CN116395147B - Pressure and flow determining method and device for simulating unmanned aerial vehicle spraying system - Google Patents
Pressure and flow determining method and device for simulating unmanned aerial vehicle spraying system Download PDFInfo
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- CN116395147B CN116395147B CN202310528410.2A CN202310528410A CN116395147B CN 116395147 B CN116395147 B CN 116395147B CN 202310528410 A CN202310528410 A CN 202310528410A CN 116395147 B CN116395147 B CN 116395147B
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- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000005507 spraying Methods 0.000 title claims abstract description 41
- 239000007921 spray Substances 0.000 claims abstract description 107
- 238000012545 processing Methods 0.000 claims abstract description 25
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 77
- 238000004590 computer program Methods 0.000 claims description 5
- 238000012360 testing method Methods 0.000 description 26
- 239000003814 drug Substances 0.000 description 12
- 229940079593 drug Drugs 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 230000002349 favourable effect Effects 0.000 description 3
- 239000000575 pesticide Substances 0.000 description 3
- 238000012795 verification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012377 drug delivery Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M7/00—Special adaptations or arrangements of liquid-spraying apparatus for purposes covered by this subclass
- A01M7/0089—Regulating or controlling systems
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M7/00—Special adaptations or arrangements of liquid-spraying apparatus for purposes covered by this subclass
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D1/00—Dropping, ejecting, releasing, or receiving articles, liquids, or the like, in flight
- B64D1/16—Dropping or releasing powdered, liquid, or gaseous matter, e.g. for fire-fighting
- B64D1/18—Dropping or releasing powdered, liquid, or gaseous matter, e.g. for fire-fighting by spraying, e.g. insecticides
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64F—GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT; DESIGNING, MANUFACTURING, ASSEMBLING, CLEANING, MAINTAINING OR REPAIRING AIRCRAFT, NOT OTHERWISE PROVIDED FOR; HANDLING, TRANSPORTING, TESTING OR INSPECTING AIRCRAFT COMPONENTS, NOT OTHERWISE PROVIDED FOR
- B64F5/00—Designing, manufacturing, assembling, cleaning, maintaining or repairing aircraft, not otherwise provided for; Handling, transporting, testing or inspecting aircraft components, not otherwise provided for
- B64F5/60—Testing or inspecting aircraft components or systems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2101/00—UAVs specially adapted for particular uses or applications
- B64U2101/40—UAVs specially adapted for particular uses or applications for agriculture or forestry operations
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2101/00—UAVs specially adapted for particular uses or applications
- B64U2101/45—UAVs specially adapted for particular uses or applications for releasing liquids or powders in-flight, e.g. crop-dusting
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Pest Control & Pesticides (AREA)
- Insects & Arthropods (AREA)
- Wood Science & Technology (AREA)
- Zoology (AREA)
- Environmental Sciences (AREA)
- Aviation & Aerospace Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Transportation (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the application discloses a method and a device for determining pressure and flow of a simulated unmanned aerial vehicle spraying system, wherein the method comprises the following steps: a data processing platform capable of simulating an unmanned aerial vehicle spraying system is built; acquiring a plurality of key data in a target application scene through a data processing platform; the plurality of key data at least comprises the number of the spray heads of the specific model, pressure data corresponding to the number of the spray heads of the specific model and total flow data corresponding to the number of the spray heads of the specific model; and determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence according to analysis results obtained by analyzing the plurality of pieces of key data.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method and a device for determining pressure and flow of a simulated unmanned aerial vehicle spraying system.
Background
At present, unmanned aerial vehicle pesticide system of scattering comprises medical kit, integrative water pump (including electricity accent, motor, pump head), shower nozzle and water pipe, and integrative water pump inlet passes through the water pipe and is connected with the medical kit, and integrative water pump outlet is connected with the shower nozzle, and integrative water pump power input line is connected with the battery, and the throttle is connected with the accuse water pump accuse throttle that flies to control, constitutes unmanned aerial vehicle pesticide sprinkler system. However, in the above unmanned aerial vehicle pesticide spraying system, key data such as pressure or the relationship between flow and spray head cannot be accurately measured, and therefore, repeated flight verification is required, which results in high cost and failure to be supported by advantageous data.
How to simulate the unmanned aerial vehicle spraying application scene so as to obtain the key data consistent with and accurate to the real application scene is a technical problem to be solved.
Disclosure of Invention
Based on this, it is necessary to provide a pressure and flow determining method, a device, a storage medium, an electronic device and a computer program product for simulating a drug spraying system of an unmanned aerial vehicle, aiming at the fact that the existing method cannot simulate the drug spraying application scene of the unmanned aerial vehicle so as to acquire key data consistent and accurate with the real application scene.
In a first aspect, an embodiment of the present application provides a method for determining pressure and flow rate of a simulated Unmanned Aerial Vehicle (UAV) drug spraying system, where the method includes:
a data processing platform capable of simulating an unmanned aerial vehicle spraying system is built;
acquiring a plurality of key data in a target application scene through the data processing platform; the key data at least comprise the number of the spray heads of the specific model, pressure data corresponding to the number of the spray heads of the specific model and total flow data corresponding to the number of the spray heads of the specific model;
and determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence according to analysis results obtained by analyzing the plurality of pieces of key data.
Preferably, the determining the correspondence between the specific model of the spray head and the flow and the pressure sequentially includes:
and determining a first corresponding relation between the number of the spray heads with the specific model and the flow rate, and determining a second corresponding relation between the number of the spray heads with the specific model and the pressure.
Preferably, the determining the first correspondence between the number of the spray heads of the specific model and the flow rate includes:
under the same throttle state, the first flow corresponding to the a spray heads is larger than the second flow corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
Preferably, the determining the second correspondence between the number of the spray heads of the specific model and the pressure includes:
under the same throttle state, the first pressure corresponding to the a spray heads is smaller than the second pressure corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
Preferably, the determining the correspondence between the specific model of the spray head and the flow and the pressure sequentially includes:
determining a third correspondence of the integrated water pumps of different capacities to the flow rate in the case of the same number of the specific-model nozzles, and
and determining a fourth corresponding relation between the integrated water pumps with different capacities and the pressure under the condition of the same number of the spray heads with the specific model.
Preferably, the determining the third correspondence between the integrated water pumps with different capacities and the flow rate in the case of the same number of the spray heads with the specific model includes:
in the case of the same number of the specific type of spray heads, the third flow rate provided by the m lift pump is greater than the fourth flow rate provided by the n lift pump, wherein m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
Preferably, the determining the fourth correspondence between the integrated water pumps of different capacities and the pressures in the case of the same number of the specific types of spray heads includes:
in the case of the same number of the specific type of spray heads, the third pressure provided by the m lift pump is greater than the fourth pressure provided by the n lift pump, wherein m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
In a second aspect, an embodiment of the present application provides a pressure and flow determining device for simulating a drug spraying system of an unmanned aerial vehicle, the device including:
the building module is used for building a data processing platform capable of simulating the unmanned aerial vehicle spraying system;
the acquisition module is used for acquiring a plurality of items of key data in a target application scene through the data processing platform; the key data at least comprise the number of the spray heads of the specific model, pressure data corresponding to the number of the spray heads of the specific model and total flow data corresponding to the number of the spray heads of the specific model;
and the determining module is used for determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence according to the analysis results obtained by analyzing the plurality of key data.
In a third aspect, embodiments of the present application provide a computer readable storage medium storing a computer program for performing the above-described method steps.
In a fourth aspect, an embodiment of the present application provides an electronic device, including:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the method steps described above.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a computer program which, when executed by a processor, implements the above-mentioned method steps.
In the embodiment of the application, a data processing platform capable of simulating an unmanned aerial vehicle spraying system is built; acquiring a plurality of key data in a target application scene through a data processing platform; the plurality of key data at least comprises the number of the spray heads of the specific model, pressure data corresponding to the number of the spray heads of the specific model and total flow data corresponding to the number of the spray heads of the specific model; and determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence according to analysis results obtained by analyzing the plurality of pieces of key data. According to the pressure and flow determining method for simulating the unmanned aerial vehicle spraying system, provided by the embodiment of the application, as the data processing platform capable of simulating the unmanned aerial vehicle spraying system is introduced, and the analysis results obtained by analyzing a plurality of pieces of key data in a target application scene obtained through the data processing platform can accurately determine the corresponding relation between a specific model of spray head and flow and pressure in sequence, the following is achieved: can accurately simulate unmanned aerial vehicle spouts medicine application scenario to obtain unanimous and accurate key data with real application scenario.
Drawings
Exemplary embodiments of the present application may be more fully understood by reference to the following drawings. The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, and not constitute a limitation to the application. In the drawings, like reference numerals generally refer to like parts or steps.
FIG. 1 is a flow chart of a method for determining pressure and flow rate of a simulated unmanned aerial vehicle spray system according to an exemplary embodiment of the application;
fig. 2 is a schematic diagram of a data processing platform constructed in a specific application scenario and capable of simulating a drug spraying system of an unmanned aerial vehicle;
FIG. 3 is a schematic diagram of 8L water pump flow, rotational speed and pressure test data in a specific application scenario;
FIG. 4 is a schematic diagram of 8L water pump flow, rotation speed and pressure test data and 5L water pump flow, rotation speed and pressure test data in a specific application scenario;
fig. 5 is a schematic structural diagram of a pressure and flow determining device 500 for simulating a drug spraying system of a unmanned aerial vehicle according to an exemplary embodiment of the application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
In addition, the terms "first" and "second" etc. are used to distinguish different objects and are not used to describe a particular order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
The embodiment of the application provides a method and a device for determining pressure and flow of a simulated unmanned aerial vehicle spraying system, and the method and the device are described below with reference to the accompanying drawings.
Referring to fig. 1, which is a flowchart illustrating a method for determining pressure and flow rate of a simulated unmanned aerial vehicle drug spraying system according to some embodiments of the present application, as shown in fig. 1, the method for determining pressure and flow rate of a simulated unmanned aerial vehicle drug spraying system may include the following steps:
step S101: and a data processing platform capable of simulating the unmanned aerial vehicle spraying system is built.
Fig. 2 is a schematic diagram of a data processing platform constructed in a specific application scenario and capable of simulating a drug spraying system of an unmanned aerial vehicle.
The process of constructing a data processing platform capable of simulating the unmanned aerial vehicle spraying system shown in fig. 2 is specifically as follows:
(1) the device comprises: the device comprises a water tank, a flowmeter, a power supply, a valve, a pressure gauge, a water pump, a spray head, a quick-dismantling joint and a water storage tank.
(2) The tank was filled with about 50L of water and the flowmeter was calibrated.
(3) Building a spray head water storage tank: the 12 spray heads and 4 spray heads are fixed in a row in the water storage tank, so that the lowest end of the spray heads is positioned above water during test. The water storage tank is covered, so that water atomized by the spray head is prevented from drifting out of the water storage tank during test.
(4) The water tank and the water inlet of the water pump to be measured of the flowmeter are connected together through the water pipe by a quick connector.
(5) The water outlet of the water pump to be tested is connected with the spray head control valve through a water pipe by a quick connector.
(6) The spray head control valve is connected with the spray heads and the pressure gauge through the water pipe, and one valve controls the two spray heads; the water pipe connected with the water tank by one valve is used for testing the empty current-carrying capacity.
(7) The water storage tank, the water suction pump and the water tank are connected together through the water pipe, and when the water quantity of the water tank is insufficient, the water of the water storage tank is pumped into the water tank through the water suction pump for recycling.
The test process for testing through the data processing platform which is constructed in the specific application scene shown in fig. 2 and can simulate the unmanned aerial vehicle spraying system is specifically as follows:
(1) no-load test: and (3) installing the water pump at the position of the water pump to be tested, closing all the spray head valves, opening the idle test valve, writing an accelerator for 1 minute by using 316 to test the idle current capacity, and directly reading the flow count value after the test is completed. It should be noted that: the flowmeter was cleared prior to the experiment.
(2) And (3) carrying out test: the water pump is arranged at the position of the water pump to be tested, the idle test valve is turned off, all valves with the spray heads are turned on, and the number of the valves with the spray heads can be controlled to carry out different load tests by adjusting the number of the valves with the spray heads (the switch, the valve on, the number of the spray heads is increased, the valve off and the number of the spray heads is reduced).
(3) Throttle size, shower nozzle quantity, flow, pressure relation test: according to fig. 3 and 4, the flow and pressure under different throttle states and different spray heads are tested by adjusting the throttle or the number of the bumps (in the verification process, the throttle size and the spray heads are two variables which are adjusted, a single variable method is changed to conduct test control, if the throttle is firstly changed by 8 spray heads to conduct test, the flow, pressure, rotating speed and current data of different throttle are measured under 8 spray heads to conduct record, the spray heads are changed after the test is completed, and the above test is repeated. It should be noted that: the throttle size, the rotating speed, the pressure and the flow under different numbers of the spray heads can be tested.
Fig. 3 is a schematic diagram of 8L water pump flow, rotation speed and pressure test data in a specific application scenario.
From this set of test data as shown in fig. 3, it can be clearly known that: the 8L water pump is matched with the VP10015 model sprayer to be optimally used and matched in a 48V state, so that favorable data support is provided for the actual model selection matching process, the use efficiency in the actual use process is improved, and the energy waste is avoided.
Step S102: acquiring a plurality of key data in a target application scene through a data processing platform; the plurality of key data at least comprises the number of the spray heads with the specific model, pressure data corresponding to the number of the spray heads with the specific model and total flow data corresponding to the number of the spray heads with the specific model.
Step S103: and determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence according to analysis results obtained by analyzing the plurality of key data.
In one possible implementation manner, determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence comprises the following steps:
determining a first corresponding relation between the number of the spray heads with specific types and the flow rate, and determining a second corresponding relation between the number of the spray heads with specific types and the pressure.
In one possible implementation manner, determining a first correspondence between the number of spray heads of a specific model and the flow rate includes the following steps:
under the same throttle state, the first flow corresponding to the a spray heads is larger than the second flow corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
In one possible implementation manner, determining the second correspondence between the number of the spray heads of the specific model and the pressure includes the following steps:
under the same throttle state, the first pressure corresponding to the a spray heads is smaller than the second pressure corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
Fig. 3 is a schematic diagram of 8L water pump flow, rotation speed and pressure test data in a specific application scenario.
As shown in the test data of fig. 3: the influence of different collision numbers on pressure and flow can be measured, for example, under the same throttle state, the flow of the number of 8 spray heads is about 1L/min higher than the flow of the number of 6 spray heads, but the pressure required to be provided is smaller than 0.06Mpa, and the data are all key data, so that favorable data support is provided for the number of spray heads and the pressure-resistant type selection of a water pipe.
As can be seen from the data shown in fig. 3: through changing the shower nozzle, can verify under the same operating mode, the influence situation of different shower nozzles to pressure and flow.
In one possible implementation manner, determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence comprises the following steps:
determining a third correspondence of the integrated water pumps of different capacities to the flow rate in the case of a number of heads of the same specific model, and
in the case of a specific model of the head having the same number, a fourth correspondence of the integrated water pumps of different capacities to the pressure is determined.
In one possible implementation manner, in the case of having the same number of nozzles of a specific model, determining a third correspondence relationship between the integrated water pumps of different capacities and the flow rate, includes the following steps:
in the case of a number of nozzles of a specific type, the third flow rate provided by the m lift pump is greater than the fourth flow rate provided by the n lift pump, where m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
In one possible implementation, in the case of a specific number of nozzles of the same specific type, a fourth correspondence of the pressure with the integral water pumps of different capacities is determined, comprising the following steps:
in the case of a number of nozzles of a specific type, the third pressure provided by the m lift pump is greater than the fourth pressure provided by the n lift pump, where m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
Fig. 4 is a schematic diagram of 8L water pump flow, rotation speed and pressure test data and 5L water pump flow, rotation speed and pressure test data in a specific application scenario.
As can be seen from the data shown in fig. 4: by changing different water pumps, the influence of different integrated water pumps on pressure and flow is tested under the same working condition, as shown in fig. 4, under the quantity of 8 spray heads, the flow provided by the 8L water pump is about 0.5L greater than that provided by the 5L water pump, and the pressure is also about 0.08Mpa, which are key data, so that favorable data support is provided for the type selection of the integrated water pump.
As can be seen from the data shown in fig. 4: through changing integrative water pump, can verify under the same operating mode, the influence of different integrative water pumps to pressure and flow.
According to the pressure and flow determining method for simulating the unmanned aerial vehicle spraying system, provided by the embodiment of the application, as the data processing platform capable of simulating the unmanned aerial vehicle spraying system is introduced, and the analysis results obtained by analyzing a plurality of pieces of key data in a target application scene obtained through the data processing platform can accurately determine the corresponding relation between a specific model of spray head and flow and pressure in sequence, the following is achieved: can accurately simulate unmanned aerial vehicle spouts medicine application scenario to obtain unanimous and accurate key data with real application scenario.
In the above embodiment, a method for determining pressure and flow rate of the simulated unmanned aerial vehicle spraying system is provided, and correspondingly, the application also provides a device for determining pressure and flow rate of the simulated unmanned aerial vehicle spraying system. The pressure and flow determining device of the simulated unmanned aerial vehicle spraying system provided by the embodiment of the application can implement the pressure and flow determining method of the simulated unmanned aerial vehicle spraying system, and the pressure and flow determining device of the simulated unmanned aerial vehicle spraying system can be realized in a mode of software, hardware or combination of software and hardware. For example, the pressure and flow determination device of the simulated unmanned aerial vehicle spray system may include integrated or separate functional modules or units to perform the corresponding steps in the methods described above.
Referring to fig. 5, a schematic diagram of a pressure and flow determining device for simulating a drug spraying system of a unmanned aerial vehicle according to some embodiments of the application is shown. Since the apparatus embodiments are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points. The device embodiments described below are merely illustrative.
As shown in fig. 5, the pressure and flow determining device 500 of the simulated unmanned aerial vehicle drug delivery system may include:
a building module 501, configured to build a data processing platform capable of simulating a spraying system of the unmanned aerial vehicle;
the acquiring module 502 is configured to acquire a plurality of items of key data in a target application scenario through a data processing platform; the plurality of key data at least comprises the number of the spray heads of the specific model, pressure data corresponding to the number of the spray heads of the specific model and total flow data corresponding to the number of the spray heads of the specific model;
and the determining module 503 is configured to determine, according to analysis results obtained by analyzing the plurality of key data, a corresponding relationship between the specific model of the nozzle and the flow and the pressure in sequence.
In some implementations of the embodiments of the application, the determining module 503 is configured to:
determining a first corresponding relation between the number of the spray heads with specific types and the flow rate, and determining a second corresponding relation between the number of the spray heads with specific types and the pressure.
In some implementations of the embodiments of the present application, the determining module 503 is specifically configured to:
under the same throttle state, the first flow corresponding to the a spray heads is larger than the second flow corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
In some implementations of the embodiments of the present application, the determining module 503 is specifically configured to:
under the same throttle state, the first pressure corresponding to the a spray heads is smaller than the second pressure corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
In some implementations of the embodiments of the application, the determining module 503 is configured to:
determining a third correspondence of the integrated water pumps of different capacities to the flow rate in the case of a number of heads of the same specific model, and
in the case of a specific model of the head having the same number, a fourth correspondence of the integrated water pumps of different capacities to the pressure is determined.
In some implementations of the embodiments of the present application, the determining module 503 is specifically configured to:
in the case of a number of nozzles of a specific type, the third flow rate provided by the m lift pump is greater than the fourth flow rate provided by the n lift pump, where m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
In some implementations of the embodiments of the present application, the determining module 503 is specifically configured to:
in the case of a number of nozzles of a specific type, the third pressure provided by the m lift pump is greater than the fourth pressure provided by the n lift pump, where m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
In some implementations of the embodiments of the present application, the pressure and flow determining device 500 for a simulated unmanned aerial vehicle spraying system provided by the embodiments of the present application has the same beneficial effects as the pressure and flow determining method for a simulated unmanned aerial vehicle spraying system provided by the foregoing embodiments of the present application due to the same inventive concept.
The embodiment of the application also provides an electronic device corresponding to the method for determining the pressure and the flow of the simulated unmanned aerial vehicle spraying system provided by the previous embodiment, wherein the electronic device can be an electronic device for a server, such as a server, and comprises an independent server, a distributed server cluster and the like, so as to execute the method for determining the pressure and the flow of the simulated unmanned aerial vehicle spraying system; the electronic device may also be an electronic device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, etc., to execute the pressure and flow determining method for simulating the unmanned aerial vehicle spraying system.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description.
Claims (9)
1. A method for determining pressure and flow rate of a simulated unmanned aerial vehicle spray system, the method comprising:
a data processing platform capable of simulating an unmanned aerial vehicle spraying system is built;
acquiring a plurality of key data in a target application scene through the data processing platform; the key data at least comprise the number of the spray heads of the specific model, pressure data corresponding to the number of the spray heads of the specific model and total flow data corresponding to the number of the spray heads of the specific model;
determining the corresponding relation between the specific model of spray head and flow and pressure in sequence according to analysis results obtained by analyzing the plurality of pieces of key data;
the determining the corresponding relation between the specific model of the spray head and the flow and the pressure in sequence comprises the following steps:
determining a third correspondence of the integrated water pumps of different capacities to the flow rate in the case of the same number of the specific-model nozzles, and
under the condition of having the same number of the spray heads with the specific model, determining a fourth corresponding relation between the integrated water pumps with different capacities and the pressure; by changing different water pumps, the influence of different integrated water pumps on pressure and flow is tested under the same working condition.
2. The method according to claim 1, wherein determining the correspondence between the specific model of the nozzle and the flow rate and the pressure sequentially comprises:
and determining a first corresponding relation between the number of the spray heads with the specific model and the flow rate, and determining a second corresponding relation between the number of the spray heads with the specific model and the pressure.
3. The method according to claim 2, wherein determining the first correspondence between the number of the specific types of nozzles and the flow rate includes:
under the same throttle state, the first flow corresponding to the a spray heads is larger than the second flow corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
4. The method according to claim 1, wherein determining the second correspondence between the number of the specific type of nozzles and the pressure includes:
under the same throttle state, the first pressure corresponding to the a spray heads is smaller than the second pressure corresponding to the b spray heads, wherein a is larger than b, a is a positive integer larger than 1, and b is a positive integer larger than 1.
5. The method according to claim 1, wherein determining a third correspondence of integrated water pumps of different capacities to flow rates with the same number of heads of the specific model includes:
in the case of the same number of the specific type of spray heads, the third flow rate provided by the m lift pump is greater than the fourth flow rate provided by the n lift pump, wherein m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
6. The method of claim 1, wherein determining a fourth correspondence of integrated water pumps of different capacities to pressure with the same number of spray heads of the particular model comprises:
in the case of the same number of the specific type of spray heads, the third pressure provided by the m lift pump is greater than the fourth pressure provided by the n lift pump, wherein m is greater than n, m is a positive integer greater than 1, and n is a positive integer greater than 1.
7. A pressure and flow determination device for simulating a unmanned aerial vehicle spray system, the device comprising:
the building module is used for building a data processing platform capable of simulating the unmanned aerial vehicle spraying system;
the acquisition module is used for acquiring a plurality of items of key data in a target application scene through the data processing platform; the key data at least comprise the number of the spray heads of the specific model, pressure data corresponding to the number of the spray heads of the specific model and total flow data corresponding to the number of the spray heads of the specific model;
the determining module is used for determining the corresponding relation between the specific model of spray head and the flow and the pressure in sequence according to analysis results obtained by analyzing the plurality of key data;
the determining module is specifically configured to:
determining a third correspondence of the integrated water pumps of different capacities to the flow rate in the case of the same number of the specific-model nozzles, and
under the condition of having the same number of the spray heads with the specific model, determining a fourth corresponding relation between the integrated water pumps with different capacities and the pressure; by changing different water pumps, the influence of different integrated water pumps on pressure and flow is tested under the same working condition.
8. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for executing the method of any of the preceding claims 1 to 6.
9. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the method of any one of the preceding claims 1 to 6.
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