CN113657692B - Rescue equipment migration method and device and computer readable storage medium - Google Patents
Rescue equipment migration method and device and computer readable storage medium Download PDFInfo
- Publication number
- CN113657692B CN113657692B CN202111216788.6A CN202111216788A CN113657692B CN 113657692 B CN113657692 B CN 113657692B CN 202111216788 A CN202111216788 A CN 202111216788A CN 113657692 B CN113657692 B CN 113657692B
- Authority
- CN
- China
- Prior art keywords
- rescue
- nest
- equipment
- unbalanced
- migration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005012 migration Effects 0.000 title claims abstract description 109
- 238000013508 migration Methods 0.000 title claims abstract description 109
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000010586 diagram Methods 0.000 claims description 23
- 238000004590 computer program Methods 0.000 claims description 10
- 230000000694 effects Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 230000003993 interaction Effects 0.000 abstract description 5
- 208000036829 Device dislocation Diseases 0.000 description 47
- 230000008569 process Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000000151 deposition Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000033001 locomotion Effects 0.000 description 2
- 230000001617 migratory effect Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 206010042434 Sudden death Diseases 0.000 description 1
- 238000002680 cardiopulmonary resuscitation Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a rescue equipment migration method, a rescue equipment migration device and a computer-readable storage medium, unmanned aerial vehicle type rescue equipment is scheduled to automatically migrate into or out of an unbalanced machine nest, and instantaneity and efficiency of machine nest equipment migration are guaranteed; in addition, a balance nest between migration paths is introduced when the target nest and the unbalanced nest perform equipment migration interaction, the balance nest plays a role of a middle migration node, and the single equipment migration task is realized without whole-process migration, so that on one hand, the migration time consumption of the scheme is shorter, the equipment migration efficiency is further improved, and on the other hand, the situation that the unmanned aerial vehicle cannot be immediately put into rescue after the follow-up migration is completed due to too much electric quantity consumption caused by the whole-process migration is avoided.
Description
Technical Field
The present application relates to the field of device scheduling technologies, and in particular, to a rescue device migration method, an apparatus, and a computer-readable storage medium.
Background
Along with the continuous development of science and technology, the application of unmanned aerial vehicle in the rescue field is more extensive, and various unmanned aerial vehicle formula rescue equipment are in the process of coming. In the actual rescue process, take unmanned aerial vehicle formula AED to rescue the scene as an example, when the patient is in the heartbeat and stops, only in "gold 4 minutes" of best rescue time, utilize AED to defibrillate the patient and cardiopulmonary resuscitation, it is the method of stopping sudden death most effectively, from this, more cities have begun to deploy the quick nest that is used for depositing unmanned aerial vehicle formula rescue equipment at present to can control unmanned aerial vehicle formula rescue equipment to rush to the rescue fast when emergency in the city.
At present, unmanned aerial vehicle type rescue equipment in machine nests deployed in different urban areas changes in quantity along with development of rescue use, and along with dynamic change of people flow, the demand of the rescue equipment in corresponding jurisdiction areas of the machine nests also changes adaptively, so that the situation that the quantity of actual rescue equipment in the machine nests cannot meet the demand of the rescue equipment can occur, and sufficient rescue guarantee cannot be provided. Based on this, the special nest management personnel can carry out equipment migration to the nest in the correlation technique, also to the unmanned aerial vehicle formula rescue equipment of migrating into to the nest that rescue equipment lacked, or from the unmanned aerial vehicle formula rescue equipment of migrating out of the redundant nest of rescue equipment, however rely on artifical migration can have the problem that wastes time and energy, efficiency are lower.
Disclosure of Invention
The embodiment of the application provides a rescue equipment migration method, a rescue equipment migration device and a computer-readable storage medium, which can at least solve the problems of time and labor waste and low efficiency caused by equipment migration of a machine nest by special machine nest management personnel in the related art.
The first aspect of the embodiments of the present application provides a rescue device migration method, which is applied to a background server, and includes:
acquiring unbalanced nests of unmanned aerial vehicle type rescue equipment to be migrated in a plurality of nests which govern different regions respectively, and acquiring the number of the equipment to be migrated corresponding to each unbalanced nest; the unmanned aerial vehicle type rescue equipment comprises an unmanned aerial vehicle and rescue equipment which are detachably connected, and the type of the unbalanced airframe comprises an immigration type airframe to be immigrated into the unmanned aerial vehicle type rescue equipment or an immigration type airframe to be immigrated out of the unmanned aerial vehicle type rescue equipment;
acquiring a balanced nest which is positioned in the middle or near the middle of the equipment migration path of each unbalanced nest and the target nest; the actual number of the rescue devices of the balancing machine nest is equal to the expected number of the rescue devices of the corresponding jurisdiction area of the machine nest;
if the unbalanced machine nest is the migration-in machine nest, scheduling the target machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile scheduling the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the same quantity to automatically migrate to the unbalanced machine nest;
and if the unbalanced machine nest is the migration-out machine nest, dispatching the unbalanced machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile dispatching the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the same quantity to automatically migrate to the target machine nest.
A second aspect of the embodiments of the present application provides a rescue equipment migration device, which is applied to a background server, and includes:
the first acquisition module is used for acquiring unbalanced nests of unmanned aerial vehicle type rescue equipment to be migrated in a plurality of nests which govern different regions respectively and acquiring the number of the equipment to be migrated corresponding to each unbalanced nest; the unmanned aerial vehicle type rescue equipment comprises an unmanned aerial vehicle and rescue equipment which are detachably connected, and the type of the unbalanced airframe comprises an immigration type airframe to be immigrated into the unmanned aerial vehicle type rescue equipment or an immigration type airframe to be immigrated out of the unmanned aerial vehicle type rescue equipment;
the second acquisition module is used for acquiring the balanced nests which are positioned in the middle or the vicinity of the middle of the equipment migration path of each unbalanced nest and the target nest; the actual number of the rescue devices of the balancing machine nest is equal to the expected number of the rescue devices of the corresponding jurisdiction area of the machine nest;
the migration module is used for scheduling the target machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest and scheduling the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity equal to the quantity of the equipment to be migrated to automatically migrate to the unbalanced machine nest if the unbalanced machine nest is the migrated machine nest; and if the unbalanced machine nest is the migration-out machine nest, dispatching the unbalanced machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile dispatching the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the same quantity to automatically migrate to the target machine nest.
A third aspect of embodiments of the present application provides an electronic apparatus, including: a memory, a processor, and a bus; the bus is used for realizing the connection communication between the memory and the processor; the processor is configured to execute a computer program stored on the memory, and when the processor executes the computer program, the processor implements the steps of the rescue device migration method provided in the first aspect of the embodiment of the present application.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the rescue device migration method provided in the first aspect of the embodiments of the present application.
As can be seen from the above, according to the rescue equipment migration method, device and computer-readable storage medium provided by the scheme of the application, the unmanned aerial vehicle type rescue equipment is scheduled to automatically migrate into or out of the unbalanced airframe, so that the instantaneity and efficiency of airframe equipment migration are ensured; in addition, a balance nest between migration paths is introduced when the target nest and the unbalanced nest perform equipment migration interaction, the balance nest plays a role of a middle migration node, and the single equipment migration task is realized without whole-process migration, so that on one hand, the migration time consumption of the scheme is shorter, the equipment migration efficiency is further improved, and on the other hand, the situation that the unmanned aerial vehicle cannot be immediately put into rescue after the follow-up migration is completed due to too much electric quantity consumption caused by the whole-process migration is avoided.
Drawings
Fig. 1 is a schematic flow chart of a rescue device migration method according to a first embodiment of the present application;
FIG. 2 is a population thermodynamic diagram provided in accordance with a first embodiment of the present application;
fig. 3 is a schematic diagram of device migration according to a first embodiment of the present application;
fig. 4 is a schematic diagram of program modules of a rescue equipment transfer device according to a second embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to solve the problems of time and labor waste and low efficiency caused by the device migration of a nest performed by a special nest manager in the related art, a first embodiment of the present application provides a rescue device migration method, which is applied to a background server, where the background server may be an emergency center cloud server, and as shown in fig. 1, a flow diagram of the rescue device migration method provided in this embodiment is provided, and the rescue device migration method includes the following steps:
Specifically, in this embodiment, the aircraft nest is used for depositing unmanned aerial vehicle formula rescue equipment, and unmanned aerial vehicle formula rescue equipment is including dismantling unmanned aerial vehicle and the rescue equipment of connection, and this rescue equipment can be for Automatic External Defibrillator (AED). In practical application, the unmanned aerial vehicle type rescue equipment can be stored in machine nests at specific positions (such as building roofs) in cities, different machine nests have respective jurisdiction areas, and in addition, different unmanned aerial vehicle type rescue equipment is recorded in a background server in advance, namely a rescue equipment serial number, a machine nest serial number, an unmanned aerial vehicle serial number, position information, an emergency contact telephone and the like are registered. When the background server receives the rescue request, the unmanned aerial vehicle type rescue equipment near the rescue position can be selected to be scheduled to rush to the scene for rescue.
The type of unbalanced airframe of this embodiment includes an immigration-type airframe to be immigrated into unmanned aerial vehicle-type rescue equipment or an emigration-type airframe to be emigration-type rescue equipment. It should be noted that an migrating cell is a cell with a shortage of device resources, and an migrating cell is a cell with a redundant device resource. In addition, the number of the devices to be migrated may be divided into the number of the devices to be migrated and the number of the devices to be migrated, that is, the number of the unmanned aerial vehicle type rescue devices required to migrate into or out of the unbalanced cell, and in practical applications, the number is usually a difference between the actual number of the rescue devices of each cell and the expected number of the rescue devices in the corresponding jurisdiction, for example, the actual number of the rescue devices in the cell is 3, the expected number of the rescue devices is 7, and the number of the devices to be migrated is 4.
In some embodiments of this embodiment, the step of obtaining an unbalanced nest of the unmanned rescue device to be migrated in a plurality of nests that respectively govern different regions includes: acquiring population data of the corresponding jurisdiction areas of all the nests, and acquiring the expected number of rescue equipment corresponding to the population data; and comparing the actual number of the rescue equipment of each machine nest with the expected number of the rescue equipment of the corresponding jurisdiction area, and determining the machine nest with inconsistent comparison as an unbalanced machine nest of the unmanned aerial vehicle type rescue equipment to be migrated.
Specifically, in this embodiment, the expected number of rescue devices in the region is estimated based on real-time population data (that is, the population number) of the jurisdiction region of the machine nest, then the actual number of the rescue devices in the machine nest is obtained, and then the actual number and the actual number are compared to obtain whether the current supply side can be matched with the demand side, if the actual number and the actual number are matched, the machine nest is a balanced machine nest, and if the actual number and the actual number are not matched, the machine nest is an unbalanced machine nest. Different from the situation that the unbalanced nests are judged by taking the total number of unmanned aerial vehicle type rescue equipment of the factory configuration of the nests as a reference in the related technology, the unbalanced nests are judged by taking regional real-time population data as a reference in the embodiment, and the requirements of users can be evaluated more accurately by the real-time population data, so that the unbalanced nests can be determined more objectively and accurately.
In some embodiments of this embodiment, the step of obtaining the population data of the jurisdiction corresponding to each cell includes: acquiring a population thermodynamic diagram and boundary data of corresponding jurisdiction areas of all machine nests; calculating a weight sum based on the population corresponding to each jurisdiction in the boundary data statistics population thermodynamic diagram; and calculating population data of each jurisdiction region based on the population calculation weight sum and the total population data corresponding to the population thermodynamic diagram.
As shown in fig. 2, different pixel point parameters in the population thermodynamic diagram represent different population numbers, in this embodiment, a corresponding boundary is mapped on the population thermodynamic diagram based on a jurisdiction of each cell, then a count sum of all pixel points of the jurisdiction corresponding to the population thermodynamic diagram is calculated as population data calculation weight, and then the population data of the jurisdiction corresponding to the cell is obtained by multiplying the population data by the weight.
It should be noted that the population thermodynamic diagram in this embodiment may be called from a third-party map application such as a Baidu map and a Gauss map based on a specific call interface, or may be obtained by a background server through self-processing by counting user terminal connection logs of corresponding base stations in each jurisdiction, which is not limited uniquely in this embodiment. Certainly, in practical application, the background server may also directly send a population data query request to the map application, and then the map application queries the population thermodynamic diagram based on the population data query request to obtain population data requested by the background server, and finally sends the population data obtained by query to the background server.
In addition, it should be further noted that the population data of the embodiment can also be obtained by calling a regional planning population capacity from a government and enterprise website through a specific interface, the regional planning population number is relatively stable, the population thermodynamic diagram is relatively flexible, and in practical application, the population data of the jurisdiction region can also be determined by combining the population data represented by the population thermodynamic diagram and the regional planning population capacity.
In practical applications, it is considered that population dynamic changes usually occur intensively at a few specific time periods, such as working hours and off-hours on weekdays, therefore, in order to avoid meaningless migration processing of the nest devices, the above steps of acquiring population data of the corresponding jurisdiction of each nest and acquiring an expected number of rescue devices corresponding to the population data may be triggered to be executed only when target time (for example, 45 minutes in the morning and 45 minutes in the afternoon) arrives, so as to ensure the reasonability of the migration processing time of the nest devices.
In some embodiments of this embodiment, the step of obtaining an expected number of rescue devices corresponding to the population data comprises: acquiring the place type of the jurisdiction area; determining a corresponding weight coefficient based on the location type, and determining a corresponding standard number of rescue equipment based on the population data; and calculating the expected number of rescue equipment by combining the standard number of the rescue equipment and the weight coefficient.
Specifically, the location types of the present embodiment include at least one of the following: market, motion center, old activity place, office building, the computational formula of rescue equipment expectation quantity is: m = N × P, M representing an expected number of rescue devices, N representing a standard number of rescue devices, and P representing a weight coefficient. In practical application, the nests are arranged in different places, the population composition of the different places is different, for example, most people in the sports center are sporters, most people in the old activity places are old people, most people in office buildings are young people, and even if the population number is equal, the requirements of rescue equipment under different population composition are actually different, therefore, the embodiment presets corresponding standard number of rescue equipment for each population data, namely, the number of the rescue equipment which is generally required to be equipped for the population composition is not considered under each population number, then corresponding weight coefficients are determined according to the place types related to the population composition, for example, the weight coefficient of the place with more disease-prone groups can be set higher, the weight coefficient of the place with more healthy groups can be set relatively lower, and then the product of the standard number of the rescue equipment and the weight coefficient is calculated, the expected number of rescue equipment in each jurisdiction can be obtained. Compared with the prior art that the number of the rescue devices needed by the area is judged only from the population number without considering the composition of the population components, the expected number of the rescue devices determined by the embodiment can be more suitable for the actual scene.
In some embodiments of this embodiment, the step of comparing the actual number of rescue devices in each cell with the expected number of rescue devices in each jurisdiction includes: calculating the sum of the actual number of the rescue equipment of each nest and the actual number of other types of rescue equipment of the corresponding jurisdiction area; and comparing the sum of the number with the expected number of the rescue equipment in the corresponding jurisdiction area.
Specifically, in practical application, a plurality of different types of rescue equipment can be simultaneously configured in the same area to provide a more diversified rescue path, the unmanned aerial vehicle type rescue equipment can also comprise fixed rescue equipment or vehicle-mounted rescue equipment, and the fixed rescue equipment refers to rescue equipment arranged in a rescue equipment chassis in a crowded place such as a subway station, a gymnasium, a school and the like; the vehicle-mounted rescue equipment is rescue equipment carried on traffic tools such as taxies, patrol cars and the like. In the embodiment, it is considered that rescue guarantee can be provided for regional population by other types of rescue equipment except unmanned aerial vehicle type rescue equipment, so that whether regional rescue equipment resources are consistent with the actual equipment demand or not can be measured from the sum of the number of all types of rescue equipment in a region in actual application, and the determined type of the airplane nest is more objective and accurate.
And 102, acquiring balanced nests which are positioned in the middle or near the middle of the equipment migration path of each unbalanced nest and the target nest.
Specifically, the actual number of the rescue devices in the balancing machine nest is equal to the expected number of the rescue devices in the corresponding jurisdiction of the machine nest, that is, the supply and demand of the machine nest and the corresponding jurisdiction are balanced. In practical applications, the target nests of this embodiment may be other unbalanced nests different from each unbalanced nest in type, taking an embedded nest as an example, the target nests are extracted nests; certainly, the target cell may also be a central scheduling cell set in a certain intermediate location for multiple cell jurisdictions, and the cell is specially used for providing migration devices to migration cells of the multiple cell jurisdictions and receiving migration devices of migration cells, so that unified migration management of cell clusters is realized, requirements on a device migration scheduling algorithm are low, and orderly and accurate device migration can be ensured.
In some embodiments of this embodiment, before the step of acquiring a balanced cell midway or near midway between each unbalanced cell and the device migration path of the target cell, the method further includes: the target cell is determined from all other unbalanced cells of different types with reference to the cell relative distance, centered on each unbalanced cell.
In an actual application scenario, the unbalanced nests include an entrance nest and an exit nest, and the device migration requirements of the two nests are complementary to each other, so that device migration can be performed between the unbalanced nests of different types, that is, devices to be migrated from the exit nest are migrated to the entrance nest, and the device migration requirements of the two nests can be met simultaneously by one device migration, thereby improving the efficiency of device migration scheduling. It should also be noted that the relative cell distance in this embodiment refers to the distance between each unbalanced cell and other unbalanced cells of different types.
In some embodiments of this embodiment, the specific implementation manner of the step of determining the target cell from all types of different unbalanced cells with reference to the cell relative distance by taking each unbalanced cell as the center includes, but is not limited to, the following two types:
the first method is that each unbalanced cell is taken as a center, and a plurality of other unbalanced cells with different types are selected as target cells from near to far according to the relative distance of the cells; and the number of the devices to be migrated of the unbalanced cells is equal to the sum of the number of the devices to be migrated of the corresponding target cells.
Specifically, in this embodiment, the target cell is searched based on the distance-first principle, and other unbalanced cells of different types are selected nearby for each unbalanced cell, and considering that the closest unbalanced cell may not meet the migration requirement of the current unbalanced cell, the other unbalanced cells are continuously searched nearby to meet the migration requirement of the current unbalanced cell. For example, when the currently unbalanced cell is an migrated cell a, the number of devices to be migrated is 5, and the number of devices to be migrated of a closest migrated cell b is 3, and only the migrated cell b can only satisfy a part of the device migration requirements of the migrated cell a, it is necessary to continue to search for an migrated cell c that is slightly farther from the migrated cell b until the sum of the numbers of devices to be migrated of the searched cells satisfies that the number of devices to be migrated of the migrated cell a is equal. It should be noted that, in this embodiment, the device migration scheduling may be performed uniformly after the search is completed, so as to improve the device migration efficiency, and in addition, the plurality of target nests may be located in a plurality of different search directions, and a preset angle is provided between adjacent search directions. It should also be understood that, in this embodiment, it is preferable to determine, for an unbalanced cell in the cell cluster where device migration scheduling is started first, the number of devices to be migrated may be at most as a standard.
Secondly, taking each unbalanced cell as a center, and selecting other unbalanced cells with different types which are closest to each other according to the relative distance of the cells as target cells; and the number of the devices to be migrated of the unbalanced cells is equal to that of the corresponding target cells.
Specifically, unlike the method in which the unbalanced cells and the corresponding target cells perform device migration one to many, the method uses a one to one device migration method, that is, searches for the target cells on a number-first basis, and the searched target cells may not be the closest one of all the different types of unbalanced cells to the current unbalanced cell, but require the closest one of all the different types of unbalanced cells to the current unbalanced cell, which is equal to the number of devices to be migrated in the current unbalanced cell. For example, if the currently unbalanced cell is an migrated cell a, the number of devices to be migrated is 5, the number of devices to be migrated of the closest migrated cell b is 3, the number of devices to be migrated of the migrated cell c closest to the second cell is 2, and the number of devices to be migrated of the migrated cell d closest to the third cell is 5, then the migrated cell d is determined as the target cell corresponding to the migrated cell a.
And 103, if the unbalanced machine nest is an immigration type machine nest, the target machine nest is dispatched to control unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile, the balanced machine nest is dispatched to control equivalent unmanned aerial vehicle type rescue equipment to automatically migrate to the unbalanced machine nest.
And step 104, if the unbalanced machine nest is a migratory machine nest, dispatching the unbalanced machine nest to control unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile dispatching the balanced machine nest to control equivalent unmanned aerial vehicle type rescue equipment to automatically migrate to a target machine nest.
It should be noted that the embodiment is adapted to dynamic changes of real-time population data, and performs dynamic migration on the rescue devices in the machine nest, so as to ensure that the number of the rescue devices in the machine nest meets real-time requirements, and provide sufficient rescue guarantee for users. It should also be noted that, in this embodiment, the background server intelligently counts the rescue guarantee capability of the device, and sends the scheduling instruction to the corresponding nest, and the nest controls the automatic migration of the unmanned aerial vehicle type rescue device, that is, the unmanned aerial vehicle carries the rescue device to automatically fly from the current nest to other nests, and compared with the manual investigation and migration by a special manager, the method has higher convenience and efficiency.
In practical applications, although the present embodiment selects a target cell for device migration interaction nearby for an unbalanced cell, since the balanced cell itself has no device migration requirement and is therefore excluded when searching for a cell, the relative distance between the unbalanced cell and the target cell selected nearby is not absolutely closest, and there may be a balanced cell in the middle of the unbalanced cell and the target cell. Based on this, in this embodiment, the same amount of devices in the balanced nests may be migrated to the migrating type nests, and meanwhile, the rescue devices migrated from the migrating type nests may be directly migrated to the balanced nests, that is, the device migration between the unbalanced nests is realized through the balanced nests.
Fig. 3 is a schematic diagram of device migration provided in this embodiment, where arrows in the diagram represent a device migration direction, for example, an outgoing type nest a needs to migrate 2 unmanned rescue devices, a balancing nest B has 5 unmanned rescue devices, an incoming type nest C needs to migrate 2 unmanned rescue devices, a distance between the balancing nest B and the outgoing type nest a is a first distance, a distance between the balancing nest B and the incoming type nest C is a second distance, a distance between the outgoing type nest a and the incoming type nest C is a third distance, and both the first distance and the second distance are smaller than the third distance, so that the outgoing type nest a can be controlled to migrate 2 unmanned rescue devices to the incoming type nest C while the outgoing type nest B is controlled to migrate 2 unmanned rescue devices to the balancing nest B. Through the implementation, on the one hand, the equipment migration of the two unbalanced nests does not need to be carried out the whole-process migration, the equipment migration efficiency is greatly improved, and the situation that the unmanned aerial vehicle is too much consumed due to the whole-process migration and cannot be immediately put into rescue after the follow-up migration is completed is avoided. It should also be understood that, in the device migration scheduling process, in this embodiment, a device migration path may be generated according to a device migration start-stop position, and then the corresponding unmanned rescue device is instructed to automatically migrate according to the device migration path.
In some embodiments of this embodiment, the step of acquiring a balanced cell located midway or near midway between each unbalanced cell and the device migration path of the target cell includes: planning a target area by referring to the equipment migration path between the unbalanced cell and the corresponding target cell; acquiring all balance nests in a target area; calculating a first distance and a second distance between the unbalance and each balance nest and between the target nest and each balance nest respectively; and acquiring the balance nest with the minimum sum of the first distance and the second distance from all the balance nests.
In practical application, the balanced nests are not necessarily located on the device migration paths of the unbalanced nests and the corresponding target nests, so that an area can be planned on the device migration paths, a plane is used for replacing a line to search the balanced nests, the most appropriate balanced nests are determined from the balanced nests on the basis that the total migration distance of the unmanned aerial vehicle type rescue device is shortest, and the migration efficiency and the electric quantity consumption of the unmanned aerial vehicle type rescue device in the self-moving migration process are guaranteed to the maximum extent.
In some embodiments of this embodiment, the rescue apparatus moving method of this embodiment further includes: performing association recording on the equipment migration data, the first equipment migration occurrence time and the corresponding unbalanced machine nest; and when the second equipment migration occurrence moment is reached, referring to the association record result to perform equipment reverse migration scheduling on each unbalanced machine nest.
In particular, in practical application scenarios, the population activity is generally two-point one-line oriented activity, for example, activities are generally performed in living areas and working areas in cities, and the activity occurrence time is also generally a specific time, for example, the time of going to work or off work, so that the regularity of the movement of the nest device can be obtained by referring to the regularity of the population activity to some extent. In this embodiment, device migration scheduling may be performed at a first device migration occurrence time (for example, 45 am) based on the rescue device migration method in steps 101 to 104, then the corresponding migration data, the migration occurrence time, and the nest where device migration is performed are recorded in an associated manner, and then a second device migration occurrence time (for example, 45 pm) performs reverse scheduling by directly referring to the scheduling data of the first device migration occurrence time, for example, at the first device migration occurrence time, the unbalanced nest a has migrated 2 unmanned rescue devices to the unbalanced nest C, and at the second device migration occurrence time, the unbalanced nest C migrates 2 unmanned rescue devices to the unbalanced nest a, so that the devices migrated before a are migrated back. Therefore, the device migration scheduling data is not required to be recalculated according to the complete algorithm flow at the occurrence moment of each device migration, and the system processing performance is effectively saved.
Based on the technical scheme of the embodiment of the application, the unmanned aerial vehicle type rescue equipment is scheduled to automatically migrate into or out of the unbalanced airframe, so that the instantaneity and efficiency of the migration of the airframe equipment are ensured; in addition, a balance nest between migration paths is introduced when the target nest and the unbalanced nest perform equipment migration interaction, the balance nest plays a role of a middle migration node, and the single equipment migration task is realized without whole-process migration, so that on one hand, the migration time consumption of the scheme is shorter, the equipment migration efficiency is further improved, and on the other hand, the situation that the unmanned aerial vehicle cannot be immediately put into rescue after the follow-up migration is completed due to too much electric quantity consumption caused by the whole-process migration is avoided.
Fig. 4 is a rescue equipment transferring device provided in a second embodiment of the present application. The rescue equipment migration device can be used for realizing the rescue equipment migration method in the embodiment. As shown in fig. 4, the rescue apparatus transfer device mainly includes:
the first obtaining module 401 is configured to obtain unbalanced nests of the unmanned aerial vehicle type rescue device to be migrated in a plurality of nests that respectively govern different regions, and obtain the number of devices to be migrated corresponding to each unbalanced nest; the unmanned aerial vehicle type rescue equipment comprises an unmanned aerial vehicle and rescue equipment which are detachably connected, and the type of the unbalanced airframe comprises an immigration type airframe to be immigrated into the unmanned aerial vehicle type rescue equipment or an immigration type airframe to be immigrated out of the unmanned aerial vehicle type rescue equipment;
a second obtaining module 402, configured to obtain a balanced cell midway or near the middle of the device migration path between each unbalanced cell and the target cell; the actual number of the rescue equipment of the balancing machine nest is equal to the expected number of the rescue equipment of the corresponding jurisdiction area of the machine nest;
the migration module 403 is configured to, if the unbalanced airframe is an immigrated airframe, schedule the balanced airframe to control the same amount of unmanned aerial vehicle type rescue equipment to automatically migrate to the unbalanced airframe while the scheduling target airframe controls the unmanned aerial vehicle type rescue equipment of the number of the equipment to be migrated to automatically migrate to the balanced airframe; if the unbalanced machine nest is a migratory machine nest, the unmanned aerial vehicle type rescue equipment of which the number is controlled by the dispatching unbalanced machine nest to be migrated automatically migrates to the balanced machine nest, and meanwhile, the dispatching balanced machine nest controls the unmanned aerial vehicle type rescue equipment of which the number is equal to that of the equipment to be migrated to automatically migrate to the target machine nest.
In some embodiments of this embodiment, the obtaining module, when performing the above-mentioned function of obtaining an unbalanced nest of the unmanned aerial vehicle rescue device to be migrated in a plurality of nests that respectively govern different regions, is specifically configured to: acquiring population data of the corresponding jurisdiction areas of all the nests, and acquiring the expected number of rescue equipment corresponding to the population data; and comparing the actual number of the rescue equipment of each machine nest with the expected number of the rescue equipment of the corresponding jurisdiction area, and determining the machine nest with inconsistent comparison as an unbalanced machine nest of the unmanned aerial vehicle type rescue equipment to be migrated.
Further, in some embodiments of this embodiment, when the acquiring module performs the function of acquiring the population data of the jurisdiction corresponding to each cell, the acquiring module is specifically configured to: acquiring a population thermodynamic diagram and boundary data of corresponding jurisdiction areas of all machine nests; calculating a weight sum based on the population corresponding to each jurisdiction in the boundary data statistics population thermodynamic diagram; and calculating population data of each jurisdiction region based on the population calculation weight sum and the total population data corresponding to the population thermodynamic diagram.
Further, in other embodiments of this embodiment, the obtaining module, when performing the above-described function of obtaining the expected number of rescue devices corresponding to the population data, is specifically configured to: obtaining a locale type for the jurisdiction, wherein the locale type includes at least one of: shopping malls, sports centers, old people's places of activity, office buildings; determining a corresponding weight coefficient based on the location type, and determining a corresponding standard number of rescue equipment based on the population data; calculating the expected number of rescue equipment by combining the standard number of rescue equipment and a weight coefficient, wherein the calculation formula of the expected number of rescue equipment is as follows: m = N × P, M representing an expected number of rescue devices, N representing a standard number of rescue devices, and P representing a weight coefficient.
Further, in some embodiments of this embodiment, when the function of comparing the actual number of rescue devices based on each nest with the expected number of rescue devices in the corresponding jurisdiction is executed, the obtaining module is specifically configured to: calculating the sum of the actual number of the rescue equipment of each nest and the actual number of other types of rescue equipment of the corresponding jurisdiction area; and comparing the sum of the number with the expected number of the rescue equipment in the corresponding jurisdiction area.
In some embodiments of this embodiment, the rescue apparatus transfer device further includes: a determining module for determining the target cell from all other unbalanced cells of different types with reference to cell relative distance, centered on each unbalanced cell.
Further, in some embodiments of this embodiment, the determining module is specifically configured to: taking each unbalanced cell as a center, and selecting a plurality of other unbalanced cells of different types as target cells from near to far according to the relative distance of the cells; and the number of the devices to be migrated of the unbalanced cells is equal to the sum of the number of the devices to be migrated of the corresponding target cells. In other embodiments of this embodiment, the determining module is specifically configured to: taking each unbalanced cell as a center, and selecting the single unbalanced cell with different types closest to the unbalanced cell as a target cell according to the relative distance of the cells; and the number of the devices to be migrated of the unbalanced cells is equal to that of the corresponding target cells.
In some implementations of this embodiment, the migration module is further to: performing association recording on the equipment migration data, the first equipment migration occurrence time and the corresponding unbalanced machine nest; and when the second equipment migration occurrence moment is reached, referring to the association record result to perform equipment reverse migration scheduling on each unbalanced machine nest.
It should be noted that the rescue equipment migration method in the first embodiment can be implemented based on the rescue equipment migration device provided in this embodiment, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the rescue equipment migration device described in this embodiment may refer to the corresponding process in the foregoing method embodiment, and details are not described here again.
According to the rescue equipment migration device provided by the embodiment, unmanned aerial vehicle type rescue equipment is scheduled to automatically migrate into or out of an unbalanced airframe, so that the instantaneity and efficiency of airframe equipment migration are guaranteed; in addition, a balance nest between migration paths is introduced when the target nest and the unbalanced nest perform equipment migration interaction, the balance nest plays a role of a middle migration node, and the single equipment migration task is realized without whole-process migration, so that on one hand, the migration time consumption of the scheme is shorter, the equipment migration efficiency is further improved, and on the other hand, the situation that the unmanned aerial vehicle cannot be immediately put into rescue after the follow-up migration is completed due to too much electric quantity consumption caused by the whole-process migration is avoided.
Referring to fig. 5, fig. 5 is an electronic device according to a third embodiment of the present application. The electronic device can be used for realizing the rescue equipment migration method in the embodiment. As shown in fig. 5, the electronic device mainly includes:
a memory 501, a processor 502, a bus 503, and computer programs stored on the memory 501 and executable on the processor 502, the memory 501 and the processor 502 being connected by the bus 503. The processor 502, when executing the computer program, implements the rescue apparatus migration method in the foregoing embodiments. Wherein the number of processors may be one or more.
The Memory 501 may be a high-speed Random Access Memory (RAM) Memory or a non-volatile Memory (non-volatile Memory), such as a disk Memory. The memory 501 is used for storing executable program code, and the processor 502 is coupled to the memory 501.
Further, an embodiment of the present application also provides a computer-readable storage medium, where the computer-readable storage medium may be provided in an electronic device in the foregoing embodiments, and the computer-readable storage medium may be the memory in the foregoing embodiment shown in fig. 5.
The computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the rescue apparatus migration method in the foregoing embodiments. Further, the computer-readable storage medium may be various media that can store program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a RAM, a magnetic disk, or an optical disk.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a readable storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned readable storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
It should be noted that, for the sake of simplicity, the above-mentioned method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In view of the above description of the rescue equipment migration method, device and computer-readable storage medium provided by the present application, those skilled in the art will be able to change the concept of the embodiments of the present application in the following detailed description and application scope, and in summary, the content of the present specification should not be construed as limiting the present application.
Claims (11)
1. A rescue equipment migration method is applied to a background server and is characterized by comprising the following steps:
acquiring unbalanced nests of unmanned aerial vehicle type rescue equipment to be migrated in a plurality of nests which govern different regions respectively, and acquiring the number of the equipment to be migrated corresponding to each unbalanced nest; the unmanned aerial vehicle type rescue equipment comprises an unmanned aerial vehicle and rescue equipment which are detachably connected, the type of the unbalanced airframe comprises an immigration type airframe to be immigrated into the unmanned aerial vehicle type rescue equipment or an emigration type airframe to be emigration out of the unmanned aerial vehicle type rescue equipment, the number of the equipment to be immigrated is the difference value between the actual number of the rescue equipment in each airframe and the expected number of the rescue equipment, and the expected number of the rescue equipment is related to real-time population data of the corresponding jurisdiction area of each airframe;
acquiring a balanced nest which is positioned in the middle or near the middle of the equipment migration path of each unbalanced nest and the target nest; the actual number of the rescue devices of the balancing machine nest is equal to the expected number of the rescue devices of the corresponding jurisdiction area of the machine nest;
if the unbalanced machine nest is the migration-in machine nest, scheduling the target machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile scheduling the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the same quantity to automatically migrate to the unbalanced machine nest;
and if the unbalanced machine nest is the migration-out machine nest, dispatching the unbalanced machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile dispatching the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the same quantity to automatically migrate to the target machine nest.
2. The rescue apparatus moving method according to claim 1, wherein the step of obtaining an unbalanced nest of unmanned rescue apparatuses to be moved from a plurality of nests respectively dominating different regions comprises:
acquiring population data of corresponding jurisdiction areas of all the nests, and acquiring expected number of rescue equipment corresponding to the population data;
and comparing the actual number of the rescue equipment of each machine nest with the expected number of the rescue equipment of the corresponding jurisdiction area, and determining the machine nest with inconsistent comparison as an unbalanced machine nest of the unmanned aerial vehicle type rescue equipment to be migrated.
3. The rescue apparatus moving method according to claim 2, wherein the step of obtaining the population data of the corresponding jurisdiction area of each nest comprises:
acquiring a population thermodynamic diagram and boundary data of corresponding jurisdiction areas of all machine nests;
calculating a weighted sum of corresponding demographics of each jurisdiction on the demographic thermodynamic diagram based on the boundary data;
and calculating population data of each jurisdiction based on the population calculation weight sum and the population data corresponding to the population thermodynamic diagram.
4. The rescue apparatus migration method according to claim 2, wherein the step of obtaining an expected number of rescue apparatuses corresponding to the demographic data comprises:
acquiring the place type of the jurisdiction area; wherein the venue type comprises at least one of: shopping malls, sports centers, old people's places of activity, office buildings;
determining a respective weight coefficient based on the venue type and a respective number of rescue equipment criteria based on the demographic data;
calculating the expected number of rescue equipment by combining the standard number of rescue equipment and the weight coefficient; wherein, the calculation formula of the expected number of the rescue equipment is as follows: m = N P, wherein M represents the expected number of rescue devices, N represents the standard number of rescue devices, and P represents the weight coefficient.
5. The rescue apparatus moving method according to claim 2, wherein the step of comparing the actual number of rescue apparatuses based on each of the machine nests with the expected number of rescue apparatuses of the corresponding jurisdiction comprises:
calculating the sum of the actual number of the rescue equipment of each nest and the actual number of other types of rescue equipment of the corresponding jurisdiction area;
comparing the sum of the numbers with the expected number of rescue equipment of the corresponding jurisdiction.
6. The rescue apparatus transfer method according to claim 1, wherein the step of obtaining the balanced nests located midway or near midway between the apparatus transfer paths of the unbalanced and target nests is preceded by:
centering on each of said unbalanced cells, determining said target cell from all other said unbalanced cells of different types with reference to cell relative distance.
7. The rescue apparatus migration method according to claim 6, wherein the step of determining the target cell from all the other unbalanced cells of different types with reference to the cell relative distance, centered on each unbalanced cell, comprises:
taking each unbalanced cell as a center, and selecting a plurality of other unbalanced cells of different types as the target cells from near to far according to the relative cell distance; wherein the number of devices to be migrated of the unbalanced cell is equal to the sum of the numbers of devices to be migrated of the respective plurality of target cells;
or, taking each unbalanced cell as a center, and selecting other unbalanced cells with the closest distance and different single types as the target cells according to the relative cell distance; wherein the number of devices to be migrated of the unbalanced cell is equal to the number of devices to be migrated of the corresponding target cell.
8. The rescue apparatus transfer method according to any one of claims 1 to 7, further comprising:
performing association recording on the equipment migration data, the first equipment migration occurrence time and the corresponding unbalanced machine nest;
and when the second equipment migration occurrence moment is reached, referring to the association record result to perform equipment reverse migration scheduling on each unbalanced machine nest.
9. The utility model provides a rescue equipment migration device, is applied to backend server, its characterized in that includes:
the first acquisition module is used for acquiring unbalanced nests of unmanned aerial vehicle type rescue equipment to be migrated in a plurality of nests which govern different regions respectively and acquiring the number of the equipment to be migrated corresponding to each unbalanced nest; the unmanned aerial vehicle type rescue equipment comprises an unmanned aerial vehicle and rescue equipment which are detachably connected, the type of the unbalanced airframe comprises an immigration type airframe to be immigrated into the unmanned aerial vehicle type rescue equipment or an emigration type airframe to be emigration out of the unmanned aerial vehicle type rescue equipment, the number of the equipment to be immigrated is the difference value between the actual number of the rescue equipment in each airframe and the expected number of the rescue equipment, and the expected number of the rescue equipment is related to real-time population data of the corresponding jurisdiction area of each airframe;
the second acquisition module is used for acquiring the balanced nests which are positioned in the middle or the vicinity of the middle of the equipment migration path of each unbalanced nest and the target nest; the actual number of the rescue devices of the balancing machine nest is equal to the expected number of the rescue devices of the corresponding jurisdiction area of the machine nest;
the migration module is used for scheduling the target machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest and scheduling the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity equal to the quantity of the equipment to be migrated to automatically migrate to the unbalanced machine nest if the unbalanced machine nest is the migrated machine nest; and if the unbalanced machine nest is the migration-out machine nest, dispatching the unbalanced machine nest to control the unmanned aerial vehicle type rescue equipment with the quantity of the equipment to be migrated to automatically migrate to the balanced machine nest, and meanwhile dispatching the balanced machine nest to control the unmanned aerial vehicle type rescue equipment with the same quantity to automatically migrate to the target machine nest.
10. An electronic device, comprising: a memory, a processor, and a bus;
the bus is used for realizing connection communication between the memory and the processor;
the processor is configured to execute a computer program stored on the memory;
the processor, when executing the computer program, performs the steps of the method of any one of claims 1 to 8.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111216788.6A CN113657692B (en) | 2021-10-19 | 2021-10-19 | Rescue equipment migration method and device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111216788.6A CN113657692B (en) | 2021-10-19 | 2021-10-19 | Rescue equipment migration method and device and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113657692A CN113657692A (en) | 2021-11-16 |
| CN113657692B true CN113657692B (en) | 2022-02-11 |
Family
ID=78494627
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111216788.6A Active CN113657692B (en) | 2021-10-19 | 2021-10-19 | Rescue equipment migration method and device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113657692B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104616093A (en) * | 2014-12-23 | 2015-05-13 | 北京航天控制仪器研究所 | Earthquake disaster rescue command and dispatch system and method |
| CN105426997A (en) * | 2015-11-18 | 2016-03-23 | 西南交通大学 | Intelligent dispatching and application management system of urban public bicycles and implementation method thereof |
| CN108922249A (en) * | 2018-07-05 | 2018-11-30 | 武汉捷特航空科技有限公司 | A kind of mobile AED rescue system of very-long-range unmanned plane |
| CN112631326A (en) * | 2020-12-08 | 2021-04-09 | 广州中科云图智能科技有限公司 | Air-ground integrated unmanned aerial vehicle cluster scheduling method, device and system |
-
2021
- 2021-10-19 CN CN202111216788.6A patent/CN113657692B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104616093A (en) * | 2014-12-23 | 2015-05-13 | 北京航天控制仪器研究所 | Earthquake disaster rescue command and dispatch system and method |
| CN105426997A (en) * | 2015-11-18 | 2016-03-23 | 西南交通大学 | Intelligent dispatching and application management system of urban public bicycles and implementation method thereof |
| CN108922249A (en) * | 2018-07-05 | 2018-11-30 | 武汉捷特航空科技有限公司 | A kind of mobile AED rescue system of very-long-range unmanned plane |
| CN112631326A (en) * | 2020-12-08 | 2021-04-09 | 广州中科云图智能科技有限公司 | Air-ground integrated unmanned aerial vehicle cluster scheduling method, device and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113657692A (en) | 2021-11-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11007650B2 (en) | Robot procurement apparatus and robot procurement method | |
| CN110350609B (en) | AGV charging management method and system, equipment and storage medium | |
| CN111897654B (en) | Method and device for migrating application to cloud platform, electronic equipment and storage medium | |
| CN109946998B (en) | Unmanned aerial vehicle pasture cruising method and system | |
| CN113222305B (en) | Order scheduling method, order scheduling device, storage medium and electronic equipment | |
| US10877789B2 (en) | Migrating VMs based on electricity costs of a plurality of data centers and resource load index, and lifetime of a plurality of VMs | |
| CN107864224A (en) | A kind of team's collection approach and system | |
| CN114121240A (en) | AED (automatic guided Equipment) scheduling method and device and computer readable storage medium | |
| CN105144109A (en) | Distributed data center technology | |
| CN112783607A (en) | Task deployment method and device in container cluster | |
| Liu et al. | Ambulance dispatch via deep reinforcement learning | |
| CN101938814A (en) | Mobile terminal paging method and mobile call center equipment | |
| da Silva et al. | Evaluation of the employment of UAVs as fog nodes | |
| CN109495933A (en) | Equipment of the core network and switchover policy delivery method and device | |
| CN114496200B (en) | Rescue equipment scheduling method and device and computer readable storage medium | |
| Saravanan et al. | Advance Map Reduce Task Scheduling algorithm using mobile cloud multimedia services architecture | |
| CN113657692B (en) | Rescue equipment migration method and device and computer readable storage medium | |
| CN116755867B (en) | Satellite cloud-oriented computing resource scheduling system, method and storage medium | |
| CN112579283B (en) | Resource scheduling method and system for edge node of electric power Internet of things | |
| CN113157383A (en) | Method for dynamically adjusting super-proportion in OpenStack environment | |
| KR102253349B1 (en) | Activity information based smart office system | |
| CN115834586A (en) | Communication equipment deployment method and device, electronic equipment and readable storage medium | |
| Aucinas et al. | Energy efficient mobile M2M communications | |
| CN113837452A (en) | Mobile charging path planning method for underwater wireless sensor network | |
| CN114035940A (en) | Resource allocation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |