CN107844884B - Early warning information processing method and network equipment - Google Patents
Early warning information processing method and network equipment Download PDFInfo
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- CN107844884B CN107844884B CN201710785373.8A CN201710785373A CN107844884B CN 107844884 B CN107844884 B CN 107844884B CN 201710785373 A CN201710785373 A CN 201710785373A CN 107844884 B CN107844884 B CN 107844884B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
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- Y02W30/82—Recycling of waste of electrical or electronic equipment [WEEE]
Abstract
The embodiment of the invention discloses an early warning information processing method and network equipment, wherein the early warning information processing method comprises the following steps: the method comprises the steps that network equipment receives early warning information sent by K intelligent garbage cans, wherein the early warning information is used for indicating an early warning range to which the residual capacity of the intelligent garbage cans belongs, and K is a natural number larger than or equal to 1; the network equipment determines the cleaning priority of the K intelligent garbage cans according to the early warning range of the residual capacity of each intelligent garbage can in the K intelligent garbage cans; and the network equipment sends the cleaning priority of the K intelligent garbage cans to user equipment. By adopting the embodiment of the invention, the garbage cleaning efficiency can be improved, and the human resources can be saved.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an early warning information processing method and network equipment.
Background
Outdoor garbage cans are important public facilities, the number of the garbage cans is large, the garbage cans are widely distributed, and cleaning personnel need to recycle the garbage of the garbage cans for many times every day. For some areas with large pedestrian volume, the garbage can cannot be cleaned in time after being full, the garbage overflow can influence public environmental sanitation and city appearance, and for the areas with small pedestrian volume, the garbage can is not full and is cleaned for many times, so that the waste of human resources is caused.
Disclosure of Invention
The embodiment of the invention provides an early warning information processing method and network equipment, which can improve garbage cleaning efficiency and save human resources.
In a first aspect, an embodiment of the present invention provides an early warning information processing method, including:
the method comprises the steps that network equipment receives early warning information sent by K intelligent garbage cans, wherein the early warning information is used for indicating an early warning range to which the residual capacity of the intelligent garbage cans belongs, and K is a natural number larger than or equal to 1;
the network equipment determines the cleaning priority of the K intelligent garbage cans according to the early warning range of the residual capacity of each intelligent garbage can in the K intelligent garbage cans;
and the network equipment sends the cleaning priority of the K intelligent garbage cans to user equipment.
In one possible design, the method further includes:
the network equipment detects whether the confirmation information fed back by the user equipment is received;
if the confirmation information fed back by the user equipment is not received, the network equipment circularly sends the cleaning priorities of the K intelligent garbage cans to the user equipment until the confirmation information fed back by the user equipment is received.
In one possible design, one of the warning ranges corresponds to one cleaning priority, and the smaller the warning range, the higher the cleaning priority.
In a possible design, the warning information includes an identifier of the intelligent trash can, and after determining the cleaning priorities of the K intelligent trash cans, the method further includes:
the network equipment acquires a preset list, wherein the preset list comprises a corresponding relation between an identification of an intelligent garbage can and a geographical area where the intelligent garbage can is located;
the network equipment inquires a geographical area corresponding to the identifier of each intelligent garbage can in the identifiers of the K intelligent garbage cans from the preset list to obtain M geographical areas corresponding to the identifiers of the K intelligent garbage cans, wherein one geographical area corresponds to the identifier of at least one intelligent garbage can, and M is a natural number greater than or equal to 1;
for each geographic area, the network equipment acquires the cleaning priority of each intelligent garbage can in at least one intelligent garbage can corresponding to the geographic area, and counts the number of the intelligent garbage cans corresponding to each cleaning priority;
the network equipment acquires the priority sequence of the M geographic areas according to the number of intelligent garbage cans corresponding to each cleaning priority of each geographic area in the M geographic areas;
the network equipment will K intelligent garbage bin's clearance priority sends user equipment, includes:
and the network equipment sends the priority sequence of the M geographic areas and the cleaning priority of at least one intelligent garbage can corresponding to the geographic areas to user equipment.
In one possible design, before the network device sends the priority order of the M geographic areas and the cleaning priority of the at least one intelligent trash can corresponding to the geographic areas to the user device, the method further includes:
the network equipment broadcasts a position information acquisition request to all user equipment so that the user equipment reports the geographical position of the user equipment according to the position information acquisition request;
the network equipment receives the geographical position information reported by all the user equipment;
the network equipment determines C geographic areas corresponding to all the user equipment according to the geographic position information reported by all the user equipment, wherein C is a natural number greater than or equal to 1;
the network equipment determines user equipment corresponding to each geographic area in the M geographic areas according to the C geographic areas and the M geographic areas;
the network equipment sends the priority order of the M geographic areas and the cleaning priority of at least one intelligent garbage can corresponding to the geographic areas to user equipment, and the method comprises the following steps:
and the network equipment sends the priority order of the M geographic areas and the cleaning priority of at least one intelligent garbage can corresponding to the geographic areas to the user equipment corresponding to the geographic areas.
In a second aspect, an embodiment of the present invention provides a network device, including:
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving early warning information sent by K intelligent garbage cans, the early warning information is used for indicating an early warning range to which the residual capacity of the intelligent garbage cans belongs, and K is a natural number greater than or equal to 1;
the processing unit is used for determining the cleaning priority of the K intelligent garbage cans according to the early warning range to which the residual capacity of each intelligent garbage can belongs;
and the sending unit is used for sending the cleaning priority of the K intelligent garbage cans to the user equipment.
In one possible design, the processing unit is further configured to detect whether acknowledgement information fed back by the user equipment is received;
the sending unit is further configured to send the cleaning priorities of the K intelligent trash cans to the user equipment in a cycle until receiving the acknowledgement information fed back by the user equipment if the acknowledgement information fed back by the user equipment is not received.
In one possible design, one of the warning ranges corresponds to one cleaning priority, and the smaller the warning range, the higher the cleaning priority.
In one possible design, the early warning information includes an identifier of the intelligent trash can;
the processing unit is further used for acquiring a preset list, wherein the preset list comprises the corresponding relation between the identification of the intelligent garbage can and the geographic area where the intelligent garbage can is located;
the processing unit is further configured to query, from the preset list, a geographic area corresponding to an identifier of each of the K intelligent trash cans, to obtain M geographic areas corresponding to the identifiers of the K intelligent trash cans, where one geographic area corresponds to an identifier of at least one intelligent trash can, and M is a natural number greater than or equal to 1;
the processing unit is further configured to, for each geographic area, obtain a cleaning priority of each intelligent trash can in at least one intelligent trash can corresponding to the geographic area, and count the number of intelligent trash cans corresponding to each cleaning priority;
the processing unit is further configured to obtain a priority order of the M geographic areas according to the number of intelligent trash cans corresponding to each cleaning priority of each geographic area in the M geographic areas;
the sending unit is specifically configured to send the priority order of the M geographic areas and the cleaning priority of the at least one intelligent trash can corresponding to the geographic area to user equipment.
In a possible design, the sending unit is further configured to broadcast a location information acquisition request to all user equipments, so that the user equipments report the geographic location of the user equipments according to the location information acquisition request;
the receiving unit is further configured to receive geographic location information reported by all the user equipments;
the processing unit is further configured to determine C geographic areas corresponding to all the user equipments according to the geographic location information reported by all the user equipments, where C is a natural number greater than or equal to 1;
the processing unit is further configured to determine, according to the C geographic areas and the M geographic areas, a user equipment corresponding to each of the M geographic areas;
the sending unit is specifically configured to send the priority order of the M geographic areas and the cleaning priority of the at least one intelligent trash can corresponding to the geographic area to the user equipment corresponding to the geographic area.
In a third aspect, an embodiment of the present invention provides a network device, where the network device includes a transceiver, a processor, and a memory, where the transceiver is configured to send and receive signals, the memory is configured to store computer program instructions, and the processor is configured to execute the computer program instructions stored in the memory to implement the warning information processing method according to the first aspect.
In the embodiment of the invention, the network equipment receives the early warning information sent by the K intelligent garbage cans, the early warning information is used for indicating the early warning range of the residual capacity of the intelligent garbage cans, and the network equipment determines the cleaning priority of the K intelligent garbage cans according to the early warning information of each intelligent garbage can in the K intelligent garbage cans, so that the situation that no person cleans the intelligent garbage cans all the time when the garbage amount of the intelligent garbage cans is large and the intelligent garbage cans clean the intelligent garbage cans repeatedly when the garbage amount of the intelligent garbage cans is small can be avoided, the garbage cleaning efficiency is improved, and the human resources are saved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a system architecture diagram of an early warning information processing method according to the present invention;
FIG. 2 is a flowchart of an early warning information processing method according to the present invention;
FIG. 3 is a schematic structural diagram of a network device provided in the present invention;
fig. 4 is a schematic structural diagram of another network device provided by the present invention.
Detailed Description
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 some, not all, embodiments of the present invention. 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 in the claims, and in the drawings, are used for distinguishing between different objects and not necessarily for describing a particular sequential 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 method for processing warning information and the network device provided by the embodiment of the invention will be described in detail with reference to fig. 1 to 4.
Referring to fig. 1, a network architecture diagram of an early warning information processing method according to the present invention is shown, where the network architecture according to the embodiment of the present invention includes: it should be noted that, in fig. 1, only 4 intelligent trashcans and 3 User equipments are used as examples, which are not limited to the embodiment of the present invention, and the number of the intelligent trashcans in the embodiment of the present invention may be any number, and the number of the User equipments in the embodiment of the present invention may be any number.
Each intelligent trash can of the at least one intelligent trash can establishes a network connection with a network device, and each user device of the at least one user device establishes a network connection with a network device. The at least one intelligent garbage can be arranged at each position of a public place, the user equipment can be handheld equipment of cleaning personnel, and when the cleaning personnel are required to clean garbage in the intelligent garbage can, prompt information is sent to the user equipment of the cleaning personnel.
The intelligent garbage can monitor the residual capacity in the intelligent garbage can in real time, judge the early warning range to which the residual capacity belongs, preset a plurality of early warning ranges, store the plurality of early warning ranges in each intelligent garbage can, and judge the early warning range to which the residual capacity of the intelligent garbage can belongs. The intelligent garbage can sends the early warning range of the residual capacity to the network equipment, so that the network equipment can conveniently decide the cleaning priority of each intelligent garbage can and inform the user equipment, and cleaning personnel can determine the cleaning sequence according to the cleaning priority.
In the present application, the user equipment may include, but is not limited to, a mobile phone, a mobile computer, a tablet computer, a Personal Digital Assistant (PDA), a media player, a smart television, a smart watch, smart glasses, a smart band, and other terminals or devices.
Fig. 2 is an interaction flow diagram of an early warning information processing method according to an embodiment of the present invention. The method described in this embodiment includes, but is not limited to, the following steps:
s10, the intelligent garbage can sends early warning information to network equipment, and the early warning information is used for indicating an early warning range to which the residual capacity of the intelligent garbage can belongs;
the intelligent garbage can provided by the embodiment of the invention can be any one intelligent garbage can arranged in a public place, and the intelligent garbage can detect the residual capacity of the intelligent garbage can through a sensor. Further optionally, the intelligent garbage can stores a plurality of preset early warning ranges, and after the intelligent garbage can detects the residual capacity, the early warning range to which the residual capacity belongs can be judged. For example, the intelligent garbage can detects that the residual capacity is 1/10 of the total capacity, and if the preset warning ranges are 0-1/5, 1/5-2/5 and 2/5-3/5 respectively, the warning range to which the residual capacity belongs is 0-1/5.
The intelligent trash can sends early warning information to the network device, the early warning information includes an early warning range to which the remaining capacity of the intelligent trash can belongs, for example, the above example is continued to be described, the early warning range included in the early warning information is 0-1/5, optionally, the early warning information further includes an identifier of the intelligent trash can, and each intelligent trash can has an identifier uniquely identifying the intelligent trash can.
Optionally, when detecting that the remaining capacity of each intelligent trash can is smaller than a certain threshold, each intelligent trash can sends early warning information to the network device, or each intelligent trash can sends early warning information to the network device according to a preset period.
S11, the network equipment receives early warning information sent by K intelligent garbage cans, wherein K is a natural number greater than or equal to 1;
in the embodiment of the invention, when the network equipment is set, one network equipment can be set in all geographical areas, or a plurality of network equipment can be set in all geographical areas, one network equipment corresponds to one or more geographical areas, and the intelligent garbage can of the geographical area corresponding to the network equipment sends the early warning information to the network equipment.
The network equipment receives the early warning information sent by the K intelligent garbage cans, and one intelligent garbage can send one piece of early warning information or a plurality of pieces of early warning information. The value of K depends on the number of the intelligent garbage cans sending the early warning information. Each piece of early warning information comprises an identification of the intelligent garbage can and an early warning range to which the residual capacity of the intelligent garbage can belongs.
S12, the network equipment determines the cleaning priority of the K intelligent garbage cans according to the early warning range to which the residual capacity of each intelligent garbage can belongs;
in the embodiment of the invention, each early warning range corresponds to one cleaning priority, and the smaller the early warning range is, the higher the cleaning priority is. For example, the plurality of warning ranges are 0 to 1/5, 1/5 to 2/5 and 2/5 to 3/5 respectively, the cleaning priority corresponding to 0 to 1/5 is the highest, and the cleaning priority corresponding to 2/5 to 3/5 is the lowest. The network equipment stores the cleaning priority corresponding to each early warning range, and determines the cleaning priority of the intelligent garbage can according to the early warning range included in the early warning information sent by the intelligent garbage can. Optionally, if the early warning information sent by the same intelligent trash can exists in the multiple pieces of early warning information received by the network device, only the early warning information sent by the intelligent trash can which is received last is reserved, and therefore, finally, the network device reserves K pieces of early warning information sent by K intelligent trash cans. Optionally, the cleaning priority may be represented by priority 1, priority 2, priority 3, and so on, and the higher the priority, the lower the number, such as priority 1 being higher than both priority 2 and priority 3.
And the network equipment determines the cleaning priority of the K intelligent garbage cans sending the K pieces of early warning information according to the early warning range contained in each piece of early warning information in the K pieces of early warning information. It should be noted that the intelligent trash cans with the same warning range of the remaining capacity have the same cleaning priority.
Further optionally, after the network device determines the cleaning priorities of the K intelligent trash cans, since the K intelligent trash cans may be located in a plurality of different geographic areas, cleaning by cleaning staff is facilitated, and cleaning efficiency is improved. The network device needs to further determine a priority between the plurality of different geographic areas.
Specifically, optionally, the network device obtains a preset list, where the preset list includes a correspondence between an identifier of the intelligent trash can and a geographic area where the intelligent trash can is located. The network equipment inquires the geographical area corresponding to the identification of each intelligent garbage can in the identifications of the K intelligent garbage cans from the preset list, so that M geographical areas corresponding to the identifications of the K intelligent garbage cans are obtained, and one geographical area corresponds to the identification of at least one intelligent garbage can. For example, K is 5, the intelligent trash can 1 corresponds to the geographic area 1, the intelligent trash can 2 corresponds to the geographic area 2, the intelligent trash can 3 corresponds to the geographic area 1, the intelligent trash can 4 corresponds to the geographic area 2, the intelligent trash can 5 corresponds to the geographic area 1, and M is 2 as known above, where M is used to indicate the number of geographic areas corresponding to the identifier of the intelligent trash can K.
After the network device obtains the M geographic areas corresponding to the identifiers of the K intelligent garbage cans, the network device further obtains the cleaning priority of each intelligent garbage can in at least one intelligent garbage can corresponding to each geographic area. The specific obtaining manner may be that the determination is performed according to the determined cleaning priorities of the K intelligent trash cans, where K is 5, as an example, it is assumed that the cleaning priority corresponding to the intelligent trash can 1 is priority 2, the cleaning priority corresponding to the intelligent trash can 2 is priority 1, the cleaning priority corresponding to the intelligent trash can 3 is priority 1, the cleaning priority corresponding to the intelligent trash can 4 is priority 2, the cleaning priority corresponding to the intelligent trash can 5 is priority 1, and since the intelligent trash can 1, the intelligent trash can 3, and the intelligent trash can 5 correspond to the geographic area 1, the intelligent trash can 2, and the intelligent trash can 4 correspond to the geographic area 2. The priorities of the 3 intelligent garbage cans corresponding to the known geographic area 1 are respectively priority 2, priority 1 and priority 1; the priority levels of the 2 intelligent garbage cans corresponding to the geographic area 2 are respectively a priority level 1 and a priority level 2.
After the cleaning priorities of the intelligent trash cans in each geographic area are obtained, the number of the intelligent trash cans corresponding to each cleaning priority needs to be further counted. For example, for geographic area 1, the number of intelligent trash cans corresponding to priority 1 is 2, and the number of intelligent trash cans corresponding to priority 2 is 1; for the geographic area 2, the number of the intelligent garbage cans corresponding to the priority level 1 is 1, and the number of the intelligent garbage cans corresponding to the priority level 2 is 1.
The network equipment further acquires the priority order of the M geographic areas according to the number of the intelligent garbage cans corresponding to each cleaning priority of each geographic area. For example, the number of intelligent garbage cans corresponding to the highest priority of each geographic area is determined first, and the geographic area with the largest number of intelligent garbage cans corresponding to the highest priority is used as the highest geographic area priority. If the intelligent garbage cans corresponding to the highest priority of two or more geographic areas are the largest and the same in number, comparing the intelligent garbage cans corresponding to the next highest priority of the two or more geographic areas, and taking the geographic area with the largest number of the intelligent garbage cans corresponding to the next highest priority as the highest geographic area priority, and so on. Continuing with the above example of K — 5, for geographic area 1 and geographic area 2, the priority of geographic area 1 is greater than the priority of geographic area 2 because the number of smart trashes of the highest priority (priority 1) of geographic area 1 is greater than the number of smart trashes of the highest priority (priority 1) of geographic area 2.
There is also a cleaning priority for each intelligent trash can within each geographic area, and there is also a priority order for each geographic area. When the network equipment sends the cleaning priority to the user equipment, the priority sequence among the geographic areas and the cleaning priority of each intelligent garbage can in each geographic area can be sent to the user equipment, so that cleaning personnel can know which intelligent garbage can in which geographic area should be cleaned firstly, and can know which intelligent garbage can should be cleaned firstly when cleaning the intelligent garbage can in each geographic area, and the cleaning efficiency is improved.
Further optionally, the network device may further generate an optimal navigation route according to the geographic position and the cleaning priority of each intelligent trash can in the geographic area, so that the time consumed by cleaning personnel on the road can be reduced, and the cleaning efficiency is improved.
S13, the network equipment sends the cleaning priority of the K intelligent garbage cans to user equipment.
In the embodiment of the invention, the network equipment sends the cleaning priorities of the K intelligent garbage cans to the user equipment. The user equipment may comprise one or more.
When the number of cleaning personnel is large, that is, the number of user devices is large, the geographical area which needs to be charged by each cleaning personnel can be distributed according to the geographical position of each cleaning personnel. Specifically, optionally, the network device broadcasts the location information acquisition request to all the user devices. And when the user equipment receives the position information acquisition request, reporting the geographical position of the user equipment.
And the network equipment receives the geographical position information reported by all the user equipment, and determines C geographical areas corresponding to all the user equipment according to the geographical position information reported by all the user equipment. It should be noted that the geographic area of the user device is divided in the same manner as the geographic area of the intelligent trash can.
The network device determines, according to C geographic areas where the user device is located and M geographic areas where the intelligent trash can is located, the user device corresponding to each geographic area in the M geographic areas, it should be noted that the user device corresponding to a geographic area, that is, the user device, needs to be an intelligent trash can that is in charge of cleaning the geographic area by a cleaner of the user device. When determining the user equipment corresponding to each geographic area, selecting the user equipment according to a principle of proximity, for example, a certain user equipment 1 is in a geographic area 1, and if the geographic area 1 has an intelligent garbage can which needs to be cleaned, the geographic area 1 corresponds to the user equipment 1; if the geographic area 1 does not have the intelligent garbage can needing to be cleaned, the geographic area 1 is adjacent to the geographic area 2, and the geographic area 2 has the intelligent garbage can needing to be cleaned, the geographic area 2 corresponds to the user equipment 1.
The network device can send the cleaning priority of at least one intelligent garbage can corresponding to the geographic area to the user equipment corresponding to the geographic area, so that after the cleaning personnel receive the message, the cleaning personnel can clean the intelligent garbage cans in the geographic area according to the cleaning priority. Furthermore, the network device can also send the priority order of the M geographic areas to the user device, and if the cleaner finds that the priority order of the geographic area to which the cleaner belongs is relatively low and the cleaning priority of each intelligent garbage can is relatively low, the cleaner in the geographic area with the relatively high priority order can be helped to clean the intelligent garbage cans.
S14, the user equipment receives the cleaning priorities of the K intelligent garbage cans sent by the network equipment.
In the embodiment of the invention, a user designs and receives the cleaning priorities of K intelligent garbage cans sent by network equipment.
Optionally, the user equipment receives the cleaning priorities of the plurality of intelligent trash cans in the geographic area corresponding to the user equipment, so that cleaning personnel can clean the intelligent trash cans in the geographic area sequentially according to the cleaning priorities.
Optionally, after receiving the cleaning priorities of the K intelligent garbage cans sent by the network device, the user device may feed back confirmation information to the network device. Further optionally, after receiving the confirmation information fed back by the user equipment, the network equipment confirms that the user equipment successfully receives the cleaning priority. If the network device does not receive the acknowledgement information fed back by the user device, the network device needs to circularly send the cleaning priority of the intelligent trash can to the user device until the network device receives the acknowledgement information fed back by the user device.
In the embodiment of the invention, the network equipment receives the early warning information sent by the K intelligent garbage cans, the early warning information is used for indicating the early warning range of the residual capacity of the intelligent garbage cans, and the network equipment determines the cleaning priority of the K intelligent garbage cans according to the early warning information of each intelligent garbage can in the K intelligent garbage cans, so that the situation that no person cleans the intelligent garbage cans all the time when the garbage amount of the intelligent garbage cans is large and the intelligent garbage cans clean the intelligent garbage cans repeatedly when the garbage amount of the intelligent garbage cans is small can be avoided, the garbage cleaning efficiency is improved, and the human resources are saved.
Fig. 3 is a schematic structural diagram of a network device according to an embodiment of the present invention. The network device described in the embodiment of the present invention includes a receiving unit 10, a processing unit 11, and a transmitting unit 12;
the system comprises a receiving unit 10, a processing unit and a processing unit, wherein the receiving unit is used for receiving early warning information sent by K intelligent garbage cans, the early warning information is used for indicating an early warning range to which the residual capacity of the intelligent garbage cans belongs, and K is a natural number greater than or equal to 1;
the intelligent garbage can provided by the embodiment of the invention can be any one intelligent garbage can arranged in a public place, and the intelligent garbage can detect the residual capacity of the intelligent garbage can through a sensor. Further optionally, the intelligent garbage can stores a plurality of preset early warning ranges, and after the intelligent garbage can detects the residual capacity, the early warning range to which the residual capacity belongs can be judged. For example, the intelligent garbage can detects that the residual capacity is 1/10 of the total capacity, and if the preset warning ranges are 0-1/5, 1/5-2/5 and 2/5-3/5 respectively, the warning range to which the residual capacity belongs is 0-1/5.
The intelligent trash can sends early warning information to the network device, the early warning information includes an early warning range to which the remaining capacity of the intelligent trash can belongs, for example, the above example is continued to be described, the early warning range included in the early warning information is 0-1/5, optionally, the early warning information further includes an identifier of the intelligent trash can, and each intelligent trash can has an identifier uniquely identifying the intelligent trash can.
Optionally, when detecting that the remaining capacity of each intelligent trash can is smaller than a certain threshold, each intelligent trash can sends early warning information to the network device, or each intelligent trash can sends early warning information to the network device according to a preset period.
When the network device is set, one network device may be set in all geographic areas, or multiple network devices may be set in all geographic areas, one network device corresponds to one or more geographic areas, and the intelligent trash can in the geographic area corresponding to the network device sends the warning information to the network device.
The network equipment receives the early warning information sent by the K intelligent garbage cans, and one intelligent garbage can send one piece of early warning information or a plurality of pieces of early warning information. The value of K depends on the number of the intelligent garbage cans sending the early warning information. Each piece of early warning information comprises an identification of the intelligent garbage can and an early warning range to which the residual capacity of the intelligent garbage can belongs.
The processing unit 11 is configured to determine the cleaning priority of the K intelligent trash cans according to an early warning range to which the remaining capacity of each of the K intelligent trash cans belongs;
in the embodiment of the invention, each early warning range corresponds to one cleaning priority, and the smaller the early warning range is, the higher the cleaning priority is. For example, the plurality of warning ranges are 0 to 1/5, 1/5 to 2/5 and 2/5 to 3/5 respectively, the cleaning priority corresponding to 0 to 1/5 is the highest, and the cleaning priority corresponding to 2/5 to 3/5 is the lowest. The network equipment stores the cleaning priority corresponding to each early warning range, and determines the cleaning priority of the intelligent garbage can according to the early warning range included in the early warning information sent by the intelligent garbage can. Optionally, if the early warning information sent by the same intelligent trash can exists in the multiple pieces of early warning information received by the network device, only the early warning information sent by the intelligent trash can which is received last is reserved, and therefore, finally, the network device reserves K pieces of early warning information sent by K intelligent trash cans. Optionally, the cleaning priority may be represented by priority 1, priority 2, priority 3, and so on, and the higher the priority, the lower the number, such as priority 1 being higher than both priority 2 and priority 3.
And the network equipment determines the cleaning priority of the K intelligent garbage cans sending the K pieces of early warning information according to the early warning range contained in each piece of early warning information in the K pieces of early warning information. It should be noted that the intelligent trash cans with the same warning range of the remaining capacity have the same cleaning priority.
Further optionally, after the network device determines the cleaning priorities of the K intelligent trash cans, since the K intelligent trash cans may be located in a plurality of different geographic areas, cleaning by cleaning staff is facilitated, and cleaning efficiency is improved. The network device needs to further determine a priority between the plurality of different geographic areas.
Specifically, optionally, the network device obtains a preset list, where the preset list includes a correspondence between an identifier of the intelligent trash can and a geographic area where the intelligent trash can is located. The network equipment inquires the geographical area corresponding to the identification of each intelligent garbage can in the identifications of the K intelligent garbage cans from the preset list, so that M geographical areas corresponding to the identifications of the K intelligent garbage cans are obtained, and one geographical area corresponds to the identification of at least one intelligent garbage can. For example, K is 5, the intelligent trash can 1 corresponds to the geographic area 1, the intelligent trash can 2 corresponds to the geographic area 2, the intelligent trash can 3 corresponds to the geographic area 1, the intelligent trash can 4 corresponds to the geographic area 2, the intelligent trash can 5 corresponds to the geographic area 1, and M is 2 as known above, where M is used to indicate the number of geographic areas corresponding to the identifier of the intelligent trash can K.
After the network device obtains the M geographic areas corresponding to the identifiers of the K intelligent garbage cans, the network device further obtains the cleaning priority of each intelligent garbage can in at least one intelligent garbage can corresponding to each geographic area. The specific obtaining manner may be that the determination is performed according to the determined cleaning priorities of the K intelligent trash cans, where K is 5, as an example, it is assumed that the cleaning priority corresponding to the intelligent trash can 1 is priority 2, the cleaning priority corresponding to the intelligent trash can 2 is priority 1, the cleaning priority corresponding to the intelligent trash can 3 is priority 1, the cleaning priority corresponding to the intelligent trash can 4 is priority 2, the cleaning priority corresponding to the intelligent trash can 5 is priority 1, and since the intelligent trash can 1, the intelligent trash can 3, and the intelligent trash can 5 correspond to the geographic area 1, the intelligent trash can 2, and the intelligent trash can 4 correspond to the geographic area 2. The priorities of the 3 intelligent garbage cans corresponding to the known geographic area 1 are respectively priority 2, priority 1 and priority 1; the priority levels of the 2 intelligent garbage cans corresponding to the geographic area 2 are respectively a priority level 1 and a priority level 2.
After the cleaning priorities of the intelligent trash cans in each geographic area are obtained, the number of the intelligent trash cans corresponding to each cleaning priority needs to be further counted. For example, for geographic area 1, the number of intelligent trash cans corresponding to priority 1 is 2, and the number of intelligent trash cans corresponding to priority 2 is 1; for the geographic area 2, the number of the intelligent garbage cans corresponding to the priority level 1 is 1, and the number of the intelligent garbage cans corresponding to the priority level 2 is 1.
The network equipment further acquires the priority order of the M geographic areas according to the number of the intelligent garbage cans corresponding to each cleaning priority of each geographic area. For example, the number of intelligent garbage cans corresponding to the highest priority of each geographic area is determined first, and the geographic area with the largest number of intelligent garbage cans corresponding to the highest priority is used as the highest geographic area priority. If the intelligent garbage cans corresponding to the highest priority of two or more geographic areas are the largest and the same in number, comparing the intelligent garbage cans corresponding to the next highest priority of the two or more geographic areas, and taking the geographic area with the largest number of the intelligent garbage cans corresponding to the next highest priority as the highest geographic area priority, and so on. Continuing with the above example of K — 5, for geographic area 1 and geographic area 2, the priority of geographic area 1 is greater than the priority of geographic area 2 because the number of smart trashes of the highest priority (priority 1) of geographic area 1 is greater than the number of smart trashes of the highest priority (priority 1) of geographic area 2.
There is also a cleaning priority for each intelligent trash can within each geographic area, and there is also a priority order for each geographic area. When the network equipment sends the cleaning priority to the user equipment, the priority sequence among the geographic areas and the cleaning priority of each intelligent garbage can in each geographic area can be sent to the user equipment, so that cleaning personnel can know which intelligent garbage can in which geographic area should be cleaned firstly, and can know which intelligent garbage can should be cleaned firstly when cleaning the intelligent garbage can in each geographic area, and the cleaning efficiency is improved.
Further optionally, the network device may further generate an optimal navigation route according to the geographic position and the cleaning priority of each intelligent trash can in the geographic area, so that the time consumed by cleaning personnel on the road can be reduced, and the cleaning efficiency is improved.
And the sending unit 12 is configured to send the cleaning priorities of the K intelligent trash cans to the user equipment.
In the embodiment of the invention, the network equipment sends the cleaning priorities of the K intelligent garbage cans to the user equipment. The user equipment may comprise one or more.
When the number of cleaning personnel is large, that is, the number of user devices is large, the geographical area which needs to be charged by each cleaning personnel can be distributed according to the geographical position of each cleaning personnel. Specifically, optionally, the network device broadcasts the location information acquisition request to all the user devices. And when the user equipment receives the position information acquisition request, reporting the geographical position of the user equipment.
And the network equipment receives the geographical position information reported by all the user equipment, and determines C geographical areas corresponding to all the user equipment according to the geographical position information reported by all the user equipment. It should be noted that the geographic area of the user device is divided in the same manner as the geographic area of the intelligent trash can.
The network device determines, according to C geographic areas where the user device is located and M geographic areas where the intelligent trash can is located, the user device corresponding to each geographic area in the M geographic areas, it should be noted that the user device corresponding to a geographic area, that is, the user device, needs to be an intelligent trash can that is in charge of cleaning the geographic area by a cleaner of the user device. When determining the user equipment corresponding to each geographic area, selecting the user equipment according to a principle of proximity, for example, a certain user equipment 1 is in a geographic area 1, and if the geographic area 1 has an intelligent garbage can which needs to be cleaned, the geographic area 1 corresponds to the user equipment 1; if the geographic area 1 does not have the intelligent garbage can needing to be cleaned, the geographic area 1 is adjacent to the geographic area 2, and the geographic area 2 has the intelligent garbage can needing to be cleaned, the geographic area 2 corresponds to the user equipment 1.
The network device can send the cleaning priority of at least one intelligent garbage can corresponding to the geographic area to the user equipment corresponding to the geographic area, so that after the cleaning personnel receive the message, the cleaning personnel can clean the intelligent garbage cans in the geographic area according to the cleaning priority. Furthermore, the network device can also send the priority order of the M geographic areas to the user device, and if the cleaner finds that the priority order of the geographic area to which the cleaner belongs is relatively low and the cleaning priority of each intelligent garbage can is relatively low, the cleaner in the geographic area with the relatively high priority order can be helped to clean the intelligent garbage cans.
Optionally, after receiving the cleaning priority of the intelligent trash can sent by the network device, the user device may feed back confirmation information to the network device. Further optionally, after receiving the confirmation information fed back by the user equipment, the network equipment confirms that the user equipment successfully receives the cleaning priority. If the network device does not receive the acknowledgement information fed back by the user device, the network device needs to circularly send the cleaning priority of the intelligent trash can to the user device until the network device receives the acknowledgement information fed back by the user device.
In the embodiment of the invention, the network equipment receives the early warning information sent by the K intelligent garbage cans, the early warning information is used for indicating the early warning range of the residual capacity of the intelligent garbage cans, and the network equipment determines the cleaning priority of the K intelligent garbage cans according to the early warning information of each intelligent garbage can in the K intelligent garbage cans, so that the situation that no person cleans the intelligent garbage cans all the time when the garbage amount of the intelligent garbage cans is large and the intelligent garbage cans clean the intelligent garbage cans repeatedly when the garbage amount of the intelligent garbage cans is small can be avoided, the garbage cleaning efficiency is improved, and the human resources are saved.
Fig. 4 is a schematic structural diagram of another network device according to an embodiment of the present invention. The network device described in this embodiment includes: at least one transceiver 1000; at least one processor 3000, e.g., a CPU; and a memory 4000, the transceiver 1000, the processor 3000 and the memory 4000 being connected by a bus 5000.
The transceiver 1000 may specifically be a network interface of a network device, and is configured to receive warning information sent by the intelligent trash can;
the memory 4000 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 4000 is used for storing a set of program codes, and the transceiver 1000 and the processor 3000 are used for calling the program codes stored in the memory 4000 to perform the following operations:
the transceiver 1000 is configured to receive warning information sent by K intelligent garbage cans, where the warning information is used to indicate a warning range to which the remaining capacity of the intelligent garbage can belongs, and K is a natural number greater than or equal to 1;
the processor 3000 is configured to determine the cleaning priority of the K intelligent trash cans according to the warning range to which the remaining capacity of each of the K intelligent trash cans belongs;
the transceiver 1000 is further configured to send the cleaning priorities of the K intelligent trash cans to a user equipment.
Optionally, the processor 3000 is further configured to detect whether confirmation information fed back by the user equipment is received;
the transceiver 1000 is further configured to send the cleaning priorities of the K intelligent trash cans to the user equipment in a cycle if the acknowledgement information fed back by the user equipment is not received, until the acknowledgement information fed back by the user equipment is received.
Optionally, one of the early warning ranges corresponds to one cleaning priority, and the smaller the early warning range is, the higher the cleaning priority is.
Optionally, the early warning information includes an identifier of the intelligent trash can;
the processor 3000 is further configured to obtain a preset list, where the preset list includes a correspondence between an identifier of the intelligent trash can and a geographic area where the intelligent trash can is located;
the processor 3000 is further configured to query, from the preset list, a geographic area corresponding to an identifier of each of the K intelligent trash cans, to obtain M geographic areas corresponding to the identifiers of the K intelligent trash cans, where one geographic area corresponds to at least one identifier of one intelligent trash can, where M is a natural number greater than or equal to 1;
the processor 3000 is further configured to, for each geographic area, obtain a cleaning priority of each intelligent trash can in at least one intelligent trash can corresponding to the geographic area, and count the number of intelligent trash cans corresponding to each cleaning priority;
the processor 3000 is further configured to obtain a priority order of the M geographic areas according to the number of intelligent trash cans corresponding to each cleaning priority of each geographic area in the M geographic areas;
the processor 3000 is further configured to send the priority order of the M geographic areas and the cleaning priority of at least one intelligent trash can corresponding to the geographic area to the user equipment.
Optionally, the transceiver 1000 is further configured to broadcast a location information acquisition request to all user equipments, so that the user equipments report the geographic location of the user equipments according to the location information acquisition request;
the transceiver 1000 is further configured to receive geographic location information reported by all the ue;
the processor 3000 is further configured to determine, according to the geographical location information reported by all the user equipments, C geographical areas corresponding to all the user equipments, where C is a natural number greater than or equal to 1;
the processor 3000 is further configured to determine, according to the C geographic areas and the M geographic areas, a user equipment corresponding to each geographic area in the M geographic areas;
the transceiver 1000 is further configured to send the priority order of the M geographic areas and the cleaning priority of at least one intelligent trash can corresponding to the geographic areas to the user equipment corresponding to the geographic areas.
The embodiment of the present invention further provides a computer storage medium, where the computer storage medium may store a program, and when the program is executed, the program includes some or all of the steps of any one of the warning information processing methods described in the above method embodiments.
While the invention has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus (device), or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the invention has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the invention. Accordingly, the specification and figures are merely exemplary of the invention as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. An early warning information processing method is characterized by comprising the following steps:
the method comprises the steps that network equipment receives early warning information sent by K intelligent garbage cans, wherein the early warning information is used for indicating an early warning range to which the residual capacity of the intelligent garbage cans belongs, K is a natural number larger than or equal to 1, and the early warning information comprises identification of the intelligent garbage cans;
the network equipment determines the cleaning priority of the K intelligent garbage cans according to the early warning range of the residual capacity of each intelligent garbage can in the K intelligent garbage cans;
the network equipment acquires a preset list, wherein the preset list comprises a corresponding relation between an identification of an intelligent garbage can and a geographical area where the intelligent garbage can is located;
the network equipment inquires a geographical area corresponding to the identifier of each intelligent garbage can in the identifiers of the K intelligent garbage cans from the preset list to obtain M geographical areas corresponding to the identifiers of the K intelligent garbage cans, wherein one geographical area corresponds to the identifier of at least one intelligent garbage can, and M is a natural number greater than or equal to 1;
for each geographic area, the network equipment acquires the cleaning priority of each intelligent garbage can in at least one intelligent garbage can corresponding to the geographic area, and counts the number of the intelligent garbage cans corresponding to each cleaning priority;
the network equipment acquires the priority sequence of the M geographic areas according to the number of intelligent garbage cans corresponding to each cleaning priority of each geographic area in the M geographic areas;
the network equipment generates an optimal navigation route according to the geographic position and the cleaning priority of each intelligent garbage can in the M geographic areas;
the network equipment broadcasts a position information acquisition request to all user equipment so that the user equipment reports the geographical position of the user equipment according to the position information acquisition request;
the network equipment receives the geographical position information reported by all the user equipment;
the network equipment determines C geographic areas corresponding to all the user equipment according to the geographic position information reported by all the user equipment, wherein C is a natural number greater than or equal to 1;
the network equipment determines user equipment corresponding to each geographic area in the M geographic areas according to the C geographic areas and the M geographic areas;
and the network equipment sends the priority sequence of the M geographic areas, the cleaning priority of at least one intelligent garbage can corresponding to the geographic areas and the optimal navigation route to user equipment corresponding to the geographic areas.
2. The method of claim 1, wherein the method further comprises:
the network equipment detects whether the confirmation information fed back by the user equipment is received;
if the confirmation information fed back by the user equipment is not received, the network equipment circularly sends the cleaning priorities of the K intelligent garbage cans to the user equipment until the confirmation information fed back by the user equipment is received.
3. The method of claim 1 or 2, wherein one of the alert ranges corresponds to a cleaning priority, and the smaller the alert range, the higher the cleaning priority.
4. A network device, comprising:
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving early warning information sent by K intelligent garbage cans, the early warning information is used for indicating an early warning range to which the residual capacity of the intelligent garbage cans belongs, K is a natural number which is greater than or equal to 1, and the early warning information comprises identification of the intelligent garbage cans;
the processing unit is used for determining the cleaning priority of the K intelligent garbage cans according to the early warning range to which the residual capacity of each intelligent garbage can belongs;
the processing unit is further used for acquiring a preset list, wherein the preset list comprises the corresponding relation between the identification of the intelligent garbage can and the geographic area where the intelligent garbage can is located;
the processing unit is further configured to query, from the preset list, a geographic area corresponding to an identifier of each of the K intelligent trash cans, to obtain M geographic areas corresponding to the identifiers of the K intelligent trash cans, where one geographic area corresponds to an identifier of at least one intelligent trash can, and M is a natural number greater than or equal to 1;
the processing unit is further configured to, for each geographic area, obtain a cleaning priority of each intelligent trash can in at least one intelligent trash can corresponding to the geographic area, and count the number of intelligent trash cans corresponding to each cleaning priority;
the processing unit is further configured to obtain a priority order of the M geographic areas according to the number of intelligent trash cans corresponding to each cleaning priority of each geographic area in the M geographic areas;
the processing unit is further used for generating an optimal navigation route according to the geographic position and the cleaning priority of each intelligent garbage can in the M geographic areas;
the sending unit is further configured to broadcast a location information acquisition request to all user equipment, so that the user equipment reports the geographic location of the user equipment according to the location information acquisition request;
the receiving unit is further configured to receive geographic location information reported by all the user equipments;
the processing unit is further configured to determine C geographic areas corresponding to all the user equipments according to the geographic location information reported by all the user equipments, where C is a natural number greater than or equal to 1;
the processing unit is further configured to determine, according to the C geographic areas and the M geographic areas, a user equipment corresponding to each of the M geographic areas;
the sending unit is specifically configured to send the priority order of the M geographic areas, the cleaning priority of at least one intelligent trash can corresponding to the geographic area, and the optimal navigation route to the user equipment corresponding to the geographic area.
5. The network device of claim 4,
the processing unit is further configured to detect whether acknowledgement information fed back by the user equipment is received;
the sending unit is further configured to send the cleaning priorities of the K intelligent trash cans to the user equipment in a cycle until receiving the acknowledgement information fed back by the user equipment if the acknowledgement information fed back by the user equipment is not received.
6. The network device according to claim 4 or 5, wherein one of the early warning ranges corresponds to one cleaning priority, and the smaller the early warning range, the higher the cleaning priority.
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| CN113379937A (en) * | 2021-06-09 | 2021-09-10 | 深圳市丰巢网络技术有限公司 | A picking prompting method and device for a sending box, the sending box and a storage medium |
| CN113479508A (en) * | 2021-07-07 | 2021-10-08 | 李有俊 | Garbage classification management method and system |
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