CN115022364A

CN115022364A - Monitoring method, monitoring device, computer equipment and storage medium

Info

Publication number: CN115022364A
Application number: CN202210604332.5A
Authority: CN
Inventors: 苏泽华; 黄海瑛; 杨帆
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2022-05-31
Filing date: 2022-05-31
Publication date: 2022-09-06

Abstract

The application relates to a monitoring method, a monitoring device, computer equipment and a storage medium, which are applied to the field of Internet of things, wherein the method comprises the following steps: responding to a flight instruction sent by a control center, and sequentially flying to communication positions corresponding to the data acquisition equipment according to flight path information in the flight instruction; under the condition of reaching any communication position, establishing a wireless communication channel between the unmanned aerial vehicle and data acquisition equipment corresponding to the communication position, and receiving operation data of the monitored object returned by the data acquisition equipment through the wireless communication channel; obtaining complete operation data of the monitored object based on the operation data returned by each data acquisition device, and sending the complete operation data to the control center; the control center is used for sending the complete operation data to the monitoring terminal, so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the analysis result is abnormal. The method can obviously reduce the load and pressure of the communication server of the control center.

Description

Monitoring method, monitoring device, computer equipment and storage medium

Technical Field

The present application relates to the field of internet of things technology, and in particular, to a monitoring method, apparatus, computer device, storage medium, and computer program product.

Background

Risk control is an important task for financial institutions. Among them, post-loan risk monitoring for loan enterprises has been a significant problem in the industry. In order to effectively measure the repayment capacity of the borrower, the financial institution usually needs to acquire the financial report, transaction running water, tax payment situation and other operation data of the enterprise, but the production and operation conditions of the enterprise are difficult to truly reflect only through the data due to the problems of real financial counterfeiting, virtual tax increase and running water, afterward tax compensation and the like. With the development of technology, financial institutions began to introduce internet of things technology to monitor the production conditions of enterprises, such as: the power utilization, water utilization and machine operation conditions of the enterprise are obtained through the sensors, so that the real production activities of the enterprise are guaranteed.

The current internet of things post-credit monitoring system generally configures a mobile communication card or a WiFi communication module for each sensor, and data acquired by each sensor is uploaded to a post-credit monitoring platform of a financial institution through a mobile network or the internet. However, in the two schemes, the data acquired by each sensor needs to be uploaded to the post-loan monitoring system of the financial institution independently, the network connection concurrency of the system is positively correlated with the number of the accessed sensors, and a large load and pressure are brought to the server of the financial institution.

Disclosure of Invention

In view of the above, it is necessary to provide a monitoring method, an apparatus, a computer device, a computer readable storage medium, and a computer program product for solving the technical problem of the monitoring system that the load and the pressure on the server of the financial structure are large.

In a first aspect, the present application provides a monitoring method. The method comprises the following steps:

responding to a flight instruction sent by a control center, and sequentially flying to communication positions corresponding to each data acquisition device according to flight path information in the flight instruction; the data acquisition equipment is arranged at different positions of an area where a monitored object is located, and the flight path information is determined based on the installation position of each data acquisition equipment;

under the condition of reaching any communication position, establishing a wireless communication channel between the unmanned aerial vehicle and data acquisition equipment corresponding to the communication position, and receiving operation data of the monitoring object returned by the data acquisition equipment through the wireless communication channel;

obtaining complete operation data of the monitoring object based on operation data returned by each data acquisition device, and sending the complete operation data to the control center; the control center is used for sending the complete operation data to the monitoring terminal so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

In one embodiment, before establishing the wireless communication channel between the drone and the data acquisition device corresponding to the communication location, the method further includes:

sending a device wake-up signal to the data acquisition device to cause the data acquisition device to switch from a monitoring mode to a data communication mode in response to the device wake-up signal;

establishing a wireless communication channel between the drone and the data acquisition device when the data acquisition device is in a data communication mode.

In one embodiment, the establishing a wireless communication channel between the drone and the data acquisition device corresponding to the communication location includes:

obtaining data length information and pilot symbols of operation data to be sent in the data acquisition equipment through a three-way handshake protocol, and enabling the data acquisition equipment to obtain channel estimation information of the unmanned aerial vehicle;

establishing a wireless communication channel between the drone and the data acquisition device based on the data length information, the pilot symbols, and the channel estimation information;

the data length information is used for generating a scheduling strategy for the unmanned aerial vehicle to perform communication scheduling, the pilot symbols are used for the unmanned aerial vehicle to perform channel estimation and beam forming, and the channel estimation information is used for providing reference parameters for channel estimation of the data acquisition equipment.

In one embodiment, after establishing the wireless communication channel between the drone and the data acquisition device, the method further includes:

determining the data volume of the operation data to be sent in each data acquisition device according to the data length information;

determining scheduling information for each data acquisition device according to the data volume, and sending the scheduling information to each data acquisition device; the scheduling information comprises a time period for each data acquisition device to upload operation data to the unmanned aerial vehicle;

and receiving the operation data sent by each data acquisition device according to the corresponding time period.

In one embodiment, the operation data carries an equipment identifier of a data acquisition equipment which sends the operation data;

after receiving the operation data of the monitored object returned by the data acquisition device through the wireless communication channel, the method further comprises the following steps:

comparing the equipment identification carried by the running data with a pre-stored acquisition equipment registration table, and determining abnormal acquisition equipment which does not return the running data; the acquisition equipment registration table records the equipment identifications of all data acquisition equipment installed on the monitored object;

and reestablishing a wireless communication channel with the abnormal acquisition equipment, and performing supplementary acquisition on the operation data of the abnormal acquisition equipment through the reestablished wireless communication channel.

In one embodiment, after receiving the operation data of the monitored object returned by the data acquisition device through the wireless communication channel, the method further comprises:

sending clock alignment information to the data acquisition equipment, so that the data acquisition equipment aligns the clock of the data acquisition equipment with the clock of the unmanned aerial vehicle according to the clock alignment information;

the clock alignment information comprises a plurality of alignment parameters for clock alignment of the data acquisition equipment and the unmanned aerial vehicle.

In a second aspect, the present application further provides a monitoring system. The system comprises data acquisition equipment, an unmanned aerial vehicle, a control center and a monitoring terminal, wherein the data acquisition equipment is arranged at different positions of an area where a monitored object is located;

the data acquisition equipment is used for acquiring the operation data of the monitored object and storing the operation data;

the control center is used for sending a flight instruction to the unmanned aerial vehicle; the flight instruction carries flight path information, and the flight path information is determined based on the installation position of each data acquisition device for the monitored object;

the unmanned aerial vehicle is used for responding to a flight instruction sent by the control center, sequentially flying to communication positions corresponding to the data acquisition devices according to flight path information in the flight instruction, establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition devices corresponding to the communication positions under the condition of reaching any communication position, and receiving operation data of the monitoring object returned by the data acquisition devices through the wireless communication channel; obtaining complete operation data of the monitored object based on operation data returned by each data acquisition device, and sending the complete operation data to the control center;

the control center is used for sending the complete operation data sent by the unmanned aerial vehicle to the monitoring terminal;

and the monitoring terminal is used for analyzing the complete operation data sent by the control center and generating abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

In a third aspect, the present application further provides a monitoring device. The device comprises:

the flight module is used for responding to a flight instruction sent by the control center and sequentially flying to communication positions corresponding to the data acquisition equipment according to flight path information in the flight instruction; the data acquisition equipment is arranged at different positions of an area where a monitored object is located, and the flight path information is determined based on the installation position of each data acquisition equipment;

the channel establishing module is used for establishing a wireless communication channel between the unmanned aerial vehicle and data acquisition equipment corresponding to any communication position when the unmanned aerial vehicle reaches the communication position, and receiving the operation data of the monitored object returned by the data acquisition equipment through the wireless communication channel;

the data sending module is used for obtaining complete operation data of the monitored object based on the operation data returned by each data acquisition device and sending the complete operation data to the control center; the control center is used for sending the complete operation data to a monitoring terminal so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

In a fourth aspect, the present application further provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:

obtaining complete operation data of the monitored object based on operation data returned by each data acquisition device, and sending the complete operation data to the control center; the control center is used for sending the complete operation data to the monitoring terminal so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

In a fifth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:

In a sixth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:

According to the monitoring method, the monitoring device, the computer equipment, the storage medium and the computer program product, the unmanned aerial vehicle is used for collecting the operation data of the monitored object collected by each data collection equipment, then the whole operation data is transmitted to the control center through the unmanned aerial vehicle, the transmission mode is changed from 'direct connection between the data collection equipment and the control center' into 'direct connection between the unmanned aerial vehicle and the control center', the connection relation of the communication server of the control center is correspondingly changed from one to many to one, when the operation data of the monitored object is collected by applying the Internet of things in a large quantity, the operation data collected by each data collection equipment is not required to be transmitted to the control center, and therefore the load and the pressure of the communication server of the control center can be remarkably reduced.

Drawings

FIG. 1 is a diagram of an exemplary monitoring application;

FIG. 2 is a schematic flow chart of a monitoring method in one embodiment;

FIG. 3 is a schematic flow chart of a monitoring method in another embodiment;

FIG. 4 is a schematic diagram of the monitoring system in one embodiment;

FIG. 5 is a schematic diagram showing the structure of a data acquisition apparatus according to an embodiment;

fig. 6 is a schematic workflow diagram of the drone according to an embodiment;

FIG. 7 is a schematic diagram illustrating a communication process between the data acquisition device and the drone in one embodiment;

FIG. 8 is a diagram illustrating an exemplary monitoring terminal;

FIG. 9 is a block diagram of the monitoring device in one embodiment;

fig. 10 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. It should be further noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.

The monitoring method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. The unmanned aerial vehicle 104 is wirelessly connected with the data acquisition device 102 and the control center 106, and the control center 106 is wirelessly connected with the monitoring terminal 108. Wherein, unmanned aerial vehicle 104 optional fixed wing unmanned aerial vehicle or many rotor unmanned aerial vehicle, and unmanned aerial vehicle 104 is connected with airborne equipment, unmanned aerial vehicle 104 and airborne equipment wired connection. The data acquisition device 102 may be a sensor, and is installed at different positions of the area where the monitoring object is located. The monitoring terminal 108 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle-mounted devices, and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and the like.

In the application scenario of the present application, the control center 106 sends a flight instruction to the unmanned aerial vehicle 104, the unmanned aerial vehicle 104 responds to the flight instruction, sequentially flies to communication positions corresponding to the data acquisition devices according to flight path information in the flight instruction, and when the unmanned aerial vehicle 104 arrives at any communication position, establishes a wireless communication channel between the unmanned aerial vehicle 104 and the data acquisition device 102 corresponding to the communication position, and receives operation data of a monitoring object returned by the data acquisition device 102 through the wireless communication channel. The complete operation data of the monitored object is obtained based on the operation data returned by each data acquisition device, the unmanned aerial vehicle 104 sends the complete operation data to the control center 106, and the control center 106 sends the complete operation data to the monitoring terminal 108, so that the monitoring terminal 108 analyzes the complete operation data, and when the obtained analysis result is abnormal, abnormal prompt information aiming at the monitored object is generated.

In one embodiment, as shown in fig. 2, a monitoring method is provided, which is described by taking the method as an example applied to the drone 104 in fig. 1, and includes the following steps:

step S210, responding to a flight instruction sent by a control center, and sequentially flying to communication positions corresponding to each data acquisition device according to flight path information in the flight instruction; the data acquisition equipment is installed in different positions of the area where the monitoring object is located, and the flight path information is determined based on the installation position of each data acquisition equipment.

Wherein, unmanned aerial vehicle can select for use fixed wing unmanned aerial vehicle or many rotor unmanned aerial vehicle for carry out control center's flight instruction.

Wherein the monitoring object represents the target to be monitored, for example, the monitoring object may be a loan enterprise.

The data acquisition equipment can be a sensor and is used for acquiring operation data of a monitored object, for example, the sensor acquires the power utilization, water utilization and machine operation conditions of an enterprise so as to ensure that the enterprise has real production activities.

Wherein, control center can include unmanned aerial vehicle control terminal and data display terminal. The unmanned aerial vehicle control terminal is used for planning an unmanned aerial vehicle air route, sending a flight instruction to the unmanned aerial vehicle, and checking the current position and the health state of the unmanned aerial vehicle. And the data display terminal is used for displaying the data of the internet of things and the image data collected from the monitored object.

Wherein, communication position can understand the unmanned aerial vehicle can carry out communication connection's position with data acquisition equipment.

In the concrete realization, can carry out unmanned aerial vehicle's flight path planning through the mounted position of each data acquisition equipment of installing in the control center according to the monitoring object in advance, under the prerequisite that covers required communication range, minimizing unmanned aerial vehicle total distance of flying to promote data acquisition efficiency, obtain the flight path that total distance is minimum. Then, a flight instruction carrying the flight path with the minimum total distance is sent to the unmanned aerial vehicle through an unmanned aerial vehicle control terminal in the control center, and after the unmanned aerial vehicle receives the flight instruction, the unmanned aerial vehicle sequentially flies to communication positions corresponding to the data acquisition equipment according to flight path information carried by the flight instruction.

More specifically, when planning the path of the drone, it is optional to model the problem using an undirected weighted graph: the installation positions of the monitoring object and each data acquisition device inside the monitoring object are the top points of the graph, the flyable path is the side of the graph, the distance of the flyable path, namely the length of the side, and the starting point and the end point are both at one specific top point, namely the position of the unmanned aerial vehicle base. The specific algorithm adopted includes, but is not limited to, branch-and-bound method, nearest neighbor method and the like.

Step S220, under the condition of reaching any communication position, establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment corresponding to the communication position, and receiving the operation data of the monitoring object returned by the data acquisition equipment through the wireless communication channel.

Wherein, unmanned aerial vehicle still is connected with airborne equipment, wired connection between unmanned aerial vehicle and the airborne equipment.

The airborne equipment comprises a broadcasting unit, a first wireless communication unit, a second wireless communication unit, an image acquisition unit and a storage unit. The broadcasting unit is used for transmitting a wireless broadcasting signal; the first wireless communication unit is used for establishing a wireless communication channel with the data acquisition equipment and collecting the operation data transmitted by the data acquisition equipment; the second wireless communication unit is used for monitoring mobile network signals of a network operator and establishing a channel with the control center, and when the mobile network signals are good, the second wireless communication unit transmits the stored operation data to the control center in batches through the Internet; the image acquisition unit is used for acquiring image data of the monitored object; and the storage unit is used for storing the acquired operation data and the image data.

The data acquisition equipment can comprise an acquisition unit, a storage unit and a communication unit. The system comprises a monitoring unit, a collecting unit, a monitoring unit and a monitoring unit, wherein the collecting unit is used for collecting water consumption, electricity consumption, machine operation conditions and other operation data which can be used for reflecting enterprise production and operation conditions of a monitored object; a storage unit for storing the collected operation data; and the communication unit is used for monitoring the broadcast signal of the unmanned aerial vehicle and transmitting the stored operation data to the unmanned aerial vehicle.

In the specific implementation, after the unmanned aerial vehicle reaches any communication position, the unmanned aerial vehicle sends a control instruction to the airborne equipment, so that the first wireless communication unit in the airborne equipment and the data acquisition equipment corresponding to the communication position establish a wireless communication channel, and the data acquisition equipment returns the operation data of the acquired monitoring object to the unmanned aerial vehicle through the wireless communication channel.

More specifically, for the purpose of energy saving, the communication unit of the data acquisition device may be set to be only started at a specific time interval within a specific time period, and only start the low power consumption monitoring mode before receiving the broadcast wake-up signal of the drone, and then enter the normal power consumption data communication mode after receiving the wake-up signal. Therefore, before establishing the wireless communication channel between the unmanned aerial vehicle and the data acquisition device, the broadcast unit in the recording device of the unmanned aerial vehicle needs to send a device wake-up signal to the data acquisition device, so that the data acquisition device responds to the device wake-up signal and switches from the monitoring mode to the data communication mode, and the wireless communication channel between the unmanned aerial vehicle and the data acquisition device is established under the condition that the data acquisition device is in the data communication mode.

In an exemplary embodiment, the unmanned aerial vehicle may further collect image data of the monitoring object through an image collecting unit of the airborne device, so as to serve as an auxiliary certificate for judging that the monitoring object is operating normally.

Step S230, obtaining complete operation data of the monitored object based on the operation data returned by each data acquisition device, and sending the complete operation data to a control center; the control center is used for sending the complete operation data to the monitoring terminal so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

The control center is used for sending flight instructions to the unmanned aerial vehicle, receiving operation data returned by the unmanned aerial vehicle, and periodically transmitting the operation data to the monitoring terminal.

The monitoring terminal is used for analyzing data returned by the control center, generating a monitoring report and issuing a risk prompt.

The monitoring terminal can comprise a communication unit, a calculation unit and a warning unit. The communication unit is used for receiving data transmitted by the control center; the storage unit is used for storing the received data; the calculation unit is used for carrying out model analysis on the stored production operation data of the monitoring object and judging whether the production operation of the monitoring object is normal or not; the warning unit is used for sending a monitoring object list with abnormal operation to a manager.

In the specific implementation, after the airborne equipment of the unmanned aerial vehicle receives the running data returned by each data acquisition equipment, the running data returned by each data acquisition equipment can be integrated, the complete running data of the monitored object is obtained, the complete running data is sent to the control center after the completion, the complete running data of the monitored object is forwarded to the monitoring terminal through the control center, the complete running data of the monitored object is analyzed through the computing unit in the monitoring terminal, the analysis result is obtained, the analysis report is generated, when the obtained analysis result is abnormal, the abnormal prompt information aiming at the monitored object is generated, so that the abnormal condition is conveniently processed by a manager.

In the monitoring method, the flight instruction sent by the unmanned aerial vehicle control center sequentially flies to communication positions corresponding to the data acquisition equipment according to flight path information in the flight instruction; under the condition of reaching any communication position, establishing a wireless communication channel between the unmanned aerial vehicle and data acquisition equipment corresponding to the communication position, and receiving operation data of a monitored object returned by the data acquisition equipment through the wireless communication channel; and obtaining complete operation data of the monitored object based on the operation data returned by each data acquisition device, further sending the complete operation data to the control center, sending the complete operation data to the monitoring terminal through the control center so that the monitoring terminal analyzes the complete operation data, and generating abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal. According to the method, the unmanned aerial vehicle is used for collecting the operation data of the monitoring object collected by each data collection device, then the complete operation data is transmitted to the control center through the unmanned aerial vehicle, the transmission mode is changed from 'direct connection between the data collection device and the control center' into 'direct connection between the unmanned aerial vehicle and the control center', the connection relation of the communication server of the control center is correspondingly changed from one-to-many to one-to-one, when the operation data of the monitoring object is collected by applying the Internet of things in a large quantity, the operation data collected by each data collection device is not required to be transmitted to the control center, and therefore the load and the pressure of the communication server of the control center can be remarkably reduced.

In an exemplary embodiment, before establishing a wireless communication channel between the drone and the data acquisition device corresponding to the communication location in step S220, the method further includes: sending an equipment awakening signal to the data acquisition equipment so that the data acquisition equipment responds to the equipment awakening signal and is switched from a monitoring mode to a data communication mode; and under the condition that the data acquisition equipment is in a data communication mode, establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment.

The device wake-up signal is used for switching the data acquisition device from a low-power-consumption monitoring mode to a normal-power-consumption data communication mode.

The equipment wake-up signal can be a wireless broadcast signal, and specifically, an unlicensed 433MHz band wireless broadcast signal with strong penetrating power can be transmitted through a multi-beam antenna, so that it is ensured that data acquisition equipment deployed in indoor environments, basements and other environments can receive the equipment wake-up signal.

In the specific implementation, the control instruction is sent to the airborne equipment after the preset communication position is judged to be reached through the built-in flight control unit and the GPS unit of the unmanned aerial vehicle, and the airborne equipment responds to the control instruction and sends an equipment awakening signal to the data acquisition equipment corresponding to the communication position reached by the unmanned aerial vehicle through the broadcasting unit. When the communication unit of the data acquisition equipment monitors the equipment wake-up signal, the monitoring mode with low power consumption is switched into the data communication mode with normal power consumption.

More specifically, when equipment awakens up, when data acquisition equipment received the equipment awakening signal that unmanned aerial vehicle's airborne equipment sent, still can compare the signal strength of received equipment awakening signal with predetermined signal strength threshold value, if the signal strength of equipment awakening signal is greater than the signal strength threshold value, then judge that unmanned aerial vehicle is in the within range that is fit for communication, data acquisition equipment's communication unit just gets into the data communication mode of normal consumption.

In this embodiment, data acquisition equipment is in the monitoring mode of low-power consumption before receiving the equipment wake-up signal that unmanned aerial vehicle sent, just switches into the data communication mode of normal consumption from the monitoring mode of low-power consumption after receiving equipment wake-up signal, can save data acquisition equipment's electric power, realizes reaching energy-conserving purpose under the condition of not influencing and being normally connected with unmanned aerial vehicle.

In an exemplary embodiment, in step S220, a wireless communication channel between the drone and the data acquisition device corresponding to the communication location is established, which may specifically be implemented by the following steps:

step S220A, obtaining data length information and pilot frequency symbols of operation data to be sent in the data acquisition equipment through a three-way handshake protocol, and enabling the data acquisition equipment to obtain channel estimation information of the unmanned aerial vehicle;

step S220B, establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment based on the data length information, the pilot frequency symbol and the channel estimation information;

In the concrete implementation, the processes of first handshake, second handshake and third handshake of the unmanned aerial vehicle and the data acquisition equipment are as follows:

in the first handshake process, the data acquisition device repeatedly sends the data packet 1 to the drone several times using a random back-off strategy, requesting to establish communication. The data packet 1 includes a transmitting device Id, a length of data to be transmitted, and a pilot symbol. The sending equipment Id is used for declaring equipment information, the length of data to be sent is used for generating a scheduling strategy to be sent to the unmanned aerial vehicle for communication scheduling, and the pilot symbols are used for channel estimation and beam forming of the unmanned aerial vehicle.

In the second handshake process, the unmanned aerial vehicle monitors a data packet 1 signal of the data acquisition device, and inputs the received device Id and the data length value requested to be sent into a set to be scheduled for generating a scheduling strategy. And meanwhile, channel estimation and beam forming are carried out according to the received pilot symbols, so that the downlink communication efficiency of the unmanned aerial vehicle can be improved. The set to be scheduled and the channel estimation data of each device are stored in the database of the storage unit. The unmanned aerial vehicle utilizes the beam forming technology to send data package 2 to data acquisition equipment through the multi-beam antenna, establishes wireless communication channel. The data packet 2 contains the receiving device Id, channel estimation information, pilot symbols. The receiving device Id is used for indicating the receiving device of the data packet, the channel estimation information is used for providing reference parameters for channel estimation of the data acquisition device, and the pilot symbols are used for accurate channel estimation and adaptive control of transmission power of the data acquisition device.

In the third handshake process, after the data acquisition equipment receives the data packet 2 signal of the unmanned aerial vehicle, the data acquisition equipment sends a data packet 3 to the unmanned aerial vehicle to confirm the receipt, and the step provides redundancy guarantee for communication. Packet 3 includes all of the contents of packet 1 along with a "received" reminder. And after receiving the data packet 3, the unmanned aerial vehicle updates corresponding information in the database of the unmanned aerial vehicle.

Through the three-way handshake process, the unmanned aerial vehicle can obtain the data length information and the pilot frequency symbol of the operating data to be sent in the data acquisition equipment, so that the data acquisition equipment can obtain the channel estimation information of the unmanned aerial vehicle, and the establishment of a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment is further completed.

In this embodiment, establish the wireless communication channel between unmanned aerial vehicle and the data acquisition equipment through the three-way protocol of shaking hands, can ensure to carry out safe and reliable's communication between unmanned aerial vehicle and the data acquisition equipment.

In an exemplary embodiment, after the step S220, establishing a wireless communication channel between the drone and the data acquisition device corresponding to the communication location, the method further includes:

step S221, determining the data volume of the operation data to be sent in each data acquisition device according to the data length information;

step S222, determining scheduling information aiming at each data acquisition equipment according to the data volume, and sending the scheduling information to the corresponding data acquisition equipment; the scheduling information comprises a time period for each data acquisition device to upload operation data to the unmanned aerial vehicle;

step S223, receiving the operation data sent by each data acquisition device according to the corresponding time period.

In the concrete realization, because each data acquisition equipment's mounted position is different, and unmanned aerial vehicle need with each data acquisition equipment in communication range, just can carry out data transmission. Therefore, the unmanned aerial vehicle needs to sequentially reach the communication positions corresponding to the data acquisition devices according to the flight path, and the operation data of the monitoring object can be collected from the data acquisition devices, so that the time for each data acquisition device to send the operation data to the unmanned aerial vehicle is different, and the sending time of each data acquisition device needs to be scheduled.

More specifically, the data volume of the operation data to be sent in each data acquisition device can be determined according to the data length information of the operation data, the time required for each data acquisition device to send the operation data to the unmanned aerial vehicle is predicted according to the data volume, the time when the unmanned aerial vehicle reaches the communication position corresponding to each data acquisition device is further predicted by combining the flight time required by the unmanned aerial vehicle between the two data acquisition devices, so that the time period for each data acquisition device to upload the operation data to the unmanned aerial vehicle is determined, and the scheduling information of each data acquisition device is sent to the corresponding data acquisition device as the scheduling information for each data acquisition device, so that each data acquisition device sends the operation data to the unmanned aerial vehicle according to the corresponding time period.

In practical application, the uplink communication sequence of each data acquisition device can be scheduled according to scheduling algorithms such as data packet priority scheduling, and after the scheduling is completed, the data packets 4 are respectively and repeatedly sent to each data acquisition device. The data packet 4 includes a reception device Id, a scheduling result, and a pilot symbol. The receiving device Id is used for indicating the receiving device of the data packet, the scheduling result is used for declaring a time period in which the device can upload data to the drone, and the pilot symbols are used for the data acquisition device to perform accurate channel estimation and transmit power adaptive control.

And after receiving the data packet 4 signal, the data acquisition equipment sends a data packet 5 in a time period which is declared by a scheduling result and can upload data to the unmanned aerial vehicle. The contents of the data packet 5 include the transmitting device Id, the sensor data (i.e., the operation data) in the storage unit. The sending equipment Id is used for declaring equipment information, and the sensor data in the storage unit is used for carrying out data analysis on the monitoring terminal; after receiving the signal of the data packet 5, the unmanned aerial vehicle stores the content of the signal into a storage unit of the unmanned aerial vehicle, and sends a data packet 6 to data acquisition equipment. The data packet 6 includes a recipient device Id, a prompt to "acknowledge receipt". If the data acquisition equipment does not receive the data packet 6 within a certain time, the transmission power needs to be increased to transmit the data packet 5 to the unmanned aerial vehicle again.

In this embodiment, the data size of the operation data to be sent in each data acquisition device is determined according to the data length information of the operation data, and then the scheduling information for each data acquisition device is determined according to the data size, so that each data acquisition device sends the operation data to the unmanned aerial vehicle according to the corresponding time period, thereby ensuring that the data transmission is performed orderly between each data acquisition device and the unmanned aerial vehicle.

In an exemplary embodiment, the operation data carries an equipment identifier of the data acquisition equipment which transmits the operation data; after receiving the operation data of the monitored object returned by the data acquisition device through the wireless communication channel in step S220, the method further includes: comparing the equipment identification carried by the operation data with a pre-stored acquisition equipment registration table, and determining abnormal acquisition equipment which does not return the operation data; the acquisition equipment registration table records the equipment identifications of all data acquisition equipment installed on the monitored object; and re-establishing a wireless communication channel with the abnormal acquisition equipment, and performing supplementary acquisition on the operation data of the abnormal acquisition equipment through the re-established wireless communication channel.

In the specific implementation, after receiving the operation data returned by each data acquisition device, the unmanned aerial vehicle tandem receives the device identifiers carried by the operation data, so as to confirm that the device identifiers of the returned data are received, compares the device identifiers of the received returned data with a pre-stored acquisition device registration table, so as to determine abnormal acquisition devices which do not return the operation data, and records the abnormal acquisition devices which do not return the operation data into a non-response list. And a wireless communication channel is established again with the abnormal acquisition equipment, and the operation data of the abnormal acquisition equipment is subjected to supplementary acquisition through the reestablished wireless communication channel.

In this embodiment, through unmanned aerial vehicle and the data acquisition equipment that causes the collection failure because of data acquisition equipment's clock skew, equipment wireless interference, unmanned aerial vehicle flight gesture etc. problem reestablish the communication, carry out the supplementary collection of data to ensure to obtain the complete operational data of monitoring object, thereby improve the accuracy to monitoring object's analysis result.

In an exemplary embodiment, after receiving the operation data of the monitored object returned by the data acquisition device through the wireless communication channel in step S220, the method further includes: sending clock alignment information to the data acquisition equipment, and enabling the data acquisition equipment to align the clock of the data acquisition equipment with the clock of the unmanned aerial vehicle according to the clock alignment information; the clock alignment information comprises a plurality of alignment parameters used for clock alignment between the data acquisition equipment and the unmanned aerial vehicle.

The clock alignment information may include, among other things, a current timestamp, a clock synchronization symbol, communication protocol parameters, a time period for the next data collection, and sensor firmware update information.

Wherein the current time stamp is used to provide a unified clock information.

The clock synchronization symbol is used for clock calibration of the data acquisition equipment.

Wherein the communication protocol parameters are used for protocol alignment.

Wherein the time period of the next data collection is used for the next operation of data collection.

The sensor firmware updating information is used for updating the internal operation program of the sensor.

In specific implementation, the unmanned aerial vehicle can encapsulate information such as a current timestamp, a clock synchronization symbol, a communication protocol parameter, a time period of next data collection, and sensor firmware update information in the data packet 7, and broadcast the data packet 7 to each data acquisition device for multiple times, so that each data acquisition device performs each alignment operation according to each alignment parameter.

In this embodiment, clock alignment information is sent to each data acquisition device, so that each data acquisition device aligns its clock with the clock of the unmanned aerial vehicle according to the clock alignment information, and therefore the data acquisition device with low clock precision can send acquired running data to the unmanned aerial vehicle on time when data is collected next time.

Referring to fig. 3, a flow chart of a monitoring method according to another exemplary embodiment is shown, in which the method includes the following steps:

step S310, responding to a flight instruction sent by a control center, and sequentially flying to communication positions corresponding to each data acquisition device according to flight path information in the flight instruction; the data acquisition equipment is arranged at different positions of the area where the monitoring object is located, and the flight path information is determined based on the installation position of each data acquisition equipment;

step S320, under the condition of reaching any communication position, sending an equipment awakening signal to the data acquisition equipment so that the data acquisition equipment responds to the equipment awakening signal and is switched from a monitoring mode to a data communication mode;

step S330, under the condition that the data acquisition equipment is in a data communication mode, establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment through a three-way handshake protocol;

step S340, determining the data volume of the operation data to be sent in each data acquisition device according to the data length information of the operation data;

step S350, determining scheduling information aiming at each data acquisition equipment according to the data volume, and sending the scheduling information to each data acquisition equipment; the scheduling information comprises time periods for uploading the operation data to the unmanned aerial vehicle by each data acquisition device;

step S360, receiving the operation data sent by each data acquisition device according to the corresponding time period, and obtaining the complete operation data of the monitored object based on the operation data returned by each data acquisition device;

step S370, sending complete operation data to a control center; the control center is used for sending the complete operation data to the monitoring terminal so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

The monitoring method provided by the embodiment has the following beneficial effects: 1. the unmanned aerial vehicle collects the operation data of the monitored object, so that the data acquisition equipment is not influenced by signal coverage of a telecommunication operator and WiFi signals in a factory building when being deployed, the convenience in deployment of the data acquisition equipment is improved, and the feasibility of a risk management mode after loan through the Internet of things is further improved; 2. the operation data of the monitored object is collected through the unmanned aerial vehicle, the data are transmitted to the control center through the mobile network of the unmanned aerial vehicle, and only one communication card needs to be purchased for the unmanned aerial vehicle, and the exclusive communication card does not need to be purchased for all data acquisition equipment. Considering that a large amount of data acquisition equipment needs to be deployed in a single monitoring object factory building to collect different data such as water consumption, electricity consumption, machine operation conditions and the like, the purchase cost of a large number of communication cards can be saved; 3. the operation data of the monitoring object is collected through the unmanned aerial vehicle, then the data are transmitted to the control center through the mobile network of the unmanned aerial vehicle, the transmission mode is changed from 'direct connection of data acquisition equipment and the control center' to 'direct connection of the unmanned aerial vehicle and the control center', the connection relation of the communication server of the control center is correspondingly changed from one to many into one to one, and when the monitoring object production operation data are collected through the internet of things in a large amount, the load and the pressure of the communication server of the control center can be remarkably reduced.

In an exemplary embodiment, the application further provides a monitoring system, which comprises data acquisition equipment, an unmanned aerial vehicle, a control center and a monitoring terminal, wherein the data acquisition equipment is installed at different positions of an area where a monitored object is located;

the data acquisition equipment is used for acquiring the operation data of the monitored object and storing the data;

the unmanned aerial vehicle is used for responding to a flight instruction sent by the control center, sequentially flying to communication positions corresponding to the data acquisition equipment according to flight path information in the flight instruction, establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment corresponding to the communication positions under the condition of reaching any communication position, and receiving operation data of a monitoring object returned by the data acquisition equipment through the wireless communication channel; obtaining complete operation data of the monitored object based on the operation data returned by each data acquisition device, and sending the complete operation data to the control center;

In an exemplary embodiment, the unmanned aerial vehicle is further connected with an onboard device, and the unmanned aerial vehicle is in wired connection with the onboard device. Unmanned aerial vehicle still is used for sending control command to airborne equipment after arriving and predetermineeing the position to make airborne equipment send equipment wake-up signal to data acquisition equipment.

As shown in fig. 4, the monitoring system is a schematic structural diagram, and the onboard device includes a broadcasting unit, a first wireless communication unit, a second wireless communication unit, an image collecting unit, and a storage unit. The broadcasting unit is used for transmitting wireless broadcasting signals, and can select to transmit unlicensed 433MHz waveband wireless broadcasting signals with strong penetrating power through a multi-beam antenna so as to ensure that an Internet of things data acquisition module deployed in indoor and basement environments can receive the broadcasting signals; the first wireless communication unit is used for establishing a wireless communication channel with the data acquisition equipment, collecting the operation data transmitted by the data acquisition equipment, and selecting an unlicensed 433MHz wave band with strong penetrating power to ensure that stable communication can be established with the Internet of things data acquisition module deployed in the environment such as indoor environment, basement environment and the like; the second wireless communication unit is used for monitoring mobile network signals of a network operator and establishing a channel with the control center, and transmitting the stored operation data to the control center in batches through the Internet when the mobile network signals are good, wherein the communication protocol can be 4G/5G or a corresponding protocol is selected according to local mobile operator deployment; the image acquisition unit is used for acquiring image data of a monitored object, and can select a high-definition camera supporting 3-10 times of optical zooming and 1080p/30-60fps as required in order to ensure that clear factory image data can be shot in the air; the storage unit is used for storing the collected operation data and image data, and a pluggable storage card with 64GB capacity and 100MB/s reading-writing speed can be selected according to the requirement.

In an exemplary embodiment, as shown in fig. 5, the data acquisition device may include an acquisition unit, a storage unit, and a communication unit. The system comprises a collection unit, a monitoring unit and a control unit, wherein the collection unit is used for collecting water consumption, electricity consumption, machine operation conditions and other operation data which can reflect the production and operation conditions of enterprises; a storage unit for storing the collected operation data; and the communication unit is used for monitoring the broadcast signal of the unmanned aerial vehicle and transmitting the stored operation data to the unmanned aerial vehicle. And for the purpose of energy saving, the communication unit is only started at a specific time interval within a specific time period, and only starts a low-power consumption monitoring mode before receiving the broadcast wake-up signal of the unmanned aerial vehicle, and then enters a normal-power consumption data communication mode after receiving the wake-up signal.

Referring to fig. 6, a schematic diagram of a main workflow of an exemplary drone is shown, including: path planning, broadcast signal transmitting, data batch acquisition, image acquisition, data supplement acquisition and data transmission.

The path planning is to carry out flight path planning according to the arrangement positions of enterprises and data acquisition equipment thereof, and minimize the total flight distance of the unmanned aerial vehicle on the premise of covering the required communication range so as to improve the data acquisition efficiency; transmitting a broadcast signal, wherein the broadcast signal is transmitted through a broadcast unit of the airborne equipment when the communication position near the path point is reached; data batch acquisition, namely establishing communication with data acquisition equipment through a first wireless communication unit of airborne equipment and acquiring data; acquiring images, namely shooting aerial images of enterprises through an image acquisition unit of airborne equipment; data supplementary acquisition, namely reestablishing communication between a first wireless communication unit of airborne equipment and data acquisition equipment which fails in acquisition due to clock offset of the data acquisition equipment, wireless interference among the equipment, flight attitude of an unmanned aerial vehicle and the like in a data batch acquisition process, and performing supplementary acquisition on data; and data transmission, namely uploading all the acquired data to a control center through a second wireless communication unit of the airborne equipment.

Referring to fig. 7, a schematic diagram of a main flow of communication between the data acquisition device and the drone is shown, which includes: device wake-up, device connection, data transmission, communication alignment. The device connection steps can be further detailed into a first handshake, a second handshake, a third handshake and a scheduling policy generation.

The device is awakened, and a communication unit of the data acquisition device is switched from a low-power-consumption monitoring mode to a normal-power-consumption data communication mode when receiving a broadcast awakening signal of the unmanned aerial vehicle; the equipment connection means that a wireless communication channel between the data acquisition equipment and the unmanned aerial vehicle is established; data transmission, namely transmitting data in a storage unit of the data acquisition equipment to the unmanned aerial vehicle; and communication alignment, namely, in order to ensure that the data acquisition equipment with low clock precision can be started on time in the next preset time period, clock synchronization and alignment of communication protocol parameters are required to be carried out with the unmanned aerial vehicle.

Referring to fig. 8, a schematic structural diagram of an exemplary monitoring terminal is shown, which includes a communication unit, a computing unit, and an alarm unit. The communication unit is used for receiving data transmitted by the control center; the storage unit is used for storing the received data; the calculation unit is used for carrying out model analysis on the stored production operation data of the monitoring object and judging whether the production operation of the monitoring object is normal or not; the warning unit is used for sending a monitoring object list with abnormal operation to a manager.

It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.

Based on the same inventive concept, the embodiment of the application also provides a monitoring device for realizing the monitoring method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so specific limitations in one or more embodiments of the monitoring device provided below can be referred to the limitations on the monitoring method in the above, and are not described herein again.

In one embodiment, as shown in fig. 9, there is provided a monitoring device comprising: a flight module 910, a channel establishment module 920, and a data transmission module 930, wherein:

the flight module 910 is configured to respond to a flight instruction sent by the control center, and sequentially fly to communication positions corresponding to the data acquisition devices according to flight path information in the flight instruction; the data acquisition equipment is arranged at different positions of the area where the monitoring object is located, and the flight path information is determined based on the installation position of each data acquisition equipment;

the channel establishing module 920 is configured to establish a wireless communication channel between the unmanned aerial vehicle and a data acquisition device corresponding to a communication position when the unmanned aerial vehicle reaches any communication position, and receive operation data of a monitored object returned by the data acquisition device through the wireless communication channel;

a data sending module 930, configured to obtain complete operation data of the monitored object based on the operation data returned by each data acquisition device, and send the complete operation data to the control center; the control center is used for sending the complete operation data to the monitoring terminal so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

In an embodiment, the channel establishing module 920 is further configured to send a device wake-up signal to the data acquisition device, so that the data acquisition device switches from the monitoring mode to the data communication mode in response to the device wake-up signal; and under the condition that the data acquisition equipment is in a data communication mode, establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment.

In an embodiment, the channel establishing module 920 is further configured to obtain, through a three-way handshake protocol, data length information and a pilot symbol of operation data to be sent in the data acquisition device, and enable the data acquisition device to obtain channel estimation information of the unmanned aerial vehicle; establishing a wireless communication channel between the unmanned aerial vehicle and the data acquisition equipment based on the data length information, the pilot frequency symbol and the channel estimation information; the data length information is used for generating a scheduling strategy for the unmanned aerial vehicle to carry out communication scheduling, the pilot symbols are used for the unmanned aerial vehicle to carry out channel estimation and beam forming, and the channel estimation information is used for providing reference parameters for channel estimation of the data acquisition equipment.

In one embodiment, the apparatus further includes a scheduling module, configured to determine, according to the data length information, a data amount of the operating data to be sent in each data acquisition device; determining scheduling information for each data acquisition device according to the data volume, and sending the scheduling information to each data acquisition device; the scheduling information comprises a time period for each data acquisition device to upload operation data to the unmanned aerial vehicle; and receiving the operation data sent by each data acquisition device according to the corresponding time period.

In one embodiment, the operation data carries an equipment identifier of the data acquisition equipment which transmits the operation data; the device also comprises a channel reconstruction module, a channel reconstruction module and a data processing module, wherein the channel reconstruction module is used for comparing the equipment identification carried by the operation data with a pre-stored acquisition equipment registration table and determining abnormal acquisition equipment which does not return the operation data; the acquisition equipment registration table records the equipment identifications of all data acquisition equipment installed on the monitored object; and re-establishing a wireless communication channel with the abnormal acquisition equipment, and performing supplementary acquisition on the operation data of the abnormal acquisition equipment through the re-established wireless communication channel.

In one embodiment, the apparatus further includes a clock alignment module, configured to send clock alignment information to the data acquisition device, so that the data acquisition device aligns a clock of the data acquisition device with a clock of the unmanned aerial vehicle according to the clock alignment information; the clock alignment information comprises a plurality of alignment parameters used for clock alignment between the data acquisition equipment and the unmanned aerial vehicle.

The modules in the monitoring device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data in the monitoring process. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a monitoring method.

Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.

In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.

In an embodiment, a computer program product is provided, comprising a computer program which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A monitoring method is applied to an unmanned aerial vehicle, and comprises the following steps:

obtaining complete operation data of the monitored object based on operation data returned by each data acquisition device, and sending the complete operation data to the control center; the control center is used for sending the complete operation data to the monitoring terminal, so that the monitoring terminal analyzes the complete operation data, and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

2. The method of claim 1, further comprising, prior to establishing a wireless communication channel between the drone and a data acquisition device corresponding to the communication location:

sending a device wake-up signal to the data acquisition device to enable the data acquisition device to switch from a monitoring mode to a data communication mode in response to the device wake-up signal;

3. The method of claim 1, wherein the establishing a wireless communication channel between the drone and a data acquisition device corresponding to the communication location comprises:

4. The method of claim 3, further comprising, after establishing the wireless communication channel between the drone and the data acquisition device:

determining scheduling information for each data acquisition device according to the data volume, and sending the scheduling information to each data acquisition device; the scheduling information comprises time periods for each data acquisition device to upload operation data to the unmanned aerial vehicle;

5. The method according to any one of claims 1 to 4, wherein the operation data carries an equipment identifier of a data acquisition equipment that transmits the operation data;

comparing the equipment identification carried by the operating data with a pre-stored acquisition equipment registration table, and determining abnormal acquisition equipment which does not return the operating data; the acquisition equipment registration table records the equipment identifications of all data acquisition equipment installed on the monitored object;

6. The method of claim 1, further comprising, after receiving the operational data of the monitored object returned by the data acquisition device over the wireless communication channel:

the clock alignment information comprises a plurality of alignment parameters used for clock alignment of the data acquisition equipment and the unmanned aerial vehicle.

7. A monitoring system is characterized by comprising data acquisition equipment, an unmanned aerial vehicle, a control center and a monitoring terminal, wherein the data acquisition equipment is installed at different positions of an area where a monitored object is located;

8. A monitoring device, the device comprising:

the data sending module is used for obtaining complete operation data of the monitored object based on the operation data returned by each data acquisition device and sending the complete operation data to the control center; the control center is used for sending the complete operation data to the monitoring terminal so that the monitoring terminal analyzes the complete operation data and generates abnormal prompt information aiming at the monitored object when the obtained analysis result is abnormal.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the monitoring method according to any one of claims 1 to 6.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the monitoring method according to any one of claims 1 to 6.

11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the monitoring method of any one of claims 1 to 6.