribution method of electrical compartments applied to smart lamp poles, comprising the following steps:

[0070] S100: Obtain the storage capacity of mobile charging devices in the electrical compartments of smart lamp poles in each area;

[0071] Among them, when the electrical compartment of the smart lamp pole starts working, the mobile charging devices are all fully charged. However, after a period of use, the number of mobile charging devices in the electrical compartment varies. Some electrical compartments are empty, indicating that they cannot be lent out. In addition, some mobile charging devices are low in power and cannot be lent out to users. Therefore, according to the preset minimum power value, it is judged whether the power of the mobile charging device meets the lending requirements. For example, the minimum power threshold is set to 50%. If the power of the mobile charging device is 40%, it is judged as a non-lending state. If the power of the mobile charging device is 80%, it is judged as a lending state and included in the mobile charging device inventory. The inventory of mobile charging devices can be determined by subtracting the number of empty compartments in the electrical compartment;

[0072] Furthermore, for each region, the mobile charging equipment management platform can determine the total stock of mobile charging equipment based on the number of mobile cabinets in the region and the corresponding stock of mobile charging equipment. For example, there are 4 smart lamp poles in the current region, and the stock of mobile charging equipment of these 4 smart lamp poles is 10, 15, 8 and 12 respectively, then the total stock of mobile charging equipment in the current region is 45, and the preliminary scheduling demand is determined based on the number of equipment borrowing requests and the total stock of mobile charging equipment, wherein the scheduling demand represents the number of mobile charging equipment that can be transferred in or the number of mobile charging equipment that can be transferred out. For example, the number of equipment borrowing requests in region A is 60, the total stock of mobile charging equipment in region A is 45, the number of equipment borrowing requests in region B is 80, and the total stock of mobile charging equipment in region B is 100, then the scheduling demand of region A is 15, indicating that 15 mobile charging equipment can be transferred in, and the scheduling demand of region B is -20, indicating that 20 mobile charging equipment can be transferred out. Specifically, the mobile charging equipment management platform can be deployed on a cloud server, and the cloud server provides services to users. The cloud server can be deployed on a private cloud or a public cloud, and this embodiment of the present application does not limit this.

[0073] S200: Analyzing the number of device borrowing requests received within a preset time period according to the device borrowing requests sent by at least one user terminal in any area;

[0074] In some embodiments, the step of calculating the number of device borrowing requests received within a preset time period according to the device borrowing requests sent by at least one user terminal in any area includes:

[0075] Get the regional video data corresponding to the device borrowing request;

[0076] Determine crowd density and crowd location based on regional video data;

[0077] Determine the regional crowd flow heat map based on crowd density and crowd location;

[0078] Determine the number of equipment borrowing requests based on the regional traffic heat map;

[0079] According to the heat value of each smart light pole point in the regional crowd flow heat map, sort them from large to small. The heat value represents the crowd density at the current smart light pole point.

[0080] According to the sorting and preset crowd demand table, the number of equipment borrowing requests for each smart lamp pole point is determined. The crowd demand table includes the number of equipment borrowing requests corresponding to different rankings.

[0081] In real life, places with large flow of people are basically fully covered by cameras. Smart street lights can be set up to obtain the actual flow of people through cameras in the place, and then determine the passenger flow heat map covering all areas based on the flow of people. Smart street lights can obtain video data taken by all cameras in the current place. Then, by analyzing the video data, the crowd density and crowd position of the camera shooting location are determined. Smart street lights can use pre-trained convolutional neural networks to analyze video data to determine the crowd density in the video data. Then, according to the position of the camera that took the video data, the crowd position is determined. When the technical solution of the present invention is actually implemented, the specific selection of which convolutional neural network can be made according to actual needs. The embodiment of the present invention does not limit this. Smart street lights can determine the passenger flow heat map based on the crowd density and crowd position on the basis of the place map. There are multiple hotspots distributed in the passenger flow heat map. The position of the hotspot indicates the position of the crowd. The darker the color of the hotspot, the greater the crowd density.

[0082] In addition, since users who use mobile charging devices basically charge their mobile phones, the number and location of mobile phones can be approximately equal to the number and location of the crowd. According to the three-point positioning principle, only three positioning devices that can receive mobile phone signals are needed to locate the location of the mobile phone. When the number of cameras in the venue is small, the position of the positioning device can be reasonably set to cover the entire venue with the range of receiving mobile phone signals. It should be noted that the mobile phone signal can be a signal of a wireless local area network or a signal of a cellular mobile communication network. The embodiment of the present invention does not limit this. The positioning device can receive the mobile phone signal in real time, and then determine the specific location of each mobile phone based on the three-point positioning principle. The smart street lamp can obtain the number of mobile phones and the specific location of each mobile phone, and then determine the passenger flow heat map based on the number of mobile phones and the specific location of each mobile phone. For the convenience of comparison, the smart street lamp can convert the color of the hot spot in the passenger flow heat map into a thermal value. The thermal value represents the density of the crowd in the current area. The darker the color, the greater the crowd density, and the greater the thermal value. The smart street lamp can rank the area from large to small according to the thermal value of each area in the passenger flow heat map. In the regional ranking, the crowd density in the top-ranked area is large, and the crowd density in the bottom-ranked area is small. The smart street light can determine the number of equipment borrowing requests in each area based on the regional ranking and the preset crowd demand table. The crowd demand table includes the number of equipment borrowing requests corresponding to different rankings. The crowd demand table can be obtained by the administrator of the mobile cabinet based on the historical flow data of the venue and the number of all mobile cabinets.

[0083] As another implementation method, when there are not enough cameras or positioning devices configured at the site, the smart street light can also determine the flow of people in each area by obtaining user orders in each area. Users can initiate mobile charging equipment rental or return orders through the application software on their mobile phones. The order can contain the user's location, which can be either the user's current location or the next location the user plans to go to. The smart street light can classify the order according to the location in the order, and then determine the number of equipment borrowing requests in each area according to the number of orders in each area. Furthermore, the received orders are the usage needs of the current users in each area, and there is still potential usage demand for the entire population. Smart street lights can also predict the number of equipment borrowing requests in the future based on the current number of orders and historical order data. For example, the number of orders in the current area is 20, and the smart street light can determine that the number of equipment borrowing requests in the current area is 25 based on historical order data.

[0084] The number of equipment borrowing requests for each smart light pole location is determined based on the above two methods.

[0085] S300: Determine whether the difference between the storage balance of the mobile charging device in the area and the number of device borrowing requests is a positive integer, if so, determine that the area is a supply area, otherwise, determine that the area is a waiting area;

[0086] The method provided by the embodiment of the present application first obtains the storage balance of mobile charging devices in the electrical compartment of the smart lamp pole in each area; secondly, analyzes the number of device borrowing requests received within a preset time period according to the device borrowing request sent by at least one user terminal in any area; finally, determines whether the difference between the storage balance of the mobile charging device in the area and the number of device borrowing requests is a positive integer, if so, determines that the area is a supply area, otherwise, determines that the area is a to-be-scheduled area. In this way, the purpose of determining the dispatching area and supply area of ​​the electrical compartment of the smart lamp pole is achieved.

[0087] S400: Building an intelligent allocation plan according to the smart lamp pole locations in the area to be dispatched, the number of empty electrical compartments of the smart lamp poles corresponding to the locations, and the smart lamp pole locations in the supply area;

[0088] S500: According to the intelligent allocation scheme, a dispatch instruction is sent to the supply area, wherein the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments in the supply area to the area to be dispatched for replenishment.

[0089] In some embodiments, the intelligent allocation scheme is constructed according to the smart lamp pole positions in the area to be dispatched, the number of empty electrical compartments of the smart lamp poles corresponding to the positions, and the smart lamp pole positions in the supply area, including:

[0090] The logarithmic artificial potential field method is used to model the mobile charging equipment scheduling environment. The components of the mobile charging equipment scheduling environment include: the smart lamp pole mobile charging equipment points in the supply area and the smart lamp pole mobile charging equipment points in the area to be scheduled; the mobile charging equipment scheduling model is established based on the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area combined with the artificial potential field method, and the mobile charging equipment scheduling model includes establishing a logarithmic gravitational potential field function:

[0091]

[0092] in, It represents the coordinates of the mass point that generates the gravitational potential field, that is, the smart light pole point in the area to be dispatched. X represents the coordinates of the virtual mass that is affected by the potential field gravity, that is, the smart light pole point in the supply area. It represents the logarithmic artificial gravitational potential field strength generated by the smart lamp pole points in the area to be dispatched. is the logarithmic artificial gravitational potential field proportional coefficient, express The absolute value of the distance to X. The gravitational potential field strength at the location of the virtual mass under force in the logarithmic potential field decreases as the distance between it and the central mass point of the gravitational potential field decreases. When the virtual mass under force is infinitely close to the central mass point of the gravitational potential field until the two points coincide, the gravitational potential field strength is 0.

[0093] The negative gradient of the logarithmic gravitational potential field function is obtained to obtain the gravitational potential field in which the virtual mass at point X is subjected to The gravitational force of the gravitational field generated by the particle at is:

[0094]

[0095] Gravity Find the absolute value and get the virtual mass at the position The absolute value of the gravitational force of the gravitational field particle at is:

[0096]

[0097] The above formula shows that the gravitational force on the object in the logarithmic potential field increases as the distance between it and the central mass point of the gravitational potential field decreases. When the virtual mass under force is infinitely close to the central mass point of the gravitational potential field until the two points coincide, the gravitational force reaches its maximum value. ;

[0098] In some embodiments, the mobile charging device scheduling model further includes calculating the logarithmic gravitational potential field of the preferred replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area;

[0099] On the basis of the gravitational field formula, combined with the relationship between the gravitational field center mass and the virtual mass under force in the logarithmic gravitational potential field function, the gravitational potential field parameters and gravitational relationships are further specified. ,but The logarithmic artificial gravitational potential field generated at X is:

[0100]

[0101] Where X is the coordinate of any smart light pole point in the supply area subject to the gravitational force of the logarithmic potential field, The coordinates of the smart light pole points in the area to be dispatched to generate the gravitational potential field. is the gravitational field strength generated by the smart light pole point in the jth area to be dispatched at point X, for arrive The absolute value of the distance; is the gravitational field coefficient, is the empty cabin impact factor of the j-th smart lamp pole point, and is the logarithm to the base 10 of the number of empty cabins of the charging rack + 1. If the number of empty cabins is 0, The result of calculation is 0; if the number of empty cabins is 9, The calculation result is 1, and the expression is as follows:

[0102]

[0103] Among them, slots_j is the number of empty cabins on the smart light pole point in the jth area to be dispatched. The above formula shows that the gravitational potential field strength at X increases with its relationship with the smart light pole point in the area to be dispatched. , decreases with the decrease of the distance between them. When any smart light pole point X in the supply area is infinitely close to the smart light pole point in the jth area to be dispatched , until the two points coincide, the gravitational potential field intensity generated by point X is 0;

[0104] gravitational potential field function Find the negative gradient, and you will get that any smart light pole point in the supply area at position X is affected by The gravity of the smart lamp pole point in the area to be dispatched is:

[0105]

[0106] in, Any smart light pole point in the supply area located at X is affected by The attraction of the smart light pole points in the area to be dispatched, for The distance vector to X, for arrive The absolute value of the distance, the gravity of each smart light pole point is determined by the distance and the number of empty cabins of the smart light pole points in the area to be dispatched;

[0107] Gravity Calculate the absolute value and get the smart lamp pole point in the supply area at position X. The absolute value of gravity of the smart lamp pole point in the area to be dispatched is:

[0108]

[0109] in, It is the absolute value of the gravitational force exerted on any smart light pole point in the supply area by the smart light pole point in the jth area to be dispatched.

[0110] In some embodiments, the mobile charging device scheduling model further includes calculating the logarithmic gravitational potential field of the second-choice replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area;

[0111] When the empty compartment in the first choice replenishment point is occupied after being returned and causes scheduling failure, a second selection of replenishment points is required. At this time, the logarithmic gravitational potential field of the second choice replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area is calculated;

[0112] Assume that the i-th smart lamp pole point in the area to be dispatched is the second choice replenishment point ,but The logarithmic artificial gravitational potential field generated at X is:

[0113]

[0114] Where X is the coordinate of any smart light pole point in the supply area subject to the gravitational force of the logarithmic potential field, The coordinates of the smart light pole points in the area to be dispatched to generate the gravitational potential field. is the gravitational field strength generated by the smart light pole point in the i-th area to be dispatched at point X, for The absolute value of the distance to X; is the gravitational field coefficient, is the empty cabin impact factor of the i-th smart lamp pole point, and is the logarithm to the base 10 of the number of empty cabins of the charging rack + 1. If the number of empty cabins is 0, The result of calculation is 0; if the number of empty cabins is 9, The calculation result is 1, and the expression is as follows:

[0115]

[0116] Among them, slots_i is the number of empty slots on the smart light pole point in the i-th area to be dispatched;

[0117] gravitational potential field function Find the negative gradient, and you will get that any smart light pole point in the supply area at position X is affected by The gravity of the smart lamp pole point in the area to be dispatched is:

[0118]

[0119] in, Any smart light pole point in the supply area located at X is affected by The attraction of the smart light pole points in the area to be dispatched, for The distance vector to X, for The absolute value of the distance to X. The gravity of each smart light pole point is determined by the distance and the number of empty cabins of the smart light pole points in the area to be dispatched;

[0120] Gravity Calculate the absolute value and get the smart lamp pole point in the supply area at position X. The absolute value of gravity of the smart lamp pole point in the area to be dispatched is:

[0121]

[0122] in, It is the absolute value of the gravitational force exerted on any smart light pole point in the supply area by the smart light pole point in the i-th area to be dispatched.

[0123] In some embodiments, sending a dispatch instruction to the supply area according to the intelligent allocation scheme, wherein the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments of the supply area to the area to be dispatched for replenishment, includes:

[0124] The absolute values ​​of the two logarithmic gravitational forces of the first choice replenishment point and the second choice replenishment point are summed, and the station with the largest sum of the absolute values ​​of gravitational forces is selected as the optimal station for scheduling through cyclic calculation;

[0125]

[0126] in, is the gravitational coefficient between the jth smart light pole point in the area to be dispatched and any smart light pole point in the supply area, The gravitational coefficient between the i-th smart light pole point in the area to be dispatched and any smart light pole point in the supply area;

[0127] According to the optimal site, a dispatch instruction is sent to the supply area, wherein the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments of the supply area to the area to be dispatched for replenishment.

[0128] In the second aspect, the present application proposes a smart street lamp device applied to the above-mentioned electrical compartment intelligent allocation method, including a smart lamp pole base body 1, a charging area is arranged on the smart lamp pole base body 1, a mobile charging device external compartment 2 and a magnetic wireless charging component 3 are arranged in the charging area, the mobile charging device external compartment 2 includes a charging main compartment 21 and a charging standby compartment 22, the charging main compartment 21 and the charging standby compartment 22 are connected by a slide slot card connection, a power supply groove 211 is arranged at the bottom of the charging main compartment 21, and a main compartment power signal connection contact 21 is arranged on the power supply groove 211 2. A power supply protrusion 221 corresponding to the power supply groove 211 is provided on the top of the charging standby compartment, and a corresponding auxiliary compartment power signal connection contact 222 is provided on the power supply groove 211. When the auxiliary compartment is inserted into the main compartment slide slot, the contact is connected, and the mobile charging device in the auxiliary compartment is powered and used normally. At the same time, it is controlled by the power signal connection contact. A multi-mode power supply device is provided inside the main body 1 of the smart lamp pole base. The multi-mode power supply device is electrically connected to the mobile charging device external compartment 2 and the magnetic wireless charging component 3. The magnetic wireless charging component 3 is used to adsorb and fix the charged device placed on its surface.

[0129] like Figures 2 to 5 As shown, the present embodiment discloses a smart lamp pole base with a multifunctional charging device, including a smart lamp pole base body 1, a charging area is arranged on the smart lamp pole base body 1, a mobile charging device external cabin 2 and a magnetic wireless charging component 3 are arranged in the charging area, the mobile charging device external cabin 2 includes a charging main cabin 21 and a charging standby cabin 22, the charging main cabin 21 and the charging standby cabin 22 are connected by a slide slot card connection, a multi-mode power supply device (not shown) is arranged inside the smart lamp pole base body 1, and the multi-mode power supply device is electrically connected to the mobile charging device external cabin 2 and the magnetic wireless charging component 3.

[0130] The bottom of the main charging cabin 21 is provided with a power supply groove 211, and the power supply groove 211 is provided with a main cabin power signal connection contact 212. The top of the charging standby cabin is provided with a power supply protrusion 221 corresponding to the power supply groove 211, and the power supply groove 211 is provided with a corresponding auxiliary cabin power signal connection contact 222. When the auxiliary cabin is inserted into the main cabin chute, the contact is connected, and the mobile charging device in the auxiliary cabin is powered and used normally, and is controlled by the power signal connection contact;

[0131] The main compartment and the auxiliary compartment of the mobile charging device external compartment each reserve 3 slots for mobile charging devices. The main compartment is connected to the multi-mode power supply device using a flat cable, and a slot and power supply contact for installing the auxiliary compartment are reserved under the main compartment. The auxiliary compartment is a reserved compartment, and when there is a large demand for mobile charging devices, it can be inserted into the auxiliary compartment for borrowing.

[0132] In some embodiments, it also includes a power priority selection controller, a solar cell module, a solar cell status collection sensor, a voltage compensation controller, a battery controller, a battery pack, a closed-loop current controller, and an all-in-one sensor, wherein the power priority selection controller is connected to the solar cell status collection sensor, the solar cell module and the power grid; the solar cell module is connected to the solar cell status collection sensor; the mobile charging device multi-mode power supply device is connected to the solar cell module and the power grid; the voltage compensation controller is connected to the battery controller; the battery controller is connected to the battery pack; the battery pack is connected to the closed-loop current controller; the closed-loop current controller is connected to the all-in-one sensor; the all-in-one sensor is connected to the corresponding mobile charging device, and the information collected by the all-in-one sensor is fed back to the previous stage for use to control the charging method of the mobile charging device.

[0133] The electric energy-solar energy switching implementation embodiment of the present scheme is as follows: the solar cell module collects solar energy and converts it into electric energy for energy storage, and the grid interface is connected to the mains; when the mobile charging device needs power supply, the "electrical energy required" signal is directly transmitted to the multi-mode power supply device through the built-in sensor in real time through a closed loop; after the multi-mode power supply device receives the signal, the power priority selection controller will select an appropriate power supply to power the multi-mode power supply device; under normal circumstances, the electric energy of the solar cell module is selected to store electricity in the battery pack and to power the mobile charging device, but when there is insufficient power, intermittent power generation, volatility and emergencies in solar power generation, the solar cell status collection sensor will feed back the information to the power priority selection controller in real time through a closed loop, and the power priority selection controller will perform corresponding real-time control according to the closed-loop feedback signal, and seamlessly switch to mains power supply.

[0134] Once solar power generation returns to normal, the solar cell status collection sensor will immediately feedback the information in real time through a closed loop, and the controller will immediately switch back to solar energy to supply power to the power supply; the multi-mode power supply equipment that obtains electrical energy adopts dual closed-loop real-time control in the power supply process; according to the power value data sent back by the sensor of the subsequent mobile charging device, the voltage compensation controller performs real-time quantitative analysis of compensation, and the battery controller sends real-time replenishment instructions, and finally the battery replenishes the mobile charging device with an appropriate amount of electricity; the replenished electrical energy is then transmitted to the mobile charging device after the current is stabilized through the current controller and LC filtering; when the mobile charging device does not need power supply, the "no power required" signal is directly transmitted to the multi-mode power supply device through the closed loop through its own sensor.

[0135] The charging system uses a dual power supply method of mains electricity + solar power system mounted on lamp poles, giving priority to solar power supply to reduce carbon emissions. At the same time, it automatically switches between mains electricity and solar power charging according to the use of mobile charging equipment and weather conditions.

[0136] In a third aspect, the present application proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0137] In a fourth aspect, the present application proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0138] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0139] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0140] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0141] In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus / computer equipment and methods can be implemented in other ways. For example, the apparatus / computer equipment embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. Multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of the apparatus or unit, which may be electrical, mechanical or other forms.

[0142] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0144] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present disclosure implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0145] The above are only preferred implementations of the present invention. It should be pointed out that a number of modifications and improved technical solutions made by those skilled in the art without departing from the technical solution should also be regarded as falling within the scope of protection required by this solution.

Claims

1. An intelligent distribution method for electrical compartments applied to smart lamp poles, characterized in that: The following steps are involved: Obtain the remaining storage capacity of mobile charging devices in the electrical compartments of smart lamp poles in each area; Analyzing the number of device borrowing requests received within a preset time period according to the device borrowing requests sent by at least one user terminal in any area; Determine whether the difference between the storage balance of the mobile charging device in the area and the number of device borrowing requests is a positive integer, if so, determine that the area is a supply area, otherwise, determine that the area is a waiting area; Construct an intelligent allocation plan according to the smart lamp pole locations in the area to be dispatched, the number of empty electrical compartments of the smart lamp poles corresponding to the locations, and the smart lamp pole locations in the supply area; According to the intelligent allocation scheme, a dispatch instruction is sent to the supply area, and the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments in the supply area to the area to be dispatched for replenishment.

2. The method according to claim 1, characterized in that: The step of calculating the number of device borrowing requests received within a preset time period according to the device borrowing requests sent by at least one user terminal in any area includes: Get the regional video data corresponding to the device borrowing request; Determine crowd density and crowd location based on regional video data; Determine the regional crowd flow heat map based on crowd density and crowd location; Determine the number of equipment borrowing requests based on the regional passenger flow heat map; According to the heat value of each smart light pole point in the regional crowd flow heat map, sort them from large to small. The heat value represents the crowd density at the current smart light pole point. According to the sorting and preset crowd demand table, the demand for mobile charging equipment at each smart lamp pole point is determined. The crowd demand table includes the number of equipment borrowing requests corresponding to different rankings.

3. The method according to claim 2, characterized in that: The intelligent allocation scheme is constructed according to the smart lamp pole positions in the area to be dispatched, the number of empty electrical compartments of the smart lamp poles corresponding to the positions, and the smart lamp pole positions in the supply area, including: A mobile charging equipment scheduling model is established based on the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area in combination with the artificial potential field method. The mobile charging equipment scheduling model includes establishing a logarithmic gravitational potential field function: in, It represents the coordinates of the mass point that generates the gravitational potential field, that is, the smart light pole point in the area to be dispatched. X represents the coordinates of the virtual mass that is affected by the potential field gravity, that is, the smart light pole point in the supply area. It represents the logarithmic artificial gravitational potential field strength generated by the smart lamp pole points in the area to be dispatched. is the logarithmic artificial gravitational potential field proportional coefficient, express The absolute value of the distance to X; The negative gradient of the logarithmic gravitational potential field function is obtained to obtain the gravitational potential field in which the virtual mass at point X is subjected to The gravitational force of the gravitational field generated by the particle at is: Gravity Find the absolute value and get the virtual mass at the position The absolute value of the gravitational force of the gravitational field particle at is: 。 4. The method according to claim 3, characterized in that: The mobile charging equipment scheduling model also includes calculating the logarithmic gravitational potential field of the preferred replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area; Set the jth smart lamp pole point in the area to be dispatched as the preferred replenishment point ,but The logarithmic artificial gravitational potential field generated at X is: Where X is the coordinate of any smart light pole point in the supply area subject to the gravitational force of the logarithmic potential field, The coordinates of the smart light pole points in the area to be dispatched that generates the gravitational potential field. is the gravitational field strength generated by the smart light pole point in the jth area to be dispatched at point X, for arrive The absolute value of the distance; is the gravitational field coefficient, is the empty cabin impact factor of the j-th smart lamp pole point, and is the logarithm to the base 10 of the number of empty cabins of the charging rack + 1. If the number of empty cabins is 0, The calculation result is 0; if the number of empty cabins is 9, The calculation result is 1, and the expression is as follows: Among them, slots_j is the number of empty slots at the smart light pole point in the jth area to be dispatched; gravitational potential field function Find the negative gradient, and you will get that any smart light pole point in the supply area at position X is affected by The gravity of the smart lamp pole point in the area to be dispatched is: in, Any smart light pole point in the supply area located at X is affected by The attraction of the smart light pole points in the area to be dispatched, for The distance vector to X, for arrive The absolute value of the distance, the gravity of each smart light pole point is determined by the distance and the number of empty cabins of the smart light pole points in the area to be dispatched; Gravity Calculate the absolute value and get the smart lamp pole point in the supply area at position X. The absolute value of gravity of the smart lamp pole point in the area to be dispatched is: in, It is the absolute value of the gravitational force exerted on any smart light pole point in the supply area by the smart light pole point in the jth area to be dispatched.

5. The method according to claim 4, characterized in that: The mobile charging equipment scheduling model also includes calculating the logarithmic gravitational potential field of the second-choice replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area; When the empty compartment in the first choice replenishment point is occupied after being returned and causes scheduling failure, a second selection of replenishment points is required. At this time, the logarithmic gravitational potential field of the second choice replenishment points generated by the smart lamp pole points in the area to be scheduled and the smart lamp pole points in the supply area is calculated; Assume that the i-th smart lamp pole point in the area to be dispatched is the second choice replenishment point ,but The logarithmic artificial gravitational potential field generated at X is: Where X is the coordinate of any smart light pole point in the supply area subject to the gravitational force of the logarithmic potential field, The coordinates of the smart light pole points in the area to be dispatched that generates the gravitational potential field. is the gravitational field strength generated by the smart light pole point in the i-th area to be dispatched at point X, for The absolute value of the distance to X; is the gravitational field coefficient, is the empty cabin impact factor of the i-th smart lamp pole point, and is the logarithm to the base 10 of the number of empty cabins of the charging rack + 1. If the number of empty cabins is 0, The calculation result is 0; if the number of empty cabins is 9, The calculation result is 1, and the expression is as follows: Among them, slots_i is the number of empty slots on the smart light pole point in the i-th area to be dispatched; gravitational potential field function Find the negative gradient, and you will get that any smart light pole point in the supply area at position X is affected by The gravity of the smart lamp pole point in the area to be dispatched is: in, Any smart light pole point in the supply area located at X is affected by The attraction of the smart light pole points in the area to be dispatched, for The distance vector to X, for The absolute value of the distance to X. The gravity of each smart light pole point is determined by the distance and the number of empty cabins of the smart light pole points in the area to be dispatched; Gravity Calculate the absolute value and get the smart lamp pole point in the supply area at position X. The absolute value of gravity of the smart lamp pole point in the area to be dispatched is: in, It is the absolute value of the gravitational force exerted on any smart light pole point in the supply area by the smart light pole point in the i-th area to be dispatched.

6. The method according to claim 5, characterized in that: According to the intelligent allocation scheme, a dispatch instruction is sent to the supply area, wherein the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments in the supply area to the area to be dispatched for replenishment, including: The absolute values ​​of the two logarithmic gravitational forces of the first choice replenishment point and the second choice replenishment point are summed, and the station with the largest sum of the absolute values ​​of gravitational forces is selected as the optimal station for scheduling through cyclic calculation; in, is the gravitational coefficient between the jth smart light pole point in the area to be dispatched and any smart light pole point in the supply area, The gravitational coefficient between the i-th smart light pole point in the area to be dispatched and any smart light pole point in the supply area; According to the optimal site, a dispatch instruction is sent to the supply area, wherein the dispatch instruction is used to instruct the dispatcher to allocate the electrical compartments of the supply area to the area to be dispatched for replenishment.

7. A smart street lamp device applied to the electrical compartment intelligent allocation method according to any one of claims 1 to 6, characterized in that: The invention comprises a smart lamp pole base body (1), wherein the smart lamp pole base body (1) is provided with a charging area, wherein the charging area is provided with a mobile charging device external compartment (2) and a magnetic wireless charging component (3), wherein the mobile charging device external compartment (2) comprises a charging main compartment (21) and a charging standby compartment (22), wherein the charging main compartment (21) and the charging standby compartment (22) are connected by means of a slide slot, wherein a power supply groove (211) is provided at the bottom of the charging main compartment (21), wherein a main compartment power signal connection contact (212) is provided on the power supply groove (211), and wherein a charging standby compartment is provided with a power supply signal connection contact (212). There is a power supply protrusion (221) corresponding to the power supply groove (211), and the power supply groove (211) is provided with a corresponding auxiliary compartment power signal connection contact (222). When the auxiliary compartment is inserted into the main compartment slide slot, the contact is connected, and the mobile charging device in the auxiliary compartment is powered and used normally. At the same time, it is controlled by the power signal connection contact. A multi-mode power supply device is provided inside the main body (1) of the smart lamp pole base. The multi-mode power supply device is electrically connected to the mobile charging device external compartment (2) and the magnetic wireless charging component (3). The magnetic wireless charging component (3) is used to absorb and fix the charged device placed on its surface.

8. The smart street light device according to claim 7, characterized in that: It also includes a power priority selection controller, a solar cell module, a solar cell status collection sensor, a voltage compensation controller, a battery controller, a battery pack, a closed-loop current controller, and an all-in-one sensor. The power priority selection controller is connected to the solar cell status collection sensor, the solar cell module and the power grid; the solar cell module is connected to the solar cell status collection sensor; the mobile charging device multi-mode power supply device is connected to the solar cell module and the power grid; the voltage compensation controller is connected to the battery controller; the battery controller is connected to the battery pack; the battery pack is connected to the closed-loop current controller; the closed-loop current controller is connected to the all-in-one sensor; the all-in-one sensor is connected to the corresponding mobile charging device, and the information collected by the all-in-one sensor is fed back to the previous stage for use to control the charging method of the mobile charging device.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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