CN105978988B - Intelligent cooking control system based on cloud task scheduling - Google Patents

Intelligent cooking control system based on cloud task scheduling Download PDF

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CN105978988B
CN105978988B CN201610429579.2A CN201610429579A CN105978988B CN 105978988 B CN105978988 B CN 105978988B CN 201610429579 A CN201610429579 A CN 201610429579A CN 105978988 B CN105978988 B CN 105978988B
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user
task
intelligent
trust
scheduling
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CN105978988A (en
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徐震
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Qingdao Hengjinyuan Electronic Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J27/00—Cooking-vessels
    • A47J27/002—Construction of cooking-vessels; Methods or processes of manufacturing specially adapted for cooking-vessels
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J27/00—Cooking-vessels
    • A47J27/004—Cooking-vessels with integral electrical heating means
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J36/00—Parts, details or accessories of cooking-vessels
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J43/00—Implements for preparing or holding food, not provided for in other groups of this subclass
    • A47J43/24—Devices for washing vegetables or the like
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/18—Network architectures or network communication protocols for network security using different networks or channels, e.g. using out of band channels
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications

Abstract

The invention discloses an intelligent cooking control system based on cloud task scheduling, which comprises a cloud server, a plurality of user terminals and a plurality of intelligent cooking devices, the system enables family members and friends thereof to remotely control the intelligent rice cooking equipment through the user end through a cloud system framework, when the family members can not remotely control the intelligent rice cooking equipment, the family members can entrust friends of the family members to control the intelligent rice cooking equipment instead, and controls the screening and scheduling of cloud task commands according to the trust of family members and the trust of friends, the intelligent rice cooking equipment entrusts control, improves control safety, selects a plurality of same remote task commands from a plurality of users, reduces unnecessary task transmission and network overhead, avoids unnecessary consumption of the intelligent rice cooking equipment, and improves accuracy of executing remote control on the intelligent rice cooking equipment.

Description

Intelligent cooking control system based on cloud task scheduling
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of intelligent cooking control, in particular to an intelligent cooking control system based on cloud task scheduling.
[ background of the invention ]
In order to meet actual needs, a user needs an intelligent rice cooking device capable of being remotely controlled, but the existing intelligent rice cooking is usually controlled by family members, and if the family members are in a state that the network cannot be connected, the intelligent rice cooking device cannot be remotely controlled in time.
Therefore, when a plurality of family members are inconvenient to remotely control the intelligent rice cooking device, a plurality of friends can be entrusted to control the intelligent rice cooking device instead, although friend concepts are introduced into some intelligent rice cooking control systems at present, the credibility of the friends is not analyzed, and different family members have different credibility, so that potential safety hazards are inevitably caused if the credibility of a user side is not evaluated.
On the other hand, the information communication among the family members is not timely, and a plurality of friends can be entrusted by different family members, so that one family member and other family members or friends entrusted with other family members all send a plurality of same remote task commands to the same intelligent cooking device in a short time, therefore, the same intelligent cooking device needs to receive a plurality of same remote task commands from a plurality of user terminals in a short time, if the remote task commands are not selected, unnecessary task transmission and network overhead are increased inevitably, and the internal processing chip of the intelligent cooking device is in frequent analysis processing after receiving the same task commands in a short time, unnecessary consumption of the intelligent cooking device is increased, the service life of the intelligent cooking device is relatively reduced, and the correct operation of the intelligent cooking device is influenced to a certain extent, it is impossible to perform a correct remote control of the intelligent rice cooking apparatus.
[ summary of the invention ]
In order to solve the problems in the prior art, the invention provides an intelligent cooking control system based on cloud task scheduling, which has the following technical scheme: comprises a cloud server, a plurality of user terminals and a plurality of intelligent rice cooking devices, wherein,
the user side is used for issuing a remote task command;
the cloud server comprises a user management module, a cloud storage module and a task scheduling module;
the cloud storage module is used for storing relevant data of the intelligent cooking control system and comprises an initial task database and a user credit database; the initial task database stores the user side information and the issued remote task command; the user credit database stores user information and the credit information of the user;
the user management module comprises a user trust degree analysis submodule; the user trust degree analysis submodule analyzes the user trust degree based on the user identity and the social relation in the social network, determines the user trust degree and stores the user trust degree in the user trust degree database;
the task scheduling module comprises a task receiving submodule, a task analyzing submodule and a trust degree judging submodule; the task receiving submodule receives remote task commands from the plurality of user sides and stores the remote task commands in an initial task database; the task analysis submodule extracts the content of the task command, the user side information and the user credit from the initial task database and the user trust database; the confidence level judging submodule judges the confidence level of the user and transmits a task command to the intelligent rice cooking equipment;
the intelligent rice cooking equipment comprises a processing chip, a wireless communication module, water injection equipment and a pot body, wherein a water outlet of the water injection equipment is positioned at the top of the pot body, and a water inlet of the water injection equipment is connected with household drinking water equipment; the processing chip receives a task command from the cloud server through the wireless communication module, controls the water injection device to put necessary water into the cooking device body, and controls the cooking device body to heat.
The inner wall of the pot body is further provided with a water level sensor, the water level sensor is connected with the processing chip, food materials are placed in the pot body in advance, when the processing chip receives a task command from the cloud server end through the wireless communication module and is used for cooking, the processing chip controls the water injection equipment and detects whether a water level signal of the water level sensor reaches a threshold value, and when the water level signal of the water level sensor reaches the threshold value, the control chip stops closing the water injection equipment and controls the pot body to heat.
The cloud server also comprises a scheduling task database, the task judgment submodule inquires the user trust priority of a plurality of user terminals issuing the same remote task command from the user trust database, sets the user trust priority as the priority of the task command issued by the user terminal, stores the task command into the scheduling task database, retrieves the task command with high priority from the scheduling task database and transmits the task command to the intelligent rice cooking equipment;
preferably, the confidence level judging submodule includes a user confidence level threshold, and the confidence level judging submodule deletes the user task command lower than the user confidence level threshold from the initial task database according to the comparison between the confidence level of the user and the user confidence level threshold, and stores the user task command not lower than the user confidence level threshold into the scheduling task database;
preferably, the user confidence threshold may be set.
The cloud storage module further comprises a user identity database, and the user identity is set as a family member identity and a friend identity;
the process of judging the user trust by the user trust analysis submodule is realized based on a formula (1),
f(ui)＝wx×s(ui)×z(ui)+wy×g(ui)×k(ui) (1) wherein f (u)i) For user uiDegree of trust of, wx、wyRespectively, to said different user identity weights, s (u)i) And g (u)i) To select a function, the said wxIs the weight assigned to the family membership, the wyIs the weight assigned to the buddy identity, the confidence of the family member is higher than the confidence of his buddy identity, thus let wx＝n×wy，n>1, n is a positive integer; z (u)i) Is the confidence level;
preferably, when the user uiAs family membership s (u)i) Is 1, g (u)i) Is 0; when user uiWhen being friend identity s (u)i) Is 0, g (u)i) Is 1;
preferably, when the user uiFor friend identity and set friend u2，u3，u4，u5，u6，u7And wx＝1，wy0.5, said friend u2，u3，u4，u5，u6，u7Respectively has f (u) as the confidence level2)＝0+0.5×1×0.2＝0.1，f(u3)＝0+0.5×1×0.4＝0.2，f(u4)＝0+0.5×1×0.6＝0.3，f(u5)＝0+0.5×1×0.8＝0.4，f(u6)＝0+0.5×1×1.0＝0.5，f(u7)＝0+0.5×1×1.2＝0.6；
Preferably, friend u is set21，u31，u41，u51，u61，u71Trust ofDegree is f (u) respectively21)＝0.3，f(u31)＝0.4，f(u41)＝0.5，f(u51)＝0.6，f(u61)＝0.7，f(u7)＝0.8；
Preferably, the user management module further includes a user registration sub-module, configured to manage a user identity of the user side.
The degree of trust z (u) of the family memberi) Related to family member age p, z (u)i)＝wa×ma+wb×mb+wc×mcWherein m isa，mb，mcAs a confidence coefficient, 1<ma<mb<mcWherein w isa，wb，wcTo select a coefficient;
preferably, when 20<p<50 times, wc＝1，wa＝0，wb0, when 50<p<70 or when 10<p<At 20, wc＝0，wa＝0，wbWhen p is equal to 1>70 or when p<At 10 times, wc＝0，wa＝1，wb＝0。
K (u) in the formula (1)i) Is user uiThe trust level between the friend identity and the family members when the friend identity is the friend identity, and the trust relationship of the user is represented by a trust relationship graph G ═ U, beta, wherein U represents the set of users, and one user U represents the set of usersiThe trust relationship graph G is expressed as a vertex, the trust relationship graph G comprises a plurality of family member vertexes and a plurality of friend vertexes, beta represents a directed line segment between the family member vertexes and the friend vertexes in the trust relationship graph G, and k (u) is expressedi) For user uiThe weight of a directed line segment beta between two vertexes of the friend and the family member represented in the trust relationship graph G represents the strength of the trust relationship between the family member and the friend, and the length of the directed line segment beta and the weight k (u) arei) In inverse proportion;
preferably, user uiThere are multiple directed line segments β, k (u) between the friend and the family membersi) A plurality of weights corresponding to the plurality of directional line segments betaWeight average value.
The task scheduling module comprises a time judgment submodule; the time judgment submodule judges whether the time interval between the received task commands is smaller than a preset time threshold value or not, and if the time interval is not smaller than the preset time threshold value, the time judgment submodule transmits the task commands in the scheduling task database to the scheduling task transmission submodule; if the time interval is smaller than the preset time threshold, the time judgment sub-module analyzes a plurality of task commands in the scheduling task database, judges whether at least two task commands for the intelligent rice cooking equipment exist and the at least two task commands are the same command, if so, only transmits the task command with the highest priority for the same intelligent rice cooking equipment to the scheduling task transmission sub-module, and if not, transmits the task command in the scheduling task database to the scheduling task transmission sub-module;
preferably, the task scheduling module comprises a scheduling task transmission submodule, wherein the scheduling task transmission submodule transmits the received task command to the corresponding intelligent rice cooking equipment.
The cloud server supports a cloud protocol in a distributed cloud control system protocol, the plurality of clients and the intelligent rice cooking device all have client protocols, and the client protocols and the cloud protocol of the cloud server are based on the same distributed cloud control protocol.
The plurality of user sides are smart phones, tablet computers, notebooks or desktop computers;
preferably, the intelligent cooking equipment comprises an intelligent electric cooker, an intelligent electric pressure cooker and an intelligent electric stewing cup;
preferably, the user trust degree analysis sub-module converts the user task command to obtain a command which can be recognized by the intelligent rice cooking, and the scheduling task database stores the converted command which can be recognized by the intelligent rice cooking;
preferably, the cloud storage module further includes an intelligent device database, and the user trust level analysis sub-module selects a command format that can be recognized by corresponding intelligent rice cooking from the cloud server according to the type and the model of the intelligent rice cooking, converts the command format into a command that can be recognized by the intelligent rice cooking by combining with a task command of a user side, and stores the command in the initial task database.
The intelligent rice cooking control system disclosed by the invention has the advantages that through a cloud system framework, family members and friends thereof can remotely control the intelligent rice cooking equipment through the user end, when the family members cannot remotely control the intelligent rice cooking equipment, the friends can be entrusted to control instead, and the screening and scheduling of cloud task commands are controlled according to the trust level of the family members and the trust level of the friends, so that the entrusted control of the intelligent rice cooking equipment is realized, the control safety is improved, a plurality of identical remote task commands from a plurality of users are selected, only the task command with the highest priority is transmitted, the unnecessary task transmission and network overhead are reduced, the accuracy of executing remote control on the intelligent rice cooking equipment is improved, and the influence on the work of the intelligent rice cooking equipment and the equipment loss are reduced.
[ description of the drawings ]
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, and are not to be considered limiting of the invention, in which:
fig. 1 is a framework diagram of an intelligent cooking control system based on cloud task scheduling according to the present invention.
Fig. 2 is a frame diagram of the cloud server according to the present invention.
FIG. 3 is an example of a trust relationship diagram for one embodiment of the present invention.
FIG. 4 is a flow chart of one embodiment of the present invention.
[ detailed description ] embodiments
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are provided only for the purpose of illustrating the present invention and are not to be construed as unduly limiting the invention.
The basic idea of the invention is: through the cloud system framework, the family members can remotely control the intelligent rice cooking devices, and when the family members cannot remotely control the intelligent rice cooking devices, friends of the family members can be entrusted to control the intelligent rice cooking devices, and screening and scheduling of cloud task commands are controlled according to the trust degrees of the family members and the trust degrees of the friends, so that the intelligent rice cooking entrusted control is realized, the control safety is improved, a plurality of same remote task commands from a plurality of users are selected, only the task command with the highest priority is transmitted, unnecessary task transmission and network overhead are reduced, the accuracy of executing remote control on the intelligent rice cooking devices is improved, and unnecessary loss of the intelligent rice cooking devices is avoided.
Referring to fig. 1, fig. 1 is a basic framework of the intelligent rice cooking control system based on cloud task scheduling according to the present invention,
the system comprises a cloud server, a plurality of user sides and a plurality of intelligent cooking devices, wherein
The cloud server supports a cloud protocol in a distributed cloud control system protocol, the plurality of user sides and the plurality of intelligent rice cooking devices have user side protocols, and the user side protocols and the cloud protocol of the cloud server are based on the same distributed cloud control protocol;
as shown in fig. 2 and 4, the cloud server includes a user management module, a cloud storage module, and a task scheduling module;
the cloud storage module comprises a user identity database, a user trust degree database, an intelligent device database, an initial task database and a scheduling task database;
the user management module comprises a user registration submodule and a user trust degree analysis submodule; the user registration submodule is used for registering a user and the identity of the user and storing the user and the identity of the user in a user identity database of the cloud storage module, wherein the user identity comprises a family member identity and a friend identity; the user trust degree analysis submodule analyzes the trust degree of the user based on the user identity and the social relation in the social network, determines the user trust degree and stores the user trust degree in a user trust degree database of the cloud storage module;
the task scheduling module comprises a task receiving submodule, a task analyzing submodule, a trust degree judging submodule, a time judging submodule and a scheduling task transmitting submodule, wherein the task receiving submodule receives a plurality of cloud task information from a plurality of user terminals and stores the cloud task information in an initial task database, the cloud task information comprises a cloud task command of a user to the intelligent rice cooking equipment and user terminal identification information for sending the cloud task command, the task analyzing submodule analyzes the cloud task information in the initial task database and analyzes the content of the cloud task command and identifies the user sending the cloud task command and the identity of the user according to the user terminal identification information, the cloud task command is analyzed by screening a command format which can be identified by the corresponding household appliance from an intelligent equipment database of the cloud server according to the type and the model of the household appliance, converting the command combined with the user side into a command which can be recognized by the controlled household appliance and storing the command in an initial task database; the credibility judgment sub-module inquires the credibility of the plurality of identified users from the user credibility database, deletes the converted task command corresponding to the user with the credibility threshold value lower than the user credibility threshold value from the initial task database based on a preset user credibility threshold value, stores the converted task command corresponding to the user with the credibility threshold value lower than the user credibility threshold value into a scheduling task database from the initial task database, performs priority configuration on the task command based on the user credibility, and sets the credibility priority as the priority of the task command issued by the user terminal; the time judgment submodule judges whether the time interval between the received task commands is smaller than a preset time threshold value or not, and if the time interval is not smaller than the preset time threshold value, the time judgment submodule transmits the task commands in the scheduling task database to the scheduling task transmission submodule; if the time interval is smaller than the preset time threshold, the time judgment sub-module analyzes a plurality of task commands in the scheduling task database, judges whether at least two task commands for the intelligent rice cooking equipment exist and the at least two task commands are the same command, if so, only transmits the task command with the highest priority for the same intelligent rice cooking equipment to the scheduling task transmission sub-module, and if not, transmits the task command in the scheduling task database to the scheduling task transmission sub-module; the scheduling task transmission submodule sends the received task command to the corresponding intelligent rice cooking equipment;
the intelligent cooking equipment comprises a processing chip, a sensor, a wireless communication module and the intelligent cooking equipment, wherein the processing chip is used for receiving a task command from the cloud server end and controlling the intelligent cooking equipment to operate.
The following process of analyzing the trust of the user and determining the trust of the user by the user trust analysis submodule based on the identity of the user and the social relationship in the social network is analyzed, and the process of determining the trust of the user is realized based on the following formula (1), wherein the process of determining the trust of the user is realized by the following formula
f(ui)＝wx×s(ui)×z(ui)+wy×g(ui)×k(ui) (1) wherein f (u)i) For user uiDegree of trust of, wx、wyRespectively, weights assigned to the identity of the family member and the identity of the friend, and w is assigned because the trustworthiness of the family member is higher than that of the friendx＝n×wy，n>1, n is a positive integer; s (u)i) And g (u)i) To select a function, when user uiAs family membership s (u)i) Is 1, g (u)i) Is 0, and when user uiWhen being friend identity s (u)i) Is 0, g (u)i) Is 1; wherein z (u)i) For user uiThe credibility of the family members as family members in the case of family members is different due to different family member identities or the credibility of the family members with different ages p for controlling the intelligent rice cooking device, such as a family of grandchild three, for 20<p<50 family members, typically dad or mom or adult children in a family, have a primary control responsibility for the intelligent rice cooking device, and thus are assigned the highest corresponding confidence levels, while 50 are assigned<p<70 or 10<p<Family members of 20 who are typically mild grandparents, grandparents or teenage children have a secondary control responsibility for the intelligent rice cooking facility and thus have a high degree of confidence in their assignment, while for p>70, although they are grandfather and milk in the family, the ratio of them isOver the years, the intelligent rice cooking system is generally not or less subject to control, and is therefore assigned a corresponding lower degree of certainty, also for p<The family members of 10, which are typically young children in the family, also generally do not have control responsibility or less control responsibility for the intelligent rice cooking appliance, and therefore have a minimum corresponding confidence level assigned thereto. Therefore, set z (u)i) Related to family member age p, z (u)i)＝wa×ma+wb×mb+wc×mcWherein m isa，mb，mcAs a confidence coefficient, 1<ma<mb<mcWherein wa, wb，wcTo select the coefficients, and when 20<p<50 times, wc＝1，wa＝0，wb0, when 50<p<70 or when 10<p<At 20, wc＝0，wa＝0，wbWhen p is equal to 1>70 or when p<At 10 times, wc＝0，wa＝1，wb＝0。
The process of determining the trustworthiness of the friend identity is analyzed as follows, wherein k (u) in the formula (1) isi) Is to determine the user u based on the trust relationship between users in the social networkiDegree of trust between a friend when it is a member of his family, where k (u)i) Is to determine the user u based on the trust relationship between users in the social networkiThe trust between the friend and the family members in the case of friend identity, wherein the trust relationship among the users in the social network is represented by a trust relationship graph G ═ U, beta, wherein U represents the set of users, and one user U represents the set of usersiThe trust relationship graph G is expressed as a vertex, the trust relationship graph G comprises a plurality of family member vertexes and a plurality of friend vertexes, beta represents a directed line segment between the family member vertex and the friend vertex in the trust relationship graph G, and the vertex U of the family member in the user set U is pointed toxAnd friend vertex uyIf there is an oriented line β, it indicates that there is a trust relationship between the family member and the friend, and the weight of the oriented line β indicates the strength of the trust relationship between the family member and the friend, and the strengthDetermining k (u) based on user characteristics and historical scoresi) For user uiThe two vertexes of the friend and the family member represented in the trust relationship graph G are weighted by a directed line segment beta, and the length of the directed line segment beta is in inverse proportion to the weight of the directed line segment beta.
In the trust relationship diagram G shown in FIG. 3, assume that there are two family members u in a family1And family member u11Respectively expressed as family member vertex u in the trust relationship graph G1And u11Vertex u2，u3，u4，u5，u6，u7，u21，u31，u41，u51，u61，u71Are all friend vertices, family member vertex u1Vertex u of friend2，u3，u4，u5，u6，u7Respectively have a directional line segment beta therebetween1，β2，β3，β4，β5，β6Then it indicates the family member u1U with friends2，u3，u4，u5，u6，u7There is a trust relationship between, and β1，β2，β3，β4，β5，β6The corresponding weights are 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, and β, respectively1Length of (2)>β2Length of (2)>β3Length of (2)>β4Length of (2)>β5Length of (2)>β6Length of (d). k (u)i) The user is weighted by the directed line segment beta between the friend and the family member, then k (u)2)＝0.2，k(u3)＝0.4，k(u4)＝0.6，k(u5)＝0.8，k(u6)＝1.0，k(u7) 1.2. Another family member vertex u11Vertex u of friend21，u31，u41，u51，u61，u71Respectively have a directional line segment beta therebetween11，β21，β31，β41，β51，β61Then it indicates the family member u11U with friends21，u31，u41，u51，u61，u71There is a trust relationship between, and β11，β21，β31，β41，β51，β61The corresponding weights are 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, respectively. k (u)i) The user is weighted by the directed line segment beta between the friend and the family member, then k (u)21)＝0.6，k(u31)＝0.8，k(u41)＝1.0，k(u51)＝1.2，k(u51)＝1.4，k(u61) 1.6. K (u) if there are multiple directed line segments β between the user as a friend and multiple family membersi) Is an average value of the weights of the directional line segments β.
Suppose wxIs 1, wyIs 0.5, when user uiWhen it is a friend's identity, s (u)i)＝0，g(ui) If the user trust degree is 1, the user trust degree analysis submodule analyzes the friend u according to the user identity and the trust relation graph based on the formula (1)2，u3，u4，u5，u6，u7Respectively has f (u) as the confidence level2)＝0+0.5×1×0.2＝0.1，f(u3)＝0+0.5×1×0.4＝0.2，f(u4)＝0+0.5×1×0.6＝0.3，f(u5)＝0+0.5×1×0.8＝0.4，f(u6)＝0+0.5×1×1.0＝0.5，f(u7) 0+0.5 × 1 × 1.2-0.6; based on the same way, the friend u can be determined21，u31，u41，u51，u61，u71Respectively has f (u) as the confidence level21)＝0.3，f(u31)＝0.4，f(u41)＝0.5，f(u51)＝0.6，f(u61)＝0.7，f(u7)＝0.8。
Based on family member age and formula (1), when user uiIn the case of family membership, s (u)i)＝1，g(ui) When m is equal to 0, let ma＝1，mb＝2，mc3 and family member u1And family member u11All ages are 20<p<50, since the family member u1And family membersu11All ages are 20<p<Within 50, then wc＝1，wa＝0，wb0, so z (u)1) 0 × 1+0 × 2+1 × 3 is 3, and z (u) is the same as above2) If 3, then family member u based on equation (1)1Degree of trust f (u)1) 1 × 1 × 3+0 ═ 3, and f (u) in the same manner2) When the family member u is calculated as 31And family member u11The respective trust degrees are 3, in other embodiments, family members with ages in different ages may exist, the trust degrees of the family members with the other ages are calculated according to the ages of the family members and the formula (1), and the user trust degrees of all the family members and all the friends of the family members are stored in the user trust degree database.
In one embodiment, it is assumed that the task receiving submodule receives 4 cloud task control information for the intelligent rice cooking device from 4 user terminals respectively and stores in the initial task database during the time period t; the task analysis submodule analyzes the cloud task information in the initial task database, analyzes the cloud task command and identifies the user identity sending the cloud task command, and supposes that 3 users are u according to the user side identification information2，u3，u5And are all family members u1Identifies one of the users as u21And is a family member u11In other embodiments, the identity of the user side may also be a family member, and in this embodiment, the identities are friends. Friend u2，u3，u21，u5The control task sent out to the intelligent rice cooking equipment is converted into the command which can be recognized by the controlled household appliance after being analyzed by the task analysis submodule and is t2，t3，t4，t5And stored in the initial task database. Assuming that the preset confidence threshold is 0.2, the confidence judgment submodule queries the user u from the user confidence database2，u3，u21，u5If the confidence level of the task command is less than the confidence level threshold value, the user with the confidence level less than the confidence level threshold value is identified as a low-confidence-level user, and the task command sent by the low-confidence-level user is judged by the confidence level judgment submodelThe block is deleted from the initial task database, in this embodiment, friend u2If the confidence level of the task is 0.1 and is lower than the threshold value of the confidence level, the friends u in the initial task data are judged to be2Corresponding control task command t2And deleting, in the application, because the trust of the user is evaluated, based on the threshold of the trust, the bad operation of the user with low trust on the intelligent rice cooking equipment can be filtered out, and the safety is improved.
Then the users u not lower than the confidence threshold3，u21，u5Issued task command t to the intelligent cooking device3，t4，t5Storing the data into a scheduling task database and according to the user u3，u21，u5In this embodiment, the priority ranking is based on the user u3，u21，u5Degree of trust of u3，u21，u5Degree of trust of f (u)3)＝0.2，f(u21)＝0.3，f(u5) 0.4, so the priority t is determined3<Priority t4<Priority t5。
And then the time judgment submodule judges whether the time interval t of the received 4 task commands is smaller than a preset time threshold value, if the preset time threshold value is 5 minutes, if the time interval t is not smaller than the preset time threshold value for 5 minutes, the time judgment submodule schedules the task commands t in the task database3，t4，t5All are transmitted to a scheduling task transmission submodule; if the time interval t is less than the predetermined time threshold of 5 minutes, the time decision submodule analyzes the task command t in the scheduled task database3，t4，t5And judging whether at least two task commands for the same intelligent rice cooking device exist and belong to the same command, wherein the command refers to starting operations of different functions of the intelligent rice cooking device, such as on/off, function selection and the like of the intelligent rice cooking device. Let t3，t4Are all task commands to the intelligent cooking device and are all on commands due to the priority t3<Priority t4Then only the highest priority for the intelligent rice cooking device will bePreceding task command t4And task commands t for other intelligent rice cooking devices5Transmitting to a scheduling task transmission submodule, the scheduling task transmission submodule transmitting the received task command t4，t5Sending the rice to the corresponding intelligent rice cooking equipment. According to the intelligent rice cooking device and the intelligent rice cooking method, only the task command with the highest priority is sent to the scheduling task sending submodule and further sent to the corresponding intelligent rice cooking device for the same intelligent rice cooking device, so that unnecessary task transmission and network overhead are avoided, the accuracy of remote control of the intelligent rice cooking device is improved, meanwhile, the situation that the internal processing chip of the intelligent rice cooking device is in frequent analysis processing due to the fact that a plurality of same task commands are received in a short time is avoided, unnecessary consumption of the intelligent rice cooking device is reduced, the service life of the intelligent rice cooking device is prolonged relatively, and excessive consumption of the intelligent rice cooking device is reduced.
The intelligent rice cooking equipment comprises a processing chip, a wireless communication module, water injection equipment and an electrically heatable pot body, wherein a water outlet of the water injection equipment is positioned at the top of the pot body, and a water inlet of the water injection equipment is connected with household drinking water equipment; the processing chip receives a task command from the cloud server through the wireless communication module, controls the water injection device to put necessary water into the cooking device body, and controls the cooking device body to heat.
The electrically heated pot body can be an electric cooker, an electric pressure cooker, an electric stewing pot and the like.
The above description is only a preferred embodiment of the present invention, and all equivalent changes or modifications of the structure, characteristics and principles described in the present invention are included in the scope of the present invention.

Claims (6)

1. An intelligent cooking control system based on cloud task scheduling is characterized by comprising a cloud server, a plurality of user terminals and a plurality of intelligent cooking devices, wherein,
the user side is used for issuing a remote task command;
the cloud server comprises a user management module, a cloud storage module and a task scheduling module;
the cloud storage module is used for storing relevant data of the intelligent rice cooking control system, and comprises an initial task database and a user trust degree database; the initial task database stores user side information and issued remote task commands; the user trust degree database stores user information and trust degree information of the user;
the user management module comprises a user trust degree analysis submodule; the user trust degree analysis submodule analyzes the user trust degree based on the user identity and the social relation in the social network, determines the user trust degree and stores the user trust degree in the user trust degree database;
the task scheduling module comprises a task receiving submodule, a task analyzing submodule and a trust degree judging submodule; the task receiving submodule receives remote task commands from the plurality of user sides and stores the remote task commands in an initial task database; the task analysis submodule extracts the content of the remote task command, the user side information and the user trust degree from the initial task database and the user trust degree database; the credibility judgment sub-module judges the credibility of the user and transmits a remote task command to the intelligent rice cooking equipment;
the intelligent rice cooking equipment comprises a processing chip, a wireless communication module, water injection equipment and an electrically heatable pot body, wherein a water outlet of the water injection equipment is positioned at the top of the pot body, and a water inlet of the water injection equipment is connected with household drinking water equipment; the processing chip receives a remote task command from the cloud server through the wireless communication module, controls the water injection device to put necessary water into the cooking device body, and controls the cooking device body to heat;
the processing chip controls the water injection equipment and detects whether a water signal of the water level sensor reaches a threshold value or not, and when the water signal of the water level sensor reaches the threshold value, the processing chip closes the water injection equipment and controls the pot body to heat at the same time;
the cloud server also comprises a scheduling task database, the trust degree judging submodule inquires the user trust degree priority of a plurality of user terminals issuing remote task commands from the user trust degree database, sets the user trust degree priority as the priority of the remote task commands issued by the user terminals, stores the user trust degree priority as the priority of the remote task commands issued by the user terminals, and retrieves the remote task commands with high priority from the scheduling task database to transmit to the intelligent rice cooking equipment;
the trust degree judging submodule comprises a user trust degree threshold value, and the trust degree judging submodule deletes the remote task command lower than the user trust degree threshold value from the initial task database according to the comparison between the trust degree value of the user and the user trust degree threshold value, and stores the remote task command not lower than the user trust degree threshold value into the scheduling task database;
the user confidence threshold value can be set;
the cloud storage module further comprises a user identity database, and the user identity is set as a family member identity and a friend identity;
the process of judging the user trust by the user trust analysis submodule is realized based on a formula (1),
f(ui)＝wx×s(ui)×z(ui)+wy×g(ui)×k(ui) (1)
wherein, f (u)i) For user uiDegree of trust of, wx、wyRespectively assigned to different user identity weights, s (u)i) And g (u)i) To select a function, the said wxIs the weight assigned to the family membership, the wyIs the weight assigned to the buddy identity, the confidence of the family member is higher than that of his buddy identity, thus let wx＝n×wy，n>1, n is a positive integer; z (u)i) A degree of trust for a family member;
the trust relationship of the users is represented by a trust relationship graph G ═ U, β, where U represents a set of users, and one user U represents a set of usersiThe trust relationship graph G is expressed as a vertex, the trust relationship graph G comprises a plurality of family member vertexes and a plurality of friend vertexes, beta represents a directed line segment between the family member vertexes and the friend vertexes in the trust relationship graph G, and k (u) is expressedi) For user uiThe friend serving as a direct line segment beta between two vertexes represented by the friend and the family member in the trust relationship graph G, the weight of the directed line segment beta represents the strength of the trust relationship between the family member and the friend, and the length of the directed line segment beta and the weight k (u) of the directed line segment betai) In inverse proportion;
user uiThere are multiple directed line segments β, k (u) between the friend and the family membersi) The average value of the weights corresponding to the directional line segments β is obtained.
2. The intelligent cooking control system based on cloud task scheduling as claimed in claim 1, wherein when the user u is in the state of being servediAs family membership s (u)i) Is 1, g (u)i) Is 0; when user uiWhen being friend identity s (u)i) Is 0, g (u)i) Is 1;
setting family member u1Friend u of2，u3，u4，u5，u6，u7And wx＝1，wy0.5, said friend u2，u3，u4，u5，u6，u7Respectively has f (u) as the confidence level2)＝0+0.5×1×0.2＝0.1，f(u3)＝0+0.5×1×0.4＝0.2，f(u4)＝0+0.5×1×0.6＝0.3，f(u5)＝0+0.5×1×0.8＝0.4，f(u6)＝0+0.5×1×1.0＝0.5，f(u7)＝0+0.5×1×1.2＝0.6；
Setting family member u11Friend u of21，u31，u41，u51，u61，u71Respectively has f (u) as the confidence level21)＝0.3，f(u31)＝0.4，f(u41)＝0.5，f(u51)＝0.6，f(u61)＝0.7，f(u71)＝0.8；
The user management module further comprises a user registration submodule for managing the user identity of the user side.
3. The intelligent cooking control system based on cloud task scheduling as claimed in any one of claims 1 to 2, wherein the confidence level z (u) of the family memberi) Related to family member age p, z (u)i)＝wa×ma+wb×mb+wc×mcWherein m isa，mb，mcAs a confidence coefficient, 1<ma<mb<mcWherein w isa，wb，wcTo select a coefficient;
when 20 is turned on<p<50 times, wc＝1，wa＝0，wb0, when 50<p<70 or when 10<p<At 20, wc＝0，wa＝0，wbWhen p is equal to 1>70 or when p<At 10 times, wc＝0，wa＝1，wb＝0。
4. The intelligent cooking control system based on cloud task scheduling according to claim 3, wherein the task scheduling module comprises a time judgment sub-module; the time judgment submodule judges whether the time interval between the received remote task commands is smaller than a preset time threshold value or not, and if the time interval is not smaller than the preset time threshold value, the time judgment submodule transmits the remote task commands in the scheduling task database to the scheduling task transmission submodule; if the time interval is smaller than the preset time threshold, the time judgment sub-module analyzes a plurality of remote task commands in the scheduling task database and judges whether at least two remote task commands exist in the intelligent rice cooking equipment and whether the at least two remote task commands are the same command; if the intelligent cooking equipment has at least two remote task commands and the remote task commands are different, only the remote task command with the highest priority for the same intelligent cooking equipment is transmitted to the scheduling task transmission submodule; if the intelligent rice cooking equipment has two identical remote task commands or has less than two remote task commands, the remote task commands in the scheduling task database are transmitted to the scheduling task transmission submodule;
the task scheduling module comprises a scheduling task transmission submodule, wherein the scheduling task transmission submodule sends the received remote task command to the corresponding intelligent rice cooking equipment.
5. The intelligent rice cooking control system based on cloud task scheduling according to claim 4, wherein the cloud server supports a cloud protocol in a distributed cloud control system protocol, the plurality of user terminals and the intelligent rice cooking device have user terminal protocols, and the user terminal protocols and the cloud protocol of the cloud server are based on the same distributed cloud control protocol.
6. The intelligent cooking control system based on cloud task scheduling according to claim 5, wherein the plurality of user terminals are smart phones, tablet computers, notebooks or desktop computers;
the pot body comprises an electric cooker, an electric pressure cooker and an electric stewing pot;
the user trust degree analysis submodule converts the remote task command to obtain a command which can be recognized by the intelligent rice cooking equipment, and the scheduling task database stores the converted command which can be recognized by the intelligent rice cooking equipment;
the cloud storage module further comprises an intelligent equipment database, the user trust degree analysis submodule screens out a command format which can be identified by the corresponding intelligent rice cooking equipment from the cloud server according to the type and the model of the intelligent rice cooking equipment, and converts the command which can be identified by the intelligent rice cooking equipment into a command which can be identified by the intelligent rice cooking equipment by combining a remote task command of a user side and stores the command in the initial task database.
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