Analog quantity wireless acquisition system based on dynamic power management

Abstract

The application belongs to the technical field of wireless communication, and specifically discloses an analog quantity wireless collection system based on dynamic power consumption management, which comprises: an analog quantity collection network composed of a plurality of movable collection nodes and a gateway; a data collection module for controlling the collection nodes to collect analog quantities and converting different analog quantities into a standard format recognizable by the gateway; a data processing module for encapsulating a plurality of collected analog quantities in a data packet format; a path selection module for selecting an optimal communication path in a communication path as the only communication path of the data packet format; and a parameter adjustment module for dynamically adjusting wireless transmission parameters based on the optimal communication path. The application filters the optimal communication path through the path selection module, reduces signal attenuation and transmission delay caused by unreasonable paths, and reduces invalid power consumption from the source. The parameter adjustment module dynamically adjusts the wireless transmission parameters based on the real-time communication state of the optimal path, thereby realizing precise matching of transmission parameters and communication requirements.

Description

Technical Field

[0001] This invention belongs to the field of wireless communication technology, and specifically relates to an analog wireless acquisition system based on dynamic power consumption management. Background Technology

[0002] In industrial analog signal wireless acquisition scenarios, acquisition nodes typically need to operate in complex environments for extended periods, and their power consumption management directly impacts the system's endurance and operational stability. However, in existing technologies, the transmission parameters of analog signal wireless acquisition systems are mostly fixed settings and not dynamically correlated with real-time communication status.

[0003] This static parameter management method may cause the system to maintain high power transmission even when the signal is good during actual operation, resulting in unnecessary energy waste due to power redundancy. It also poses a risk of frequent retransmissions due to low power during strong interference, leading to a decline in communication quality. It is difficult to achieve efficient power consumption control while ensuring reliable transmission of analog data acquisition, which seriously restricts the endurance of mobile acquisition nodes and the long-term stable operation of the system. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the existing technology and provide an analog wireless acquisition system based on dynamic power consumption management.

[0005] This invention provides an analog wireless acquisition system based on dynamic power consumption management, comprising:

[0006] An analog signal acquisition network consists of several movable acquisition nodes and a gateway, with each acquisition node forming a communication path with the gateway.

[0007] The data acquisition module is used to control the acquisition node to acquire analog quantities according to the analog quantity acquisition task in the industrial acquisition environment and convert different analog quantities into a standard format that the gateway can recognize;

[0008] The data processing module is used to process and fuse multiple collected analog quantities and then encapsulate them in a data packet format.

[0009] The path selection module selects the optimal communication path from the communication paths for each analog signal acquisition task as the unique communication path for the data packet format.

[0010] The parameter adjustment module dynamically adjusts wireless transmission parameters based on the optimal communication path.

[0011] A further embodiment is that the data processing module includes:

[0012] The data standardization unit is used to convert the analog quantities acquired by each acquisition node into dimensionless standardized values. The conversion process is as follows:

[0013] ;

[0014] in, For standardized values, For the original analog quantity, and These are the upper and lower range boundaries for analog quantities;

[0015] The spatiotemporal alignment unit associates analog quantities of the same time and the same physical area into a data group based on the location information and acquisition timestamp of each acquisition node, so as to obtain multidimensional standardized values ​​of the same acquisition object.

[0016] The feature fusion unit pre-sets fusion weights for different analog quantities based on the analog quantity acquisition task, generates fusion feature values ​​based on the fusion weights, and generates a device status label when the fusion feature value exceeds a preset threshold.

[0017] The encapsulation unit encapsulates the fused feature values, device status tags, and multidimensional standardized numerical values ​​into a standard data packet structure.

[0018] A further embodiment is that the path selection module includes:

[0019] The virtual scene construction unit is used to build a virtual scene of a real industrial data acquisition environment. It models each data acquisition node based on the real industrial data acquisition environment, places the data acquisition node model in the corresponding virtual scene, and marks the initial position and the end position of the data acquisition node model.

[0020] The path display unit determines the communication path between each acquisition node and the gateway, as well as the physical distance of the communication path, based on the initial position and the end position of the acquisition node model, and displays it visually within the virtual scene.

[0021] The path feature determination unit marks obstacles and environmental factors for each communication path in the virtual scene, equating the obstacles to communication path inflection points and the environmental factors to communication delay time; and determines the communication time of each communication path based on the communication path inflection points and communication delay time.

[0022] The optimal path selection unit determines the optimal communication path based on physical distance and communication time.

[0023] A further embodiment is that the optimal path selection unit includes a path selection model and an evaluation function establishment unit;

[0024] The path selection model takes physical distance and communication time as input and outputs the optimal communication path.

[0025] The evaluation function establishment unit is used to establish an evaluation function for the optimal communication path, and the parameter adjustment module determines the parameter adjustment strategy based on the evaluation function.

[0026] A further approach is that the path selection model is constructed as follows:

[0027] Extract the physical distance and communication time of several communication paths, and construct a number of pairs using the manual expert labeling method. (optimal path) and ( (optimal path), will the ( (optimal path) and ( The optimal path is merged to construct the joint input. The output labels are the labeled sample set of the optimal communication path;

[0028] The labeled sample set is input into the neural network unit for iterative training to obtain the path selection model;

[0029] The ( The optimal path represents: for each candidate path, extract the physical distance. As input, the optimal path ID marked by the expert is used as output;

[0030] The ( (Optimal path) means: extracting communication time The optimal path marked by the expert is taken as input and output as output.

[0031] A further proposed solution is that the evaluation function includes a communication efficiency evaluation function and a reliability evaluation function;

[0032] The communication efficiency evaluation function is: ;

[0033] The reliability evaluation function is: ;

[0034] in, This is the overall communication efficiency value. For communication time, For throughput, Physical distance The number of path inflection points. This is a reliability value. Bit error rate (BER) is the ratio of the number of erroneous bits to the total number of bits transmitted during data transmission. For the number of retransmissions, Electromagnetic interference intensity, For power consumption increment, , , , , , , These are weighting coefficients that are dynamically adjusted based on the real-time requirements of the data collection task.

[0035] A further embodiment is that the parameter adjustment module includes a transmission power control unit, a modulation mode control unit, and a transmission interval control unit;

[0036] The transmission power control unit dynamically adjusts the transmission power of the optimal communication path based on the bit error rate B or the number of retransmissions N in the reliability evaluation function.

[0037] The modulation control unit is based on the electromagnetic interference intensity in the reliability evaluation function. And the throughput S in the communication efficiency evaluation function dynamically adjusts the modulation scheme of the optimal communication path;

[0038] The transmission interval control unit is based on the communication time T in the communication efficiency evaluation function and the power consumption increment in the reliability evaluation function. The transmission interval of the optimal communication path is dynamically adjusted.

[0039] A further solution is that the dynamic adjustment process of the transmission power control unit is as follows:

[0040] When in the reliability evaluation function > or > At that time, the transmission power is adjusted to:

[0041] ;

[0042] in, For the adjusted transmission power, The transmission power before adjustment, This is the path attenuation coefficient. To preset the maximum bit error rate, The maximum number of retransmissions is preset.

[0043] when ≤ and > At that time, the transmission power is adjusted to:

[0044] ;

[0045] in, To preset the maximum power consumption increment, This represents the hardware coefficient, which is a constant.

[0046] A further proposed solution is that the dynamic adjustment process of the modulation control unit is as follows:

[0047] when > When the modulation order satisfies ;

[0048] when < and ≤ When the modulation order satisfies ;

[0049] in, To preset the electromagnetic interference tolerance threshold, The modulation order, To preset the required throughput, The basic interference threshold constant represents the modulation order. Theoretical interference tolerance strength when =1, This is the basic throughput constant per modulation order, representing the theoretically achievable increase in basic throughput for each additional modulation order.

[0050] A further solution is that the dynamic adjustment process of the transmission interval control unit is as follows:

[0051] When the communication efficiency evaluation function is < At that time, the transmission interval is adjusted to:

[0052] ;

[0053] When in the reliability evaluation function > and At that time, the transmission interval was adjusted to ;

[0054] in, The adjusted transmission interval, To preset the maximum allowed communication time, For the initial transmission interval, To preset the maximum allowed number of transmissions, To preset the maximum power consumption increment, This is the time scaling factor.

[0055] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0056] This invention uses a path selection module to filter the optimal communication path, reducing signal attenuation and transmission delay caused by unreasonable paths, thus reducing unnecessary power consumption at the source. A parameter adjustment module dynamically adjusts wireless transmission parameters based on the real-time communication status of the optimal path, achieving precise matching between transmission parameters and communication requirements. This effectively solves the problem of power consumption and reliability imbalance under traditional static parameter management. While ensuring efficient and reliable transmission of analog data, it significantly reduces the energy consumption of mobile acquisition nodes, extends node endurance, and improves the system's long-term stable operation capability in complex industrial environments.

[0057] The path selection module of this invention constructs a virtual industrial environment scene, combines real-time obstacles and environmental interference, and dynamically selects the optimal path based on physical distance and communication time. This avoids the inefficiency of traditional static paths in scenarios with moving nodes and changing obstacles, reduces communication delay and signal attenuation, and improves the real-time performance of data transmission.

[0058] The data processing module of this invention eliminates the range differences of analog quantities at different nodes through standardized conversion, realizes the association of multi-dimensional data of the same object by combining spatiotemporal alignment, and generates feature values ​​through task-oriented weight fusion. This solves the ambiguity problem caused by inconsistent formats and spatiotemporal misalignment of traditional data. At the same time, it improves the effectiveness of data in judging equipment status through equipment status labels.

[0059] This invention integrates dynamic control of transmission power, modulation method, and transmission interval to form a complete power consumption and performance synergistic optimization mechanism. It flexibly adjusts according to real-time communication status, ensuring reliable and efficient transmission of analog data while minimizing system power consumption, significantly improving the endurance of mobile acquisition nodes and the system's stable operation in complex industrial environments. Attached Figure Description

[0060] The following figures are for illustrative purposes only and are not intended to limit the scope of the invention, wherein:

[0061] Figure 1 : Block diagram of the collaborative working principle of each module of the system of this invention;

[0062] Figure 2 Schematic diagram of analog signal acquisition network;

[0063] Figure 3 : Schematic diagram of dynamic adjustment of parameter adjustment module;

[0064] In the diagram: 1. Analog signal acquisition network; 2. Data acquisition module; 3. Path selection module; 4. Data processing module; 5. Parameter adjustment module; 6. Gateway; 7. Acquisition node; 8. Communication path; 9. Virtual scene construction unit; 10. Path display unit; 11. Path feature determination unit; 12. Optimal path selection unit; 13. Data standardization unit; 14. Spatiotemporal alignment unit; 15. Feature fusion unit; 16. Encapsulation unit; 17. Path selection model; 18. Evaluation function establishment unit; 19. Transmission power control unit; 20. Modulation mode control unit; 21. Transmission interval control unit. Detailed Implementation

[0065] To make the objectives, technical solutions, design methods, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0066] This invention provides an analog signal wireless acquisition system based on dynamic power consumption management, including an analog signal acquisition network 1, a data acquisition module 2, a path selection module 3, and a parameter adjustment module 5. The actual operation flow and collaborative working mechanism of each module are as follows: Figure 1 As shown, specifically:

[0067] The analog signal acquisition network 1 consists of several movable acquisition nodes 7 and a gateway 6. Each acquisition node 7 forms a communication path 8 with the gateway 6. In this embodiment, the movable acquisition nodes 7 can be temperature sensors, pressure sensors, or other industrial sensors. The nodes support wireless communication protocols such as Bluetooth and LoRa. The gateway 6 is compatible with Modbus and Profinet protocols through a protocol adapter. The acquisition nodes 7 are initially distributed around the workshop equipment, while the gateway 6 is fixed in the workshop control room. Each node automatically establishes a communication path 8 with the gateway 6. The protocol adapter supports adaptive conversion of various industrial communication protocols, including Modbus, Profinet, and EtherCAT. By identifying the protocol type of the acquisition node 7, it automatically matches the conversion rules to achieve protocol compatibility between different acquisition nodes 7 and the gateway 6.

[0068] Data acquisition module 2 is used to control the acquisition node 7 to acquire analog quantities according to the analog quantity acquisition task in the industrial acquisition environment and convert different analog quantities into a standard format that can be recognized by gateway 6;

[0069] The data processing module 4 is used to process and fuse multiple acquired analog quantities and then encapsulate them in a data packet format. In this embodiment, the data processing module 4 includes a data standardization unit 13, a spatiotemporal alignment unit 14, a feature fusion unit 15, and an encapsulation unit 16. Specifically, the data standardization unit 13 is used to convert the analog quantities acquired by each acquisition node 7 into dimensionless standardized values. The conversion process is as follows:

[0070] ;

[0071] in, For standardized values, For the original analog quantity, and These are the upper and lower range boundaries for analog quantities;

[0072] For example, if the original acquisition value of a temperature sensor is 25℃, and its range boundaries are -20℃ (lower limit) and 100℃ (upper limit), then 25℃ can be converted into a standardized value between 0 and 1 through calculation, so that analog quantities of different types and ranges can be compared.

[0073] Based on the location information and acquisition timestamp of each acquisition node 7, the spatiotemporal alignment unit 14 associates the analog quantities of the same time and the same physical area into a data group to obtain the multidimensional standardized values ​​of the same acquisition object; the purpose is to associate the analog quantities such as temperature, pressure, and vibration acquired at the same time to form the multidimensional status data of the device.

[0074] The feature fusion unit 15 pre-sets fusion weights for different analog quantities based on the analog quantity acquisition task, generates fusion feature values ​​based on these weights, and generates a device status label when the fusion feature value exceeds a preset threshold. The feature fusion unit 15 pre-sets fusion weights for different analog quantities according to the requirements of the analog quantity acquisition task. Based on these weights, it performs weighted calculations on the multi-dimensional standardized values ​​of the same acquisition object to generate fusion feature values, comprehensively reflecting the status of the acquisition object. Simultaneously, if the fusion feature value exceeds the preset threshold, a device status label is automatically generated, enabling rapid determination of the device status.

[0075] The encapsulation unit 16 encapsulates the fused feature value, device status label, and multidimensional standardized numerical value into a standard data packet structure. The data packet structure includes a data header (labeling the acquisition node ID and acquisition time), a data body (fused feature value, status label, and multidimensional standardized numerical value), and a check bit (to ensure data transmission integrity), ultimately forming a standard data packet that can be recognized and parsed by the gateway 6, preparing for subsequent path selection and wireless transmission.

[0076] The path selection module 3 selects the optimal communication path as the unique communication path 8 for each analog signal acquisition task from the communication paths 8. In this embodiment, the path selection module 3 includes a virtual scene construction unit 9, a path display unit 10, a path feature determination unit 11, and an optimal path selection unit 12. The virtual scene construction unit 9 constructs a virtual scene of a real industrial acquisition environment, models each acquisition node 7 based on the real industrial acquisition environment, places the acquisition node 7 model within the corresponding virtual scene, and marks the initial position and acquisition end position of the acquisition node 7 model. The path display unit 10 determines the communication path 8 between each acquisition node 7 and the gateway 6 based on the initial position and acquisition end position of the acquisition node 7 model. The physical distance of path 8 is visualized within the virtual scene. The path feature determination unit 11 marks obstacles and environmental factors for each communication path 8 based on the virtual scene, equating the obstacles to communication path inflection points and the environmental factors to communication delay times. Based on these inflection points and delay times, the communication time for each communication path 8 is determined. In this embodiment, the obstacles marked by the path feature determination unit 11 include fixed obstacles and moving obstacles. Fixed obstacles are walls and equipment units in an industrial environment, while moving obstacles are temporarily passing transport vehicles and hoisting equipment. The environmental factors include electromagnetic interference intensity, temperature, and humidity, where the electromagnetic interference intensity is calculated using a preset interference source model in the virtual scene. The optimal path selection unit 12 determines the optimal communication path based on the physical distance and communication time.

[0077] Furthermore, the optimal path selection unit 12 includes a path selection model 17 and an evaluation function establishment unit 18; the input of the path selection model 17 is physical distance and communication time, and the output is the optimal communication path; the evaluation function establishment unit 18 is used to establish an evaluation function for the optimal communication path, and the parameter adjustment module 5 determines the parameter adjustment strategy based on the evaluation function. In this embodiment, the construction process of the path selection model 17 is as follows: extract the physical distance and communication time of several sets of communication paths 8, and use the manual expert labeling method to construct a number of pairs ( (optimal path) and ( (optimal path), will the ( (optimal path) and ( The optimal path is merged to construct the joint input. The output labels are a set of labeled samples representing the optimal communication path; the labeled sample set is input into a neural network unit for iterative training to obtain path selection model 17; the ( The optimal path represents: for each candidate path, extract the physical distance. As input, the optimal path ID marked by the expert is used as output; the ( (Optimal path) means: extracting communication time As input, the optimal path labeled by experts is used as output. In this embodiment, the labeled sample set is divided into a training set and a validation set in a 7:3 ratio, and input into a backpropagation (BP) neural network for iterative training. The input layer includes 2 neurons, corresponding to the physical distance D and communication time T; the hidden layer is set to 3 layers, with 10 neurons in each layer, using the ReLU activation function; the number of neurons in the output layer is equal to the total number of candidate paths, and the Softmax function is used to output the probability of each path. The path with the highest probability is the optimal path predicted by the model. During training, the learning rate and the number of iterations are adjusted using the validation set until the model prediction accuracy stabilizes above 90%, completing the construction of path selection model 17.

[0078] The evaluation functions include a communication efficiency evaluation function and a reliability evaluation function;

[0079] Specifically, the communication efficiency evaluation function is: The reliability evaluation function is: ;

[0080] in, This is the overall communication efficiency value. For communication time, For throughput, Physical distance The number of path inflection points. This is a reliability value. Bit error rate (BER) is the ratio of the number of erroneous bits to the total number of bits transmitted during data transmission. For the number of retransmissions, Electromagnetic interference intensity, For power consumption increment, , , , , , , These are weighting coefficients that are dynamically adjusted based on the real-time requirements of the data collection task.

[0081] The parameter adjustment module 5 dynamically adjusts the wireless transmission parameters based on the optimal communication path. The parameter adjustment module 5 includes a transmission power control unit 19, a modulation mode control unit 20, and a transmission interval control unit 21.

[0082] In this embodiment, the transmission power control unit 19 dynamically adjusts the transmission power of the optimal communication path based on the bit error rate B or the number of retransmissions N in the reliability evaluation function; the modulation mode control unit 20 adjusts the transmission power based on the electromagnetic interference intensity in the reliability evaluation function. The throughput S in the communication efficiency evaluation function dynamically adjusts the modulation scheme of the optimal communication path; the transmission interval control unit 21 is based on the communication time T in the communication efficiency evaluation function and the power consumption increment in the reliability evaluation function. The transmission interval of the optimal communication path is dynamically adjusted.

[0083] This invention achieves precise dynamic adjustment of transmission power through a transmission power control unit 19. It can appropriately increase power to reduce transmission errors and ensure reliable data transmission when the data transmission error rate is too high or multiple retransmissions are required; conversely, it can reduce power to reduce energy waste and avoid unnecessary energy consumption when the error rate is within a reasonable range but the power consumption increment is too large. The adjustment process combines path attenuation characteristics and hardware power consumption limits to ensure that power changes meet actual communication needs without exceeding the system's allowable power consumption limit, effectively balancing communication reliability and power efficiency. Specifically, the dynamic adjustment process of the transmission power control unit 19 is as follows: when the bit error rate or retransmission count exceeds a preset threshold in the reliability assessment, the transmission power adjustment must make the new power equal to the original power plus (the natural logarithm of the ratio of the bit error rate to the maximum allowable bit error rate divided by the attenuation coefficient), and ensure that the power consumption increment after adjustment does not exceed the maximum allowable value; when the bit error rate is within the allowable range but the power consumption increment exceeds the limit, the new power is the smaller value between "original power minus a fixed step size" and "maximum allowable power consumption increment divided by a hardware coefficient," to ensure that power consumption is reduced while maintaining a stable bit error rate. The formula is expressed as follows:

[0084] When in the reliability evaluation function > or > At that time, the transmission power is adjusted to:

[0085] ;

[0086] in, For the adjusted transmission power, The transmission power before adjustment, This is the path attenuation coefficient. To preset the maximum bit error rate, The maximum number of retransmissions is preset.

[0087] when ≤ and > At that time, the transmission power is adjusted to:

[0088] ;

[0089] in, To preset the maximum power consumption increment, This represents the hardware coefficient, which is a constant.

[0090] This invention utilizes a modulation control unit 20 to flexibly adjust the modulation scheme based on electromagnetic interference intensity and throughput requirements: when electromagnetic interference is strong, a lower-order modulation scheme is used to enhance the system's anti-interference capability and reduce transmission errors and power consumption increases caused by interference; when interference is weak but throughput does not meet requirements, a higher-order modulation scheme is used to improve data transmission efficiency and avoid frequent transmissions and energy consumption due to insufficient throughput. The selection of the modulation scheme is deeply tied to the actual needs of the acquisition task, solving the problem that a fixed modulation scheme cannot simultaneously achieve both anti-interference capability and transmission efficiency in complex environments. The dynamic adjustment process of the modulation control unit 20 is as follows: when the electromagnetic interference intensity exceeds the interference tolerance threshold in the reliability assessment, the modulation order must not exceed the rounded-down result of the ratio of the basic interference threshold to the current interference intensity, i.e., a lower-order modulation is selected to enhance anti-interference capability; when the throughput does not meet requirements in the communication efficiency assessment and the interference is within the tolerance range, the modulation order must not be lower than the rounded-up result of the ratio of the required throughput to the throughput coefficient per unit order, i.e., a higher-order modulation is selected to improve throughput. The formula is expressed as follows:

[0091] when > When the modulation order satisfies ;

[0092] when < and ≤ When the modulation order satisfies ;

[0093] in, To preset the electromagnetic interference tolerance threshold, The modulation order, To preset the required throughput, The basic interference threshold constant represents the modulation order. The theoretical interference tolerance strength when =1 reflects the inherent upper limit of the system hardware's anti-interference capability. This is a constant representing the basic throughput per modulation order, indicating the theoretically achievable increase in basic throughput for the system with each additional modulation order. and These are all determined by hardware design and fundamental communication characteristics.

[0094] This invention achieves dynamic optimization of the transmission interval through the transmission interval control unit 21: when the communication time is too long and affects real-time performance, the transmission interval is shortened to accelerate data transmission speed and ensure the real-time performance of the acquisition task; when the power consumption increment is too large and the number of transmissions is too high, the transmission interval is extended to reduce the transmission frequency, reduce the total power consumption, and avoid excessive energy consumption caused by frequent transmissions. The adjustment process takes into account both real-time requirements and power consumption limitations, ensuring that the change in the transmission interval can meet the requirements of timely data transmission while effectively controlling the power consumption increment. The dynamic adjustment process of the transmission interval control unit 21 is as follows: when the communication time exceeds the maximum allowable value in the communication efficiency assessment, the transmission interval is adjusted to "the maximum allowable communication time divided by the time ratio coefficient" to shorten the interval and reduce the communication time; when the power consumption increment exceeds the limit in the reliability assessment and the number of transmissions exceeds the maximum allowable value, the new interval is taken as the larger value between "the original interval plus a fixed step size" and "the reciprocal of the maximum allowable number of transmissions" to extend the interval, reduce the number of transmissions, and reduce the power consumption increment. The formula expression process is as follows:

[0095] When the communication efficiency evaluation function is < At that time, the transmission interval is adjusted to:

[0096] ;

[0097] When in the reliability evaluation function > and At that time, the transmission interval was adjusted to ;

[0098] in, The adjusted transmission interval, To preset the maximum allowed communication time, For the initial transmission interval, To preset the maximum allowed number of transmissions, To preset the maximum power consumption increment, This is the time scaling factor.

[0099] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. An analog wireless data acquisition system based on dynamic power consumption management, characterized in that, include: An analog signal acquisition network consists of several movable acquisition nodes and a gateway, with each acquisition node forming a communication path with the gateway. The data acquisition module is used to control the acquisition node to acquire analog quantities according to the analog quantity acquisition task in the industrial acquisition environment and convert different analog quantities into a standard format that the gateway can recognize; The data processing module is used to process and fuse multiple collected analog quantities and then encapsulate them in a data packet format. The path selection module selects the optimal communication path from the communication paths for each analog signal acquisition task as the unique communication path for the data packet format. The parameter adjustment module dynamically adjusts wireless transmission parameters based on the optimal communication path. The parameter adjustment module includes a transmission power control unit, a modulation mode control unit, and a transmission interval control unit; The transmission power control unit dynamically adjusts the transmission power of the optimal communication path based on the bit error rate B or the number of retransmissions N in the reliability evaluation function. The modulation control unit is based on the electromagnetic interference intensity in the reliability evaluation function. And the throughput S in the communication efficiency evaluation function dynamically adjusts the modulation scheme of the optimal communication path; The transmission interval control unit is based on the communication time T in the communication efficiency evaluation function and the power consumption increment in the reliability evaluation function. Dynamically adjust the transmission interval of the optimal communication path; The dynamic adjustment process of the transmission power control unit is as follows: When in the reliability evaluation function > or > At that time, the transmission power is adjusted to: ； in, For the adjusted transmission power, The transmission power before adjustment, This is the path attenuation coefficient. To preset the maximum bit error rate, The maximum number of retransmissions is preset. when ≤ and > At that time, the transmission power is adjusted to: ； in, For a fixed step size of power reduction, To preset the maximum power consumption increment, This represents a hardware coefficient, which is a constant. The dynamic adjustment process of the modulation control unit is as follows: when > When the modulation order satisfies ; when < and ≤ When the modulation order satisfies ; in, To preset the electromagnetic interference tolerance threshold, The modulation order, To preset the required throughput, The basic interference threshold constant represents the modulation order. Theoretical interference tolerance strength when =1, This is a basic throughput constant per modulation order, representing the theoretically achievable increase in basic throughput for each additional modulation order. The dynamic adjustment process of the transmission interval control unit is as follows: When the communication efficiency evaluation function is < At that time, the transmission interval is adjusted to: ； When in the reliability evaluation function > and At that time, the transmission interval was adjusted to ; in, A fixed time step added to the transmission interval, The adjusted transmission interval, To preset the maximum allowed communication time, For the initial transmission interval, To preset the maximum allowed number of transmissions, To preset the maximum power consumption increment, This is the time scaling factor.

2. The analog wireless acquisition system based on dynamic power consumption management according to claim 1, characterized in that, The data processing module includes: The data standardization unit is used to convert the analog quantities acquired by each acquisition node into dimensionless standardized values. The conversion process is as follows: ； in, For standardized values, For the original analog quantity, and These are the upper and lower range boundaries for analog quantities; The spatiotemporal alignment unit associates analog quantities of the same time and the same physical area into a data group based on the location information and acquisition timestamp of each acquisition node, so as to obtain multidimensional standardized values ​​of the same acquisition object. The feature fusion unit pre-sets fusion weights for different analog quantities based on the analog quantity acquisition task, generates fusion feature values ​​based on the fusion weights, and generates a device status label when the fusion feature value exceeds a preset threshold. The encapsulation unit encapsulates the fused feature values, device status tags, and multidimensional standardized numerical values ​​into a standard data packet structure.

3. The analog wireless acquisition system based on dynamic power consumption management according to claim 2, characterized in that, The path selection module includes: The virtual scene construction unit is used to build a virtual scene of a real industrial data acquisition environment. It models each data acquisition node based on the real industrial data acquisition environment, places the data acquisition node model in the corresponding virtual scene, and marks the initial position and the end position of the data acquisition node model. The path display unit determines the communication path between each acquisition node and the gateway, as well as the physical distance of the communication path, based on the initial position and the end position of the acquisition node model, and displays it visually within the virtual scene. The path feature determination unit marks obstacles and environmental factors for each communication path in the virtual scene, equating the obstacles to communication path inflection points and the environmental factors to communication delay time; and determines the communication time of each communication path based on the communication path inflection points and communication delay time. The optimal path selection unit determines the optimal communication path based on physical distance and communication time.

4. The analog wireless acquisition system based on dynamic power consumption management according to claim 3, characterized in that, The optimal path selection unit includes a path selection model and an evaluation function establishment unit; The path selection model takes physical distance and communication time as input and outputs the optimal communication path. The evaluation function establishment unit is used to establish an evaluation function for the optimal communication path, and the parameter adjustment module determines the parameter adjustment strategy based on the evaluation function.

5. The analog wireless acquisition system based on dynamic power consumption management according to claim 4, characterized in that, The construction process of the path selection model is as follows: Extract the physical distance and communication time of several communication paths, and construct a number of pairs using the manual expert labeling method. (optimal path) and ( (optimal path), will the ( (optimal path) and ( The optimal path is merged to construct the joint input. The output labels are the labeled sample set of the optimal communication path; The labeled sample set is input into the neural network unit for iterative training to obtain the path selection model; The ( The optimal path represents: for each candidate path, extract the physical distance. As input, the optimal path ID marked by the expert is used as output; The ( (Optimal path) means: extracting communication time The optimal path marked by the expert is taken as input and output as output.

6. The analog wireless acquisition system based on dynamic power consumption management according to claim 5, characterized in that, The evaluation functions include a communication efficiency evaluation function and a reliability evaluation function; The communication efficiency evaluation function is: ; The reliability evaluation function is: ; in, This is the overall communication efficiency value. For communication time, For throughput, Physical distance The number of path inflection points. For reliability values, Bit error rate (BER) is the ratio of the number of erroneous bits to the total number of bits transmitted during data transmission. For the number of retransmissions, Electromagnetic interference intensity, For power consumption increment, , , , , , , These are weighting coefficients that are dynamically adjusted based on the real-time requirements of the data collection task.

Images