Battery production data transmission method, device, equipment and management system

Abstract

The invention provides a battery production data transmission method, device, equipment and management system, and the method comprises the steps: carrying out the LoRa modulation of battery production data, so as to obtain a LoRa signal, and carrying out the OFDMA modulation of the LoRa signal, so as to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating a divided LoRa signal on a subcarrier, the subcarrier signal is sent to the LoRa gateway, OFDMA modulation is added on the basis of LoRa modulation, different data can be transmitted based on different subcarriers, the collision problem in the battery production data transmission process is reduced, and the transmission efficiency of the battery production data is improved. And the data transmission efficiency and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of battery production, and in particular to a battery production data transmission method, device, equipment and management system. Background Art

[0002] With the rapid development of new energy vehicles, the demand for high-performance batteries is growing. High-performance batteries are not only reflected in battery energy density and cycle life, but also involve battery safety, reliability and monitoring and management during the production process.

[0003] In the battery production process, in order to control the working state of the battery, key parameters of the battery production process, such as voltage, current, temperature, etc., can be collected in real time to achieve precise control of the working state of the battery, thereby improving the battery production efficiency and yield. Existing data acquisition equipment can use wired or short-range wireless technology for data transmission. However, there are many data acquisition devices involved in the battery production process, and the locations of each data acquisition device are relatively scattered. Wired connection or short-range wireless transmission is difficult to use in the above scenarios. In addition, data acquisition equipment can also use the LoRa network for data transmission. The LoRa network uses random multiple access technology for data transmission. With the increase in data acquisition devices, multiple data acquisition devices may use the same channel to transmit data. Collisions may occur during data transmission, resulting in the loss of some important data packets, or when the data packets are not lost, the data packets need to be resent.

[0004] Therefore, existing data acquisition devices have the problem of data collision when transmitting data through the LoRa network. Summary of the invention

[0005] The present invention provides a battery production data transmission method, device, equipment and management system, which are used to solve the problem of data collision when data acquisition equipment transmits data through a LoRa network.

[0006] In a first aspect, the present invention provides a method for battery production data transmission, the method comprising:

[0007] Perform LoRa modulation on the battery production data to obtain a LoRa signal;

[0008] The LoRa signal is modulated by OFDMA to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier;

[0009] The subcarrier signal is sent to the LoRa gateway.

[0010] Optionally, performing OFDMA modulation on the LoRa signal to obtain a subcarrier signal includes:

[0011] Determine the bandwidth of each subcarrier and the battery production data corresponding to each subcarrier based on the number of data acquisition devices, the battery production data of each data acquisition device, and the total bandwidth through a deep reinforcement learning algorithm;

[0012] The LoRa signal corresponding to any battery production data is modulated by OFDMA on the corresponding subcarrier to obtain the subcarrier signal.

[0013] Optionally, LoRa modulation is performed on the battery production data, including:

[0014] performing channel coding on the battery production data;

[0015] Performing orthogonal amplitude modulation conversion on the channel-coded data;

[0016] The data converted by orthogonal amplitude modulation is modulated by LoRa.

[0017] Optionally, sending the subcarrier signal to a LoRa gateway includes:

[0018] The subcarrier signal is up-converted, the up-converted signal is amplified, and the amplified subcarrier signal is sent to the LoRa gateway.

[0019] Optionally, the method is applied to a target device, the target device is a first data acquisition device or a LoRa data acquisition terminal, the first data acquisition device is a data acquisition device that supports data transmission using a LoRa network; the LoRa data acquisition terminal is used to receive the battery production data sent by a second data acquisition device, and send the battery production data to a LoRa gateway; the second data acquisition device is a data acquisition device that does not support data transmission using a LoRa network.

[0020] In a second aspect, the present invention provides a battery production data transmission method, comprising:

[0021] Receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier;

[0022] Perform OFDMA demodulation on the received subcarrier signal;

[0023] The data after OFDMA demodulation is demodulated by LoRa to obtain the battery production data.

[0024] Optionally, performing OFDMA demodulation on the received subcarrier signal includes:

[0025] Performing down-conversion processing on the received subcarrier signal to obtain an original subcarrier signal; the original subcarrier signal is the subcarrier signal before up-conversion processing;

[0026] Perform OFDMA demodulation on the original subcarrier signal.

[0027] Optionally, after performing LoRa demodulation on the data after OFDMA demodulation, the method further includes:

[0028] Channel decoding is performed on the data after LoRa demodulation to obtain the battery production data.

[0029] In a third aspect, the present invention provides a battery production data transmission device, comprising:

[0030] A first modulation module, used for performing LoRa modulation on the battery production data to obtain a LoRa signal;

[0031] A second modulation module is used to perform OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier;

[0032] The sending module is used to send the subcarrier signal to the LoRa gateway.

[0033] In a fourth aspect, the present invention provides a battery production data transmission device, comprising:

[0034] A receiving module, used to receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier;

[0035] A first demodulation module, used for performing OFDMA demodulation on the received subcarrier signal;

[0036] The second demodulation module is used to perform LoRa demodulation on the data after OFDMA demodulation to obtain battery production data.

[0037] In a fifth aspect, the present invention provides a management system, comprising:

[0038] The target device is used to perform LoRa modulation on the battery production data to obtain a LoRa signal; perform OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on the subcarrier; and send the subcarrier signal to the LoRa gateway;

[0039] The LoRa gateway is used to receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier; performing OFDMA demodulation on the received subcarrier signal; and performing LoRa demodulation on the data after OFDMA demodulation to obtain battery production data.

[0040] Optionally, the system further includes: a cloud server, wherein the cloud server is deployed with a database;

[0041] The LoRa gateway is also used to send the obtained battery production data to the cloud server;

[0042] The cloud server is used to save the received battery production data to the database, so that the database stores the battery production data generated by the first data acquisition device and the second data acquisition device respectively.

[0043] Optionally, the system further includes a workshop host and a monitoring screen; the workshop host is connected to the server; the monitoring screen is connected to the workshop host;

[0044] The workshop host is used to obtain data from the server and process the data, and send the processed data to the monitoring screen;

[0045] The monitoring large screen is used to display the processed data; the processed data includes at least one of alarm prompt information, equipment operating status, and battery production capacity information.

[0046] In a sixth aspect, the present invention provides an electronic device, comprising: at least one processor and a memory;

[0047] The memory stores computer-executable instructions;

[0048] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method as described in any one of the first aspect or the second aspect.

[0049] In a seventh aspect, the present invention provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method described in any one of the first aspect or the second aspect is implemented.

[0050] In an eighth aspect, the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method as described in any one of the first aspect or the second aspect.

[0051] The present invention provides a battery production data transmission method, device, equipment and management system. The method comprises: performing LoRa modulation on battery production data to obtain a LoRa signal, performing OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier, and the subcarrier signal is sent to a LoRa gateway. By adding OFDMA modulation on the basis of LoRa modulation, different data can be transmitted based on different subcarriers, thereby reducing collision problems in the battery production data transmission process and improving the efficiency and reliability of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0053] Figure 1 A schematic diagram of a flow chart of a battery production data transmission method provided by an embodiment of the present invention;

[0054] Figure 2 A schematic diagram of a modulation process provided by an embodiment of the present invention;

[0055] Figure 3 A battery production data transmission method provided by an example of the present invention;

[0056] Figure 4 A schematic diagram of a demodulation process provided by an embodiment of the present invention;

[0057] Figure 5 A complete flow chart of data production and data transmission provided by an embodiment of the present invention;

[0058] Figure 6 A battery production data transmission device provided by an embodiment of the present invention;

[0059] Figure 7 A battery production data transmission device provided by an embodiment of the present invention;

[0060] Figure 8 A schematic diagram of a management system provided by an embodiment of the present invention;

[0061] Fig. 9 A connection relationship diagram of various devices in a management system provided by an embodiment of the present invention;

[0062] Fig.10 A schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention.

[0063] The above drawings have shown clear embodiments of the present invention, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present invention in any way, but to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0064] Here, exemplary embodiments will be described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention.

[0065] In this article, it should be understood that the terms involved are only used to facilitate understanding and do not represent any limitation on the meaning. In addition, any number of elements in the drawings is used for example rather than limitation, and any naming is only used to distinguish and does not have any limiting meaning.

[0066] In the battery production scenario, it is necessary to collect battery production data and improve battery production efficiency and yield by analyzing the battery production data.

[0067] Battery production data can be generated by data acquisition equipment. The data acquisition equipment can be various equipment involved in the battery production process, such as various sensors (pressure sensors, temperature sensors, etc.), PLC (Programmable Logic Controller), industrial computers and other equipment. These devices can collect data from the battery production process and summarize the battery production data generated by each data acquisition device to analyze the battery production data.

[0068] When the data acquisition device sends the battery production data, it can be transmitted through wired or short-distance wireless transmission. However, the above methods have certain requirements for the location of each data acquisition device. When each data acquisition device is far away from the data receiving end, it is not convenient to use wired transmission and short-distance wireless transmission. In addition, when the LoRa wireless transmission method is used for data transmission, if there are many data acquisition devices and they are densely distributed, the random multiple access technology is used for wireless transmission. There may be two or more data acquisition devices using the same channel to transmit data at the same time, and collisions will occur during data transmission.

[0069] Based on the above problems, this application considers integrating the OFDMA (Orthogonal Frequency Division Multiple Access) modulation method with the LoRa modulation method on the basis of using the LoRa (Long Range Radio) network for data transmission, and setting multiple subcarriers through the OFDMA modulation method to transmit the data of each data acquisition device separately based on the subcarrier, and using different subcarriers for data transmission to reduce data collisions and achieve efficient transmission of battery production data.

[0070] Figure 1 A flowchart of a battery production data transmission method provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the method includes:

[0071] Step S101: Perform LoRa modulation on battery production data to obtain a LoRa signal.

[0072] Step S102: OFDMA modulate the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier.

[0073] Step S103: Send the subcarrier signal to the LoRa gateway.

[0074] Optionally, the battery production data may be data collected by itself, or may be data sent by a receiving data collection device.

[0075] After obtaining the battery production data, the battery production data can be modulated by LoRa to obtain a LoRa signal. If the LoRa signal is transmitted directly to the LoRa gateway, the transmission mode adopted is a random multiple access transmission mode. Here, the LoRa signal is modulated by OFDMA to obtain a subcarrier signal. Optionally, when the LoRa signal is modulated by OFDMA, multiple subcarriers can be obtained, and the LoRa signal can be divided, and each divided LoRa signal can be assigned to a different subcarrier to obtain a subcarrier signal. Then, different LoRa signals can be transmitted using different subcarriers, and multiple users can be allowed to communicate on the same frequency band at the same time, thereby improving transmission efficiency.

[0076] After determining the subcarrier signal, the subcarrier signal can be sent to the LoRa gateway to realize the transmission of battery production data, so as to better adapt to the data collection environment of complex and dense places such as large warehouse logistics lines.

[0077] This method integrates OFDMA technology and LoRa technology, replaces the random multiple access technology in the traditional LoRa network, improves spectrum utilization, reduces data conflicts and delays, and meets data collection requirements in complex environments.

[0078] The invention provides a battery production data transmission method, which includes: performing LoRa modulation on battery production data to obtain a LoRa signal, performing OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier, and the subcarrier signal is sent to a LoRa gateway. By adding OFDMA modulation on the basis of LoRa modulation, different data can be transmitted based on different subcarriers, thereby reducing collision problems in the battery production data transmission process and improving the efficiency and reliability of data transmission.

[0079] Optionally, performing OFDMA modulation on the LoRa signal to obtain a subcarrier signal includes:

[0080] Determine the bandwidth of each subcarrier and the battery production data corresponding to each subcarrier based on the number of data acquisition devices, the battery production data of each data acquisition device, and the total bandwidth through a deep reinforcement learning algorithm;

[0081] The LoRa signal corresponding to any battery production data is modulated by OFDMA on the corresponding subcarrier to obtain the subcarrier signal.

[0082] When dividing the subcarriers, it can be determined based on a deep reinforcement learning algorithm. Among them, the division of subcarriers can be related to the number of data acquisition devices, and can also be related to the size of the battery production data of each data acquisition device. In addition, it can also be related to the total bandwidth. Exemplarily, when the bandwidth is 10 megabytes, it can be divided into 10 1 megabyte subcarriers or divided into 5 megabytes, 4 megabytes and 1 megabyte subcarriers, which can be achieved based on a deep reinforcement learning algorithm.

[0083] Optionally, a deep reinforcement learning model may be pre-trained so that the deep reinforcement learning model can determine the bandwidth of each subcarrier based on the number of data acquisition devices, the battery production data of each data acquisition device, and the total bandwidth. In addition, when determining a subcarrier, the battery production data corresponding to the subcarrier may be determined, thereby facilitating obtaining a subcarrier signal.

[0084] Optionally, after determining the subcarrier, the LoRa signal corresponding to the battery production data can be OFDMA modulated on the corresponding subcarrier to obtain a subcarrier signal.

[0085] Specifically, when converting the LoRa signal into a subcarrier signal, the LoRa signal is divided into each subcarrier, each subcarrier is independently modulated and carries a portion of data, and each subcarrier is modulated using OFDMA to obtain multiple subcarriers.

[0086] By dividing subcarriers based on a deep reinforcement learning algorithm to obtain subcarrier signals, dynamic allocation of subcarriers can be achieved and the accuracy of subcarrier division can be improved.

[0087] Optionally, LoRa modulation is performed on the battery production data, including:

[0088] performing channel coding on the battery production data;

[0089] Performing orthogonal amplitude modulation conversion on the channel-coded data;

[0090] The data converted by orthogonal amplitude modulation is modulated by LoRa.

[0091] When LoRa modulation is performed on the battery production data, the battery production data can be first channel-coded to increase the anti-interference capability of the data transmission process.

[0092] After the battery production data is channel-coded, the channel-coded data can also be converted into orthogonal amplitude modulation, thereby realizing signal multiplexing and improving data transmission efficiency.

[0093] Finally, the data after orthogonal amplitude modulation conversion is modulated by LoRa to obtain a LoRa signal.

[0094] Optionally, sending the subcarrier signal to a LoRa gateway includes:

[0095] The subcarrier signal is up-converted, the up-converted signal is amplified, and the amplified subcarrier signal is sent to the LoRa gateway.

[0096] When sending a subcarrier signal to a LoRa gateway, the subcarrier signal can be up-converted and then amplified so that the processed signal adapts to the transmission characteristics of the wireless channel, and the processed signal is sent to the LoRa gateway through the wireless channel. Among them, up-conversion processing and amplification processing both belong to RF front-end processing.

[0097] The communication between the gateway and multiple acquisition terminals is implemented based on OFDMA. Specifically, the subcarriers are dynamically allocated first, and the signal after LoRa spread spectrum is further mapped to allocate the LoRa spread spectrum signal to different subcarriers. Figure 2 A schematic diagram of a modulation process provided by an embodiment of the present invention, such as Figure 2 As shown, the modulation specifically includes:

[0098] Step S031, convert the channel-coded data into a complex form by QAM (Quadrature Amplitude Modulation) to prepare for subsequent modulation; Step S032, modulate the QAM-converted data through LoRa, optionally, CSS modulation (Chirp Spread Spectrum modulation, a LoRa modulation method) to generate a LoRa signal; Step S033, modulate the LoRa signal through OFDMA. At this stage, multiple subcarriers can be obtained, each of which can be independently modulated and carry a part of the data, and each subcarrier adopts OFDMA modulation. Step S034, the OFDMA-modulated signal is processed by the RF front end to send the data to the LoRa gateway.

[0099] Optionally, the method is applied to a target device, the target device is a first data acquisition device or a LoRa data acquisition terminal, the first data acquisition device is a data acquisition device that supports data transmission using a LoRa network; the LoRa data acquisition terminal is used to receive the battery production data sent by a second data acquisition device, and send the battery production data to a LoRa gateway; the second data acquisition device is a data acquisition device that does not support data transmission using a LoRa network.

[0100] The above-mentioned battery production data transmission method can be applied to the target device, and the target device can be a data acquisition device that supports the use of the LoRa network, such as a liquid level sensor, a smoke sensor, a pressure sensor, etc. For data acquisition devices that do not support the use of the LoRa network, such as a temperature sensor, a photoelectric sensor, etc., a LoRa data acquisition terminal can be set so that the LoRa data acquisition terminal can execute the above-mentioned method, and the second data acquisition device can send the collected data to the LoRa data acquisition terminal. Optionally, the data can be transmitted to the LoRa data acquisition terminal via RS232, RS485, Ethernet or wireless, and the LoRa data acquisition terminal can send the received data to the LoRa gateway to realize data transmission for the second data acquisition device.

[0101] Figure 3 A battery production data transmission method provided by an example of the present invention is as follows: Figure 3 As shown, the method includes:

[0102] Step S301, receiving a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on the subcarrier.

[0103] Step S302: Perform OFDMA demodulation on the received subcarrier signal.

[0104] Step S303: Perform LoRa demodulation on the data after OFDMA demodulation to obtain battery production data.

[0105] The above method is applied to a LoRa gateway, and the LoRa gateway can receive data sent by the first data acquisition device, or can also receive data sent by a LoRa data acquisition terminal. Optionally, the data received by the LoRa gateway is a subcarrier signal, and the subcarrier signal can be processed to obtain battery production data.

[0106] Since the first data acquisition device or the LoRa data acquisition terminal performs LoRa modulation and OFDMA modulation on the data, the received subcarrier signal can be demodulated on the side of the LoRa gateway, and the demodulated data can be merged into one data stream.

[0107] During the demodulation process, the received subcarrier signal can be firstly demodulated by OFDMA to recover the data on the subcarrier, and then the data after OFDMA demodulation can be demodulated by LoRa to restore the original data.

[0108] The invention provides a method for transmitting battery production data, the method comprising: receiving a subcarrier signal; the subcarrier signal is a signal obtained by modulating a divided LoRa signal on a subcarrier, performing OFDMA demodulation on the received subcarrier signal, and performing LoRa demodulation on the data after OFDMA demodulation to obtain battery production data. By adding OFDMA demodulation on the basis of LoRa demodulation, the battery production data can be correctly restored, and data transmission is performed in an OFDMA-based manner, thereby reducing collision problems in the battery production data transmission process and improving the efficiency and reliability of data transmission.

[0109] Optionally, performing OFDMA demodulation on the received subcarrier signal includes:

[0110] Performing down-conversion processing on the received subcarrier signal to obtain an original subcarrier signal; the original subcarrier signal is the subcarrier signal before up-conversion processing;

[0111] Perform OFDMA demodulation on the original subcarrier signal.

[0112] Since the data is up-converted in the first data acquisition device or the LoRa data acquisition terminal, the subcarrier signal can be down-converted in the LoRa gateway to obtain the original subcarrier signal. After obtaining the original subcarrier signal, the original subcarrier signal can be demodulated by OFDMA to accurately obtain the demodulated data.

[0113] Optionally, after performing LoRa demodulation on the data after OFDMA demodulation, the method further includes:

[0114] Channel decoding is performed on the data after LoRa demodulation to obtain the battery production data.

[0115] Since the data is channel-encoded in the first data acquisition device or the LoRa data acquisition terminal, the LoRa gateway can perform channel decoding on the LoRa demodulated data to restore the battery production data.

[0116] Figure 4 A schematic diagram of a demodulation process provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, the demodulation process includes: step S071, receiving the signal processed by the RF front end; step S072, after receiving the signal, the LoRa gateway first performs OFDMA demodulation to recover the data on the subcarrier; step S073, the LoRa gateway performs LoRa demodulation on the signal, which can be CSS demodulation; step S074, restoring the original data through channel decoding.

[0117] Figure 5 A complete flow chart of data production and data transmission provided by an embodiment of the present invention is shown in FIG. Figure 5 As shown, the entire transmission process includes: step S01, the data collected from the first data acquisition device or the LoRa data acquisition terminal is prepared for transmission through the LoRa gateway; step S02, channel coding the original data to increase the anti-interference ability during the transmission process; step S03, modulating the channel-coded data; step S04, RF front-end processing, that is, up-converting and amplifying the modulated subcarrier to adapt it to the transmission characteristics of the wireless channel; step S05, sending the processed signal to the LoRa gateway through the wireless channel; step S06, the LoRa gateway performs down-conversion and other processing on the received signal to restore the original subcarrier signal; step S07, demodulating the received subcarrier signal and merging it into a data stream; step S08, channel decoding the demodulated data stream to restore the original signal. Step S09, processing and applying the decoded data, such as data storage, data analysis, remote monitoring, etc.

[0118] Figure 6 A battery production data transmission device provided in an embodiment of the present invention includes:

[0119] The first modulation module 601 is used to perform LoRa modulation on the battery production data to obtain a LoRa signal;

[0120] The second modulation module 602 is used to perform OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier;

[0121] The sending module 603 is used to send the subcarrier signal to the LoRa gateway.

[0122] Optionally, the second modulation module 602 is specifically configured to:

[0123] Determine the bandwidth of each subcarrier and the battery production data corresponding to each subcarrier based on the number of data acquisition devices, the battery production data of each data acquisition device, and the total bandwidth through a deep reinforcement learning algorithm;

[0124] The LoRa signal corresponding to any battery production data is modulated by OFDMA on the corresponding subcarrier to obtain the subcarrier signal.

[0125] Optionally, the first modulation module 601 is specifically configured to:

[0126] performing channel coding on the battery production data;

[0127] Performing orthogonal amplitude modulation conversion on the channel-coded data;

[0128] The data converted by orthogonal amplitude modulation is modulated by LoRa.

[0129] Optionally, the sending module 603 is specifically used for:

[0130] The subcarrier signal is up-converted, the up-converted signal is amplified, and the amplified subcarrier signal is sent to the LoRa gateway.

[0131] Optionally, the device is applied to a target device, the target device is a first data acquisition device or a LoRa data acquisition terminal, the first data acquisition device is a data acquisition device that supports data transmission using a LoRa network; the LoRa data acquisition terminal is used to receive the battery production data sent by a second data acquisition device, and send the battery production data to a LoRa gateway; the second data acquisition device is a data acquisition device that does not support data transmission using a LoRa network.

[0132] The battery production data transmission device provided in the embodiment of the present invention can realize the above Figure 1 The battery production data transmission method of the embodiment shown has similar implementation principles and technical effects, which will not be repeated here.

[0133] Figure 7A battery production data transmission device provided in an embodiment of the present invention includes:

[0134] The receiving module 701 is used to receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier;

[0135] A first demodulation module 702, configured to perform OFDMA demodulation on a received subcarrier signal;

[0136] The second demodulation module 703 is used to perform LoRa demodulation on the data after OFDMA demodulation to obtain battery production data.

[0137] Optionally, the first demodulation module 702 is specifically configured to:

[0138] Performing down-conversion processing on the received subcarrier signal to obtain an original subcarrier signal; the original subcarrier signal is the subcarrier signal before up-conversion processing;

[0139] Perform OFDMA demodulation on the original subcarrier signal.

[0140] Optionally, the device further includes: a decoding module, configured to:

[0141] Channel decoding is performed on the data after LoRa demodulation to obtain the battery production data.

[0142] The battery production data transmission device provided in the embodiment of the present invention can realize the above Figure 2 The battery production data transmission method of the embodiment shown has similar implementation principles and technical effects, which will not be repeated here.

[0143] An embodiment of the present invention also provides a management system, including:

[0144] The target device is used to perform LoRa modulation on the battery production data to obtain a LoRa signal; perform OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on the subcarrier; and send the subcarrier signal to the LoRa gateway;

[0145] The LoRa gateway is used to receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier; performing OFDMA demodulation on the received subcarrier signal; and performing LoRa demodulation on the data after OFDMA demodulation to obtain battery production data.

[0146] The target device is a first data acquisition device or a LoRa data acquisition terminal. The first data acquisition device is a data acquisition device that supports data transmission using the LoRa network. The LoRa data acquisition terminal is used to receive the battery production data sent by the second data acquisition device and send the battery production data to the LoRa gateway. The second data acquisition device is a data acquisition device that does not support data transmission using the LoRa network.

[0147] The above system can realize sending the battery production data generated by the first data acquisition device or the second data acquisition device to the LoRa gateway. The first data acquisition device or the second data acquisition device is mainly an automation device and a sensor used in the battery production process, which transmits data by wire or wirelessly.

[0148] Optionally, the system further includes: a cloud server, wherein the cloud server is deployed with a database;

[0149] The LoRa gateway is also used to send the obtained battery production data to the cloud server;

[0150] The cloud server is used to save the received battery production data to the database, so that the database stores the battery production data generated by the first data acquisition device and the second data acquisition device respectively.

[0151] Optionally, the system further includes a workshop host and a monitoring screen; the workshop host is connected to the server; the monitoring screen is connected to the workshop host;

[0152] The workshop host is used to obtain data from the server and process the data, and send the processed data to the monitoring screen;

[0153] The monitoring large screen is used to display the processed data; the processed data includes at least one of alarm prompt information, equipment operating status, and battery production capacity information.

[0154] Figure 8 A schematic diagram of a management system provided by an embodiment of the present invention, such as Figure 8As shown, the first data acquisition device and the second data acquisition device can send the battery production data to the LoRa gateway directly or through the LoRa data acquisition terminal. The LoRa gateway is used to receive the battery production data and upload the battery production data to the cloud server; a database is deployed on the cloud server to collect and store the battery production data; the workshop host obtains data from the server, processes the data, and transmits it to the monitoring screen, which can intuitively display the processed data, such as capacity analysis, equipment operation status, and alarm prompt information. The above system can integrate all the data in the battery production process and save them in the database, solving the problem of data dispersion in the current battery production process.

[0155] The above management system can realize data collection and transmission in a variety of complex scenarios. As the core node of data collection, the LoRa gateway is responsible for collecting battery production data from data collection devices such as pressure sensors, and efficiently managing multi-device connections through OFDMA modulation. The above method not only optimizes the configuration of network resources, but also improves the reliability and efficiency of data transmission. In addition, with the help of the cloud platform's powerful data calculation and storage capabilities, combined with a large monitoring screen, an intuitive and complete data monitoring platform can be established to monitor all data in the battery production process, thereby achieving control over battery production, facilitating the management and implementation of battery production by management, R&D, production and other personnel, and improving battery production efficiency and yield.

[0156] Fig. 9 FIG. 1 is a diagram showing the connection relationship between various devices in a management system provided by an embodiment of the present invention. Fig. 9 As shown, the battery process data acquisition terminal can be a first data acquisition device or a LoRa data acquisition terminal, and at the same time, through the LoRa networking network, it completes the transmission data and command interaction with the LoRa gateway. The above process is related to the real-time, effectiveness and stability of data transmission. The battery process data acquisition terminal mainly includes a LoRa terminal node module, a digital / analog input and output module, and a power supply module. The hardware design of the LoRa gateway mainly includes a controller module, an OFDMA modem, a radio frequency module, a local data storage module, and a power supply module. The cloud platform deploys a database and uses computing and storage capabilities for data analysis. The workshop host and the monitoring large screen constitute a data display device, which displays the data analysis results in real time in the form of charts and other forms. Display the battery production status of the workshop.

[0157] Fig.10 The hardware structure diagram of an electronic device provided by an embodiment of the present invention is shown in FIG. Fig.10 As shown, the electronic device provided by this embodiment includes: at least one processor 1001 and a memory 1002. The processor 1001 and the memory 1002 are connected via a bus 1003.

[0158] In the specific implementation process, at least one processor 1001 executes the computer execution instructions stored in the memory 1002, so that at least one processor 1001 executes the method in the above method embodiment.

[0159] The specific implementation process of the processor 1001 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0160] In the above Fig.10 In the illustrated embodiment, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0161] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk storage.

[0162] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0163] An embodiment of the present invention further provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method of the above method embodiment is implemented.

[0164] An embodiment of the present application also provides a computer program product, including a computer program, which implements the method of the above method embodiment when executed by a processor.

[0165] The computer-readable storage medium mentioned above can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0166] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0167] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0168] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0169] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0170] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A battery production data transmission method, characterized in that: include: Perform LoRa modulation on the battery production data to obtain a LoRa signal; The LoRa signal is modulated by OFDMA to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier; The subcarrier signal is sent to the LoRa gateway.

2. The method according to claim 1, characterized in that: The LoRa signal is modulated by OFDMA to obtain a subcarrier signal, including: Determine the bandwidth of each subcarrier and the battery production data corresponding to each subcarrier based on the number of data acquisition devices, the battery production data of each data acquisition device, and the total bandwidth through a deep reinforcement learning algorithm; The LoRa signal corresponding to any battery production data is modulated by OFDMA on the corresponding subcarrier to obtain the subcarrier signal.

3. The method according to claim 1, characterized in that LoRa modulation of battery production data, including: performing channel coding on the battery production data; Performing orthogonal amplitude modulation conversion on the channel-coded data; The data converted by orthogonal amplitude modulation is modulated by LoRa.

4. The method according to claim 1, characterized in that: Sending the subcarrier signal to the LoRa gateway includes: The subcarrier signal is up-converted, the up-converted signal is amplified, and the amplified subcarrier signal is sent to the LoRa gateway.

5. The method according to any one of claims 1 to 4, characterized in that: The method is applied to a target device, the target device is a first data acquisition device or a LoRa data acquisition terminal, and the first data acquisition device is a data acquisition device that supports data transmission using a LoRa network; The LoRa data acquisition terminal is used to receive the battery production data sent by a second data acquisition device and send the battery production data to a LoRa gateway; the second data acquisition device is a data acquisition device that does not support data transmission using a LoRa network.

6. A battery production data transmission method, characterized in that: include: Receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on the subcarrier; Perform OFDMA demodulation on the received subcarrier signal; The data after OFDMA demodulation is demodulated by LoRa to obtain the battery production data.

7. The method according to claim 6, characterized in that Perform OFDMA demodulation on the received subcarrier signal, including: Performing down-conversion processing on the received subcarrier signal to obtain an original subcarrier signal; the original subcarrier signal is the subcarrier signal before up-conversion processing; Perform OFDMA demodulation on the original subcarrier signal.

8. The method according to claim 6 or 7, characterized in that: After the data after OFDMA demodulation is demodulated by LoRa, it also includes: Channel decoding is performed on the data after LoRa demodulation to obtain the battery production data.

9. A battery production data transmission device, characterized in that: include: The first modulation module is used to perform LoRa modulation on the battery production data to obtain a LoRa signal; A second modulation module is used to perform OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier; The sending module is used to send the subcarrier signal to the LoRa gateway.

10. A battery production data transmission device, characterized in that: include: A receiving module, used to receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier; A first demodulation module, used for performing OFDMA demodulation on the received subcarrier signal; The second demodulation module is used to perform LoRa demodulation on the data after OFDMA demodulation to obtain battery production data.

11. A management system, characterized in that: include: The target device is used to perform LoRa modulation on the battery production data to obtain a LoRa signal; Perform OFDMA modulation on the LoRa signal to obtain a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier; and the subcarrier signal is sent to a LoRa gateway; The LoRa gateway is used to receive a subcarrier signal; the subcarrier signal is a signal obtained by modulating the divided LoRa signal on a subcarrier; and perform OFDMA demodulation on the received subcarrier signal; The data after OFDMA demodulation is demodulated by LoRa to obtain the battery production data.

12. The system according to claim 11, characterized in that The system further comprises: a cloud server, wherein the cloud server is deployed with a database; The LoRa gateway is also used to send the obtained battery production data to the cloud server; The cloud server is used to save the received battery production data to the database, so that the database stores the battery production data generated by the first data acquisition device and the second data acquisition device respectively.

13. The system according to claim 12, characterized in that The system also includes a workshop host and a monitoring screen; the workshop host is connected to the server; the monitoring screen is connected to the workshop host; The workshop host is used to obtain data from the server and process the data, and send the processed data to the monitoring screen; The monitoring large screen is used to display the processed data; the processed data includes at least one of alarm prompt information, equipment operating status, and battery production capacity information.

14. An electronic device, characterized in that: include: at least one processor and memory; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the method according to any one of claims 1 to 8.

15. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the processor executes the computer-executable instructions, the method according to any one of claims 1 to 8 is implemented.

16. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 8 when being executed by a processor.

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