TW201511597A - Wireless positioning method and system having load balance and trade-in function - Google Patents

Abstract

The invention provides a wireless positioning method and a system having the load balance and trade-in function, which is mainly used for handling with positioning requirements based on a priority, wherein positioning requirements of high priority are handled with in real time and positioning requirements of low priority are centralizedly collected for parallelization processing by a cloud platform so as to realize the maximum efficiency. Meanwhile, the records of the base stations of both a telecommunications network and a wireless network, required during the updating process of the wireless network, are updated based on positioning results and a user feedback mechanism. Through positioning a service element, positioning requirements are received from clients and then are dispatched to corresponding instant positioning service elements, cloud positioning service elements and trust degree weighting mechanism processing service elements. Positioning requirements of high priority are processed by instant positioning service elements. Positioning requirements of low priority are processed by cloud positioning service elements in a parallel centralized manner. The records of the base stations of both the telecommunications network and the wireless network are updated by the trust degree weighting mechanism processing service elements.

Description

Wireless positioning method and system with load balancing and replacement function

The present invention provides an immediate response and improves computational efficiency, and provides user feedback contribution mechanism and feedback of positioning results to update the load balance between the telecommunication network and the wireless network base station required for wireless network positioning. Wireless positioning method and system for replacing old and new functions.

The positioning service on today's mobile devices is mainly based on GPS systems, while assisting wireless network positioning systems indoors or in the shadowing. These wireless network systems mainly integrate GPS, telecommunication network base stations and wireless networks. The positioning service of the base station has become the technology used by major leaders (Google, Apple). In the positioning service of the telecommunication network base station and the wireless network base station, the location of the mobile device is calculated by recording the geographical position of the base station, and the actual calculation and positioning methods include TOA, TDOA, AOA, Fingerprinting and the like. At present, Fingerprinting technology has gradually become the main method. Fingerprinting is a wireless base station signal collection signal geographic database collected at each sampling point in the environment. At the positioning stage, each user receives the signal characteristics and data of the mobile device. The library compares one by one, and the data that is closest to the received message (ie, the location) is the location of the location.

However, no matter which technology, wireless network positioning needs to record the geographical location of the telecommunication network and the base station or measure the data of the base station at each reference point. However, due to continuous changes in the environment and the increase or decrease of the base station. , causing a large amount of base station data to cause computational efficiency bottles The neck, and the record of changes and increases and decreases will affect the accuracy of positioning.

Potential problems with these existing technologies include:

(1) A large amount of positioning data and a large number of positioning requirements become the system bottleneck. Parallelization processing on multiple service components can reduce the average processing time and improve processing efficiency. However, the response time is lengthened due to Overhead, and there is currently no mechanism. Discuss equilibrium reaction time and processing efficiency.

(2) Fingerprinting technology requires collecting data at each sampling point, which is labor intensive. At the same time, if there is a change in the environment or the base station is changed or decreased, the database data becomes invalid and must be resampled.

(3) If data is collected by a small number of sampling points and then estimated by interpolation, Compressed sensing, etc., it is still unable to overcome the problem of environmental changes and the increase or decrease of the base station and the invalidity of the database.

The main object of the present invention is to provide a processing method for designing load balancing for computing performance and reaction time, and to update the telecommunication network and wireless network base station records required for wireless network positioning by using the positioning result and the user feedback mechanism. Wireless positioning method and system for load balancing and replacement function.

A secondary object of the present invention is to provide a wireless communication with load balancing and replacement function that utilizes different data communication modes of three types of clients and is allocated to the relative service elements for balance of computing performance and reaction time. Method and system.

Another object of the present invention is to provide a solution to the problem of manpower collecting data costs, overcoming environmental changes, and increasing or decreasing the base station to cause invalid database problems. A wireless positioning method and system for balancing and replacing old functions.

To achieve the above objective, the wireless positioning method and system with load balancing and replacement function of the present invention mainly includes a positioning service component, a real-time positioning service component, a cloud positioning service component, and a trust weighting mechanism processing service component.

The positioning service component mainly receives the signal transmitted by the mobile device of the client, and the signal transmitted by the mobile device includes high-priority positioning requirements, low-priority positioning requirements, and positioning data feedback, all of which include the current client. The information of the neighboring telecommunication base station and the wireless base station (which may include only one of them), wherein the high priority positioning requirement refers to the limitation of the immediate reaction time, such as the first several positioning requirements for starting the navigation function. The low-priority positioning requirement refers to the requirement that the positioning reaction time is more unlimited, such as the location tracking function performed in the background program, and the positioning data feedback refers to the function of providing the client's reward, which scans the neighboring telecommunication base station. The wireless base station returns the current GPS position. The positioning service component receives the three types of signals and assigns them individually to the relative computing components. Among them, the high priority positioning requirements are assigned to the instant positioning service components, which are low. The priority positioning requirements are assigned to the cloud location service component. Positioning information feedback from clients were assigned to the trust weighting mechanism at the service element.

The instant location service component records the geographical location of the telecommunication network base station and the geographical location of the wireless network base station and its reference point in the memory, and records the wireless network base station in the directory of the telecommunication network base station. The geographical location and its reference point, high-priority positioning requirements will be compared with these records to find the location.

The cloud location service component will first focus on low-priority positioning requirements in a quantitative or timed manner and then be distributed in parallel on different machines. Different machines will return their respective partial positioning results. Then integrate the final positioning position.

The trust weighting mechanism processes the service component to collect the location data feedback, and periodically processes the base station trust weight and the location data feedback base station feedback by the instant location service component, and the trust weighting mechanism processing service component determines whether there is a If the location of the base station calculated by the location data feedback does not match the location of the base station in the record, the degree of trust is adjusted to increase or decrease the base station change in the environment. Finally, the database It will become more complete and precise, and adapt to the environment that will change over time.

11‧‧‧Step 1

12‧‧‧Step 2

13‧‧‧Step three

14‧‧‧Step four

15‧‧‧Step 5

110‧‧‧Client mobile phone

120‧‧‧ Positioning service components

130‧‧‧ Instant Location Service Components

140‧‧‧Cloud Positioning Service Components

150‧‧‧trust weighting mechanism for processing service components

202‧‧‧ Whether it is positioning needs or positioning data feedback and contribution

203‧‧‧10% weighting mechanism for processing service components

204‧‧‧ Is it a high priority positioning requirement?

205‧‧‧Send to instant location service component

206‧‧‧Send to the cloud location service component

302‧‧‧Is the proximity of telecommunications base station information to the location of the recorded telecommunications and network base stations?

303‧‧‧Comparison using the wireless network base stations included in the telecommunications base station

304‧‧‧Compare with all recorded network base stations

305‧‧‧ Use the pre-recorded trust weights as a ratio to compare the wireless network base station coordinates to the average coordinates

306‧‧‧Is it found that wireless network base station changes?

307‧‧‧Feedback of changing wireless network base stations to trust computing components

308‧‧‧ Output positioning results and end

402‧‧‧Collection k positioning requirements

403‧‧‧The k-location requirement and the recorded training data will be assigned to n servers.

404‧‧‧The k-location requirement on each machine is based on the weight of trust and the total average is the tentative coordinate

405‧‧‧Collecting independent k-time positioning tentative coordinates and trust weights

406‧‧‧ Calculate the final positioning position

1 is a flow chart of the present invention; FIG. 2 is a system architecture diagram of the present invention; FIG. 3 is a flow chart of a positioning service component of the present invention; FIG. 4 is a flow chart of the instant positioning service component of the present invention; The figure is a flow chart of the cloud location service component of the present invention.

As shown in FIG. 1 , which is a wireless positioning method and system with load balancing and replacement function of the present invention, the process steps are as follows:

Step 1: The client mobile device sends a high-priority positioning requirement, a low-priority positioning requirement, or a positioning data feedback. The three positioning requirements are transmitted to the positioning service component, and the method for separating the three requirements may be in one of the requirements connection fields. The definition is 0: high priority positioning requirement, 1: low priority positioning requirement, 2: positioning data feedback; 11;

Step 2: The location service component detects the type field in the demand connection, and the field is 0: high priority The location requirement is sent to the instant location service component, and proceeds to step 3, the location service component sends a 1: low priority location requirement in the field to the cloud location service component, and proceeds to step four, and the location service component is in the field. 2: positioning data feedback is sent to the trust weighting mechanism processing service element, and proceeds to step 5; 12;

Step 3: The real-time positioning service component immediately calculates the location of the positioning after receiving the high-priority positioning requirement, and processes the service component according to the trust weighting mechanism according to the operation; 13 , for example, assuming that the positioning requirement is found The information of the neighboring telecom base station is C1, the information of the wireless base station is W1, W3, W5, and the recorded telecommunication base stations are respectively C1 and C2, wherein C1 covers the network base stations W1, W2, W3, W5, W6, C2. Cover network base stations W1, W4, W6, and each network base station records its location (Wi, Li), i = 1..6, or C1 covers the reference point data RP1, RP2 of the measurement base station RP3, RP5, RP6, RP7, RP8, RP9, and C2 cover the network base stations RP1, RP4, RP6, and RP10, and each reference point records its location (RPi, Li), i=1..10. The instant location service component first determines whether the neighboring telecommunication base station information searched by the positioning requirement exists in the geographical location of the recorded telecommunication and network base station, for example, C1 is in C1 and C2. If there is, the wireless network base station included in the telecommunication base station is used for comparison. For example, C1 uses C1 to cover the network base stations W1, W2, W3, W5, and W6 in C1 and C2 for comparison. If not, use all recorded network base stations to compare, such as W1, W2, W3, W4, W5, W6. After the comparison, W1, W3, and W5 are taken out, and the pre-recorded trust weights (presets are all 0.5) are used as a ratio, and the compared wireless network base station coordinates are collectively averaged as positioning coordinates 305. For example, the trust degrees of W1, W3, and W5 are 0.5, 0.5, and 0.8, respectively, and the position of the final positioning result is (0.5*). L1+0.5*L3+0.8*L5)/(0.5+0.5+0.8). You can also use the Fingerprinting method to find the reference point RP of the closest K measurement base stations using W1, W3, W5 and RP1, RP2, RP3, RP5, RP6, RP7, RP8, and RP9 (belonging to C1). And use the weight of the reference point RP of the K measurement base station to find the positioning result. When there is a positioning result, observe whether the wireless network base station is added or disappeared, and if so, it will change. The wireless network base station feeds back to the trust computing component. For example, if the neighboring wireless base station information that needs to be searched for has more W7, the W7 will be fed back to the trust computing component, or if the W5 disappears, the W5 is lowered. Trust is fed back to the trust calculation component.

Step 4: The cloud positioning service component collects a certain number of low-priority positioning requirements or periodically processes the centralized positioning requirements to calculate the positioning position in a parallel manner; 14;

Step 5: The trust weighting mechanism processes the service component to collect the positioning data feedback, and periodically calculates and newly adds and updates the information of each base station;

As shown in FIG. 2, the wireless positioning method and system for load balancing and replacement of the present invention mainly includes a client mobile device 110, a positioning service component 120, an instant location service component 130, and a The cloud location service component 140, a trust weighting mechanism processes the service component 150, when a location request is sent by the client mobile device 110, is dispatched by the location service component 120 to each processing component, and further, the client mobile device 110 will divide the positioning requirements into high priority positioning requirements, low priority positioning requirements, and positioning data feedback to the positioning service component 120, and the positioning service component 120 will position the high priority according to its type. The requirement is sent to the instant location service component 130, and the low priority order location requirement is sent to the cloud location service component 140, and the location data feedback is sent to the trust weighting mechanism for processing. The service component 150, the instant location service component 130 will immediately calculate the location of the location after receiving the location requirement, and according to the error feedback feedback value of the operation to the trust weighting mechanism processing service component 150, the cloud location service component 140 will concentrate. The number of positioning requirements or the periodic processing needs to calculate the location of the positioning in a parallel manner, and the trust weighting mechanism processing service component 150 collects the positioning data feedback, and periodically calculates the new deletion and update bases. Taiwan information.

The client mobile device 110 scans the neighboring telecommunication base station and the wireless base station, and divides the current client positioning application into high-priority positioning requirements, low-priority positioning requirements, or positioning data feedback. All of the information about the neighboring telecommunication base station and the wireless base station scanned by the client mobile device 110 (including only one of them), wherein the high priority positioning requirement refers to the limitation of immediate response time, low priority The sequential positioning requirement refers to the requirement that the positioning reaction time is more unlimited. The positioning data feedback and contribution refers to the function of providing the client's return. The providing the client return function will scan the neighboring telecommunication base station and the wireless base station to report the current return. The GPS location, for example, the mobile device calls the API provided by the standardization, to obtain the proximity to the telecommunication base station and the wireless base station that can be scanned, and the API provided by the standard can also provide the GPS location.

Furthermore, the priority order of the client mobile device 110 can be determined by the response time requirement of the application, for example, the response time requirement of the first several positioning requirements for starting the navigation function is short, so it is designated as high priority. Positioning requirements, where a field is added to the demand connection, represented by 0: high priority positioning requirements, and the location tracking function performed in the background program is usually used for post tracking or recording, so it is specified as low. Prioritized positioning requirements, where a field is added to the demand connection, represented by 1: low priority positioning requirements It. The information of the positioning data feedback includes the neighboring telecommunication base station, the network base station and the current GPS position, and the MCC, MNC, and Cell ID are recorded in the telecommunication base station, and the wireless network base station records the Mac address. A field will be added to the demand connection, indicated by 2: positioning data feedback.

The location service component 120 receives the location requirements issued by the client mobile device 110 and transmits the high priority positioning requirements to the instant location service component 130 according to its type, and transmits the low priority positioning requirements to the cloud location service component. 140. The positioning data feedback is sent to the trust weighting mechanism processing service component 150, and the positioning service component 120 also has a positioning database, which includes the recorded geographic location of the telecommunication and network base station or the reference point amount. Measure the data of the base station and send its data to each component as needed.

As shown in FIG. 3, the location service component 120 will distinguish whether the data type sent by the client mobile device 110 is a location requirement or a location data feedback 202. If the location data is fed back, it is sent to the trust weighting mechanism processing service. The component 203, if it is a positioning requirement, distinguishes whether it is a high priority positioning requirement 204, and if so, sends it to the instant location service component 205, and sends it to the cloud location service component 206 if it is a low priority positioning requirement.

In addition, the instant location service component 130 receives the high priority ordering requirements assigned by the location service component 120 and the recorded geographic location of the telecommunications and network base station or the data of the base station at each reference point, followed by Firstly, according to the information transmitted by the positioning requirements, the telecommunication base station selects the geographical location of the network base station for comparison or measures the data of the base station at each reference point, and then according to the network base station that has hits. The geographic location obtains the location by weight, or uses the Fingerprinting method to measure the data of the base station at each reference point, and then observes whether the wireless network base station changes, and if so, changes. No The line network base station feeds back to the trust weighting mechanism to process the service elements.

Furthermore, it is assumed that the information of the neighboring telecommunication base stations searched for by this positioning requirement is C1, the information of the wireless base stations is W1, W3, W5, and the recorded telecommunication base stations are respectively C1 and C2, wherein C1 covers the network. The base stations W1, W2, W3, W5, W6, and C2 cover the network base stations W1, W4, and W6, and each network base station records its location (Wi, Li), i=1..6, or C1. The data covering the reference point of the measurement base station RP1, RP2, RP3, RP5, RP6, RP7, RP8, RP9, C2 covers the network base stations RP1, RP4, RP6, RP10, and each reference point records its position (RPi , Li), i = 1..10. As shown in FIG. 4, the instant location service component 130 first determines whether the neighboring telecommunication base station information searched for by the current location requirement exists in the geographical location 302 of the recorded telecommunication and network base station, for example, C1 is at C1, C2. in. If yes, the wireless network base station included in the telecommunication base station is used for comparison 303. For example, C1 in C1 and C2 uses C1 to cover the network base stations W1, W2, W3, W5, and W6 for comparison. If not, all of the recorded network base stations are used to compare 304, such as W1, W2, W3, W4, W5, W6. After the comparison, W1, W3, and W5 are taken out, and the pre-recorded trust weights are used as a ratio to compare the average of the wireless network base station coordinates to the positioning coordinates 305, for example, trusts of W1, W3, and W5. The degrees are 0.5, 0.5, and 0.8, respectively, and the position of the final positioning result is (0.5* L1+0.5*L3+0.8*L5)/(0.5+0.5+0.8). You can also use the Fingerprinting method to find the reference point RP of the closest K measurement base stations using W1, W3, W5 and RP1, RP2, RP3, RP5, RP6, RP7, RP8, and RP9 (belonging to C1). And use the trust weights of the reference points RP of the K measurement base stations to find the positioning result. When there is a positioning result, observe whether the wireless network base station changes 306, if any, the wireless will change. The network base station feeds back to the trust calculation component 307, and finally outputs the positioning result and ends 308. For example, if the neighboring wireless base station information that is searched for is more than W7, the W7 will be fed back to the trust calculation. If the component, or W5, disappears, then the W5 trust is reduced and fed back to the trust calculation component.

The cloud location service component 140 receives the low priority order location demand assigned by the location service component 120 and the recorded geographic location of the telecommunications and network base station or the data of the base station at each reference point, and the cloud location The service component 140 first concentrates the low-priority positioning requirements after quantification, such as 1000 positioning requirements, and spreads them in parallel on different machines to compare the geographical location of the network base station or the measurement base station at each reference point. Data, and when compared on different machines that are independent of each other, each will find the tentative result in proportion to the weight of trust. Finally, these tentative results and their trust weights will be collected to output the final positioning result. At the same time, considering the accumulation of 1000 positioning requirements, if it is too long, for example, more than 30 seconds, 30 seconds will also be executed.

Further, it is assumed that a total of k low-priority positioning requirements are assigned to the cloud location service component 140, demand 1 searches for W1, W3, and W5, and demand 2 searches for W3, W5, and W6, and the cloud location service component Includes 2 computing servers. As shown in Figure 5, the cloud location service component first aggregates the k-location requirements 402, (this method can be quantitative or not quantitative but timing), and then assigns the k-location requirements and the recorded training data to the n servers. The comparison 403, for example, the recorded network base station W1, W2, W3 data is placed on the server 1, and the W4, W5, W6 data is placed on the server 2, and the positioning requirement in the k pen positioning requirement is 1 Searching for W1, W3, and W5 will match server 1 and server 2, respectively. On the basis of the k-position positioning requirement on each machine, the weighted proportion of the trust weight is the tentative coordinate 404. For example, the positioning requirement 1 is used in the server 1 to calculate the tentative coordinates by using W1 and W3, and the positioning requirement 1 is in the server. 2 uses W5 to calculate the tentative coordinates. Then, the independent k-position positioning tentative coordinates and the trust degree weight set 405 are calculated, and the final positioning position 406 is calculated. For example, the positioning requirement 1 will eventually add up the calculation seat calculated by the server 1 and the server 2. If the trust degrees of W1, W3, and W5 are 0.5, 0.5, and 0.8, respectively, the position of the final positioning result is (0.5* L1+0.5*L3)+(0.8*L5)/((0.5+0.5)+0.8 ).

The trust weighting mechanism processes the service component 150, receives the location data feedback assigned by the location service component 120, and also receives the data fed back by the instant location service component 130, and finally uses the system database to adjust the system data. The function provided by the initiative, the signal strength feature and the geographical location are returned, and the trust weighting mechanism processing service component 150 will determine whether there is a new wireless network base station, to continuously collect user contributions and find by triangulation method. If the location of the wireless network base station is on the map, if the location does not match the location of the wireless network base station in the record, the geographical distribution density will be calculated based on each of the three contribution data. If the contribution data is computationally intensive and the geographical position of the record is very different, the trust value is lowered. If it is a new new wireless network base station, its location is based on its density (accuracy) as the initial trust value.

Further, the trust weighting mechanism processing service element 150 is periodically executed, for example, one day. The trust weighting mechanism processing service component 150 feeds back the location data assigned by the location service component 120, and also receives the data fed back by the instant location service component 130. First, through the data feedback, if the wireless network base station disappears, The degree of trust is reduced. If there is a new one, the wireless network base station is added (calculated from the instant location service component), and then the location data of the location service component 120 is assigned to calculate each wireless network base station. The three pieces of contribution data are a set of geographically distributed intensity points that are calculated multiple times. Then, according to the geographical distribution density, the decline and improvement of trust degree are judged, and the positioning database is continuously updated.

As described above, the present invention has the following advantages when compared with other conventional technologies:

1. The present invention accelerates the location calculation by recording the geographic location of the wireless network base station or measuring the data of the base station at each reference point by the coverage of the telecommunication network base station.

2. The present invention utilizes the cloud location service component to calculate a low priority wireless location method in a parallel manner to improve overall utilization efficiency.

3. The wireless positioning method of adjusting load balancing through positioning priority helps to balance reaction time and overall efficiency.

The detailed description of the preferred embodiments of the present invention is intended to be limited to the scope of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

110‧‧‧Client mobile phone

120‧‧‧ Positioning service components

130‧‧‧ Instant Location Service Components

140‧‧‧Cloud Positioning Service Components

150‧‧‧trust weighting mechanism for processing service components

Claims (14)

A wireless positioning method with load balancing and replacement function includes the following steps: Step 1: The positioning service component receives a high priority positioning requirement transmitted by the client mobile device, a low priority positioning requirement or a reservation data Feedback; Step 2: The location service component assigns the high priority positioning requirement to the instant location service component, and proceeds to step 3; the location service component assigns the low priority positioning requirement to the cloud location service component, and proceeds to step 4; The service component dispatches the subscription data feedback to the trust weighting mechanism processing service component, and proceeds to step 5; step 3, the instant location service component receives the high priority positioning requirement and the recorded geographic location of the telecommunication and network base station or It is to measure the data of the base station at each reference point, and select the network base station and its data for comparison in the high priority order of the telecom base station, and compare the hit network base. The geographical location of the station, with the weight of trust to obtain the location, and finally observe whether the wireless network is discovered. The base station changes, if any, the changed wireless network base station is fed back to the trust weighting mechanism to process the service component; in step 4, the cloud location service component includes a plurality of computing units that receive low priority positioning requirements and recorded telecommunications Measure the location of the base station or the data of the base station at each reference point, first focus on the low-priority positioning requirements after quantification or timing, and spread them in parallel on different computing units to compare the network bases. The geographical location of the station or the data of the base station is measured at each reference point, and when the calculations are completed on the independent computing units, the tentative results are found in proportion to the weight of the trust, and finally the tentative results and their trustworthiness The weights will be aggregated to output the final positioning result; Step 5: The trust weighting mechanism processes the service component to receive the positioning data feedback while receiving The information returned by the instant location service component determines whether there is a new wireless network base station, and continuously collects user contributions and finds the general location of the wireless network base station on the map by triangulation. The three pieces of contribution data are a set of geographical distribution density that is calculated multiple times. If the contribution data is computationally intensive and the geographical position of the record is very different, the trust value is lowered. If the new wireless network base station and its location, Then its intensity is the initial trust value. The wireless positioning method with the load balancing and the old-for-new function described in claim 1, wherein the positioning service component includes the recorded geographical location of the telecommunication and network base station or the measurement base station at each reference point. data. The wireless positioning method with the load balancing and the replacement function described in claim 1, wherein the positioning data feedback means that the client mobile device returns the scanned neighboring telecommunication base station or the wireless base station, and returns the current GPS position. . The wireless positioning method with the load balancing and the old-for-new function described in claim 1, wherein the instant positioning service component is selected for comparison according to the telecommunication base station in the data transmitted by the high-priority positioning requirement. Data, and using the pre-recorded trust weight as a ratio, the average of the compared wireless network base station coordinates is the locating coordinate. A wireless positioning method with load balancing and replacement function as described in claim 4, wherein the telecommunication base station means that the recorded telecommunication and network base station data includes the coverage of the telecommunication base station, and serves as a directory Record the network base station data included. The wireless positioning method with the load balancing and the old-for-new function described in claim 5, wherein the recorded telecommunication and network base station data can measure the data of the base station for each reference point, and also the telecommunication base The station is a directory record. A wireless positioning method with load balancing and replacement function as described in claim 1 The trust weighting mechanism processes the wireless positioning method of the service component with load balancing and the old-fashioned replacement function, wherein the instant positioning service component uses the Fingerprinting method to find the reference point RP of the closest K measurement base stations, and The reliability of the reference point RP of the base station RP is used to find the positioning result. A wireless positioning system with load balancing and replacement function mainly includes: a client mobile device, which can transmit high priority order positioning requirements, low priority positioning requirements, and positioning data feedback three different signals; Positioning the service component, the location service component receives the data transmitted by the client mobile device, and is assigned to the opposite component according to the three types of signals, the high priority positioning requirement is assigned to the instant location service component, and the low priority positioning requirement is Dispatched to the cloud location service component, and the location data feedback is assigned to the trust weighting mechanism to process the service component; an instant location service component receives the high priority location requirement and the recorded telecommunications and network base station geographic location Or measure the data of the base station at each reference point, and select the network base station and its data for comparison in the high priority order of the telecom base station, and compare the hit network. The geographical location of the base station, with the degree of trust as the weight to obtain the location, and finally observe whether it is found The network base station changes, if any, the changed wireless network base station is fed back to the trust weighting mechanism to process the service component; a cloud location service component receives the low priority positioning requirement and the recorded telecommunication and network base. The geographical location of the station or the data of the base station is measured at each reference point. The cloud positioning service component first concentrates the low-priority positioning requirements on the quantitative or timing, and then spreads them in parallel on different machines to compare the network bases. The geographical location of the station or the data of the base station is measured at each reference point, and when the comparison is completed on different machines that are independent of each other, each will be weighted with trust. To find out the tentative results for the proportions, the tentative results and their trust weights will be collectively collected to output the final positioning results; a trust weighting mechanism processes the service components, receiving the location data feedback and receiving by the instant location service component. The feedback data, the trust weighting mechanism processing service component will determine whether there is a new wireless network base station, to continuously collect the positioning data feedback, and use the triangulation method to find out the general situation of the wireless network base station on the map. Location, if these locations do not match the location of the wireless network base station in the record, the geographical distribution density is calculated multiple times for each of the three contribution data, if the contribution data is computationally intensive and the geographical location in the record When the difference is large, the trust value is lowered. If the new wireless network base station and its location, the density is the initial trust value. The wireless positioning system with the load balancing and the replacement function described in claim 10, wherein the high priority positioning requirement, the low priority positioning requirement, and the positioning data feedback contribution include the search by the client mobile device. Information about neighboring telecom base stations and wireless base stations. The wireless positioning system with the load balancing and the replacement function described in claim 10, wherein the positioning data feedback contribution means that the client mobile device includes a return function, and the reward function scans the neighboring telecommunication base station or the wireless device. Outside the base station, the current GPS position is more rewarded. The wireless positioning system with the load balancing and the replacement function described in claim 10, wherein the instant location service component is selected for comparison according to the telecommunication base station in the data transmitted by the high priority order positioning requirement. The data can then be quantified using a pre-recorded trust weight, and the average of the compared wireless network base station coordinates is the locating coordinate. A wireless positioning method with load balancing and replacement function as described in claim 11, wherein the telecommunication base station means that the recorded telecommunication and network base station data includes a telecommunication base station cover The scope is used as the network base station data contained in the catalog record. The wireless positioning method with the load balancing and the old-for-new function described in claim 12, wherein the recorded telecommunication and network base station data can measure the data of the base station for each reference point, and also the telecommunication base The station is a directory record. The wireless positioning method with the load balancing and the old-for-new function described in claim 10, wherein the trust weighting mechanism processes the wireless positioning method of the service component with the load balancing and the replacement function, wherein the instant positioning service component The Fingerprinting method is used to find the reference point RP of the closest K measurement base stations, and the positioning result is found by using the trust weights of the reference points RP of the K measurement base stations.