Low-power-consumption equipment interconnection and data transmission system

Abstract

The invention belongs to the field of medical data transmission, and particularly relates to a low-power-consumption equipment interconnection and data transmission system, which comprises a data acquisition terminal, a mobile terminal, a distributed interconnection module and a state conversion module, and is characterized in that the distributed interconnection module is connected with each terminal through a distributed node internet, each node corresponds to one terminal, and the state conversion module is connected with the mobile terminal; a demand identification unit in the state conversion module identifies a data demand sent by the terminal and obtains a demand feature vector, the state conversion unit awakens the corresponding terminal according to the demand feature vector, and the data transmission unit transmits data according to a preset data low-power-consumption awakening transmission strategy; the strategy is constructed according to the distance between the data acquisition terminal and the mobile terminal and the maximum radius of signal transmission, efficient data transmission under low power consumption is achieved, the mobile working efficiency is improved, and the requirements of medical scenes for data acquisition and interaction are met.

Description

Technical Field

[0001] The present invention belongs to the field of medical data transmission, and in particular relates to a low-power device interconnection and data transmission system and system. Background Art

[0002] Traditional medical work models rely heavily on fixed medical equipment and in-hospital information systems, requiring personnel to repeatedly travel between wards, nurse stations, and equipment terminals to enter and access data. This results in low diagnostic and treatment efficiency and risks of information lag and misrecording. Mobile models enable real-time data exchange at the patient's bedside through portable devices, but existing technologies face challenges such as high power consumption on mobile devices and wireless signal interference in complex medical environments, severely limiting their effectiveness. For example, the portable mobile medical terminal disclosed in the Chinese patent with authorization announcement number CN107888709B, although it improves the flexibility of data transmission through dual-motherboard design and multiple communication link selection, still has significant defects: first, the collaborative work of multiple motherboards requires the continuous wake-up of the high-power processor, and no dynamic energy consumption adjustment mechanism is introduced, resulting in insufficient terminal endurance; second, the communication link selection relies on static attribute recognition and lacks adaptive anti-interference capabilities for the complex electromagnetic environment of the hospital (such as Wi-Fi, Bluetooth, and medical equipment radio frequency interference), making it difficult to ensure data transmission stability; third, the channel competition problem in the concurrent scenario of multiple devices is not solved, which can easily cause data packet loss or delay; therefore, how to achieve low-power and highly reliable data transmission of medical terminals in a multi-source interference environment is still a technical bottleneck that needs to be broken through in the field of smart medical care. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present invention proposes a low-power device interconnection and data transmission system, including a data acquisition terminal, a mobile terminal, a distributed interconnection module and a state transition module, wherein the distributed interconnection module connects each terminal through a distributed node Internet, and each node corresponds to a terminal. The demand identification unit in the state transition module identifies the data demand issued by the terminal and obtains the demand feature vector. The state transition unit wakes up the corresponding terminal according to the demand feature vector, and the data transmission unit transmits data according to a preset data low-power wake-up transmission strategy; the strategy is constructed based on the distance between the data acquisition terminal and the mobile terminal and the maximum radius of signal transmission, thereby realizing efficient data transmission under low power consumption, improving mobile work efficiency, and meeting the needs of medical scenarios for data acquisition and interaction.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A low-power device interconnection and data transmission system includes at least a data acquisition terminal and a mobile terminal, a distributed interconnection module, and a state conversion module; the state conversion module includes a demand identification unit, a state conversion unit, and a data transmission unit;

[0006] The distributed node internet configured by the distributed interconnection module connects at least one data acquisition terminal and a mobile terminal and two mobile terminals; each node of the distributed node internet corresponds to each mobile terminal or data acquisition terminal;

[0007] Identifying a data demand issued by a data acquisition terminal or a mobile terminal through the demand identification unit, obtaining an identified demand feature vector, waking up the data acquisition terminal or at least one mobile terminal corresponding to the demand feature vector through the state conversion unit according to the demand feature vector, and transmitting the acquired demand data to the corresponding mobile terminal through the data low-power wake-up transmission strategy preset by the data transmission unit according to the woken data acquisition terminal or mobile terminal;

[0008] The data low-power wake-up transmission strategy is constructed according to the distance between the data acquisition terminal and the mobile terminal in the data transmission requirement and the maximum radius of the signal transmission corresponding to the data acquisition terminal or the mobile terminal.

[0009] Specifically, the distributed node internet includes mobile nodes and data acquisition nodes; the mobile nodes correspond one-to-one with mobile terminals and are used to store the working status and data of the mobile terminals; the data acquisition nodes correspond one-to-one with the data acquisition terminals and are used to monitor the working status data of the data acquisition terminals and also to identify, temporarily store and transmit the monitoring data;

[0010] The steps of constructing the distributed node internet include:

[0011] Obtaining the distribution status of data acquisition terminals, information on normal distribution areas of mobile terminals, and historical interaction information between data acquisition terminals and mobile terminals;

[0012] Based on the data acquisition terminal distribution status and mobile terminal normal distribution area information, an initial node distribution status network in the distributed node Internet is constructed;

[0013] According to the normal distribution area information of the mobile terminals, the mobile nodes in the initial node distribution state network are divided into regional nodes, and the mobile nodes divided into the same area are marked as a similar attribute node set;

[0014] According to the data transmission interaction relationship and interaction frequency between the mobile nodes and the data acquisition nodes in the similar attribute node set described in the historical interaction information, combined with the preset frequent interaction judgment mechanism, a frequently interacting data acquisition node set corresponding to each similar attribute node set is obtained;

[0015] A node set is acquired according to the similar attribute node set and the corresponding frequent interaction data to obtain a regional frequent interaction node set.

[0016] Specifically, the steps for building a distributed node internet also include:

[0017] Marking the regional frequently interacting node set into the initial node distribution state network, and constructing first variable real-time connection relationships between all mobile nodes and mobile nodes and second variable real-time connection relationships between mobile nodes and data acquisition nodes based on the interaction frequencies and real-time straight-line distances between mobile nodes and mobile nodes and between mobile nodes and data acquisition nodes in the regional frequently interacting node set;

[0018] A first distributed node interconnection subnet is obtained based on the regional frequently interacting node set, the first variable real-time connection relationship, and the second variable real-time connection relationship.

[0019] Specifically, the steps for building a distributed node internet also include:

[0020] Based on the construction process of the first distributed node interconnection subnet, obtain all distributed node interconnection subnets;

[0021] Based on the historical cross-regional secondment frequency and secondment duration of mobile terminals or data acquisition terminals corresponding to all distributed node interconnected subnets, as well as the straight-line distance between the mobile nodes and the data acquisition nodes, a third variable cross-domain connection relationship is established between the mobile nodes or data acquisition nodes that have an interactive relationship between different distributed node interconnected subnets;

[0022] Based on the third variable cross-domain connection relationship and all distributed node interconnection subnets, a distributed node Internet is obtained through a topological network algorithm.

[0023] Specifically, the steps for building a distributed node internet also include:

[0024] Constructing a main bifurcation node on a decision tree in a decision tree algorithm based on each data acquisition node in the distributed node interconnected subnet;

[0025] Based on each mobile node, according to the second variable real-time connection relationship, a child fork node is constructed under the corresponding main fork node, and the preset frequent interaction determination mechanism is built into the corresponding main fork node;

[0026] When the new mobile node and the current main fork node or the child fork node under the current main fork node meet the preset frequent interaction judgment mechanism, a corresponding second variable real-time connection relationship or a first variable real-time connection relationship is established between the new mobile node and the current main fork node or the child fork node, and the new mobile node is connected to the existing child fork node under the current main fork node through the established first variable real-time connection relationship to obtain a first regional interconnection decision tree.

[0027] Specifically, the steps for building a distributed node internet also include:

[0028] Based on the construction process of the first regional interconnection decision tree, obtaining a regional interconnection decision tree corresponding to each distributed node interconnection subnet;

[0029] Based on all regional interconnection decision trees and the third variable cross-domain connection relationship, a distributed regional interconnection decision forest corresponding to the distributed node Internet is constructed;

[0030] Based on the monitoring of user distribution status, historical interaction information, and the movement trajectory of mobile nodes or data acquisition nodes in the local area and across regions, a movement trajectory prediction function of mobile nodes or data acquisition nodes is constructed through a linear function;

[0031] The movement trajectory prediction function is built into the connection relationship between nodes in the distributed regional interconnected decision forest;

[0032] Based on the error between the moving point position of the mobile target and the moving point position predicted by the moving trajectory prediction function and the error of the straight-line distance, the demand target position corresponding to each node in the distributed regional interconnected decision forest and the connection relationship length between the mobile node and the data acquisition node are trained through the random forest algorithm to obtain a distributed regional interconnected decision forest with demand target prediction.

[0033] Specifically, the steps for constructing a data low-power wake-up transmission strategy include:

[0034] The monitoring data fluctuation function configured by the data acquisition terminal is used to monitor the abnormal state of the corresponding monitored user data in real time. If the monitoring data is determined to be abnormal and there is at least one mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the current data acquisition terminal, the corresponding data acquisition terminal and the target mobile terminal are awakened from the low-power state;

[0035] After waking up the corresponding data acquisition terminal and the target mobile terminal, if the target mobile terminal is within the maximum straight-line distance of the signal propagation corresponding to the current data acquisition terminal, the corresponding information data is directly transmitted to the corresponding target mobile terminal;

[0036] When the data transmission is completed and there is no abnormal monitoring fluctuation within the configured monitoring period, the current data acquisition terminal is converted to a low power consumption state.

[0037] Specifically, the steps for constructing the data low-power wake-up transmission strategy also include:

[0038] If the distance between the target mobile terminal and the current data acquisition terminal is greater than the corresponding maximum straight-line distance of signal propagation, the fastest transmission node chain of the current data is obtained through the distributed regional interconnected decision forest;

[0039] Based on the current fastest data transmission node chain, the acquired data is transmitted to the corresponding target mobile terminal, and when the data transmission is completed, the corresponding data acquisition terminal is converted into a low power consumption state.

[0040] Specifically, the steps for constructing the data low-power wake-up transmission strategy also include:

[0041] When a mobile terminal issues a data demand at the current moment and the target data acquisition terminal corresponding to the data demand is within the maximum straight-line distance of the signal propagation corresponding to the mobile terminal issuing the data demand, the target data acquisition terminal corresponding to the current data demand is directly awakened to perform corresponding data monitoring and transmission, and the target data acquisition terminal after the transmission is completed is switched to a low power consumption state;

[0042] When a mobile terminal issues a data request at the current moment, but there is no target data acquisition terminal corresponding to the data request within the maximum straight-line distance of the signal propagation corresponding to the mobile terminal issuing the data request, and there is at least one mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the target data acquisition terminal;

[0043] The target data acquisition terminal corresponding to the data demand is awakened by a mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the target data acquisition terminal, and the fastest transmission node chain for the current demand data is planned based on the length of the connection relationship between the mobile node corresponding to the current mobile terminal and the data acquisition node corresponding to the target data acquisition terminal in the distributed regional interconnected decision forest, and the mobile terminal corresponding to the mobile node on the fastest transmission node chain for the current data is awakened;

[0044] After waking up all mobile terminals on the current fastest data transmission node chain, the monitoring data corresponding to the data demand is transmitted to the corresponding mobile terminal through the current fastest data transmission node chain. When all data transmission is completed, all awakened mobile terminals and data acquisition terminals are switched to a low power consumption state.

[0045] Specifically, the preset frequent interaction judgment mechanism is as follows: when at least one mobile node in the similar attribute node set transmits data with the data acquisition node at a frequency greater than the frequent interaction threshold within N consecutive days, the corresponding data acquisition node is the frequent interaction data acquisition node of the corresponding similar attribute node set.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] In response to the shortcomings of the existing technology, the present invention constructs a distributed node Internet including mobile nodes and data acquisition nodes through a distributed interconnection module. It constructs multi-dimensional information such as comprehensive device distribution and historical interaction, establishes variable connection relationships and forms a distributed regional interconnection decision forest. It also integrates the predicted node movement trajectory to reflect the status of the corresponding node in real time; at the same time, it constructs a low-power data wake-up transmission strategy based on device distance and signal radius and combines it with the distributed regional interconnection decision forest to quickly obtain the optimal data transmission chain according to the predicted mobile node position, and performs state conversion on the device after the transmission is completed. This series of processes comprehensively realizes low-power operation and efficient interconnection of equipment, can transmit data accurately and quickly, meet the data interaction needs in complex mobile scenarios, and greatly improve the efficiency and quality of medical work. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a module diagram of a low-power device interconnection and data transmission system according to embodiment 1 of the present invention;

[0049] Figure 2 This is a simplified diagram of the regional frequent interaction node set structure in Example 2 of the present invention. DETAILED DESCRIPTION

[0050] Example 1

[0051] See also Figure 1 The present invention provides an embodiment of a low-power device interconnection and data transmission system, which is mainly used in scenarios such as device interconnection and rapid data transmission in large medical facilities. The system includes at least one data acquisition terminal and a mobile terminal, a distributed interconnection module, and a state conversion module. The state conversion module includes a demand identification unit, a state conversion unit, and a data transmission unit.

[0052] The data acquisition terminal is used to monitor the user's physiological information in real time; the mobile terminal is used to query the monitoring data and issue data demand instructions; further, the mobile terminal in this embodiment corresponds to a data acquisition terminal in the medical field;

[0053] The distributed interconnection module is used to obtain the distribution status of terminals through mobile terminals and data, and to construct a distributed node Internet through a topology algorithm;

[0054] The state conversion module is used for state conversion of the mobile terminal or the data acquisition terminal and rapid data transmission; the state conversion module includes a demand identification unit, a state conversion unit and a data transmission unit;

[0055] The demand identification unit is used to identify the data demand issued by the mobile terminal or the data acquisition terminal according to the configured demand identification model to obtain a demand feature vector;

[0056] The state conversion unit converts the state corresponding to the mobile terminal or the data acquisition terminal through the configured device state conversion mechanism according to the demand feature vector;

[0057] Furthermore, in this embodiment, the states corresponding to the mobile terminal or the data acquisition terminal include a low power consumption state and a normal working state; the low power consumption state corresponding to the data acquisition terminal is to maintain only the lowest working state. For example, the blood glucose monitoring device only performs blood glucose monitoring within a set time period, and all functions not related to monitoring are turned off or kept silent.

[0058] The data transmission unit is used to quickly transmit the demand data obtained by the demand identification unit to the corresponding mobile terminal through a data low-power wake-up transmission strategy combined with a distributed node Internet;

[0059] Furthermore, in this embodiment, the workflow corresponding to the data acquisition terminal and mobile terminal, the distributed interconnection module, the demand identification unit, the state conversion unit, and the data transmission unit includes:

[0060] The distributed node internet configured by the distributed interconnection module connects at least one data acquisition terminal and a mobile terminal or two mobile terminals; each node of the distributed node internet corresponds to each mobile terminal or data acquisition terminal;

[0061] Identifying a data demand issued by a data acquisition terminal or a mobile terminal through the demand identification unit, obtaining an identified demand feature vector, waking up the data acquisition terminal or at least one mobile terminal corresponding to the demand feature vector through the state conversion unit according to the demand feature vector, and transmitting the acquired demand data to the corresponding mobile terminal through the data low-power wake-up transmission strategy preset by the data transmission unit according to the woken data acquisition terminal or mobile terminal;

[0062] The data low-power wake-up transmission strategy is constructed according to the distance between the data acquisition terminal and the mobile terminal in the data transmission requirement and the maximum radius of the signal transmission corresponding to the data acquisition terminal or the mobile terminal.

[0063] Furthermore, the distributed node Internet in this embodiment includes mobile nodes and data acquisition nodes; the mobile nodes correspond one-to-one to the mobile terminals and are used to store the working status and data of the mobile terminals; the data acquisition nodes correspond one-to-one to the data acquisition terminals and are used to monitor the working status data of the data acquisition terminals, and are also used to identify, temporarily store and transmit the monitoring data.

[0064] Furthermore, in this embodiment, a data short-term storage time threshold of the data acquisition terminal is set, assuming it is 15 minutes. If it is not transmitted to the corresponding mobile terminal within 15 minutes, it will be uploaded to the background storage database corresponding to the medical site.

[0065] The steps of constructing the distributed node internet include:

[0066] Obtaining the distribution status of data acquisition terminals, information on normal distribution areas of mobile terminals, and historical interaction information between data acquisition terminals and mobile terminals;

[0067] Furthermore, the distribution status data of the data acquisition terminal in this embodiment includes:

[0068] Device location information: Accurately locate the coordinates of the data acquisition terminal in each ward. For example, an electrocardiogram monitor is located on the left side of a bed, and its coordinates are (X1, Y1, Z1) in the rectangular coordinate system of the room. A blood pressure monitor is located on the right side of the bed, and its coordinates are (X2, Y2, Z2). This facilitates the determination of the physical location of the device and is used to determine the spatial distribution of nodes when building a network.

[0069] Ward information to which the equipment belongs: clearly define the ward number that each data acquisition terminal serves. For example, the ECG monitor belongs to Ward 5 on the 3rd floor of the Department of Cardiovascular Medicine. This facilitates the division of network nodes according to ward areas and helps understand the distribution density of equipment in different wards.

[0070] Device type and quantity: Record the specific number of various data acquisition terminals in the ward area, such as ECG monitors, blood pressure monitors, and blood oxygen saturation monitors. For example, Ward 5 has one ECG monitor, one blood pressure monitor, and one blood oxygen saturation monitor. This helps analyze the distribution of different types of equipment in the ward area and provides a basis for network configuration and resource allocation.

[0071] Furthermore, the normal distribution area information of mobile terminals in this embodiment includes:

[0072] Personnel work areas: Record areas where personnel frequently move around during their daily work, such as nurses' stations, doctors' offices, and ward patrol routes. For example, nurses' daily work is primarily concentrated in the nurses' station and the wards they are responsible for. Doctors, in addition to ward patrols, also discuss cases and develop treatment plans in their offices. This regional information is crucial for determining the distribution and activity range of mobile nodes in the network.

[0073] Movement trajectory data: This records the movement trajectory of mobile devices over a period of time (e.g., a week), including the wards visited and the duration of their stay. For example, between 9:00 AM and 10:00 AM, Nurse C departs from the nurses' station and passes through Wards 5, 6, and 7 on the third floor, spending 5 minutes, 8 minutes, and 6 minutes in each ward, respectively. By analyzing this movement trajectory data, we can understand the work habits and activity patterns of these individuals and optimize network connectivity and low-power data wake-up transmission strategies.

[0074] Furthermore, in this embodiment, the historical interaction information between the data acquisition terminal and the mobile terminal includes:

[0075] Interaction time: The specific time point each time the data acquisition terminal transmits data to the mobile terminal or the mobile terminal issues a command to the data acquisition terminal. For example, the ECG monitor sent abnormal heart rate data of the monitored user to Nurse C's mobile terminal at 10:15 yesterday morning. Accurate time records help analyze the time patterns and timeliness of data interactions.

[0076] Interactive data content: The specific content of the transmitted data, such as the user's heart rate, blood pressure, blood oxygen saturation and other physiological indicators, as well as the content of data query instructions issued by personnel. For example, a doctor uses a mobile terminal to query the blood pressure fluctuation data of a monitored user for the past week. Understanding the interactive data content can better grasp the characteristics of data needs and the importance of data transmission.

[0077] Interaction frequency: Counts the number of interactions between the data acquisition terminal and the mobile terminal within a certain period of time (such as a month). For example, the ECG monitor in Ward 5 interacted with Nurse C's mobile terminal 50 times in the past month. The interaction frequency can be used to determine which devices are closely related, providing data support for constructing a set of frequently interacting nodes in a region.

[0078] Interaction initiator: Clarify whether each interaction is initiated by the data acquisition terminal actively sending data (such as when an abnormality is detected), or by the mobile terminal initiating data query or issuing instructions. For example, a doctor actively queries the latest physiological data of the monitored user in order to adjust the treatment plan. Understanding the interaction initiator helps analyze the driving factors and business needs of data interaction.

[0079] Based on the data acquisition terminal distribution status and mobile terminal normal distribution area information, an initial node distribution status network in the distributed node Internet is constructed;

[0080] According to the normal distribution area information of the mobile terminals, the mobile nodes in the initial node distribution state network are divided into regional nodes, and the mobile nodes divided into the same area are marked as a similar attribute node set;

[0081] Furthermore, in this embodiment, the normal distribution area information of the mobile terminal is the working area corresponding to a specific mobile terminal most of the time; for example, a dentist will appear in the area corresponding to the dentistry department most of the time, and occasionally appear in other department areas when there is a need for a general consultation.

[0082] According to the data transmission interaction relationship and interaction frequency between the mobile nodes and the data acquisition nodes in the similar attribute node set described in the historical interaction information, combined with the preset frequent interaction judgment mechanism, a frequently interacting data acquisition node set corresponding to each similar attribute node set is obtained;

[0083] Furthermore, the preset frequent interaction judgment mechanism in this embodiment is specifically: when at least one mobile node in a certain similar attribute node set transmits data with a certain data acquisition node at a frequency greater than the frequent interaction threshold within N consecutive days, the corresponding data acquisition node is the frequent interaction data acquisition node of the corresponding similar attribute node set.

[0084] Obtaining a node set according to the similar attribute node set and the corresponding frequent interaction data to obtain a regional frequent interaction node set;

[0085] Furthermore, if Figure 2 , where S is a set of similar attribute nodes, each circle in the dotted box pointed to by S represents a mobile node, and A and B represent the frequently interacting data acquisition nodes connected to the similar attribute node set S.

[0086] Marking the regional frequently interacting node set into the initial node distribution state network, and constructing first variable real-time connection relationships between all mobile nodes and mobile nodes and second variable real-time connection relationships between mobile nodes and data acquisition nodes based on the interaction frequencies and real-time straight-line distances between mobile nodes and mobile nodes and between mobile nodes and data acquisition nodes in the regional frequently interacting node set;

[0087] Furthermore, in this embodiment, the first variable real-time connection relationship and the second variable real-time connection relationship can well establish connections between different mobile terminals and between the mobile terminal and the data acquisition terminal, making data transmission between corresponding devices within the department more efficient.

[0088] Obtaining a first distributed node interconnection subnet based on the regional frequently interacting node set, the first variable real-time connection relationship, and the second variable real-time connection relationship;

[0089] Based on the construction process of the first distributed node interconnection subnet, obtain all distributed node interconnection subnets;

[0090] Based on the historical cross-regional secondment frequency and secondment duration of mobile terminals or data acquisition terminals corresponding to all distributed node interconnected subnets, as well as the straight-line distance between the mobile nodes and the data acquisition nodes, a third variable cross-domain connection relationship is established between the mobile nodes or data acquisition nodes that have an interactive relationship between different distributed node interconnected subnets;

[0091] Furthermore, in this embodiment, the third variable cross-domain connection relationship can be used to implement location change monitoring of cross-region mobile terminals or data acquisition terminals and corresponding cross-region data transmission.

[0092] Based on the third variable cross-domain connection relationship and all distributed node interconnection subnets, a distributed node Internet is obtained through a topological network algorithm;

[0093] Constructing a main bifurcation node on a decision tree in a decision tree algorithm based on each data acquisition node in the distributed node interconnected subnet;

[0094] Based on each mobile node, according to the second variable real-time connection relationship, a child fork node is constructed under the corresponding main fork node, and the preset frequent interaction determination mechanism is built into the corresponding main fork node;

[0095] When the new mobile node and the current main fork node or the child fork node under the current main fork node meet the preset frequent interaction judgment mechanism, a corresponding second variable real-time connection relationship or a first variable real-time connection relationship is established between the new mobile node and the current main fork node or the child fork node, and the new mobile node is connected to the existing child fork node under the current main fork node through the established first variable real-time connection relationship to obtain a first regional interconnection decision tree;

[0096] Based on the construction process of the first regional interconnection decision tree, obtaining a regional interconnection decision tree corresponding to each distributed node interconnection subnet;

[0097] Based on all regional interconnection decision trees and the third variable cross-domain connection relationship, a distributed regional interconnection decision forest corresponding to the distributed node Internet is constructed;

[0098] Based on the monitoring of user distribution status, historical interaction information, and the movement trajectory of mobile nodes or data acquisition nodes in the local area and across regions, a movement trajectory prediction function of mobile nodes or data acquisition nodes is constructed through a linear function;

[0099] The movement trajectory prediction function is built into the connection relationship between nodes in the distributed regional interconnected decision forest;

[0100] Based on the error between the moving point position of the mobile target and the moving point position predicted by the moving trajectory prediction function and the error of the straight-line distance, the demand target position corresponding to each node in the distributed regional interconnected decision forest and the connection relationship length between the mobile node and the data acquisition node are trained through the random forest algorithm to obtain a distributed regional interconnected decision forest with demand target prediction.

[0101] Furthermore, in this embodiment, the random forest algorithm is used to train the required target position corresponding to each node and the length of the connection relationship between the nodes, which can better predict the target position of the personnel corresponding to the mobile terminal based on historical work information and the work schedule of the day, wake up the corresponding device in advance, and avoid data transmission delays.

[0102] Furthermore, the steps of constructing the data low-power wake-up transmission strategy in this embodiment include:

[0103] The monitoring data fluctuation function configured by the data acquisition terminal is used to monitor the abnormal state of the corresponding monitored user data in real time. If the monitoring data is determined to be abnormal and there is at least one mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the current data acquisition terminal, the corresponding data acquisition terminal and the target mobile terminal are awakened from the low-power state;

[0104] After waking up the corresponding data acquisition terminal and the target mobile terminal, if the target mobile terminal is within the maximum straight-line distance of the signal propagation corresponding to the current data acquisition terminal, the corresponding information data is directly transmitted to the corresponding target mobile terminal;

[0105] When data transmission is completed and there is no abnormal monitoring fluctuation within the configured monitoring period, the current data acquisition terminal is converted to a low power consumption state;

[0106] If the distance between the target mobile terminal and the current data acquisition terminal is greater than the corresponding maximum straight-line distance of signal propagation, the fastest transmission node chain of the current data is obtained through the distributed regional interconnected decision forest;

[0107] Furthermore, the current fastest data transmission node chain in this embodiment is obtained through the real-time transformation length of the corresponding node connection relationship between the target mobile terminal and the current data acquisition terminal and between the target mobile terminal and the current data acquisition terminal through the shortest path algorithm.

[0108] Based on the current fastest data transmission node chain, the acquired data is transmitted to the corresponding target mobile terminal, and when the data transmission is completed, the corresponding data acquisition terminal is converted into a low power consumption state;

[0109] When a mobile terminal issues a data demand at the current moment and the target data acquisition terminal corresponding to the data demand is within the maximum straight-line distance of the signal propagation corresponding to the mobile terminal issuing the data demand, the target data acquisition terminal corresponding to the current data demand is directly awakened to perform corresponding data monitoring and transmission, and the target data acquisition terminal after the transmission is completed is switched to a low power consumption state;

[0110] When a mobile terminal issues a data request at the current moment, but there is no target data acquisition terminal corresponding to the data request within the maximum straight-line distance of the signal propagation corresponding to the mobile terminal issuing the data request, and there is at least one mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the target data acquisition terminal;

[0111] The target data acquisition terminal corresponding to the data demand is awakened by a mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the target data acquisition terminal, and the fastest transmission node chain for the current demand data is planned based on the length of the connection relationship between the mobile node corresponding to the current mobile terminal and the data acquisition node corresponding to the target data acquisition terminal in the distributed regional interconnected decision forest, and the mobile terminal corresponding to the mobile node on the fastest transmission node chain for the current data is awakened;

[0112] After waking up all mobile terminals on the current fastest data transmission node chain, the monitoring data corresponding to the data demand is transmitted to the corresponding mobile terminal through the current fastest data transmission node chain. When all data transmission is completed, all awakened mobile terminals and data acquisition terminals are switched to a low power consumption state.

[0113] The low-power data wake-up transmission strategy of this process monitors user data fluctuations in real time, intelligently determines abnormal conditions, and dynamically wakes up related devices based on the maximum straight-line distance of signal propagation, ensuring efficient data transmission in the shortest time possible. This strategy can not only directly transmit data when the target mobile terminal is within the signal range, but also find the optimal transmission path through the distributed regional interconnected decision forest to ensure fast and reliable transmission of long-distance data. After the data transmission is completed, the system automatically switches the device to a low-power state, significantly reducing energy consumption. This intelligent and adaptive data transmission mechanism not only improves the timeliness and accuracy of data transmission, but also greatly extends the battery life of the device, making it particularly suitable for frequent data interaction needs in mobile scenarios.

[0114] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also change, modify, replace and modify the above-mentioned embodiments without departing from the scope of protection of the purpose of the present invention and the claims, and all of these are protected by the present invention.

[0115] If the technical solution disclosed herein involves personal information, the product using the technical solution disclosed herein has clearly informed the individual of the personal information processing rules and obtained the individual's voluntary consent before processing the personal information. If the technical solution disclosed herein involves sensitive personal information, the product using the technical solution disclosed herein has obtained the individual's separate consent before processing the sensitive personal information and at the same time meets the "explicit consent" requirement. For example, on personal information collection devices such as cameras, a clear and prominent sign is set to inform that the individual has entered the personal information collection scope and that personal information will be collected. If the individual voluntarily enters the collection scope, it is deemed that they agree to the collection of their personal information; or on the personal information processing device, when the personal information processing rules are notified by obvious signs / information, the individual's authorization is obtained through pop-up information or by asking the individual to upload their personal information. The personal information processing rules may include information such as the personal information processor, the purpose of personal information processing, the processing method, and the type of personal information processed.

Claims

1. A low-power device interconnection and data transmission system, characterized in that: It includes at least one data acquisition terminal and mobile terminal, a distributed interconnection module, and a state conversion module; the state conversion module includes a demand identification unit, a state conversion unit, and a data transmission unit; The distributed node internet configured by the distributed interconnection module connects at least one data acquisition terminal and a mobile terminal or two mobile terminals; each node in the distributed node internet corresponds to each mobile terminal or data acquisition terminal; The demand identification unit identifies the data demand issued by the data acquisition terminal or the mobile terminal, obtains the demand feature vector, and wakes up the data acquisition terminal or at least one mobile terminal corresponding to the demand feature vector through the state conversion unit according to the demand feature vector. According to the woken-up data acquisition terminal or mobile terminal, the acquired demand data is transmitted to the corresponding mobile terminal through the data low-power wake-up transmission strategy preset by the data transmission unit; the data low-power wake-up transmission strategy is constructed according to the distance between the data acquisition terminal and the mobile terminal in the data transmission demand and the maximum radius of the signal transmission corresponding to the data acquisition terminal or mobile terminal.

2. A low-power device interconnection and data transmission system according to claim 1, characterized in that: The distributed node internet includes mobile nodes and data acquisition nodes; the mobile nodes correspond one-to-one with the mobile terminals and are used to store the working status and data of the mobile terminals; the data acquisition nodes correspond one-to-one with the data acquisition terminals and are used to monitor the working status data of the data acquisition terminals and also to identify, temporarily store and transmit the monitoring data; The steps of constructing the distributed node internet include: Obtaining the distribution status of data acquisition terminals, information on normal distribution areas of mobile terminals, and historical interaction information between data acquisition terminals and mobile terminals; Based on the data acquisition terminal distribution status and mobile terminal normal distribution area information, an initial node distribution status network in the distributed node Internet is constructed; According to the normal distribution area information of the mobile terminals, the mobile nodes in the initial node distribution state network are divided into regional nodes, and the mobile nodes divided into the same area are marked as a similar attribute node set; According to the data transmission interaction relationship and interaction frequency between the mobile nodes and the data acquisition nodes in the similar attribute node set described in the historical interaction information, combined with the preset frequent interaction judgment mechanism, a frequently interacting data acquisition node set corresponding to each similar attribute node set is obtained; A node set is acquired according to the similar attribute node set and the corresponding frequent interaction data to obtain a regional frequent interaction node set.

3. A low-power device interconnection and data transmission system as claimed in claim 2, characterized in that: The steps of constructing the distributed node internet also include: Marking the regional frequently interacting node set into the initial node distribution state network, and constructing first variable real-time connection relationships between all mobile nodes and mobile nodes and second variable real-time connection relationships between mobile nodes and data acquisition nodes based on the interaction frequencies and real-time straight-line distances between mobile nodes and mobile nodes and between mobile nodes and data acquisition nodes in the regional frequently interacting node set; A first distributed node interconnection subnet is obtained based on the regional frequently interacting node set, the first variable real-time connection relationship, and the second variable real-time connection relationship.

4. A low-power device interconnection and data transmission system as claimed in claim 3, characterized in that: The steps of constructing the distributed node internet also include: Based on the construction process of the first distributed node interconnection subnet, obtain all distributed node interconnection subnets; Based on the historical cross-regional secondment frequency and secondment duration of mobile terminals or data acquisition terminals corresponding to all distributed node interconnected subnets, as well as the straight-line distance between the mobile nodes and the data acquisition nodes, a third variable cross-domain connection relationship is established between the mobile nodes or data acquisition nodes that have an interactive relationship between different distributed node interconnected subnets; Based on the third variable cross-domain connection relationship and all distributed node interconnection subnets, a distributed node Internet is obtained through a topological network algorithm.

5. A low-power device interconnection and data transmission system as claimed in claim 4, characterized in that: The steps of constructing the distributed node internet also include: Constructing a main bifurcation node on a decision tree in a decision tree algorithm based on each data acquisition node in the distributed node interconnected subnet; Based on each mobile node, according to the second variable real-time connection relationship, a child fork node is constructed under the corresponding main fork node, and the preset frequent interaction determination mechanism is built into the corresponding main fork node; When the new mobile node and the current main fork node or the child fork node under the current main fork node meet the preset frequent interaction judgment mechanism, a corresponding second variable real-time connection relationship or a first variable real-time connection relationship is established between the new mobile node and the current main fork node or the child fork node, and the new mobile node is connected to the existing child fork node under the current main fork node through the established first variable real-time connection relationship to obtain a first regional interconnection decision tree.

6. A low-power device interconnection and data transmission system as claimed in claim 5, characterized in that: The steps of constructing the distributed node internet also include: Based on the construction process of the first regional interconnection decision tree, obtaining a regional interconnection decision tree corresponding to each distributed node interconnection subnet; Based on all regional interconnection decision trees and the third variable cross-domain connection relationship, a distributed regional interconnection decision forest corresponding to the distributed node Internet is constructed; Based on the monitoring of user distribution status, historical interaction information, and the movement trajectory of mobile nodes or data acquisition nodes in the local area and across regions, a movement trajectory prediction function of mobile nodes or data acquisition nodes is constructed through a linear function; The movement trajectory prediction function is built into the connection relationship between nodes in the distributed regional interconnected decision forest; Based on the error between the moving point position of the mobile target and the moving point position predicted by the moving trajectory prediction function and the error of the straight-line distance, the demand target position corresponding to each node in the distributed regional interconnected decision forest and the connection relationship length between the mobile node and the data acquisition node are trained through the random forest algorithm to obtain a distributed regional interconnected decision forest with demand target prediction.

7. A low-power device interconnection and data transmission system as claimed in claim 6, characterized in that: The steps of constructing the data low-power wake-up transmission strategy include: The monitoring data fluctuation function configured by the data acquisition terminal is used to monitor the abnormal state of the corresponding monitored user data in real time. If the monitoring data is determined to be abnormal and there is at least one mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the current data acquisition terminal, the corresponding data acquisition terminal and the target mobile terminal are awakened from the low-power state; After waking up the corresponding data acquisition terminal and the target mobile terminal, if the target mobile terminal is within the maximum straight-line distance of the signal propagation corresponding to the current data acquisition terminal, the corresponding information data is directly transmitted to the corresponding target mobile terminal; When the data transmission is completed and there is no abnormal monitoring fluctuation within the configured monitoring period, the current data acquisition terminal is converted into a low power consumption state.

8. A low-power device interconnection and data transmission system as claimed in claim 7, characterized in that: The step of constructing the data low-power wake-up transmission strategy also includes: If the distance between the target mobile terminal and the current data acquisition terminal is greater than the corresponding maximum straight-line distance of signal propagation, the fastest transmission node chain of the current data is obtained through the distributed regional interconnected decision forest; Based on the current fastest data transmission node chain, the acquired data is transmitted to the corresponding target mobile terminal, and when the data transmission is completed, the corresponding data acquisition terminal is converted into a low power consumption state.

9. A low-power device interconnection and data transmission system as claimed in claim 8, characterized in that: The step of constructing the data low-power wake-up transmission strategy also includes: When a mobile terminal issues a data demand at the current moment and the target data acquisition terminal corresponding to the data demand is within the maximum straight-line distance of the signal propagation corresponding to the mobile terminal issuing the data demand, the target data acquisition terminal corresponding to the current data demand is directly awakened to perform corresponding data monitoring and transmission, and the target data acquisition terminal after the transmission is completed is switched to a low power consumption state; When a mobile terminal issues a data request at the current moment, but there is no target data acquisition terminal corresponding to the data request within the maximum straight-line distance of the signal propagation corresponding to the mobile terminal issuing the data request, and there is at least one mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the target data acquisition terminal; The target data acquisition terminal corresponding to the data demand is awakened by a mobile terminal within the maximum straight-line distance of the signal propagation corresponding to the target data acquisition terminal, and the fastest transmission node chain for the current demand data is planned based on the length of the connection relationship between the mobile node corresponding to the current mobile terminal and the data acquisition node corresponding to the target data acquisition terminal in the distributed regional interconnected decision forest, and the mobile terminal corresponding to the mobile node on the fastest transmission node chain for the current data is awakened; After waking up all mobile terminals on the current fastest data transmission node chain, the monitoring data corresponding to the data demand is transmitted to the corresponding mobile terminal through the current fastest data transmission node chain. When all data transmission is completed, all awakened mobile terminals and data acquisition terminals are switched to a low power consumption state.

10. A low-power device interconnection and data transmission system according to claim 9, characterized in that: The preset frequent interaction judgment mechanism is specifically as follows: when at least one mobile node in the similar attribute node set transmits data with the data acquisition node at a frequency greater than a frequent interaction threshold within N consecutive days, the corresponding data acquisition node is a frequent interaction data acquisition node of the corresponding similar attribute node set.

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