Self-adaptive network searching method applied to intelligent electric meter and related equipment

Abstract

The embodiment of the invention provides a self-adaptive network searching method applied to an intelligent electric meter and related equipment, and relates to the technical field of network searching of a wireless communication module, and the method comprises the steps: searching and obtaining a plurality of operator networks covered by the position where the intelligent electric meter is located; confirming a cellular cell with the best signal of each operator network signal under the 3GPP standard; respectively measuring the RSRP, the RSRQ, the CSQ and the SNR of each cellular cell when the cellular cell is covered by an operator network; weighting calculation is carried out based on the calculated RSRP, RSRQ, CSQ and SNR of each cellular cell; and determining an optimal operator network based on a weighted calculation result, and enabling the intelligent electric meter to reside in a cellular cell corresponding to the optimal operator network. The method can ensure that the intelligent electric meter is always connected with the optimal operator network, improves the remote communication quality of the intelligent electric meter, and improves the user experience.

Description

Technical Field

[0001] The present application relates to the technical field of wireless communication module network search, and in particular to an adaptive network search method and related equipment applied to smart meters. Background Art

[0002] Wireless communication modules play an indispensable role in the continuous development of IoT technology. Various terminal devices can realize remote management, data collection and other functions by relying on wireless communication modules. Smart meters are IoT terminal devices that integrate wireless communication modules on the basis of traditional meters and can perform long-distance wireless communication by carrying base stations and core networks.

[0003] PLMN (Public Land Mobile Network) can represent the operator network. In general, most areas are covered by multiple PLMNs at the same time. Due to the different installation locations of smart meters, the influence of obstructions, and the influence of changes in the operator's network environment, each smart meter searches for different surrounding network information, and the final registered PLMN may also be different. Under normal circumstances, the higher the signal strength of the PLMN network registered by the wireless communication module, the better the signal quality, and the less noise interference, the higher the communication success rate between the smart meter and the central system, and the better the user experience. The lower the signal strength of the registered PLMN network, the worse the signal quality, and the more noise interference, the greater the probability of the terminal device losing the network, and the greater the probability of packet loss during communication, which ultimately affects the remote communication effect.

[0004] At present, when wireless communication devices search for networks each time they are turned on, they mainly search for suitable operator networks for registration in the order of RPLMN (registered PLMN), HPLMN (home PLMN), UPLMN (user PLMN), and OPLMN (operator PLMN) according to the 3GPP protocol. Among them, RPLMN is a network that has been registered in the past. After each network search and successful registration, the device will save the network information to facilitate priority search and registration the next time it is turned on. Even if there is a PLMN with better quality around the device, the device may still ignore the PLMN and register with the RPLMN.

[0005] Therefore, there is an urgent need for a network search method that can assist smart meters in adaptively searching and registering to the optimal operator network in various complex network environments. Summary of the invention

[0006] The embodiments of the present application provide an adaptive network search method and related equipment applied to a smart meter to solve the technical problems existing in the prior art.

[0007] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0008] According to a first aspect of an embodiment of the present application, there is provided an adaptive network search method applied to a smart meter, characterized by comprising:

[0009] Search and obtain the coverage of multiple operator networks at the location of the smart meter;

[0010] Identify the cellular cell with the best signal under the 3GPP standard for each operator's network;

[0011] Measure RSRP, RSRQ, CSQ and SNR of each cell when covered by the operator network;

[0012] Perform weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cell;

[0013] The optimal operator network is confirmed based on the weighted calculation result, and the smart meter is placed in the cellular cell corresponding to the optimal operator network.

[0014] In some embodiments of the present application, based on the above solution, measuring the RSRP of each cellular cell when it is covered by the operator network includes:

[0015] RSRP sampling is performed once every time interval T1, for a total of X1 times;

[0016] The X1 RSRPs obtained by sampling are averaged and the average RSRP value is taken as the final RSRP.

[0017] In some embodiments of the present application, based on the above solution, measuring the RSRQ of each cellular cell when it is covered by the operator network includes:

[0018] RSRQ sampling is performed once every time interval T2, for a total of X2 times;

[0019] The X2 RSRQs obtained by sampling are averaged and the average RSRQ value is taken as the final RSRQ.

[0020] In some embodiments of the present application, based on the above solution, measuring the CSQ of each cellular cell when covered by the operator network includes:

[0021] CSQ sampling is performed once every time interval T3, for a total of X3 times;

[0022] The X3 CSQs obtained by sampling are averaged and the average CSQ value is taken as the final CSQ.

[0023] In some embodiments of the present application, based on the above solution, measuring the SNR of each cellular cell when it is covered by the operator network includes:

[0024] SNR sampling is performed once every time interval T4, for a total of X4 times;

[0025] The X4 SNRs obtained by sampling are averaged and the average SNR value is taken as the final SNR.

[0026] In some embodiments of the present application, based on the above-mentioned solution, the weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cellular cell includes:

[0027] Obtain RSRP, RSRQ, CSQ and SNR of each cell and perform weighted calculation using formula (1);

[0028] score = a*RSRP + b*RSRQ + c*CSQ + d*SNR; (1)

[0029] Among them, score represents a weighted score, a represents the weight of RSRP, b represents the weight of RSRQ, c represents the weight of CSQ, d represents the weight of SNR, and a+b+c+d=1.

[0030] In some embodiments of the present application, based on the above solution, the step of determining the optimal operator network based on the weighted calculation result includes:

[0031] The operator network with the highest weighted score is selected as the optimal operator network based on the weighted scores.

[0032] According to a second aspect of an embodiment of the present application, there is provided an adaptive network search device applied to a smart meter, comprising:

[0033] An acquisition unit, used for searching and acquiring multiple operator networks covering the location where the smart meter is located;

[0034] A first confirmation unit is used to confirm the cellular cell with the best signal of each operator's network under the 3GPP standard;

[0035] A measurement unit, used to measure RSRP, RSRQ, CSQ and SNR of each cellular cell when covered by the operator network;

[0036] A calculation unit, configured to perform weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cellular cell;

[0037] The second confirmation unit is used to confirm the optimal operator network based on the weighted calculation result, and reside the smart meter in the cellular cell corresponding to the optimal operator network.

[0038] According to a third aspect of an embodiment of the present application, a computer-readable storage medium is provided, wherein the storage medium stores computer instructions, and when the computer instructions are executed on a computer, the computer executes the method according to the first aspect.

[0039] According to a fourth aspect of the embodiments of the present application, there is provided an electronic device, including a memory and a processor;

[0040] The memory is used to store computer instructions;

[0041] The processor is used to call the computer instructions stored in the memory so that the electronic device executes the method as described in the first aspect.

[0042] This application has the following beneficial effects:

[0043] Search and measure the current optimal operator network in real time, switch when idle, ensure that smart meters always maintain connection with the optimal operator network, improve the quality of smart meter remote communication, and enhance user experience.

[0044] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0046] Figure 1 A schematic diagram of a process of an adaptive network search method applied to a smart meter according to an embodiment of the present application is shown;

[0047] Figure 2 A block diagram of an adaptive network search system applied to a smart meter according to an example of the present application is shown;

[0048] Figure 3 A block diagram of an adaptive network search device applied to a smart meter according to an embodiment of the present application is shown;

[0049] Figure 4 A block diagram of an electronic device according to an embodiment of the present application is shown;

[0050] Figure 5 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0051] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0052] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0053] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0054] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0055] It should be noted that the “plurality” mentioned in this article refers to two or more.

[0056] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Some embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments may be combined with each other.

[0058] See also Figure 1 , shows a flow chart of an adaptive network search method applied to a smart meter according to an embodiment of the present application.

[0059] like Figure 1 As shown, an adaptive network search method applied to a smart meter is shown, which specifically includes steps S100 to S500.

[0060] refer to Figure 1 , step S100, searching and obtaining multiple operator networks covering the location of the smart meter.

[0061] It should be noted that after obtaining multiple operator networks, an operator network list may be generated based on these operator networks to facilitate subsequent processing.

[0062] Continue to refer Figure 1 , step S200, confirm the cellular cell with the best signal of each operator's network under the 3GPP standard.

[0063] It can be understood that the 3GPP standard refers to the third-generation mobile communication standard - Universal Mobile Telephone System (UMTS Universul Mobile Telephone System) based on the GSMMAP core network and WCDMA as the wireless interface. It is also responsible for defining protocols compatible with the ANSl-41 core network on the wireless interface.

[0064] Continue to refer Figure 1 , step S300, respectively measuring the RSRP, RSRQ, CSQ and SNR of each cellular cell when it is covered by the operator network.

[0065] It should be noted that, in the present application, RSRP refers to reference signal received power, RSRQ refers to reference signal received quality, CSQ refers to carrier signal quality, and SNR refers to signal-to-noise ratio.

[0066] For example, the search results show that the operator networks covering the location of the smart meter are PLMN1, PLMN2, ..., PLMN n , according to these PLMN1, PLMN2, ..., PLMN n Generate a PLMN preferred list;

[0067] According to PLMN1, PLMN2, ..., PLMN in the PLMN preferred list n, respectively confirm the optimal cellular cells cell1, cell2, ..., cell corresponding to each operator's network n , recorded in the PLMN preferred list;

[0068] Measure the cellular cells cell1, cell2, ..., cell n RSRP1, RSRP2, ..., RSRP n , recorded in the PLMN preferred list;

[0069] Measure the cellular cells cell1, cell2, ..., cell n RSRQ1, RSRQ2, …, RSRQ n , recorded in the PLMN preferred list;

[0070] Measure the cellular cells cell1, cell2, ..., cell n CSQ1, CSQ2, ..., CSQ n , recorded in the PLMN preferred list;

[0071] Measure the cellular cells cell1, cell2, ..., cell n SNR1, SNR2, …, SNR n , recorded in the PLMN preferred list.

[0072] It should be noted that, in this application, PLMN refers to a network operator.

[0073] In some feasible embodiments, based on the above solution, measuring the RSRP of each cellular cell when it is covered by the operator network includes:

[0074] RSRP sampling is performed once every time interval T1, for a total of X1 times;

[0075] The X1 RSRPs obtained by sampling are averaged and the average RSRP value is taken as the final RSRP.

[0076] In some feasible embodiments, based on the above solution, measuring the RSRQ of each cellular cell when it is covered by the operator network includes:

[0077] RSRQ sampling is performed once every time interval T2, for a total of X2 times;

[0078] The X2 RSRQs obtained by sampling are averaged and the average RSRQ value is taken as the final RSRQ.

[0079] In some feasible embodiments, based on the above solution, measuring the CSQ of each cellular cell when it is covered by the operator network includes:

[0080] CSQ sampling is performed once every time interval T3, for a total of X3 times;

[0081] The X3 CSQs obtained by sampling are averaged and the average CSQ value is taken as the final CSQ.

[0082] In some feasible embodiments, based on the above solution, measuring the SNR of each cellular cell when it is covered by the operator network includes:

[0083] SNR sampling is performed once every time interval T4, for a total of X4 times;

[0084] The X4 SNRs obtained by sampling are averaged and the average SNR value is taken as the final SNR.

[0085] It should be noted that in order to ensure that the collected data does not affect the weighted calculation results, during the collection process of RSRP, RSRQ, CSQ and SNR, the intervals T1, T2, T3 and T4 should take the same value, and the sampling times X1, X2, X3 and X4 should take the same value.

[0086] For example, if the sampling interval is T, the total sampling is X times:

[0087] Sample X cells n RSRP n1 、RSRP n2 , …, RSRP nx , get the average RSRP n-average =(RSRP n1 +RSRP n2 +…+RSRP nx ) / x;

[0088] Sample X cells n RSRQ n1 、RSRQ n2 ,…,RSRQ nx , get the average RSRQ n-average =(RSRQ n1 +RSRQ n2 +…+RSRQ nx ) / x;

[0089] Sample X cells n CSQ n1 ,CSQ n2 ,…,CSQ nx , and get the average CSQ n-average =(CSQ n1 +CSQ n2 +…+CSQnx ) / x;

[0090] Sample X cells n SNR n1 、SNR n2 , …, SNR nx , and get SNR n-average =(SNR n1 +SNR n2 +…+SNR nx ) / x.

[0091] Continue to refer Figure 1 , step S400, performing weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cellular cell.

[0092] In some feasible embodiments, based on the above scheme, the weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cellular cell includes:

[0093] Obtain RSRP, RSRQ, CSQ and SNR of each cell and perform weighted calculation using formula (1);

[0094] score = a*RSRP + b*RSRQ + c*CSQ + d*SNR; (1)

[0095] Among them, score represents a weighted score, a represents the weight of RSRP, b represents the weight of RSRQ, c represents the weight of CSQ, d represents the weight of SNR, and a+b+c+d=1.

[0096] It should be noted that when the RSRP, RSRQ, CSQ and SNR obtained are their respective average values, the weighted calculation formula becomes score n =a*RSRP n-average +b*RSRQ n-average +c*CSQ n-average +d*SNR n-average .

[0097] In addition, considering that the value ranges of RSRP, RSRQ, CSQ, and SNR are different, large values ​​have a greater impact on the final calculation results, while small values ​​have a smaller impact on the final calculation results. In order to eliminate the impact, the values ​​are uniformly mapped to the specified domain.

[0098] Continue to refer Figure 1 , step S500, confirming the optimal operator network based on the weighted calculation result, and placing the smart meter in the cellular cell corresponding to the optimal operator network.

[0099] In some feasible embodiments, based on the above solution, the step of determining the optimal operator network based on the weighted calculation result includes:

[0100] The operator network with the highest weighted score is selected as the optimal operator network based on the weighted scores.

[0101] Exemplarily, a specific example of an adaptive network search method applied to a smart meter is provided below.

[0102] See also Figure 2 , showing an adaptive network search system applied to smart meters.

[0103] This example provides a method that Figure 2 The system implementation shown, Figure 2 middle:

[0104] MCU unit 1: system master control;

[0105] Control unit 2: mainly used to control the business logic of communication unit 4, including but not limited to collecting network information around the device and outputting decision data;

[0106] Physical serial port 3: mainly used to physically connect the MCU unit 1 and the communication unit 4 and perform data transmission;

[0107] Communication unit 4: mainly relies on wireless communication technology to carry out long-distance communication with base stations and core networks.

[0108] Specifically, the method provided in this example is as follows:

[0109] Step 1: Turn on the device and proceed to step 2;

[0110] Step 2: Search for PLMN1, PLMN2, ..., PLMNn covered by the location, generate a PLMN preferred list, and execute step 3;

[0111] Step 3: If there is only one PLMN, go to step 11 directly; otherwise go to step 4;

[0112] Step 4: According to PLMN1, PLMN2, ..., PLMNn in the PLMN preferred list, search and select the best cells cell1, cell2, ..., celln respectively, record them in the PLMN preferred list, and execute steps 5, 6, 7, and 8;

[0113] Step 5: Measure RSRP1, RSRP2, ..., RSRPn of cells cell1, cell2, ..., celln respectively, record them in the PLMN preferred list, and execute step 9;

[0114] Step 6: Measure RSRQ1, RSRQ2, ..., RSRQn of cells cell1, cell2, ..., celln respectively, record them in the PLMN preferred list, and execute step 9;

[0115] Step 7: Measure CSQ1, CSQ2, ..., CSQn of cells cell1, cell2, ..., celln respectively, record them in the PLMN preferred list, and execute step 9;

[0116] Step 8, respectively measure SNR1, SNR2, ..., SNRn of cells cell1, cell2, ..., celln, record them in the PLMN preferred list, and execute step 9;

[0117] Step 9, according to the weighted average formula score = a * RSRP + b * RSRQ + c * CSQ + d * SNR, respectively calculate the scores score1, score2, ..., scoren of PLMN1, PLMN2, ..., PLMNn, and record them in the PLMN priority list, where a represents the weight of RSRP, b represents the weight of RSRQ, c represents the weight of CSQ, d represents the weight of SNR, a + b + c + d = 1, and execute step 10;

[0118] Step 10: According to the final scores score1, score2, ..., scoren, select the PLMN with the highest score score(max), and reside in the corresponding cell cell, and execute step 11;

[0119] Step 11: The device enters the attachment registration network process;

[0120] Step 12: If the device is in idle state and the periodic search timer expires, execute step 2;

[0121] It should be noted that when there is only one PLMN searched in step 2, directly proceed to step 11 to register the network;

[0122] It should be noted that the communication unit 4 periodically repeats the above steps when in an idle state, automatically measures the current optimal network and switches when appropriate;

[0123] It should be noted that in order to avoid the accidental sampling affecting the calculation results, RSRP, RSRQ, CSQ, and SNR are sampled once every t time interval, and at least x times, such as: Sample x times cell n RSRP n1 、RSRP n2 , …, RSRP nx , get the average RSRP n-average =(RSRP n1 +RSRPn2 +…+RSRP nx ) / x, sample x cells n RSRQ n1 、RSRQ n2 ,…,RSRQ nx , get the average RSRQ n-average =(RSRQ n1 +RSRQ n2 +…+RSRQ nx ) / x, sample x cells n CSQ n1 ,CSQ n2 ,…,CSQ nx , and get the average CSQ n-average =(CSQ n1 +CSQ n2 +…+CSQ nx ) / x, sample x cells n SNR n1 、SNR n2 , …, SNR nx , and get SNR n-average =(SNR n1 +SNR n2 +…+SNR nx ) / x. Final score n =a*RSRP n-average +b*RSRQ n-average +c*CSQ n-average +d*SNR n-average .

[0124] It should be noted that, considering that the value ranges of RSRP, RSRQ, CSQ, and SNR are different, large values ​​have a greater impact on the final calculation results, while small values ​​have a smaller impact on the final calculation results. In order to eliminate the impact, the values ​​are uniformly mapped to the specified domain.

[0125] The following describes an embodiment of the device of the present application, which can be used to execute an adaptive network search method for smart meters in the above embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the above embodiment of the method of the present application.

[0126] Reference Figure 3 As shown, according to an embodiment of the present application, an adaptive network search device 300 applied to a smart meter includes:

[0127] An acquisition unit 301 is used to search and acquire multiple operator networks covered by the location of the smart meter;

[0128] The first confirmation unit 302 is used to confirm the cellular cell with the best signal of each operator's network under the 3GPP standard;

[0129] The measuring unit 303 is used to measure RSRP, RSRQ, CSQ and SNR of each cellular cell when it is covered by the operator network;

[0130] A calculation unit 304, configured to perform weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cell;

[0131] The second confirmation unit 305 is used to confirm the optimal operator network based on the weighted calculation result, and place the smart meter in the cellular cell corresponding to the optimal operator network.

[0132] like Figure 4 As shown, an embodiment of the present application also provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor. When the processor 420 executes the computer program 411, the steps of the above-mentioned adaptive network search method applied to a smart meter are implemented.

[0133] Since the electronic device introduced in this embodiment is a device used to implement an adaptive network search device applied to a smart meter in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application falls within the scope of protection of this application.

[0134] During the specific implementation process, when the computer program 411 is executed by a processor, any implementation method in the embodiments corresponding to the first aspect can be implemented.

[0135] Figure 5 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown.

[0136] It should be noted that Figure 5 The computer system 500 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0137] like Figure 5As shown, the computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503, such as executing the method described in the above embodiment. In the RAM 503, various programs and data required for system operation are also stored. The CPU 501, the ROM 502 and the RAM 503 are connected to each other through the bus 504. The input / output (I / O) interface 505 is also connected to the bus 504.

[0138] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

[0139] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present application are executed.

[0140] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0141] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0142] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0143] As another aspect, the present application further provides a computer program product or a computer program, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes an adaptive network search method for a smart meter as described in the above embodiment.

[0144] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements an adaptive network search method for a smart meter described in the above embodiment.

[0145] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0146] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0147] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary techniques in the art that are not disclosed in the present application. It should be understood that the present application is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. An adaptive network search method applied to a smart meter, characterized in that: include: Search and obtain the coverage of multiple operator networks at the location of the smart meter; Identify the cellular cell with the best signal under the 3GPP standard for each operator's network; Measure RSRP, RSRQ, CSQ and SNR of each cell when covered by the operator network; Perform weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cell; The optimal operator network is confirmed based on the weighted calculation result, and the smart meter is placed in the cellular cell corresponding to the optimal operator network.

2. The method according to claim 1, characterized in that Measure the RSRP of each cell when covered by the operator's network, including: RSRP sampling is performed once every time interval T1, for a total of X1 times; The X1 RSRPs obtained by sampling are averaged and the average RSRP value is taken as the final RSRP.

3. The method according to claim 1, characterized in that Measure the RSRQ of each cell when covered by the operator’s network, including: RSRQ sampling is performed once every time interval T2, for a total of X2 times; The X2 RSRQs obtained by sampling are averaged and the average RSRQ value is taken as the final RSRQ.

4. The method according to claim 1, characterized in that: Measuring the CSQ of each cell when covered by the operator’s network, including: CSQ sampling is performed once every time interval T3, for a total of X3 times; The X3 CSQs obtained by sampling are averaged and the average CSQ value is taken as the final CSQ.

5. The method according to claim 1, characterized in that Measure the SNR of each cell when covered by the operator's network, including: SNR sampling is performed once every time interval T4, for a total of X4 times; The X4 SNRs obtained by sampling are averaged and the average SNR value is taken as the final SNR.

6. The method according to claim 1, characterized in that The weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cellular cell includes: Obtain RSRP, RSRQ, CSQ and SNR of each cell and perform weighted calculation using formula (1); score = a*RSRP + b*RSRQ + c*CSQ + d*SNR; (1) Among them, score represents a weighted score, a represents the weight of RSRP, b represents the weight of RSRQ, c represents the weight of CSQ, d represents the weight of SNR, and a+b+c+d=1.

7. The method according to claim 6, characterized in that The determining the optimal operator network based on the weighted calculation result includes: The operator network with the highest weighted score is selected as the optimal operator network based on the weighted scores.

8. An adaptive network search device applied to a smart meter, characterized in that: include: An acquisition unit, used for searching and acquiring multiple operator networks covering the location where the smart meter is located; A first confirmation unit is used to confirm the cellular cell with the best signal of each operator's network under the 3GPP standard; A measurement unit, used to measure RSRP, RSRQ, CSQ and SNR of each cellular cell when covered by the operator network; A calculation unit, configured to perform weighted calculation based on the calculated RSRP, RSRQ, CSQ and SNR of each cellular cell; The second confirmation unit is used to confirm the optimal operator network based on the weighted calculation result, and reside the smart meter in the cellular cell corresponding to the optimal operator network.

9. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions, and when the computer instructions are executed on a computer, the computer is enabled to execute the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: including memory and processor; The memory is used to store computer instructions; The processor is used to call the computer instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

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