CN110673551A - Passive Internet of things sensor system and method - Google Patents
Passive Internet of things sensor system and method Download PDFInfo
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- CN110673551A CN110673551A CN201910853362.8A CN201910853362A CN110673551A CN 110673551 A CN110673551 A CN 110673551A CN 201910853362 A CN201910853362 A CN 201910853362A CN 110673551 A CN110673551 A CN 110673551A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/41855—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4189—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the transport system
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
- H02J50/90—Circuit arrangements or systems for wireless supply or distribution of electric power involving detection or optimisation of position, e.g. alignment
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0063—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with circuits adapted for supplying loads from the battery
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2639—Energy management, use maximum of cheap power, keep peak load low
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- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a passive Internet of things sensor system and a passive Internet of things sensor method. The method comprises the following steps: the unmanned vehicle is used for sending power supply energy to the passive sensing subsystem; the method comprises the steps that a passive sensing subsystem is operated and detected according to an obtained first real-time route, a sensor in a first preset range is obtained, the sensor in the first preset range is used as a first target sensor, and first measured data sent by the first target sensor are obtained; the passive sensing subsystem is used for receiving power energy sent by the unmanned vehicle, starting a first target sensor in the passive sensing subsystem to acquire first measured data and sending the first measured data to the unmanned vehicle, so that a sensor in the passive sensing subsystem does not need to be configured with a power supply, the purchase cost of the sensor is reduced, and the situation that power energy is provided for the first target sensor corresponding to the passive sensing subsystem only when which sensor is needed to acquire the first measured data is realized, and the utilization rate of the power energy is effectively improved.
Description
Technical Field
The invention relates to the technical field of sensors, in particular to a passive Internet of things sensor system and a passive Internet of things sensor method.
Background
With the continuous development of modern agriculture, sensors are required to be laid in a large area in many agricultural scenes. In practical application, in order to observe and know the growth condition of crops more comprehensively, the sensors are required to be constructed in an all-around manner so as to acquire more comprehensive data. Such as sensors for measuring soil conditions, sensors for measuring light, and meteorological sensors. However, most sensors in the current market are powered by solar energy or carry a power supply, so that the unit price of the sensor is relatively high. In addition, each sensor needs to be powered when in work, but according to actual needs, the sensors do not need to be in a working state all the time, and the accumulation of the actual working time is short. If the sensor is continuously charged in a wired manner, the sensor does not need to continuously work to acquire data, so that the energy waste of a power supply is caused.
Disclosure of Invention
The invention provides a passive internet of things sensor system and a passive internet of things sensor method, aiming at solving the problems of high cost and power supply energy waste caused by the need of acquiring power supply energy of a sensor in the background art.
The technical scheme for solving the technical problems is as follows: a passive internet of things sensor system, comprising:
the unmanned vehicle is used for sending power supply energy to the passive sensing subsystem; the method comprises the steps that a passive sensing subsystem is operated and detected according to an obtained first real-time route, a sensor in a first preset range is obtained, the sensor in the first preset range is used as a first target sensor, and first measured data sent by the first target sensor are obtained;
and the passive sensing subsystem is used for receiving the power supply energy sent by the unmanned vehicle, starting a first target sensor in the passive sensing subsystem to acquire first measured data and sending the first measured data to the unmanned vehicle.
The invention has the beneficial effects that: the power supply energy is sent to the passive sensing subsystem through the unmanned vehicle, so that the sensor in the passive sensing subsystem does not need to be configured with a power supply, and the purchase cost of the sensor is reduced. The unmanned vehicle runs according to the acquired first real-time route and detects the passive sensing subsystem to acquire the first target sensor within the first preset range, so that power supply energy is provided for the corresponding first target sensor in the passive sensing subsystem only when which sensor is required to acquire first measured data, and the utilization rate of the power supply energy is effectively improved.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the unmanned vehicle comprises an unmanned vehicle battery, an unmanned vehicle power management circuit, an unmanned vehicle data storage module, an unmanned vehicle navigation module, an unmanned vehicle control circuit, an unmanned vehicle communication management circuit, an unmanned vehicle communication antenna and an energy transmitting module;
an unmanned vehicle battery for providing power supply energy to the unmanned vehicle and the passive sensing subsystem;
the unmanned vehicle power supply management circuit is used for managing an unmanned vehicle battery and sending power supply energy of the unmanned vehicle battery to the energy transmitting module and the unmanned vehicle control circuit;
the unmanned vehicle data storage module is used for storing data corresponding to the unmanned vehicle;
the unmanned vehicle navigation module is used for guiding the unmanned vehicle to move according to a first real-time route in the unmanned vehicle data storage module;
the unmanned vehicle control circuit is used for controlling the operation of the unmanned vehicle power management circuit, the unmanned vehicle data storage module, the unmanned vehicle navigation module and the unmanned vehicle communication management circuit;
the unmanned vehicle communication management circuit is used for controlling the operation of the unmanned vehicle communication antenna;
the unmanned vehicle communication antenna is used for controlling the unmanned vehicle to communicate with the passive sensing subsystem;
and the energy transmitting module is used for transmitting power energy to the passive sensing subsystem.
Further, in this embodiment, the battery for the unmanned vehicle may be a battery or a battery pack that is charged by an external power supply or solar energy.
The beneficial effect of adopting the further scheme is that: the unmanned vehicle battery is arranged on the unmanned vehicle to provide power energy for the unmanned vehicle power management circuit, the unmanned vehicle data storage module, the unmanned vehicle navigation module, the unmanned vehicle control circuit, the unmanned vehicle communication antenna and the energy emission module on the unmanned vehicle, so that the normal operation of the unmanned vehicle is ensured. The unmanned vehicle control circuit controls the energy emission module to send power energy to the corresponding passive sensing subsystem by controlling the unmanned vehicle power management circuit, so that a sensor in the passive sensing subsystem obtains the power energy and starts to acquire data. The unmanned vehicle control circuit controls the unmanned vehicle communication management circuit to control the unmanned vehicle communication antenna, and communication between the unmanned vehicle and the passive sensing subsystem is achieved.
Further, unmanned car navigation module includes:
the real-time position acquisition unit is used for acquiring real-time position information of the unmanned vehicle corresponding to the unmanned vehicle in real time;
the first real-time route adjusting unit is used for adjusting a first original driving route prestored by the unmanned vehicle according to the real-time position information of the unmanned vehicle to acquire a first real-time route;
and the unmanned vehicle navigation unit is used for guiding the unmanned vehicle to move according to the first real-time route.
Further, a real-time position obtaining unit, configured to obtain the real-time position information of the unmanned vehicle in real time, includes:
a corrected coordinate acquiring unit for acquiring coordinates of the first target sensor as corrected coordinates by the unmanned vehicle;
and the correction coordinate correction unit is used for replacing the original coordinates of the unmanned vehicle based on the correction coordinates to acquire the real-time position information of the unmanned vehicle.
The beneficial effect of adopting the further scheme is that: the unmanned vehicle is used for correcting the original coordinate of the unmanned vehicle by acquiring the coordinate of the first target sensor so as to acquire the real-time position information of the unmanned vehicle in real time, conveniently adjust the first original driving route prestored by the unmanned vehicle and acquire the first real-time route, so that the unmanned vehicle can adjust the first original driving route in time according to the coordinate of the first target sensor and continuously operate according to the first real-time route, the accuracy of the operation of the unmanned vehicle is improved, and the power supply energy can be more accurately provided for the passive sensing subsystem.
Further, an energy emitting module comprising:
a distance calculation unit for calculating an actual distance between the unmanned vehicle and the first target sensor;
the wireless transmission unit is used for transmitting the power supply energy to the passive sensing subsystem through a transmitting coil when the actual distance is smaller than a preset distance;
and the remote transmission unit is used for transmitting the power supply energy to the passive sensing subsystem through the radio frequency transmitting end when the actual distance is not less than the preset distance.
The beneficial effect of adopting the further scheme is that: the actual distance between the unmanned vehicle and the first target sensor is calculated by the distance calculation unit to determine whether to transmit power energy to the passive sensing subsystem using the wireless transmission unit or to transmit power energy to the passive sensing subsystem using the remote transmission unit. When the actual distance is smaller than the preset distance, the wireless transmission unit is adopted to transmit power supply energy; when the actual distance is not less than the preset distance, the remote transmission unit is adopted to transmit the power supply energy, so that the loss of the power supply energy in the transmission process is effectively reduced, and the efficiency of power supply energy transmission is improved.
Further, the passive sensing subsystem comprises an energy receiving module, a passive sensing subsystem power management circuit, a passive sensing subsystem control circuit, a passive sensing subsystem communication management circuit, a passive sensing subsystem communication antenna and at least one sensor;
the energy receiving module is used for receiving power supply energy sent by the unmanned vehicle;
the passive sensing subsystem power management circuit is used for managing the power energy acquired by the energy receiving module;
a passive sensing subsystem control circuit for controlling the passive sensing subsystem power management circuit, the communication management circuit and the sensor;
the passive sensing subsystem communication management circuit is used for controlling the communication of the passive sensing subsystem communication antenna;
the passive sensing subsystem communication antenna is used for controlling the passive sensing subsystem to communicate with the unmanned vehicle;
a sensor for acquiring first measurand data.
The beneficial effect of adopting the further scheme is that: the power supply energy sent by the unmanned vehicle is received through the energy receiving module and sent to the passive sensing subsystem power supply management circuit, so that the passive sensing subsystem control circuit selects a target sensor which accords with a first preset range from at least one sensor managed by the passive sensing subsystem control circuit, and the target sensor is started to acquire first measured data through the obtained power supply energy. Meanwhile, the passive sensing subsystem control circuit also needs to control the passive sensing subsystem communication management circuit to control the passive sensing subsystem communication antenna to realize that the passive sensing subsystem is communicated with the unmanned vehicle, so that a sensor provided with power supply energy does not need to be purchased, and the purchase cost of the sensor is effectively reduced.
Further, an energy receiving module comprising:
the wireless receiving unit is used for receiving the power supply energy transmitted by the wireless transmission unit through a receiving coil;
and the remote receiving unit is used for receiving the power supply energy transmitted by the remote transmission unit through the radio frequency receiving end.
The beneficial effect of adopting the further scheme is that: receiving the power supply energy transmitted by the wireless transmission unit through the wireless receiving unit; the power supply energy transmitted by the long-distance transmission unit is received by the long-distance receiving unit, so that the purpose of receiving the power supply energy in different modes of long distance and short distance is achieved.
Further, in practical application, if a user specifies that only the wireless transmission unit and the wireless receiving unit are required to be used for transmitting power energy, only the transmitting coil corresponding to the wireless transmission unit and the receiving coil corresponding to the wireless receiving unit are installed in the passive internet of things sensor system; if the user specifies that only the remote transmission unit and the remote receiving unit are needed to transmit the power energy, only the radio frequency transmitting end corresponding to the remote transmission unit and the radio frequency receiving end corresponding to the remote receiving unit are installed in the passive internet of things sensor system, so that the use cost can be effectively reduced. If a user specifies that the two power supply energy transmission and corresponding receiving modes are required to be used for power supply energy transmission at the same time, a transmitting coil, a corresponding receiving coil, a radio frequency transmitting end and a corresponding radio frequency receiving end are required to be installed in the passive internet of things sensor system at the same time.
Further, the passive internet of things sensor system also comprises an unmanned aerial vehicle;
and the unmanned aerial vehicle is used for operating and detecting the passive sensing subsystem according to the acquired second real-time route, acquiring the sensor within a second preset range, and acquiring second measured data sent by the second target sensor by taking the sensor within the second preset range as the second target sensor.
The beneficial effect of adopting the further scheme is that: when the high-altitude parameters such as illumination or weather need to be measured, a corresponding illumination measuring sensor or weather sensor needs to be used, and the sensor needs to be installed on an overhead frame, so that the unmanned vehicle cannot acquire data collected by the sensor. Therefore, the passive internet of things sensor system provided by the invention further comprises the unmanned aerial vehicle, so as to obtain second measured data sent by the second target sensor.
Further, the unmanned aerial vehicle comprises an unmanned aerial vehicle battery, an unmanned aerial vehicle power management circuit, an unmanned aerial vehicle data storage module, an unmanned aerial vehicle navigation module, an unmanned aerial vehicle control circuit, an unmanned aerial vehicle communication management circuit and an unmanned aerial vehicle communication antenna;
unmanned aerial vehicle navigation module includes:
the time difference calculation unit is used for operating according to a second original driving route, and when at least two second measured data are obtained, the time difference is obtained through the time corresponding to each second measured data;
the unmanned aerial vehicle coordinate adjusting unit is used for acquiring an unmanned aerial vehicle correction distance based on the time difference and the running speed of the unmanned vehicle, and acquiring an unmanned aerial vehicle effective coordinate based on the unmanned aerial vehicle correction distance and an unmanned aerial vehicle original coordinate;
the unmanned aerial vehicle route modifying unit is used for adjusting the second original driving route based on the effective coordinates of the unmanned aerial vehicle to obtain a second real-time route;
and the unmanned aerial vehicle navigation unit is used for guiding the unmanned aerial vehicle to operate according to the second real-time route.
The beneficial effect of adopting the further scheme is that: because the unmanned aerial vehicle carries a high-capacity unmanned vehicle battery which transmits power energy to the passive sensing subsystem, the load of the unmanned aerial vehicle is increased, and the power energy consumption is increased, so that the unmanned aerial vehicle does not directly provide the power energy to the passive sensing subsystem. The unmanned aerial vehicle can not provide power energy for the passive sensing subsystem, and then the sensor can not be started to collect data, so that the coordinate of the second target sensor can not be obtained, the time difference is calculated by obtaining the corresponding time of at least two second measured data, the correction distance of the unmanned aerial vehicle is obtained by the time difference and the running speed of the unmanned vehicle, the effective coordinate of the unmanned aerial vehicle is obtained according to the correction distance of the unmanned aerial vehicle and the original coordinate of the unmanned aerial vehicle to obtain a second real-time route, the unmanned aerial vehicle is guided to run, and the data collected by the sensor arranged on the overhead frame can be obtained.
Another technical solution of the present invention for solving the above technical problems is as follows: a passive internet of things sensor method, comprising:
the unmanned vehicle sends power supply energy to the passive sensing subsystem; the method comprises the steps that a passive sensing subsystem is operated and detected according to an obtained first real-time route, a sensor in a first preset range is obtained, the sensor in the first preset range is used as a first target sensor, and first measured data sent by the first target sensor are obtained;
and the passive sensing subsystem receives the power supply energy sent by the unmanned vehicle, starts a first target sensor in the passive sensing subsystem to acquire first measured data and sends the first measured data to the unmanned vehicle.
The invention has the beneficial effects that: the power supply energy is sent to the passive sensing subsystem through the unmanned vehicle, so that the sensor in the passive sensing subsystem does not need to be configured with a power supply, and the purchase cost of the sensor is reduced. The unmanned vehicle runs according to the acquired first real-time route and detects the passive sensing subsystem to acquire the first target sensor within the first preset range, so that power supply energy is provided for the corresponding first target sensor in the passive sensing subsystem only when which sensor is required to acquire first measured data, and the utilization rate of the power supply energy is effectively improved.
Drawings
FIG. 1 is a block diagram of a passive IOT sensor system according to the present invention;
FIG. 2 is a block diagram of the navigation module of the unmanned vehicle of FIG. 1;
FIG. 3 is a block diagram of the energy transmitting module of FIG. 1;
FIG. 4 is a block diagram of an energy receiving module of FIG. 1;
FIG. 5 is another block diagram of a passive IOT sensor system according to the present invention;
FIG. 6 is a block diagram of the UAV navigation module of FIG. 5;
fig. 7 is a flowchart of a passive sensor method of the internet of things according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a passive internet of things sensor system includes:
the unmanned vehicle is used for sending power supply energy to the passive sensing subsystem; the method comprises the steps of operating a detection passive sensing subsystem according to an acquired first real-time route, acquiring a sensor within a first preset range, taking the sensor within the first preset range as a first target sensor, and acquiring first measured data sent by the first target sensor.
The first real-time route is a real-time route corresponding to the unmanned vehicle and is used for guiding the unmanned vehicle to run. The first preset range refers to a preset distance that the unmanned vehicle can send power energy and can start a sensor in the passive sensing subsystem to run. The first target sensor refers to a sensor belonging to a first preset range. The first measured data refers to data collected by the first target sensor.
Further, the passive sensing subsystem in this embodiment includes a plurality of sensors, and if an unmanned vehicle detects one sensor in the first detection range, the sensor is used as the first target sensor.
If the unmanned vehicle detects at least two sensors in the first detection range, the distances corresponding to the unmanned vehicle and the at least two sensors need to be calculated respectively. If the distances are not consistent, selecting the sensor corresponding to the minimum distance as a first target sensor; and if the distances are consistent, sequentially taking each sensor as a first target sensor.
And the passive sensing subsystem is used for receiving power energy sent by the unmanned vehicle, starting a first target sensor in the passive sensing subsystem to acquire first measured data and sending the first measured data to the unmanned vehicle.
The power supply energy is sent to the passive sensing subsystem through the unmanned vehicle, so that the sensor in the passive sensing subsystem does not need to be configured with a power supply, and the purchase cost of the sensor is reduced. The unmanned vehicle runs according to the acquired first real-time route and detects the passive sensing subsystem to acquire the first target sensor within the first preset range, so that power supply energy is provided for the corresponding first target sensor in the passive sensing subsystem only when which sensor is required to acquire first measured data, and the utilization rate of the power supply energy is effectively improved.
Preferably, as shown in fig. 1, the unmanned vehicle includes an unmanned vehicle battery, an unmanned vehicle power management circuit, an unmanned vehicle data storage module, an unmanned vehicle navigation module, an unmanned vehicle control circuit, an unmanned vehicle communication management circuit, an unmanned vehicle communication antenna and an energy transmitting module.
An unmanned vehicle battery for providing power energy to the unmanned vehicle and the passive sensing subsystem.
And the unmanned vehicle power supply management circuit is used for managing the unmanned vehicle battery and sending the power supply energy of the unmanned vehicle battery to the energy transmitting module and the unmanned vehicle control circuit.
And the unmanned vehicle data storage module is used for storing data corresponding to the unmanned vehicle.
And the unmanned vehicle navigation module is used for guiding the unmanned vehicle to move according to the first real-time route in the unmanned vehicle data storage module.
And the unmanned vehicle control circuit is used for controlling the operation of the unmanned vehicle power supply management circuit, the unmanned vehicle data storage module, the unmanned vehicle navigation module and the unmanned vehicle communication management circuit.
And the unmanned vehicle communication management circuit is used for controlling the operation of the unmanned vehicle communication antenna.
And the unmanned vehicle communication antenna is used for controlling the unmanned vehicle to communicate with the passive sensing subsystem.
And the energy transmitting module is used for transmitting power energy to the passive sensing subsystem.
Wherein, unmanned car battery refers to the battery of unmanned car installation. The power management circuit of the unmanned vehicle is a power management circuit installed on the unmanned vehicle. The unmanned vehicle data storage module refers to a data storage module installed on an unmanned vehicle. The unmanned vehicle navigation module refers to a navigation module installed on an unmanned vehicle. The unmanned vehicle control circuit refers to a control circuit installed on an unmanned vehicle. The unmanned vehicle communication management circuit refers to a communication management circuit installed on an unmanned vehicle. The unmanned vehicle communication antenna refers to a communication antenna installed on an unmanned vehicle. The energy transmitting module is a module which is arranged on the unmanned vehicle and is used for transmitting the power energy of the unmanned vehicle battery to the passive sensing subsystem.
The unmanned vehicle battery is arranged on the unmanned vehicle to provide power energy for the unmanned vehicle power management circuit, the unmanned vehicle data storage module, the unmanned vehicle navigation module, the unmanned vehicle control circuit, the unmanned vehicle communication antenna and the energy emission module on the unmanned vehicle, so that the normal operation of the unmanned vehicle is ensured. The unmanned vehicle control circuit controls the energy emission module to send power energy to the corresponding passive sensing subsystem by controlling the unmanned vehicle power management circuit, so that a sensor in the passive sensing subsystem obtains the power energy and starts to acquire data. The unmanned vehicle control circuit controls the unmanned vehicle communication management circuit to control the unmanned vehicle communication antenna, and communication between the unmanned vehicle and the passive sensing subsystem is achieved.
Preferably, as shown in fig. 2, the unmanned vehicle navigation module includes:
and the real-time position acquisition unit is used for acquiring the real-time position information of the unmanned vehicle corresponding to the unmanned vehicle in real time.
The real-time position information of the unmanned vehicle refers to the real-time position coordinates of the unmanned vehicle.
And the first real-time route adjusting unit is used for adjusting a first original driving route prestored by the unmanned vehicle according to the real-time position information of the unmanned vehicle to acquire the first real-time route.
Wherein the first original driving route refers to a route which is stored in advance in the unmanned vehicle and guides the unmanned vehicle to run. The first real-time route refers to a route obtained after the first original driving route is adjusted according to the real-time position information of the unmanned vehicle.
And the unmanned vehicle navigation unit is used for guiding the unmanned vehicle to move according to the first real-time route.
The first original driving route prestored by the unmanned vehicle is adjusted by acquiring the real-time position information of the unmanned vehicle, so that the driving route of the unmanned vehicle is more in line with the actual requirement. According to the acquired first real-time route, the unmanned vehicle is guided to move, and the accuracy of the operation of the unmanned vehicle can be improved
Preferably, as shown in fig. 2, the real-time position obtaining unit is configured to obtain real-time position information of the unmanned vehicle in real time, and includes:
a corrected coordinate acquiring unit for acquiring coordinates of the first target sensor as corrected coordinates by the unmanned vehicle.
Wherein the corrected coordinates refer to coordinates of the first object sensor acquired by the unmanned vehicle, which may be used to modify the coordinates of the unmanned vehicle in the original image as a route.
And the corrected coordinate correcting unit is used for replacing the original coordinates of the unmanned vehicle based on the corrected coordinates to acquire the real-time position information of the unmanned vehicle.
The original coordinates of the unmanned vehicle refer to the coordinates of the unmanned vehicle in the first original driving route and are used for representing the position of the unmanned vehicle when the unmanned vehicle runs. The real-time position information of the unmanned vehicle refers to coordinate information obtained by replacing the original coordinates of the unmanned vehicle with the coordinates of the first target sensor.
Specifically, the unmanned vehicle generates corresponding position information during operation, and the position information is the original coordinates of the unmanned vehicle. In the running process of the unmanned vehicle, the situation that the position of the unmanned vehicle is inconsistent with the position of the first target sensor inevitably occurs, so that in order to improve the running accuracy of the subsequent unmanned vehicle, the coordinate of the first target sensor is required to be used as a correction coordinate to adjust the original coordinate of the unmanned vehicle, so as to adjust the first original running route of the unmanned vehicle.
The unmanned vehicle is used for correcting the original coordinate of the unmanned vehicle by acquiring the coordinate of the first target sensor so as to acquire the real-time position information of the unmanned vehicle in real time, conveniently adjust the first original driving route prestored by the unmanned vehicle and acquire the first real-time route, so that the unmanned vehicle can adjust the first original driving route in time according to the coordinate of the first target sensor and continuously operate according to the first real-time route, the accuracy of the operation of the unmanned vehicle is improved, and the power supply energy can be more accurately provided for the passive sensing subsystem.
Preferably, as shown in fig. 3, the energy emission module includes:
and the distance calculation unit is used for calculating the actual distance between the unmanned vehicle and the first target sensor.
And the wireless transmission unit is used for transmitting power supply energy to the passive sensing subsystem through the transmitting coil when the actual distance is smaller than the preset distance.
The preset distance refers to a preset distance value used for distinguishing whether the wireless transmission unit or the remote transmission unit is used for power supply energy transmission.
And the remote transmission unit is used for transmitting power supply energy to the passive sensing subsystem through the radio frequency transmitting end when the actual distance is not less than the preset distance.
The implementation process of the remote transmission unit in this embodiment is specifically as follows: firstly, receiving a radio frequency electromagnetic wave signal of a free space; secondly, filtering and denoising the radio frequency electromagnetic wave signal to obtain a filtering signal; thirdly, rectifying, voltage doubling, coupling and voltage stabilizing processing are carried out on the filtering signals to obtain voltage stabilizing electric energy; and fourthly, amplifying the power of the stabilized voltage electric energy, storing the amplified electric energy, sending the amplified electric energy to the passive sensing subsystem through the radio frequency transmitting terminal according to the stored electric energy, and supplying power to the passive sensing subsystem.
Preferably, as shown in fig. 1, the passive sensing subsystem comprises an energy receiving module, a passive sensing subsystem power management circuit, a passive sensing subsystem control circuit, a passive sensing subsystem communication management circuit, a passive sensing subsystem communication antenna, and at least one sensor.
And the energy receiving module is used for receiving the power supply energy sent by the unmanned vehicle.
And the passive sensing subsystem power management circuit is used for managing the power energy acquired by the energy receiving module.
And the passive sensing subsystem control circuit is used for controlling the passive sensing subsystem power management circuit, the communication management circuit and the sensor.
And the passive sensing subsystem communication management circuit is used for controlling the communication of the passive sensing subsystem communication antenna.
And the passive sensing subsystem communication antenna is used for controlling the passive sensing subsystem to communicate with the unmanned vehicle.
A sensor for acquiring first measurand data.
The energy receiving module refers to a module, used for receiving power supply energy sent by the unmanned vehicle, of the passive sensing subsystem. The passive sensing subsystem power management circuit refers to a power management circuit of the passive sensing subsystem. The passive sensing subsystem control circuit refers to a control circuit of the passive sensing subsystem. The passive sensing subsystem communication management circuit refers to a communication management circuit of the passive sensing subsystem. The passive sensing subsystem communication antenna refers to a communication antenna of the passive sensing subsystem.
The power supply energy sent by the unmanned vehicle is received through the energy receiving module and sent to the passive sensing subsystem power supply management circuit, so that the passive sensing subsystem control circuit selects a target sensor which accords with a first preset range from at least one sensor managed by the passive sensing subsystem control circuit, and the target sensor is started to acquire first measured data through the obtained power supply energy. Meanwhile, the passive sensing subsystem control circuit also needs to control the passive sensing subsystem communication management circuit to control the passive sensing subsystem communication antenna to realize that the passive sensing subsystem is communicated with the unmanned vehicle, so that a sensor provided with power supply energy does not need to be purchased, and the purchase cost of the sensor is effectively reduced.
Preferably, as shown in fig. 4, the energy receiving module includes:
and the wireless receiving unit is used for receiving the power supply energy transmitted by the wireless transmission unit through the receiving coil.
And the remote receiving unit is used for receiving the power supply energy transmitted by the remote transmission unit through the radio frequency receiving end.
Receiving the power supply energy transmitted by the wireless transmission unit through the wireless receiving unit; the power supply energy transmitted by the long-distance transmission unit is received by the long-distance receiving unit, so that the purpose of receiving the power supply energy in different modes of long distance and short distance is achieved.
Preferably, as shown in fig. 5, the passive internet of things sensor system further includes an unmanned aerial vehicle.
And the unmanned aerial vehicle is used for operating the detection passive sensing subsystem according to the acquired second real-time route, acquiring the sensor within a second preset range, and acquiring second measured data sent by a second target sensor by taking the sensor within the second preset range as the second target sensor.
The second real-time route refers to a real-time route corresponding to the unmanned aerial vehicle, and the second real-time route is used for guiding the unmanned aerial vehicle to run. The second preset range refers to a preset distance at which the unmanned aerial vehicle can acquire data acquired by a sensor in the passive sensing subsystem. The second target sensor refers to a sensor belonging to a second preset range. The second measured data refers to data collected by the second target sensor.
Specifically, when needing to use unmanned aerial vehicle to obtain the second measured data that second target sensor sent, because unmanned aerial vehicle carries the unmanned vehicle battery of the large capacity that has the transmission power energy to passive sensing subsystem and can increase the unmanned aerial vehicle load, increase power energy consumption, consequently, provide power energy through unmanned vehicle in this embodiment to passive sensing subsystem, start the second target sensor collection data that the second predetermined the within range. The data that the sensor of installing on the overhead was gathered can be realized acquireing through unmanned aerial vehicle.
Further, if the unmanned aerial vehicle detects a sensor in the second detection range, the sensor is used as a second target sensor.
If the unmanned aerial vehicle detects at least two sensors in the second detection range, the distances corresponding to the unmanned aerial vehicle and the at least two sensors need to be calculated respectively. If the distances are not consistent, selecting the sensor corresponding to the minimum distance as a second target sensor; and if the distances are consistent, sequentially taking each sensor as a second target sensor.
Preferably, as shown in fig. 5, the drone includes a drone battery, a drone power management circuit, a drone data storage module, a drone navigation module, a drone control circuit, a drone communication management circuit, and a drone communication antenna.
Wherein, the unmanned aerial vehicle battery indicates the battery of installation on the unmanned aerial vehicle. Unmanned aerial vehicle power management circuit refers to the last power management circuit who installs of unmanned aerial vehicle. Unmanned aerial vehicle data storage module refers to the data storage module of installation on the unmanned aerial vehicle. The unmanned aerial vehicle navigation module refers to a navigation module installed on an unmanned aerial vehicle. The unmanned aerial vehicle control circuit refers to a control circuit installed on an unmanned aerial vehicle. Unmanned aerial vehicle communication management circuit refers to the communication management circuit of installation on the unmanned aerial vehicle. Unmanned aerial vehicle communication antenna means the communication antenna of installation on the unmanned aerial vehicle.
Preferably, as shown in fig. 6, the drone navigation module includes:
and the time difference calculation unit is used for operating according to the second original driving route, and acquiring the time difference through the corresponding moment of each second measured data when at least two second measured data are acquired.
And the second original driving route refers to a route which is stored in the unmanned aerial vehicle in advance and guides the unmanned aerial vehicle to run. Specifically, if the unmanned aerial vehicle acquires two second measured data within a second preset range, acquiring a time difference through moments corresponding to the two second measured data; and if the unmanned aerial vehicle acquires a plurality of second measured data in a second preset range, selecting respective corresponding moments of the first second measured data and the last second measured data to acquire the time difference. In this embodiment, the first second measured data refers to the data closest to the front of the time, and the last second measured data refers to the data closest to the back of the time.
And the unmanned aerial vehicle coordinate adjusting unit is used for acquiring the unmanned aerial vehicle correction distance based on the time difference and the running speed of the unmanned vehicle, and acquiring the effective coordinate of the unmanned aerial vehicle based on the unmanned aerial vehicle correction distance and the original coordinate of the unmanned aerial vehicle.
Wherein, unmanned aerial vehicle corrects the result that the product of distance means unmanned vehicle's speed and time difference obtained. The original coordinates of the unmanned aerial vehicle refer to coordinates of the unmanned aerial vehicle in a second original driving route, and are used for representing the position of the unmanned aerial vehicle when the unmanned aerial vehicle runs. The effective coordinate of the unmanned aerial vehicle is a coordinate obtained by adding the correction distance and the original coordinate of the unmanned aerial vehicle.
And the unmanned aerial vehicle route modifying unit is used for adjusting the second original driving route based on the effective coordinates of the unmanned aerial vehicle to obtain a second real-time route.
As shown in fig. 7, another embodiment of the present invention further provides a passive internet of things sensor method, including:
s10: the unmanned vehicle sends power supply energy to the passive sensing subsystem; the method comprises the steps of operating a detection passive sensing subsystem according to an acquired first real-time route, acquiring a sensor within a first preset range, taking the sensor within the first preset range as a first target sensor, and acquiring first measured data sent by the first target sensor.
S20: the passive sensing subsystem receives power energy sent by the unmanned vehicle, starts a first target sensor in the passive sensing subsystem to acquire first measured data, and sends the first measured data to the unmanned vehicle.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A passive form thing networking sensor system, characterized in that includes:
the unmanned vehicle is used for sending power supply energy to the passive sensing subsystem; the method comprises the steps that a passive sensing subsystem is operated and detected according to an obtained first real-time route, a sensor in a first preset range is obtained, the sensor in the first preset range is used as a first target sensor, and first measured data sent by the first target sensor are obtained;
and the passive sensing subsystem is used for receiving the power supply energy sent by the unmanned vehicle, starting a first target sensor in the passive sensing subsystem to acquire first measured data and sending the first measured data to the unmanned vehicle.
2. The passive internet of things sensor system of claim 1, wherein the unmanned vehicle comprises an unmanned vehicle battery, an unmanned vehicle power management circuit, an unmanned vehicle data storage module, an unmanned vehicle navigation module, an unmanned vehicle control circuit, an unmanned vehicle communication management circuit, an unmanned vehicle communication antenna, and an energy transmitting module;
an unmanned vehicle battery for providing power supply energy to the unmanned vehicle and the passive sensing subsystem;
the unmanned vehicle power supply management circuit is used for managing an unmanned vehicle battery and sending power supply energy of the unmanned vehicle battery to the energy transmitting module and the unmanned vehicle control circuit;
the unmanned vehicle data storage module is used for storing data corresponding to the unmanned vehicle;
the unmanned vehicle navigation module is used for guiding the unmanned vehicle to move according to a first real-time route in the unmanned vehicle data storage module;
the unmanned vehicle control circuit is used for controlling the operation of the unmanned vehicle power management circuit, the unmanned vehicle data storage module, the unmanned vehicle navigation module and the unmanned vehicle communication management circuit;
the unmanned vehicle communication management circuit is used for controlling the operation of the unmanned vehicle communication antenna;
the unmanned vehicle communication antenna is used for controlling the unmanned vehicle to communicate with the passive sensing subsystem;
and the energy transmitting module is used for transmitting power energy to the passive sensing subsystem.
3. The passive internet of things sensor system of claim 2, wherein the unmanned vehicle navigation module comprises:
the real-time position acquisition unit is used for acquiring real-time position information of the unmanned vehicle corresponding to the unmanned vehicle in real time;
the first real-time route adjusting unit is used for adjusting a first original driving route prestored by the unmanned vehicle according to the real-time position information of the unmanned vehicle to acquire a first real-time route;
and the unmanned vehicle navigation unit is used for guiding the unmanned vehicle to move according to the first real-time route.
4. The passive internet of things sensor system of claim 3, wherein the real-time position obtaining unit is configured to obtain real-time position information of the unmanned vehicle in real time, and comprises:
a corrected coordinate acquiring unit for acquiring coordinates of the first target sensor as corrected coordinates by the unmanned vehicle;
and the correction coordinate correction unit is used for replacing the original coordinates of the unmanned vehicle based on the correction coordinates to acquire the real-time position information of the unmanned vehicle.
5. The passive internet of things sensor system of claim 2, wherein the energy emission module comprises:
a distance calculation unit for calculating an actual distance between the unmanned vehicle and the first target sensor;
the wireless transmission unit is used for transmitting the power supply energy to the passive sensing subsystem through a transmitting coil when the actual distance is smaller than a preset distance;
and the remote transmission unit is used for transmitting the power supply energy to the passive sensing subsystem through the radio frequency transmitting end when the actual distance is not less than the preset distance.
6. The passive internet of things sensor system of claim 1, wherein the passive sensing subsystem comprises an energy receiving module, a passive sensing subsystem power management circuit, a passive sensing subsystem control circuit, a passive sensing subsystem communication management circuit, a passive sensing subsystem communication antenna, and at least one sensor;
the energy receiving module is used for receiving power supply energy sent by the unmanned vehicle;
the passive sensing subsystem power management circuit is used for managing the power energy acquired by the energy receiving module;
a passive sensing subsystem control circuit for controlling the passive sensing subsystem power management circuit, the communication management circuit and the sensor;
the passive sensing subsystem communication management circuit is used for controlling the communication of the passive sensing subsystem communication antenna;
the passive sensing subsystem communication antenna is used for controlling the passive sensing subsystem to communicate with the unmanned vehicle;
a sensor for acquiring first measurand data.
7. The method of operating a passive internet of things sensor of claim 6, wherein the energy receiving module comprises:
the wireless receiving unit is used for receiving the power supply energy transmitted by the wireless transmission unit through a receiving coil;
and the remote receiving unit is used for receiving the power supply energy transmitted by the remote transmission unit through the radio frequency receiving end.
8. The passive internet of things sensor system of claim 1, further comprising an unmanned aerial vehicle;
and the unmanned aerial vehicle is used for operating and detecting the passive sensing subsystem according to the acquired second real-time route, acquiring the sensor within a second preset range, and acquiring second measured data sent by the second target sensor by taking the sensor within the second preset range as the second target sensor.
9. The passive internet of things sensor system of claim 8, wherein the drone includes a drone battery, a drone power management circuit, a drone data storage module, a drone navigation module, a drone control circuit, a drone communication management circuit, and a drone communication antenna;
the unmanned aerial vehicle navigation module includes:
the time difference calculation unit is used for operating according to a second original driving route, and when at least two second measured data are obtained, the time difference is obtained through the time corresponding to each second measured data;
the unmanned aerial vehicle coordinate adjusting unit is used for acquiring an unmanned aerial vehicle correction distance based on the time difference and the running speed of the unmanned vehicle, and acquiring an unmanned aerial vehicle effective coordinate based on the unmanned aerial vehicle correction distance and an unmanned aerial vehicle original coordinate;
the unmanned aerial vehicle route modifying unit is used for adjusting the second original driving route based on the effective coordinates of the unmanned aerial vehicle to obtain a second real-time route;
and the unmanned aerial vehicle navigation unit is used for guiding the unmanned aerial vehicle to operate according to the second real-time route.
10. A passive sensor method of the Internet of things is characterized by comprising the following steps:
the unmanned vehicle sends power supply energy to the passive sensing subsystem; the method comprises the steps that a passive sensing subsystem is operated and detected according to an obtained first real-time route, a sensor in a first preset range is obtained, the sensor in the first preset range is used as a first target sensor, and first measured data sent by the first target sensor are obtained;
and the passive sensing subsystem receives the power supply energy sent by the unmanned vehicle, starts a first target sensor in the passive sensing subsystem to acquire first measured data and sends the first measured data to the unmanned vehicle.
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