CN112350904A - Cloud monitoring system based on big data - Google Patents
Cloud monitoring system based on big data Download PDFInfo
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- CN112350904A CN112350904A CN202011165393.3A CN202011165393A CN112350904A CN 112350904 A CN112350904 A CN 112350904A CN 202011165393 A CN202011165393 A CN 202011165393A CN 112350904 A CN112350904 A CN 112350904A
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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
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2823—Reporting information sensed by appliance or service execution status of appliance services in a home automation network
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
- H04L67/14—Session management
- H04L67/146—Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding
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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
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
- H04N7/185—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control
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Abstract
The invention discloses a cloud monitoring system based on big data, which is used for solving the problems of how to mark a monitoring video in a family, analyze a sending value of a family member and reasonably send the monitoring video to a mobile phone terminal of a corresponding family member for storage through the sending value, and comprises an instruction input module, a door and window detection module, a monitoring module, a communication module, a cloud platform, a monitoring analysis module and a cloud storage module; the invention detects the door and the window through the door and window detection module, marks the monitoring video, obtains the sending value of the family member through the analysis of the monitoring analysis module, and reasonably sends the verification video and the common video to the mobile phone terminal of the family member for storage through the sending value; the management values are obtained by normalizing the video size, the access times, the total access time and the storage time, and then the monitored video is reasonably deleted from the family member mobile phone terminal, so that the storage of the mobile phone terminal is reasonably improved.
Description
Technical Field
The invention relates to the field of video monitoring and storage, in particular to a cloud monitoring system based on big data.
Background
The network video monitoring system is a system combining the computer IP video technology, the video and audio data compression and decompression processing technology and the Internet application technology, the remote video control system can release the monitoring information monitoring center, and the monitoring information monitoring center can reach a computer on a desktop through a computer network, so that the monitoring information monitoring system is integrated with an information management system and an office automation system, better serves as a management service and improves the management level and efficiency, and the home video monitoring system is designed by taking the monitoring information as a technical core, so that the management level and efficiency of home environment monitoring are improved;
however, the home video monitoring system has the problems that the monitoring video in the home can not be marked, the sending value of the family member can not be analyzed, and the monitoring video is reasonably sent to the mobile phone terminal of the corresponding family member for storage through the sending value.
Disclosure of Invention
The invention aims to provide a cloud monitoring system based on big data, aiming at solving the problems that how to mark a monitoring video in a family, analyze a sending value of a family member and reasonably send the monitoring video to a mobile phone terminal of a corresponding family member for storage through the sending value.
The purpose of the invention can be realized by the following technical scheme: a cloud monitoring system based on big data comprises an instruction input module, a door and window detection module, a monitoring module, a communication module, a cloud platform, a monitoring analysis module and a cloud storage module;
the instruction input module is used for inputting a door and window detection instruction by a user through a mobile phone terminal and sending the door and window detection instruction to the door and window detection module, the door and window detection module collects the opening and closing of the door and window and analyzes the opening and closing after receiving the door and window detection instruction, a start marking instruction is generated when the door and window is detected to be opened, and a stop marking instruction is generated when the door and window is detected to be closed again; the door and window detection module sends a marking starting instruction and a marking stopping instruction to the monitoring module;
the monitoring module starts marking the video monitored by the monitoring camera after receiving the marking starting instruction, stops marking after receiving the marking stopping instruction, and marks the video monitored between the marking starting instruction and the marking stopping instruction as a verification video; the monitoring module marks unmarked videos as common videos;
the monitoring module generates distribution instructions corresponding to the verification video and the common video, and the monitoring module sends the distribution instructions of the verification video and the common video to the cloud platform through the communication module; the monitoring analysis module is used for acquiring personnel information of family members and analyzing the personnel information to obtain sending values of the family members, the monitoring analysis module sends the sending values to the cloud platform, and the cloud platform sends the sending values to the cloud storage module after receiving the sending values;
and after receiving the sending value, the cloud storage module is in communication connection with the monitoring module and the mobile phone terminal of the family member with the largest sending value, and the monitoring module is used for sending the verification video and the common video to the mobile phone terminal of the family member for storage.
Preferably, the personnel information includes a mobile phone number, a mobile phone model, a purchase time, a total storage space of the mobile phone, an age and a name.
Preferably, the specific steps of analyzing the personnel information by the monitoring and analyzing module are as follows:
the method comprises the following steps: the monitoring analysis module sends a position acquisition instruction and a package acquisition instruction to the mobile phone terminal of the family member, acquires the current real-time position, the residual flow and the residual storage space of the mobile phone terminal pole of the family member, calculates the distance difference between the current position of the family member and the position of the monitoring module to acquire a transmission distance and marks the transmission distance as D1; label the remaining traffic and the remaining storage space as D2 and D3, respectively;
step two: setting all mobile phone models to correspond to a mobile phone preset value, matching the mobile phone models of family members with all the mobile phone models to obtain the corresponding mobile phone preset value, and marking the mobile phone preset value as D4;
step three: calculating the time difference between the purchase time of the family member mobile phone and the current time of the system to obtain the purchase duration and marking the purchase duration as D5;
step four: tagging the age of the family member as D6; carrying out normalization processing on the transmission intervals, the residual flow, the residual storage space, the preset value of the mobile phone, the purchase duration and the age, and taking the numerical values;
step five: using formulas
Acquiring a sending value FS of a family member; wherein mu is a correction factor and takes the value of 0.85367; b1, b2, b3, b4 and b5 are all preset scaling factors.
Preferably, the system further comprises a registration login module, wherein the registration login module is used for submitting the personnel information for registration through a mobile phone terminal by family members and sending the personnel information which is successfully registered to the cloud platform for storage.
Preferably, the intelligent monitoring system further comprises a power supply module, wherein the power supply module is used for supplying power to the monitoring module, the door and window detection module, the instruction input module and the communication module; the monitoring module is a plurality of monitoring cameras installed in a household; the power supply module comprises a storage battery, an electric quantity acquisition unit, an analysis unit and an execution unit; the electric quantity acquisition unit is used for acquiring the residual electric quantity of the storage battery and sending the residual electric quantity to the analysis unit, the analysis unit analyzes the residual electric quantity after receiving the residual electric quantity, when the residual electric quantity is equal to a set threshold value, the analysis unit generates a charging instruction and sends the charging instruction to the execution unit, the execution unit receives the charging instruction and then accesses the storage battery into household electricity for charging, the analysis unit monitors the household electricity simultaneously, when the residual electric quantity is equal to the set threshold value, the state of the household electricity is power failure, a reminding instruction is generated, the analysis unit sends the reminding instruction to a mobile phone terminal of a household member according to preset frequency, when the household member sends a confirmation instruction to the analysis unit through the mobile phone terminal, and the analysis unit stops sending.
Preferably, the system also comprises a storage management module, wherein the storage management module is used for managing the verification video and the common video stored in the family member mobile phone terminal and marking the verification video and the common video as management videos; the storage management module comprises a storage acquisition unit, a storage management unit and a deletion unit; the storage acquisition unit is used for acquiring storage data of the management video in the family member mobile phone terminal and sending the storage data to the storage management unit, wherein the storage data comprises the storage starting time, the video size and the access times of the management video, the access starting time and the access ending time; the storage management unit receives the storage data and performs storage analysis, specifically:
v1: calculating the time difference between the access starting time and the access ending time of the management video to obtain single access time length, summing all the single access time lengths of the management video to obtain the total access time length of the management video, and marking the total access time length as MO 1;
v2: calculating the time difference between the storage starting time and the current time of the system to obtain a storage duration, and marking the storage duration as M02;
v3: marking the video size and the number of accesses of the management video as M03 and M04, respectively; then carrying out normalization processing on the size of the video, the access times, the total access time length and the storage time length and taking the numerical values of the access times, the total access time length and the storage time length;
v4: using formulas
Acquiring a management value GL of a management video; wherein h1i, h2i, h3 and h4 are all preset proportionality coefficients; the value of i is 1 or 2; h11 and h21 are preset proportionality coefficients of the verification video; h12 and h22 are preset proportionality coefficients of the verification video; and h11>h12，h21>h22；
V5: when the value of the management value GL is equal to zero, a deletion instruction of the management video is generated and sent to a deletion unit;
preferably, the deletion unit deletes the management video from the family member mobile phone terminal after receiving the deletion instruction of the management video.
Preferably, the device further comprises an adjusting module; the adjusting module is used for adjusting pixels of a monitoring camera in the monitoring module by family members.
Compared with the prior art, the invention has the beneficial effects that:
1. the instruction input module is used for inputting a door and window detection instruction by a user through a mobile phone terminal and sending the door and window detection instruction to the door and window detection module, the door and window detection module collects the opening and closing of a door and a window and analyzes the opening and closing after receiving the door and window detection instruction, a starting mark instruction is generated when the door and the window are detected to be opened, and a stopping mark instruction is generated when the door and the window are detected to be closed again; the door and window detection module sends a marking starting instruction and a marking stopping instruction to the monitoring module; the monitoring module starts marking the video monitored by the monitoring camera after receiving the marking starting instruction, stops marking after receiving the marking stopping instruction, and marks the video monitored between the marking starting instruction and the marking stopping instruction as a verification video; the monitoring module generates distribution instructions corresponding to the verification video and the common video, and sends the distribution instructions of the verification video and the common video to the cloud platform through the communication module; the monitoring analysis module is used for acquiring personnel information of family members and analyzing the personnel information to obtain sending values of the family members, the monitoring analysis module sends the sending values to the cloud platform, and the cloud platform sends the sending values to the cloud storage module after receiving the sending values; after receiving the sending value, the cloud storage module is in communication connection with the mobile phone terminal of the family member with the largest sending value and the monitoring module, and the monitoring module is used for sending the verification video and the common video to the mobile phone terminal of the family member for storage; detecting a door and a window through a door and window detection module, then marking a monitoring video, analyzing through a monitoring analysis module to obtain a sending value of a family member, and reasonably sending a verification video and a common video to a mobile phone terminal of the family member for storage through the sending value;
2. the storage management module is used for managing the verification video and the common video stored in the family member mobile phone terminal, and marking the verification video and the common video as management videos; the storage management module comprises a storage acquisition unit, a storage management unit and a deletion unit; normalizing the size of the video, the access times, the total access time and the storage time and taking the numerical values of the normalization processing and the total access time and the storage time; acquiring a management value of a management video by using a formula; when the value of the management value is equal to zero, generating a deletion instruction for managing the video and sending the deletion instruction to a deletion unit; the deleting unit deletes the management video from the family member mobile phone terminal after receiving the deleting instruction of the management video; the management values are obtained by normalizing the video size, the access times, the total access time and the storage time, and then the monitored video is reasonably deleted from the family member mobile phone terminal, so that the storage of the mobile phone terminal is reasonably improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a cloud monitoring system based on big data includes an instruction input module, a door and window detection module, a monitoring module, a communication module, a cloud platform, a monitoring analysis module, a cloud storage module, a registration and login module, a power supply module, a storage management module, and an adjustment module;
the instruction input module is used for inputting a door and window detection instruction by a user through a mobile phone terminal and sending the door and window detection instruction to the door and window detection module, the door and window detection module collects the opening and closing of the door and window and analyzes the opening and closing after receiving the door and window detection instruction, a start marking instruction is generated when the door and window is detected to be opened, and a stop marking instruction is generated when the door and window is detected to be closed again; the door and window detection module sends a marking starting instruction and a marking stopping instruction to the monitoring module;
the monitoring module starts marking the video monitored by the monitoring camera after receiving the marking starting instruction, stops marking after receiving the marking stopping instruction, and marks the video monitored between the marking starting instruction and the marking stopping instruction as a verification video; the monitoring module marks unmarked videos as common videos;
the monitoring module generates distribution instructions corresponding to the verification video and the common video, and sends the distribution instructions of the verification video and the common video to the cloud platform through the communication module; the monitoring analysis module is used for acquiring personnel information of family members and analyzing the personnel information to obtain sending values of the family members, the monitoring analysis module sends the sending values to the cloud platform, and the cloud platform sends the sending values to the cloud storage module after receiving the sending values; the personnel information comprises a mobile phone number, a mobile phone model, purchase time, total storage space of the mobile phone, age and name;
and after receiving the sending value, the cloud storage module is in communication connection with the mobile phone terminal of the family member with the largest sending value and the monitoring module, and the monitoring module is used for sending the verification video and the common video to the mobile phone terminal of the family member for storage.
The specific steps of analyzing the personnel information by the monitoring analysis module are as follows:
the method comprises the following steps: the monitoring analysis module sends a position acquisition instruction and a package acquisition instruction to the mobile phone terminal of the family member, acquires the current real-time position, the residual flow and the residual storage space of the mobile phone terminal pole of the family member, calculates the distance difference between the current position of the family member and the position of the monitoring module to acquire a transmission distance and marks the transmission distance as D1; label the remaining traffic and the remaining storage space as D2 and D3, respectively;
step two: setting all mobile phone models to correspond to a mobile phone preset value, matching the mobile phone models of family members with all the mobile phone models to obtain the corresponding mobile phone preset value, and marking the mobile phone preset value as D4;
step three: calculating the time difference between the purchase time of the family member mobile phone and the current time of the system to obtain the purchase duration and marking the purchase duration as D5;
step four: tagging the age of the family member as D6; carrying out normalization processing on the transmission intervals, the residual flow, the residual storage space, the preset value of the mobile phone, the purchase duration and the age, and taking the numerical values;
step five: using formulas
Acquiring a sending value FS of a family member; wherein mu is a correction factor and takes the value of 0.85367; b1, b2, b3, b4 and b5 are all preset scaling factors.
The registration login module is used for submitting personnel information for registration by family members through the mobile phone terminal and sending the personnel information which is successfully registered to the cloud platform for storage;
the power supply module is used for supplying power to the monitoring module, the door and window detection module, the instruction input module and the communication module; the monitoring module is a plurality of monitoring cameras installed in a household; the power supply module comprises a storage battery, an electric quantity acquisition unit, an analysis unit and an execution unit; the household electricity consumption monitoring system comprises an electricity collecting unit, an analyzing unit, an executing unit, a storage battery, a power supply unit, an analyzing unit and an analyzing unit, wherein the electricity collecting unit is used for collecting the residual electricity of the storage battery and sending the residual electricity to the analyzing unit, the analyzing unit analyzes the residual electricity after receiving the residual electricity, the analyzing unit generates a charging instruction and sends the charging instruction to the executing unit when the residual electricity is equal to a set threshold value, the executing unit receives the charging instruction and then accesses the storage battery into household electricity for charging, the analyzing unit simultaneously monitors the household electricity, a reminding instruction is generated when the residual electricity is equal to the set threshold value and the household electricity is in a power failure state, the analyzing unit sends the reminding instruction to a mobile phone terminal of a household member according to a preset;
the storage management module is used for managing the verification video and the common video stored in the family member mobile phone terminal and marking the verification video and the common video as management videos; the storage management module comprises a storage acquisition unit, a storage management unit and a deletion unit; the storage acquisition unit is used for acquiring storage data of the management video in the family member mobile phone terminal and sending the storage data to the storage management unit, wherein the storage data comprises the storage starting time, the video size and the access times of the management video, the access starting time and the access ending time; the storage management unit receives the storage data and performs storage analysis, specifically:
v1: calculating the time difference between the access starting time and the access ending time of the management video to obtain single access time length, summing all the single access time lengths of the management video to obtain the total access time length of the management video, and marking the total access time length as MO 1;
v2: calculating the time difference between the storage starting time and the current time of the system to obtain a storage duration, and marking the storage duration as M02;
v3: marking the video size and the number of accesses of the management video as M03 and M04, respectively; then carrying out normalization processing on the size of the video, the access times, the total access time length and the storage time length and taking the numerical values of the access times, the total access time length and the storage time length;
v4: using formulas
Acquiring a management value GL of a management video; wherein h1i, h2i, h3 and h4 are all preset proportionality coefficients; the value of i is 1 or 2; h11 and h21 are preset proportionality coefficients of the verification video; h12 and h22 are preset proportionality coefficients of the verification video; and h11>h12，h21>h22；
V5: when the value of the management value GL is equal to zero, a deletion instruction of the management video is generated and sent to a deletion unit;
the deleting unit deletes the management video from the family member mobile phone terminal after receiving the deleting instruction of the management video;
the adjusting module is used for the family members to adjust the pixels of the monitoring cameras in the monitoring module;
the formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the mobile phone terminal is used, the instruction input module is used for inputting a door and window detection instruction through the mobile phone terminal by a user and sending the door and window detection instruction to the door and window detection module, the door and window detection module receives the door and window detection instruction and then collects the opening and closing of the door and window and analyzes the opening and closing of the door and window, when the door and window are detected to be opened, a start marking instruction is generated, and when the door and window are detected to be closed again, a stop marking instruction is generated; the door and window detection module sends a marking starting instruction and a marking stopping instruction to the monitoring module; the monitoring module starts marking the video monitored by the monitoring camera after receiving the marking starting instruction, stops marking after receiving the marking stopping instruction, and marks the video monitored between the marking starting instruction and the marking stopping instruction as a verification video; the monitoring module generates distribution instructions corresponding to the verification video and the common video, and sends the distribution instructions of the verification video and the common video to the cloud platform through the communication module; the monitoring analysis module is used for acquiring personnel information of family members and analyzing the personnel information to obtain sending values of the family members, the monitoring analysis module sends the sending values to the cloud platform, and the cloud platform sends the sending values to the cloud storage module after receiving the sending values; after receiving the sending value, the cloud storage module is in communication connection with the mobile phone terminal of the family member with the largest sending value and the monitoring module, and the monitoring module is used for sending the verification video and the common video to the mobile phone terminal of the family member for storage; detecting a door and a window through a door and window detection module, then marking a monitoring video, analyzing through a monitoring analysis module to obtain a sending value of a family member, and reasonably sending a verification video and a common video to a mobile phone terminal of the family member for storage through the sending value; the storage management module is used for managing the verification video and the common video stored in the family member mobile phone terminal and marking the verification video and the common video as management videos; the storage management module comprises a storage acquisition unit, a storage management unit and a deletion unit; normalizing the size of the video, the access times, the total access time and the storage time and taking the numerical values of the normalization processing and the total access time and the storage time; acquiring a management value of a management video by using a formula; when the value of the management value is equal to zero, generating a deletion instruction for managing the video and sending the deletion instruction to a deletion unit; the deleting unit deletes the management video from the family member mobile phone terminal after receiving the deleting instruction of the management video; the management values are obtained by normalizing the video size, the access times, the total access time and the storage time, and then the monitored video is reasonably deleted from the family member mobile phone terminal, so that the storage of the mobile phone terminal is reasonably improved.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A cloud monitoring system based on big data is characterized by comprising an instruction input module, a door and window detection module, a monitoring module, a communication module, a cloud platform, a monitoring analysis module and a cloud storage module;
the instruction input module is used for inputting a door and window detection instruction by a user through a mobile phone terminal and sending the door and window detection instruction to the door and window detection module, the door and window detection module collects the opening and closing of the door and window and analyzes the opening and closing after receiving the door and window detection instruction, a start marking instruction is generated when the door and window is detected to be opened, and a stop marking instruction is generated when the door and window is detected to be closed again; the door and window detection module sends a marking starting instruction and a marking stopping instruction to the monitoring module;
the monitoring module starts marking the video monitored by the monitoring camera after receiving the marking starting instruction, stops marking after receiving the marking stopping instruction, and marks the video monitored between the marking starting instruction and the marking stopping instruction as a verification video; the monitoring module marks unmarked videos as common videos;
the monitoring module generates distribution instructions corresponding to the verification video and the common video, and the monitoring module sends the distribution instructions of the verification video and the common video to the cloud platform through the communication module; the monitoring analysis module is used for acquiring personnel information of family members and analyzing the personnel information to obtain sending values of the family members, the monitoring analysis module sends the sending values to the cloud platform, and the cloud platform sends the sending values to the cloud storage module after receiving the sending values;
and after receiving the sending value, the cloud storage module is in communication connection with the monitoring module and the mobile phone terminal of the family member with the largest sending value, and the monitoring module is used for sending the verification video and the common video to the mobile phone terminal of the family member for storage.
2. The cloud monitoring system based on big data as claimed in claim 1, wherein the personnel information includes phone number, phone model, time of purchase, total storage space of phone, age and name.
3. The cloud monitoring system based on big data according to claim 1, wherein the specific steps of analyzing the personnel information by the monitoring analysis module are as follows:
the method comprises the following steps: the monitoring analysis module sends a position acquisition instruction and a package acquisition instruction to the mobile phone terminal of the family member, acquires the current real-time position, the residual flow and the residual storage space of the mobile phone terminal pole of the family member, calculates the distance difference between the current position of the family member and the position of the monitoring module to acquire a transmission distance and marks the transmission distance as D1; label the remaining traffic and the remaining storage space as D2 and D3, respectively;
step two: setting all mobile phone models to correspond to a mobile phone preset value, matching the mobile phone models of family members with all the mobile phone models to obtain the corresponding mobile phone preset value, and marking the mobile phone preset value as D4;
step three: calculating the time difference between the purchase time of the family member mobile phone and the current time of the system to obtain the purchase duration and marking the purchase duration as D5;
step four: tagging the age of the family member as D6; carrying out normalization processing on the transmission intervals, the residual flow, the residual storage space, the preset value of the mobile phone, the purchase duration and the age, and taking the numerical values;
step five: using formulas
Acquiring a sending value FS of a family member; wherein mu is a correction factor and takes the value of 0.85367; b1, b2, b3, b4 and b5 are all preset scaling factors.
4. The cloud monitoring system based on big data as claimed in claim 1, further comprising a registration login module, wherein the registration login module is used for family members to submit personnel information through a mobile phone terminal for registration and send the personnel information which is successfully registered to the cloud platform for storage.
5. The cloud monitoring system based on big data according to claim 1, further comprising a power supply module, wherein the power supply module is used for supplying power to the monitoring module, the door and window detection module, the instruction input module and the communication module; the monitoring module is a plurality of monitoring cameras installed in a household; the power supply module comprises a storage battery, an electric quantity acquisition unit, an analysis unit and an execution unit; the electric quantity acquisition unit is used for acquiring the residual electric quantity of the storage battery and sending the residual electric quantity to the analysis unit, the analysis unit analyzes the residual electric quantity after receiving the residual electric quantity, when the residual electric quantity is equal to a set threshold value, the analysis unit generates a charging instruction and sends the charging instruction to the execution unit, the execution unit receives the charging instruction and then accesses the storage battery into household electricity for charging, the analysis unit monitors the household electricity simultaneously, when the residual electric quantity is equal to the set threshold value, the state of the household electricity is power failure, a reminding instruction is generated, the analysis unit sends the reminding instruction to a mobile phone terminal of a household member according to preset frequency, when the household member sends a confirmation instruction to the analysis unit through the mobile phone terminal, and the analysis unit stops sending.
6. The cloud monitoring system based on big data as claimed in claim 1, further comprising a storage management module, wherein the storage management module is used for managing the verification video and the ordinary video stored in the family member mobile phone terminal, and marking the verification video and the ordinary video as management videos; the storage management module comprises a storage acquisition unit, a storage management unit and a deletion unit; the storage acquisition unit is used for acquiring storage data of the management video in the family member mobile phone terminal and sending the storage data to the storage management unit, wherein the storage data comprises the storage starting time, the video size and the access times of the management video, the access starting time and the access ending time; the storage management unit receives the storage data and performs storage analysis, specifically:
v1: calculating the time difference between the access starting time and the access ending time of the management video to obtain single access time length, summing all the single access time lengths of the management video to obtain the total access time length of the management video, and marking the total access time length as MO 1;
v2: calculating the time difference between the storage starting time and the current time of the system to obtain a storage duration, and marking the storage duration as M02;
v3: marking the video size and the number of accesses of the management video as M03 and M04, respectively; then carrying out normalization processing on the size of the video, the access times, the total access time length and the storage time length and taking the numerical values of the access times, the total access time length and the storage time length;
v4: using formulas
Acquiring a management value GL of a management video; wherein h1i, h2i, h3 and h4 are all preset proportionality coefficients; the value of i is 1 or 2; h11 and h21 are preset proportionality coefficients of the verification video; h12 and h22 are preset proportionality coefficients of the verification video; and h11>h12，h21>h22；
V5: when the value of the management value GL is equal to zero, a deletion instruction of the management video is generated and sent to a deletion unit;
and the deleting unit deletes the management video from the family member mobile phone terminal after receiving the deleting instruction of the management video.
7. The big-data-based cloud monitoring system according to claim 1, further comprising a regulation module; the adjusting module is used for adjusting pixels of a monitoring camera in the monitoring module by family members.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113163173A (en) * | 2021-04-27 | 2021-07-23 | 沈勤标 | Video data acquisition processing and transmission method based on big data |
| CN113542690A (en) * | 2021-07-16 | 2021-10-22 | 安徽中电光达通信技术有限公司 | Building construction safety monitoring system and method |
| CN113709060A (en) * | 2021-08-27 | 2021-11-26 | 南京邮电大学 | Mobile phone short video flow delay control method and system based on big data |
-
2020
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113163173A (en) * | 2021-04-27 | 2021-07-23 | 沈勤标 | Video data acquisition processing and transmission method based on big data |
| CN113163173B (en) * | 2021-04-27 | 2022-09-23 | 国网山东省电力公司泰安供电公司 | Video data acquisition processing and transmission method based on big data |
| CN113542690A (en) * | 2021-07-16 | 2021-10-22 | 安徽中电光达通信技术有限公司 | Building construction safety monitoring system and method |
| CN113542690B (en) * | 2021-07-16 | 2024-04-26 | 安徽中电光达通信技术有限公司 | Building construction safety monitoring system and method |
| CN113709060A (en) * | 2021-08-27 | 2021-11-26 | 南京邮电大学 | Mobile phone short video flow delay control method and system based on big data |
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