A microgrid equipment intelligent control method and system

Abstract

The present invention provides a method and system for intelligent control of microgrid equipment. The method includes: determining each power demand point based on an electronic map, connecting the points to obtain a power demand area; controlling a drone to conduct a terrain survey, dividing the power demand area based on the survey results, and obtaining each power planning area with different power attributes; in response to the power planning area including each equipment unit, selecting the power planning area to obtain a power configuration sub-area, and building each power equipment in the power configuration sub-area based on the power attributes of the power planning area; establishing a scheduled monitoring task based on each power equipment to obtain each power usage within a preset monitoring period, and determining each equipment loss coefficient; sorting each power equipment from large to small based on the loss coefficient of each equipment, and replacing each power equipment in reverse order based on the obtained equipment sequence. The present invention at least improves the configuration efficiency of power equipment.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a method and system for intelligent control of microgrid equipment. Background Art

[0002] In the modern industrial field, special equipment refers to those types of equipment whose operation may pose a high risk to personal safety and property safety. Such equipment includes boilers, pressure vessels (including gas cylinders), pressure piping systems, elevators, lifting and hoisting equipment, passenger ropeways, large amusement facilities, and motor vehicles used exclusively in factories or sites. In addition, there are other types of equipment that are defined as special equipment according to relevant laws and administrative regulations.

[0003] Since most special equipment usually needs to operate under extreme conditions, such as high temperature environment, high pressure state, high speed operation or high-altitude suspension, special equipment not only requires a large amount of power supply, but may also need to configure the corresponding power supply system based on different complex terrains.

[0004] At present, most special equipment relies on municipal electricity for corresponding power supply. Although it can maintain stable power supply demand, since the areas where special equipment are located often have more complex terrain, a large amount of power supply costs may be incurred when constructing corresponding power supply facilities.

[0005] Therefore, how to rationally plan the corresponding power supply facilities according to the different areas where different special equipment are located in order to reduce the corresponding power supply costs has become an urgent problem to be solved. Summary of the invention

[0006] Based on the above problems, the present invention is proposed to provide a microgrid equipment intelligent control method and system that overcomes the above problems or at least partially solves the above problems.

[0007] According to one aspect of the present invention, there is provided a method for intelligently controlling a microgrid device, comprising the following steps:

[0008] Determine each power demand point located on the electronic map based on the electronic map, and connect each power demand point to obtain a power demand area;

[0009] Controlling the drone to fly to the power demand area to conduct a terrain survey, and dividing the power demand area based on the survey results to obtain power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, diesel attributes, or commercial nuclear energy attributes;

[0010] In response to any power planning area including each device unit, the power planning area is selected based on a location optimization strategy to obtain a power configuration sub-area, and each power device for supplying power to each device unit is built in the power configuration sub-area based on the power attributes corresponding to the power planning area;

[0011] Establishing a timed monitoring task based on each power device to obtain the power usage of each power device corresponding to a preset monitoring number of times within a preset monitoring period, and determining the loss coefficient of each device corresponding to each power device based on each power usage;

[0012] The power equipment is sorted from large to small based on the loss coefficient of each equipment, and the power equipment is replaced in reverse order based on the obtained equipment sequence.

[0013] Optionally, in the method according to the present invention, determining each power demand point located on the electronic map based on the electronic map, and connecting each power demand point to obtain a power demand area includes:

[0014] In response to receiving a power distribution request carrying a region code sent by a user terminal, an electronic map corresponding to the region code is retrieved, and a transparent interactive layer is formed that is stacked on the electronic map;

[0015] Sending the electronic map to the user terminal, and determining each power demand point in the electronic map in response to the user terminal's interaction with the transparent interaction layer;

[0016] Determine each power demand point at the edge among each power demand point as an edge point group, and perform point connection based on each power demand point located in the edge point group to obtain a power demand profile;

[0017] Determine a contour center point corresponding to the power demand contour, and use the contour center point as an enlargement reference point and based on the retrieved preset enlargement coefficient to enlarge the contour of the power demand contour to obtain an updated power demand contour;

[0018] An area located in the power demand profile is determined as a power demand area based on the electronic map.

[0019] Optionally, in the method according to the present invention, a drone is controlled to fly to the power demand area to conduct a terrain survey to obtain power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes, including:

[0020] Performing grid processing on the electronic map to obtain various power survey points with the same point spacing;

[0021] Controlling the UAV to fly to the power demand area and measuring the elevation of each power survey point to obtain the elevation of each point corresponding to each power survey point;

[0022] Compare the elevation of each point with the preset mountain top height value of the corresponding mountain top area, and determine the corresponding power survey points greater than or equal to the preset mountain top height value as the mountain top point group, and determine the corresponding power survey points less than the preset mountain top height value as the remaining point group;

[0023] Connecting adjacent power survey points in the mountain top point group to obtain power planning areas having photovoltaic properties;

[0024] Based on a preset trend strategy, the trends of the power survey points located in adjacent positions in the remaining point group are determined, and in response to the power survey points with an undulating trend being determined as a hillside point group, and the power survey points with a gentle trend being determined as a flat slope point group;

[0025] Connecting adjacent power survey points in the hillside point group to obtain power planning areas having wind energy attributes;

[0026] Connecting the adjacent power survey points in the flat slope point group to obtain power planning areas with diesel properties;

[0027] Based on the preset merging strategy, each power planning area is merged based on the enclosing relationship to obtain each power planning area with different power attributes.

[0028] Optionally, in the method according to the present invention, based on a preset trend strategy, the trend of each power survey point located in an adjacent position in the remaining point group is determined, and in response to each power survey point with an undulating trend being determined as a hillside point group, and each power survey point with a gentle trend being determined as a flat slope point group, the method includes:

[0029] Calculating absolute differences of adjacent power survey points in the remaining point group, and comparing the obtained absolute differences with the retrieved preset trend values;

[0030] In response to any absolute difference being greater than the preset trend value, the two power survey points corresponding to the absolute difference are aggregated into a hillside point group;

[0031] In response to any absolute difference being less than or equal to the preset trend value, the two power survey points corresponding to the absolute difference are aggregated into a flat slope point group;

[0032] The power survey points in the remaining point group are grouped and judged. In response to any power survey point being present in both the hillside point group and the flat slope point group, the power survey point is removed from the hillside point group to obtain an updated hillside point group.

[0033] Optionally, in the method according to the present invention, each power planning area is merged based on the enclosing relationship based on a preset merging strategy to obtain each power planning area with different power attributes, including:

[0034] Determining in the electronic map the planning image parts corresponding to the power planning areas, and obtaining the planning image contours corresponding to the planning image parts;

[0035] Performing coordinate processing on the electronic map, obtaining the image coordinate points constituting the electronic map based on the coordinate processing, and determining the image coordinate points constituting the same planning image contour as a contour coordinate group;

[0036] Compare the contour coordinate groups corresponding to the contours of the planning images in pairs, and determine whether there is an encirclement relationship between the contour coordinate groups based on the comparison results;

[0037] Among the planning image contours respectively corresponding to the contour coordinate groups having the same enclosing relationship, the planning image contour located at the periphery is determined as the enclosing image contour;

[0038] Acquire power attributes respectively corresponding to each planning image outline surrounded by the surrounding image outline, and determine each planning image outline having a power attribute different from that of the surrounding image outline as a proportion determination group;

[0039] Acquire the enclosing contour size corresponding to the enclosing image contour and the planning contour sizes corresponding to the planning image contours in the proportion determination group, and calculate the ratio of the enclosing contour size to the planning contour size one by one to obtain the size ratios;

[0040] In response to any size ratio being less than the retrieved preset ratio, the power planning area corresponding to the size ratio is merged into the power planning area to obtain power planning areas with different power attributes.

[0041] Optionally, in the method according to the present invention, in response to any power planning area including each device unit, the power planning area is selected based on the location optimization strategy to obtain a power configuration sub-area, and each power device for supplying power to each device unit is built in the power configuration sub-area based on the power attribute corresponding to the power planning area, including:

[0042] Controlling the drone to collect images of the power demand area, obtaining a regional top view corresponding to the power demand area, and performing image recognition on the regional top view;

[0043] Retrieving the reference pixel value corresponding to the transport aisle, and performing difference calculation between each image pixel value corresponding to each image pixel point located in the upper view of the area and the reference pixel value to obtain each pixel difference;

[0044] Retrieving a preset difference interval, and determining each image pixel point corresponding to each pixel difference in the preset difference interval as a walkway pixel group;

[0045] Connecting pixels of the image pixels located in adjacent positions in the aisle pixel group to obtain aisle areas corresponding to the transport aisles;

[0046] Divide each power planning area having a regional connection relationship with each corridor area into a power configuration area group, and in response to any power planning area located in the power configuration area group including each equipment unit, perform area selection on the power planning area based on a location optimization strategy to obtain each power configuration sub-area;

[0047] Various power devices for supplying power to various equipment units are built in the power configuration sub-area based on the power attributes corresponding to the power planning area.

[0048] Optionally, in the method according to the present invention, in response to any power planning area located in the power configuration area group including each equipment unit, the power planning area is selected based on the location optimization strategy to obtain each power configuration sub-area, including:

[0049] In response to any power planning area in the power configuration area group including each device unit, generating a device circumscribed circle circumscribed to each device unit in the power planning area based on each device unit;

[0050] Determine a circumscribed center point corresponding to a circumscribed circle of the device, and divide the circumscribed circle of the device into equal parts, based on the circumscribed center point, of each divided sub-area having the same number as the retrieved preset number of divisions;

[0051] Determine the number of each device unit included in each divided sub-area, and determine the density of each device corresponding to each divided sub-area based on the number of each unit corresponding to each divided sub-area;

[0052] Arranging the densities of the devices in order to obtain a density sequence in which the number of units is arranged from high to low;

[0053] Based on the density sequence, the first divided sub-area is determined as the planning indication area, and each planning indication area corresponding to each power planning area is obtained;

[0054] Obtaining power sub-data corresponding to each equipment unit in the same power planning area, and assembling each power sub-data to obtain total power data corresponding to each power planning area;

[0055] Calculate the ratio of each total power data with the preset power data of the corresponding power equipment to obtain the power quantities corresponding to each power planning area, and multiply each power quantity with the preset power area of ​​the corresponding power equipment to obtain the power areas corresponding to each power planning area;

[0056] In each power planning area, based on the corresponding external center points, each division indication line is formed to divide each planning indication area equally, and each planning indication point away from each planning indication area and at a preset planning distance from each planning indication area is determined on each division indication line along the extension direction of each division indication line;

[0057] Taking each planning indication point as the center, generating each power configuration indication area, wherein the area of ​​each power configuration indication area is the same as the corresponding power area;

[0058] In response to any power planning area completely including the corresponding power configuration indication area, determining the power configuration indication area as a power configuration sub-area corresponding to the power planning area;

[0059] In response to any power planning area partially including or excluding the corresponding power configuration indication area, based on the density sequence, the divided sub-area corresponding to the device density at the next position is re-determined as the planning indication area, and the corresponding power configuration sub-area is determined;

[0060] In response to any power planning area partially including or not including the power configuration indication areas corresponding to the device densities in the density sequence, the power planning area is removed from the power area configuration group.

[0061] Optionally, in the method according to the present invention, a timed monitoring task is established based on each power device to obtain each power usage of each power device corresponding to a preset monitoring number of times within a preset monitoring period, and each device loss coefficient corresponding to each power device is determined based on each power usage, including:

[0062] Establishing a timed monitoring task based on each power device to obtain each power transmission value included in each power usage situation and each device usage frequency of each power device corresponding to a preset monitoring number within a preset monitoring period;

[0063] Normalizing the power transmission values ​​and the usage frequencies of the devices respectively to obtain transmission reference coefficients and usage reference coefficients;

[0064] Respectively multiplying the transport reference coefficients by the retrieved transport weight values, and the usage reference coefficients by the retrieved usage weight values, to obtain corresponding transport loss coefficients and usage loss coefficients;

[0065] The transmission loss coefficient and the use loss coefficient corresponding to the same electric power equipment are summed up and calculated to obtain the equipment loss coefficients corresponding to the respective electric power equipment.

[0066] Optionally, in the method according to the present invention, each power device is sorted from large to small based on the loss coefficient of each device, and each power device is replaced in reverse order based on the obtained device sequence, including:

[0067] Acquire the power quantity corresponding to each power device, and establish an initial replacement layer, wherein the initial replacement layer includes a first replacement area and a second replacement area arranged horizontally, and a connection indication area located between the first replacement area and the second replacement area, the first replacement area includes each first slot corresponding to the power quantity arranged vertically, and the second replacement area includes each second slot corresponding to the power quantity arranged vertically;

[0068] Based on the equipment loss coefficients corresponding to the respective electric power equipment, the electric power equipment are sorted from large to small to obtain a first equipment sequence including the original equipment numbers;

[0069] Filling each device number into each first slot in the first replacement area in sequence based on the first device sequence, and arranging them in reverse order based on the first device sequence to obtain a second device sequence including each current device number;

[0070] Filling each current device number into each second slot in the second replacement area in sequence based on the second device sequence, and generating each slot indication line connecting each first slot and each second slot in the connection indication area, to obtain a current replacement layer;

[0071] The current replacement layer is sent to the management end, so that the management end completes the reverse order replacement between the devices for each power device based on the current replacement layer.

[0072] According to another aspect of the present invention, there is provided a microgrid equipment intelligent control system, comprising:

[0073] A point connection module is configured to determine each power demand point located on the electronic map based on the electronic map, and connect each power demand point to obtain a power demand area;

[0074] A terrain survey module is configured to control the drone to fly to the power demand area to conduct a terrain survey, and divide the power demand area based on the survey result to obtain power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes;

[0075] The area selection module is configured to select an area of ​​the power planning area based on a location optimization strategy in response to any power planning area including each device unit, obtain a power configuration sub-area, and build each power device for supplying power to each device unit in the power configuration sub-area based on the power attribute corresponding to the power planning area;

[0076] The timing monitoring module is configured to establish a timing monitoring task based on each power device to obtain the power usage of each power device corresponding to the preset monitoring times within a preset monitoring period, and determine the loss coefficient of each device corresponding to each power device based on the power usage;

[0077] The equipment sorting module is configured to sort the power equipment from large to small based on the loss coefficient of each equipment, and to replace the power equipment in reverse order based on the obtained equipment sequence.

[0078] According to the solution of the present invention, the server will first determine each power demand point in the electronic map, and then connect each power demand point to obtain the power demand area. Since different terrains are suitable for building different power equipment, the server will first control the drone to fly to the power demand area for terrain survey, and then divide the power demand area according to the survey results, so as to obtain various power planning areas with different power attributes. When any power planning area includes an equipment unit, the server will select the power planning area according to the location optimization strategy to obtain a power configuration sub-area. Then, according to the power attributes corresponding to the power planning area, each power device that supplies power to each equipment unit is built in the power configuration sub-area. Then, the server will establish a scheduled monitoring task for each power device to obtain the power usage of each power device, and determine the loss coefficient of each device corresponding to each power device based on the power usage. Next, the server will sort the equipment from large to small according to the loss coefficient of each device, so as to obtain the equipment sequence, and replace the equipment in reverse order between each power device according to the equipment sequence. The present invention has certain feasibility and can improve the configuration efficiency of power equipment and the corresponding configuration cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 A flow chart of a method for intelligently controlling a microgrid device according to an embodiment of the present invention is shown;

[0080] Figure 2 A schematic diagram showing a power configuration indication area according to an embodiment of the present invention;

[0081] Figure 3 A structural block diagram of an intelligent control system for microgrid equipment according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0082] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0083] In the modern industrial field, special equipment refers to those types of equipment whose operation may pose a high risk to personal safety and property safety. Such equipment includes boilers, pressure vessels (including gas cylinders), pressure piping systems, elevators, lifting and hoisting equipment, passenger ropeways, large amusement facilities, and motor vehicles used exclusively in factories or sites. In addition, there are other types of equipment that are defined as special equipment according to relevant laws and administrative regulations.

[0084] Since most special equipment usually needs to operate under extreme conditions, such as high temperature environment, high pressure state, high speed operation or high-altitude suspension, special equipment not only requires a large amount of power supply, but may also need to configure the corresponding power supply system based on different complex terrains.

[0085] At present, most special equipment relies on municipal electricity for corresponding power supply. Although it can maintain stable power supply demand, since the areas where special equipment are located often have more complex terrain, a large amount of power supply costs may be incurred when constructing corresponding power supply facilities.

[0086] Therefore, how to rationally plan the corresponding power supply facilities according to the different areas where different special equipment are located in order to reduce the corresponding power supply costs has become an urgent problem to be solved.

[0087] In order to solve the above problems in the prior art, the inventor proposes the solution of the present invention. An embodiment of the present invention provides a method for intelligent control of microgrid equipment, which can be executed in a computing device.

[0088] Figure 1 A flow chart of a method for intelligently controlling a microgrid device according to an embodiment of the present invention is shown. The method is suitable for being executed in a computing device.

[0089] like Figure 1 As shown, the microgrid device intelligent control method proposed in this embodiment starts at step S102. In step S102, the following contents are included:

[0090] Based on the electronic map, each power demand point located on the electronic map is determined, and each power demand point is point-connected to obtain a power demand area.

[0091] For example, in this embodiment, the server first determines each power demand point in the electronic map, and then connects each power demand point to obtain a power demand area.

[0092] Furthermore, the above-mentioned “determining each power demand point located on the electronic map based on the electronic map, and connecting each power demand point to obtain a power demand area” also includes the following steps:

[0093] In response to receiving a power distribution request carrying a region code sent by a user terminal, an electronic map corresponding to the region code is retrieved, and a transparent interactive layer is formed that is stacked on the electronic map;

[0094] Sending the electronic map to the user terminal, and determining each power demand point in the electronic map in response to the user terminal's interaction with the transparent interaction layer;

[0095] Determine each power demand point at the edge among each power demand point as an edge point group, and perform point connection based on each power demand point located in the edge point group to obtain a power demand profile;

[0096] Determine a contour center point corresponding to the power demand contour, and use the contour center point as an enlargement reference point and based on the retrieved preset enlargement coefficient to enlarge the contour of the power demand contour to obtain an updated power demand contour;

[0097] An area located in the power demand profile is determined as a power demand area based on the electronic map.

[0098] For example, in this embodiment, when the user has a power distribution demand, a power distribution request carrying a corresponding area code can be sent to the server. When the server receives the power distribution request, it will retrieve the electronic map corresponding to the area code and form a transparent interactive layer stacked on the electronic map.

[0099] Then, the server will send the electronic map to the user end, and the user end can interact with the transparent interactive layer according to the power distribution demand, that is, click on the location where power distribution is required. At this time, the server will determine the interactive location of the user end as each power demand point in the electronic map.

[0100] Next, the server determines each power demand point at the edge as an edge point group, and connects each power demand point in the edge point group to obtain a power demand profile.

[0101] Since electrical equipment may occupy a certain area, that is, the equipment units located at each power demand point may occupy a certain area, the server will determine the center point of the power demand contour, and use the contour center point as the magnification reference point and magnify the power demand contour based on the preset magnification factor to obtain an updated power demand contour.

[0102] Next, the server will determine the area in the power demand profile as the power demand area in the electronic map, so that the power demand area determined according to the updated power demand profile can completely include the equipment units at each power demand point in the power demand area.

[0103] In step S104, the following contents are included:

[0104] The drone is controlled to fly to the power demand area to conduct a terrain survey, and the power demand area is divided based on the survey results to obtain power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes.

[0105] For example, in this embodiment, different terrains are suitable for installing different power equipment. For example, photovoltaic panels are suitable for installation at the top of a mountain because the photovoltaic panels at the top of a mountain can better receive sunlight.

[0106] Therefore, the server will first control the drone to fly to the power demand area for terrain survey, and then divide the power demand area according to the survey results, so as to obtain various power planning areas with different power attributes, including photovoltaic attributes, wind energy attributes, and diesel attributes.

[0107] Furthermore, the above-mentioned “controlling the drone to fly to the power demand area to conduct terrain survey to obtain various power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes” also includes the following steps:

[0108] Performing grid processing on the electronic map to obtain various power survey points with the same point spacing;

[0109] Controlling the UAV to fly to the power demand area and measuring the elevation of each power survey point to obtain the elevation of each point corresponding to each power survey point;

[0110] Compare the elevation of each point with the preset mountain top height value of the corresponding mountain top area, and determine the corresponding power survey points greater than or equal to the preset mountain top height value as the mountain top point group, and determine the corresponding power survey points less than the preset mountain top height value as the remaining point group;

[0111] Connecting adjacent power survey points in the mountain top point group to obtain power planning areas having photovoltaic properties;

[0112] Based on a preset trend strategy, the trends of the power survey points located in adjacent positions in the remaining point group are determined, and in response to the power survey points with an undulating trend being determined as a hillside point group, and the power survey points with a gentle trend being determined as a flat slope point group;

[0113] Connecting adjacent power survey points in the hillside point group to obtain power planning areas having wind energy attributes;

[0114] Connecting the adjacent power survey points in the flat slope point group to obtain power planning areas with diesel properties;

[0115] Based on the preset merging strategy, each power planning area is merged based on the enclosing relationship to obtain each power planning area with different power attributes.

[0116] For example, in this embodiment, the server will grid the electronic map to obtain various power survey points with the same point spacing. Then, the server will control the drone to fly to the power demand area and measure the elevation of each power survey point in the power demand area, thereby obtaining the point elevation of each power survey point.

[0117] Next, the server will retrieve the preset mountain top height value of the corresponding mountain top area, that is, when the point elevation is greater than or equal to the preset mountain top height value, it means that the power survey point corresponding to the point elevation is located in the mountain top area. Therefore, the server will compare the elevation of each point with the preset mountain top height value, and then determine each power survey point corresponding to a value greater than or equal to the preset mountain top height value as a mountain top point group, and then determine each power survey point corresponding to a value less than the preset mountain top height value as a remaining point group, so that the server can subsequently determine the corresponding point group for each power survey point other than the mountain top point group.

[0118] Then, the server will connect the various power inspection points located in adjacent positions in the mountain top point group. Since the mountain top area is suitable for building photovoltaic panels, the server can obtain various power planning areas with photovoltaic properties after connecting the various power inspection points located in adjacent positions in the mountain top point group.

[0119] Next, the server will determine the trend of each power survey point located in adjacent positions in the remaining point group based on the preset trend strategy. When each power survey point has an ups and downs trend, it means that these power survey points may be located in the hillside area; when each power survey point has a gentle trend, it means that these power survey points may be located in the flat slope area. Therefore, the server will determine each power survey point with an ups and downs trend as a hillside point group, and then determine each power survey point with a gentle trend as a flat slope point group.

[0120] Next, the server will connect the adjacent power inspection points in the hillside point group. Since the hillside terrain can guide the wind flow, increase wind speed and wind force, and improve power generation efficiency, it is suitable for building small wind turbines. Therefore, after the server connects the adjacent power inspection points in the hillside point group, it can obtain various power planning areas with wind energy attributes.

[0121] The server will also connect the various power inspection points located in adjacent positions in the flat slope point group. Since diesel generators need to be built in relatively flat construction areas, flat slope areas are suitable for building diesel generators. Therefore, after the server connects the various power inspection points located in adjacent positions in the flat slope point group, it can obtain various power planning areas with diesel attributes.

[0122] When the server determines the various power planning areas with different power attributes, there may be various power planning areas with an encirclement relationship, that is, a power planning area located on the periphery may have a geographical encirclement relationship with other power planning areas. In this case, the power attributes corresponding to each electronic planning area are generally different, that is, each power planning area needs to be installed with power equipment corresponding to different power attributes to supply power, which will increase the corresponding installation difficulty and the corresponding installation period. In order to reduce the subsequent installation difficulty and installation period of the power equipment, it is possible to determine whether the power planning areas with an encirclement relationship can be merged based on the preset merging strategy, so that the merged power planning area only corresponds to one power attribute, so as to greatly reduce the installation difficulty of the power equipment.

[0123] Furthermore, the above-mentioned "determining the trend of each power survey point located in adjacent positions in the remaining point group based on a preset trend strategy, and determining each power survey point with an undulating trend as a hillside point group, and each power survey point with a gentle trend as a flat slope point group" also includes the following steps:

[0124] Calculating absolute differences of adjacent power survey points in the remaining point group, and comparing the obtained absolute differences with the retrieved preset trend values;

[0125] In response to any absolute difference being greater than the preset trend value, the two power survey points corresponding to the absolute difference are aggregated into a hillside point group;

[0126] In response to any absolute difference being less than or equal to the preset trend value, the two power survey points corresponding to the absolute difference are aggregated into a flat slope point group;

[0127] The power survey points in the remaining point group are grouped and judged. In response to any power survey point being present in both the hillside point group and the flat slope point group, the power survey point is removed from the hillside point group to obtain an updated hillside point group.

[0128] For example, in this embodiment, the server will perform a difference calculation on the elevations of adjacent power survey points in the remaining point group, and then determine the absolute values ​​of the difference results, that is, perform an absolute difference calculation, thereby obtaining the absolute differences.

[0129] Then, the server will compare each absolute difference with the retrieved preset trend value. When the absolute difference is greater than the preset trend value, it means that the elevation difference between the two power survey points corresponding to the absolute difference is too large, that is, the two power survey points may be located in the hillside area; when the absolute difference is less than or equal to the preset trend value, it means that the elevation difference between the two power survey points corresponding to the absolute difference is too small, that is, the two power survey points may be located in the flat slope area.

[0130] Therefore, when any absolute difference is greater than the preset trend value, the server will aggregate the two power survey points corresponding to the absolute difference into the hillside point group; when any absolute difference is less than or equal to the preset trend value, the server will aggregate the two power survey points corresponding to the absolute difference into the flat slope point group.

[0131] Then, the server will group and judge the various power survey points in the remaining point groups. When any power survey point exists in both the hillside point group and the flat slope point group, the server will remove the power survey point from the hillside point group to obtain an updated hillside point group, so that the subsequent server can more clearly build corresponding power equipment according to the power properties of each power survey point.

[0132] Furthermore, the above-mentioned “merging each power planning area based on the enclosing relationship based on the preset merging strategy to obtain each power planning area with different power attributes” also includes the following steps:

[0133] Determining in the electronic map the planning image parts corresponding to the power planning areas, and obtaining the planning image contours corresponding to the planning image parts;

[0134] Performing coordinate processing on the electronic map, obtaining the image coordinate points constituting the electronic map based on the coordinate processing, and determining the image coordinate points constituting the same planning image contour as a contour coordinate group;

[0135] Compare the contour coordinate groups corresponding to the contours of the planning images in pairs, and determine whether there is an encirclement relationship between the contour coordinate groups based on the comparison results;

[0136] Among the planning image contours respectively corresponding to the contour coordinate groups having the same enclosing relationship, the planning image contour located at the periphery is determined as the enclosing image contour;

[0137] Acquire power attributes respectively corresponding to each planning image outline surrounded by the surrounding image outline, and determine each planning image outline having a power attribute different from that of the surrounding image outline as a proportion determination group;

[0138] Acquire the enclosing contour size corresponding to the enclosing image contour and the planning contour sizes corresponding to the planning image contours in the proportion determination group, and calculate the ratio of the enclosing contour size to the planning contour size one by one to obtain the size ratios;

[0139] In response to any size ratio being less than the retrieved preset ratio, the power planning area corresponding to the size ratio is merged into the power planning area to obtain power planning areas with different power attributes.

[0140] For example, in this embodiment, the server will determine the planning image parts corresponding to each power planning area in the electronic map, further obtain the planning image contours corresponding to each planning image part, and coordinate the electronic map. By obtaining the image coordinate points that constitute the electronic map, the image coordinate points that constitute the same planning image contour are determined as a contour coordinate group.

[0141] Then, the server will compare the contour coordinate groups corresponding to the planning image contours in pairs to determine whether there is an encirclement relationship between the contour coordinate groups. When the contour coordinate groups have an encirclement relationship, it means that the planning image contours corresponding to these contour coordinate groups have an encirclement relationship. In order to facilitate the subsequent server to carry out corresponding planning of each power planning area, the server will determine the planning image contours on the periphery of the planning image contours corresponding to the contour coordinate groups with the same encirclement relationship as the encircling image contour, further obtain the power attributes corresponding to the planning image contours surrounded by the encircled image contours, and determine the corresponding planning image contours with power attributes different from the encircling image contours as the proportion determination group;

[0142] Next, by obtaining the enclosing contour size corresponding to the enclosing image contour and the planning contour sizes corresponding to the planning image contours in the proportion determination group, the enclosing contour size can be further calculated with the planning contour sizes one by one to obtain the ratios of the sizes;

[0143] Finally, the pre-stored preset ratios are retrieved, and each size ratio is compared with the preset ratios. When any size ratio is smaller than the preset ratio, it indicates that the power planning area corresponding to the size ratio is smaller. Based on this feature, the power planning area can be merged into the power planning area, and after the merger, the corresponding power attributes should be the power attributes of the power planning area; after completing all the merging operations, the power planning areas with different power attributes can be obtained.

[0144] In step S106, the following contents are included:

[0145] In response to any power planning area including various equipment units, the power planning area is selected based on a location optimization strategy to obtain a power configuration sub-area, and various power equipment for supplying power to various equipment units are built in the power configuration sub-area based on the power attributes corresponding to the power planning area.

[0146] For example, in this embodiment, when any power planning area includes a device unit, the server will select the power planning area according to the location optimization strategy to obtain a power configuration sub-area, and then build various power devices that supply power to each device unit in the power configuration sub-area according to the power attributes corresponding to the power planning area.

[0147] Furthermore, the above-mentioned “in response to any power planning area including each equipment unit, selecting the power planning area based on the location optimization strategy to obtain a power configuration sub-area, and building each power device for supplying power to each equipment unit in the power configuration sub-area based on the power attributes corresponding to the power planning area” also includes the following steps:

[0148] Controlling the drone to collect images of the power demand area, obtaining a regional top view corresponding to the power demand area, and performing image recognition on the regional top view;

[0149] Retrieving the reference pixel value corresponding to the transport aisle, and performing difference calculation between each image pixel value corresponding to each image pixel point located in the upper view of the area and the reference pixel value to obtain each pixel difference;

[0150] Retrieving a preset difference interval, and determining each image pixel point corresponding to each pixel difference in the preset difference interval as a walkway pixel group;

[0151] Connecting pixels of the image pixels located in adjacent positions in the aisle pixel group to obtain aisle areas corresponding to the transport aisles;

[0152] Divide each power planning area having a regional connection relationship with each corridor area into a power configuration area group, and in response to any power planning area located in the power configuration area group including each equipment unit, perform area selection on the power planning area based on a location optimization strategy to obtain each power configuration sub-area;

[0153] Various power devices for supplying power to various equipment units are built in the power configuration sub-area based on the power attributes corresponding to the power planning area.

[0154] For example, in this embodiment, when the transport walkway is not laid to all power planning areas, it may be impossible to transport the power equipment to some power planning areas. Therefore, the server will first determine whether each power planning area is connected to a walkway area for transportation, and then determine the power configuration sub-area.

[0155] First, the server controls the drone to collect images of the power demand area, thereby obtaining a regional top view of the power demand area. Then, the regional top view is image recognized, and the reference pixel value corresponding to the transport aisle is retrieved. Then, the pixel values ​​of each image corresponding to each image pixel point of the regional top view are calculated with the reference pixel value, thereby obtaining the pixel difference.

[0156] Next, the server will retrieve the preset difference interval. When the pixel difference is within the preset difference interval, it means that the image pixel value corresponding to the pixel difference is close to the reference pixel value, that is, the image pixel point corresponding to the image pixel value is located in the aisle area. Therefore, the server will determine each image pixel point corresponding to each pixel difference value in the preset difference interval as the aisle pixel group.

[0157] Then, the server will connect the image pixels in adjacent positions in the aisle pixel group to obtain the aisle areas corresponding to the transport aisles, and then divide the power planning areas that have a regional connection relationship with the aisle areas into the power configuration area group.

[0158] When any power planning area of ​​the power configuration area group includes an equipment unit, the server will select the power planning area based on the location optimization strategy to obtain each power configuration sub-area. Then, according to the power attributes corresponding to the power planning area, each power device that supplies power to each equipment unit is built in the power configuration sub-area, which has a certain feasibility.

[0159] Furthermore, the above-mentioned “in response to any power planning area located in the power configuration area group including each equipment unit, selecting the power planning area based on the location optimization strategy to obtain each power configuration sub-area” also includes the following steps:

[0160] In response to any power planning area in the power configuration area group including each device unit, generating a device circumscribed circle circumscribed to each device unit in the power planning area based on each device unit;

[0161] Determine a circumscribed center point corresponding to a circumscribed circle of the device, and divide the circumscribed circle of the device into equal parts, based on the circumscribed center point, of each divided sub-area having the same number as the retrieved preset number of divisions;

[0162] Determine the number of each device unit included in each divided sub-area, and determine the density of each device corresponding to each divided sub-area based on the number of each unit corresponding to each divided sub-area;

[0163] Arranging the densities of the devices in order to obtain a density sequence in which the number of units is arranged from high to low;

[0164] Based on the density sequence, the first divided sub-area is determined as the planning indication area, and each planning indication area corresponding to each power planning area is obtained;

[0165] Obtaining power sub-data corresponding to each equipment unit in the same power planning area, and assembling each power sub-data to obtain total power data corresponding to each power planning area;

[0166] Calculate the ratio of each total power data with the preset power data of the corresponding power equipment to obtain the power quantities corresponding to each power planning area, and multiply each power quantity with the preset power area of ​​the corresponding power equipment to obtain the power areas corresponding to each power planning area;

[0167] In each power planning area, based on the corresponding external center points, each division indication line is formed to divide each planning indication area equally, and each planning indication point away from each planning indication area and at a preset planning distance from each planning indication area is determined on each division indication line along the extension direction of each division indication line;

[0168] Taking each planning indication point as the center, generating each power configuration indication area, wherein the area of ​​each power configuration indication area is the same as the corresponding power area;

[0169] In response to any power planning area completely including the corresponding power configuration indication area, determining the power configuration indication area as a power configuration sub-area corresponding to the power planning area;

[0170] In response to any power planning area partially including or excluding the corresponding power configuration indication area, based on the density sequence, the divided sub-area corresponding to the device density at the next position is re-determined as the planning indication area, and the corresponding power configuration sub-area is determined;

[0171] In response to any power planning area partially including or not including the power configuration indication areas corresponding to the device densities in the density sequence, the power planning area is removed from the power area configuration group.

[0172] For example, in this embodiment, when any power planning area of ​​the power configuration area group includes a device unit, the server generates a device circumscribed circle capable of accommodating the corresponding device unit in each power planning area according to the position of the device unit.

[0173] Then, the server will determine the circumscribed center point of the corresponding device circumscribed circle and divide the circumscribed circle of each device into the same number of sub-areas as the preset number of divisions according to the circumscribed center point; for example, when the preset number of divisions is set to 4, the server will divide the circumscribed circle of each device into 4 sub-areas based on the circumscribed center point. Figure 2 The circle shown is a device circumscribed circle that is equally divided into four sub-areas.

[0174] Then, the server will determine the device densities corresponding to each divided sub-area according to the number of units included in each divided sub-area, and then arrange the device densities in order to obtain a density sequence arranged from high to low according to the number of units.

[0175] Next, the server will determine the first-placed sub-area as the planning indication area based on the density sequence, further obtain the power sub-data corresponding to each equipment unit in the same power planning area, and assemble the power sub-data to obtain the total power data corresponding to each power planning area; it should be noted that the power sub-data can be understood as the voltage, current and power required for the normal operation of the equipment unit;

[0176] Then, since the subsequent power supply to each equipment unit is based on the corresponding power equipment, and each power equipment can generally only provide rated power, that is, the corresponding preset power data, it is necessary to calculate the ratio of each total power data with the preset power data to determine the power quantity of the corresponding power equipment required for each power planning area. In addition, in the actual installation process, since each power equipment will occupy a certain installation area, it is also necessary to multiply the corresponding power quantity with the preset power area of ​​the corresponding power equipment to obtain the installation area required for each power planning area, that is, the corresponding power areas; it should be noted that, for example, the equipment power data of a power planning area is 1000 watts, and the preset power data is 200 watts, then the number of units in the power planning area is 5; if the preset power area is 1 square meter, then the power area required for the power planning area to build the corresponding 5 power equipment is 5 square meters.

[0177] Under normal circumstances, the constructed power equipment needs to be at a certain distance from the equipment unit to ensure the corresponding power safety. Therefore, the corresponding preset planning distance can be pre-set in the server, and the server will generate a dividing indication line that divides the planning indication area evenly with the external center point as the endpoint, and then determine each planning indication point on each dividing indication line that is far away from each planning indication area and at a preset planning distance from each planning indication area along the extension direction of each dividing indication line, such as Figure 2 The dotted line shown is the dividing indicator line, and the points outside the circle are planning indicator points.

[0178] Then, the server will generate each power configuration indication area with power area with each planning indication point as the center point, such as Figure 2 The rectangle shown is the power configuration indication area.

[0179] After the acquisition of the power configuration indication area is completed, it is also necessary to determine whether the corresponding power configuration indication area is located within the corresponding power planning area, so as to further determine whether the construction of the power equipment can be realized based on the acquired power configuration indication area;

[0180] For example, when any power planning area can completely include the corresponding power configuration indication area, it indicates that the construction of power equipment can be realized later, so the server will set the power configuration indication area as a power configuration sub-area;

[0181] When any power planning area partially includes the corresponding power configuration indication area or does not include the corresponding power configuration indication area, it means that the power configuration indication area is not completely located in the corresponding power planning area, so the power equipment corresponding to the power planning area cannot be built in the power configuration indication area. Therefore, the server will re-determine the sub-area corresponding to the device density at the next position as the planning indication area corresponding to the power planning area based on the aforementioned density sequence, and re-determine each power configuration sub-area;

[0182] When any power planning area partially includes or excludes the power configuration indication areas corresponding to the density of each device in the density sequence, it means that there is no suitable installation location in the power planning area and the power equipment cannot be installed. At this time, the server can remove the power planning area from the aforementioned power configuration group, that is, there is no need to configure the corresponding power equipment for the power planning area in the subsequent process.

[0183] In step S108, the following contents are included:

[0184] A scheduled monitoring task is established based on each power device to obtain the power usage of each power device corresponding to a preset monitoring number of times within a preset monitoring period, and based on each power usage, each device loss coefficient corresponding to each power device is determined.

[0185] For example, in this embodiment, the server will establish a scheduled monitoring task for each power device, that is, obtain the power usage status of each power device corresponding to the preset monitoring times within the preset monitoring period. For example, if the preset monitoring period is 1 hour and the preset monitoring times are 6 times, the server will obtain the power usage status of each power device every ten minutes within 1 hour, for a total of 6 times.

[0186] Then, the server will determine the loss coefficients of each device corresponding to each power device according to the acquired power usage conditions.

[0187] Furthermore, the above-mentioned “establishing a timed monitoring task based on each power device to obtain the power usage of each power device corresponding to the preset monitoring times within a preset monitoring period, and determining the loss coefficient of each device corresponding to each power device based on each power usage” also includes the following steps:

[0188] Establishing a timed monitoring task based on each power device to obtain each power transmission value included in each power usage situation and each device usage frequency of each power device corresponding to a preset monitoring number within a preset monitoring cycle;

[0189] Normalizing the power transmission values ​​and the usage frequencies of the devices respectively to obtain transmission reference coefficients and usage reference coefficients;

[0190] Respectively multiplying the transport reference coefficients by the retrieved transport weight values, and the usage reference coefficients by the retrieved usage weight values, to obtain corresponding transport loss coefficients and usage loss coefficients;

[0191] The transmission loss coefficient and the use loss coefficient corresponding to the same electric power equipment are summed up and calculated to obtain the equipment loss coefficients corresponding to the respective electric power equipment.

[0192] For example, in this embodiment, the server will establish a scheduled monitoring task for each power device, so as to obtain each power transmission value of each power device and the usage frequency of each device corresponding to a preset monitoring number of times within a preset monitoring period.

[0193] Since the measurement units of the power transmission value and the equipment usage frequency are different, the server will normalize each power transmission value and each equipment usage frequency respectively to obtain each transmission reference coefficient and each usage reference coefficient.

[0194] Then, the server will multiply each transmission base coefficient with the retrieved transmission weight value to obtain each transmission loss coefficient, and then multiply each usage base coefficient with the retrieved usage weight value to obtain each usage loss coefficient.

[0195] Finally, the server will sum up the transmission loss coefficient and the use loss coefficient corresponding to the same power equipment, so as to obtain the loss coefficient of each device corresponding to each power equipment.

[0196] This embodiment can determine the corresponding equipment loss coefficient through the power transmission value of the power equipment and the equipment usage frequency, and has a certain degree of accuracy.

[0197] In step S110, the following contents are included:

[0198] The power equipment is sorted from large to small based on the loss coefficient of each equipment, and the power equipment is replaced in reverse order based on the obtained equipment sequence.

[0199] For example, in this embodiment, when the equipment loss coefficient of any power equipment is high, it indicates that the power transmission value and the usage frequency of the power equipment are high, which will cause the service life of the power equipment to be more consumed, and when the equipment loss coefficient of any power equipment is low, it indicates that the power transmission value and the usage frequency of the power equipment are low, which will cause the service life of the power equipment to be less consumed; based on this characteristic, in order to maintain the service life of each power equipment at the same level, the power equipment with a higher corresponding equipment loss coefficient can be replaced with the power equipment with a lower corresponding equipment loss coefficient to improve the overall service life of each power equipment.

[0200] Furthermore, the above-mentioned “sorting the power devices from large to small based on the loss coefficient of each device, and replacing the power devices in reverse order based on the obtained device sequence” also includes the following steps:

[0201] Acquire the power quantity corresponding to each power device, and establish an initial replacement layer, wherein the initial replacement layer includes a first replacement area and a second replacement area arranged horizontally, and a connection indication area located between the first replacement area and the second replacement area, the first replacement area includes each first slot corresponding to the power quantity arranged vertically, and the second replacement area includes each second slot corresponding to the power quantity arranged vertically;

[0202] Based on the equipment loss coefficients corresponding to the respective electric power equipment, the electric power equipment are sorted from large to small to obtain a first equipment sequence including the original equipment numbers;

[0203] Filling each device number into each first slot in the first replacement area in sequence based on the first device sequence, and arranging them in reverse order based on the first device sequence to obtain a second device sequence including each current device number;

[0204] Filling each current device number into each second slot in the second replacement area in sequence based on the second device sequence, and generating each slot indication line connecting each first slot and each second slot in the connection indication area, to obtain a current replacement layer;

[0205] The current replacement layer is sent to the management end, so that the management end completes the reverse order replacement between the devices for each power device based on the current replacement layer.

[0206] For example, in this embodiment, after obtaining the power quantity corresponding to each power device, a corresponding initial replacement layer can be established, wherein the initial replacement layer includes a first replacement area and a second replacement area arranged horizontally, and a connection indication area located therebetween. Further, the first replacement area includes first slots corresponding to the power quantity arranged vertically, and the second replacement area includes second slots corresponding to the power quantity arranged vertically. It should be noted that, here, the power quantity of each power device can be understood as the power quantity corresponding to all power devices in all power planning areas.

[0207] After the initial replacement layer is established, the power equipment can be sorted from large to small based on the aforementioned acquired equipment loss coefficients corresponding to the power equipment, thereby obtaining a first equipment sequence including the original equipment numbers corresponding to the power equipment;

[0208] Secondly, by sequentially filling each device number into each first slot in the first replacement area based on the first device sequence, and arranging the first device sequence in reverse order, a second device sequence including each current device number corresponding to each power device is obtained;

[0209] Next, by sequentially filling each current device number into each second slot located in the second replacement area based on the second device sequence, and generating each slot indication line between each first slot and each second slot in the corresponding connection indication area, the corresponding current replacement layer is obtained; it should be noted that the corresponding slot indication line can be understood as indicating that the two connected power devices need to be replaced accordingly;

[0210] Finally, after obtaining the corresponding current replacement layer, the current replacement layer can be sent to the management end, so that the management section can complete the reverse replacement between the power devices in sequence based on the current replacement layer.

[0211] In addition, in order to enable the management end to know the power transmission value and usage frequency corresponding to each power device in real time, the present embodiment may further include the following method steps:

[0212] Creating a virtual display layer, and dividing the virtual display layer into a first display area and a second display area arranged horizontally;

[0213] Retrieving an interval sequence table, wherein the interval sequence table includes power transmission intervals, device usage intervals, and preset widths corresponding to the power transmission intervals and preset colors corresponding to the device usage intervals arranged in ascending order;

[0214] Forming configuration images corresponding to the power configuration sub-areas in the regional top view, wherein each configuration image includes corresponding power units and power connection lines connecting the power units with corresponding equipment units;

[0215] Based on the interval sequence table, marking each power connection line corresponding to each configuration image with a preset width and marking each power device corresponding to each configuration image with a preset color;

[0216] The marked area upper view is sent to the management terminal for display.

[0217] For example, in this embodiment, the server creates a virtual display layer, and divides the virtual display layer into a first display area and a second display area arranged horizontally.

[0218] Then, the server will form configuration images corresponding to each power configuration sub-area in the regional upper view, and call up the interval sequence table, in which there are power transmission intervals arranged in ascending order and preset widths corresponding to each power transmission interval, and in which there are device usage intervals arranged in ascending order and preset colors corresponding to each device usage interval.

[0219] The server will determine the preset widths corresponding to the power transmission values ​​in the interval sequence table, and mark the corresponding power connection lines with the preset widths according to the preset widths, and determine the preset colors corresponding to the usage frequencies of the devices in the interval sequence table, and mark the corresponding power devices with the preset colors according to the preset colors. After completing the diversified marking of the regional upper view, the server will send the diversified marked regional upper view to the management end for display, so that the management end can obtain information based on the visual dimension on the usage of each power device and achieve the purpose of monitoring each power device.

[0220] According to the solution of the present invention, the server will first determine each power demand point in the electronic map, and then connect each power demand point to obtain the power demand area. Since different terrains are suitable for building different power equipment, the server will first control the drone to fly to the power demand area for terrain survey, and then divide the power demand area according to the survey results, so as to obtain various power planning areas with different power attributes. When any power planning area includes an equipment unit, the server will select the power planning area according to the location optimization strategy to obtain a power configuration sub-area. Then, according to the power attributes corresponding to the power planning area, each power device that supplies power to each equipment unit is built in the power configuration sub-area. Then, the server will establish a scheduled monitoring task for each power device to obtain the power usage of each power device, and determine the loss coefficient of each device corresponding to each power device based on the power usage. Next, the server will sort the equipment from large to small according to the loss coefficient of each device, so as to obtain the equipment sequence, and replace the equipment in reverse order between each power device according to the equipment sequence. The present invention has certain feasibility and can improve the configuration efficiency of power equipment.

[0221] Another embodiment of the present invention provides a microgrid equipment intelligent control system, Figure 3 As the corresponding system block diagram, the system includes:

[0222] A point connection module is configured to determine each power demand point located on the electronic map based on the electronic map, and connect each power demand point to obtain a power demand area;

[0223] A terrain survey module is configured to control the drone to fly to the power demand area to conduct a terrain survey, and divide the power demand area based on the survey result to obtain power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes;

[0224] The area selection module is configured to select an area of ​​the power planning area based on a location optimization strategy in response to any power planning area including each device unit, obtain a power configuration sub-area, and build each power device for supplying power to each device unit in the power configuration sub-area based on the power attribute corresponding to the power planning area;

[0225] The timing monitoring module is configured to establish a timing monitoring task based on each power device to obtain the power usage of each power device corresponding to the preset monitoring times within a preset monitoring period, and determine the loss coefficient of each device corresponding to each power device based on the power usage;

[0226] The equipment sorting module is configured to sort the power equipment from large to small based on the loss coefficient of each equipment, and to replace the power equipment in reverse order based on the obtained equipment sequence.

[0227] In the description provided herein, algorithms and displays are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the examples of the present invention. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to implement the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the preferred embodiment of the present invention.

[0228] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0229] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0230] Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in the devices described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or may be divided into multiple submodules.

[0231] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of submodules or subunits or subcomponents.

[0232] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0233] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions. Therefore, a processor with necessary instructions for implementing the method or method elements forms a device for implementing the method or method elements. In addition, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0234] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved, and is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0235] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is primarily selected for readability and instructional purposes, rather than for explaining or limiting the subject matter of the present invention.

Claims

1. A microgrid equipment intelligent control method, characterized in that: The following steps are involved: Determine each power demand point located on the electronic map based on the electronic map, and connect each power demand point to obtain a power demand area; Controlling the drone to fly to the power demand area to conduct a terrain survey, and dividing the power demand area based on the survey results to obtain power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes; In response to any power planning area including each device unit, the power planning area is selected based on a location optimization strategy to obtain a power configuration sub-area, and each power device for supplying power to each device unit is built in the power configuration sub-area based on the power attributes corresponding to the power planning area; Establishing a timed monitoring task based on each power device to obtain the power usage of each power device corresponding to a preset monitoring number of times within a preset monitoring period, and determining the loss coefficient of each device corresponding to each power device based on each power usage; The power equipment is sorted from large to small based on the loss coefficient of each equipment, and the power equipment is replaced in reverse order based on the obtained equipment sequence.

2. The microgrid equipment intelligent control method according to claim 1, characterized in that: Determining each power demand point located on the electronic map based on the electronic map, and connecting each power demand point to obtain a power demand area, including: In response to receiving a power distribution request carrying a region code sent by a user terminal, an electronic map corresponding to the region code is retrieved, and a transparent interactive layer is formed that is stacked on the electronic map; Sending the electronic map to the user terminal, and determining each power demand point in the electronic map in response to the user terminal's interaction with the transparent interaction layer; Determine each power demand point at the edge among each power demand point as an edge point group, and perform point connection based on each power demand point located in the edge point group to obtain a power demand profile; Determine a contour center point corresponding to the power demand contour, and use the contour center point as an enlargement reference point and based on the retrieved preset enlargement coefficient to enlarge the contour of the power demand contour to obtain an updated power demand contour; An area located in the power demand profile is determined as a power demand area based on the electronic map.

3. The microgrid equipment intelligent control method according to claim 1, characterized in that: The drone is controlled to fly to the power demand area to conduct terrain survey, and various power planning areas with different power attributes are obtained, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes, including: Performing grid processing on the electronic map to obtain various power survey points with the same point spacing; Controlling the UAV to fly to the power demand area and measuring the elevation of each power survey point to obtain the elevation of each point corresponding to each power survey point; Compare the elevation of each point with the preset mountain top height value of the corresponding mountain top area, and determine the corresponding power survey points greater than or equal to the preset mountain top height value as the mountain top point group, and determine the corresponding power survey points less than the preset mountain top height value as the remaining point group; Connecting adjacent power survey points in the mountain top point group to obtain power planning areas having photovoltaic properties; Based on a preset trend strategy, the trends of the power survey points located in adjacent positions in the remaining point group are determined, and in response to the power survey points with an undulating trend being determined as a hillside point group, and the power survey points with a gentle trend being determined as a flat slope point group; Connecting adjacent power survey points in the hillside point group to obtain power planning areas having wind energy attributes; Connecting the adjacent power survey points in the flat slope point group to obtain power planning areas with diesel properties; Based on the preset merging strategy, each power planning area is merged based on the enclosing relationship to obtain each power planning area with different power attributes.

4. The microgrid equipment intelligent control method according to claim 3, characterized in that: Based on a preset trend strategy, the trends of the power survey points located in adjacent positions in the remaining point group are determined, and in response to the power survey points with an undulating trend being determined as a hillside point group, and the power survey points with a gentle trend being determined as a flat slope point group, including: Calculating absolute differences of adjacent power survey points in the remaining point group, and comparing the obtained absolute differences with the retrieved preset trend values; In response to any absolute difference being greater than the preset trend value, the two power survey points corresponding to the absolute difference are aggregated into a hillside point group; In response to any absolute difference being less than or equal to the preset trend value, the two power survey points corresponding to the absolute difference are aggregated into a flat slope point group; The power survey points in the remaining point group are grouped and judged. In response to any power survey point being present in both the hillside point group and the flat slope point group, the power survey point is removed from the hillside point group to obtain an updated hillside point group.

5. The microgrid equipment intelligent control method according to claim 3, characterized in that: Based on the preset merging strategy, each power planning area is merged based on the enclosing relationship to obtain each power planning area with different power attributes, including: Determining in the electronic map the planning image parts corresponding to the power planning areas, and obtaining the planning image contours corresponding to the planning image parts; Performing coordinate processing on the electronic map, obtaining the image coordinate points constituting the electronic map based on the coordinate processing, and determining the image coordinate points constituting the same planning image contour as a contour coordinate group; Compare the contour coordinate groups corresponding to the contours of the planning images in pairs, and determine whether there is an encirclement relationship between the contour coordinate groups based on the comparison results; Among the planning image contours respectively corresponding to the contour coordinate groups having the same enclosing relationship, the planning image contour located at the periphery is determined as the enclosing image contour; Acquire power attributes respectively corresponding to each planning image outline surrounded by the surrounding image outline, and determine each planning image outline having a power attribute different from that of the surrounding image outline as a proportion determination group; Acquire the enclosing contour size corresponding to the enclosing image contour and the planning contour sizes corresponding to the planning image contours in the proportion determination group, and calculate the ratio of the enclosing contour size to the planning contour size one by one to obtain the size ratios; In response to any size ratio being less than the retrieved preset ratio, the power planning area corresponding to the size ratio is merged into the power planning area to obtain power planning areas with different power attributes.

6. The microgrid equipment intelligent control method according to claim 1, characterized in that: In response to any power planning area including each device unit, the power planning area is selected based on the location optimization strategy to obtain a power configuration sub-area, and each power device for supplying power to each device unit is built in the power configuration sub-area based on the power attribute corresponding to the power planning area, including: Controlling the drone to collect images of the power demand area, obtaining a regional top view corresponding to the power demand area, and performing image recognition on the regional top view; Retrieving the reference pixel value corresponding to the transport aisle, and performing difference calculation between each image pixel value corresponding to each image pixel point located in the upper view of the area and the reference pixel value to obtain each pixel difference; Retrieving a preset difference interval, and determining each image pixel point corresponding to each pixel difference in the preset difference interval as a walkway pixel group; Connecting pixels of the image pixels at adjacent positions in the aisle pixel group to obtain aisle regions corresponding to the transport aisles; Divide each power planning area having a regional connection relationship with each corridor area into a power configuration area group, and in response to any power planning area located in the power configuration area group including each equipment unit, perform area selection on the power planning area based on a location optimization strategy to obtain each power configuration sub-area; Various power devices for supplying power to various equipment units are built in the power configuration sub-area based on the power attributes corresponding to the power planning area.

7. The microgrid equipment intelligent control method according to claim 6, characterized in that: In response to any power planning area located in the power configuration area group including each equipment unit, the power planning area is selected based on the location optimization strategy to obtain each power configuration sub-area, including: In response to any power planning area in the power configuration area group including each device unit, generating a device circumscribed circle circumscribed to each device unit in the power planning area based on each device unit; Determine a circumscribed center point corresponding to a circumscribed circle of the device, and divide the circumscribed circle of the device into equal parts, based on the circumscribed center point, of each divided sub-area having the same number as the retrieved preset number of divisions; Determine the number of each device unit included in each divided sub-area, and determine the density of each device corresponding to each divided sub-area based on the number of each unit corresponding to each divided sub-area; Arranging the densities of the devices in order to obtain a density sequence in which the number of units is arranged from high to low; Based on the density sequence, the first divided sub-area is determined as the planning indication area, and each planning indication area corresponding to each power planning area is obtained; Obtaining power sub-data corresponding to each equipment unit in the same power planning area, and assembling each power sub-data to obtain total power data corresponding to each power planning area; Calculate the ratio of each total power data with the preset power data of the corresponding power equipment to obtain the power quantities corresponding to each power planning area, and multiply each power quantity with the preset power area of ​​the corresponding power equipment to obtain the power areas corresponding to each power planning area; In each power planning area, based on the corresponding external center points, each division indication line is formed to divide each planning indication area equally, and each planning indication point away from each planning indication area and at a preset planning distance from each planning indication area is determined on each division indication line along the extension direction of each division indication line; Taking each planning indication point as the center, generating each power configuration indication area, wherein the area of ​​each power configuration indication area is the same as the corresponding power area; In response to any power planning area completely including the corresponding power configuration indication area, determining the power configuration indication area as a power configuration sub-area corresponding to the power planning area; In response to any power planning area partially including or excluding the corresponding power configuration indication area, based on the density sequence, the divided sub-area corresponding to the device density at the next position is re-determined as the planning indication area, and the corresponding power configuration sub-area is determined; In response to any power planning area partially including or not including the power configuration indication areas corresponding to the device densities in the density sequence, the power planning area is removed from the power area configuration group.

8. The microgrid equipment intelligent control method according to claim 1, characterized in that: Establishing a timed monitoring task based on each power device to obtain the power usage of each power device corresponding to a preset monitoring number of times within a preset monitoring period, and determining the loss coefficient of each device corresponding to each power device based on each power usage, including: Establishing a timed monitoring task based on each power device to obtain each power transmission value included in each power usage situation and each device usage frequency of each power device corresponding to a preset monitoring number within a preset monitoring period; Normalizing the power transmission values ​​and the usage frequencies of the devices respectively to obtain transmission reference coefficients and usage reference coefficients; Respectively multiplying the transport reference coefficients by the retrieved transport weight values, and the usage reference coefficients by the retrieved usage weight values, to obtain corresponding transport loss coefficients and usage loss coefficients; The transmission loss coefficient and the use loss coefficient corresponding to the same electric power equipment are summed up and calculated to obtain the equipment loss coefficients corresponding to the respective electric power equipment.

9. The microgrid equipment intelligent control method according to claim 1, characterized in that: The power equipment is sorted from large to small based on the loss coefficient of each equipment, and the power equipment is replaced in reverse order based on the obtained equipment sequence, including: Acquire the power quantity corresponding to each power device, and establish an initial replacement layer, wherein the initial replacement layer includes a first replacement area and a second replacement area arranged horizontally, and a connection indication area located between the first replacement area and the second replacement area, the first replacement area includes each first slot corresponding to the power quantity arranged vertically, and the second replacement area includes each second slot corresponding to the power quantity arranged vertically; Based on the equipment loss coefficients corresponding to the respective electric power equipment, the electric power equipment are sorted from large to small to obtain a first equipment sequence including the original equipment numbers; Filling each device number into each first slot in the first replacement area in sequence based on the first device sequence, and arranging them in reverse order based on the first device sequence to obtain a second device sequence including each current device number; Filling each current device number into each second slot in the second replacement area in sequence based on the second device sequence, and generating each slot indication line connecting each first slot and each second slot in the connection indication area, to obtain a current replacement layer; The current replacement layer is sent to the management end, so that the management end completes the reverse order replacement between the devices for each power device based on the current replacement layer.

10. A microgrid equipment intelligent control system, characterized in that: include: A point connection module is configured to determine each power demand point located on the electronic map based on the electronic map, and connect each power demand point to obtain a power demand area; A terrain survey module is configured to control the drone to fly to the power demand area to conduct a terrain survey, and divide the power demand area based on the survey result to obtain power planning areas with different power attributes, wherein the power attributes include photovoltaic attributes, wind energy attributes, and diesel attributes; The area selection module is configured to select an area of ​​the power planning area based on a location optimization strategy in response to any power planning area including each device unit, obtain a power configuration sub-area, and build each power device for supplying power to each device unit in the power configuration sub-area based on the power attribute corresponding to the power planning area; The timing monitoring module is configured to establish a timing monitoring task based on each power device to obtain the power usage of each power device corresponding to the preset monitoring times within a preset monitoring period, and determine the loss coefficient of each device corresponding to each power device based on the power usage; The equipment sorting module is configured to sort the power equipment from large to small based on the loss coefficient of each equipment, and to replace the power equipment in reverse order based on the obtained equipment sequence.

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