154 results about "Regional planning" patented technology

A method for making and organizing a sales territory plan includes guiding users through the development of sales goals, strategies, and targeted lists of accounts derived from the quantifiable characteristics. Historical sales data and strategy are reviewed to define a sales record, which is then segmented based upon commonalties and categorized. The segmented record is analyzed by individual sales territory to create a territory dashboard from which trends and relationships are then evaluated. These trends and relationships are further analyzed using a territory strategies analysis for planning sales strategies based on account segments, sales goals, and other relevant criteria, and to establish a tactical sales action plan. A system and computer process implement one or more steps of the method for territory analysis, goal setting, and strategy and tactics development. In order to derive further benefit execution and follow-up steps are also conducted.

The invention discloses a geographic grid-based government affair information resource integration method. The method comprises the steps of performing multilevel geographic grid division; performing spatialization processing of government affair information resources; performing time-space coherence processing of the government affair information resources; and performing information integration of multi-scale geographic grids. By fully utilizing a geographic grid division technology, a grid coding method, a text word segmentation and extraction method and a spatial statistical analysis technology, the fusion of government affair information and space information is realized; deep integration and application of the government affair information resources are performed; and grid analysis of single type of data is upgraded to grid internal integration analysis of government affair information resources of multiple types and multiple scales, so that comprehensive government affair data space distribution, comparison and associative analysis can be carried out in a specified region. The information extraction and resource integration can be quickly realized in regional planning and emergency of governments.

A planning system (201) for scheduling the operation of autonomous entities within a defined geographical region. The planning system operates at a region plan level (301) for strategic planning across the geographical region, at an operation plan level (302) for operations to be performed by autonomous entities in localised zones having operation-defined geographical boundaries, and at a task plan level (303) in which processing is undertaken in respect of specific tasks to be performed by the autonomous entities, in undertaking the operations.

The invention discloses an intelligent roadbed and pavement roller compaction system which comprises a quality detection system, an intelligent decision making system, an unmanned roller compaction system and a remote monitoring center. The quality detection system is used for detecting the compaction quality of various filled layers of roadbeds and pavements; compaction quality data can be analyzed by the intelligent decision making system, and roller compaction construction parameters of next procedures or new roller compaction construction regions can be obtained by the intelligent decisionmaking system; the unmanned roller compaction system can be combined with a single unmanned roller compaction machine or a group of unmanned roller compaction machines according to the roller compaction construction parameters, so that construction operation can be synergistically accomplished; real-time communication service, operation region planning, navigation routes and group scheduling service can be provided by the remote monitoring center, field operation conditions can be displayed by the remote monitoring center, and operation data can be stored by the remote monitoring center. Theintelligent roadbed and pavement roller compaction system has the advantages that the compaction quality of the different filled layers and different filling materials of the roadbed and the pavementscan be detected by the intelligent roadbed and pavement roller compaction system in an online manner, roller compaction construction operation can be controlled by means of machine decision making, accordingly, influence of human factors can be prevented, detection, analysis, decision making and control cycle can be implemented in a closed-loop manner, and the intelligent roadbed and pavement roller compaction system is particularly applicable to all-weather roadbed and pavement roller compaction construction operation scenes in hazardous regions or under extreme conditions.

The invention provides an automatic guiding vehicle global route planning method applicable to a logistics warehousing system. The method includes the steps of creating an environmental map accordingto environmental information; conducting noise removal, region planning and expansion treatment on the created environmental map; on the basis of the environmental map, obtaining the coordinate of a starting point n0 and the coordinate of a target point nt and conducting global route planning according to an optimized route cost function. According to the provided automatic guiding vehicle globalroute planning method, the optimized route cost function is adopted, a cornering factor (such as cornering tendency, cornering amplitude and running speed) and a barrier distance factor are taken intoaccount, and after the two factors are added, the sensitivity of an heuristic evaluation function on cornering and the distance between an automatic guiding vehicle and barriers is improved; the cornering frequency is greatly reduced, and the distance between the vehicle and the barriers is increased; therefore, the cornering frequency of a planned global route is decreased, and the automatic guiding vehicle is prevented from advancing close to the barriers.

The invention belongs to the technical field of thermal power plant operation and maintenance, and particularly relates to a thermal power plant unmanned inspection task planning method and system. The unmanned inspection task planning method comprises the following steps: establishing a digital plant area, performing regional planning, performing station planning, performing point location planning, performing path planning, carrying out free task, and then cooperating with an unmanned inspection system comprising a front-end acquisition module, an information transmission module and a background data processing module to complete unmanned inspection task planning and comprehensive inspection of a thermal power plant. The method has the advantages that the equipment fault can be detectedand diagnosed more comprehensively in combination with a digital plant area; by dividing a detection area, resources are effectively allocated and utilized, and the accuracy and safety of inspection are further improved; the station and point location planning method can formulate a detection scheme with high pertinence according to different working conditions of each detection point, so that theadaptability of the inspection system to the factory environment is greatly enhanced; by using a self-optimization method, the efficiency and reliability of inspection work are improved.

The invention discloses an autonomous real-time airborne terrain-aided inertial navigation method and system. The method comprises the following steps: according to attitude, speed and position information outputted from a main inertial navigation system, matching areas are continuously planned according to a terrain matching area automatic planning algorithm in a terrain matching area planning and adaptability analysis module; matching adaptability of planned areas is automatically analyzed according to matching area adaptability analysis criterion in the terrain matching area planning and adaptability analysis module; whether a terrain matching algorithm is executed is decided according to the analysis result of the matching adaptability, if the planned areas are the matching areas, the terrain matching algorithm is executed in order to realize the matching positioning; if the planned areas are not the matching areas, the terrain matching algorithm is not executed.

The invention relates to a cleaning method and chip of an intelligent robot and the intelligent cleaning robot, and the sweeping efficiency of the robot can be improved, and the user experience can beenhanced. According to the cleaning method of the intelligent robot, area planning and sweeping are carried out through a nearby principle, so that the robot can preferentially clean nearby areas, the sweeping area does not need to be transferred frequently, the sweeping is more convenient, the efficiency is higher, and meanwhile, a user can see the work of the robot all the time in the non-sweptarea, and the robot cannot run everywhere, so that the user experience is improved.

The invention provides a sunshine shadow analysis method facing urban green land planning. The method comprises following steps: S101. the sunshine environment is simulated based on a three-dimensional city; S103. solar radiation analysis on buildings is carried out to obtain the features of solar radiation; S105. calculation and simulation of shadow area of buildings are carried out to obtain features of shadows; S107. the solar radiation features and the shadow features are combined to find out a dynamic spatial distribution rules of the buildings along with the variation of time; optimization of green land layout is realized according to the dynamic spatial distribution rules and the present situations of the area planning. According to the sunshine shadow analysis method facing urban green land planning, the variation of the sunshine and the shadow is simulated as a continuous process; the ground surface plant demands are fully taken into account; the analysis capability in processing scattered radiation and reflection radiation of shelters and the ground surface is effectively increased.

The invention provides an automatic site programming method in a wireless communication network. The method comprises the steps of: 1. selecting a site programming area; 2. setting site programming information of the area; 3. setting a site and position thereof in the area site programming; 4. judging whether the position of the selected site meets the area programming site information, if yes, placing the site and entering the step 5, and if not, returning to the step 3; and 5. repeating the steps 3 and 4 according to site programming information, until the position of the selected site is outside the range of the programmed area. The invention further provides automatic site programming device and system in the wireless communication network. Through the method, device and system in the invention, the problem that the performances of the network can be possibly reduced due to unreasonable manual site programming in the current wireless network can be solved, and the performance of the wireless network can be improved.

An intelligent generation method and system of planning scheme based on machine learning are disclosed. A generation model shown in the description is obtained by machine learning training the parameters of the model through the marked planning design scheme. Then, the data z' of the area to be planned is inputted into the generation model shown in the description, and the planning scheme of the area to be planned is obtained by operation. The planning scheme of the area to be planned comprises a design element M of the area and attribute information corresponding to the design element M, which can be rendered and edited by a graphics processing software. The invention can further realize intelligent planning and design on the basis of existing CAD graphics processing software through machine learning. Moreover, combined with the comprehensive evaluation of the planning and design scheme, the invention can further optimize the model obtained by training in the use process, and furtherimprove the quality of the 'batch' fully automatic planning and design scheme. The invention retains a data interface for a designer to operate, and the designer can directly modify the planning and design scheme through the interface, so that the efficiency is higher.

The invention provides a regional carbon neutralization calculation method based on carbon revenue and expenditure balance analysis, which is characterized by comprising the following steps: 1, proposing a carbon neutralization construction target of a city or an urban area, namely a carbon sequestration ratio limit value requirement of a region; 2, determining a first scale; 3, performing carbon income and expenditure calculation of the region based on the data in the first scale; 4, calculating a regional carbon sequestration ratio; 5, comparing the carbon sequestration ratio calculated in the step 4 with the carbon sequestration ratio requirement determined in the step 1; when the calculated carbon sequestration ratio does not meet the requirement of the carbon sequestration ratio, performing optimization according to a carbon neutralization construction strategy, correcting planning and design indexes, and returning the second step; and when the calculated carbon sequestration ratio meets the requirement of the carbon sequestration ratio, ending the calculation. A set of complete composite system quantitative analysis tool in the carbon neutralization region planning and construction process is established, the carbon neutralization realization effect of the carbon neutralization region planning and design scheme is scientifically measured and calculated, and the carbon emissions under different planning and design schemes are compared.

The invention discloses a control method for a cluster-type plant protection unmanned aerial vehicle control system. The control system comprises an unmanned aerial vehicle and a ground station in communication with the unmanned aerial vehicle. The method comprises the following steps of 1, unmanned aerial vehicle setting, wherein the number of the cluster-type plant protection unmanned aerial vehicle and parameters of the single unmanned aerial vehicle are set; 2, route planning, wherein according to multiple operation land parcels, multiple obstacle areas and multiple take-off and landing areas, a route is planned; 3, unmanned aerial vehicle monitoring, wherein the position and flight state of the unmanned aerial vehicle for cluster operation are displayed through a map, and according tothe position and flight state of the unmanned aerial vehicle, a cluster operation instruction and a single-unit operation instruction are determined. According to the method, cluster-type control over the unmanned aerial vehicle can be achieved, and the safety and reliability of plant protection operation are guaranteed.

The invention discloses a forest fire hazard detection and rescue system on the basis of cloud computing. The forest fire hazard detection and rescue system comprises a fire hazard detection unit, a computational analysis unit, a rescue unit, a planning unit and a warning unit. The fire hazard detection unit is used for detecting forest fire hazard occurrence probability by the aid of atmosphere and object temperatures and photographed images, the computational analysis unit is used for analyzing conditions of fire hazards by the aid of detection data, carrying out grading and formulating rescue requirements, the rescue unit is used for carrying out fire hazard and personnel rescue by the aid of rescue equipment or personnel, the planning unit is used for carrying out regional planning andpost-hazard planning on forest, and the warning unit is used for warning users for forest fire hazard occurrence possibility and danger levels of the fire hazards after the fire hazards occur. The forest fire hazard detection and rescue system has the advantages that the forest fire hazard detection and rescue system is provided with the units, accordingly, the forest fire hazard occurrence possibility can be intelligently and effectively detected, personnel and the forest can be effectively rescued after the fire hazards occur, ecological environments can be protected, and the safety can beimproved.

The invention relates to a regional planning method for wind power heating. The method comprises the following steps: S1, calculating abandoned wind power quantity of a to-be-planned region in a heating period according to an acquired wind power predication curve and an actual wind power output curve; S2, judging whether the abandoned wind power quantity is greater than a set threshold value or not, if so, then implementing wind power clean heating in the region, and carrying out the next step and otherwise, quitting; S3, calculating the area of a heating region in the to-be-planned region according to the abandoned wind power quantity; S4, calculating the capacity of a required heat storage device according to the area of the heating region; S5, designing the wind power clean heating in the heating region according to the abandoned wind power quantity and the capacity of the heat storage device. According to the method, the feasibility of implementing a wind power clean heating scheme in the region is evaluated according to the actual wind resource data, the wind power output data and the heat load demand data of the planned region, and the heating area and the capacity of the heat storage device to be arranged are quantitatively calculated.

The invention discloses a multi-dimensional constraint wind power plant current collection line automatic planning method. The method comprises the steps: 1) intelligent partitioning; 2) optimal planning of cost in the area; 3) the global cost of cross-regional planning of the line being optimal; 4) T-connection path optimization. According to the invention, the problems of large calculation amount and long time of the traditional NP algorithm such as dimensionality disaster, genetic algorithm, RRT fast search algorithm, ant colony algorithm and the like are solved. Large-scale and large-quantity wind power plant current collection line planning problems are broken in a regional and hierarchical manner, so that the problems of high strength, nonlinearity and high time complexity of currentcollection line planning are solved. The planning of the wind power plant can be carried out considerably and gradually, self-optimization is carried out under multi-dimensional constraints, and theinfluence of human factors on a planning result is reduced.

The present invention relates to a cleaning method capable of automatically planning a path. The method comprises the following steps: obtaining a 3D laser point cloud map of a site to be cleaned and performing data processing on point clouds to obtain a ground plane equation of all point clouds; using the generated ground plane equation of the point clouds and point cloud data to determine a cleanable region; performing grid division on the obtained cleanable region to divide into sub-regions to be cleaned according to the size of non-connected regions in grid regions; and performing a bow-shaped path planning for each of the sub-regions to be cleaned, and connecting paths planned for each of the sub-regions to obtain a path planning for the entire region to be cleaned. The present invention has advantages that the region to be cleaned in a working environment is determined on the basis of the 3D laser, and a cleaning path is automatically planned without too much human participation, and it thus can efficiently save the user's implementation time, reflecting the extremely high intelligence of the floor scrubbing robot.

The present invention provides a visual navigation method and system of a glass curtain wall cleaning robot. The method includes the following steps that: overall wall surface image information and regional image information of a glass curtain wall to be cleaned are obtained; pre-processing and image analysis are performed on the overall wall surface image information and the regional image information, and overall regional planning is carried out; the regional image information is matched with the overall wall surface image information, and inter-region obstacle crossing planning is carried out; and the robot moves under control according to paths of the inter-region obstacle crossing planning. The system comprises a first image acquisition module, an image processing module, a second image acquisition module and a robot movement control module. According to the visual navigation method and system of the glass curtain wall cleaning robot of the invention, the overall wall surface image information and the regional image information of the glass curtain wall to be cleaned are acquired under different angles and modes, and the overall wall surface image information and the regional image information are analyzed and processed, and therefore, intra-region path planning and inter-region obstacle crossing planning can be realized, and therefore, the movement trajectories of the robot can be controlled according to the intra-region path planning and the inter-region obstacle crossing planning, and finally, the robot can continuously work on a plurality of glass surfaces.

The invention belongs to the technical fields of desertification control and desertification agricultural development and creates technical principle and method for desertification control. Accordingto the method, on the premise of making regional planning and land leveling, measures of applying an I type improver with adsorbing, water-retaining, fertilizer-retaining and impermeable functions toa groove which is excavated according to a square grid, backfilling the groove to be flat as well as applying an II type improver to the surface layer of the desert, performing rotary tillage and thenleveling are taken well; the formulas of the improvers are prepared through scientific combination of various industrial and agriculture organic waste, an excellent organic carbon fertilizer and an agricultural composite microbial agent according to the circular economy development concept and the principle of reducing treatment cost as much as possible; moreover, the wind-proof and sand-fixing measures are taken well by building greenhouses in a staggered way and planting green barriers; and a water source and efficient water-saving irrigation scheme is formulated by combining the specific condition of water resources, high-quality agricultural scientific and technical resources at home and abroad are integrally utilized, and the economic and social benefits of changing the desert into the fertile land are greatly increased.

The embodiment of the invention provides a flight navigation method and device and unmanned aerial vehicle. The flight navigation method is applied to the unmanned aerial vehicle and comprises the steps that first map data and a flight route planned in an operation area in the first map data are obtained; when the unmanned aerial vehicle flies according to the flight route, second map data and theflight position are obtained; the operation area of the first map data is matched with the second map data, so that the flight offset of the flight position deviating from the flight route is calculated; and flight correction is conducted according to the flight offset, and thus the flight position is corrected to the flight route. Deviation brought by positioning in the mode of GPS and the likeis corrected through the relationship between the two map data, the positioning accuracy is improved, the robustness of a system in the unmanned aerial vehicle is improved, thus the probability of deviating from the flight route during flying is decreased, and normal executing of the flight task is ensured.

The present invention is a method for providing rapid intervisibility determination in resource-constrained computational environments. The method may be applied to various real-time applications, such as real-time flight planning and ad-hoc network management. The method includes pre-processing terrain elevation data into an ELDETREE data structure, which uses a 3-D grid coordinate system for each zone inside a multi-zone planning area, for expediting intervisibility determination. Along with promoting increased intervisibility computation efficiency, the method further promotes reduced memory usage for intervisibility computation.

The invention discloses a method for achieving automatic positioning of a cross section parallel hole for a rock drilling machine rapidly and accurately. The method for achieving automatic positioning of the cross section parallel hole for the rock drilling machine rapidly and accurately comprises the steps that the structural components of a drilling arm positioning mechanism of the hydraulic rock drilling machine and the movement of all mechanisms are analyzed, the joint coordinate system of the drilling arm positioning mechanism of the hydraulic rock drilling machine is established according to a structure model of a drilling arm system of the hydraulic rock drilling machine by means of the D-H method, the coordinate system of a drilling arm positioning system and connecting rod parameters are analyzed, and the functional relationships between the coordinates of a positioning tail end in a base coordinate system and all joint variables are calculated; cross section parallel hole regional planning for the hydraulic rock drilling machine is conducted; all the joint variables are solved; the pre-positioned position of the positioning tail end during drilling of the rock drilling machine is determined, the pre-positioned coordinates of the positioning tail end in the base coordinate system and all target joint variables are calculated, and a control module is driven in real time through a closed loop to adjust all hydraulic cylinders, so that whether the positioning tail end reaches a preset position is judged. By the adoption of the method for achieving automatic positioning of the cross section parallel hole for the rock drilling machine rapidly and accurately, the difficulty of solving the joint variables of the drilling arm system of the hydraulic rock drilling machine is greatly lowered.

The invention provides a population initialization method for intelligent land utilization space layout optimization. The population initialization method includes the steps that the difference value between a land utilization number structure of a regional planning year and a regional land utilization present situation number structure is acquired to further acquire the difference value of all kinds of land utilization planning schemes in a region and the number of pixels of the present-situation area, and a list A of land types into which pixels need to be called and a list D of land types out of which pixels need to be called are acquired; a random position i is generated on an individual to acquire a neighborhood P; statistics of a plurality of kinds of land types existing in the neighborhood P and the list A at the same time is carried out to acquire a set Y, and a land type L with the largest number of pixels is acquired from the set Y; land type changing operation is carried out on all pixels of the neighborhood P; the initialization process is over and the initialized individual is output until both the list A and the list D are empty. The method improves initialized individual generation quality and efficiency, achieves efficient execution of land resource space layout optimization schemes in land utilization planning, and accordingly provides important guarantees for reasonable, efficient and sustainable utilization of land resources.

The invention discloses a method and device of indoor and outdoor united coverage. The method comprises the following steps: planning adjacent indoor and outdoor covered areas as one logic cell and grouping N channels in the logic cell into M groups; respectively acquiring uplink channel power of a user terminal received by the N channels; according to the uplink channel power of the user terminal received by the N channels and a preset affiliated group power threshold, determining channel groups to which users are affiliated; and sending downlink signals to the user terminal in the channel group to which the users are affiliated. The method and device provided by the invention are utilized to plan the adjacent indoor and outdoor covered areas as one logic cell and grouping receiving channels in the logic cell, and classify the users into the different channel groups so as to transmit the downlink signals, thereby solving the indoor and outdoor ping-pong switching problem.