CN111045373A - Furniture monitoring system and method based on cloud service - Google Patents
Furniture monitoring system and method based on cloud service Download PDFInfo
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- CN111045373A CN111045373A CN201911408234.9A CN201911408234A CN111045373A CN 111045373 A CN111045373 A CN 111045373A CN 201911408234 A CN201911408234 A CN 201911408234A CN 111045373 A CN111045373 A CN 111045373A
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B2219/20—Pc systems
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Abstract
The invention belongs to the technical field of smart home, and discloses a furniture monitoring system and method based on cloud service, wherein the furniture monitoring method based on cloud service comprises the following steps: setting and integrally monitoring furniture information, and determining position information of the furniture; monitoring the temperature and humidity, the smoke concentration and the formaldehyde concentration around the furniture, and early warning abnormal information; data transmission is carried out in a ZigBee wireless communication mode; and storing and displaying the real-time data. The invention can set the temperature and practice data suitable for storing different furniture and store the data; the temperature and humidity information of the position of the furniture is measured through the monitoring module, the surface state of the furniture is recorded through the furniture identification module, and then the information is compared with the stored information to obtain the change data of the furniture information; and the display module is used for displaying or reminding the user, so that the furniture is nursed in time.
Description
Technical Field
The invention belongs to the technical field of smart home, and particularly relates to a furniture monitoring system and method based on cloud service.
Background
Currently, the closest prior art: the existing furniture is mostly wood, cloth or leather, the paint on the surface of the wood furniture is locally discolored after the wood furniture is affected with damp, mildew occurs, the damp part is expanded and deformed, and the connecting part of the wood is cracked; wooden furniture exposed for a long time is easy to discolor and surface paint is easy to fall off; cloth and leather furniture become mildewed and even rot after being affected with damp, and bad smell is emitted; in a long-time dry environment, the cloth art and leather furniture have signs of skin damage and peeling off and are difficult to continue to use. Along with the improvement of living standard, people's requirement to furniture is stricter, consequently keeps the problem of furniture good condition to receive the attention, but does not have the system that can monitor the furniture state at present, can't in time nurse furniture. The ZigBee technology is a bidirectional wireless communication technology which has low cost, low power consumption, strong networking capability, extremely low complexity and low speed, and is used by fixed or mobile equipment. However, the ZigBee technology is mostly used for intelligent control of home at present, and application of monitoring of home equipment is not reported temporarily.
In summary, the problems of the prior art are as follows: at present, a system capable of monitoring the state of furniture does not exist, and the furniture cannot be nursed in time; and the application of the ZigBee technology to the monitoring of the household equipment is not reported temporarily.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a furniture monitoring system and method based on cloud service.
The invention is realized in such a way that a furniture monitoring method based on cloud service comprises the following steps:
step one, setting furniture information through input equipment, wherein the furniture information comprises the type and material of furniture and the temperature endured by the furniture; carry out the overall monitoring through the furniture of camera placing indoor:
(1) starting a camera to acquire images of indoor furniture;
(2) processing the collected furniture video images, and extracting the furniture features in the target object area;
(3) acquiring depth information of a target object region by adopting a combined matching and depth correction model based on binocular vision;
(4) determining whether the furniture has an occlusion area; if the furniture is a single furniture, whether the rectangle in which the furniture is located is overlapped with other rectangles or whether other rectangles exist in a certain area range is quickly detected by adopting a geometric calculation method; if the overlapped area exists or other rectangles exist, a furniture image-based area mapping detection method is adopted to detect whether furniture exists in the overlapped area or the area between the two rectangles so as to further roughly judge whether the furniture has a shielding area.
Controlling the normal operation of the furniture monitoring system through the central controller; determining position information of the furniture by a signal transmitter:
(I) each transmitter is arranged in the room and used for indicating a specific piece of furniture in the room;
(II) the wireless signal transmitted by each transmitter at least carries the furniture identification of the furniture indicated by each transmitter and the indoor position information of the indicated furniture;
and (III) matching the target furniture identifier which is currently used as the finishing target with the furniture identifier in the wireless signal transmitted by each transmitter to acquire the position information corresponding to the matched furniture identifier.
Thirdly, early warning is carried out on abnormal information around the furniture through an audible and visual alarm; data transmission is carried out in a ZigBee wireless communication mode:
1) the mobile terminal sends information containing a control code to a central controller;
2) the central controller carries out format processing on the received information and then transmits the information to the ZigBee wireless communication device in a wireless signal form;
3) the ZigBee wireless communication device decodes the received detection information and feeds the decoded detection information back to the baseband processor for processing;
4) and transmitting the data through a radio frequency antenna in the ZigBee wireless communication device, and transmitting the data to the mobile terminal through a mobile communication network.
Step four, storing the set furniture information, the video information of the overall furniture monitoring, the temperature and humidity state around the furniture, the smoke concentration, the formaldehyde concentration and the real-time data of the early warning information through a memory:
a) when a trigger instruction of a parameter setting module is detected, determining a field to be stored of the trigger instruction;
b) and when a memory sending instruction is detected, sending the detected to-be-stored field to the memory.
Further, between the second step and the third step, the following steps are required:
step I, monitoring the temperature and humidity state around the furniture through a temperature and humidity sensor;
step II, detecting smoke concentration information around the furniture through a smoke detection device;
and III, monitoring the formaldehyde concentration around the furniture in real time through a formaldehyde detector.
After the fourth step, the following steps are required:
and 3, displaying the set furniture information, the video information of the furniture overall monitoring, the temperature and humidity state around the furniture, the smoke concentration, the formaldehyde concentration and the real-time data of the early warning information through a display.
Further, in the step one, the method for processing the acquired furniture video image and extracting the furniture features in the target object region in the step (2) is as follows:
①, image preprocessing by adopting a self-adaptive wiener filtering method;
②, removing useless information in the preprocessed image by adopting a dynamic threshold layer-by-layer peeling segmentation method based on color features;
③, acquiring furniture feature information in the image by adopting a clustering segmentation algorithm based on color features and texture features, wherein the extraction of the texture features adopts a Contourlet transformation method;
④ removing the segmentation fragments in the segmented image by a denoising method based on texture features;
⑤ finally, framing all connected regions in the image by adopting a horizontal minimum external rectangle method, extracting isolated regions in the compensated images in each rectangle, and repairing holes by overlapping the isolated region images and the original images.
Further, in the first step, the method for acquiring depth information of the target object region in the step (3) is as follows:
and determining the depth information of the communicated region in each minimum circumscribed rectangle by adopting a combined matching and depth correction model based on binocular vision, removing the region beyond the working depth of the picking robot, and using the depth information for subsequent processing.
Further, in the second step, the wireless signal transmitted by each transmitter also carries the transmission time information when each transmitter transmits the wireless signal; correspondingly, the central processing unit is also used for detecting the distance between each transmitter and the central processing unit in real time according to the transmitting time information of each transmitter when transmitting the wireless signals and the receiving time information of each transmitter when receiving the wireless signals transmitted by each transmitter.
Further, in the second step, after the position information corresponding to the matched furniture identifier is obtained in the step (III), the current working parameter of the intelligent furniture is updated to a target working parameter, and the target working parameter is matched with the arrangement target.
Further, in step three, the method for processing the decoded detection information by the baseband processor specifically includes:
the baseband processor preprocessing unit reads data from a memory and provides an initial value for the random number unit;
the random number unit generates a numerical value with certain randomness from an initial value according to a preset algorithm;
the baseband processor analyzes the decoded detection information through the decoding unit, extracts and analyzes command parameters, and partial commands are matched with numerical values in the memory;
the encoding unit of the baseband processor encodes the outgoing data to generate data in a preset format;
when the baseband processor is in a coding state, the coding unit codes the external data and sends the coded corresponding data, and the CRC unit simultaneously calculates and sends a CRC coding value of the data.
Another object of the present invention is to provide a cloud-based furniture monitoring system using the cloud-based furniture monitoring method, wherein the cloud-based furniture monitoring system includes:
the intelligent household furniture monitoring system comprises a parameter setting module, a furniture monitoring module, a central control module, a furniture positioning module, a temperature and humidity monitoring module, a smoke concentration monitoring module, a formaldehyde monitoring module, an early warning module, a ZigBee communication module, a data storage module, a terminal module, a power supply module and a display module.
The parameter setting module is connected with the central control module and used for setting the furniture information through input equipment; the furniture information comprises the type and material of the furniture and the temperature endured by the furniture;
the furniture monitoring module is connected with the central control module and is used for integrally monitoring the furniture placed indoors through the camera;
the furniture positioning module is connected with the central control module and used for determining the position information of the furniture through the signal transmitter;
the central control module is connected with the parameter setting module, the furniture monitoring module, the furniture positioning module, the temperature and humidity monitoring module, the smoke concentration monitoring module, the formaldehyde monitoring module, the early warning module, the ZigBee communication module, the data storage module, the terminal module, the power supply module and the display module and is used for controlling the normal operation of each module through the central controller;
the temperature and humidity monitoring module is connected with the central control module and used for monitoring the temperature and humidity state around the furniture through a temperature and humidity sensor;
the smoke concentration monitoring module is connected with the central control module and used for detecting smoke concentration information around the furniture through the smoke detection device;
the formaldehyde monitoring module is connected with the central control module and is used for monitoring the formaldehyde concentration around the furniture in real time through a formaldehyde detector;
the early warning module is connected with the central control module and is used for early warning the abnormal information around the furniture through the audible and visual alarm;
the ZigBee communication module is connected with the central control module and is used for transmitting data in a ZigBee wireless communication mode;
the data storage module is connected with the central control module and used for storing set furniture information, video information monitored by the furniture as a whole, temperature and humidity states around the furniture, smoke concentration, formaldehyde concentration and real-time data of early warning information through a memory;
the terminal module is connected with the central control module and used for receiving real-time data monitored by the furniture and realizing the remote control of the furniture monitoring system;
the power supply module is connected with the central control module and used for supplying power to the furniture monitoring system through the solar cell panel;
and the display module is connected with the central control module and used for displaying set furniture information, video information of overall furniture monitoring, temperature and humidity states around the furniture, smoke concentration, formaldehyde concentration and real-time data of early warning information through a display.
The invention further aims to provide an information data processing terminal for realizing the cloud service-based furniture monitoring method.
Another object of the present invention is to provide a computer-readable storage medium, comprising instructions, which when run on a computer, cause the computer to perform the cloud service-based furniture monitoring method.
In summary, the advantages and positive effects of the invention are: the temperature and practice data suitable for storing different furniture are set through the parameter setting module, and the data are stored; the temperature and humidity information of the position of the furniture is measured through the monitoring module, the surface state of the furniture is recorded through the furniture identification module, and then the information is compared with the stored information to obtain the change data of the furniture information; the intelligent furniture nursing system is displayed through a display module, or is transmitted to a mobile terminal through a ZigBee module to remind a user, so that the furniture is nursed in time; the power supply module can independently supply power for the system and can normally operate even in a power failure state. The furniture monitoring system based on the cloud service can be used together with a humidifier, a radiator, a heating device and the like, and a better furniture protection effect is achieved.
Drawings
Fig. 1 is a flowchart of a furniture monitoring method based on cloud services according to an embodiment of the present invention.
FIG. 2 is a block diagram of a furniture monitoring system based on cloud services provided by an embodiment of the invention;
in the figure: 1. a parameter setting module; 2. a furniture monitoring module; 3. a furniture positioning module; 4. a central control module; 5. a temperature and humidity monitoring module; 6. a smoke concentration monitoring module; 7. a formaldehyde monitoring module; 8. an early warning module; 9. a ZigBee communication module; 10. a data storage module; 11. a terminal module; 12. a power supply module; 13. and a display module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to solve the problems in the prior art, the invention provides a furniture monitoring system and a method based on cloud service, and the invention is described in detail with reference to the accompanying drawings.
As shown in fig. 1, a furniture monitoring method based on cloud services provided by the embodiment of the present invention includes the following steps:
s101, setting furniture information through input equipment; the furniture information includes the type and material of the furniture and the temperature endured by the furniture.
S102, integrally monitoring furniture placed in a room through a camera; the position information of the furniture is determined by the signal transmitter.
S103, controlling the normal operation of the furniture monitoring system through the central controller; monitoring the temperature and humidity state around the furniture through a temperature and humidity sensor; and detecting smoke concentration information around the furniture by using the smoke detection device.
S104, monitoring the concentration of formaldehyde around the furniture in real time through a formaldehyde detector; early warning is carried out on abnormal information around the furniture through an audible and visual alarm; and data is transmitted in a ZigBee wireless communication mode.
S105, storing set furniture information, video information monitored by the furniture as a whole, temperature and humidity states around the furniture, smoke concentration, formaldehyde concentration and real-time data of early warning information through a memory; and receiving real-time data of furniture monitoring, and realizing the remote control of the furniture monitoring system.
S106, supplying power to the furniture monitoring system through the solar panel; and displaying the set furniture information, the video information monitored by the furniture as a whole, the temperature and humidity state around the furniture, the smoke concentration, the formaldehyde concentration and the real-time data of the early warning information through the display.
As shown in fig. 2, a furniture monitoring system based on cloud service provided by an embodiment of the present invention includes: the intelligent monitoring system comprises a parameter setting module 1, a furniture monitoring module 2, a furniture positioning module 3, a central control module 4, a temperature and humidity monitoring module 5, a smoke concentration monitoring module 6, a formaldehyde monitoring module 7, an early warning module 8, a ZigBee communication module 9, a data storage module 10, a terminal module 11, a power supply module 12 and a display module 13.
The parameter setting module 1 is connected with the central control module 4 and is used for setting furniture information through input equipment; the furniture information comprises the type and material of the furniture and the temperature endured by the furniture;
the furniture monitoring module 2 is connected with the central control module 4 and is used for integrally monitoring the furniture placed indoors through the camera;
the furniture positioning module 3 is connected with the central control module 4 and used for determining the position information of the furniture through a signal transmitter;
the central control module 4 is connected with the parameter setting module 1, the furniture monitoring module 2, the furniture positioning module 3, the temperature and humidity monitoring module 5, the smoke concentration monitoring module 6, the formaldehyde monitoring module 7, the early warning module 8, the ZigBee communication module 9, the data storage module 10, the terminal module 11, the power supply module 12 and the display module 13 and is used for controlling the normal operation of each module through a central controller;
the temperature and humidity monitoring module 5 is connected with the central control module 4 and is used for monitoring the temperature and humidity state around the furniture through a temperature and humidity sensor;
the smoke concentration monitoring module 6 is connected with the central control module 4 and used for detecting smoke concentration information around furniture through a smoke detection device;
the formaldehyde monitoring module 7 is connected with the central control module 4 and is used for monitoring the formaldehyde concentration around the furniture in real time through a formaldehyde detector;
the early warning module 8 is connected with the central control module 4 and is used for early warning the abnormal information around the furniture through an audible and visual alarm;
the ZigBee communication module 9 is connected with the central control module 4 and is used for transmitting data in a ZigBee wireless communication mode;
the data storage module 10 is connected with the central control module 4 and is used for storing set furniture information, video information monitored by the furniture as a whole, temperature and humidity states around the furniture, smoke concentration, formaldehyde concentration and real-time data of early warning information through a memory;
the terminal module 11 is connected with the central control module 4 and used for receiving real-time data of furniture monitoring and realizing the remote control of the furniture monitoring system;
the power supply module 12 is connected with the central control module 4 and used for supplying power to the furniture monitoring system through a solar panel;
and the display module 13 is connected with the central control module 4 and used for displaying set furniture information, video information of overall furniture monitoring, temperature and humidity states around the furniture, smoke concentration, formaldehyde concentration and real-time data of early warning information through a display.
The invention is further described with reference to specific examples.
Example 1
As shown in fig. 1, the cloud service-based furniture monitoring method according to the embodiment of the present invention is as follows, as a preferred embodiment, a method for integrally monitoring furniture placed indoors by using a camera according to the embodiment of the present invention:
(1) starting a camera to acquire images of indoor furniture;
(2) processing the collected furniture video images, and extracting the furniture features in the target object area;
(3) acquiring depth information of a target object region by adopting a combined matching and depth correction model based on binocular vision;
(4) determining whether the furniture has an occlusion area; if the furniture is a single furniture, whether the rectangle in which the furniture is located is overlapped with other rectangles or whether other rectangles exist in a certain area range is quickly detected by adopting a geometric calculation method; if the overlapped area exists or other rectangles exist, a furniture image-based area mapping detection method is adopted to detect whether furniture exists in the overlapped area or the area between the two rectangles so as to further roughly judge whether the furniture has a shielding area.
The method for processing the acquired furniture video image and extracting the furniture features in the target object area in the step (2) provided by the embodiment of the invention comprises the following steps:
①, image preprocessing by adopting a self-adaptive wiener filtering method;
②, removing useless information in the preprocessed image by adopting a dynamic threshold layer-by-layer peeling segmentation method based on color features;
③, acquiring furniture feature information in the image by adopting a clustering segmentation algorithm based on color features and texture features, wherein the extraction of the texture features adopts a Contourlet transformation method;
④ removing the segmentation fragments in the segmented image by a denoising method based on texture features;
⑤ finally, framing all connected regions in the image by adopting a horizontal minimum external rectangle method, extracting isolated regions in the compensated images in each rectangle, and repairing holes by overlapping the isolated region images and the original images.
The method for acquiring the depth information of the target object area in the step (3) provided by the embodiment of the invention comprises the following steps: and determining the depth information of the communicated region in each minimum circumscribed rectangle by adopting a combined matching and depth correction model based on binocular vision, removing the region beyond the working depth of the picking robot, and using the depth information for subsequent processing.
Example 2
Fig. 1 shows a furniture monitoring method based on cloud services according to an embodiment of the present invention, and as a preferred embodiment, the method for determining position information of furniture by using a signal transmitter according to the embodiment of the present invention includes:
(I) each transmitter is arranged in the room and used for indicating a specific piece of furniture in the room;
(II) the wireless signal transmitted by each transmitter at least carries the furniture identification of the furniture indicated by each transmitter and the indoor position information of the indicated furniture;
and (III) matching the target furniture identifier which is currently used as the finishing target with the furniture identifier in the wireless signal transmitted by each transmitter to acquire the position information corresponding to the matched furniture identifier.
The wireless signal transmitted by each transmitter provided by the embodiment of the invention also carries the transmission time information when each transmitter transmits the wireless signal; correspondingly, the central processing unit is also used for detecting the distance between each transmitter and the central processing unit in real time according to the transmitting time information of each transmitter when transmitting the wireless signals and the receiving time information of each transmitter when receiving the wireless signals transmitted by each transmitter.
In the step (III) provided by the embodiment of the present invention, after the position information corresponding to the matched furniture identifier is obtained, the current working parameter of the intelligent furniture is updated to the target working parameter, and the target working parameter is matched with the arrangement target.
Example 3
As shown in fig. 1, the cloud service-based furniture monitoring method according to the embodiment of the present invention is a method for transmitting data in a ZigBee wireless communication manner according to the embodiment of the present invention, as a preferred embodiment, as follows:
1) the mobile terminal sends information containing a control code to a central controller;
2) the central controller carries out format processing on the received information and then transmits the information to the ZigBee wireless communication device in a wireless signal form;
3) the ZigBee wireless communication device decodes the received detection information and feeds the decoded detection information back to the baseband processor for processing;
4) and transmitting the data through a radio frequency antenna in the ZigBee wireless communication device, and transmitting the data to the mobile terminal through a mobile communication network.
The method for processing the decoded detection information by the baseband processor provided by the embodiment of the invention specifically comprises the following steps:
the baseband processor preprocessing unit reads data from a memory and provides an initial value for the random number unit;
the random number unit generates a numerical value with certain randomness from an initial value according to a preset algorithm;
the baseband processor analyzes the decoded detection information through the decoding unit, extracts and analyzes command parameters, and partial commands are matched with numerical values in the memory;
the encoding unit of the baseband processor encodes the outgoing data to generate data in a preset format;
when the baseband processor is in a coding state, the coding unit codes the external data and sends the coded corresponding data, and the CRC unit simultaneously calculates and sends a CRC coding value of the data.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A furniture monitoring method based on cloud service is characterized by comprising the following steps:
step one, setting furniture information through input equipment, wherein the furniture information comprises the type and material of furniture and the temperature endured by the furniture; carry out the overall monitoring through the furniture of camera placing indoor:
(1) starting a camera to acquire images of indoor furniture;
(2) processing the collected furniture video images, and extracting the furniture features in the target object area;
(3) acquiring depth information of a target object region by adopting a combined matching and depth correction model based on binocular vision;
(4) determining whether the furniture has an occlusion area; if the furniture is a single furniture, whether the rectangle in which the furniture is located is overlapped with other rectangles or whether other rectangles exist in a certain area range is quickly detected by adopting a geometric calculation method; if the overlapped area or other rectangles exist, detecting whether furniture exists in the overlapped area or the area between the two rectangles by adopting a furniture image-based area mapping detection method to further roughly judge whether the furniture has a shielding area;
controlling the normal operation of the furniture monitoring system through the central controller; determining position information of the furniture by a signal transmitter:
(I) each transmitter is arranged in the room and used for indicating a specific piece of furniture in the room;
(II) the wireless signal transmitted by each transmitter at least carries the furniture identification of the furniture indicated by each transmitter and the indoor position information of the indicated furniture;
(III) matching the target furniture identifier which is currently used as the finishing target with the furniture identifier in the wireless signal transmitted by each transmitter to obtain the position information corresponding to the matched furniture identifier;
thirdly, early warning is carried out on abnormal information around the furniture through an audible and visual alarm; data transmission is carried out in a ZigBee wireless communication mode:
1) the mobile terminal sends information containing a control code to a central controller;
2) the central controller carries out format processing on the received information and then transmits the information to the ZigBee wireless communication device in a wireless signal form;
3) the ZigBee wireless communication device decodes the received detection information and feeds the decoded detection information back to the baseband processor for processing;
4) transmitting through a radio frequency antenna in the ZigBee wireless communication device, and transmitting to the mobile terminal through a mobile communication network;
step four, storing the set furniture information, the video information of the overall furniture monitoring, the temperature and humidity state around the furniture, the smoke concentration, the formaldehyde concentration and the real-time data of the early warning information through a memory:
a) when a trigger instruction of a parameter setting module is detected, determining a field to be stored of the trigger instruction;
b) and when a memory sending instruction is detected, sending the detected to-be-stored field to the memory.
2. The furniture monitoring method based on the cloud service as claimed in claim 1, wherein between the second step and the third step, the following steps are required:
step I, monitoring the temperature and humidity state around the furniture through a temperature and humidity sensor;
step II, detecting smoke concentration information around the furniture through a smoke detection device;
step III, monitoring the formaldehyde concentration around the furniture in real time through a formaldehyde detector;
after the fourth step, the following steps are required:
step 1, receiving real-time data of furniture monitoring, and realizing the remote control of a furniture monitoring system;
step 2, supplying power to the furniture monitoring system through a solar cell panel;
and 3, displaying the set furniture information, the video information of the furniture overall monitoring, the temperature and humidity state around the furniture, the smoke concentration, the formaldehyde concentration and the real-time data of the early warning information through a display.
3. The furniture monitoring method based on cloud service of claim 1, wherein in step one, the collected furniture video image is processed in step (2), and the method for extracting the furniture features in the target object area comprises the following steps:
①, image preprocessing by adopting a self-adaptive wiener filtering method;
②, removing useless information in the preprocessed image by adopting a dynamic threshold layer-by-layer peeling segmentation method based on color features;
③, acquiring furniture feature information in the image by adopting a clustering segmentation algorithm based on color features and texture features, wherein the extraction of the texture features adopts a Contourlet transformation method;
④ removing the segmentation fragments in the segmented image by a denoising method based on texture features;
⑤ finally, framing all connected regions in the image by adopting a horizontal minimum external rectangle method, extracting isolated regions in the compensated images in each rectangle, and repairing holes by overlapping the isolated region images and the original images.
4. The furniture monitoring method based on cloud service as claimed in claim 1, wherein in step one, the method for obtaining depth information of the target object region in step (3) is as follows:
and determining the depth information of the communicated region in each minimum circumscribed rectangle by adopting a combined matching and depth correction model based on binocular vision, removing the region beyond the working depth of the picking robot, and using the depth information for subsequent processing.
5. The furniture monitoring method based on the cloud service as claimed in claim 1, wherein in the second step, the wireless signal transmitted by each transmitter further carries transmission time information when each transmitter transmits the wireless signal; correspondingly, the central processing unit is also used for detecting the distance between each transmitter and the central processing unit in real time according to the transmitting time information of each transmitter when transmitting the wireless signals and the receiving time information of each transmitter when receiving the wireless signals transmitted by each transmitter.
6. The furniture monitoring method based on the cloud service as claimed in claim 1, wherein in step (ii), after the location information corresponding to the matched furniture identifier is obtained, the current working parameter of the intelligent furniture is updated to the target working parameter, and the target working parameter is matched with the sorting target.
7. The furniture monitoring method based on cloud services of claim 1, wherein in step three, the method for processing the decoded detection information by the baseband processor specifically comprises:
the baseband processor preprocessing unit reads data from a memory and provides an initial value for the random number unit;
the random number unit generates a numerical value with certain randomness from an initial value according to a preset algorithm;
the baseband processor analyzes the decoded detection information through the decoding unit, extracts and analyzes command parameters, and partial commands are matched with numerical values in the memory;
the encoding unit of the baseband processor encodes the outgoing data to generate data in a preset format;
when the baseband processor is in a coding state, the coding unit codes the external data and sends the coded corresponding data, and the CRC unit simultaneously calculates and sends a CRC coding value of the data.
8. A cloud-based furniture monitoring system applying the cloud-based furniture monitoring method according to any one of claims 1 to 7, wherein the cloud-based furniture monitoring system comprises:
the parameter setting module is connected with the central control module and used for setting the furniture information through input equipment; the furniture information comprises the type and material of the furniture and the temperature endured by the furniture;
the furniture monitoring module is connected with the central control module and is used for integrally monitoring the furniture placed indoors through the camera;
the furniture positioning module is connected with the central control module and used for determining the position information of the furniture through the signal transmitter;
the central control module is connected with the parameter setting module, the furniture monitoring module, the furniture positioning module, the temperature and humidity monitoring module, the smoke concentration monitoring module, the formaldehyde monitoring module, the early warning module, the ZigBee communication module, the data storage module, the terminal module, the power supply module and the display module and is used for controlling the normal operation of each module through the central controller;
the temperature and humidity monitoring module is connected with the central control module and used for monitoring the temperature and humidity state around the furniture through a temperature and humidity sensor;
the smoke concentration monitoring module is connected with the central control module and used for detecting smoke concentration information around the furniture through the smoke detection device;
the formaldehyde monitoring module is connected with the central control module and is used for monitoring the formaldehyde concentration around the furniture in real time through a formaldehyde detector;
the early warning module is connected with the central control module and is used for early warning the abnormal information around the furniture through the audible and visual alarm;
the ZigBee communication module is connected with the central control module and is used for transmitting data in a ZigBee wireless communication mode;
the data storage module is connected with the central control module and used for storing set furniture information, video information monitored by the furniture as a whole, temperature and humidity states around the furniture, smoke concentration, formaldehyde concentration and real-time data of early warning information through a memory;
the terminal module is connected with the central control module and used for receiving real-time data monitored by the furniture and realizing the remote control of the furniture monitoring system;
the power supply module is connected with the central control module and used for supplying power to the furniture monitoring system through the solar cell panel;
and the display module is connected with the central control module and used for displaying set furniture information, video information of overall furniture monitoring, temperature and humidity states around the furniture, smoke concentration, formaldehyde concentration and real-time data of early warning information through a display.
9. An information data processing terminal for implementing the cloud service-based furniture monitoring method according to any one of claims 1 to 7.
10. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the cloud service-based furniture monitoring method of any of claims 1 to 7.
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Application publication date: 20200421 |