CN113891046B - Wireless video monitoring system and method - Google Patents
Wireless video monitoring system and method Download PDFInfo
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- CN113891046B CN113891046B CN202111154504.5A CN202111154504A CN113891046B CN 113891046 B CN113891046 B CN 113891046B CN 202111154504 A CN202111154504 A CN 202111154504A CN 113891046 B CN113891046 B CN 113891046B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0811—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention relates to the technical field of monitoring, and particularly discloses a wireless video monitoring system and a wireless video monitoring method, wherein the method comprises the steps of acquiring real-time video data by utilizing a video monitor, obtaining original real-time video data and uploading the original real-time video data to an embedded server; encoding the acquired original real-time video data and generating real-time encoded data; storing the real-time encoded data; the mobile terminal sends a request to the embedded server; after receiving the request, the embedded server reads the real-time coding data stored in the embedded server and transmits the corresponding real-time coding data to the mobile terminal; after receiving the corresponding real-time coded data, the mobile terminal continues to decode the corresponding real-time coded data to obtain an analog video signal; and displaying the obtained analog video signal. According to the scheme, the monitoring point can be monitored remotely in real time, and the problem that a monitoring blind area appears in the monitoring point by a worker is avoided.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a wireless video monitoring system and method.
Background
With the continuous development of society, the safety problem is more and more concerned by social people, and in order to better ensure the life safety and property safety of people, video monitoring systems are installed in all places so as to monitor all corners in real time, thereby ensuring that the staff can timely take corresponding safety protection measures and retain corresponding evidences when accidents occur.
The security monitoring installed in various places at present is mostly based on a wired video learning monitoring system, the monitoring system usually needs staff to watch the monitoring center and check the monitoring video, so that the situation of each monitoring place can be mastered in time, and the security protection means can be implemented at the first time.
Based on the above, a wireless video monitoring system and a wireless video monitoring method are needed, which can monitor a monitoring point remotely in real time, and avoid the occurrence of a monitoring blind area of a monitoring point by a worker.
Disclosure of Invention
The invention aims to provide a wireless video monitoring system and a wireless video monitoring method, which can be used for remotely and real-timely monitoring a monitoring point and avoid the occurrence of a monitoring blind area of a monitoring point by a worker.
In order to achieve the above object, the present invention provides a wireless video monitoring system, including: the system comprises a video monitor, an embedded server and a mobile terminal;
the embedded server includes:
the real-time video acquisition module is used for acquiring the real-time video data monitored by the video monitor to obtain original real-time video data;
the encoding module is used for encoding the acquired original real-time video data to generate real-time encoded data;
the storage module is used for storing the real-time coded data;
the data request receiving module is used for receiving a request sent by the data mobile terminal;
the WIFI module is used for reading the real-time coding data in the storage module after receiving the request of the mobile terminal and transmitting the corresponding real-time coding data to the mobile terminal;
the mobile terminal includes:
the data request sending module is used for sending a request to the embedded server;
and the decoding module is used for decoding the real-time encoded data to generate an analog video signal.
The principle and effect of this scheme are: after the video monitor monitors the monitoring points, the embedded server receives the real-time video data monitored by the video monitor to collect the real-time video data, generates corresponding original real-time video data, encodes the collected data, converts the corresponding data into data signals, and stores the real-time encoded data in the storage module. And after the mobile terminal sends a request to the embedded server, the embedded server reads the real-time coding data stored in the embedded server after receiving the request and transmits the real-time coding data to the mobile terminal through the WiFi module, and the mobile terminal codes the real-time coding data after receiving the real-time coding data to generate a corresponding analog video signal.
According to the method and the device, the monitoring video monitored by the video monitor is transmitted to the mobile terminal through the wireless transmission in the process of encoding and decoding, so that a worker can check the monitoring video of the monitoring point in real time through the mobile terminal, the monitoring point can be monitored in real time remotely, and the problem that the worker has a monitoring blind area to the monitoring point is avoided.
Further, the embedded server further includes:
the network detection module is used for detecting the current network connection state;
the storage space monitoring module monitors the storage space of the storage module in real time if the current network is in a disconnected state, and generates storage space data;
the space stock judging module is used for judging the storage space data according to a preset judging strategy, judging that the corresponding storage space data is full if the preset judging strategy is met, otherwise, judging that the corresponding storage space data is not full, and obtaining a judging result after the judging is finished;
and the processing module is used for identifying all the real-time coded data stored in the storage module when the corresponding judging result is that the storage space data is full, matching the real-time coded data in a preset time period and deleting the real-time coded data in the preset time period.
By judging the connection state of the current network, when the current network is in the disconnection state, the storage space in the embedded server is monitored in real time to obtain storage space data, the storage state of the storage space data is judged, when the storage space data is full, the real-time coding data in a preset time period are matched with the real-time coding data in the preset time period, and meanwhile the real-time coding data in the preset time period are deleted, so that when the network is disconnected, the real-time coding data in the preset time period can be deleted, the preset time period is a time node when no personnel or no few persons flow at the monitoring point, and therefore, a part of space for storing more data can be saved, and the maintenance of the monitoring data in the time period with larger flow is realized.
Further, the embedded server further includes:
the data acquisition module is used for acquiring the current time and the corresponding data transmission speed under the current time;
the prediction module is used for predicting the network connection state of the next time according to the current time and the corresponding data transmission speed in the current time;
and the uploading module is used for uploading the real-time coding data in the storage module to the cloud end at the current time if the network is predicted to be in the disconnected state at the next time.
The data stored in the storage module is uploaded to the cloud in advance through the network connection state at the next time, so that more storage space can be removed for the monitoring data in the period when the network is disconnected, and meanwhile, as much monitoring data as possible can be kept, the monitoring data of the monitoring points are more perfect, and monitoring blanks appear as little as possible.
Further, the preset judging strategy is to compare the obtained storage space data with a preset maximum storage space, if the storage space data is smaller than the preset maximum storage space, judge that the corresponding storage space data is full, and if the storage space data is equal to the preset maximum storage space, judge that the corresponding storage space data is not full.
The storage state of the current storage space can be accurately judged by comparing the current storage space data with the preset maximum storage space of the whole storage space, and the problem that the storage space is full and then stores data is avoided.
Further, the mobile terminal further comprises a display module for displaying the generated analog video signal.
The analog video signal can be well displayed through the display module, so that a worker can check a monitoring picture through the mobile terminal.
The invention also provides a wireless video monitoring method, which comprises the following steps:
s100, acquiring real-time video data by utilizing a video monitor to obtain original real-time video data, and uploading the original real-time video data to an embedded server;
s200, encoding the acquired original real-time video data and generating real-time encoded data;
s300, storing the real-time coded data;
s400, the mobile terminal sends a request to the embedded server;
s500, after receiving the request, the embedded server reads the real-time coding data stored in the embedded server and transmits the corresponding real-time coding data to the mobile terminal;
s600, after receiving the corresponding real-time coded data, the mobile terminal continues to decode the corresponding real-time coded data to obtain an analog video signal;
and S700, displaying the obtained analog video signal.
The principle and effect of this scheme are: the embedded server receives the original real-time video data obtained by the video monitor for monitoring the monitoring point in real time, then encodes the data to generate corresponding real-time encoded data and stores the real-time encoded data. When a worker accesses the monitoring content through the mobile terminal, the mobile terminal sends a request to the embedded server, the embedded server reads real-time coding data stored in the embedded server after receiving the request and sends the corresponding real-time coding data to the mobile terminal, the mobile terminal decodes the real-time coding data to obtain analog video signals and displays the signals, so that the worker can check the monitoring content by using the mobile terminal, and no matter where the worker is, the worker can check the monitoring condition of the monitoring point remotely as long as the corresponding mobile terminal is provided, and the monitoring point can be monitored remotely in real time.
According to the method and the device, the monitoring video monitored by the video monitor is transmitted to the mobile terminal through the wireless transmission in the process of encoding and decoding, so that a worker can check the monitoring video of the monitoring point in real time through the mobile terminal, the monitoring point can be monitored in real time remotely, and the problem that the worker has a monitoring blind area to the monitoring point is avoided.
Further, the S500 includes:
s501-1, after receiving a request sent by a mobile terminal, an embedded server detects the current network connection state;
s501-2, if the current network connection state is detected to be normal, reading real-time coded data stored in an embedded server, and then transmitting the corresponding real-time coded data to a mobile terminal;
s501-3, monitoring a storage space in the embedded server if the current network is detected to be in a disconnected state, and generating corresponding storage space data;
s501-4, judging the storage space data according to a preset judging strategy, if the preset judging strategy is met, judging that the corresponding storage space data is full, otherwise, judging that the corresponding storage space data is not full, and obtaining a judging result after the judging is finished;
and S501-5, when the corresponding judging result is that the storage space data is full, identifying all the real-time coding data stored in the storage module, matching the real-time coding data in a preset time period, and deleting the real-time coding data in the preset time period.
In order to prevent the problems of overlapping and crowding of data and the like caused by the fact that real-time encoded data is stored in a storage space in an embedded server continuously after a network is disconnected, the storage space data of the embedded server is monitored when the network is disconnected, a result obtained by monitoring is judged, how the storage condition of the storage space in the whole embedded server is judged, and when the maximum storage is achieved, the real-time encoded data in a preset time period are matched and deleted, so that the monitoring data under the condition that some people flow little or no personnel flow can be deleted, and the storage of the more important data is moved out of the space.
Further, the S500 further includes:
s502-1, acquiring the current time and the corresponding data transmission speed under the current time;
s502-2, predicting the network connection state of the next time according to the acquired current time and the corresponding data transmission speed under the current time;
s502-3, if the prediction result is that the network is in a disconnected state at the next time, uploading the real-time coding data stored in the embedded server to the cloud end at the current time.
The network connection state of the next time is judged, when the network is in the disconnection state of the next time, the stored real-time coded data in the current time is uploaded to the cloud, so that more storage space can be removed for the monitoring data in the period of time when the network is disconnected, and meanwhile, as much monitoring data as possible can be kept, so that the monitoring data of the monitoring point is more perfect, and monitoring blanks appear as little as possible.
Further, the preset decision strategy in S501-4 is to compare the obtained storage space data with the preset maximum storage space, if the storage space data is smaller than the preset maximum storage space, it is determined that the corresponding storage space data is full, and if the storage space data is equal to the preset maximum storage space, it is determined that the corresponding storage space data is not full.
The storage state of the current storage space can be accurately judged by comparing the current storage space data with the preset maximum storage space of the whole storage space, and the problem that the storage space is full and then stores data is avoided.
Drawings
Fig. 1 is a logic block diagram of a wireless video monitoring system according to a first embodiment of the present invention.
Fig. 2 is a flowchart of a wireless video monitoring method according to a first embodiment of the invention.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
Embodiment one is substantially as shown in fig. 1: a wireless video monitoring system comprises a video monitor, an embedded server and a mobile terminal.
The embedded server includes:
the real-time video receiving module is used for receiving the real-time video data monitored by the video monitor and collecting the real-time video data to obtain original real-time video data;
the encoding module is used for encoding the acquired original real-time video data to generate real-time encoded data;
the storage module is used for storing the real-time coded data;
the data request receiving module is used for receiving a request sent by the data mobile terminal;
the WIFI module is used for reading the real-time coding data in the storage module after receiving the request of the mobile terminal and transmitting the corresponding real-time coding data to the mobile terminal;
the network detection module is used for detecting the current network connection state;
the storage space monitoring module monitors the storage space of the storage module in real time if the current network is in a disconnected state, and generates storage space data;
the space stock judging module is used for judging the storage space data according to a preset judging strategy, judging that the corresponding storage space data is full if the preset judging strategy is met, otherwise, judging that the corresponding storage space data is not full, and obtaining a judging result after the judging is finished;
and the processing module is used for identifying all the real-time coded data stored in the storage module when the corresponding judging result is that the storage space data is full, matching the real-time coded data in a preset time period and deleting the real-time coded data in the preset time period.
The data acquisition module is used for acquiring the current time and the corresponding data transmission speed under the current time;
the prediction module is used for predicting the network connection state of the next time according to the current time and the corresponding data transmission speed in the current time;
in this embodiment, the prediction module is a BP neural network model, predicts the next time network connection state by using the BP neural network technology, and first constructs a BP neural network model, which is divided into an input layer, an output layer and a hidden layer, where in this embodiment, the input layer is the current time and the corresponding data transmission speed, so there are 2 nodes of the input layer, and the next time network connection state is input, so there are 1 two nodes of the input layer, and for the hidden layer, the present embodiment uses the following formula to determine the number of hidden layer nodes:
where l is the number of nodes in the hidden layer, n is the number of nodes in the input layer, m is the number of nodes in the output layer, a is a number between 1 and 10, and in this embodiment, 5 is taken, so that the hidden layer has 6 nodes in total. BP neural networks typically employ Sigmoid micromanipulations and linear functions as the excitation functions of the network. The sigmoid tangent function tansig is chosen herein as the excitation function of the hidden layer neurons. The predictive model selects an S-shaped logarithmic function tan sig as the excitation function of the neurons of the output layer. After the BP network model is built, the model is trained by using historical data, namely the times of network disconnection, time nodes for network disconnection starting and network disconnection time length, and the model obtained after training can obtain more accurate prediction results.
And the uploading module is used for uploading the real-time coding data in the storage module to the cloud end at the current time if the network is predicted to be in the disconnected state at the next time.
The mobile terminal comprises:
the data request sending module is used for sending a request to the embedded server;
and the decoding module is used for decoding the real-time encoded data to generate an analog video signal.
And the display module is used for displaying the generated analog video signal.
As shown in fig. 2, this embodiment also discloses a wireless video monitoring method, which includes the following steps:
s100, acquiring real-time video data by utilizing a video monitor to obtain original real-time video data, and uploading the original real-time video data to an embedded server;
s200, encoding the acquired original real-time video data and generating real-time encoded data;
s300, storing the real-time coded data;
s400, the mobile terminal sends a request to the embedded server;
s500, after receiving the request, the embedded server reads the real-time coding data stored in the embedded server and transmits the corresponding real-time coding data to the mobile terminal;
s600, after receiving the corresponding real-time coded data, the mobile terminal continues to decode the corresponding real-time coded data to obtain an analog video signal;
and S700, displaying the obtained analog video signal.
Wherein, the S500 includes:
s501-1, after receiving a request sent by a mobile terminal, an embedded server detects the current network connection state;
s501-2, if the current network connection state is detected to be normal, reading real-time coded data stored in an embedded server, and then transmitting the corresponding real-time coded data to a mobile terminal;
s501-3, monitoring a storage space in the embedded server if the current network is detected to be in a disconnected state, and generating corresponding storage space data;
s501-4, judging the storage space data according to a preset judging strategy, if the preset judging strategy is met, judging that the corresponding storage space data is full, otherwise, judging that the corresponding storage space data is not full, and obtaining a judging result after the judging is finished;
the preset decision strategy in S501-4 is to compare the obtained storage space data with the preset maximum storage space, if the storage space data is smaller than the preset maximum storage space, it is determined that the corresponding storage space data is full, and if the storage space data is equal to the preset maximum storage space, it is determined that the corresponding storage space data is not full.
And S501-5, when the corresponding judging result is that the storage space data is full, identifying all the real-time coding data stored in the embedded server, matching the real-time coding data in a preset time period, and deleting the real-time coding data in the preset time period.
For example, when the place monitored by the monitoring system is a school, after the embedded server receives a request sent by a mobile terminal of a staff of the school, and when it is detected that the current network is in a disconnected state, the storage condition of a storage space for storing data in the current embedded server is judged, at this time, the storage space data is found to be 310G by comparison, and the maximum storage space service 310G is preset, at this time, the corresponding storage space is judged to be full, at this time, all real-time coded data stored in the current embedded server are identified, real-time coded data in a preset time period are found, and no person is basically present in 12 pm to 5 pm in general in the school, so the preset time period is set in the interval of 12 pm to 5 pm, and then the real-time coded data in the time period is deleted, so that a sufficient space is provided for storing the real-time coded data later.
The S500 further includes:
s502-1, acquiring the current time and the corresponding data transmission speed under the current time;
s502-2, predicting the network connection state of the next time according to the acquired current time and the corresponding data transmission speed under the current time;
s502-3, if the prediction result is that the network is in a disconnected state at the next time, uploading the real-time coding data stored in the embedded server to the cloud end at the current time.
The foregoing is merely an embodiment of the present invention, the present invention is not limited to the field of this embodiment, and the specific structures and features well known in the schemes are not described in any way herein, so that those skilled in the art will know all the prior art in the field before the application date or priority date, and will have the capability of applying the conventional experimental means before the date, and those skilled in the art may, in light of the teaching of this application, complete and implement this scheme in combination with their own capabilities, and some typical known structures or known methods should not be an obstacle for those skilled in the art to practice this application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (7)
1. A wireless video monitoring system, comprising: the system comprises a video monitor, an embedded server and a mobile terminal;
the embedded server includes:
the real-time video receiving module is used for receiving the real-time video data monitored by the video monitor and collecting the real-time video data to obtain original real-time video data;
the encoding module is used for encoding the acquired original real-time video data to generate real-time encoded data;
the storage module is used for storing the real-time coded data;
the data request receiving module is used for receiving a request sent by the data mobile terminal;
the WIFI module is used for reading the real-time coding data in the storage module after receiving the request of the mobile terminal and transmitting the corresponding real-time coding data to the mobile terminal;
the mobile terminal includes:
the data request sending module is used for sending a request to the embedded server;
the decoding module is used for decoding the real-time encoded data to generate an analog video signal;
the embedded server further includes:
the data acquisition module is used for acquiring the current time and the corresponding data transmission speed under the current time;
the prediction module is used for predicting the network connection state of the next time according to the current time and the corresponding data transmission speed in the current time;
and the uploading module is used for uploading the real-time coding data in the storage module to the cloud end at the current time if the network is predicted to be in the disconnected state at the next time.
2. The wireless video monitoring system of claim 1, wherein: the embedded server further includes:
the network detection module is used for detecting the current network connection state;
the storage space monitoring module monitors the storage space of the storage module in real time if the current network is in a disconnected state, and generates storage space data;
the space stock judging module is used for judging the storage space data according to a preset judging strategy, judging that the corresponding storage space data is full if the preset judging strategy is met, otherwise, judging that the corresponding storage space data is not full, and obtaining a judging result after the judging is finished;
and the processing module is used for identifying all the real-time coded data stored in the storage module when the corresponding judging result is that the storage space data is full, matching the real-time coded data in a preset time period and deleting the real-time coded data in the preset time period.
3. A wireless video monitoring system according to claim 2, wherein: the preset judgment strategy is to compare the obtained storage space data with a preset maximum storage space, judge that the corresponding storage space data is not full if the storage space data is smaller than the preset maximum storage space, and judge that the corresponding storage space data is full if the storage space data is equal to the preset maximum storage space.
4. A wireless video monitoring system according to claim 3, wherein: the mobile terminal also comprises a display module for displaying the generated analog video signal.
5. The wireless video monitoring method is characterized by comprising the following steps of:
s100, acquiring real-time video data by utilizing a video monitor to obtain original real-time video data, and uploading the original real-time video data to an embedded server;
s200, encoding the acquired original real-time video data and generating real-time encoded data;
s300, storing the real-time coded data;
s400, the mobile terminal sends a request to the embedded server;
s500, after receiving the request, the embedded server reads the real-time coding data stored in the embedded server and transmits the corresponding real-time coding data to the mobile terminal;
s600, after receiving the corresponding real-time coded data, the mobile terminal continues to decode the corresponding real-time coded data to obtain an analog video signal;
s700, displaying the obtained analog video signal;
the S500 further includes:
s502-1, acquiring the current time and the corresponding data transmission speed under the current time;
s502-2, predicting the network connection state of the next time according to the acquired current time and the corresponding data transmission speed under the current time;
s502-3, if the prediction result is that the network is in a disconnected state at the next time, uploading the real-time coding data stored in the embedded server to the cloud end at the current time.
6. The wireless video monitoring method according to claim 5, wherein: the S500 includes:
s501-1, after receiving a request sent by a mobile terminal, an embedded server detects the current network connection state;
s501-2, if the current network connection state is detected to be normal, reading real-time coded data stored in an embedded server, and then transmitting the corresponding real-time coded data to a mobile terminal;
s501-3, monitoring a storage space in the embedded server if the current network is detected to be in a disconnected state, and generating corresponding storage space data;
s501-4, judging the storage space data according to a preset judging strategy, if the preset judging strategy is met, judging that the corresponding storage space data is full, otherwise, judging that the corresponding storage space data is not full, and obtaining a judging result after the judging is finished;
and S501-5, when the corresponding judging result is that the storage space data is full, identifying all the real-time coding data stored in the embedded server, matching the real-time coding data in a preset time period, and deleting the real-time coding data in the preset time period.
7. The wireless video monitoring method according to claim 6, wherein: the preset decision strategy in S501-4 is to compare the obtained storage space data with the preset maximum storage space, if the storage space data is smaller than the preset maximum storage space, it is determined that the corresponding storage space data is not full, and if the storage space data is equal to the preset maximum storage space, it is determined that the corresponding storage space data is full.
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| CN113313268A (en) * | 2021-06-11 | 2021-08-27 | 杭州煋辰数智科技有限公司 | Federal learning-based prediction method and device, storage medium and remote sensing equipment |
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