CN105913279B

CN105913279B - Service cost budget system based on mobile internet service application

Info

Publication number: CN105913279B
Application number: CN201610217510.3A
Authority: CN
Inventors: 胡荣强
Original assignee: Sichuan Hexin Yuanchuang Labor Co ltd
Current assignee: SICHUAN HEXIN YUANCHUANG LABOR Co.,Ltd.
Priority date: 2016-04-08
Filing date: 2016-04-08
Publication date: 2020-12-08
Anticipated expiration: 2036-04-08
Also published as: CN105913279A

Abstract

A service charge budgeting system based on a mobile Internet service application realized by both a client terminal mounted on a mobile Internet terminal and a server terminal including a server and a system management terminal, the charge budgeting system storing estimated service charge information at the server in combination with demand data information in an image formed by the server from the demand data information, and the server adding a watermark derived from the generated image to the image in a manner invisible to the naked eye, so that the client terminal can learn budget information of service charge for a desired service by receiving the watermarked image.

Description

Service cost budget system based on mobile internet service application

Technical Field

The invention relates to a service cost budget system, in particular to a service cost budget system based on mobile internet service application.

Background

Publishing and searching service information on the internet is an important requirement of netizens. The service information includes various information for providing services and demands related to work and life, such as information for home services and demands, information for training services and demands, house renting information, and recruitment information.

Currently, when a netizen publishes service information and searches the service information on a service information publishing website, the netizen hopes to publish the service information or obtain nearby service information based on a mobile terminal anytime and anywhere, so that all services are more convenient, efficient and high-quality, service cost is saved, social resources are utilized more reasonably and efficiently, and meanwhile, the netizen hopes to obtain service cost budget of required services, so that a proper service plan is formulated according to self requirements.

Chinese patent expense budgeting system and method (application number: 200410026590.1) discloses that the system includes a plurality of client computers, a network, a budgeting server and a database. The client computer provides a graphical user interface for the user to input the basic personnel data and the expense code data, and receives the expense data of a certain department in a certain time period, wherein the expense data comprises personnel pay bit codes and pay codes thereof, product packaging expense codes, transportation expense codes, storage expense codes and daily expense codes. The budget server is used for maintaining basic information of personnel and expense codes, and the database is used for storing relevant information of all departments in the enterprise. The cost budgeting system can only budget under the condition of determining the cost of an enterprise, and can not complete the cost budget under the condition of existence of a cost variable.

Disclosure of Invention

In view of the disadvantages of the prior art, the present invention provides a service charge budgeting system based on a mobile internet service application, which is implemented by both a client mounted on a mobile internet terminal and a server including a server and a system management terminal, the charge budgeting system storing estimated service charge information at the server in an image formed by the server according to demand data information in combination with the demand data information, and the server adding a watermark originating from the generated image to the image in a manner invisible to the naked eye, so that the client can learn budget information for service charges for a desired service by receiving the watermarked image.

According to a preferred embodiment, said watermarking step comprises at least: collecting at least one local characteristic point from the image to be added with the watermark as a positioning point; determining a watermark adding area of the image according to the collected positioning points; generating a watermark matrix by using the secret key; and adding the watermark to the watermark adding area selected by the image based on the generated watermark matrix.

According to a preferred embodiment, the anchor point is the center point of the region with the largest color proportion in the image to be watermarked.

According to a preferred embodiment, the cost budget is to complete the analysis processing of the service demand data through the demand data management unit based on the service demand data uploaded to the server by the demand data acquisition unit, complete the matching with the service information in the service information unit based on the analysis result of the demand data, estimate the service cost of the service required in the service demand data, and store the estimated service cost in the server;

the analysis processing of the service requirement data is that a lexical analyzer of a requirement data management unit classifies information related to requirement data according to time, place, service category and service personnel, so that a service place, service time, service item type and service providing user level of service required by a service requirement user are extracted, and the service requirement data at least comprises three elements of four information elements of the service place, the service time, the service item type and the service providing user level.

According to a preferred embodiment, when the analysis result of the demand data management unit on the service demand data only includes a service location, a service item type and a service time, the data management unit completes matching with the service information in the service information unit based on the service location, the service item type and the service time in the analysis result, and completes service charge estimation related to the service in the service demand data with the service providing user level as a variable.

According to a preferred embodiment, when the analysis result of the demand data management unit on the service demand data only includes the service item type, the service time and the service providing user grade, the data management unit completes matching with the service information in the service information unit based on the service item type, the service time and the service providing user grade in the analysis result, and completes service cost estimation related to the service in the service demand data with the service location as a variable.

According to a preferred embodiment, when the analysis result of the demand data management unit on the service demand data includes a service location, a service item type, a service time and a service providing user level, the data management unit completes matching based on the service location, the service item type, the service time and the service providing user level in the analysis result and the service information in the service information unit, and completes service charge estimation related to the service in the service demand data.

According to a preferred embodiment, the client acquires personal attribute data and/or demand data, geographical location data and data or instructions related to service inquiry service of a service demand user based on a man-machine interaction technology, and sends the data or instructions to the server through the Internet;

the system management terminal establishes a first mapping table and a second mapping table based on geographical position data, attribute data and/or demand data uploaded to the server by a service demand user;

the system management terminal completes updating of the first mapping table and the second mapping table based on data or instructions which are uploaded to the server by the service demand user and are related to the service inquiry of the service demand user;

the system management terminal matches at least one service providing user in an interactive matching mode based on the updated first mapping table and the updated second mapping table;

and the system management terminal feeds back data information containing the updated geographic position data, the updated attribute data and/or the updated demand data and the matched at least one service providing user list as service information to a service demand user client mounted on the mobile internet terminal.

According to a preferred embodiment, the system management side establishes a first mapping table and a second mapping table based on attribute data and/or demand data and geographical location data uploaded to the server by the service demand users, wherein the first mapping table includes the geographical location data and at least one service providing user list matched based on the geographical location data, and the second mapping table includes the attribute data and/or demand data and at least one service providing user list matched based on the attribute data and/or demand data.

According to a preferred embodiment, the system management terminal extracts and/or updates the geographic location data, the attribute data and/or the demand data of the user based on the data or the instruction which is uploaded to the server by the service demand user and related to the query service, so as to complete the updating of the first mapping table and the second mapping table.

The service evaluation system based on the mobile internet service application provided by the invention at least has the following advantages:

1. the service cost budget system based on the mobile internet service application realizes the service cost budget of the required service, and is beneficial to users with service requirements to formulate a proper service plan according to the self requirements.

2. The service cost budget system based on the mobile internet service application realizes the watermark adding processing of the image containing the service cost budget information, avoids the possibility that the service budget information is modified in the transmission process, and avoids disputes between service providing users and service requiring users caused by the truth and falsity of the service budget information.

3. The mobile internet service application of the invention makes it possible for the service demand user to quickly and efficiently receive the service provided by other users, and makes it possible for the service providing user to efficiently and quickly provide the service for other users. Each user exists in the society, and can serve the society while needing the society to provide services for the user, all services are more convenient, efficient and high-quality through the mobile internet service application, the service cost is saved, and meanwhile, the mobile internet service application is a more reasonable utilization of social resources.

Drawings

FIG. 1 is a schematic block diagram of the system of the present invention;

FIG. 2 is a flow chart of service information matching of the present invention;

fig. 3 is a schematic illustration of the first mapping table, the second mapping table creation and the first mapping table and the second mapping table update of the mobile internet service application of the present invention; and

FIG. 4 is a service order taking flow diagram of the present invention.

List of reference numerals

101: the client 101 a: individual unit 101 b: demand data acquisition unit

101 c: the payment unit 102: the server 103: system management terminal

103 a: the user management unit 103 b: service information unit 103 c: data matching unit

103 d: the demand data management unit 103 e: financial management unit

201: geographic position data 202: user information

203: updated geographic location data 204: first mapping table

205: updated first mapping table 206: attribution data and/or requirement data

207: updated attribute data and/or requirements data 208: second mapping table

209: updated second mapping table 210: service information

S01: service requirement user ordering S02: system order matching

S02 a: flow ends S03: nearby 5 service providing users receive orders

S03 a: no reversion to S03b within 60 seconds: re-matching nearby service providing users

S04: receive order S05: contacting a service requirement user

S06: carrying the work necessities to the service requirement user S07: start of operation

S08: end of work S09: service requirement user acceptance

S09 a: reject S09 b: reworking

S10: acceptance pass S11: service requirement user payment

S11 a: background process S12: end of service

Detailed Description

The following detailed description is made with reference to the accompanying drawings and examples.

The functional modules included in the mobile internet service application of the present invention are described with reference to fig. 1 and 2. The mobile internet service application of the invention is a network configuration which is based on the mutual matching or organization of the mobile internet terminal to the user geographic position data, the attribute data and/or the demand data 206, and is used for providing data matching and screening service to meet the demand and expectation of the user.

The mobile internet service application comprises a client 101 and a server which are mounted on a mobile internet terminal. The server side comprises a server 102 and a system management side 103. The client 101 comprises a personal unit 101a for submitting or uploading user personal attribute data and geographic location data to the server 102, a demand data acquisition unit 101b for submitting or uploading user demand data to the service 102, and a payment unit 101 c. The system management terminal 103 comprises a user management unit 103a, a service information unit 103b, a data matching unit 103c, a demand data management unit 103d and a financial management unit 103 e.

The mobile internet service application is realized by both a client 101 mounted on a mobile internet terminal and a server including a server 102 and a system management terminal 103. The fee budgeting system stores estimated service fee information at the server 102 in combination with demand data information in an image formed by the server 102 from the demand data information, and the server 102 adds a watermark derived from the generated image to the image in a manner invisible to the naked eye, so that the client 101 can learn budget information for service fees for a desired service by receiving the watermarked image.

The cost budget is that the demand data management unit 103d completes analysis processing of the service demand data based on the service demand data uploaded to the server 102 by the demand data acquisition unit 101b, completes matching with the service information in the service information unit 103b based on an analysis result of the demand data, estimates the service cost of the service required in the service demand data, and stores the estimated service cost in the server 102.

The parsing process of the service demand data is that a lexical analyzer of the demand data management unit 103d classifies information related to the demand data according to time, place, service category, and service person, thereby extracting a service place, service time, service item category, and service providing user level of a service required by a service demand user. And the service demand data at least comprises three elements of four information elements of service place, service time, service item category and service providing user level.

When the analysis result of the demand data management unit 103d on the service demand data only includes the service location, the service item type, and the service time, the data management unit 103d completes matching with the service information in the service information unit 103b based on the service location, the service item type, and the service time described in the analysis result, and completes service cost estimation related to the service in the service demand data with the service providing user level as a variable.

When the analysis result of the demand data management unit 103d on the service demand data only includes the service location, the service item type, and the service providing user level, the data management unit 103d completes matching with the service information in the service information unit 103b based on the service location, the service item type, and the service providing user level described in the analysis result, and completes service cost estimation related to the service in the service demand data with the service time as a variable.

When the analysis result of the demand data management unit 103d on the service demand data only includes the service location, the service time, and the service providing user class, the data management unit 103d completes matching with the service information in the service information unit 103b based on the service location, the service time, and the service providing user class described in the analysis result, and completes service cost estimation related to the service in the service demand data with the service item class as a variable.

When the analysis result of the demand data management unit 103d on the service demand data only includes the service item type, the service time, and the service providing user level, the data management unit 103d completes matching with the service information in the service information unit 103b based on the service item type, the service time, and the service providing user level in the analysis result, and completes service cost estimation related to the service in the service demand data with the service location as a variable.

When the analysis result of the demand data management unit 103d on the service demand data includes a service location, a service item type, service time, and a service providing user level, the data management unit 103d completes matching with the service information in the service information unit 103b based on the service location, the service item type, the service time, and the service providing user level in the analysis result, and completes service cost estimation related to the service in the service demand data.

The analysis result of the service requirement data comprises requirements of service places, service item types, service time, service providing user grades and the like. The service location information at least comprises cities and streets where the required services are located. Based on different charges of different cities, the demand data management unit 103 performs first-line city, second-line city, third-line city and fourth-line city division on the specific city where the required service is located. Based on different charges of different areas of the same city, the demand data management unit 103 divides the required service into different areas based on the city street where the required service is located. The service time information includes at least a required service time point and a required service time period. The service time for the demand data management unit 103 to complete the required service based on the required service time point is in the normal working period or the abnormal working period based on different charging situations of different time periods.

The service information in the service information section element 103b includes charge information for different service items, charge information for different service time points, charge information for different areas in different cities, and charge information for different classes of service providing users.

The watermarking process for the image containing the service demand data and the service budget information comprises the following steps: collecting at least one local characteristic point from the image to be added with the watermark as a positioning point; determining a watermark adding area of the image according to the collected positioning points; generating a watermark matrix by using the secret key; and adding the watermark to the watermark adding area selected by the image based on the generated watermark matrix.

In the process of collecting the local feature points of the image to be added with the watermark as the positioning points, the acquisition can be realized according to the existing feature algorithms, such as Harris corner points, SIFT (Scale invariant feature transform) algorithm, MSER algorithm and the like.

And determining a watermark adding area of the image according to the collected positioning points. The watermark adding area is composed of a plurality of watermark adding area blocks and can be determined according to the number of watermarks to be added and the size of the image. The shape of the block of the watermarking region is not limited, such as circular, rectangular, etc. According to a preferred real-time mode, each watermark adding area block is set to be square, the side length of each watermark adding area block can be set according to the number of watermarks to be added and the size of an image, and each local feature point is used as the center. To comply with the wavelet transform, the side length of each watermarking region block may be an exponential multiple of 2, e.g., 4, 8, 16, 32, etc.

Further, in order to guarantee invisibility of the added watermark, it can be implemented by:

the collected locating point is the central point of the area with the largest color proportion in the image to be added with the watermark, and meanwhile, in the watermark adding area determined by the image, the watermark adding area block with the white area proportion larger than the threshold value is discarded. The white area ratio refers to the ratio of the white area in the whole watermark adding area block, and the threshold may be set as required, such as 0.6.

In order to ensure that the watermark blocks do not interfere with each other and have enough watermark adding area blocks, one of the two watermark adding area blocks with the center distance smaller than the threshold value can be discarded. That is, of all the watermark adding region blocks, the watermark adding region blocks overlapping each other by a threshold value or more are selected as much as possible to constitute the watermark adding region. The threshold may be determined according to actual conditions, and the application is not limited to this.

A watermark matrix conforming to a normal distribution is generated using the secret key. The key is a preset unique identification code for different images or different types of images, and can be directly acquired when in use. The demand data management unit 103d obtains different images based on different demand data and different budgeted fees. The key is used for generating different and unique watermark matrixes according to different images. Meanwhile, the data acquiring management unit 103d adds the watermark to the selected watermark adding area according to the generated watermark matrix, and completes the watermark adding process of the image including the demand data, the cost budget information and the service platform mark, thereby avoiding the possibility that the image including the cost budget information is modified in the transmission process, and avoiding dispute between the service demand user and the service providing user in service cost budget.

The mobile internet service application of the invention also comprises a service evaluation system. The service evaluation system comprises reaction enthusiasm score evaluation, service work efficiency score evaluation, service quality score evaluation and service quality comment. The time that the service providing user receives the service requirement data until the client 101 of the service requiring user first receives the identification data of the service providing user is the service response time. Meanwhile, the system management end 103 stores the service response time in the server 102. After the identification data receives a service order containing demand data for the service providing user, the two-dimensional code containing service demand data information and providing user personal data is pushed to the client 101 of the service providing user by the system management terminal 103. The service demand user can complete the identity verification of the service provider based on the personal data of the service providing user in the identification data.

The service providing user confirms that the time from the start of service item to the end of service item is the service working time. And the system management end 103 stores the service working time in the server 102.

The system management terminal 103 judges whether the service response time exceeds a response time threshold value based on the service demand user and the service provision user geographical position data, thereby completing the response enthusiasm score evaluation. The reaction time threshold is the time required for the electronic map of the mobile terminal to reach the destination by taking the bus route and walking based on the position information matching of the service demand user and the service providing user.

The data matching unit 103c of the system management end 103 matches out the service items required by the service demand users based on the demand data of the service demand users. Service item time prediction is done by the service information unit 103 b. And the predicted time is located as the working time threshold. The service work efficiency score evaluation is completed by the user management unit 103a judging whether the service work time exceeds the work time threshold.

The service information unit 103b of the system management end 103 pushes the service item flow, the quality control standard, or the industry service standard matched by the data matching unit 103c to the service requirement user client 101. The service demand user completes service providing user service quality score evaluation and service quality comment on the demand data acquisition unit 101b of the client 101 based on a service item flow, a quality control standard or an industry service standard.

The user management unit 103a of the system management terminal 103 completes service provision user service comprehensive score evaluation based on the reaction enthusiasm score evaluation, the service work efficiency score evaluation and the service quality score evaluation, and the weighting factor of the reaction enthusiasm score evaluation, the weighting factor of the service work efficiency score evaluation and the weighting factor of the service quality score evaluation. The comprehensive score evaluation and the service quality comment of the service providing user are stored in the server 102, are shown in the individual unit 101a of the service providing user client 101, and cannot be modified by the service providing user.

The service demand user can communicate with the client 101 through the mobile internet terminal based on a human-computer interaction technology. The client 101 may collect user personal attribute data and/or demand data 206, geographic location data 201, and data or instructions related to query services and/or providing services for service demand users based on human-computer interaction technology, and send the data or instructions to the server 102 through the internet. The mobile internet terminal comprises a smart phone, a notebook computer and a tablet computer. The man-machine interaction technology comprises but is not limited to that a user completes communication with the mobile internet terminal through a keyboard, a mouse and a display screen. The man-machine interaction technology comprises but is not limited to touch screen technology, voice processing technology and somatosensory motion recognition technology.

The client 101 can be used by both the service demand user and the service providing user. The service requirement user can collect the user information 202 of the service requirement user based on the personal unit 101a of the client 101 and send the collected information to the server 102 for storage. The service requirement user information 202 includes a service requirement user name, a telephone number, a common address and a real-time address. The common geographical location is a home address or an office address of the user. The real-time address is used for acquiring the geographic position data by the mobile internet terminal based on GPS, ibeacon, wifi, Bluetooth and a mobile communication network. The personal unit 101a also includes a function of receiving a mobile internet service application prompt, which is used to view system push messages and history messages, and can set the type of received messages and the reminding mode. The personal unit 101a also has an account balance prompting function for displaying the current account value balance of the user. The personal unit 101a also has a function of managing and displaying coupons, which can be used to check currently available coupons and used coupons, and the currently available coupons adopt random coupon codes as labels.

The demand data collection unit 101b of the client 101 may be configured to view a current demand order status and historical demand information. The demand data collection unit 101b may be configured to submit or upload user personal common demand data and real-time demand data to the server 102. The demand data acquisition unit 101b may count general demand data of a service demand user according to historical demand information, where the general demand data is a general service item required by the user, and the general demand data includes a training service item, a medical service item, and a home service item. The service requirement user completes requirement data filling and submission in the requirement data acquisition unit 101 b. The filled data content comprises required service items, service addresses, service time and service providing user grades. According to a preferred embodiment, the service demand user can also select the service type and the pricing mode according to the service demand of the user and the price reference system provided by the system. After determining the service type and the pricing model, the demand data collection unit 101b displays the information 202 of the related service providing users online nearby in a list manner, and the service requiring user can click on to view the detailed information of the service providing user, and can specify the service providing user to place an order or make an order for the service providing user. The service providing user detailed information includes a type of service to be provided, a service level, and a time period for which an order has been accepted. Meanwhile, the demand data acquisition unit 101b may also display the location of the online service providing user near the service demand user in the form of a map, and click on the avatar to view the detailed information of the service providing user, and may specify the service providing user to place an order or make an appointment for the user to place an order. The customer service request user can confirm the current request order from the request data collecting unit 101b to start the time counting and end the current order.

The service demand user can refer to the history demand information through the demand data acquisition unit 101b, and the history demand information is presented in a list form from near to far according to the date of the present. The historical demand information content comprises demand information generation date, demand service type, tariff condition, service satisfaction and service providing user contact information. According to a preferred embodiment, the service requirement user can select a satisfied or familiar service providing user from the historical requirement information, and reserve and order for the service providing user. The client 101 further comprises a payment unit 101c, and the service requirement user scans the two-dimensional code of the payment amount determined by the payment unit 101c of the service providing user client 101 through the payment unit 101c to complete payment. The service requirement user can select a credit card, a payment treasure, a WeChat payment and the like to pay the service fee. Meanwhile, the coupon two-dimensional code provided by the service demand user can be scanned in the payment process, and then the total payment amount is generated and paid to the company unified account.

The service providing user can collect user information 202 of the service providing user based on the personal unit 101a of the client 101, wherein the user information 202 comprises personal attribute data and geographic position data 201 of the service providing user, and the collected attribute data and the geographic position data 201 are sent to the server 102 to be stored. The personal attribute data includes a service providing user name, phone number, common address, personal academic calendar, training experience, practice experience, skill or qualification certificate. The personal unit 101a may also set or upload information such as the type of service provided by the service providing user, the number of times of service, the working age, and the participation in training programs. The personal unit 101a may also present the service level of the service providing user and the received service rating information of the service providing user. The service level is comprehensively determined by the system according to the integrity of the personal information of the user, personal academic records, training experiences, working experiences and skill or qualification certificates, working time and service evaluation conditions. And the service level and service evaluation service providing users are not modifiable by themselves. While the service providing user may view personal account information at personal unit 101 a. The personal account information includes a guarantee amount balance, an information management fee balance, a last commission situation, and a commission income situation of the month. The information management fee is an order information fee for the service providing user to pay for the push of the unit 101 c.

The service provides a user with viewing or processing system order information, current received demand orders, and historical demand information at the demand data acquisition unit 101b of the client 101. The service providing user can view the system recommended demand order detail information based on the demand data collection unit 101b and decide whether to accept the response to the order. The detailed information of the recommended demand order comprises information of service items, service time, service places, tariff levels, charging modes and the like. The demand data collection unit 101b may provide a demand order navigation service based on the order service location and the service providing user specific location. The demand data collection unit 101b may send a demand order start request to the service demand user based on a service providing user operation. The service providing user starts working after receiving the confirmation information of the demand data acquisition unit 101b after the service demanding user confirms the start of the order at the client 101. The service providing user completes the required order item, and after self-acceptance, sends an order ending request to the client through the required data acquisition unit 101b, and after the client is qualified in acceptance, the client confirms that the order is ended through the required data acquisition unit 101 b. The service providing user can check the reservation demand order information based on the demand data acquisition unit 101b and reasonably arrange the working time. Meanwhile, the service providing user can check the historical demand information based on the demand data acquisition unit 101b and improve the service quality according to the client comment information in the historical demand information. The service provider can collect the current order on the client 101 payment unit 101c and check the personal payment amount on the payment unit 101 c.

The user management unit 103a is configured to implement management of user attribute data, common geographic locations, and real-time geographic locations in the user information 202 of the client 101. The information management comprises adding or stopping a user account, modifying or inquiring information such as a user default address, a standby telephone and a blacklist set by a user. The user information 202 data management also includes querying service user numbers, service user names, charging standards and descriptions, deposit payment conditions, data integrity conditions, training conditions, service categories, revenue statistics, service providing user levels, binding bank card numbers and information fee deduction standards, and the like. The management center can simultaneously audit or add new users based on the real conditions of the personal information, the payment conditions of the deposit and the training conditions of the users.

The user management unit 103a comprises a user service level evaluation module, and the service level is comprehensively determined by the system according to the user personal information integrity, the personal academic history, the training experience, the working experience and skill or qualification certificate, the working time and the user evaluation condition. The service information unit 103b of the system management terminal 103 includes a module for showing service items that can be provided by the service providing user to the user, and simultaneously implementing management of adding, modifying or deleting the service items. The service information management unit 103b further includes service item display and service charging mode management. The service charging mode is different according to different service providing user grades of different service items of different city categories. The city categories are divided into a first-level city, a second-level city, a third-level city and a fourth-level city.

The data matching unit 103c of the system management terminal 103 is configured to match service data and location data of the service demand user and the service providing user. The data matching unit 103c of the system management end 103 may establish a first mapping table 204 based on the geographic location data 201 uploaded by the service requirement user and the user information 202 of the user management unit 103a of the system management end 103. The data matching unit 103c of the system management terminal 103 may establish a second mapping table 208 based on the user attribute data and/or requirement data 206 uploaded by the service requirement user and the user information 202 including the service provision user attribute data and/or requirement data 206. The data matching unit 103c of the system management end 103 may extract and/or update the geographic location data 201, the attribute data, and/or the requirement data 206 of the user based on the data or the instruction sent by the user management unit 103a and the requirement data management unit 103d in response to the service requirement user, so as to enable the data matching unit 103c of the system management end 103 to update the first mapping table 204 and the second mapping table 208. The data matching unit 103c of the system management end 103 performs matching and screening on the updated geographic location data 203, the updated attribute data and/or the requirement data 207 in an interactive matching manner with the updated first mapping table 205 and the updated second mapping table 209. The data matching unit 103c of the system management end 103 processes the matched and/or screened data and returns the processed data as the service information 210 to the client 101 of the user.

The first mapping table 204 is a list of correspondence relationships between service demand users and at least one service providing user, which are established by the data matching unit 103c based on the geographic location data 201 uploaded by the service demand users and the user management unit 103 a. The second mapping table 208 is a corresponding relationship list between the service demand user and at least one service providing user, which is established by the data matching unit 103c based on the user attribute data and/or the demand data 206 uploaded by the service demand user.

The updated first mapping table 205 is a list of correspondence relationships between the service requiring user and at least one service providing user, which is established by the data matching unit 103c based on the first mapping table 204 and data or instructions related to querying services and/or providing services, which are sent by the service requiring user through the personal unit 101a of the client 101, to match the updated geographic location data 203 of the user. The updated second mapping table 209 is a corresponding relationship list between the service demand user and at least one service providing user, which is established by the data matching unit 103c based on the second mapping table 208 and the updated attribute data and/or demand data 207 matched by the data or instruction, which is sent by the service demand user through the data acquisition unit 101b and is related to the query service and/or the service providing.

The demand data management unit 103d is configured to manage demand data uploaded to the server 102 by a service demand user. The financial management unit 103e of the system management end 103 is used for managing the financial settlement of the demand order.

As shown in the geographic location-based service information matching flowchart shown in fig. 2, the data matching unit 103c generates a first mapping table 204 based on matching of common geographic location data 201 uploaded by a service demand user with user information 202 of the user management unit 103a, which includes geographic location data of a service providing user. The data matching unit 103c generates an updated first mapping table 205 based on matching the new geographical location data 203 with the first mapping table 204 and/or the user information 202 containing geographical location data of the service providing user.

The data matching unit 103c generates the second mapping table 208 based on matching the attribute data and/or requirement data 206 uploaded by the service requirement user with the user information 202 containing the attribute data of the service providing user. The data matching unit 103c generates an updated second mapping table 209 based on the service requirement user matching with the new attribute data and/or requirement data 206 and the second mapping table 208 and/or the user information 202 containing the attribute data of the service providing user. The matching center matches the updated first mapping table 205 with the updated second mapping table 209 to generate service information 210 required by the service requirement user.

The service flow of the mobile internet service application based on the present invention is explained with reference to fig. 4. The service flow of the invention comprises the following steps:

s01: the service requires ordering by the user. A service requirement user logs in a client 101, selects a service item or fills requirement information in a requirement data acquisition unit 101b, and submits a requirement order;

s02: and matching system orders. And the system completes the matching of the service items and the service positions according to the customer order demand information.

S02 a: the flow ends. If the service demand user withdraws the demand order, the service flow is ended.

S03: the order was received for 5 service providing users nearby. The system matches 5 service providing users according to the demand order information, and the service providing user of the first reply system is the selected service providing user within 60 s.

S04: an order is received. The selected service providing user accepts the order on the client 101.

S05: and contact confirmation is carried out with the service requirement user. The selected service providing user confirms the contact with the service demand user, confirms the details, the specific position, the time, the service reward and the like of the service project; if the negotiation cannot be consistent, the process returns to S01, and the service requirement user orders again.

S06: and carrying the work necessities to the service requirement user. And after the selected service providing user and the service demand user are in contact confirmation without meeting each other, the service providing user carries the work necessities of the related service projects to go to the service demand user.

S07: and the operation is started. The service providing user starts service work according to the industry standard and the practical specification of a specific service project.

S08: and finishing the work. And the service providing user finishes the customer to determine each service item, and after self-acceptance, the work is finished, and the user is subjected to acceptance of the service requirement.

S09: the service requires user acceptance. And the service demand user completes acceptance according to the order item and the written or orally agreed service quality standard with the service providing user, and if the acceptance is unqualified, the service providing user needs to rework and then waits for acceptance again.

S10: and (4) passing. And (4) the service requirement user is qualified.

S11: the service requires payment from the user. And the service demand user completes payment according to the demand order information.

S12: the flow ends. And the service demand user finishes the service quality evaluation of the service providing user in the system, and the process is ended.

For the new user, the step 1 further comprises a user registration operation, wherein the user registers or logs in with a telephone number, and the number can be used as a contact telephone for ordering. The password for registration is a short message verification code, and after the registration is successful, the mobile phone automatically records and automatically logs in. Meanwhile, the method also supports QQ and WeChat account login, completes subsequent contact data registration after login, and automatically logs in after the APP is opened next time.

And 2, the system order matching process further comprises the step that the system manually sets a position to match peripheral specific service items according to the client positioning position or the service requirement.

And step 3, the system matches 5 service providing users according to the service positions and service items confirmed by the system in step 2, and sends order requests to the 5 service providing users, and the system judges that the service providing user fed back first in 60s is an order receiving person. If the system does not receive the service providing user feedback within 60s, the system re-matches 5 service providing users according to the distance between the service providing users and the service demand users. Until the order receiving personnel are determined.

According to a preferred embodiment, the ordering of the service demand user and the matching of the service providing user are carried out according to the procedures of the step 1, the step 2 and the step 3, and the service demand user can also select the service type and the pricing mode according to the service demand of the service demand user and a price reference system provided by a system. After determining the service type and pricing model, the system will display the relevant service providing user information 202 that is online nearby in a list format, and the service requiring user can click on to view the service providing user detailed information, can specify the service providing user to place an order, or make an appointment to place an order for the service providing user. Meanwhile, the system can also display the position of the online service providing user near the service demand user in the form of a map, and can view the detailed information of the service providing user by clicking the head portrait and specify the service providing user to place an order or make an appointment for the service providing user to place the order. If the service demand user determines the service type and the pricing mode and does not specify the service providing user to place an order, the number of required people is automatically matched, the number of required people is default to 5 people, and the number of required people can be set in a background. The matching range is 5 kilometers, and the kilometer number can be set in the next day. And if the system is automatically matched, matching the nearest personnel, wherein the matching service provides the highest matching of the user according to the nearest distance and the highest service level. If the number of the idle state service providing users is less than 5, the number of the people in the order receiving state can be displayed, and the number of the people required to be displayed by the system setting is complemented. And respectively informing the service providing user in the modes of system APP ringing and mobile phone short message. The order is created by the service requirement user, and the service requirement user can click to use the two-digit coupon. When the service demand user makes an appointment for placing an order, the service demand user completes filling of service time, service place and service content, if the order is not placed in a specified manner, the required number of people is matched automatically, and 1 person is defaulted.

Step 4 also includes that the service provides the user to check the detailed information of the demand order on the system and determine the order receiving; if the service demand user can cancel the order and enter the cancellation reason after the order is received and before the work is not started, the process is ended.

According to a preferred embodiment, the predetermined service has not yet ended, but the service requiring user or the service providing user encounters an emergency situation requiring a suspension of the service. The service demand user or the service providing user sends a service ending request to the system management terminal 103 through the client terminal 101. The service requirement user or the service providing user needs to explain the reason for ending the service, namely, whether the customer personnel has an emergency or the staff has an emergency. The service requirement user is explained as an emergency situation. The service requirement user sends an end service application to the requirement data management unit 103d through the client 101. Upon receiving the end service request, the demand data management unit 103d transmits end service confirmation information to the client 101 of the service providing user. In the case where the service providing user confirms the end service confirmation information, the finance management unit 103e transmits a settlement request to the client 101 of the service requiring user. The client 101 of the service demand user issues a settlement instruction in response to the settlement request. The financial management unit 103e transmits a service charge list to the client 101 of the service requiring user in response to the settlement instruction. The finance management unit 103e adds an invisible watermark image to the service charge list when sending the confirmation instruction.

The payment unit 101c appropriately extends the confirmation period of the service requirement user for the service expense list due to the emergency situation of the service requirement user, so that the service requirement user confirms the service expense list within the period range. If the service requirement user does not confirm the service fee list in the deadline range, the financial management unit 103e regards the service requirement user as default for the service fee list, and deducts the service fee from the specified account of the service requirement user and pays the service fee to the specified account of the service providing user.

The step 11 further includes that the service requirement user can select a credit card, a payment treasure, a WeChat payment and the like to pay the service fee. Meanwhile, the coupon two-dimensional code provided by the customer can be scanned in the payment process, and then the total payment amount is generated and paid to the company unified account.

Example 1

The service data matching process based on the mobile internet service application of the present invention is described with reference to fig. 1 and 2. The service requirement user uploads information comprising at least attribute data and geographical location data 201 to the server 102 of the service via the client 101. The data matching unit 103c establishes a first mapping table 204 based on the geographical location data 201 uploaded by the service requirement subscriber and a second mapping table 208 based on the attribute data and/or requirement data 206 uploaded by the service requirement subscriber. Wherein the first mapping table 204 comprises geographical location data 201 and the second mapping table 208 comprises attribute data and/or requirement data 206. The service requirement user sends data or instructions related to the query service and/or the provision service to the server to start a new service process each time through the client 101 requirement data acquisition unit 101 b. The server side comprises a server 102 and a system management side 103.

The server responds to the data or instruction sent by the service requirement user, the service user management unit 103a and the requirement data management unit 103d extract and/or update the geographic location data 201, the attribute data and/or the requirement data 206 of the user based on the data or instruction sent by the service requirement user, and send the extracted and/or updated data to the data matching unit 103c, so that the updating of at least the first mapping table 204 and the second mapping table 208 is completed.

The updated first mapping table 205 is a relationship list between the service requiring user and at least one service providing user, which is established by matching the current user updated geographic location data 203 based on the first mapping table 204 before updating and data or instructions related to query services and/or providing services, which are sent by the service requiring user through the client 101, by the data matching unit 103c of the system management end 103; the updated second mapping table 209 is a relationship list of the service requirement user and at least one service providing user, which is established by the data matching unit 103c of the system management end 103 based on the second mapping table 208 before updating and the updated attribute data and/or requirement data 207 matched by the data or instruction, which is sent by the service requirement user through the requirement data acquisition unit 101b of the client 101, related to the query service and/or the service providing.

According to a preferred embodiment, the server saves the updated first mapping table 205 and the updated second mapping table 209 as history mapping tables in the server 102. The data matching unit 103c at the server side analyzes and processes data of at least one first mapping history mapping table and at least one second mapping history mapping table based on the history mapping tables and the neural network technology stored in the server 102, predicts and generates at least one first prediction mapping table and at least one second prediction mapping table, and stores the at least one first prediction mapping table and the at least one second prediction mapping table in the server 102. The data matching unit 103c of the server uses the history mapping table and at least one of the first prediction mapping table and the second prediction mapping table as the basic data of the next data update of the user. The server saves the mapping table updating matching time of the next service of the server by storing the historical mapping table and the prediction mapping table generated based on the neural network.

According to a preferred embodiment, the updated first mapping table 205 is a relationship list between the service demand user and at least one service providing user, which is established by the data matching unit 103c based on the first mapping table 204 before updating, the history mapping table, the first prediction mapping table, and the data or instructions related to querying services and/or providing services, which are sent by the service demand user via the client 101, to match the current user updated geographic location data 203. The updated second mapping table 209 is a relationship list of the service demand user and at least one service providing user, which is established by the data matching unit 103c based on the second mapping table 208 before updating, the history mapping table, the second prediction mapping table, and the attribute data and/or the demand data 206 matched by the data or the instruction related to the query service and/or the service providing sent by the demand data acquisition unit 101b of the client 101.

The server matches and filters the updated geographic position data 203, the updated attribute data and/or the requirement data 207 in an interactive matching manner according to data or instructions sent by the service demand user, and the system management end processes data information including the updated geographic position data 203, the updated attribute data and/or the requirement data 207 and at least one matched service providing user list and feeds the processed data information as service information 210 back to the client 101 of the service demand user carried on the mobile internet terminal.

The service information 210 is processed in such a way that the data matching unit 103c compresses the matched and/or filtered data and transmits the compressed data to the client 101. The updated geographic location data 203, the updated attribute data and/or the demand data 207 in the service information 210 are transmitted to the client 101 in a synchronous transmission manner. The advantage of the synchronous transmission mode is that it does not need to add and stop code elements separately for each character, so the transmission efficiency is high. The service information 210 is presented to the client 101 in a list or in a manner that creates data tags based on the electronic map of the client 101. The list is a list of at least one service providing user including user information 202 that is matched and screened based on service demand user updated geographic location data 203, updated attribute data and/or demand data 207. The data tag is at least one service providing user matched and screened based on the updated geographic position data 203, the updated attribute data and/or the requirement data 207 of the service providing user, and the at least one service providing user containing the user information 202 is displayed on the map in a tag mode based on the geographic position information in the service providing user information.

Example 2

Take the establishment and updating of the first mapping table and the second mapping table of the mobile internet service application of the present invention as an example.

As shown in fig. 3, the first mapping table includes geographical location data of service requiring users and geographical location data of at least one service providing user. The geographic location data of the service requirement user is uploaded by the service requirement user through the client 101. The geographic location data of at least one service providing user is matched by the data matching unit 103c from the user information of the user management unit 103a based on the geographic location data uploaded by the service requiring user. For example, the geographic location data uploaded by the service requirement user is location a, and the data matching unit 103c matches at least one service providing user whose geographic location is related to location a from the user information of the user management unit 103a, that is, the service providing user a1 and the service providing user a2 … … service providing user An in the first mapping table.

The second mapping table comprises requirement data of service requiring users and attribute data of at least one service providing user. The demand data of the service demand user is uploaded by the service demand user through the client 101. The attribute data of at least one service providing user is matched by the data matching unit 103c from the user information of the user management unit 103a based on the demand data uploaded by the service demand user. For example, the requirement data uploaded by the service requirement user is B, and the data matching unit 103c matches at least one service providing user whose attribute data is related to B from the user information of the user management unit 103a, that is, the service providing user B1 and the service providing user B2 … … in the second mapping table, i.e., the service providing user Bp.

The service requirement user sends data or instructions related to the query service via the client 101. The data matching unit 103c establishes an updated first mapping table according to the first mapping table and the geographical location updated by the service requirement user. For example, the real-time geographic location of the service requirement user is located as a C place through a mobile internet terminal based on GPS, ibeacon, wifi, bluetooth and a mobile communication network, or the geographic location of the service requirement user is updated to the C place through the client 101, and then the updated geographic location of the service requirement user is the C place. C ground can be a place a short distance away from A ground, like a street; or may be remote from a, such as a different urban area. If the place C is not far away from the place a, such as a street, the data matching unit 103C may match at least one service providing user whose geographic location is related to the place C from the n service providing users in the first mapping table, i.e. the service providing user C1 and the service providing user C2 … … service providing user Cm in the updated first mapping table. In this case, m is not more than n. If the place C is far away from the place a, for example, in a different urban area, at least one service providing user related to the place C cannot be matched in the first mapping table, the data matching unit 103C may match at least one service providing user whose geographic location is related to the place C from the user information of the user management unit 103a, that is, the service providing user C1 or the service providing user C2 … … service providing user Cm in the updated first mapping table. At this time, m has no definite magnitude relation with n.

The service requirement user sends data or instructions related to the query service via the client 101. The data matching unit 103c establishes an updated second mapping table according to the second mapping table and the updated attribute data of the service requirement user. For example, if the demand data of the service demand user is updated to D by the client 101, the updated demand data of the service demand user is D. D may be demand data associated with B, as belonging to the field of home services; d can also be demand data unrelated to B, such as B being a housekeeping service field and D being a training service field. If D and B are the related requirement data, the data matching unit 103c may match at least one service providing user whose attribute data is related to D from the p service providing users in the second mapping table, i.e. the updated service providing user D1 and service providing user D2 … … service providing user Dq in the second mapping table. In this case, q is not more than p. If D and B are not related requirement data, and at least one service providing user whose requirement data is related to D cannot be matched in the second mapping table, the data matching unit 103c may match at least one service providing user whose attribute data is related to D from the user information of the user management unit 103a, that is, the updated service providing user D1 and service providing user D2 … … service providing user Dq in the second mapping table. In this case, q and p have no definite magnitude relationship.

And the data matching unit 103c performs matching and/or screening of the service and the requirement on the updated first mapping table and the updated second mapping table in an interactive matching manner, and returns the matched and/or screened data serving as service information to the service requirement user client 101.

The establishment and updating of the first mapping table and the second mapping table will be described below with a specific example.

The geographic location data uploaded by the service requirement user via the client 101 is "metropolis marquis". The data matching unit 103c matches at least one service providing user whose geographical location is related to the "metropolis marquis" from the user information of the user management unit 103a based on the "metropolis marquis". The first mapping table includes geographical location data of service requiring users and geographical location data of at least one service providing user. The demand data uploaded by the service demand user via the client 101 is "home services". The data matching unit 103c matches at least one service providing user whose attribute data is related to the "home service" from the user information of the user management unit 103a based on the "home service". The second mapping table comprises requirement data of service requiring users and attribute data of at least one service providing user.

The service demand user sends data of 'wonderful martial regions are township roads and housekeeping service house cleaning' through the client 101, the geographic position data of the service demand user is updated to be the 'wonderful martial regions are township roads', the data matching unit 103c matches at least one service providing user related to the geographic position and the 'wonderful martial regions are township roads' from the n service providing users of the first mapping table, and accordingly the updated first mapping table is established. The data matching unit 103c matches at least one service providing user whose attribute data is related to "housekeeping service house cleaning" from the p service providing users in the second mapping table, thereby establishing an updated second mapping table. Or

The service demand user sends data of 'the city in wonderland Yangtze river region and training service' through the client 101, the geographic position data of the service demand user is updated to the 'city in wonderland Yangtze river region', the data matching unit 103c cannot match at least one service providing user with a geographic position related to the 'city in wonderland Yangtze river region' from the n service providing users in the first mapping table, and the data matching unit 103c matches at least one service providing user with a geographic position related to the 'city in wonderland Yangtze river region' from the user information of the user management unit 103a, so that the updated first mapping table is established. The data matching unit 103c cannot match at least one service providing user whose attribute data is related to the "training service" from the p service providing users in the second mapping table, and then the data matching unit 103c matches at least one service providing user whose attribute data is related to the "training service" from the user information of the user management unit 103a, thereby establishing an updated second mapping table.

The data matching unit 103c performs matching and/or screening between the service and the requirement on the updated first mapping table and the updated second mapping table in an interactive matching manner, and returns the matched and/or screened data as service information to the client 101. By adopting the service application, the user can acquire service nearby or provide service.

Example 3

Take the service evaluation of the present invention as an example. The service evaluation system comprises reaction enthusiasm score evaluation, service work efficiency score evaluation, service quality score evaluation and service quality comment. The system management end 103 records the time that the service providing user receives the service requirement data until the client 101 of the service requiring user first receives the identification data of the service providing user as the service response time. Meanwhile, the system management end 103 stores the service response time in the server 102. After the identification data receives a service order containing demand data for the service providing user, the two-dimensional code containing service demand data information and providing user personal data is pushed to the client 101 of the service providing user by the system management terminal 103. The service demand user can complete the identity verification of the service provider based on the personal data of the service providing user in the identification data.

The system management end 103 records the time from the service providing user confirming the start of service item to the service providing user ending the service item as the service working time. And the system management end 103 stores the service working time in the server 102.

The system management terminal 103 judges whether the service response time exceeds a response time threshold value based on the service demand user and the service provision user geographical position data, thereby completing the response enthusiasm score evaluation. The reaction time threshold is the sum of the time required for the electronic map of the mobile terminal to reach the destination by taking the bus route and walking based on the matching of the position information of the service demand user and the service providing user. For example, the service demand user is in place A, the service providing user is in place B, the mobile terminal electronic map generates a fastest arrival route map based on the position information of the place A and the place B, the fastest route map comprises a bus riding part and a route needing to walk, and the reaction threshold time is the sum of the time required by the bus riding part predicted by the electronic map and the time required by the walk route predicted by the electronic map.

The data matching unit 103c of the system management end 103 matches the service items and the item workload required by the service demand users based on the demand data of the service demand users. Service item time prediction is done by the service information unit 103 b. And the predicted time is located as the working time threshold. The service work efficiency score evaluation is completed by the user management unit 103a judging whether the service work time exceeds the work time threshold.

The service information unit 103b of the system management end 103 pushes the service item flow, the quality control standard, or the industry service standard matched by the data matching unit 103c to the service requirement user client 101. The service demand user completes service quality scoring and service quality evaluation of the service providing user in the demand data acquisition unit 101b of the client 101 based on the service project flow, the quality control standard or the industry service standard.

The user management unit 103a of the system management terminal 103 completes service provision user service comprehensive score evaluation based on the reaction enthusiasm score evaluation, the service work efficiency score evaluation and the service quality score evaluation, and the weighting factor of the reaction enthusiasm score evaluation, the weighting factor of the service work efficiency score evaluation and the weighting factor of the service quality score.

Wherein at least the composite score evaluation is determined by the system management side (103) based on physical information collected by the client side (101) and the server side in a manner independent of user operation of the client side (101). The physical information comprises reaction enthusiasm score evaluation, service work efficiency score evaluation, service quality score evaluation, a weight factor of the reaction enthusiasm score evaluation, a weight factor of the service work efficiency score evaluation and a weight factor of the service quality score.

For example, the composite score is reaction enthusiasm score × 0.2+ service work efficiency score × 0.3+ quality of service score × 0.5. And the service integration score evaluation and the service quality evaluation are stored in the server 102, are shown in the individual unit 101a of the service providing user client 101, and cannot be modified by the service providing user.

Example 4

Take the service cost budget of the present invention as an example. The service cost budget of the present invention is that the demand data management unit 103d completes the analysis processing of the service demand data based on the service demand data uploaded to the server 102 by the demand data acquisition unit 101b, completes the matching with the service information in the service information unit 103b based on the analysis result of the demand data, estimates the service cost of the service required in the service demand data, and stores the estimated service cost in the server 102.

The fee budgeting system stores estimated service fee information at the server 102 in combination with demand data information in an image formed by the server 102 from the demand data information, and the server 102 adds a watermark derived from the generated image to the image in a manner invisible to the naked eye, so that the client 101 of the service demanding user can learn budget information for service fees for a desired service by receiving the watermarked image.

Analysis processing of service requirement data the lexical analyzer of the requirement data management unit 103d classifies and combines the information related to the requirement data according to time, place, service category and service person, thereby extracting the service place, service time, service item category and service providing user level of the service required by the service requirement user.

If the requirement data uploaded by the service requirement user is from nine o 'clock and half to eleven o' clock on saturday at noon, and the residential district on the east great street in the civet in the civic city requires the housekeeping service, the analysis result of the requirement data management unit 103d on the service requirement data is as follows: the service place is a certain deserted Shangfang cell of east great street in the Jinjiang area of the Chengdu city, belongs to a second-line city and is positioned in three rings of Chengdu; the service item type is household cleaning; the service time is nine o 'clock and half to eleven o' clock on saturday morning. The data management unit 103d completes matching with the service information in the service information unit 103b based on the service location, the service item type, and the service time described in the analysis result, and completes service cost estimation related to the service in the service demand data with the service providing user level as a variable.

If the basic service charge of the home cleaning service of the second-line city is 30 yuan per hour. The number of atoms in the three rings of the metropolis is 30 atoms per hour, and the number of atoms outside the three rings is 10 atoms per hour. The normal working hours from eight morning hours to six afternoon hours of Monday to Friday are 30 yuan per hour, and 10 yuan is added in the rest of the hours. If the star-class service providing user has 30 yuan per hour, the quinary service fee is added per hour when a star class is added, and the highest grade of the service providing user is five stars. The data management unit 103d performs service charge estimation based on the matched service information, where the minimum required service charge of the service demand is 30 × 2+10 × 2 ═ 80 yuan, and the maximum required service charge of the service demand is 30 × 2+10 × 2+4 × 5 × 2 ═ 120 yuan. I.e. the required service cost of the service requirement is 80-120 dollars.

If the service demand data comprises four information elements of service location, service time, service item type and service providing user grade. The data management unit 103d can complete an accurate budget of service charges.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims

1. A service charge budget system based on a mobile Internet service application realized by both a client (101) mounted on a mobile Internet terminal and a server including a server (102) and a system management terminal (103),

characterized in that the cost budgeting system stores estimated service cost information at the server (102) in combination with demand data information in an image generated by the server (102) from the demand data information, and the server (102) adds a watermark originating from the generated image to the image in a manner invisible to the naked eye, so that the client (101) can learn budget information for service costs of a desired service by receiving the watermarked image;

the cost budget is that a demand data management unit (103 d) completes analysis processing of service demand data based on service demand data uploaded to a server (102) by a demand data acquisition unit (101 b), completes matching with service information in a service information unit (103 b) based on analysis results of the demand data, estimates service cost of required service in the service demand data, and stores the estimated service cost in the server (102),

the client (101) collects personal attribute data and/or demand data (206) of a service demand user, geographical position data (201) and data or instructions related to service inquiry of the service demand user based on a human-computer interaction technology, and sends the data or instructions to the server (102) through the Internet,

the system management terminal (103) establishes a first mapping table (204) and a second mapping table (208) based on the geographic location data (201), the attribute data and/or the demand data (206) uploaded to the server (102) by the service demand users, wherein the first mapping table (204) comprises the geographic location data (201) and at least one service providing user list matched based on the geographic location data (201), the second mapping table (208) comprises the attribute data and/or the demand data (206) and at least one service providing user list matched based on the attribute data and/or the demand data (206),

the system management terminal (103) completes the updating of the first mapping table (204) and the second mapping table (208) based on the data or instructions which are uploaded to the server (102) by the service demand user and are related to the inquiry service of the service demand user,

the server saves a first mapping table (205) after updating and a second mapping table (209) after updating as history mapping tables in the server (102), a data matching unit (103 c) of the server analyzes and processes data of at least one first mapping history mapping table and at least one second mapping history mapping table based on the history mapping tables and the neural network technology saved in the server (102), predicts and generates at least one first prediction mapping table and at least one second prediction mapping table, and saves the at least one first prediction mapping table and the at least one second prediction mapping table in the server (102), and the data matching unit (103 c) of the server takes the history mapping tables and the at least one first prediction mapping table and the at least one second prediction mapping table as basic data of next data updating of a user;

the system management terminal (103) matches at least one service providing user in an interactive matching manner based on the updated first mapping table (205) and the updated second mapping table (209);

and the system management terminal (103) feeds back data information including the updated geographic position data (203), the updated attribute data and/or demand data (206) and the matched at least one service providing user list to the client terminal (101) mounted on the mobile internet terminal as service information (210).

2. The system for budgeting service costs based on a mobile internet service application according to claim 1, wherein the watermarking step comprises at least: collecting at least one local characteristic point from the image to be added with the watermark as a positioning point; determining a watermark adding area of the image according to the collected positioning points; generating a watermark matrix by using the secret key; adding a watermark to the watermarking region based on the generated watermark matrix, wherein,

the watermark is provided with a plurality of spectrums within the invisible spectrum range, the spectrum watermark can be formed by uncertain spectrum points in the watermark adding area, the spectrum points at least comprise infrared spectrum points and ultraviolet spectrum points, and the infrared spectrum points and the ultraviolet spectrum points are arranged in a staggered mode to form a spectrum watermark image.

3. The mobile internet service application-based service charge budget system according to claim 2, wherein the anchor point is a center point of an area where a color ratio in the image to be watermarked is the largest; and in the watermarking region, discarding the watermarking region blocks with white area proportion larger than a threshold value.

4. The system for budgeting service costs based on mobile internet service applications according to claim 1, wherein the parsing process of the service demand data is to classify information related to the demand data by time, place, service category and service person in the lexical analyzer of the demand data management unit (103 d) to extract a service place, service time, service item category and service providing user level of a service required by the service demand user, and the service demand data includes at least three of four information elements of service place, service time, service item category and service providing user level.

5. The service charge budgeting system based on mobile internet service applications according to claim 4, wherein when the analysis result of the demand data management unit (103 d) on the service demand data only includes a service location, a service item type and a service time, the demand data management unit (103 d) completes matching with the service information in the service information unit (103 b) based on the service location, the service item type and the service time in the analysis result, and completes service charge estimation related to the service in the service demand data with the service providing user class as a variable.

6. The system for budgeting service costs for mobile internet service applications according to claim 4, wherein when the result of parsing the service demand data by the demand data managing unit (103 d) includes only a service item type, a service time, and a service providing user class, the demand data managing unit (103 d) performs matching with the service information in the service information unit (103 b) based on the service item type, the service time, and the service providing user class in the parsed result, and performs service cost estimation related to the service in the service demand data with the service location as a variable.

7. The service charge budgeting system based on mobile internet service application according to claim 4, wherein when the analysis result of the demand data management unit (103 d) on the service demand data includes a service location, a service item type, a service time, and a service providing user level, the demand data management unit (103 d) completes matching with the service information in the service information unit (103 b) based on the service location, the service item type, the service time, and the service providing user level in the analysis result, and completes service charge estimation related to the service in the service demand data.

8. The system for service cost budgeting based on mobile internet service applications according to claim 1, wherein the system management terminal (103) extracts and updates the user's geographical location data (201), attribute data and/or demand data (206) based on data or instructions uploaded by the service demand user to the server and associated with the query service, thereby completing the updating of the first mapping table (204) and the second mapping table (208).