TWI884574B - Smart multiple routes reading system and method thereof - Google Patents

Abstract

Smart multiple routes reading system and method thereof are provided, the system integrates each smart livelihood meter such as smart water meter, smart electricity meter and smart gas meter into one system, each smart livelihood meter transmits meter reading data through its own communication module. When the communication module transmits the meter reading data, it will simultaneously send the mobile communication quality parameters at the time of transmission to a data center platform together with the number of times spent before successful transmission and the number of times spent before successful registration. The data center platform will transmit to a learning subsystem for model training, and it will be downloaded to each communication module in the form of software updates for deployment. Before transmitting the meter reading data, the model will be used and the mobile communication quality parameters of the original communication module and other communication modules will be compared, and the original communication module will be selected to send the meter reading data by itself or by other communication modules.

Description

Intelligent multi-route meter reading system and method

The present invention relates to a meter reading system and method, and in particular to an intelligent multi-route meter reading system and method.

With the continuous advancement of technology and the promotion of smart cities, water meters, electricity meters and gas meters that are closely related to people's lives can be connected to communication modules through electrical coupling. Not only can the measured data (water, electricity and gas usage) be regularly transmitted back to the cloud database of the public utility management unit through the network, but the traditional manual meter reading operation mode of obtaining data is gradually replaced.

However, the above method does not take into account the network communication quality of the locations where these civil meters are deployed. In addition, it is difficult to connect power to the internal electronic circuits at the installation locations of water meters and gas meters, so the internal communication module can only be powered by batteries. If the communication quality at the installation location of the water meter or gas meter is poor, or the base station user has refused to register the communication module on the smart water meter or gas meter, or other safety issues, the communication module will continue to try to connect to the background to upload data. In the long run, it will not only consume the battery power of the civil meter, but also affect the success rate of data transmission.

It can be seen from this that the above usage method still has many shortcomings and is not a good design, and it urgently needs to be improved.

The present invention provides a smart multi-route meter reading system and method, which allows the communication modules of smart water meters, smart electricity meters and smart gas meters to send the obtained meter reading data and meter body operation status to the data center platform by themselves or through other nearby communication modules to assist in transmission, thereby effectively improving the success rate and timeliness of data transmission.

The present invention discloses a smart multi-route meter reading system, including a terminal user livelihood meter subsystem, a mobile communication subsystem, an Internet subsystem, a data center platform, and a learning subsystem. The terminal user livelihood meter subsystem includes a plurality of smart livelihood meters and a plurality of communication modules. The plurality of smart livelihood meters are used to respectively record the meter reading data of the smart livelihood meters. The plurality of communication modules are respectively electrically connected to the smart livelihood meters, and are used to respectively read the meter reading data and status of the smart livelihood meters according to the meter reading instructions, and obtain the best data transmission path according to the identification codes of the communication modules and the mobile communication quality parameters, and send the meter reading data and status of the smart livelihood meters according to the best data transmission path. The mobile communication subsystem is connected to the terminal user's livelihood meter subsystem through the communication modules to receive the registration requests of the communication modules, allocate the network addresses required for data transmission, and receive the meter reading data and status of the smart livelihood meters. The data center platform is connected to the Internet subsystem to send meter reading instructions to the smart livelihood meters to perform meter reading operations, and receive and store the meter reading data and status of the smart livelihood meters through the Internet subsystem. The learning subsystem is electrically connected to the data center platform, receiving the identification codes of the communication modules, mobile communication quality parameters, and the best data transmission path transmitted by the data center platform for model training to update the communication modules.

The present invention discloses a smart multi-route meter reading method, comprising: sending a meter reading command to a plurality of smart public meters to perform a meter reading operation; reading the meter reading data and status of the smart public meters respectively according to the meter reading command, and obtaining the best data transmission path according to the identification codes of a plurality of communication modules and the mobile communication quality parameters, and sending the meter reading data of the smart public meters according to the best data transmission path. data and status; receive registration requests from these communication modules, assign network addresses required for data transmission, and receive meter reading data and status of these smart public meters; receive and store meter reading data and status of these smart public meters; and receive identification codes, mobile communication quality parameters, and optimal data transmission paths of these communication modules for model training to update these communication modules.

Based on the above, the present invention provides a smart multi-route meter reading system and method, which selects whether to send data by the original communication module itself or to assist in data transmission by a nearby communication module based on a model for evaluating the success rate of data transmission methods established in the system and the mobile communication quality parameters of each communication module of the smart water meter, smart electricity meter and smart gas meter. If the original communication module has a high success rate when sending data by itself, but fails to register with the mobile base station or transmit data exceeding the default value, the mobile communication quality parameters of each communication module can be used to find the identification code of the entrusted neighboring communication module, and the data can be transmitted to the entrusted communication module through the near-end RF communication technology. The entrusted communication module sends the data on behalf of the original communication module, so that even if one of the communication modules is in an environment with poor communication quality, it can still transmit data with the help of the neighboring communication module, thereby effectively improving the success rate and timeliness of data transmission.

In order to make the above features and advantages of the present invention more clearly understood, the following is a detailed description of the embodiments with the accompanying drawings.

100:System

110: End-user livelihood meter subsystem

120: Mobile communication subsystem

130: Internet subsystem

140:Data center platform

150:Learning subsystem

111: Smart water meter

112: Smart meter

113: Smart gas meter

210: Communication module

211: Meter reading unit

212:Interface unit

213:Internal communication unit

214: Storage unit

215:Multi-routing processing unit

216: Data transceiver unit

217: Encryption and decryption unit

218: Model unit

S301, S302, S303, S304, S305, S306, S307, S308, S309, S310, S311, S312, S313, S314, S315, S316, S317, S401, S402, S403, S404, S405, S406, S407, S408, S409, S410, S411, S412, S413, S414, S415, S416, S501, S502, S503, S504, S505, S506, S601, S602, S603, S604, S605: Steps

Figure 1 is a schematic diagram of a smart multi-route meter reading system according to an embodiment of the present invention.

Figure 2 is a schematic diagram of a communication module according to an embodiment of the present invention.

Figure 3 is a flow chart of sending encrypted data packets by itself or directly entrusting other communication modules to assist in sending according to a first embodiment of the present invention.

Figure 4 is a flow chart of sending data with the assistance of other communication modules according to a second embodiment of the present invention.

Figure 5 is a flow chart for multi-attribute ranking of the mobile communication quality parameters of each communication module.

Figure 6 is a flow chart of a method for intelligent multi-route table reading according to an embodiment of the present invention.

Some embodiments of the present invention will be described in detail with reference to the accompanying drawings. The component symbols used in the following description will be regarded as the same or similar components when the same component symbols appear in different drawings. These embodiments are only part of the present invention and do not disclose all possible implementation methods of the present invention.

Figure 1 is a schematic diagram of a smart multi-route meter reading system according to an embodiment of the present invention.

Please refer to FIG1 , the disclosed intelligent multi-route meter reading system 100 includes a terminal user daily meter subsystem 110, a mobile communication subsystem 120, an Internet subsystem 130, a data center platform 140, and a learning subsystem 150.

The terminal user's livelihood meter subsystem 110 includes a plurality of smart livelihood meters and a plurality of communication modules 210, and each smart livelihood meter is equipped with a communication module 210. Afterwards, the meter reading data and status of the smart livelihood meter to be uploaded are converted into TCP/UDP packets by the communication module 210, and the communication module 210 corresponding to the smart livelihood meter to be uploaded directly transmits data through the mobile communication subsystem 120 or indirectly through another communication module 210 through the mobile communication subsystem 120 in a wireless communication manner. The mobile communication subsystem 120 can be a 4G/5G network (including a base station) or an LTE Cat M1/NB-IOT network (including a base station). Then, the mobile communication subsystem 120 uploads the received meter reading data and status of the smart public meter to the data center platform 140 through the Internet subsystem 130, or the smart water meter 111, smart electricity meter 112 or smart gas meter 113 obtains the meter reading instruction from the data center platform 140 and executes the meter reading operation. The learning subsystem 150 can obtain the mobile communication quality parameters uploaded by the communication module 210 and the information on whether to entrust other communication modules 210 to transmit data (i.e., the best data transmission path) from the data center platform 140 for training, and the model generated after the training is completed can be deployed to the communication module 210 in an updated manner through the data center platform 140 .

In one embodiment, the smart public meter may include a smart water meter 111, a smart electricity meter 112, and a smart gas meter 113. The present invention is not limited thereto. The smart public meter is used to record the meter reading data of the smart water meter 111, the smart electricity meter 112, and the smart gas meter 113 respectively.

The plurality of communication modules 210 are electrically connected to the smart water meter 111, the smart electric meter 112 and the smart gas meter 113 respectively, and are used to read the meter reading data and status of the smart water meter 111, the smart electric meter 112 and the smart gas meter 113 respectively according to the meter reading instruction, and obtain the best data transmission path according to the identification code of each communication module 210 and the mobile communication quality parameter, and send the meter reading data and status of the smart water meter 111, the smart electric meter 112 and the smart gas meter 113 to the data center platform 140 through the mobile communication subsystem 120 and the Internet subsystem 130 according to the best data transmission path.

Figure 2 is a schematic diagram of a communication module according to an embodiment of the present invention.

Referring to FIG. 2 , the communication module 210 includes an interface unit 212, a meter reading unit 211, an internal communication unit 213, a storage unit 214, a multi-route processing unit 215, a data transceiver unit 216, an encryption unit 217, and a model unit 218.

The interface unit 212 is electrically connected to the smart water meter 111, the smart electricity meter 112, and the smart gas meter 113.

The meter reading unit 211 is electrically connected to the interface unit 212 to initialize each unit of the communication module 210, send instructions to other units in the communication module 210, and transmit meter reading instructions to the smart water meter 111, the smart electric meter 112, and the smart gas meter 113 through the interface unit 212 to perform meter reading operations, and receive meter reading data and status of the smart water meter 111, the smart electric meter 112, and the smart gas meter 113.

The internal communication unit 213 can activate the adjacent communication module 210 of the same level through the wireless radio frequency (RF) technology and exchange each other's identification codes and mobile communication quality parameters. Specifically, the internal communication unit 213 can receive the command of the meter reading unit 211, regularly wake up or start other communication modules 210 in the terminal user's daily life meter subsystem 110, and send broadcast packets to other communication modules 210 in the form of near-end RF technology. The broadcast packets may include the identification code and mobile communication quality parameters of the original communication module 210 itself, the identification code and mobile communication quality parameters returned by at least one or more other communication modules 210 (not the original communication module), and the encrypted meter reading data to be transmitted is transmitted to the communication module 210 with better mobile communication quality parameters. The internal communication unit 213 can request assistance in transmitting the above data and return a response message to the original communication module 210.

The storage unit 214 is electrically connected to the internal communication unit 213 to store the identification code and mobile communication quality parameters of the adjacent communication module 210 of the same level, and record the transmission event. In one embodiment, the storage unit 214 can store the identification code and mobile communication quality parameters of the communication module 210 returned by other communication modules 210, and overwrite the mobile communication quality parameters with the same identification code to save storage space, and store the meter reading data and status waiting to be transmitted, various instructions or response information, etc., but the present invention is not limited to this.

The multi-route processing unit 215 is electrically connected to the storage unit 214 to compare the mobile communication quality parameters of each communication module 210, evaluate the scores of the mobile communication quality parameters of each communication module 210, combine the scores with the identification codes of the communication modules 210, and sort the communication modules 210 according to the scores to obtain the best data transmission path. Specifically, the multi-route processing unit 215 can process the mobile communication quality parameters of other communication modules 210 stored in the storage unit 214, encapsulate and encrypt the meter reading data to be transmitted and store it in the storage unit 214, and select the best data transmission path before sending the meter reading data, and then notify the meter reading unit 211 that the meter reading data can be transmitted.

The data transceiver unit 216 is electrically connected to the multi-route processing unit 215 to send a registration request to the wireless base station in a wireless manner to obtain the network address of data transmission and the mobile communication quality parameters during registration. Furthermore, the data transceiver unit 216 can register with the mobile communication subsystem 120 and obtain a network address that can be connected to the Internet, obtain its own mobile communication quality parameters and pass them to the meter reading unit 211 and then store them in the storage unit 214, and transmit data and receive instructions and response information from the data center platform 140 through the mobile communication subsystem 120 and the Internet subsystem 130, or assist other communication modules 210 in sending meter reading data and status to the data center platform 140, and notify the meter reading unit 211 to receive the meter reading data and status for subsequent processing. The data transceiver unit 216 and the mobile communication subsystem 120 can receive and transmit data through 4G, 5G, Narrowband Internet of Things (NB-IOT) or Cat M1 communication technology, and the communication protocol between the data transceiver unit 216 and the data center platform 140 is established using TCP or UDP.

The encryption and decryption unit 217 is electrically connected to the meter reading unit 211 and the storage unit 214 respectively, and is used to encrypt the meter reading data transmitted by the meter reading unit 211 or decrypt the received meter reading data and store it in the storage unit 214.

The model unit 218 is electrically connected to the multi-route processing unit 215. The model unit 218 may include a model. The model unit 218 is used to evaluate the best data transmission path through the model according to the mobile communication quality parameters obtained by the data transceiver unit 216 after registration, wherein the best data transmission path may include the meter reading data being transmitted by the current communication module 210 to the data center platform 140 and being transmitted by another communication module 210 to the data center platform 140. In one embodiment, after the data transceiver unit 216 receives the new model, the meter reading unit 211 updates it. Before sending data, it will be evaluated based on the model and the current mobile communication quality parameters, and provide the meter reading unit 211 with the success rate data of the current communication module 210 sending data by itself and directly entrusting other communication modules 210 to send data. The meter reading unit 211 can combine this success rate data with the communication module 210 selected by the multi-route processing unit 215 to select the best data transmission path.

The interface unit 212, the meter reading unit 211, the internal communication unit 213, the storage unit 214, the multi-route processing unit 215, the data transceiver unit 216, the encryption unit 217, and the model unit 218 can be implemented by software, firmware, hardware circuits, or any combination thereof, and the present disclosure does not limit the implementation of the interface unit 212, the meter reading unit 211, the internal communication unit 213, the storage unit 214, the multi-route processing unit 215, the data transceiver unit 216, the encryption unit 217, and the model unit 218.

The mobile communication subsystem 120 is connected to the end user's household meter subsystem 110 through the communication module 210. The mobile communication subsystem 120 is used to receive the registration request of the communication module 210, distribute the network address required for data transmission, and receive the meter reading data and status of the smart water meter 111, the smart electricity meter 112 and the smart gas meter 113.

The data center platform 140 is connected to the Internet subsystem 130 for communication, and sends meter reading instructions to the smart water meter 111, the smart electricity meter 112, and the smart gas meter 113 to perform meter reading operations, and receives and stores the meter reading data and status of the smart water meter 111, the smart electricity meter 112, and the smart gas meter 113 through the Internet subsystem 130.

The learning subsystem 150 is electrically connected to the data center platform 140, and receives the identification code, mobile communication quality parameters, and optimal data transmission path of the communication module 210 transmitted by the data center platform 140 to perform model training to update the communication module 210.

In the following, the method described in the embodiment of the present invention will be described with reference to the various devices, components and modules in Figures 1 and 2. The various processes of the method can be adjusted according to the implementation situation, but are not limited to this.

FIG3 is a flowchart of the first embodiment of the present invention for sending encrypted data packets by itself or directly entrusting other communication modules to assist in sending. The following is an example of a communication module 210 of the smart multi-route meter reading system 100 to explain the process of using the data transmission method selected by the multi-route processing unit 215 to transmit the meter reading data and status of the smart public meter (taking the smart water meter as an example), and transmitting the meter reading data and status to the data center platform 140 through the mobile communication subsystem 120 and the Internet network subsystem 130.

Please refer to Figures 1 to 3. In step S301, before the communication module 210 transmits data (such as meter reading data and status) to the data center platform 140, the data transceiver unit 216 must first register with the mobile communication subsystem 120 to obtain the current mobile communication quality parameters and the network address (IP) of the network.

In step S302, the current mobile communication quality parameters and the network address of the connected network are stored in the storage unit 214.

In step S303, the model unit 218 performs evaluation based on the current mobile communication quality parameters and the network address of the connected network.

In step S304, the encryption and decryption unit 217 encrypts the transmitted data according to a specific format.

In step S305, the encrypted data is stored in the storage unit 214.

In step S306, the meter reading unit 211 prepares to send data.

In step S307, the meter reading unit 211 obtains the success rate of the current communication module 210 sending data by itself and directly entrusting other communication modules 210 to send data from the model unit 218 through edge calculation, and determines whether the current communication module 210 sends data by itself.

In step S308, if the evaluation result shows that the success rate of the current communication module 210 (also referred to as the original communication module 210) is high, it is determined that the current communication module 210 sends the data by itself. At this time, the meter reading unit 211 sends a command to the data transceiver unit 216 to complete the data transmission.

In step S309, it is determined whether the response information from the data center platform 140 is successfully received.

In step S310, if the response information from the data center platform 140 is successfully received, the data in the storage unit 214 is deleted and the sending event is recorded.

In step S311, if no response information is received from the data center platform 140, after waiting for a preset period of time, return to step S308 and resend the data.

In step S312, if the success rate of entrusting other communication modules 210 to send data is high, the meter reading unit 211 can obtain the identification code of the communication module 210 with the highest ranking of mobile communication quality by the multi-route processing unit 215 from the storage unit 214.

In step S313, the internal communication unit 213 wakes up the nearby communication module 210 through the near-end RF technology and broadcasts the encrypted data and the identification code of the communication module 210.

In step S314, after receiving the data, the entrusted communication module 210 starts the same data transmission processing procedure as the above (steps S308, S309, S310 and S311).

In step S315, the response information from the data center platform 140 is successfully received.

In step S316, the response information is transmitted to the original communication module 210 via the near-end RF communication technology.

In step S317, the original communication module 210 deletes the data after receiving the response information and writes the event into the record.

Figure 4 is a flow chart of sending data with the assistance of other communication modules according to a second embodiment of the present invention.

Please refer to Figures 1, 2 and 4. In step S401, the communication module 210 requires the data transceiver unit 216 to send a registration request to the mobile communication subsystem 120 and determine whether the registration fails.

If registration fails, in step S402, determine whether the number of registration failures exceeds the set value.

If the registration is successful, in step S403, the meter reading unit 211 will request the data transceiver unit 216 to send data to the data center platform 140 to determine whether the number of failures in sending the same data exceeds the preset value. If the number of failures in sending the same data to the data center platform 140 exceeds the preset value and still fails to obtain a response message, then step S404 is performed, and the meter reading unit 211 will request the internal communication unit 213 to wake up other nearby communication modules 210 by broadcasting.

In step S404, if the number of registration failures exceeds the set value, the meter reading unit 211 will request the internal communication unit 213 to wake up other nearby communication modules 210 by broadcasting.

In step S405, the identification code and mobile communication quality parameters of other communication modules 210 are obtained.

In step S406, the identification code of the other communication module 210 and the mobile communication quality parameter are stored in the storage unit 214.

In step S407, the meter reading unit 211 requests the multi-routing processing unit 215 to find the identification code of other communication modules 210 having better mobile communication quality parameters.

In step S408, the encryption and decryption unit 217 encrypts the transmission data and encapsulates it together with the identification code of the communication module 210 that requests assistance in transmitting data.

In step S409, the encrypted data and the identification code of the communication module 210 that requests assistance in transmitting data are stored in the storage unit 214.

In step S410, the meter reading unit 211 is notified to prepare to send the encrypted data.

In step S411, the meter reading unit 211 requests the internal communication unit 213 to broadcast the encrypted data.

In step S412, the entrusted communication module 210 will send a response message to the original communication module 210 after receiving the encrypted data.

In step S413, the entrusted communication module 210 sends the encrypted data.

In step S414, the entrusted communication module 210 receives the response information returned by the data center platform 140.

In step S415, the entrusted communication module 210 transmits the response information of the data center platform 140 to the original communication module 210.

In step S416, the original communication module 210 deletes the data stored in the storage unit 214 after receiving the response information, and records the event in the storage unit 214.

It should be noted that each time the data uploaded by the communication module 210 includes at least the mobile communication quality parameters and whether it is entrusted to other communication modules 210 for transmission, etc., the data center platform 140 transmits it to the learning subsystem 150 for model building and fine-tuning. There are many ways to build the model, such as supervised learning or non-supervised learning, but the present invention is not limited to this. If the model is established and the performance is better than before, the learning subsystem 150 will hand it over to the data center platform 140 and deploy it to all communication modules 210 through updates.

In addition, in order to prevent data from taking too long to be transmitted on the network, the number of entrusted communication modules 210 can be limited by counting. Once the maximum value is reached, the data must be transmitted and cannot be returned to the previous communication module 210.

As for the part where the multi-route processing unit 215 performs mobile communication quality ranking, the evaluation source is mainly based on the mobile communication quality parameters returned by other communication modules 210 and the mobile communication quality parameters of the original communication module 210 itself. In one embodiment, the mobile communication quality parameters may include signal-to-noise ratio (SNR), reference signal receiving power (RSRP), received signal code power (RSCP), reference signal received quality (RSRQ) and radio resource control (RRC) connection establishment success rate. In another embodiment, the mobile communication quality parameters may include mobile communication signal strength, the average number of times required for each successful registration, and the average number of times required for the previous successful data upload, wherein the smaller the average number of times required for successful registration and the average number of times required for successful data upload, the better. However, the present invention is not limited to this.

Before the communication module 210 transmits data, the multi-route processing unit 215 compares at least one set of mobile communication quality parameters of other communication modules 210 stored in the storage unit 214 with the mobile communication quality parameters of the current communication module 210 (i.e., the original communication module 210). The multi-route processing unit 215 sorts the at least one set of mobile communication quality parameters from other communication modules 210 stored in the storage unit 214 and the mobile communication quality parameters of the original communication module 210. There are many sorting methods, and only one method is cited here for illustration, but the present invention is not limited to this.

Figure 5 is a flow chart for multi-attribute ranking of the mobile communication quality parameters of each communication module.

Please refer to FIG. 5 , in step S501, the table reading unit 211 first declares the object storing the mobile communication quality parameter.

In step S502, the multi-route processing unit 215 stores the mobile communication quality parameters into objects according to items or names, such as objects {"SNR": signal-to-noise ratio, "average number of times required for successful registration": average number of times required for successful registration, "average number of times required for successful transmission": average number of times required for successful transmission, ...}.

In step S503, all objects storing the mobile communication quality parameters of each communication module 210 have been added to the array.

In step S504, when sorting, the multi-route processing unit 215 compares and scores the mobile communication quality parameters of multiple other communication modules 210 with the original communication module 210 one-to-one, that is, scores each item.

In step S505, the score is calculated. The more items a compared communication module 210 is superior to the original communication module 210, the higher its score.

In step S506, after the scoring is completed, the count value and the identification code of the compared communication module 210 are combined and sorted.

In addition to the SNR, RSRP and RSRQ of the original communication module 210, the above-mentioned mobile communication quality parameters also include the RRC (Radio Resource Control) connection establishment success rate. In the intelligent multi-route meter reading system 100, each communication module 210 can be regarded as a UE. Before uploading data, it must complete the registration with the mobile communication subsystem 120. Only after the registration is accepted can the subsequent data transmission action be performed. This intermediate process is called the RRC connection establishment success rate RC _SR , which is defined as the ratio of the total number of RRC connection establishment successes Σ RRC_Success initiated by the communication module 210 or the mobile communication subsystem 120 during the statistical time to the total number of RRC connection establishment requests Σ RRC_Attepmts . The calculation method can refer to Formula 1.

In addition, each time the data is uploaded to the data center platform 140, the mobile communication quality parameters will be transferred to the learning subsystem 150. After receiving these mobile communication quality parameters, the learning subsystem 150 uses the relevant data sent by itself or entrusted to train the model in combination with the data transmission method. After the training is completed, it is deployed to each communication module 210 through an update method. There are many training methods, such as logical regression, random forest and even neural network. The present invention is not limited to this.

Taking the method of logical regression as an example, the mobile communication quality parameter, the number of times used before successful transmission, and the number of times used before successful registration are regarded as the input values of a multivariate linear equation. As for the output, it is a kind of classification. In short, it is sent by itself or sent by entrustment. Then the difference between the simulated output and the real output is continuously calculated to find a set of optimal weight values as the coefficients in front of each variable of this multivariate linear equation. Finally, if it can pass the test, it will be downloaded to each communication module 210 for deployment by software update.

Logical regression is a basic classification model, and its goal is to find a straight line that can clearly separate and classify all data. In this embodiment, the data is the mobile communication quality parameter, the number of times used before successful transmission, and the number of times used before successful registration. The result is the probability of successfully transmitting the meter reading data to the data center platform 140 under a limited number of self-transmission times (for example, 2 times).

The parameter x obtained by the learning subsystem 150 may include the RRC connection establishment success rate, whether to send data by itself or by entrusting it, the SNR, RSRP, RSRQ at the time of data transmission, and other data that can evaluate the quality of mobile communication and improve the data transmission success rate, but the present invention is not limited thereto.

Assume that in a logical regression, the relationship between the independent variable (input data x ) and the dependent variable (output result Y ) changes exponentially. Let the dependent variable Y be a binary response variable (success or failure), and P is the probability of success, which is affected by the independent variable x . The relationship between P and x can be written as: The probability of success of event Y :

The probability of failure of event Y is:

The value of P is between 0 and 1. When P is close to 0, it means that the chance of success of Y is very small, and when it is close to 1, it means that the chance of success is very high. In other words, the communication module 210 has a high chance of successfully transmitting the meter reading data to the data center platform 140 within a limited number of transmissions, or the odds are very high.

The aforementioned definition of odds is the ratio of the probability of success of an event to the probability of failure, which is as follows:

The logical regression equation is to take the natural logarithm of the odds of winning:

Where θi is the so-called weight, _and when i = 0, it is called the deviation value. xi is the input data, that is, the mobile communication quality parameters (SNR, RSRI, RSRP, number of successful registrations and number _of successful transmissions, etc.). The known parts in formula 5 are the _input data xi and _the output result f ( x ). The next step is to find the coefficient θi in front of each xi _. The process of finding _θi is to train the model. The difference between the output of the model and the true output can be represented by the loss function. Then the difference between the output of this trained model and the true output should be the smallest. The method to find the method that can minimize the gap is to use maximum likelihood estimation.

Solution process: Let the probability of output Y = 1 and output Y = 0 be Formula 6 and Formula 7 respectively: P ( Y = 1 | x ; θ ) = h _θ ( x )...Formula 6

P ( Y =0| x ; θ )=1- h _θ ( x )...Formula 7

where h _θ ( x ) has been defined in Formula 2.

From Equation 6 and Equation 7, we can use the maximum likelihood estimation method to solve for all θ _i .

After combining Formula 6 and Formula 7, when y is a certain output value, it becomes: P ( Y | x ; θ ) = h _θ ( x ) ^y * (1- h _θ ( x )) ^{1- y} ...Formula 8

Since _each xi is independent of the output yi _, the likelihood function is:

Taking the natural logarithm on both sides of the equal sign in formula 9 yields:

or

When l ( θ ) reaches its maximum value, a set of optimal solutions is obtained. Then, after testing and fine-tuning, a model can be obtained and deployed to each communication module 210 using a software update method.

Afterwards, before sending data, each smart public meter will use the above model and the mobile communication quality parameters at that time to evaluate the success rate of the data transmission. In one embodiment, if the success rate of the smart water meter's self-transmission is lower than the set value, it can entrust other nearby smart public meters (such as smart electricity meters) to send data on its behalf. If the success rate of the smart water meter's self-transmission is higher than the set value, but due to some factors, the number of registrations or transmissions exceeds the set value, the communication module of the smart water meter's self-transmission success rate can still find the most appropriate nearby communication module 210 to send data on its behalf by comparing the mobile communication quality parameters of each communication module. In other words, regardless of whether the communication module 210 of the smart water meter sends the data directly or through a proxy, the meter reading data can be successfully transmitted to the data center platform 140, thereby achieving the purpose of improving the success rate of data transmission and extending the battery life.

In one embodiment, regardless of whether the data is sent by itself or by entrusting another, after receiving the reply information from the data center platform 140, the communication module 210 will record the data sending event and delete the record at the time of sending to indicate that the case is closed. If the data is sent by entrusting a neighboring communication module 210, the entrusted communication module 210 will send the reply information from the data center platform 140 back to the original communication module 210, then record the reply information, delete the previous transmission record, and store the mobile communication quality parameters at the time of sending.

In one embodiment, each communication module 210 of the smart water meter, smart electricity meter, and smart gas meter has a unique identification code and a group code of the area to which it belongs. The group code limits the scope of each communication module 210 to collect the mobile communication quality of other neighboring communication modules 210, to prevent data from being transmitted to a farther place without limit. At the same time, if the data is exposed for too long, there will be security concerns. The number of entrustments is also limited to two times (that is, within two levels) to avoid extending the data transmission time due to too many entrustments or data being transmitted too far.

The present invention allows the originally independent smart water meters, smart electricity meters and smart gas meters to be integrated together. After comparing the mobile communication quality parameters of each smart public meter with other smart public meters, the original communication module 210 can first transmit data by itself. If the number of self-transmissions exceeds the preset value and no response from the data center platform 140 is obtained, the communication module 210 of other smart public meters with better transmission success rates can be entrusted to assist in transmission, so as to improve the success rate of data transmission and save the power consumption of its internal battery, which can not only extend the service life, but also save the cost of replacing batteries in the future.

Figure 6 is a flow chart of a method for intelligent multi-route meter reading according to an embodiment of the present invention.

Please refer to FIG. 6 , in step S601, a meter reading instruction is sent to each smart livelihood meter to perform a meter reading operation.

In step S602, the meter reading data and status of the smart public meter are read respectively according to the meter reading command, and the best data transmission path is obtained according to the identification code of the communication module and the mobile communication quality parameter, and the meter reading data and status of each smart public meter are sent according to the best data transmission path.

In step S603, the registration request of the communication module is received, the network address required for data transmission is allocated, and the meter reading data and status of the smart household meter are received.

In step S604, the meter reading data and status of the smart household meter are received and stored.

In step S605, the communication module identification code, mobile communication quality parameters, and optimal data transmission path are received for model training to update the communication module.

Based on the above, the present invention provides a smart multi-route meter reading system and method, which selects whether to send data by the original communication module itself or to assist in data transmission by a nearby communication module based on a model for evaluating the success rate of data transmission methods established in the system and the mobile communication quality parameters of each communication module of the smart water meter, smart electricity meter and smart gas meter. If the original communication module has a high success rate when sending by itself, but fails to register with the mobile base station or transmit data exceeding the default value, the identification code of the entrusted neighboring communication module can be found through the mobile communication quality parameters of each communication module, and the data can be transmitted to the entrusted communication module through the near-end RF communication technology. The entrusted communication module sends the data on behalf of the entrusted communication module, so that even if one of the communication modules is in an environment with poor communication quality, it can still transmit data with the assistance of the neighboring communication module, thereby effectively improving the success rate and timeliness of data transmission.

Although the present invention has been disclosed as above by the embodiments, it is not intended to limit the present invention. Anyone with ordinary knowledge in the relevant technical field can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of the attached patent application.

100: System

110: End-user livelihood meter subsystem

120: Mobile communication subsystem

130: Internet subsystem

140:Data center platform

150:Learning subsystem

111: Smart water meter

112: Smart meter

113: Smart gas meter

210: Communication module

Claims (10)

A smart multi-route meter reading system, comprising: A terminal user livelihood meter subsystem, comprising: A plurality of smart livelihood meters, for recording the meter reading data of the smart livelihood meters respectively; and A plurality of communication modules, electrically connected to the smart livelihood meters respectively, for reading the meter reading data and status of the smart livelihood meters respectively according to the meter reading instructions, and obtaining the best data transmission path according to the identification codes of the communication modules and the mobile communication quality parameters, and sending the meter reading data and status of the smart livelihood meters according to the best data transmission path, wherein each of the communication modules comprises: An internal communication unit, used to activate neighboring communication modules of the same level and exchange the identification codes and mobile communication quality parameters, and transmit the encrypted meter reading data to be transmitted to the communication module with the best mobile communication quality parameters by sending broadcast packets; A mobile communication subsystem, which is connected to the terminal user's livelihood meter subsystem through the communication modules, is used to receive the registration requests of the communication modules, allocate the network addresses required for data transmission, and receive the meter reading data and status of the smart livelihood meters; An Internet subsystem; A data center platform is connected to the Internet subsystem for communication, sends the meter reading command to the smart public meters to perform the meter reading operation, and receives and stores the meter reading data and status of the smart public meters through the Internet subsystem; and A learning subsystem is electrically connected to the data center platform, receives the identification codes of the communication modules, the mobile communication quality parameters and the data transmission best path transmitted by the data center platform for model training, and deploys the models generated after the training to the communication modules in the form of software updates to update the communication modules. A system as described in claim 1, wherein each of the communication modules comprises: an interface unit electrically connected to the smart public meters; a meter reading unit electrically connected to the interface unit, used to initialize the communication module, transmit the meter reading command to the smart public meters via the interface unit to execute the meter reading operation, and receive the meter reading data and status of the smart public meters; a storage unit electrically connected to the internal communication unit, used to store the identification code and the mobile communication quality parameter of the neighboring communication module of the same level, and record the transmission event; A multi-route processing unit, electrically connected to the storage unit, for comparing the mobile communication quality parameters of the communication modules to obtain the best data transmission path; A data transceiver unit, electrically connected to the multi-route processing unit, for sending the registration request to the wireless base station in a wireless manner to obtain the network address of the data transmission and the mobile communication quality parameters during registration; An encryption and decryption unit, electrically connected to the meter reading unit and the storage unit, respectively, for encrypting the meter reading data transmitted by the meter reading unit or decrypting the received meter reading data and storing them in the storage unit; and A model unit is electrically connected to the multi-route processing unit, including a model, and the model unit is used to evaluate the success rate of the best data transmission path through the model according to the mobile communication quality parameter obtained by the data transceiver unit after registration, wherein the best data transmission path includes the meter reading data being transmitted by the communication module to the data center platform and being transmitted by another communication module to the data center platform. A system as described in claim 2, wherein the mobile communication quality parameters include at least signal-to-noise ratio (SNR), reference signal receiving power (RSRP), received signal code power (RSCP), reference signal received quality (RSRQ) and radio resource control (RRC) connection establishment success rate. In the system of claim 2, the internal communication unit is further used to activate adjacent communication modules of the same level through wireless radio frequency (RF) technology and exchange the identification codes and the mobile communication quality parameters with each other. The system as described in claim 2, wherein the multi-routing processing unit is further used to evaluate the scores of the mobile communication quality parameters of the communication modules, combine the scores with the identification codes of the communication modules, and sort the communication modules according to the scores. A smart multi-route meter reading method, comprising: Sending a meter reading instruction to a plurality of smart public meters to perform a meter reading operation; Read the meter reading data and status of the smart public meters respectively according to the meter reading command, and obtain the best data transmission path according to the identification codes of multiple communication modules and mobile communication quality parameters, and send the meter reading data and status of the smart public meters according to the best data transmission path, wherein the steps of reading the meter reading data and status of the smart public meters respectively according to the meter reading command, and obtaining the best data transmission path according to the identification codes of multiple communication modules and mobile communication quality parameters, and sending the meter reading data and status of the smart public meters according to the best data transmission path further include: Activate neighboring communication modules of the same level and exchange the identification codes and the mobile communication quality parameters with each other, and transmit the encrypted meter reading data to be transmitted to the communication module with the best mobile communication quality parameters by sending broadcast packets; Receive registration requests from the communication modules, allocate network addresses required for data transmission, and receive meter reading data and status of the smart public meters; Receive and store the meter reading data and status of the smart public meters; and Receive the identification codes, mobile communication quality parameters and the best data transmission path of the communication modules for model training, and deploy the models generated after the training to the communication modules respectively in the form of software updates to update the communication modules. As described in claim 6, the meter reading data and status of the smart public meters are read respectively according to the meter reading instruction, and the best data transmission path is obtained according to the identification codes and mobile communication quality parameters of multiple communication modules, and the step of sending the meter reading data and status of the smart public meters according to the best data transmission path further includes: Receiving the meter reading data and status of the smart public meters; Storing the identification code and the mobile communication quality parameter of the neighboring communication module of the same level, and recording the transmission event; Comparing the mobile communication quality parameters of the communication modules to obtain the best data transmission path; Sending the registration request to the wireless base station wirelessly to obtain the network address of data transmission and the mobile communication quality parameter at the time of registration; Encrypting the meter reading data or decrypting the received meter reading data and storing it; and Evaluating the success rate of the best data transmission path through a model based on the mobile communication quality parameter obtained after registration, wherein the best data transmission path includes the meter reading data being transmitted by the communication module itself and being transmitted by another communication module. A method as described in claim 7, wherein the mobile communication quality parameters include at least signal-to-noise ratio (SNR), reference signal receiving power (RSRP), received signal code power (RSCP), reference signal received quality (RSRQ) and radio resource control (RRC) connection establishment success rate. As described in claim 7, the step of activating neighboring communication modules of the same level and exchanging the identification codes and the mobile communication quality parameters further includes: Activating neighboring communication modules of the same level and exchanging the identification codes and the mobile communication quality parameters through wireless radio frequency (RF) technology. As described in claim 7, the step of comparing the mobile communication quality parameters of the communication modules to obtain the best data transmission path further includes: Evaluating the scores of the mobile communication quality parameters of the communication modules, combining the scores with the identification codes of the communication modules, and sorting the communication modules according to the scores.

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