CN113610587A - Distribution method and device of intelligent household order service platform - Google Patents
Distribution method and device of intelligent household order service platform Download PDFInfo
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Abstract
The invention discloses a distribution method and a distribution device of an intelligent home order service platform. The invention provides a complete informatization system method aiming at the service installation of intelligent household equipment, and achieves the purposes of intelligent matching and full utilization of a capacity resource library through an automatic order dispatching method, so that the communication efficiency can be effectively improved, the problems of long installation period, service satisfaction degree and safety are better solved, meanwhile, the platform serves various large power suppliers, equipment suppliers and service installation groups, and finally, higher user experience is brought to customers, the whole process is very smooth and reasonable to implement, and the practicability is stronger in application.
Description
Technical Field
The invention relates to the technical field of intelligent home, in particular to a method and a device for distributing an intelligent home order service platform.
Background
The intelligent home is characterized in that a home is used as a platform, facilities related to home life are integrated by utilizing a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and an audio and video technology, an efficient management system of home facilities and family schedule affairs is constructed, home safety, convenience, comfortableness and artistry are improved, environment-friendly and energy-saving living environments are realized, with the development of ICT and the popularization of intelligent terminals, people-to-people contact more closely, various service providers and demand publishers have a faster connection basis, and an online-to-offline (O2O) mode fills each corner, so that the living efficiency and convenience are greatly improved. And 5G and the development of the Internet of things bring more technological feelings and intellectualization to families, the desire of people for pursuing beautiful life is mature and strong day by day, and then more intelligent household objects such as intelligent door locks, intelligent monitoring, intelligent curtains, intelligent bathrooms, intelligent sound equipment and the like begin to replace traditional equipment.
The smart home on the current market often needs to be installed manually in practical application, most platform services have the problems of overlong installation period, long time consumption, high user complaint rate, personnel safety and the like, and the problems cause direct negative influence on the installation of the smart home, so that the progress and development of family intellectualization are restricted, and certain limitation exists during application.
Disclosure of Invention
The invention provides a distribution method and a distribution device of an intelligent home order service platform, aiming at the defects in the background art.
In order to solve the above phenomena, the following technical solutions are adopted, and an apparatus for an intelligent home order service platform includes an intelligent home order service platform, where the intelligent home order service platform includes an enterprise management module, an order management module, an intelligent algorithm module, a rule engine module, and an authentication management module.
The distribution method comprises the following steps:
s1, registration: the enterprise management module is used for establishing and registering enterprise information, describes that a basic portrait enterprise of the enterprise initiates a registration application, is audited by an administrator after filling in data information and installation information of the enterprise, and is successfully established after the audit is passed; if the verification fails, the operation is returned and re-filled, and after the enterprise finishes the registration, the enterprise has the capability of issuing an order request and can develop the business;
s2, order management: the order management module is used for creating, inquiring, editing, deleting, assigning and the like of orders, and is a core logic of a whole service flow, wherein the core information flow carrier orders of the serial upstream and downstream services are core logics of the whole service flow;
s3, rules engine module function: the rule engine module is used for creating, inquiring, editing, deleting and the like of the order rule, is a logic rule basis and management library for order distribution, and an administrator initiates the change of the rule;
s4, intelligent algorithm module: the intelligent algorithm module is used for matching results meeting conditions at the highest speed according to selected rules to finish the optimal selection, the algorithm module mainly introduces an intelligent electronic fence algorithm, a range can be manually circled on a map when master workers are added, and the master workers can be matched preferentially when orders of the range are generated; firstly, when adding master information, the master manually defines a service range on a map; the second step algorithm module identifies longitude and latitude information of the key points and associates master, the algorithm module supports two modes of regular pattern accurate matching and irregular pattern fuzzy matching, wherein the regular pattern accurate matching is as follows: when a master manually defines a range on a map, the master stretches in a rectangular mode, and the latitude and longitude information of 4 corner points is extracted by an algorithm, such as N1(x1, y 1); wherein the irregular pattern fuzzy matching is as follows: a map manually drawn by a master on a map, an original contour track is reserved, the circumference is calculated, N point information is taken at equal distance along the line, wherein N can be set but cannot be smaller than 3, theoretically, the larger N is, the higher the precision is, then longitude and latitude information of N nodes is extracted, such as N1(x1, y1), N2(x2, y2), N3(x3, y3).. Nx (x, y), N2(x2, y2), N3(x3, y3), N4(x4, y4), and then the N is stored; when a new order is generated, the service address information of the order is taken out; the fourth step of converting the address information into specific longitude and latitude, obtaining the longitude and latitude information through reverse geocoding, such as G (a, b), the fifth step of rapidly matching the coincidence degree of S02 according to the longitude and latitude information in the fourth step, if the coincidence degree is matched, the intention service master is hit to two modes of the graph, the matching algorithm is the same, and the specific following steps are carried out:
g (a, b) represents address information of an order
Electronic fence key point set information manually drawn by N (x, y) code
Judging whether G is in the range, wherein Min (Nx) G (a) Max (Nx) must be satisfied; min (ny) < ═ g (b) < ═ max (ny);
that is, the longitude of the G point is greater than the minimum value of the key points of the electronic fence and less than the maximum value of the key points of the electronic fence; the dimensionality of the G point is larger than the minimum value of the key points of the electronic fence and smaller than the maximum value of the key points of the electronic fence; otherwise, the electronic fence can be considered to fall outside the electronic fence, if a plurality of service master information exists in the fifth step, the sixth step advances and preferably selects the best service master, preferably comprises the order receiving number, the satisfaction degree and the service response time of the master, and each factor has different weight, so that the best master is found out, and the method specifically comprises the following steps:
05. fifthly, selecting a master group, wherein each master group is provided with the maximum daily unit taking amount;
06. if the maximum order receiving quantity of the master in the day is exceeded, skipping the master, otherwise, entering the next step;
07. calculating a single-connected weight value, wherein S is 0.5 satisfaction +0.3 average response time +0.2 single-connected; the satisfaction degree is inversely proportional to the number of complained persons within 30 days, weight reduction coefficients are set according to the proportion, the best satisfaction degree is guided by a formula, and the fastest response time and the fastest labor intensity are balanced;
08. sequentially selecting a service master according to the order-receiving weight sequence;
seventh step, automatically distributing the order to the master and notifying the master by short message; after the eighth step master receives the order, the process is finished; if the master refuses the order and is allowed or the order is not received within time, sequentially selecting the next service master according to the sixth step; ninth, after the service is finished, receiving user evaluation, and recording the data of the master according to the feedback information;
s5, authentication management module: the method aims to ensure the legality of a master in home construction, the master checks the identity through face recognition and address positioning before construction, and can carry out formal construction after the identity is checked, so that the problem of counterfeit identity is solved to ensure the safety of users; firstly, an assigned master reaches a service area and punches a card on an APP; secondly, the rear end positions address information through a GPS and converts the address information into longitude and latitude, such as G _ S (a1, b 1); thirdly, obtaining service address information from the order and converting the service address information into longitude and latitude, such as G _ C (a2, b 2); fourthly, according to a service interval range set by a system, calculating longitude and latitude information of the service range, such as G _ F1(x1, y1), G _ F2(x2, y2), G _ F3(x3, y3) G _ F4(x4, y4), wherein G _ F is G _ C + the system setting interval value; fifthly, judging that if the G _ S is in the G _ F range, the card punching is successful, and opening a mobile phone camera to perform face recognition; and sixthly, comparing the face information with the static face information in the background database, wherein the algorithm is open source or a third party, if the face information passes the algorithm, the algorithm is considered as a legal master, if the face information fails, the algorithm is retried for 3 times, and if the face information fails to pass the algorithm, the construction request is rejected.
As a further preferable mode of the present invention, in step S1, the enterprise management module is used for creating and registering enterprise information, which describes that a basic portrait enterprise of the enterprise initiates a registration application, and after filling in information and installation information of the enterprise, the administrator checks the information, and after the information passes the checking, the creation is successful; and if the verification fails, the business is returned and re-filled, the registered information at least comprises enterprise names, registrants, contact ways, account numbers, responsible persons, finance, address information, bank account numbers, installation service types, contract information, enterprise credit levels, enterprise blacklists and the like, and when the enterprise finishes the registration, the business can be developed only if the enterprise has the capability of issuing order requests.
As a further preferable mode of the present invention, in step S2, the order management module is used for creating, querying, editing, deleting, assigning, etc. the order is a core logic of the entire service flow of the core information flow bearer of the tandem upstream and downstream services; firstly, the first step is to place an order by an enterprise, namely to create order information, which at least comprises customer information: customer name, contact information, installation time, customer address and order; secondly, distributing the service to online customer service; thirdly, customer service auditing is carried out, the audited order enters an order pool, and the returned order is reprocessed if the audited order does not pass; fourthly, dispatching orders in the order pool; then, the fifth step is that the master connects the orders; the sixth step is reserved by the master; then a seventh step master is installed in the door; fourthly, checking and selling after the installation is finished in the eighth step; then, in the ninth step, after the order is finished, checking and selling; and finally, the client settles the account to finish the installation work.
As a further preferable mode of the present invention, in step S3, the rule engine module is used for creating, querying, editing, deleting, etc. an order rule, which is a logical rule basis and a management library for order distribution, and an administrator initiates a change of a rule, which includes a new rule, a modification rule, and a deletion rule, and takes effect immediately after saving, and the rule type includes an intelligent electronic fence, a round value sequence, weight allocation, service satisfaction, shortest response time, closest distance, and the like.
Drawings
FIG. 1 is a diagram of a service platform architecture of the present invention;
FIG. 2 is a flow chart of the registration process of the present invention;
FIG. 3 is a flow chart of the order management operation of the present invention;
FIG. 4 is a flow chart of the intelligent algorithm operation of the present invention;
fig. 5 is a flowchart illustrating the operation of the authentication management module according to 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 embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a distribution method and a distribution device of an intelligent home order service platform comprise the intelligent home order service platform, wherein the intelligent home order service platform comprises an enterprise management module, an order management module, an intelligent algorithm module, a rule engine module and an authentication management module.
The distribution method comprises the following steps:
s1, registration: the enterprise management module is used for establishing and registering enterprise information, describes that a basic portrait enterprise of the enterprise initiates a registration application, is audited by an administrator after filling in data information and installation information of the enterprise, and is successfully established after the audit is passed; if the verification fails, the operation is returned and re-filled, and after the enterprise finishes the registration, the enterprise has the capability of issuing an order request and can develop the business;
s2, order management: the order management module is used for creating, inquiring, editing, deleting, assigning and the like of orders, and is a core logic of a whole service flow, wherein the core information flow carrier orders of the serial upstream and downstream services are core logics of the whole service flow;
s3, rules engine module function: the rule engine module is used for creating, inquiring, editing, deleting and the like of the order rule, is a logic rule basis and management library for order distribution, and an administrator initiates the change of the rule;
s4, intelligent algorithm module: the intelligent algorithm module is used for matching results meeting conditions at the highest speed according to selected rules to finish the optimal selection, the algorithm module mainly introduces an intelligent electronic fence algorithm, a range can be manually circled on a map when master workers are added, and the master workers can be matched preferentially when orders of the range are generated; firstly, when adding master information, the master manually defines a service range on a map; the second step algorithm module identifies longitude and latitude information of the key points and associates master, the algorithm module supports two modes of regular pattern accurate matching and irregular pattern fuzzy matching, wherein the regular pattern accurate matching is as follows: when a master manually defines a range on a map, the master stretches in a rectangular mode, and the latitude and longitude information of 4 corner points is extracted by an algorithm, such as N1(x1, y 1); wherein the irregular pattern fuzzy matching is as follows: a map manually drawn by a master on a map, an original contour track is reserved, the circumference is calculated, N point information is taken at equal distance along the line, wherein N can be set but cannot be smaller than 3, theoretically, the larger N is, the higher the precision is, then longitude and latitude information of N nodes is extracted, such as N1(x1, y1), N2(x2, y2), N3(x3, y3).. Nx (x, y), N2(x2, y2), N3(x3, y3), N4(x4, y4), and then the N is stored; when a new order is generated, the service address information of the order is taken out; the fourth step of converting the address information into specific longitude and latitude, obtaining the longitude and latitude information through reverse geocoding, such as G (a, b), the fifth step of rapidly matching the coincidence degree of S02 according to the longitude and latitude information in the fourth step, if the coincidence degree is matched, the intention service master is hit to two modes of the graph, the matching algorithm is the same, and the specific following steps are carried out:
g (a, b) represents address information of an order
Electronic fence key point set information manually drawn by N (x, y) code
Judging whether G is in the range, wherein Min (Nx) G (a) Max (Nx) must be satisfied; min (ny) < ═ g (b) < ═ max (ny);
that is, the longitude of the G point is greater than the minimum value of the key points of the electronic fence and less than the maximum value of the key points of the electronic fence; the dimensionality of the G point is larger than the minimum value of the key points of the electronic fence and smaller than the maximum value of the key points of the electronic fence; otherwise, the electronic fence can be considered to fall outside the electronic fence, if a plurality of service master information exists in the fifth step, the sixth step advances and preferably selects the best service master, preferably comprises the order receiving number, the satisfaction degree and the service response time of the master, and each factor has different weight, so that the best master is found out, and the method specifically comprises the following steps:
09. fifthly, selecting a master group, wherein each master group is provided with the maximum daily unit taking amount;
10. if the maximum order receiving quantity of the master in the day is exceeded, skipping the master, otherwise, entering the next step;
11. calculating a single-connected weight value, wherein S is 0.5 satisfaction +0.3 average response time +0.2 single-connected; the satisfaction degree is inversely proportional to the number of complained persons within 30 days, weight reduction coefficients are set according to the proportion, the best satisfaction degree is guided by a formula, and the fastest response time and the fastest labor intensity are balanced;
12. sequentially selecting a service master according to the order-receiving weight sequence;
seventh step, automatically distributing the order to the master and notifying the master by short message; after the eighth step master receives the order, the process is finished; if the master refuses the order and is allowed or the order is not received within time, sequentially selecting the next service master according to the sixth step; ninth, after the service is finished, receiving user evaluation, and recording the data of the master according to the feedback information;
s5, authentication management module: the method aims to ensure the legality of a master in home construction, the master checks the identity through face recognition and address positioning before construction, and can carry out formal construction after the identity is checked, so that the problem of counterfeit identity is solved to ensure the safety of users; firstly, an assigned master reaches a service area and punches a card on an APP; secondly, the rear end positions address information through a GPS and converts the address information into longitude and latitude, such as G _ S (a1, b 1); thirdly, obtaining service address information from the order and converting the service address information into longitude and latitude, such as G _ C (a2, b 2); fourthly, according to a service interval range set by a system, calculating longitude and latitude information of the service range, such as G _ F1(x1, y1), G _ F2(x2, y2), G _ F3(x3, y3) G _ F4(x4, y4), wherein G _ F is G _ C + the system setting interval value; fifthly, judging that if the G _ S is in the G _ F range, the card punching is successful, and opening a mobile phone camera to perform face recognition; and sixthly, comparing the face information with the static face information in the background database, wherein the algorithm is open source or a third party, if the face information passes the algorithm, the algorithm is considered as a legal master, if the face information fails, the algorithm is retried for 3 times, and if the face information fails to pass the algorithm, the construction request is rejected.
In step S1, the enterprise management module is used for creating and registering enterprise information, and describes that a basic portrait enterprise of the enterprise initiates a registration application, and when filling in information and installation information of the enterprise, the administrator checks the information, and after the checking is passed, the creation is successful; and if the verification fails, the business is returned and re-filled, the registered information at least comprises enterprise names, registrants, contact ways, account numbers, responsible persons, finance, address information, bank account numbers, installation service types, contract information, enterprise credit levels, enterprise blacklists and the like, and when the enterprise finishes the registration, the business can be developed only if the enterprise has the capability of issuing order requests.
In step S2, the order management module is used for creating, querying, editing, deleting, assigning, etc. an order is a core logic of a core information stream carrier of the serial upstream and downstream services, where the order is a core logic of the entire service stream; firstly, the first step is to place an order by an enterprise, namely to create order information, which at least comprises customer information: customer name, contact information, installation time, customer address and order; secondly, distributing the service to online customer service; thirdly, customer service auditing is carried out, the audited order enters an order pool, and the returned order is reprocessed if the audited order does not pass; fourthly, dispatching orders in the order pool; then, the fifth step is that the master connects the orders; the sixth step is reserved by the master; then a seventh step master is installed in the door; fourthly, checking and selling after the installation is finished in the eighth step; then, in the ninth step, after the order is finished, checking and selling; and finally, the client settles the account to finish the installation work.
In step S3, the rule engine module is used for creating, querying, editing, deleting, etc. the rules are logic rule bases and management libraries for order distribution, and the administrator initiates changes of the rules, including adding, modifying, and deleting rules, and the rules take effect immediately after being stored, and the rule types include an intelligent electronic fence, a round order, weight distribution, service satisfaction, shortest response time, closest distance, etc.
In summary, the invention provides a complete informatization system method by aiming at the service installation of the intelligent household equipment, and achieves the purposes of intelligent matching and full utilization of the capacity resource base by an automatic order dispatching method, so that the communication efficiency can be effectively improved, the problems of long installation period, service satisfaction and safety are better solved, meanwhile, the platform serves various large power suppliers, equipment suppliers and service installation groups, and finally, higher user experience is brought to customers, the whole process is implemented very smoothly and reasonably, and the practicability is stronger in application.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (5)
1. The intelligent household order service platform device is characterized by comprising an intelligent household order service platform, wherein the intelligent household order service platform comprises an enterprise management module, an order management module, an intelligent algorithm module, a rule engine module and an authentication management module; the enterprise management module is used for creating and registering enterprise information, and the order management module is used for creating, inquiring, editing, deleting and assigning orders; the intelligent algorithm module is used for matching the result meeting the conditions according to the selected rule, the rule engine module is used for dispatching the creation, inquiry, editing and deletion of the rule, and the authentication management module is used for authenticating the validity of an upper constructor.
2. The distribution method of the intelligent home order service platform according to claim 1, wherein the distribution step comprises the following steps:
s1, registration: the enterprise management module is used for establishing and registering enterprise information, describes that a basic portrait enterprise of the enterprise initiates a registration application, is audited by an administrator after filling in data information and installation information of the enterprise, and is successfully established after the audit is passed; if the verification fails, the operation is returned and re-filled, and after the enterprise finishes the registration, the enterprise has the capability of issuing an order request and can develop the business;
s2, order management: the order management module is used for creating, inquiring, editing, deleting and assigning orders, and is the core logic of the whole service flow, wherein the orders are the core information flow carrier orders of the serial upstream and downstream services;
s3, rules engine module function: the rule engine module is used for creating, inquiring, editing and deleting the order rule, is a logic rule basis and management library for order distribution, and an administrator initiates the change of the rule;
s4, intelligent algorithm module: the intelligent algorithm module is used for matching results meeting conditions at the highest speed according to selected rules to finish the optimal selection, the algorithm module mainly introduces an intelligent electronic fence algorithm, a range can be manually circled on a map when master workers are added, and the master workers can be matched preferentially when orders of the range are generated; firstly, when adding master information, the master manually defines a service range on a map; the second step algorithm module identifies longitude and latitude information of the key points and associates master, the algorithm module supports two modes of regular pattern accurate matching and irregular pattern fuzzy matching, wherein the regular pattern accurate matching is as follows: when a master manually defines a range on a map, the master stretches in a rectangular mode, and the latitude and longitude information of 4 corner points is extracted by an algorithm, such as N1(x1, y 1); wherein the irregular pattern fuzzy matching is as follows: a map manually drawn by a master on a map, an original contour track is reserved, the perimeter is calculated, N point information is taken along a line distance, wherein N can be set but cannot be smaller than 3, theoretically, the greater N is, the higher the precision is, then longitude and latitude information of N nodes is extracted, such as N1(x1, y1), N2(x2, y2), N3(x3, y3).. Nx (x, y), N2(x2, y2), N3(x3, y3), N4(x4, y4), and then the N is stored; when a new order is generated, the service address information of the order is taken out; the fourth step of converting the address information into specific longitude and latitude, obtaining the longitude and latitude information through reverse geocoding, such as G (a, b), the fifth step of rapidly matching the coincidence degree of S02 according to the longitude and latitude information in the fourth step, if the coincidence degree is matched, the intention service master is hit to two modes of the graph, the matching algorithm is the same, and the specific following steps are carried out:
g (a, b) represents address information of an order
Electronic fence key point set information manually drawn by N (x, y) code
Judging whether G is in the range, wherein Min (Nx) G (a) Max (Nx) must be satisfied; min (ny) < ═ g (b) < ═ max (ny);
that is, the longitude of the G point is greater than the minimum value of the key points of the electronic fence and less than the maximum value of the key points of the electronic fence; the dimensionality of the G point is larger than the minimum value of the key points of the electronic fence and smaller than the maximum value of the key points of the electronic fence; otherwise, the electronic fence can be considered to fall outside the electronic fence, if a plurality of service master information exists in the fifth step, the sixth step advances and preferably selects the best service master, preferably comprises the order receiving number, the satisfaction degree and the service response time of the master, and each factor has different weight, so that the best master is found out, and the method specifically comprises the following steps:
01. fifthly, selecting a master group, wherein each master group is provided with the maximum daily unit taking amount;
02. if the maximum order receiving quantity of the master in the day is exceeded, skipping the master, otherwise, entering the next step;
03. calculating a single-connected weight value, wherein S is 0.5 satisfaction +0.3 average response time +0.2 single-connected; the satisfaction degree is inversely proportional to the number of complained persons within 30 days, weight reduction coefficients are set according to the proportion, the best satisfaction degree is guided by a formula, and the fastest response time and the fastest labor intensity are balanced;
04. sequentially selecting a service master according to the order-receiving weight sequence;
seventh step, automatically distributing the order to the master and notifying the master by short message; after the eighth step master receives the order, the process is finished; if the master refuses the order and is allowed or the order is not received within time, sequentially selecting the next service master according to the sixth step; ninth, after the service is finished, receiving user evaluation, and recording the data of the master according to the feedback information;
s5, authentication management module: the method aims to ensure the legality of a master in home construction, the master checks the identity through face recognition and address positioning before construction, and can carry out formal construction after the identity is checked, so that the problem of counterfeit identity is solved to ensure the safety of users; firstly, an assigned master reaches a service area and punches a card on an APP; secondly, the rear end positions address information through a GPS and converts the address information into longitude and latitude, such as G _ S (a1, b 1); thirdly, obtaining service address information from the order and converting the service address information into longitude and latitude, such as G _ C (a2, b 2); fourthly, according to a service interval range set by a system, calculating longitude and latitude information of the service range, such as G _ F1(x1, y1), G _ F2(x2, y2), G _ F3(x3, y3) G _ F4(x4, y4), wherein G _ F is G _ C + the system setting interval value; fifthly, judging that if the G _ S is in the G _ F range, the card punching is successful, and opening a mobile phone camera to perform face recognition; and sixthly, comparing the face information with the static face information in the background database, wherein the algorithm is open source or a third party, if the face information passes the algorithm, the algorithm is considered as a legal master, if the face information fails, the algorithm is retried for 3 times, and if the face information fails to pass the algorithm, the construction request is rejected.
3. The distributing method of the intelligent home order service platform according to claim 2, wherein in step S1, the enterprise management module is used for creating and registering enterprise information, which describes that a basic image enterprise of an enterprise initiates a registration application, and when filling in information and installation information of the enterprise, the administrator checks the information, and the creation is successful after the checking is passed; and if the verification fails, the business is returned and re-filled, the registered information at least comprises enterprise names, registrants, contact ways, accounts, responsible persons, finance, address information, bank accounts, installation service types, contract information, enterprise credit levels and enterprise blacklists, and after the enterprise finishes the registration, the business can be developed only if the enterprise has the capability of issuing order requests.
4. The distribution method of the intelligent home order service platform according to claim 2, wherein in step S2, the order management module is used for creating, querying, editing, deleting, and assigning orders, and the order is a core logic of a core information flow carrier of the serial upstream and downstream services, the core logic being a core of the entire service flow; firstly, the first step is to place an order by an enterprise, namely to create order information, which at least comprises customer information: customer name, contact information, installation time, customer address and order; secondly, distributing the service to online customer service; thirdly, customer service auditing is carried out, the audited order enters an order pool, and the returned order is reprocessed if the audited order does not pass; fourthly, dispatching orders in the order pool; then, the fifth step is that the master connects the orders; the sixth step is reserved by the master; then a seventh step master is installed in the door; fourthly, checking and selling after the installation is finished in the eighth step; then, in the ninth step, after the order is finished, checking and selling; and finally, the client settles the account to finish the installation work.
5. The distribution method of the intelligent home order service platform according to claim 2, wherein in step S3, the rule engine module is used for creating, querying, editing and deleting an order rule, and is a logic rule basis and management library for order distribution, and an administrator initiates a rule change including an addition rule, a modification rule and a deletion rule, and the rule change takes effect immediately after storage, and the rule types include an intelligent electronic fence, a round value sequence, weight distribution, service satisfaction, shortest response time and shortest distance.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114399070A (en) * | 2022-03-28 | 2022-04-26 | 广州市普丰科技有限公司 | Self-selection position mounting system for sanitary ware sale |
| CN114943357A (en) * | 2022-07-22 | 2022-08-26 | 萨科(深圳)科技有限公司 | Home decoration service order processing method, device, equipment and storage medium |
| CN116245536A (en) * | 2023-05-09 | 2023-06-09 | 深圳市小亿网络有限公司 | Self-service after-sale service method, device, equipment and medium |
| CN117151431A (en) * | 2023-10-30 | 2023-12-01 | 四川省致链数字科技有限公司 | Automatic distribution method and system for wooden furniture order tasks |
Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105005577A (en) * | 2015-05-08 | 2015-10-28 | 裴克铭管理咨询（上海）有限公司 | Address matching method |
| US20150319614A1 (en) * | 2014-05-02 | 2015-11-05 | Samsung Electronics Co., Ltd. | Electronic device and method for providing service information |
| US20160239903A1 (en) * | 2015-02-12 | 2016-08-18 | Cloudcar, Inc. | System and method for efficient order fulfillment using real-time location data |
| CN106228419A (en) * | 2016-07-13 | 2016-12-14 | 深圳市拓源天创实业发展有限公司 | A kind of order processing method and system |
| CN106557873A (en) * | 2016-11-17 | 2017-04-05 | 广州智通供应链管理有限公司 | A kind of electric business house ornamentation terminal network method for optimizing scheduling |
| US20170161678A1 (en) * | 2015-12-02 | 2017-06-08 | Wal-Mart Stores, Inc. | Method and system to support order collection using a geo-fence |
| CN107292405A (en) * | 2017-08-16 | 2017-10-24 | 倪润坤 | Electric appliances service online order platform |
| CN107563530A (en) * | 2017-07-28 | 2018-01-09 | 武汉依迅北斗空间技术有限公司 | Removal of home vehicle call request method for pushing and system based on fence |
| CN107886241A (en) * | 2017-11-10 | 2018-04-06 | 北京三快在线科技有限公司 | Resource analysis method, apparatus, medium and electronic equipment |
| CN108108929A (en) * | 2016-11-25 | 2018-06-01 | 北京京东尚科信息技术有限公司 | A kind of method and system of the very fast installation of household electrical appliances |
| CN108205710A (en) * | 2018-01-22 | 2018-06-26 | 深圳市维修巴巴网络技术有限公司 | A kind of high Maintenance Management System of security performance |
| US20180268370A1 (en) * | 2017-03-14 | 2018-09-20 | Konnekti, Inc. | System and method of optimizing the routing and delivery of services and goods, and notifications related to same |
| CN109165762A (en) * | 2018-10-16 | 2019-01-08 | 深圳市丰巢科技有限公司 | A kind of reserving method of maintenance service, device, equipment and storage medium |
| CN109299386A (en) * | 2018-11-12 | 2019-02-01 | 北京航天智造科技发展有限公司 | A kind of furniture industry designer resource intelligent search matching method and system |
| CN109657955A (en) * | 2018-12-10 | 2019-04-19 | 新疆信息产业有限责任公司 | The management method that work order is distributed and evaluated |
| CN109992633A (en) * | 2019-02-20 | 2019-07-09 | 北京三快在线科技有限公司 | Method, apparatus, electronic equipment are determined based on the geography fence of user location |
| CN110084680A (en) * | 2019-04-27 | 2019-08-02 | 程江河 | A kind of quick lookup on-sites install the method and system of maintenance service |
| CN110188913A (en) * | 2019-03-14 | 2019-08-30 | 杭州恋家网络科技有限公司 | A kind of finishing Order splitting algorithm |
| CN111027867A (en) * | 2019-12-12 | 2020-04-17 | 蚁安居(天津)网络技术有限公司 | Automatic ordering system and order tracking system for home service |
| CN111160856A (en) * | 2019-12-20 | 2020-05-15 | 武汉市奥拓智能科技有限公司 | Dispatching method, system, client, server and storage medium |
| CN111311212A (en) * | 2020-02-25 | 2020-06-19 | 深圳市一诺达科技有限公司 | Order whole-network distribution system and business mode thereof |
-
2020
- 2020-12-17 CN CN202011495484.3A patent/CN113610587B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150319614A1 (en) * | 2014-05-02 | 2015-11-05 | Samsung Electronics Co., Ltd. | Electronic device and method for providing service information |
| US20160239903A1 (en) * | 2015-02-12 | 2016-08-18 | Cloudcar, Inc. | System and method for efficient order fulfillment using real-time location data |
| CN105005577A (en) * | 2015-05-08 | 2015-10-28 | 裴克铭管理咨询（上海）有限公司 | Address matching method |
| US20170161678A1 (en) * | 2015-12-02 | 2017-06-08 | Wal-Mart Stores, Inc. | Method and system to support order collection using a geo-fence |
| CN106228419A (en) * | 2016-07-13 | 2016-12-14 | 深圳市拓源天创实业发展有限公司 | A kind of order processing method and system |
| CN106557873A (en) * | 2016-11-17 | 2017-04-05 | 广州智通供应链管理有限公司 | A kind of electric business house ornamentation terminal network method for optimizing scheduling |
| CN108108929A (en) * | 2016-11-25 | 2018-06-01 | 北京京东尚科信息技术有限公司 | A kind of method and system of the very fast installation of household electrical appliances |
| US20180268370A1 (en) * | 2017-03-14 | 2018-09-20 | Konnekti, Inc. | System and method of optimizing the routing and delivery of services and goods, and notifications related to same |
| CN107563530A (en) * | 2017-07-28 | 2018-01-09 | 武汉依迅北斗空间技术有限公司 | Removal of home vehicle call request method for pushing and system based on fence |
| CN107292405A (en) * | 2017-08-16 | 2017-10-24 | 倪润坤 | Electric appliances service online order platform |
| CN107886241A (en) * | 2017-11-10 | 2018-04-06 | 北京三快在线科技有限公司 | Resource analysis method, apparatus, medium and electronic equipment |
| CN108205710A (en) * | 2018-01-22 | 2018-06-26 | 深圳市维修巴巴网络技术有限公司 | A kind of high Maintenance Management System of security performance |
| CN109165762A (en) * | 2018-10-16 | 2019-01-08 | 深圳市丰巢科技有限公司 | A kind of reserving method of maintenance service, device, equipment and storage medium |
| CN109299386A (en) * | 2018-11-12 | 2019-02-01 | 北京航天智造科技发展有限公司 | A kind of furniture industry designer resource intelligent search matching method and system |
| CN109657955A (en) * | 2018-12-10 | 2019-04-19 | 新疆信息产业有限责任公司 | The management method that work order is distributed and evaluated |
| CN109992633A (en) * | 2019-02-20 | 2019-07-09 | 北京三快在线科技有限公司 | Method, apparatus, electronic equipment are determined based on the geography fence of user location |
| CN110188913A (en) * | 2019-03-14 | 2019-08-30 | 杭州恋家网络科技有限公司 | A kind of finishing Order splitting algorithm |
| CN110084680A (en) * | 2019-04-27 | 2019-08-02 | 程江河 | A kind of quick lookup on-sites install the method and system of maintenance service |
| CN111027867A (en) * | 2019-12-12 | 2020-04-17 | 蚁安居(天津)网络技术有限公司 | Automatic ordering system and order tracking system for home service |
| CN111160856A (en) * | 2019-12-20 | 2020-05-15 | 武汉市奥拓智能科技有限公司 | Dispatching method, system, client, server and storage medium |
| CN111311212A (en) * | 2020-02-25 | 2020-06-19 | 深圳市一诺达科技有限公司 | Order whole-network distribution system and business mode thereof |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114399070A (en) * | 2022-03-28 | 2022-04-26 | 广州市普丰科技有限公司 | Self-selection position mounting system for sanitary ware sale |
| CN114943357A (en) * | 2022-07-22 | 2022-08-26 | 萨科(深圳)科技有限公司 | Home decoration service order processing method, device, equipment and storage medium |
| CN116245536A (en) * | 2023-05-09 | 2023-06-09 | 深圳市小亿网络有限公司 | Self-service after-sale service method, device, equipment and medium |
| CN116245536B (en) * | 2023-05-09 | 2023-08-08 | 深圳市小亿网络有限公司 | Self-service after-sale service method, device, equipment and medium |
| CN117151431A (en) * | 2023-10-30 | 2023-12-01 | 四川省致链数字科技有限公司 | Automatic distribution method and system for wooden furniture order tasks |
| CN117151431B (en) * | 2023-10-30 | 2024-01-26 | 四川省致链数字科技有限公司 | Automatic distribution method and system for wooden furniture order tasks |
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