CN116485100B - Intelligent bar planning method, intelligent bar planning system, equipment and storage medium - Google Patents
Intelligent bar planning method, intelligent bar planning system, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides an intelligent rod planning method, an intelligent rod planning system, intelligent rod planning equipment and a storage medium, and belongs to the technical field of intelligent rod planning. The method comprises the following steps: acquiring to-be-upsidedown function point position data, initial intelligent rods and initial function point position data of a target planning area; performing point location combination on the functional point location data to be lifted and the initial functional point location data to obtain initial planning point location data, wherein the initial planning point location data comprises lever combination priority data; planning point location screening is carried out according to the closing priority data to obtain planning point location data and point closing rod states; performing first state judgment on the rod planning state of the candidate intelligent rod, and performing rod combination processing on planning point position data according to a first state judgment result and the point position rod state to obtain candidate rod combination planning data; and performing intelligent rod planning according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data. The method and the device can improve planning layout efficiency of the intelligent pole in the given area.
Description
Technical Field
The application relates to the technical field of intelligent pole planning, in particular to an intelligent pole planning method, an intelligent pole planning system, equipment and a storage medium.
Background
At present, the intelligent pole is a novel composite information infrastructure integrating a plurality of functions such as illumination, video acquisition, mobile communication, traffic management, environmental monitoring, radio monitoring and the like, is an important entrance of information perception interconnection in smart city construction, and is an important carrier for constructing a smart city ubiquitous perception network. The intelligent pole planning layout method in the related art mainly adopts a planning means of adding the mounting functional equipment on the existing lamp pole, but because various mounting functional equipment contains specific equipment characteristics, when the intelligent pole planning is carried out on a given area by adopting the method, the phenomena of difficulty in pole mounting of various mounting functional equipment, inaccurate planning of the mounting equipment and the like are easily caused, so that part of equipment is difficult to pole mounting as expected, and the accuracy and efficiency of intelligent pole planning layout are further affected.
Disclosure of Invention
The main purpose of the embodiment of the application is to provide an intelligent rod planning method, an intelligent rod planning system, equipment and a storage medium, which can rapidly and accurately realize intelligent rod planning layout of a given area, thereby improving the accuracy and efficiency of intelligent rod planning layout.
To achieve the above object, a first aspect of an embodiment of the present application proposes an intelligent bar planning method, including:
acquiring to-be-upsidedown function point position data, initial intelligent rods and initial function point position data of a target planning area, wherein the to-be-upsidedown function point position data are used for representing planning point position data of a preset upsidedown function class, and the initial function point position data are used for representing current point position data which are the same as the preset upsidedown function class of the to-be-upsidedown function point position data;
performing point location combination processing according to the to-be-upscaled function point location data and the initial function point location data to obtain initial planning point location data, wherein the initial planning point location data comprises composite rod priority data;
performing planning point location screening on the initial planning point location data according to the closing priority data to obtain first planning point location data and point closing rod states of the first planning point location data;
taking the initial intelligent rod for planning the functional point position as a candidate intelligent rod, acquiring the rod planning state of the candidate intelligent rod, and carrying out first state judgment on the rod planning state to obtain a first state judgment result;
Carrying out rod combination processing on the first planning point position data according to the first state judgment result and the point position rod state to obtain candidate rod combination planning data of the candidate intelligent rod;
and performing intelligent rod planning processing on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area.
In some embodiments, the performing the merging processing on the first planning point location data according to the first state judgment result and the point merging state to obtain candidate merging planning data of the candidate intelligent rod includes:
acquiring intelligent rod point position data of the candidate intelligent rods, wherein the intelligent rod point position data comprises intelligent rod coordinate data and intelligent rod type information;
performing second state judgment on the point position rod state to obtain a second state judgment result;
carrying out the joint rod planning judgment on the first planning point location data according to the first state judgment result and the second state judgment result to obtain a joint rod planning judgment result;
and carrying out the rod combination processing on the first planning point position data according to the rod combination planning judgment result, the intelligent rod coordinate data and the intelligent rod on-rod type information to obtain the candidate rod combination planning data.
In some embodiments, the first planning point location data further includes planning point coordinate data and planning point function device type data, and performing a rod combining process on the first planning point location data according to the rod combining rule determination result, the intelligent rod coordinate data and the intelligent rod on-rod type information to obtain the candidate rod combining rule data, where the method includes:
if the first state judgment result indicates that the rod planning state is an unplanned state, and the second state judgment result indicates that the point position rod state is an unplanned state, carrying out coordinate replacement on the intelligent rod coordinate data according to the planning point coordinate data, and updating the intelligent rod coordinate data according to the coordinate replacement result;
performing equipment type information replacement on the intelligent pole type information according to the planning point function equipment type data so as to update the intelligent pole type information according to the equipment type information replacement result;
updating the point position rod state to a closed rod state;
and obtaining the candidate composite rod planning data according to the updated intelligent rod coordinate data and the updated intelligent rod on-rod category information.
In some embodiments, the performing the merging processing on the first planning point location data according to the merging planning judgment result, the intelligent rod coordinate data and the intelligent rod on-rod class information to obtain the candidate merging planning data further includes:
if the first state judgment result indicates that the rod planning state is a planned state, and the second state judgment result indicates that the point position rod state is an uncombined state, obtaining combined rod radius data of the first planning point position data;
carrying out coordinate distance calculation on the planning point coordinate data and the intelligent rod coordinate data to obtain resultant rod distance data;
carrying out the composite rod distance judgment on the composite rod distance data according to the composite rod radius data to obtain a composite rod distance judgment result;
if the rod closing distance judging result indicates that the rod closing distance data is smaller than or equal to the rod closing radius data, carrying out category combination on the planning point function equipment type data and the intelligent rod loading category information so as to update the intelligent rod loading category information according to the category combination result;
updating the point position rod state to a closed rod state;
And obtaining the candidate composite rod planning data according to the intelligent rod coordinate data and the updated intelligent rod-on-rod category information.
In some embodiments, before the obtaining the target composite rod planning data of the target planning area according to the candidate composite rod planning data, the method further includes:
performing planning point location screening on the initial planning point location data according to the closing priority data and the first planning point location data to obtain second planning point location data, wherein the second planning point location data is the next data with priority smaller than that of the first planning point location data;
the initial intelligent rod which performs functional point position planning is taken as the candidate intelligent rod again according to the second planning point position data, the rod planning state of the candidate intelligent rod is obtained, and third state judgment is performed on the rod planning state, so that a third state judgment result is obtained;
and carrying out the rod combination processing on the second planning point location data according to the third state judgment result and the point combination rod state of the second planning point location data so as to update the candidate rod combination planning data according to the rod combination processing result.
In some embodiments, the performing intelligent rod planning processing on the candidate intelligent rod according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area includes:
Performing data priority judgment on the second planning point location data according to the closing priority data to obtain a priority judgment result;
if the priority judging result indicates that the priority data corresponding to the currently identified second planning point position data is located at the tail of the rod combining priority data, fourth state judgment is carried out on the candidate intelligent rods according to the rod planning state, and a fourth state judging result is obtained;
if the fourth state judgment result indicates that the rod planning state is an unplanned state, planning point position calculation is carried out on the candidate composite rod planning data according to a preset rejection function, and a planning point position value is obtained;
and performing intelligent rod planning processing on the candidate intelligent rods according to a preset planning point position threshold value and the planning point position value to obtain a target intelligent rod, and obtaining target composite rod planning data according to the target intelligent rod.
In some embodiments, after the smart rod planning process is performed on the candidate smart rod according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area, the method further includes:
acquiring planning equipment information of the target planning area according to the target closing rod planning data to obtain target planning functional equipment and preset load data of the target planning functional equipment;
And carrying out equipment load calculation on the target planning area according to the equipment number of the target planning functional equipment and the preset load data to obtain intelligent rod planning load data.
To achieve the above object, a second aspect of the embodiments of the present application proposes an intelligent pole planning system, the system comprising:
the system comprises a point data acquisition module, a point data processing module and a point data processing module, wherein the point data acquisition module is used for acquiring to-be-upscaled function point data, initial intelligent rod and initial function point data of a target planning area, the to-be-upscaled function point data are used for representing planning point data of a preset upscaling function class, and the initial function point data are used for representing current point data which are the same as the preset upscaling function class of the to-be-upscaling function point data;
the point position merging module is used for carrying out point position merging processing according to the to-be-lifted functional point position data and the initial functional point position data to obtain initial planning point position data, wherein the initial planning point position data comprises rod merging priority data;
the planning point position screening module is used for carrying out planning point position screening on the initial planning point position data according to the closing priority data to obtain first planning point position data and point position closing rod states of the first planning point position data;
The state judging module is used for taking the initial intelligent rod for planning the functional point position as a candidate intelligent rod, obtaining the rod planning state of the candidate intelligent rod, and judging the first state of the rod planning state to obtain a first state judging result;
the rod combination processing module is used for carrying out rod combination processing on the first planning point position data according to the first state judgment result and the point combination rod state to obtain candidate rod combination planning data of the candidate intelligent rod;
and the intelligent rod planning processing module is used for carrying out intelligent rod planning processing on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area.
To achieve the above object, a third aspect of the embodiments of the present application proposes an electronic device, which includes a memory storing a computer program and a processor implementing a method according to any one of the first aspects of the embodiments of the present application when the processor executes the computer program.
To achieve the above object, a fourth aspect of the embodiments of the present application further proposes a computer readable storage medium storing a computer program, which when executed by a processor implements a method according to any one of the first aspects of the embodiments of the present application.
According to the intelligent rod planning method, the intelligent rod planning system, the intelligent rod planning device and the storage medium, first, the to-be-upsidedown function point position data, the initial intelligent rod and the initial function point position data of the target planning area are obtained, the to-be-upsidedown function point position data are used for representing planning point position data of one upsidedown function type, and the initial function point position data are used for representing current state point position data identical to the upsidedown function type of the to-be-upsidedown function point position data. And then, carrying out point location merging processing according to the to-be-upscaled function point location data and the initial function point location data to obtain initial planning point location data, wherein the initial planning point location data comprises the rod merging priority data. And carrying out planning point location screening on the initial planning point location data according to the closing priority data to obtain first planning point location data and a point closing rod state of the first planning point location data. And then, taking the initial intelligent rod for planning the functional point position as a candidate intelligent rod, acquiring the rod planning state of the candidate intelligent rod, and carrying out first state judgment on the rod planning state to obtain a first state judgment result. And carrying out rod combination processing on the first planning point position data according to the first state judgment result and the point combination rod state to obtain candidate rod combination planning data of the candidate intelligent rod. And finally, performing intelligent rod planning processing on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of a target planning area. According to the intelligent rod planning layout method and device, intelligent rod planning layout of a given area can be achieved rapidly and accurately, and therefore accuracy and efficiency of intelligent rod planning layout are improved.
Drawings
FIG. 1 is a first flow chart of a smart rod planning method provided by an embodiment of the present application;
FIG. 2 is a flowchart of a specific method of step S150 in FIG. 1;
FIG. 3 is a first flowchart of a specific method of step S240 in FIG. 2;
FIG. 4 is a second flowchart of a specific method of step S240 in FIG. 2;
FIG. 5 is a second flowchart of a smart rod planning method provided by an embodiment of the present application;
FIG. 6 is a flowchart of a specific method of step S160 in FIG. 1;
FIG. 7 is a third flowchart of a smart rod planning method provided by an embodiment of the present application;
FIG. 8 is a block diagram of a modular architecture of a smart pole planning system provided in an embodiment of the present application;
fig. 9 is a schematic hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application.
First, several nouns referred to in this application are parsed:
intelligent pole: the intelligent bar is composed of a bar body, a foundation ground cage, a cross arm, an equipment bin, an intelligent door lock and other modules, can be used for mounting more than two kinds of equipment, and is a novel infrastructure capable of continuously generating or receiving information flow.
At present, the intelligent pole is a novel composite information infrastructure integrating a plurality of functions such as illumination, video acquisition, mobile communication, traffic management, environmental monitoring, radio monitoring and the like, is an important entrance of information perception interconnection in smart city construction, and is an important carrier for constructing a smart city ubiquitous perception network. Compared with the street lamp pole, the multifunctional intelligent pole has great difference and higher requirements on the pole body, mounting equipment and supporting infrastructure. The multifunctional intelligent rod consists of a rod body, a foundation ground cage, a cross arm, an equipment bin, an intelligent door lock and other modules, wherein the equipment bin is used for power distribution, communication, lightning protection, grounding and the like.
The intelligent pole planning layout method in the related art mainly adopts a planning means of adding the mounting functional equipment on the existing lamp pole, but because various mounting functional equipment contains specific equipment characteristics, when the intelligent pole is planned in a given area by adopting the method, various mounting functional equipment are easy to cause the phenomena of difficult pole mounting and the like, so that part of equipment is difficult to pole mounting as expected, and the planning layout efficiency of the intelligent pole is further affected.
Based on the above, the intelligent rod planning method, the intelligent rod planning system, the intelligent rod planning equipment and the storage medium provided by the embodiment of the application can rapidly and accurately realize intelligent rod planning layout of a given area, so that the accuracy and the efficiency of intelligent rod planning layout are improved.
The embodiment of the application provides an intelligent rod planning method, which relates to the technical field of computers. The intelligent rod planning method provided by the embodiment of the application can be applied to the terminal, can also be applied to the server side, and can also be software running in the terminal or the server side. In some embodiments, the terminal may be a smart phone, tablet, notebook, desktop, or smart watch, etc.; the server can be an independent server, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDNs), basic cloud computing services such as big data and artificial intelligent platforms, and the like; the software may be an application or the like that implements the smart bar planning method, but is not limited to the above form.
The subject application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
Referring to fig. 1, fig. 1 is an optional flowchart of a smart pole planning method according to an embodiment of the present application. In some embodiments of the present application, the method includes, but is not limited to, steps S110 to S160, which are described in detail below in conjunction with fig. 1.
Step S110, obtaining to-be-upsidedown function point position data, initial intelligent pole and initial function point position data of a target planning area;
step S120, carrying out point location combination processing according to the to-be-lifted functional point location data and the initial functional point location data to obtain initial planning point location data, wherein the initial planning point location data comprises rod combination priority data;
step S130, performing planning point location screening on the initial planning point location data according to the rod combination priority data to obtain first planning point location data and a point combination rod state of the first planning point location data;
step S140, taking the initial intelligent rod for performing functional point position planning as a candidate intelligent rod, acquiring the rod planning state of the candidate intelligent rod, and performing first state judgment on the rod planning state to obtain a first state judgment result;
step S150, carrying out rod combination processing on the first planning point position data according to the first state judgment result and the point combination rod state to obtain candidate combination rod planning data of candidate intelligent rods;
and step S160, intelligent rod planning processing is carried out on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data, and target composite rod planning data of a target planning area are obtained.
It should be noted that, the important city perception system of smart city construction is a city perception system, including content such as perception object, perception data architecture, perception data model, perception data treatment, and the perception object is environment, object and target object, and the equipment on perception layer mainly includes camera, light sensor, temperature sensor, mobile device, location service etc. is suitable for the small-size equipment of hanging on multi-functional intelligent pole relatively. However, the existing multifunctional intelligent pole layout method generally adopts the current existing lamp pole mounting function as a planning means, so that the problems of disconnection of the pole body function and the land function around the road, disconnection of the pole body function and the matched facilities, and point distribution technology method are not systematic and the like are easily caused. Therefore, the intelligent city perception network construction requirement planning method and system based on the intelligent city perception network construction requirement deep understanding combines the land parcel planning function and the mounting equipment technical parameters, actively predicts the intelligent city perception requirement in the planning range and completes the pole address distribution, and can effectively solve the problems that pole address selection is too dependent on the current situation of a street lamp pole, pole-mounting function selection is too subjective, mounting function feasibility and expansibility are poor in the existing planning design technology. In addition, the embodiment of the application can be better suitable for the area in the road setting range, and the pole-mounting equipment function of each multifunctional intelligent pole can be rapidly and accurately planned.
In step S110 of some embodiments, in order to fully consider the sensitivity degree of all the pole setting devices to the pole body position and the technical layout requirement of the pole setting devices, first, the to-be-pole function point location data, the initial intelligent pole and the initial function point location data of the target planning area are obtained, that is, the potential pole setting function actually required to be mounted on the intelligent pole is obtained. The to-be-upscaling function point location data is used for representing planning point location data of one upscaling function category selected in advance by the target object. The initial function point location data is used for representing current point location data which is the same as the upswing function category of the to-be-upswing function point location data, and the current point location data is used for representing data collected on current equipment which is independently built. For example, the present device includes a street lamp device, and other functional devices are not mounted on the street lamp device, and coordinate data collected by the street lamp device is used as initial functional point location data.
It should be noted that, the to-be-upsidedown function point location data determined by the application may be obtained by selecting from a plurality of preset upsidedown function devices, or may be obtained by a new upsidedown function device that is typed in by the target object according to actual needs. For example, the planned and up-link functions corresponding to the point location data of the to-be-up-link function supported by the embodiment of the present application may be shown in the following table 1, where the function device screened by the target object is used as the planned and up-link function of the multi-functional intelligent lever layout plan at this time, and each planned and up-link function is numbered in the alphabetical order of uppercase a to K, and the name of the function device, the number of the function device and whether to enable the function device corresponding to the planned and up-link function are shown in table 1.
| Function device name | Functional device numbering | Whether or not to enable |
| Intelligent lighting (street lamp) | A | Target object selection |
| Communication base station | B | Target object selection |
| Monitoring alarms | C | Target object selection |
| Intelligent traffic (Signal lamp) | D | Target object selection |
| Intelligent traffic (electronic eye) | E | Target object selection |
| Sign label | F | Target object selection |
| Meteorological monitoring | G | Target object selection |
| Intelligent environment | H | Target object selection |
| Intelligent water affair | I | Target object selection |
| Emergency early warning big horn | J | Target object selection |
| Others | K | Autonomous typing |
TABLE 1
It should be noted that, after the screening of the pole-setting function device is completed, the current status data of the pole-setting function device needs to be collected, that is, initial intelligent pole and initial functional point location data of the initial intelligent pole are obtained, and the initial intelligent pole is used for characterizing the current status device proposed by the above embodiment. The device functions selected in the embodiments of the present application are not limited to those shown in table 1, and may be selected according to actual needs, which are not described herein.
It should be noted that, for example, when the intelligent rod planning method is set in the terminal, the initial function point location data and the to-be-added function point location data may be input into the terminal in an excel table form to execute the intelligent rod planning method, and the same function point location forms 1 independent excel table. In each excel table, each row is related information of the same device, the information of the same device only appears in one row, each column of the table stores the information of the same type, and one type of information only appears in the same column.
It should be noted that, according to the to-be-upscaling function and the initial typing function selected by the target object, the embodiment of the present application may provide an excel input channel for the target object with the corresponding function device name as an index. Therefore, the excel table corresponding to the to-be-upscaled functional point location data and the initial functional point location data provided by the target object may include at least two columns of information in sequence, which are respectively an x coordinate and a y coordinate, and the x coordinate and the y coordinate may be represented by a CGCS2000 coordinate.
After the initial function point location data reflecting the current situation is obtained, the current situation function layer may be drawn according to the initial function point location data. Specifically, after the target object inputs an excel table corresponding to the initial function point location data, the embodiment of the application can form a target current situation layer of various upper pole function devices in the target planning area according to coordinate values in the excel table. Each excel table correspondingly forms a unit current situation layer, and the unit current situation layer can provide visual display of current situation distribution of the upper pole function equipment in the target planning area for the target object. In addition, the name of each unit current layer can be determined according to the upper bar function corresponding to the excel table input by the target object.
After the to-be-upsidedown functional point position data of the target planning area is obtained, a planning layer can be drawn according to the target planning area and the to-be-upsidedown functional point position data to obtain a planning layer, and the planning layer comprises a planning base map and an upsidedown functional planning sub-layer. Specifically, the planning floor is used to determine the extent of the target planning area, identify the road area in the target planning area, and assist in drawing the planning layer. The planning base map is a Cad file of a control detailed planning and urban construction land density partition guiding map in a target planning area range, and the Cad file can adopt CGCS2000 coordinates. The Cad file contains planned road red lines, planned road center lines, planned land block attribute information and the like in the range of the target planning area. The pole up function planning sub-layer may be automatically generated in combination with the planning pole up functions and corresponding preset function planning principles as shown in table 1. And according to the target object selection and the autonomous keying content of the target object, automatically generating a planning layer of each type of pole function equipment in the target planning area, wherein the pole function planning sub-layer can provide the target object with visual display of planning distribution of the pole function equipment in the target planning area. For example, the functional device is "intelligent lighting (street lamp)", and the corresponding preset function planning principle may be "on the basis of the intelligent lighting status map layer, the intelligent lighting is not arranged on two sides of the road along the direction parallel to the central line of the road, and the point location distance is 35 meters"; for example, the function device is a "communication base station", and the corresponding preset function planning principle may be "on the basis of the current layer of the communication base station," the communication base station is complementarily planned, the point location distance is based on the density partition guidance chart of the city construction in the target planning area, the distance between the first area and the second area is 100 meters, the distance between the second area and the second area is 500 meters, the distance between the third area and the second area is 400 meters, the distance between the second area and the second area is 600 meters ", etc., where the preset function planning principle corresponding to each of the pole-setting planning functions is not specifically limited, and is not repeated herein.
It should be noted that, each planning layer in the present application forms an excel table corresponding to the functional point location data to be put on the pole at the same time, and the same functional point location forms 1 independent excel table. In each table, each row is related information of the same device, the information of the same device only appears in one row, each column of the table stores information of the same type, and one type of information only appears in the same column. Meanwhile, the excel table may include at least two columns of information in order, respectively, an x coordinate and a y coordinate, and the x coordinate and the y coordinate may be represented by CGCS2000 coordinates.
It should be noted that, the embodiment of the present application further includes: the target object imports an excel table corresponding to the to-be-upscaled functional point location data to a terminal or a server side containing the intelligent rod planning method, and the combined rod priority data corresponding to the initial planning point location data is determined by integrating two dimensions of the rod address sensitivity and the functional scale.
According to the method and the device for planning the intelligent pole, the problem that the existing method leads the planning layout with the existing pole-up demand can be avoided, planning guidance can be conducted by combining the emerging pole-up function point location data to be achieved, and the expansibility of intelligent pole planning is improved.
In step S120 of some embodiments, in order to perform point location planning on the functional point location data to be lifted and the initial functional point location data at the same time, accurate planning of the target planning area is achieved. Specifically, performing point location merging processing according to the to-be-upsidedown function point location data and the initial function point location data, namely, performing quantity summation on the quantity of to-be-upsidedown function point location data and the quantity of the initial function point location data of the same upsidedown function class, and obtaining the planning point location quantity of each class of upsidedown function in the target planning area. And taking the combined point location data as initial planning point location data to obtain the number of planning point locations and the initial planning point location data corresponding to each upper pole function category.
It should be noted that, in the embodiment of the present application, after each layer is converted into an excel table, the priority of integration of various types of upper pole function devices may be determined by integrating two dimensions of the pole address sensitivity and the function scale, so as to determine the pole combining priority data corresponding to the initial planning point location data. Specifically, the functional scale weight ordering is: and sequencing the planned point positions of each upper pole function class in the target planning area from large to small according to the number of the planned point positions, and giving a point position weight value corresponding to the initial planned point position data according to the sequencing position. When the number of planning points of the initial planning point position data is larger, the ordering is more forward, and the weight score is higher. For example, the target object selects N types of up-link functions in the smart bar program, including function a, function B, and function N. Therefore, the weight score of the pole up function with the largest number of planning points can be set as n; the upper pole function with the second most planning point positions can be set as n-1 in the corresponding weight score, and the upper pole function with the least planning point positions can be set as 1 in the analogized manner. The joint rod radius weight ordering is as follows: the target object is entered into the function device while simultaneously entering the blend-lever radius. The resultant radius is the maximum distance that the functional device can still perform its intended function from its ideal coordinates. Wherein, the smaller the radius of the combined rod, the more sensitive the reaction equipment is to the installation position, namely the higher the sensitivity of the rod address. And ordering the upper rod functions from small to large based on the rod combining radius, and giving the upper rod functions with address sensitivity weight scores according to the ordering, wherein the weight scores are higher when the ordering is earlier. For example, the target object selects N types of up-link functions in the smart bar program, including function a, function B, and function N. Therefore, if the joint lever radius of a certain upper lever function is minimum, the joint lever radius weight can be set as n minutes; if the joint radius of a certain upper pole function is the same as the minimum joint radius in the upper pole function pole address sensitivity sequencing, the joint radius weight corresponding to the upper pole function is also divided into n; if the combined rod radius of a certain upper rod function is arranged in the third position and the combined rod radius is larger than the minimum combined rod radius in the sorting, the combined rod radius weight corresponding to the upper rod function can be set to be n-1 minutes, and so on.
It should be noted that, if the target object is not keyed into the lever closing radius of the functional device, the lever closing radius is a preset default distance, and the target object may flexibly adjust the default distance and the keyed lever closing radius according to actual needs, which is not limited herein.
It should be noted that, the present application may determine the integrated priority of various upper pole functional devices by integrating the two dimensions of the pole address sensitivity and the functional scale, that is, determine the combined pole priority data corresponding to the initial planning point location data. Specifically, after the function scale weights and the lever closing radius weights corresponding to various lever-up functions are obtained, the lever closing radius weights corresponding to various lever-up function devices are sorted according to the lever closing radius weights, and the higher the score is, the higher the corresponding priority is. When the two types of upper pole function devices have the same combined pole radius weight, the higher the function scale weight is, the higher the priority weight of the corresponding upper pole function device is, and the combined pole priority data corresponding to the initial planning point position data with the highest priority weight is set to be 1, and the like, and no repeated description is given here. The pole function carries out weighted analysis on the sensitivity of the position, and the pole address position is determined by the function with the highest position sensitivity.
In step S130 of some embodiments, first, planning point positions are ordered on the initial planning point position data to obtain a planning point position sequence. To more fully program each initial programming point location data. And selecting initial planning point position data with highest rod combining priority data from the planning point position sequence. And taking the initial planning point location data with the highest priority data as first planning point location data, and acquiring the point location status of the first planning point location data, wherein the first planning point location data is used for representing the point location data planned for the function equipment with the highest priority. The point-closing rod state is used for indicating whether the first planning point-closing operation is performed on the first planning point data, and comprises an unoccluded state and an occluded state, wherein the unoccluded state can be marked as 0, and the occluded state can be marked as 1.
In step S140 of some embodiments, the target planning area includes a plurality of initial smart rods that need to be functional point location planned. And taking the initial intelligent rod for performing functional point position planning as a candidate intelligent rod, and determining the rod planning state according to the intelligent rod coordinate data of the candidate intelligent rod. The intelligent rod coordinate data comprise intelligent rod abscissa data and intelligent rod ordinate data, namely if the intelligent rod abscissa data of the candidate intelligent rod is 0, the candidate intelligent rod does not contain any functional point position data at the moment; if the intelligent rod abscissa data of the candidate intelligent rod is not 0, the candidate intelligent rod is indicated to already contain at least one functional point location data. In the embodiment of the application, the point position matrix of the multifunctional intelligent pole is marked as [ MP ], wherein [ MP ] is a matrix of m rows and 3 columns, m represents the number of candidate intelligent poles, and m is a positive integer. Specifically, when the initial [ MP ] matrix is a zero matrix and each candidate intelligent rod is subjected to intelligent rod planning, if the data of the candidate intelligent rod in the first column in the initial [ MP ] is identified to be 0, it can be determined that any rod combination point position data is not planned on the candidate intelligent rod currently. And executing intelligent rod planning of the application on the candidate intelligent rod by traversing the first planning point position data of which the point position rod combination state is the non-rod combination state. After a functional device corresponding to the first planning point position data is planned on the candidate intelligent pole, the data of the candidate intelligent pole in the first column in the initial [ MP ] is the abscissa value of the planning point of the functional device.
In step S150 of some embodiments, in order to effectively avoid the problem that the function sensitive to the pole address cannot utilize the street lamp pole address guide to perform pole setting separately, the embodiments of the present application perform pole combination processing on the obtained first planning point location data according to the first state judgment result and the point combination pole state, so as to obtain candidate pole combination planning data of the candidate intelligent pole, where the candidate pole combination planning data is used to represent the functional point location data on the planned candidate intelligent pole. In order to ensure the accuracy of point location planning, the first planning point location data is removed from the planning point location sequence after the first planning point location data is planned, and the point location data with the highest next priority is selected according to the rod combination priority data to carry out rod combination processing on the initial planning point location data formed by the current situation of all the rod-up functions and the planning point locations.
Referring to fig. 2, fig. 2 is a flowchart of a specific method of step S150 according to an embodiment of the present application. In some embodiments of the present application, step S150 may specifically include, but is not limited to, steps S210 to S240, and these four steps are described in detail below in conjunction with fig. 2.
Step S210, intelligent rod point position data of candidate intelligent rods are obtained, wherein the intelligent rod point position data comprises intelligent rod coordinate data and intelligent rod type information;
Step S220, performing second state judgment on the point-alignment rod state to obtain a second state judgment result;
step S230, carrying out the composite rod planning judgment on the first planning point location data according to the first state judgment result and the second state judgment result to obtain a composite rod planning judgment result;
and step S240, carrying out the rod combination processing on the first planning point location data according to the rod combination planning judgment result, the intelligent rod coordinate data and the intelligent rod on-rod category information to obtain candidate rod combination planning data.
In step S210 of some embodiments, the point location matrix [ MP ] of the multifunctional smart bar]Is a matrix of m rows and 3 columns. Wherein each row of data represents intelligent pole point location data of one candidate intelligent pole. Wherein the matrix [ MP ]]Each element in the first column of (2) is a numerical value, and is used for representing the intelligent bar abscissa data of the intelligent bar coordinate data, which is marked as X a A=1, 2, …, m, a represents the dot number of the candidate intelligent pole, and the dot number corresponds to the row where the data is located. [ MP ]]Each element in the second column of (2) is a numerical value, and is used for representing the ordinate data of the intelligent rod, which is marked as Y a ，a＝1，2，…，m；[MP]Each element in the third column of (2) is a row vector [ G ] ] a And the method is used for representing the type and the number of the upper bar functions of each candidate intelligent bar. Wherein, the initial [ MP ]]All elements in the matrix have an initial value of 0 or 0]。
Note that, if the upper bar function class includes the function devices a to Q, it is denoted as [ G ]] a = [ number of function devices a, number of function devices B, number of function devices C, …, number of function devices Q]And the column number of the row vector is determined by the number of the functional point positions determined by the target object in the target planning area. For example, if [ MP]Only one set of functional equipment A and one set of functional equipment Q are planned to be assembled on the first candidate intelligent pole in the matrix, [ MP ]]The third column may be denoted as [ G ]] 1 ＝[1，0，0，…，1]. Therefore, the point location matrix [ MP ] of the multifunctional intelligent pole of the embodiment of the application]Can be expressed as shown in formula (1).
In step S220 and step S230 of some embodiments, a second state judgment is performed on the point-closing rod state of the first planning point-closing data for closing rod planning, so as to obtain a second state judgment result, where the second state judgment result is used for judging whether the first planning point-closing data has been closed onto other intelligent rods. And then, carrying out the joint rod planning judgment on the first planning point position data according to the first state judgment result and the second state judgment result, wherein the joint rod planning judgment is used for judging whether the first planning point position data is the first functional point position planned on the candidate intelligent rod or not, so that different planning methods are adopted.
In step S240 of some embodiments, the embodiments of the present application determine, according to the result of the composite rod planning determination, whether there is a functional device on the current candidate smart rod. When the candidate intelligent pole performs planning on the first planning point location data, namely functional equipment corresponding to the first planning point location data exists, the coordinate data of the candidate intelligent pole can be determined. The candidate combined rod planning data are used for representing coordinate data and function category information after the candidate intelligent rod combined rod planning.
It should be noted that, in the embodiment of the present application, the upper-pole functional point location matrix for planning is obtained according to the initial planning point location data obtained by merging, and is denoted as [ F ]]. When the point position combination is carried out according to the point position data of the function to be put on the pole and the initial function point position data, the sum of all the point position data in the target planning area is determined to be n, and then the point position matrix [ F ] of the function to be put on the pole]Is a matrix of n rows and 6 columns, and m is less than n. Matrix [ F]Each row in the matrix corresponds to an initial programming point location data, and the matrix [ F]The priority weights for the lever-closing priority data according to the above embodiments are ordered from high to low, and the equivalent priority weight data is ordered from small to large in the abscissa value. Wherein [ F ]Each element in the first column of the initial planning point is a numerical value, and is used for representing the horizontal coordinate value of the planning point in the planning point coordinate data of the initial planning point, and is marked as x i I=1, 2, …, n, i denotes the number of the initial planning point to which the number corresponds to the row in which the data is located, e.g. x 1 And the abscissa value of the planning point representing the first initial planning point data in the matrix. [ F]Each element in the second column of the initial planned point is a numerical value, and is used for representing the ordinate value of the planned point in the planned point coordinate data of the initial planned point, and is marked as y i I=1, 2, …, n, i denotes the number of the initial planning point to which the number corresponds to the row in which the data is located, e.g. y 1 And the ordinate value of the planning point representing the first initial planning point data in the matrix. [ F]Each element in the fourth column of the initial planning point data is a numerical value, which is used for representing a point combination rod state of the initial planning point data, and is denoted as hx, that is, whether the initial planning point has been subjected to a rod combination operation is determined, and the point combination rod state is an uncombined rod state 0 or an combined rod state 1.[ F]Each element in the fifth column of the initial planning point data is a numerical value, and the resultant bar priority data for representing the initial planning point data is denoted as p i The data may be determined in matrix F]The sequence index in (a) is then in [ F ]]The initial planning point location data is ordered according to the rod closing priority data, the point location data with the highest first behavior priority is ordered, and so on. [ F]Each element in the sixth column of (2) is a numerical value for representingThe resultant bar radius data of the function corresponding to the initial planning point position is recorded as r i 。
[ F ] the reaction product is]Each element in the third column of (2) is a row vector, the row vector [ g ]] i For identifying the type of the functional device corresponding to the initial planning point location, a row vector [ g ]] i The expression can be as follows: [ g ]] i = [ function device a flag, function device B flag, function device C flag, …, function device Q flag]And row vector [ g ]] i The number of columns of (2) is determined by the number of functional points of the target object determined in the target planning area. For example, if [ F]The function of the first functional point in the matrix, which is the functional device a, can be expressed as [ g ]] 1 ＝[1，0，0，…，1]Wherein, since each initial planning point corresponds to a function, only one column in each row vector is 1. Therefore, the upper bar function point position matrix [ F ] in the embodiment of the application]Can be expressed as shown in formula (2).
Referring to fig. 3, fig. 3 is a first flowchart of a specific method of step S240 according to an embodiment of the present application. In some embodiments of the present application, the first planning point data further includes planning point coordinate data and planning point function device type data, and step S240 may specifically include, but is not limited to, steps S310 to S340, and these four steps are described in detail below in connection with fig. 3.
Step S310, if the first state judgment result indicates that the rod planning state is an unplanned state, and the second state judgment result indicates that the point combination rod state is an unplanned state, carrying out coordinate replacement on the intelligent rod coordinate data according to the planning point coordinate data, and updating the intelligent rod coordinate data according to the coordinate replacement result;
step S320, performing equipment type information replacement on the intelligent pole type information according to the planning point function equipment type data so as to update the intelligent pole type information according to the equipment type information replacement result;
step S330, the point position rod state is updated to a closed rod state;
and step S340, obtaining candidate composite rod planning data according to the updated intelligent rod coordinate data and the updated intelligent rod on-rod category information.
In steps S310 to S340 of some embodiments, if the first status determination result indicates that the rod planning status is an unplanned status, and the second status determination result indicates that the point location rod status is an unplanned status, i.e. the candidate intelligent rod does not include any functional point, and the first planning point location data for planning does not perform the rod closing operation. Thus, according to the planning point coordinate data (x i ，y i ) For intelligent bar coordinate data (X) a ，Y a ) Performing coordinate replacement, and updating the intelligent rod coordinate data according to the result of the coordinate replacement, so that the intelligent rod abscissa data X corresponding to the candidate intelligent rod at the moment a ＝x i Ordinate data Y of intelligent pole a ＝y i Namely, the embodiment of the application takes the coordinates corresponding to the point location data with highest sensitivity and priority meeting the conditions as the coordinates of the candidate intelligent pole. Since the first planning point location data can be integrated onto the candidate intelligent pole at this time, the planning point function device type data [ g ] according to the first planning point location data] i For intelligent pole-up pole category information [ G] a Device type information replacement, namely [ G ] is performed] a ＝[g] i To update smart pole up-pole category information [ G] a . After the first planning point position data is processed by the rod combination, the point position rod state is updated to be the rod combination state, and the matrix [ MP ] is updated according to the updated intelligent rod coordinate data and the updated intelligent rod type information]And obtaining candidate co-rod planning data corresponding to the candidate intelligent rod, namely row vectors corresponding to the candidate intelligent rod. It can be seen that when the intelligent bar abscissa data of the candidate intelligent bar changes, the bar planning state corresponding to the candidate intelligent bar changes to the planned state.
Referring to fig. 4, fig. 4 is a second flowchart of a specific method of step S240 according to an embodiment of the present application. In some embodiments of the present application, step S240 may specifically further include, but is not limited to, steps S410 to S460, which are described in detail below in conjunction with fig. 4.
Step S410, if the first state judgment result indicates that the rod planning state is a planned state and the second state judgment result indicates that the point combination rod state is an un-combined rod state, acquiring the combination rod radius data of the first planning point data;
step S420, coordinate distance calculation is carried out on the planning point coordinate data and the intelligent rod coordinate data, and resultant rod distance data are obtained;
step S430, carrying out the composite rod distance judgment on composite rod distance data according to the composite rod radius data to obtain a composite rod distance judgment result;
step S440, if the rod closing distance judging result indicates that the rod closing distance data is smaller than or equal to the rod closing radius data, carrying out category combination on the planning point function equipment type data and the intelligent rod loading category information so as to update the intelligent rod loading category information according to the category combination result;
step S450, updating the point position rod state to a closed rod state;
and step S460, obtaining candidate composite rod planning data according to the intelligent rod coordinate data and the updated intelligent rod upper rod category information.
In steps S410 to S460 of some embodiments, if the first status determination result indicates that the rod planning status is a planned status, that is, before the first planning point location data is planned to be combined, the candidate intelligent rod has the point location data already combined, and the coordinate information of the candidate intelligent rod has already been determined. If the second state judgment result indicates that the point combination rod state is not the rod combination state, the planning point coordinate data (x i ，y i ) And smart bar coordinate data (X) a ，Y a ) Calculating the coordinate distance to obtain resultant rod distance data, which is marked as L 2 ＝(X a -x i ) 2 +(Y a -y i ) 2 . In order to judge whether the first planning point location data can be combined to the candidate intelligent rod, the combination rod radius data r corresponding to the first planning point location data is used i And judging the closing rod distance according to the closing rod distance data. If the distance between the two connecting rods isThe data L is smaller than or equal to the radius data r of the closing rod i And then the first planning point location data can be combined on the candidate intelligent pole. Then, for the planning point function device type data [ g ]] i And intelligent pole-on-pole category information [ G] a Performing category merging, namely updating the intelligent pole-on-pole category information [ G ] according to the result of category merging as shown in formula (3)] a . After the first planning point data is processed by the rod combination, the point data is updated to be in a combined rod state, and the matrix [ MP ] is updated according to the intelligent rod coordinate data of the candidate intelligent rods and the updated intelligent rod type information on the intelligent rods]And obtaining candidate co-rod planning data corresponding to the candidate intelligent rod, namely row vectors corresponding to the candidate intelligent rod.
[G] a ＝[G] a +[g] i (3)
If the first state judgment result indicates that the rod planning state is an unplanned state and the second state judgment result indicates that the point rod closing state is a closed rod state; or if the first state judgment result indicates that the rod planning state is the planned state and the second state judgment result indicates that the point position rod state is the combined rod state; or if the first state judgment result indicates that the rod planning state is a planned state and the second state judgment result indicates that the point-to-rod state is an un-rod state, but the rod-to-rod distance judgment result indicates that the rod-to-rod distance data is larger than the rod-to-rod radius data, any one of the above three cases indicates that the first planning point-to-point data does not meet the condition of planning the rod to the candidate intelligent rod. Therefore, planning point location screening is conducted on the initial planning point location data according to the rod combination priority data and the first planning point location data, second planning point location data are obtained, and whether the second planning point location data can be used for carrying out rod combination operation on the candidate intelligent rod or not is judged.
Referring to fig. 5, fig. 5 is another alternative flowchart of a smart pole planning method according to an embodiment of the present application. In some embodiments of the present application, before step S160, the smart bar planning method of the present application may specifically further include, but is not limited to, steps S510 to S530, which are described in detail below in connection with fig. 5.
Step S510, performing planning point location screening on the initial planning point location data according to the rod combination priority data and the first planning point location data to obtain second planning point location data, wherein the second planning point location data is the next data with the priority smaller than that of the first planning point location data;
step S520, the initial intelligent rod for performing functional point position planning is taken as a candidate intelligent rod again according to the second planning point position data, the rod planning state of the candidate intelligent rod is obtained, and a third state judgment is performed on the rod planning state, so that a third state judgment result is obtained;
and step S530, carrying out the rod combination processing on the second planning point location data according to the third state judgment result and the point combination rod state of the second planning point location data so as to update the candidate rod combination planning data according to the rod combination processing result.
In steps S510 to S530 of some embodiments, after the first planning point location data is subjected to the co-planning, planning point location screening is performed on the initial planning point location data according to the co-planning priority data and the first planning point location data. In the software, i=i+1 is equivalent to obtaining second planning point location data, and the second planning point location data is next point location data with priority smaller than that of the first planning point location data. When the second planning point data is planned, the second planning point data is equivalent to the new first planning point data, and step S140 and step S150 are re-executed. Specifically, the initial intelligent rod for performing functional point location planning is used as a candidate intelligent rod again according to the second planning point location data, namely, after the first planning point location data are judged on the same candidate intelligent rod, whether the second planning point location data can perform rod combination operation on the candidate intelligent rod is judged.
It should be noted that, the third status determination result is used for determining whether the current candidate intelligent pole is the pole-closing point location data.
In step S160 of some embodiments, in order to fully consider the sensitivity of all the pole devices to the pole positions and the technical layout requirements of the pole devices, the purpose is to provide effective mounting services for as many devices as possible with a single pole, and to avoid occupation of the intelligent pole by no pole devices and only one pole device. According to the method and the device, intelligent rod planning processing is conducted on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data, so that the candidate intelligent rods which do not meet the requirements are removed, and the target composite rod planning data of a target planning area are obtained.
Referring to fig. 6, fig. 6 is a second flowchart of a specific method of step S160 according to an embodiment of the present application. In some embodiments of the present application, step S160 may specifically include, but is not limited to, steps S610 to S640, and these four steps are described in detail below in conjunction with fig. 6.
Step S610, data priority judgment is carried out on the second planning point location data according to the lever closing priority data, and a priority judgment result is obtained;
step S620, if the priority judgment result indicates that the priority data corresponding to the second planning point location data identified currently is located at the tail of the rod combination priority data, fourth state judgment is carried out on the candidate intelligent rods according to the rod planning state, and a fourth state judgment result is obtained;
Step S630, if the fourth state judgment result indicates that the rod planning state is an unplanned state, planning point position calculation is carried out on the candidate composite rod planning data according to a preset rejection function, and a planning point position value is obtained;
and step S640, performing intelligent rod planning processing on the candidate intelligent rods according to a preset planning point position threshold value and a planning point position value to obtain target intelligent rods, and obtaining target composite rod planning data according to the target intelligent rods.
In steps S610 to S630 of some embodiments, data priority determination is performed on the second planning point data according to the rod combination priority data to determine whether the second planning point data is the last point data of all the initial planning point data. If the priority judgment result indicates that the priority data corresponding to the currently identified second planning point location data is located at the tail of the rod combination priority data, namely the second planning point location data is the last point location data for planning. After the judgment of all the initial planning point position data and the selected candidate intelligent rods is completed, the candidate intelligent rods are selectedAnd the rod planning state carries out fourth state judgment to obtain a fourth state judgment result, wherein the fourth state judgment result is used for indicating whether at least one point position data is combined on the candidate intelligent rod at the moment after all initial planning point position data are judged. If the fourth state judgment result indicates that the rod planning state is an unplanned state, the point combination rod states which indicate all initial planning point position data are all combined rod states. Thus, the subsequent initial smart bar is no longer selected as a candidate smart bar, i.e. the selection of the smart bar is stopped. The candidate smart rods at this time include the smart rods that have been previously planned and an empty smart rod. In order to eliminate the candidate intelligent rods which do not meet the requirements, a matrix [ G ] of the on-intelligent-rod class information of the intelligent rods after the candidate intelligent rods judge all initial planning point position data is obtained ] a . For example, if the upper bar function class includes function device A through function device Q, then the matrix [ G] a The matrix size of (2) is Q×1. Obtaining a preset unit column vector [ E ]]And the unit row vector [ E ]]The matrix size is 1 XQ, which can be expressed, for example, asAnd in order to determine the number of the combined rod functions of the candidate intelligent rods, planning point positions are calculated on candidate combined rod planning data according to a preset rejection function. The preset eliminating function is shown in the following formula (4), and the planning point position value is used for indicating the number of planning point positions on the candidate intelligent rod after the intelligent rod planning method is adopted, and the planning point position value is marked as l.
l＝[G] k ×[E] (4)
Where k represents the number of target smart rods.
In step S640 of some embodiments, in order to avoid occupation of the intelligent pole by no pole device and only one pole device, the preset planned point location threshold is set to 1 in the embodiments of the present application. Specifically, after the planning of the composite rod is performed on all the initial planning point data, the planning point value of each candidate intelligent rod is calculated according to the finally updated matrix [ MP ]. And rejecting the whole row of candidate combined rod planning data corresponding to the candidate intelligent rods with the planning point position values smaller than or equal to 1 in the updated matrix [ MP ], namely taking the candidate intelligent rods with the planning point position values larger than 1 as target intelligent rods. And the whole row of candidate composite rod planning data of the target intelligent rod in the updated matrix [ MP ] is used as target composite rod planning data. Assuming that k target intelligent bars are obtained after intelligent bar planning processing is performed on candidate composite bar planning data of all candidate intelligent bars, a target point position matrix [ MEP ] of the multifunctional intelligent bar is obtained according to the target composite bar planning data, wherein the target point position matrix is a matrix of k rows and 3 columns, and k is a positive integer and k is less than or equal to m. Wherein, each element in the first column of the target point position matrix [ MEP ] is a numerical value and is used for representing the intelligent rod abscissa data of the target intelligent rod. Each element in the second column of MEP is a numerical value representing the smart bar ordinate data of the target smart bar. Each element in the third column of MEP is a row vector, which is used to represent the type and number of backswing functions of each target smart pole.
If the abscissa data of the selected candidate intelligent rod is changed, the rod planning state corresponding to the candidate intelligent rod is changed into a planned state, that is, if the fourth state judgment result indicates that the rod planning state is the planned state, the next initial intelligent rod is selected as the candidate intelligent rod, so as to perform the rod combination judgment on all the initial planning point position data.
Referring to fig. 7, fig. 7 is another alternative flowchart of a smart pole planning method according to an embodiment of the present application. In some embodiments of the present application, after step S160, the smart bar planning method of the present application may specifically further include, but is not limited to, step S710 and step S720, which are described in detail below in connection with fig. 7.
Step S710, carrying out planning equipment information acquisition on the target planning area according to the target closing rod planning data to obtain target planning functional equipment and preset load data of the target planning functional equipment;
and step S720, performing equipment load calculation on the target planning area according to the equipment number of the target planning functional equipment and the preset load data to obtain intelligent rod planning load data.
In step S710 and step S720 of some embodiments, after determining the target smart lever and the corresponding target co-lever planning data, in order to avoid power load pressure caused when constructing the target smart lever in the target planning area, the embodiments of the present application further include performing power load prediction on the multifunctional smart lever in the target planning area, that is, the mounted function device on the target smart lever. Specifically, planning equipment information is acquired for a target planning area to obtain a target intelligent pole, and target planning function equipment of the target intelligent pole and preset load data of the target planning function equipment are acquired. Wherein the target planning function device is the intelligent pole-on-pole category information [ G ] corresponding to the target intelligent pole in the above embodiment ] a . If the upper bar function class includes the function devices A to Q, a preset load matrix P is formed according to the preset load data of the function devices]The preset load matrix [ P ]]Is a column vector of Q rows and 1 columns, and is preset with a load matrix [ P ]]Is a power rating of the functional device. Performing equipment load calculation on the target planning area according to the equipment load calculation function shown in the following formula (5) to obtain intelligent pole planning load data, and recording the intelligent pole planning load data as P sum 。
Where k is the number of target smart rods,represents a simultaneous coefficient, and can take any one of values 0.7 to 0.95.
The embodiment of the application provides a multifunctional intelligent pole planning method for a target planning area, which can fully consider the sensitivity degree of all pole lifting equipment to pole body positions and the technical layout requirements of the pole lifting equipment, thereby effectively screening pole lifting functional equipment in the target planning area. The current situation map layer corresponding to various functions is drawn according to current situation distribution data of various pole-up functions, and the planning map layer corresponding to various functions is drawn according to future requirements of various functions, so that the current situation and planning distribution of functional equipment in a target planning area are integrated in space based on a certain principle, further, a station address layout diagram of the multifunctional intelligent pole in a planning sheet area is formed, and pole-up equipment functions of each multifunctional intelligent pole are planned rapidly and accurately. In addition, the embodiment of the application can also predict the power load based on the rod body site selection layout conclusion and the planning and mounting function so as to accurately determine the power requirement of the multifunctional intelligent rod. According to the intelligent pole planning method, the problems that in an existing planning design technology, pole address selection is too dependent on current situation of lamp poles, pole-up function selection is too subjective, and the feasibility and the expansibility of mounting functions are poor can be effectively solved, intelligent pole planning layout of a given area can be rapidly and accurately achieved, and accordingly accuracy and efficiency of planning layout of intelligent poles are improved, and the feasibility is stronger.
Referring to fig. 8, fig. 8 is a schematic block diagram of an intelligent pole planning system according to an embodiment of the present application. In some embodiments of the present application, the smart rod planning system includes a point data acquisition module 810, a point merge module 820, a planned point screening module 830, a state determination module 840, a rod combining processing module 850, and a smart rod planning processing module 860.
The point data obtaining module 810 is configured to obtain to-be-upsidedown function point data, initial intelligent pole and initial function point data of the initial intelligent pole in the target planning area, where the to-be-upsidedown function point data is used for representing planning point data of a preset upsidedown function class, and the initial function point data is used for representing current point data identical to the preset upsidedown function class of the to-be-upsidedown function point data;
the point location merging module 820 is configured to perform point location merging processing according to the to-be-upsidedown function point location data and the initial function point location data, so as to obtain initial planning point location data, where the initial planning point location data includes composite bar priority data;
the planning point position screening module 830 is configured to perform planning point position screening on the initial planning point position data according to the rod combination priority data, so as to obtain first planning point position data and a point combination rod state of the first planning point position data;
The state judging module 840 is configured to take an initial intelligent rod performing functional point location planning as a candidate intelligent rod, obtain a rod planning state of the candidate intelligent rod, and perform a first state judgment on the rod planning state to obtain a first state judgment result;
the rod combination processing module 850 is configured to perform rod combination processing on the first planning point location data according to the first status determination result and the point combination status, so as to obtain candidate rod combination planning data of the candidate intelligent rod;
and the intelligent rod planning processing module 860 is used for performing intelligent rod planning processing on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area.
It should be noted that, the intelligent pole planning system in the embodiment of the present application is configured to execute the above intelligent pole planning method, and the intelligent pole planning system in the embodiment of the present application corresponds to the above intelligent pole planning method, and specific training process refers to the above intelligent pole planning method and is not described in detail herein.
The embodiment of the application also provides electronic equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the intelligent rod planning method of the embodiment of the application when executing the computer program.
The electronic device may be any intelligent terminal including a mobile phone, a tablet computer, a personal digital assistant (Personal Digital Assistant, PDA), a car computer, etc.
An electronic device according to an embodiment of the present application is described in detail below with reference to fig. 9.
Referring to fig. 9, fig. 9 illustrates a hardware structure of an electronic device according to another embodiment, where the electronic device includes:
the processor 910 may be implemented by a general purpose central processing unit (Central Processing Unit, CPU), a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing related programs to implement the technical solutions provided in the embodiments of the present application;
the Memory 920 may be implemented in the form of a Read Only Memory (ROM), a static storage device, a dynamic storage device, or a random access Memory (Random Access Memory, RAM). Memory 920 may store an operating system and other application programs, and when the technical solutions provided in the embodiments of the present disclosure are implemented in software or firmware, relevant program codes are stored in memory 920 and invoked by processor 910 to perform the intelligent bar planning method of the embodiments of the present disclosure;
An input/output interface 930 for inputting and outputting information;
the communication interface 940 is configured to implement communication interaction between the device and other devices, and may implement communication in a wired manner (e.g., USB, network cable, etc.), or may implement communication in a wireless manner (e.g., mobile network, WIFI, bluetooth, etc.);
a bus 950 for transferring information between components of the device (e.g., processor 910, memory 920, input/output interface 930, and communication interface 940);
wherein processor 910, memory 920, input/output interface 930, and communication interface 940 implement communication connections among each other within the device via a bus 950.
The embodiment of the application also provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the intelligent pole planning method of the embodiment of the application.
The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The embodiments described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and as those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.
It will be appreciated by those skilled in the art that the technical solutions shown in the figures do not constitute limitations of the embodiments of the present application, and may include more or fewer steps than shown, or may combine certain steps, or different steps.
The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Those of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution, in the form of a software product stored in a storage medium, including multiple instructions for causing an electronic device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, an optical disk, or other various media capable of storing a program.
Preferred embodiments of the present application are described above with reference to the accompanying drawings, and thus do not limit the scope of the claims of the embodiments of the present application. Any modifications, equivalent substitutions and improvements made by those skilled in the art without departing from the scope and spirit of the embodiments of the present application shall fall within the scope of the claims of the embodiments of the present application.
Claims (10)
1. A smart rod planning method, the method comprising:
acquiring to-be-upsidedown function point position data, initial intelligent rods and initial function point position data of a target planning area, wherein the to-be-upsidedown function point position data are used for representing planning point position data of a preset upsidedown function class, and the initial function point position data are used for representing current point position data which are the same as the preset upsidedown function class of the to-be-upsidedown function point position data;
performing point location combination processing according to the to-be-upscaled function point location data and the initial function point location data to obtain initial planning point location data, wherein the initial planning point location data comprises composite rod priority data;
performing planning point location screening on the initial planning point location data according to the closing priority data to obtain first planning point location data and point closing rod states of the first planning point location data;
taking the initial intelligent rod for planning the functional point position as a candidate intelligent rod, acquiring the rod planning state of the candidate intelligent rod, and carrying out first state judgment on the rod planning state to obtain a first state judgment result;
carrying out rod combination processing on the first planning point position data according to the first state judgment result and the point position rod state to obtain candidate rod combination planning data of the candidate intelligent rod;
And performing intelligent rod planning processing on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area.
2. The method of claim 1, wherein the performing the merging process on the first planning point location data according to the first state determination result and the point merging state to obtain candidate merging planning data of the candidate intelligent rod includes:
acquiring intelligent rod point position data of the candidate intelligent rods, wherein the intelligent rod point position data comprises intelligent rod coordinate data and intelligent rod type information;
performing second state judgment on the point position rod state to obtain a second state judgment result;
carrying out the joint rod planning judgment on the first planning point location data according to the first state judgment result and the second state judgment result to obtain a joint rod planning judgment result;
and carrying out the rod combination processing on the first planning point position data according to the rod combination planning judgment result, the intelligent rod coordinate data and the intelligent rod on-rod type information to obtain the candidate rod combination planning data.
3. The method according to claim 2, wherein the first planning point location data further includes planning point coordinate data and planning point function device type data, and the performing the merging process on the first planning point location data according to the merging rule determination result, the intelligent pole coordinate data and the intelligent pole on-pole category information to obtain the candidate merging rule data includes:
If the first state judgment result indicates that the rod planning state is an unplanned state, and the second state judgment result indicates that the point position rod state is an unplanned state, carrying out coordinate replacement on the intelligent rod coordinate data according to the planning point coordinate data, and updating the intelligent rod coordinate data according to the coordinate replacement result;
performing equipment type information replacement on the intelligent pole type information according to the planning point function equipment type data so as to update the intelligent pole type information according to the equipment type information replacement result;
updating the point position rod state to a closed rod state;
and obtaining the candidate composite rod planning data according to the updated intelligent rod coordinate data and the updated intelligent rod on-rod category information.
4. The method of claim 3, wherein the performing the merging process on the first planning point location data according to the merging bar planning determination result, the intelligent bar coordinate data and the intelligent bar on-bar category information to obtain the candidate merging bar planning data further includes:
if the first state judgment result indicates that the rod planning state is a planned state, and the second state judgment result indicates that the point position rod state is an uncombined state, obtaining combined rod radius data of the first planning point position data;
Carrying out coordinate distance calculation on the planning point coordinate data and the intelligent rod coordinate data to obtain resultant rod distance data;
carrying out the composite rod distance judgment on the composite rod distance data according to the composite rod radius data to obtain a composite rod distance judgment result;
if the rod closing distance judging result indicates that the rod closing distance data is smaller than or equal to the rod closing radius data, carrying out category combination on the planning point function equipment type data and the intelligent rod loading category information so as to update the intelligent rod loading category information according to the category combination result;
updating the point position rod state to a closed rod state;
and obtaining the candidate composite rod planning data according to the intelligent rod coordinate data and the updated intelligent rod-on-rod category information.
5. The method of claim 1, wherein prior to the deriving target compliance planning data for the target planning region from the candidate compliance planning data, the method further comprises:
performing planning point location screening on the initial planning point location data according to the closing priority data and the first planning point location data to obtain second planning point location data, wherein the second planning point location data is the next data with priority smaller than that of the first planning point location data;
The initial intelligent rod which performs functional point position planning is taken as the candidate intelligent rod again according to the second planning point position data, the rod planning state of the candidate intelligent rod is obtained, and third state judgment is performed on the rod planning state, so that a third state judgment result is obtained;
and carrying out the rod combination processing on the second planning point location data according to the third state judgment result and the point combination rod state of the second planning point location data so as to update the candidate rod combination planning data according to the rod combination processing result.
6. The method of claim 5, wherein performing intelligent rod planning on the candidate intelligent rod according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area, comprises:
performing data priority judgment on the second planning point location data according to the closing priority data to obtain a priority judgment result;
if the priority judging result indicates that the priority data corresponding to the currently identified second planning point position data is located at the tail of the rod combining priority data, fourth state judgment is carried out on the candidate intelligent rods according to the rod planning state, and a fourth state judging result is obtained;
If the fourth state judgment result indicates that the rod planning state is an unplanned state, planning point position calculation is carried out on the candidate composite rod planning data according to a preset rejection function, and a planning point position value is obtained;
and performing intelligent rod planning processing on the candidate intelligent rods according to a preset planning point position threshold value and the planning point position value to obtain a target intelligent rod, and obtaining target composite rod planning data according to the target intelligent rod.
7. The method according to any one of claims 1 to 6, wherein after said smart rod candidate is smart rod-programmed according to the rod-programmed state and the candidate co-rod-programmed data to obtain target co-rod-programmed data of the target planned region, the method further comprises:
acquiring planning equipment information of the target planning area according to the target closing rod planning data to obtain target planning functional equipment and preset load data of the target planning functional equipment;
and carrying out equipment load calculation on the target planning area according to the equipment number of the target planning functional equipment and the preset load data to obtain intelligent rod planning load data.
8. A smart pole planning system, the system comprising:
the system comprises a point data acquisition module, a point data processing module and a point data processing module, wherein the point data acquisition module is used for acquiring to-be-upscaled function point data, initial intelligent rod and initial function point data of a target planning area, the to-be-upscaled function point data are used for representing planning point data of a preset upscaling function class, and the initial function point data are used for representing current point data which are the same as the preset upscaling function class of the to-be-upscaling function point data;
the point position merging module is used for carrying out point position merging processing according to the to-be-lifted functional point position data and the initial functional point position data to obtain initial planning point position data, wherein the initial planning point position data comprises rod merging priority data;
the planning point position screening module is used for carrying out planning point position screening on the initial planning point position data according to the closing priority data to obtain first planning point position data and point position closing rod states of the first planning point position data;
the state judging module is used for taking the initial intelligent rod for planning the functional point position as a candidate intelligent rod, obtaining the rod planning state of the candidate intelligent rod, and judging the first state of the rod planning state to obtain a first state judging result;
The rod combination processing module is used for carrying out rod combination processing on the first planning point position data according to the first state judgment result and the point combination rod state to obtain candidate rod combination planning data of the candidate intelligent rod;
and the intelligent rod planning processing module is used for carrying out intelligent rod planning processing on the candidate intelligent rods according to the rod planning state and the candidate composite rod planning data to obtain target composite rod planning data of the target planning area.
9. An electronic device comprising a memory storing a computer program and a processor implementing the method of any of claims 1 to 7 when the computer program is executed by the processor.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method according to any one of claims 1 to 7.
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