CN107682624B - System maintenance method and related product - Google Patents
System maintenance method and related product Download PDFInfo
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- CN107682624B CN107682624B CN201710844072.8A CN201710844072A CN107682624B CN 107682624 B CN107682624 B CN 107682624B CN 201710844072 A CN201710844072 A CN 201710844072A CN 107682624 B CN107682624 B CN 107682624B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- G06—COMPUTING; CALCULATING OR COUNTING
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- H—ELECTRICITY
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- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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Abstract
The embodiment of the invention discloses a system maintenance method and a related product, wherein the method comprises the following steps: when a target object appears in a preset area of an office, acquiring characteristic data corresponding to the target object, identifying the target object through a camera when the characteristic data accords with a preset numerical range, and sending a cleaning strategy to a mobile terminal to prompt a user to clean the target object when the target object is identified to be a specified substance. The embodiment of the invention can send the corresponding cleaning strategy to the garbage cleaning personnel in time when garbage occurs, thereby improving the garbage cleaning efficiency of the office and maintaining the environmental sanitation in the office.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to an environment maintenance method applied to offices and a related product.
Background
With the rapid development of information technology, huge changes are brought to life, for example, the appearance of the internet of things. The internet of things can be understood as follows: the communication between objects is not artificially dominant like the communication between people, and generally, the characteristic of the artificially dominant communication is that if the information is sent by mistake or missed, the dominant person can be corrected in various ways. However, in communication in the internet of things, both communication parties are objects under most conditions, and manual intervention cannot be performed, so that a higher requirement is put forward on the reliability of a wireless communication system in the communication process of the internet of things.
Although the development of internet technology brings great convenience to the life of people, more and more intelligent and convenient office facilities are pursued in the office environment. In professional and serious office environments, if garbage appears on the ground, the visual sense of workers is affected, and some garbage may also contain germs and possibly harm the physical health of the workers. For example, in an office, when garbage occurs in a certain area, a cleaning person is required to clean the garbage in time in order to maintain cleanness and sanitation of the office. Generally, cleaning personnel can only know the task of cleaning the garbage when arriving at the garbage area or being informed by others that the garbage exists in a certain area, so that the garbage cannot be cleaned in time after being generated.
Disclosure of Invention
The embodiment of the invention provides an environment maintenance method and a related product, aiming at timely and purposefully cleaning up the garbage in an office.
In a first aspect, an embodiment of the present invention provides an environment maintenance method, where the method includes:
when a target object appears in a preset area of an office, acquiring characteristic data corresponding to the target object;
when the characteristic data accords with a preset numerical range, identifying the target object through a camera;
and when the target object is identified to be the designated substance, sending a cleaning strategy to the mobile terminal to prompt a user to clean the target object.
In a second aspect, an embodiment of the present invention provides an environment maintenance apparatus, including: a target object detection module, a target object identification module and a prompt module, wherein,
the target object detection module is used for acquiring characteristic data corresponding to a target object when the target object appears in a preset area of an office;
the target object identification module is used for identifying the target object through a camera when the characteristic data accords with a preset numerical range;
and the prompting module is used for sending a cleaning strategy to the mobile terminal to prompt a user to clean the target object when the target object is identified to be the specified substance.
In a third aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium is used for storing a computer program, where the computer program is used to make a computer execute some or all of the steps described in the first aspect of the present invention.
In a fourth aspect, embodiments of the present invention provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present invention. The computer program product may be a software installation package.
The embodiment of the invention has the following beneficial effects:
it can be seen that in the embodiment of the present invention, when a target object appears in a preset area of an office, feature data corresponding to the target object is obtained, and a type of the target object in the preset area is detected, so as to preliminarily determine whether the target object exists in the preset area and a form of the target object, when the feature data conforms to a preset value range, the target object is identified by a camera, and by identifying a first image of the preset area shot by the camera, authenticity of the target object belonging to garbage and a type of a substance to which the target object belongs are determined, and when the target object is identified as a specified substance, a cleaning policy for the target object is sent to a mobile terminal to prompt a user to clean the target object, so that when garbage appears in the preset area, a cleaning policy for the type of garbage can be sent to a garbage cleaning person in time, thereby improving the garbage cleaning efficiency of the office.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a network architecture diagram of an environment maintenance system for implementing an environment maintenance method according to an embodiment of the present invention;
FIG. 1A is a flowchart illustrating an environmental maintenance method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of another environment maintenance method according to an embodiment of the present invention;
FIG. 3A is a schematic structural diagram of an environmental maintenance system according to an embodiment of the present invention;
FIG. 3B is a schematic diagram of a target object detection module of the environmental maintenance system depicted in FIG. 3A, according to an embodiment of the present invention;
FIG. 3C is a schematic diagram of another configuration of the target object detection module of the environmental maintenance system depicted in FIG. 3A, according to an embodiment of the present invention;
FIG. 3D is a schematic diagram of another configuration of the target object detection module of the environmental maintenance system depicted in FIG. 3A, according to an embodiment of the present invention;
FIG. 3E is a schematic structural diagram of a prompt module of the environment maintenance system depicted in FIG. 3A according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a controller according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The Mobile terminal according to the embodiment of the present invention may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like, which have wireless communication functions. For convenience of description, the above-mentioned devices are collectively referred to as a mobile terminal.
The terminal described in the embodiment of the present invention may be carried by an office employee, and certainly, the terminal may also refer to a terminal installed with an Internet of things sensor, for example, the terminal may include a smart Phone (such as an Android Phone, an iOS Phone, a Windows Phone, and the like), a tablet computer, a palmtop computer, a notebook computer, a Mobile Internet device (MID, Mobile Internet Devices), or a wearable device, and the like, and certainly, the terminal may also include other Devices with a networking function, such as a smart television, a smart air conditioner, a smart water bottle, a smart lamp, a smart switch, or some smart Devices of an Internet of things. The above terminals are only examples, not exhaustive, and include but are not limited to the above terminals. The sensor involved in the embodiment of the present invention may be a temperature sensor, a distance sensor, a humidity sensor, a camera, a smoke sensor, an infrared sensor, and the like.
In order to better understand the technical solution of the present invention, a network architecture of the environment maintenance system to which the environment maintenance method is applied, which is provided in the embodiment of the present invention, is briefly introduced below. As shown in fig. 1, fig. 1 is a diagram of the network architecture, wherein it includes: the controller, the plurality of offices and each office comprise at least one sensor, wherein the sensors can be distributed in different offices, as shown in fig. 1, the controller controls an office 1 and an office 2, the office 1 comprises a sensor a and a sensor B, and the office 2 comprises a sensor C and a sensor D. Based on the network architecture described in fig. 1, the following environment maintenance method applied to the office is mainly performed: when a target object appears in a preset area of an office, acquiring characteristic data corresponding to the target object; when the characteristic data accords with a preset numerical range, identifying the target object through a camera; and when the target object is identified to be the designated substance, sending a cleaning strategy to the mobile terminal to prompt a user to clean the target object. The controller may include, but is not limited to: servers, control platforms, monitoring centers, and the like. The camera may include, but is not limited to: infrared cameras, visible light cameras, dual cameras, and the like. The office 1 and the office 2 are collectively referred to as an office area, and certainly, the office area may include other offices, so that the office area may be monitored in all directions, and of course, the office area may refer to an office area of a company, an office area of an office building, or an office area of other places, such as a mall, a supermarket, an airport, a museum, a school, and the like.
Referring to fig. 1A based on the network architecture diagram described in fig. 1, fig. 1A is a schematic flowchart of an embodiment of an environment maintenance method according to an embodiment of the present invention. The environment maintenance method described in this embodiment includes the following steps:
101. when a target object appears in a preset area of an office, acquiring characteristic data corresponding to the target object.
At least one preset area can be selected in an office, a sensor can be arranged in the preset area, the sensor can convert sensed measured information into an electric signal or information in other required forms according to a certain rule and output the electric signal or the information, and therefore when a target object appears in the preset area, the sensor can acquire characteristic data corresponding to the target object. Wherein the sensor may comprise a plurality of types of sensors for detecting a plurality of feature data of the target objects of different morphologies.
Alternatively, the predetermined area may be a free area on the floor of an office where office facilities and office supplies are not located, such as an office area walkway. The predetermined area may also be a certain area of the platform, such as a table top, that needs to be kept sanitary and clean.
Optionally, in the step 101, acquiring feature data corresponding to the target object may include the following steps:
a1, acquiring characteristic signals of the target object through a sensor;
a2, converting the characteristic signals into corresponding characteristic data; the characteristic data is at least one of the following: a weight of the target object, a volume of the target object, a temperature of the target object, a humidity of the target object, and a morphology of the target object.
Alternatively, after step a1 is executed, that is, after the sensor senses the characteristic signal of the target object, the target object may be only the characteristic signal generated by the pedestrian passing or the object rolling, so that, after the preset time T is set, step a1 is repeatedly executed, and when the sensor senses the characteristic signal of the target object again, it is confirmed that the target object stays in the preset area, and then step a2 is continuously executed.
Optionally, the form of the target object may include solid and liquid, and for the target object in solid form, a plurality of sensors for detecting the characteristics of the target object in solid form may be disposed in a preset area of the office, and specifically, the sensors may include a weight sensor, a volume sensor, and the like; for the liquid type target object, a plurality of sensors for detecting characteristics of the liquid type target object may be disposed in a preset area of the office, and specifically, the sensors may include a temperature sensor, a humidity sensor, a form sensor, and the like, which is not described herein again. Through the sensor of above-mentioned different grade type, the different characteristic data of detectable target object, it is specific, accessible weight sensor detects the weight of target object, the volume of accessible volume sensor detection target object, the temperature of accessible temperature sensor detection target object, the humidity of accessible humidity transducer detection target object to and the form of accessible form sensor detection target object.
The characteristic signal in step a1 is an electrical signal converted from a physical quantity signal of the target object sensed by the sensor.
102. And when the characteristic data accords with a preset numerical range, identifying the target object through a camera.
Optionally, before the target object is identified by the camera, the feature data obtained in step 101 may be compared with a preset value, and whether the feature data of the target object meets a preset value range is determined. The preset value range can be set by the user or defaulted by the system. Specifically, when the weight G of the target object meets a predetermined numerical range [ G ]1，G2]And/or the volume V of the target object conforms to a preset range of values V1，V2]Executing the step of identifying the target object by the camera, or when the temperature T of the target object is more than a preset value T0The humidity H of the target object is greater than a preset value H0And executing the step of identifying the target object by the camera.
The camera can be controlled to shoot the target object, a first image of the target object is obtained, image recognition is carried out on the first image, specifically, the first image can be compared with a reference image in an image library, whether the target object belongs to a substance corresponding to the reference image or not is judged according to a matching result, and when the target object belongs to the substance corresponding to the reference image, the target object is determined to be the specified substance.
Optionally, in an embodiment of the present invention, one or more cameras may be included, and the cameras are installed at a high place of an office through a cradle head, an angle of the cameras is adjusted by controlling rotation of the cradle head, so that a shooting angle of the cameras reaches an angle capable of shooting a target object, and a plurality of first images of different angles for the target object may be shot through the plurality of cameras installed at different positions in the office, so that when the first images are compared with reference images in an image library, corresponding reference images can be matched more quickly.
Optionally, in step 102, identifying the target object by using a camera may include the following steps:
21. acquiring a first image of the target object through a camera, and amplifying the first image to obtain an amplified image;
22. carrying out image segmentation on the amplified image to obtain a contour image aiming at the target object;
23. comparing the contour image with a reference image in an image library to obtain a plurality of matching values;
24. and selecting a maximum matching value from the plurality of matching values, and judging whether the target object is a specified substance according to the maximum matching value.
In the embodiment of the present invention, because the position of the camera is higher, in the first image shot by the camera, if the size of the whole first image occupied by the target object is smaller than the preset size, the first image can be amplified, so that the size of the target object in the first image conforms to the preset size, wherein the preset size can be set by a user or default by a system.
In step 22, the enlarged image is subjected to image segmentation, and the specific implementation manner is as follows: and dividing the amplified image into a foreground part of the target object and a background part except the target object to obtain a contour image of the target object. In the process of performing step 22, the magnified image is typically a color image, and the magnified image may be converted into a grayscale image before the grayscale image is segmented.
Optionally, in order to determine whether the target object belongs to the substance corresponding to the reference image, different types of spam reference images commonly found in an office environment may be captured, and the captured reference images are named according to the substance corresponding to the captured reference images and stored in the image library for performing the comparison operation of step 23. For example, the reference images may include cartons, broken glass, paper, plastic bags, tea, etc. according to their corresponding names, and will not be described herein again. Optionally, in addition to naming the reference images according to their corresponding substances, the reference images may also be numbered according to their corresponding substances.
Alternatively, a reference image of a target object may include images of multiple angles of the target object, such as a front image, a side image, and a top view image, and may further include an image of the target object after compression or folding deformation for a solid type target object, so that the photographed target objects of different angles and the target object with a changed form can be identified.
In step 24, it is determined whether the target object is a specified substance according to the maximum matching value, specifically, when the maximum matching value exceeds a preset threshold, it is determined that the target object belongs to a substance corresponding to the reference image, and according to the type of the specified substance to which the substance corresponding to the reference image belongs, the target object is determined to be the specified substance. Wherein the preset threshold value can be set by the user or the default of the system.
103. And when the target object is identified to be the designated substance, sending a cleaning strategy to the mobile terminal to prompt a user to clean the target object.
Optionally, the specified substances in the embodiment of the present invention may be collectively referred to as garbage, specifically, after the target object is identified as a substance corresponding to a certain reference image according to step 102, the target object is determined to be garbage, and then a cleaning policy corresponding to the substance is sent to the mobile terminal, where the content of the cleaning policy may include that the target object is determined to be garbage, and a substance name or a number corresponding to the reference image corresponding to the target object.
Alternatively, the specific substance in the embodiment of the present invention may be classified into different types according to a certain classification standard, where the classification standard may be to classify the reference image into solid and liquid types based on the form of the target object, specifically, the solid substance may further include a powdery solid substance, a granular solid substance, a flake solid substance, and a block solid substance, and the liquid substance may include a viscous liquid and a non-viscous liquid; classification can also be performed according to the criteria of garbage classification so as to set a targeted cleaning strategy for different types of target objects, for example, one classification can be: kitchen waste types, recyclable waste types, toxic and harmful waste types, and the like.
Optionally, in step 103, sending the cleaning policy to the mobile terminal may include the following steps:
31. acquiring the material type of the target object, and determining a cleaning strategy corresponding to the material type;
32. and sending the cleaning strategy to the mobile terminal.
The cleaning strategy in step 31 is a preset cleaning strategy, and according to the type of the specified substance to which the target object identified in step 102 belongs, a cleaning strategy corresponding to the type of the specified substance can be determined. Specifically, for a given substance of the same type, a cleaning strategy may be preset, for example, for a block-shaped solid substance, the cleaning strategy may include a content of cleaning with a broom, for a powder-shaped solid substance, the cleaning strategy may include a content of wiping a preset area with a wet mop, and so on, which will not be described herein again.
For example, when the substance corresponding to the reference image to which the target object belongs to tea, and it is determined that the target object belongs to non-viscous liquid, the cleaning strategy sent to the mobile terminal may include content of wiping the preset area by using a mop.
It can be seen that in the embodiment of the present invention, when a target object appears in a preset area of an office, feature data corresponding to the target object is obtained, and a type of the target object in the preset area is detected, so as to preliminarily determine whether the target object exists in the preset area and a form of the target object, when the feature data conforms to a preset value range, the target object is identified by a camera, and by identifying a first image of the preset area shot by the camera, authenticity of the target object belonging to garbage and a type of a substance to which the target object belongs are determined, and when the target object is identified as a specified substance, a cleaning policy for the target object is sent to a mobile terminal to prompt a user to clean the target object, so that when garbage appears in the preset area, a cleaning policy for the type of garbage can be sent to a garbage cleaning person in time, thereby improving the garbage cleaning efficiency of the office.
In accordance with the above, please refer to fig. 2, wherein fig. 2 is a flowchart illustrating another environment maintenance method according to an embodiment of the present invention. The environment maintenance method described in this embodiment includes the following steps:
201. when a target object appears in a preset area of an office, acquiring characteristic data corresponding to the target object.
Optionally, the obtaining of the feature data corresponding to the target object may include:
b1, acquiring characteristic signals of the target object through a sensor;
b2, converting the characteristic signals into corresponding characteristic data; wherein the characteristic data is at least one of: a weight of the target object, a volume of the target object, a temperature of the target object, a humidity of the target object, and a morphology of the target object.
In the embodiment of the present invention, the target object may include toxic microorganisms in addition to the macroscopic solid type material or the macroscopic liquid type material, so that the target object may be detected by the toxic microorganisms, and the characteristic data in step 201 may include the concentration of the bacteria.
Optionally, in step 201, the obtaining of the feature data corresponding to the target object may include the following steps:
b1, collecting a microorganism sample of the target object to obtain microorganism sample data;
b2, performing component analysis on the microorganism sample data to obtain component information of the microorganism sample;
b3, determining the bacterial concentration according to the component information, taking the bacterial concentration as characteristic data, and executing the step of identifying the target object through the camera when the characteristic data accords with a preset numerical range.
In step B1, a microbial sample may be acquired from the target object by using a microbial sensor in a preset area in the office, so as to obtain microbial sample data.
Wherein the preset value range can be automatically set by a userBy row setting or system default, the concentration C of at least one bacterium in the microbiological sample can be determined by step B3, when C is greater than a predetermined value C0Then, it is determined that the target object contains the bacteria at a concentration that meets the harmful standard, and then step 202 is performed.
202. And when the characteristic data accords with a preset numerical range, identifying the target object through a camera.
The camera can be controlled to shoot the target object, a first image of the target object is obtained, image recognition is carried out on the first image, specifically, the first image can be compared with a reference image in an image library, whether the target object belongs to a substance corresponding to the reference image or not is judged according to a matching result, and when the target object belongs to the substance corresponding to the reference image, the target object is determined to be the specified substance.
203. And acquiring the material type of the specified material, and determining a cleaning strategy corresponding to the material type.
The cleaning strategy in step 203 is a preset cleaning strategy, and according to the type of the specified substance to which the target object identified in step 202 belongs, a cleaning strategy corresponding to the type of the specified substance can be determined. Specifically, according to the result of the microorganism detection on the target object in step 201, when it is determined that the target object contains the bacteria and the concentration of the bacteria reaches the harmful standard, the transmitted cleaning strategy may include the contents of sterilization and disinfection.
204. And sending the cleaning strategy to the mobile terminal.
Optionally, the manner of sending the cleaning policy to the mobile terminal may include: sending a short message containing a cleaning strategy to the mobile terminal; establishing communication connection with mobile phone software (APP) capable of receiving messages in the mobile terminal, for example, sending a WeChat message containing a cleaning strategy to a WeChat login account of the mobile terminal by means of establishing a WeChat public number, or sending a QQ message containing the cleaning strategy to a QQ login account of the mobile terminal by means of establishing a QQ service number.
It can be seen that, in the embodiment of the present invention, when a target object appears in a preset area of an office, feature data corresponding to the target object is obtained, and by detecting a type of the target object in the preset area, it is preliminarily determined whether the target object, a form of the target object, and bacteria exist in the preset area, and when the feature data conforms to a preset numerical range, the target object is identified by a camera, and by identifying a first image of the preset area shot by the camera, authenticity of the target object belonging to garbage and a kind of a substance to which the target object belongs are determined, and when the target object is identified as a specified substance, a cleaning policy for the target object is sent to a mobile terminal to prompt a user to clean the target object and sterilize the target object, so when the preset area has garbage, the garbage cleaning strategy can be sent to garbage cleaning personnel in time, so that the garbage cleaning efficiency of an office is improved, and the environmental sanitation in the office is maintained.
Fig. 3A is a schematic structural diagram of an environmental maintenance apparatus according to an embodiment of the present invention. The environment maintenance apparatus described in this embodiment may include: a target object detection module 301, a target object identification module 302, and a cueing module 303, wherein,
the target object detection module 301 is configured to, when a target object appears in a preset area of an office, acquire feature data corresponding to the target object.
The target object identification module 302 is configured to identify the target object through a camera when the feature data conforms to a preset numerical range.
The prompting module 303 is configured to send a cleaning policy to the mobile terminal to prompt the user to clean the target object when the target object is identified as the specified substance.
Alternatively, as shown in fig. 3B, fig. 3B is a detailed structure of the target object detection module 301 of the environment maintenance system described in fig. 3A, where the target object detection module 301 may include: the target object sensing module 3011 and the first data processing module 3012 are as follows:
the target object sensing module 3011 is configured to obtain a characteristic signal of the target object by a sensor;
the first data processing module 3012 is configured to convert the feature signal into corresponding feature data; wherein the characteristic data is at least one of the following: a weight of the target object, a volume of the target object, a temperature of the target object, a humidity of the target object, and a morphology of the target object.
Alternatively, as shown in fig. 3C, fig. 3C is another specific detailed structure of the target object detection module 301 of the environmental maintenance apparatus depicted in fig. 3A, and the target object detection module 301 may include: the target object sensing module 3013 and the first data processing module 3014 are as follows:
a microorganism sample collection module 3013, configured to perform microorganism sample collection on the target object to obtain microorganism sample data;
the second data processing module 3014, perform component analysis on the microorganism sample data to obtain component information of the microorganism sample data; and determining the bacterial concentration according to the component information, taking the bacterial concentration as characteristic data, and executing the step of identifying the target object through the camera when the characteristic data accords with a preset numerical range.
Alternatively, as shown in fig. 3D, fig. 3D is a detailed structure of the target object identification module 302 of the environment maintenance apparatus depicted in fig. 3A, where the target object identification module 302 may include: the amplifying module 3021, the dividing module 3022, the comparing module 3023, and the determining module 3024 are as follows:
the amplifying module 3021, configured to acquire a first image of the target object through a camera, and amplify the first image to obtain an amplified image;
a segmentation module 3022, configured to convert the enlarged image and perform image segmentation to obtain a contour image of the target object;
a comparison module 3023, configured to compare the contour image with images in an image library to obtain a plurality of matching values;
a judging module 3024, configured to select a maximum matching value from the multiple matching values, and judge whether the target object is a specified substance according to the maximum matching value.
Optionally, as shown in fig. 3E, fig. 3E is a detailed structure of the prompting module 303 of the environment maintenance apparatus depicted in fig. 3A, where the prompting module 303 may include: the third data processing module 3031 and the sending module 3032 are as follows:
a third data processing module 3031, configured to obtain a substance type of the specified substance, and determine a cleaning strategy corresponding to the substance type;
a sending module 3032, configured to send the cleaning policy to the mobile terminal.
It can be seen that, in the environment maintenance device described in the embodiment of the present invention, when a target object appears in a preset area of an office, feature data corresponding to the target object is obtained, and a type of the target object in the preset area is detected, so as to preliminarily determine whether the target object and a form of the target object exist in the preset area, when the feature data conforms to a preset value range, the target object is identified by a camera, and by identifying a first image of the preset area captured by the camera, authenticity of the target object belonging to garbage and a type of a substance to which the target object belongs are determined, and when the target object is identified as a specific substance, a cleaning policy for the target object is sent to a mobile terminal to prompt a user to clean the target object, so that when the garbage appears in the preset area, a cleaning policy for the type of garbage can be sent to a garbage cleaner in time, thereby improving the garbage cleaning efficiency of the office.
It should be noted that the environment maintenance device described in the embodiment of the device of the present invention is in the form of a functional unit. The term "unit" as used herein is to be understood in its broadest possible sense, and objects used to implement the functions described by the respective "unit" may be, for example, an integrated circuit ASIC, a single circuit, a processor (shared, dedicated, or chipset) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that provide the described functionality.
For example, the target object detection module 301 may be implemented by the controller shown in fig. 4, and specifically, the processor 403 may obtain the feature data corresponding to the target object when the target object appears in the preset area of the office by calling the executable program code in the memory 404.
Referring to fig. 4, a schematic structural diagram of a controller shown in fig. 4 includes at least one sensor 401, a camera 402, a processor 403, and a memory 404, where the sensor 401, the camera 402, the processor 403, and the memory 404 are connected by a bus 405.
The sensor 401 is configured to convert the sensed measured information into an electrical signal or other information in a required form according to a certain rule, and output the electrical signal or the information in the required form. Optionally, the environment maintenance system provided by the present invention may include a weight sensor, a volume sensor, a temperature sensor, a humidity sensor, a morphology sensor, a microorganism sensor, and other sensors to detect the target object, the weight of the target object may be detected by the weight sensor, the volume of the target object may be detected by the volume sensor, the temperature of the target object may be detected by the temperature sensor, the humidity of the target object may be detected by the humidity sensor, the morphology of the target object may be detected by the morphology sensor, and whether the target object contains bacteria may be detected by the microorganism sensor, which is not described herein again.
Therein, the camera 402 is used to capture a first image of the target object in the method shown in fig. 1A and 2. Optionally, the camera may also be used to capture a reference image for comparison with the first image.
The processor 403 is configured to perform all or part of the operations shown in fig. 1A and fig. 2, and specifically configured to:
when a target object appears in a preset area of an office, acquiring characteristic data corresponding to the target object;
when the characteristic data accords with a preset numerical range, identifying the target object through a camera;
and when the target object is identified to be the designated substance, sending a cleaning strategy to the mobile terminal to prompt a user to clean the target object.
The bus 405 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (2)
1. An environmental maintenance method, comprising:
when a target object appears in a preset area of an office, acquiring a characteristic signal of the target object through at least one sensor, wherein the office comprises at least one preset area;
after the preset time threshold value, if the characteristic signal of the target object is obtained through the sensor again, converting the characteristic signal into corresponding characteristic data, wherein the characteristic data is at least one of the following data: a weight of the target object, a volume of the target object, a temperature of the target object, a humidity of the target object, and a morphology of the target object;
collecting a microorganism sample of the target object to obtain microorganism sample data;
performing component analysis on the microorganism sample data to obtain component information of the microorganism sample;
determining the bacterial concentration according to the component information, and taking the bacterial concentration as the characteristic data;
when the characteristic data accord with a preset numerical range, acquiring a first image of the target object through a camera, and amplifying the first image to obtain an amplified image;
carrying out image segmentation on the amplified image to obtain a contour image aiming at the target object;
comparing the contour image with a reference image in an image library to obtain a plurality of matching values;
selecting a maximum matching value from the multiple matching values, and judging whether the target object is a specified substance according to the maximum matching value;
wherein the reference image of the target object comprises images of the target object at multiple angles, and images of the target object after compression or folding deformation;
when the target object is identified to be a specified substance, acquiring the substance type of the target object, determining a cleaning strategy corresponding to the substance type, and sending the cleaning strategy to a mobile terminal to prompt a user to clean the target object, wherein one cleaning strategy is preset for the specified substance of the same type, the content of the cleaning strategy comprises the substance name or number corresponding to a reference image corresponding to the target object and the target object is determined to be garbage, and when the target object is determined to contain bacteria and the concentration of the bacteria reaches a harmful standard, the cleaning strategy also comprises the content of sterilization and disinfection;
the manner of sending the cleaning policy to the mobile terminal includes: and sending a short message containing the cleaning strategy to the mobile terminal, or establishing a communication link with a communication application program capable of receiving the message in the mobile terminal, and sending a communication message containing the cleaning strategy to the communication application program.
2. An environmental maintenance device, the device comprising: a target object detection module, a target object identification module and a prompt module, wherein,
the target object detection module is used for acquiring feature data corresponding to a target object when the target object appears in a preset area of an office, wherein the office comprises at least one preset area;
the target object detection module includes:
the target object induction module is used for acquiring the characteristic signal of the target object by using at least one sensor, and acquiring the characteristic signal of the target object again through the sensor after a preset time threshold value;
the first data processing module is used for converting the characteristic signal into corresponding characteristic data when the sensor acquires the characteristic signal of the target object again, wherein the characteristic data is at least one of the following data: a weight of the target object, a volume of the target object, a temperature of the target object, a humidity of the target object, and a morphology of the target object;
the microorganism sample acquisition module is used for acquiring a microorganism sample of the target object to obtain microorganism sample data;
the second data processing module is used for carrying out component analysis on the microorganism sample data to obtain component information of the microorganism sample data; determining the concentration of bacteria according to the component information, taking the concentration of bacteria as characteristic data, and executing the step of identifying the target object through the camera when the characteristic data accords with a preset numerical range;
the target object identification module is used for identifying the target object through a camera when the characteristic data accords with a preset numerical range;
the target object identification module includes: an amplifying module, a dividing module, a comparing module and a judging module, wherein,
the amplifying module is used for acquiring a first image of the target object through a camera and amplifying the first image to obtain an amplified image;
the segmentation module is used for converting the amplified image to carry out image segmentation to obtain a contour image aiming at the target object;
the comparison module is used for comparing the outline image with images in an image library to obtain a plurality of matching values;
the judging module is used for selecting the maximum matching value from the matching values and judging whether the substance corresponding to the corresponding image is the specified substance;
the prompting module is used for sending a cleaning strategy to the mobile terminal to prompt a user to clean the target object when the target object is identified to be the specified substance;
the prompting module comprises:
a third data processing module, configured to obtain a substance type of the specified substance, and determine a cleaning policy corresponding to the substance type, where one cleaning policy is preset for the specified substance of the same type, and the content of the cleaning policy includes a substance name or a number corresponding to a reference image corresponding to the target object, where the cleaning policy further includes a content for performing sterilization and disinfection when it is determined that the target object contains bacteria and the concentration of the bacteria reaches a harmful standard;
a sending module, configured to send the cleaning policy to the mobile terminal, where the manner of sending the cleaning policy to the mobile terminal includes: and sending a short message containing the cleaning strategy to the mobile terminal, or establishing a communication link with a communication application program capable of receiving the message in the mobile terminal, and sending a communication message containing the cleaning strategy to the communication application program.
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| CN101951332A (en) * | 2010-08-31 | 2011-01-19 | 中山大学 | Digital home cleaning method and system |
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