A method and system for optimizing transmission of a bluetooth temperature monitoring network signal of an energy storage cabinet

Abstract

The application provides a kind of energy storage cabinet bluetooth temperature monitoring network signal optimization transmission method and system, method includes: in energy storage cabinet Bay position, the three-dimensional radiation pattern of the antenna in the local environment containing metal structure is obtained by full-wave electromagnetic simulation or measurement, the intersection of maximum radiation intensity direction vector and metal protective cover inner surface is determined as the effective radiation starting point;Based on the spatial coordinate relationship between gateway installation position and the starting point, a real signal radiation source model is constructed;Combined with Bay position structure information and temperature monitoring node position, the signal accessibility of each node under the implementable antenna orientation gear and transmission power gear is calculated;According to the node importance level, accessibility and reference received intensity threshold, a communication reliability target and a compensation priority are generated, and the deployment is completed by selecting the configuration combination with the smallest weighted gap. The application improves the accuracy of bluetooth signal modeling in a metal enclosed environment and the communication reliability of key nodes.

Description

Technical Field

[0001] This invention belongs to the field of signal transmission, and in particular relates to a method and system for optimizing the transmission of Bluetooth temperature monitoring network signals for energy storage cabinets. Background Technology

[0002] Energy storage cabinets typically integrate a large number of battery modules, and their operational safety highly depends on continuous monitoring of the temperature status of critical components. Therefore, deploying a temperature monitoring network based on low-power wireless communication such as Bluetooth within the energy storage cabinet has become a common technical solution. In existing technologies, several Bluetooth temperature sensor nodes are usually installed inside the energy storage cabinet compartment, and one or more Bluetooth gateways are set up to centrally receive temperature data, which is then uploaded to a higher-level system via wired or wireless means.

[0003] However, due to the prevalence of all-metal or high-proportion metal structures within energy storage cabinets to meet mechanical strength, electromagnetic protection, and explosion-proof requirements, the cabinet itself creates a significant shielding effect on wireless signals. This is especially true in multi-layered bay structures with densely stacked battery modules, where Bluetooth signals experience complex propagation paths and severe attenuation within the cabinet, easily leading to communication blind spots, node disconnections, and unstable online rates. To mitigate these issues, existing solutions often improve coverage by increasing transmission power, adding more gateways, or relying on experience for repeated debugging. However, this often results in increased energy consumption, higher hardware costs, and increased construction and maintenance complexity, and it is difficult to stably cover the differences in metal shielding between different cabinet batches or under different installation conditions. On the other hand, although some solutions introduce external antennas and place them near the metal structure to improve penetration, engineering modeling and deployment decisions often equate the Bluetooth gateway's installation location with the signal radiation origin, failing to fully consider the spatial offset between the actual radiation position of the external antenna under the metal protective cover and the gateway's installation location. This leads to discrepancies between the resulting coverage assessment and the actual online rate. Meanwhile, existing deployment optimizations often focus on overall coverage or average signal level, lacking reliability grading constraints for temperature monitoring services. This makes it difficult to provide more robust communication guarantees for key measurement points when hardware resources are limited, ultimately resulting in key nodes remaining in a critical reachable state for a long time under certain structural channels or installation combinations.

[0004] In summary, existing Bluetooth temperature monitoring networks for energy storage cabinets still suffer from engineering problems in metal enclosure environments, such as signal source identification bias, unstable accessibility determination under structural obstruction conditions, and reliance on experience in deployment and parameter selection, making it difficult to ensure the reliability of key measurement points. Summary of the Invention

[0005] The purpose of this invention is to design a method and system for optimizing the transmission of Bluetooth temperature monitoring network signals in energy storage cabinets, which can achieve optimized signal transmission configuration that prioritizes key measurement points with the minimum necessary hardware resources while taking into account the overall online rate.

[0006] To achieve the above objectives, a first aspect of the present invention provides a method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet, the method comprising: A Bluetooth gateway is installed in the Bay position of the energy storage cabinet. The Bluetooth gateway is connected to an external antenna, which is fixed under the metal protective cover. The three-dimensional radiation pattern of the external antenna in a local environment including a metal protective cover and adjacent metal structures is obtained by full-wave electromagnetic simulation or actual measurement. Based on the three-dimensional radiation pattern, determine the direction vector corresponding to the direction of maximum radiation intensity, and calculate the intersection point of the direction vector extending from the antenna phase center to the inner surface of the metal protective cover. Define this intersection point as the effective radiation starting point. Based on the spatial coordinate relationship between the installation location of the Bluetooth gateway and the effective radiation starting point, a real signal radiation source model is established; Based on the real signal radiation source model, combined with the Bay position structure information of the energy storage cabinet and the installation position of each temperature monitoring node, the signal reachability of each temperature monitoring node under the feasible antenna orientation and transmission power levels is calculated. Based on the importance level, signal reachability, and reference received strength threshold of each temperature monitoring node, the communication reliability target and configuration compensation priority of each temperature monitoring node are generated. Based on the communication reliability target and configuration compensation priority, select the configuration combination with the smallest weighted gap among the feasible antenna orientation and transmission power levels, and complete the installation of the Bluetooth gateway in the corresponding Bay position, the fixing of the external antenna under the metal protective cover, and the setting of antenna orientation and transmission power.

[0007] Furthermore, in the step of obtaining the three-dimensional radiation pattern through full-wave electromagnetic simulation or actual measurement, electromagnetic field simulation software is used to simulate the radiation characteristics of the external antenna under actual installation conditions, or the actual radiation pattern of the external antenna is measured in an anechoic chamber environment.

[0008] Furthermore, the Bay position structure information includes the internal partition layout, layer height distribution, and location of metal obstructions within the Bay position, used to determine whether the line-of-sight propagation path between the temperature monitoring node and the effective radiation starting point is obstructed.

[0009] Furthermore, the signal reachability is determined by comparing the representative value of the received strength recorded during the debugging phase with a reference received strength threshold. When the representative value of the received strength is not lower than the reference received strength threshold, the signal of the temperature monitoring node is determined to be reachable.

[0010] Furthermore, the importance level of the temperature monitoring node is pre-set by the engineering safety specifications and divided into three discrete levels: high, medium, and low, with the high importance level corresponding to a higher communication reliability target.

[0011] Furthermore, when a temperature monitoring node is determined to be unreachable, its communication reliability target is increased by a structural constraint compensation amount to improve the configuration compensation priority of that node.

[0012] Furthermore, the configuration compensation priority is equal to the non-negative portion of the difference between the communication reliability target and the signal reachability score, where the signal reachability score is 0 or 1.

[0013] Furthermore, the implementable antenna orientation level and transmit power level are preset finite discrete sets, which are jointly limited by the step angle range of the external antenna mechanical rotation mechanism and the power level supported by the Bluetooth chip.

[0014] Furthermore, the fixed position of the external antenna under the metal protective cover is defined by a normalized coordinate range. Based on the geometric reference point of the corresponding Bay position, the proportional position along the width direction of the Bay position is located in the horizontal center region of the Bay position, and the proportional position along the height direction of the Bay position is located in the top region of the Bay position.

[0015] In a second aspect of the present invention, a Bluetooth temperature monitoring network signal optimization transmission system for an energy storage cabinet is provided, the system comprising: The realistic radiation source modeling module is used to install a Bluetooth gateway in the Bay position of the energy storage cabinet. Through full-wave electromagnetic simulation or actual measurement, it obtains the three-dimensional radiation pattern of the external antenna in a local environment including a metal protective cover and adjacent metal structures. Based on the three-dimensional radiation pattern, it determines the direction vector corresponding to the direction of maximum radiation intensity and calculates the intersection point of this direction vector extending from the antenna phase center to the inner surface of the metal protective cover. This intersection point is defined as the effective radiation starting point. Based on the spatial coordinate relationship between the installation position of the Bluetooth gateway and the effective radiation starting point, a realistic signal radiation source model is established. The node reachability analysis module is used to calculate the signal reachability of each temperature monitoring node under the feasible antenna orientation and transmission power levels, based on the real signal radiation source model, combined with the Bay position structure information of the energy storage cabinet and the installation position of each temperature monitoring node. The reliability target generation module is used to generate communication reliability targets and configure compensation priorities for each temperature monitoring node based on the importance level, signal reachability, and reference received strength threshold of each temperature monitoring node. The deployment configuration decision module is used to select the configuration combination with the smallest weighted gap from the feasible antenna orientation and transmission power levels based on the communication reliability target and configuration compensation priority, and to complete the installation of the Bluetooth gateway in the corresponding Bay position, the fixing of the external antenna under the metal protective cover, and the setting of antenna orientation and transmission power.

[0016] The beneficial technical effects of the present invention are at least as follows: To address the aforementioned issues, this invention provides a method and system for optimizing the transmission of Bluetooth temperature monitoring network signals in energy storage cabinets. By modeling the correlation between the Bluetooth gateway installation location and the actual radiation point of the external antenna under the metal protective cover, network analysis and deployment decisions are based on the actual radiation point, thus eliminating coverage assessment errors caused by signal source assumption biases. Furthermore, by combining the structural characteristics of the energy storage cabinet's Bay position with debugging records, a node-level reachability evaluation is formed, enabling the communication capabilities under different antenna orientations and transmission power levels to be quantified to specific temperature monitoring nodes in an engineering-executable manner. The importance of nodes in temperature monitoring services is further incorporated as a basis for forming reliability targets, ensuring that the communication target of each node matches its reachability margin and structural constraints, thereby forming a configuration compensation priority that can be used for on-site deployment. Finally, within the feasible configuration set, antenna orientation and power configuration are determined through calculable selection criteria, and the implementation actions of gateway installation in the Bay position and antenna placement are simultaneously implemented, achieving optimized signal transmission configuration that prioritizes key measurement points with the minimum necessary hardware resources while considering overall online rate. Through the above improvements, the present invention can achieve more stable temperature monitoring data transmission under the strong shielding of the metal structure of the energy storage cabinet, reduce the reliance on repeated trial installations and experience-based parameter adjustments, reduce the workload of on-site debugging and subsequent maintenance costs, and improve the long-term communication reliability of key temperature measuring points in complex structural channels. Attached Figure Description

[0017] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to the present invention.

[0019] Figure 2 This is a framework diagram of a Bluetooth temperature monitoring network signal optimization transmission system for an energy storage cabinet according to the present invention. Detailed Implementation

[0020] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0021] In one or more embodiments, such as Figure 1 As shown, a method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet is disclosed, the method comprising the following: S1: A Bluetooth gateway is installed in the Bay position of the energy storage cabinet. The Bluetooth gateway is connected to an external antenna, which is fixed under the metal protective cover. The three-dimensional radiation pattern of the external antenna in a local environment including a metal protective cover and adjacent metal structures is obtained by full-wave electromagnetic simulation or actual measurement. Based on the three-dimensional radiation pattern, determine the direction vector corresponding to the direction of maximum radiation intensity, and calculate the intersection point of the direction vector extending from the antenna phase center to the inner surface of the metal protective cover. Define this intersection point as the effective radiation starting point. Based on the spatial coordinate relationship between the installation location of the Bluetooth gateway and the effective radiation starting point, a real signal radiation source model is established; Specifically, this step is used to establish a realistic signal radiation source model of the Bluetooth temperature monitoring network within the metal enclosure of the energy storage cabinet, ensuring that subsequent judgments regarding signal reachability and deployment configuration are based on the actual installation structure. In the engineering field, the Bluetooth gateway is typically installed in a bay within the cabinet for ease of fixing, power supply, and maintenance, while Bluetooth signal radiation is often achieved through an external antenna. The external antenna is led out via a predetermined wiring path and fixed in a designated area under the metal protective cover to reduce the shielding effect of the metal structure on the wireless signal. Because this structural arrangement results in a spatial offset between the actual signal radiation origin and the gateway's installation location, it is necessary to model the "gateway installation location" and the "effective radiation origin of the antenna under the metal protective cover" as a pair of bound spatial elements. The modeling inputs come from the energy storage cabinet structural description information and bay layout information, used to determine the spatial relationship between the metal protective cover, partitions, and bays; simultaneously, combined with the physical connection form, wiring path, and fixing points of the gateway and external antenna, the model is used to determine the antenna's deployable area and its achievable orientation range. During on-site implementation, the antenna can be positioned according to the drawings or installation instructions. For example, based on the gateway installation bay, the corresponding wiring hole and binding point can be found. The antenna can be led to the area under the metal protective cover along the predetermined path and fixed at the reserved fixed position, so that the radiation starting point falls within the range allowed by the structure and has consistent installation repeatability.

[0022] To distill the above engineering process into spatial relationships that can be directly used in subsequent steps, this step represents the correspondence between the gateway installation location and the effective radiation starting point of the antenna as a spatial mapping constrained by the structure and installation conditions, and uses the mapping result as the actual radiation source location for subsequent analysis: ; in, The installation location for the Bluetooth gateway is determined by the Bay layout. This is a set of constraints for the metal structure and antenna arrangement of the energy storage cabinet, including the relative position of the metal protective cover, wiring path, allowable fixed area and orientation restrictions, etc. The spatial mapping process under the above constraints corresponds to the positioning result of "leading out and fixing the antenna along a predetermined path" in the engineering process. This refers to the effective radiation starting point location formed by the external antenna beneath the metal protective cover. To facilitate quick on-site verification that the radiation starting point falls within the target area, a scaled-down implementation can be used: taking the geometric reference point of a gateway installation bay as a baseline, the "antenna-fixable area" is described using two normalized coordinate intervals, for example, a scaled-down position along the bay width. This indicates the proportional position along the Bay height direction. This indicates that the area is allowed to take In the middle section, The antenna should be installed close to the inside of the protective cover; during installation, select the antenna mounting point within this permissible area and record its corresponding location. This serves as the starting point identifier for the gateway's radiation. Furthermore, the antenna orientation can be represented by discrete configuration parameters, such as dividing the implementable orientation into several levels. The transmission power is divided into several levels. In this step, an "installation location" is defined for each gateway. —Radiation starting point — Optional configuration set The structured description is used for subsequent steps to determine accessibility and select deployment options within the same model framework. By repeating the above positioning and modeling process for all candidate Bluetooth gateways within the energy storage cabinet, a unified set of Bluetooth signal real radiation source model instances can be formed, clarifying the spatial relationship between the installation location of each gateway and its corresponding external antenna's real radiation starting point, and preserving the optional configuration range of this radiation starting point under structural constraints.

[0023] S2: Based on the real signal radiation source model, combined with the Bay position structure information of the energy storage cabinet and the installation position of each temperature monitoring node, calculate the signal reachability of each temperature monitoring node under the feasible antenna orientation and transmission power levels. Specifically, step two uses the Bluetooth signal real radiation source model output in step one as the sole basis, and identifies the real radiation starting point corresponding to each gateway in the model. With implementable configuration set The focus then shifts to reachability determination, specifically whether a node can be stably received. The Bay layering and metal partitions inside the energy storage cabinet divide the propagation path into several structural channels. The same radiation origin exhibits significant differences in performance across different channels. Therefore, this step uses the "structural relationship between the node and the radiation origin" as the primary index to organize measurements and calculations: for each temperature monitoring node... First, determine its relative position based on the relationship between the internal structure and the Bay position in step one. Structural relationship hierarchy Then within the allowed configuration set The system calculates the receiving performance of the node to obtain the node-level reachability result. Here... Installation logs or layout lists from temperature monitoring nodes are typically formatted as “node number - Bay position”. The calculations are derived from structural rules. For example, the same level and the same Bay are denoted as lower level, while crossing partitions or levels are denoted as higher level. The level itself is a discrete dimensionless quantity used to represent the structural occlusion complexity. The set of "antenna can be configured with orientation and power levels" from step one can actually be selected directly from the gateway configuration file or the operation and maintenance settings interface.

[0024] Signal strength reference value Logs are generated by the gateway. During deployment and debugging, install the gateway in the location determined in step one, and fix the external antenna to the corresponding position. Region, in each configuration combination The temperature monitoring nodes are instructed to send data packets at a common broadcast interval. The gateway records the reception log for each node, with log fields including at least the node identifier, reception intensity scale value, timestamp, and whether the data packet was successfully parsed. For the same node on the same... Multiple records were compiled using statistically representative values ​​that are insensitive to outliers. For example, multiple records can be sorted by size and the median value can be used as the representative value; at the same time, the "percentage of successfully parsed records" can be used as a filtering condition, and only records that reach an acceptable level for the project can be considered valid. This is how it was obtained. With subsequent thresholds Using the same standard system facilitates direct comparison; Since it is a dimensionless order, therefore... When linearly mapping to the same scale, coefficients are used. This makes the penalty item and Numerical values ​​are additive and subtractable, maintaining consistent numerical semantics throughout the calculation. This modeling approach originates from the classic link budget concept: received strength can be written as the sum of transmit-related terms and path loss terms, where the path loss term consists of free-space attenuation and blockage attenuation. In the scenario of a metal structure energy storage cabinet, the free-space term is insufficient to explain the differences, and blockage attenuation is dominated by the structural channel; therefore, structural complexity is expressed using... This is expressed as a linear penalty, and its impact on the received signal strength is abstracted into a linear penalty. Building on this, and leveraging the engineering principle of "selecting the best within the set of feasible configurations," different... The maximum value of the following performance is taken to obtain the best reachability score for the node in the feasible configuration, calculated as follows: ; in, Represents a node In configuration Accessibility score below; This represents the node reception strength value obtained from the gateway's reception log statistics. Hierarchical structure of relationships; The coefficients used to map structural grades to the receiving strength scale. Based on At the actual radiation starting point Corresponding set of implementable configurations The optimal reachability score for this node is obtained by taking the maximum value within the range. ; in, Represents a node Best reachability score within the set of feasible configurations Indicates the true origin of radiation The corresponding set of implementable configurations comes directly from the output of step one. constraint.

[0025] In obtaining Then, it is converted into a node-level reachability determination. This determination method originates from the threshold decision commonly used in engineering communications: a node that "reaches the minimum usable reception condition" is considered reachable. (Threshold) The acquisition of these parameters is closely tied to the scenario and can be provided by debugging records: Select several representative nodes with stable long-term online performance as a benchmark set, and calculate their corresponding... Take the more conservative representative level as This ensures that the judgment result aligns with the goal of "stable uploading of temperature data." The judgment formula is as follows: ; in, For nodes The reachability determination value; This is a reference threshold for available reception conditions; As an indicator operator, it outputs 1 if the condition is met, and 0 otherwise. Because and From the same receiver intensity scale system, and The impact has been achieved through Mapped to the same scale and reflected in Therefore, the comparison remains consistent in numerical semantics.

[0026] A set of calculation examples based on proportional values ​​and configuration parameters are given to illustrate the calculation process. Let the actual radiation starting point of a certain gateway be... Configurable sets Includes three configurations : , , A temperature monitoring node The structural passage located across the partition and floor is obtained based on the Bay position relationship. The debug log statistics show that the representative values ​​of the received signal strength of this node under the three configuration groups are as follows: , , ; set by the difference of the control node The structural correction scores for the three configurations are as follows: , , Take the maximum value If the reference threshold given by the benchmark set is Then there is Established, obtained The node is determined to be reachable; if another node Higher structural level And its best corrected score is Then with the same Comparison The node was determined to be unreachable.

[0027] S3; Based on the importance level, signal reachability, and reference received strength threshold of each temperature monitoring node, generate the communication reliability target and configuration compensation priority for each temperature monitoring node; Specifically, step three is based on the node-level results output in step two. and This step further transforms "accessibility within the structural and configuration boundaries" into "communication reliability requirements for each node in the temperature monitoring network." This allows for direct configuration based on these requirements when selecting gateway bay locations, antenna orientation levels, and power levels. A key engineering characteristic of energy storage cabinet temperature monitoring is the significant difference in node importance: monitoring points near heat-sensitive modules, in energy-dense areas, or with higher regulatory requirements need greater communication margins; ordinary monitoring points primarily focus on ensuring stable data transmission. This step addresses this difference through node importance levels. It is reflected, Data derived from engineering classification is typically provided in project design lists or station control configuration tables, for example, directly read from the "Measurement Point—Module—Importance" table and fixed as discrete levels. This is due to the data obtained in step two. With threshold All use the same receiver intensity scale system. By using dimensionless grades and mapping the coefficients to the same scale, it can be compared with... Perform a comparison on the same scale to ensure that the subsequent calculation results are directly compatible with the output of step two.

[0028] The modeling of reliability requirements originates from the classic engineering communication design concept of "threshold + margin": in link budgeting and engineering acceptance, a minimum availability threshold is often used as a baseline, and a margin is added on top to cover environmental fluctuations and structural uncertainties; at the same time, in systems with multiple service nodes, weights are often used to raise the target threshold of critical nodes in exchange for higher online stability. This step, based on the above ideas, uses the reference threshold from step two... As a baseline, the importance level Through coefficients This is converted into an additional amount for the target threshold, and the accessibility determination in step two is then applied. As a discrete indicator of the degree of structural constraint: when a node is determined to be unreachable, it is indicated by a coefficient. This raises the target threshold further to drive the next step of prioritizing compensation for these types of nodes during configuration selection. This yields the communication reliability target for each node. : ; in, For nodes The communication reliability target; The reference threshold formed in step two is derived from statistical values ​​from the debugging benchmark set; The importance level of the node is derived from the project classification table or configuration table; To map importance levels to coefficients for additional target amounts, project strategies can be set, for example, by evenly distributing the difference in target allocation required for critical nodes relative to general nodes across the importance levels. ; The reachability determination value output from step two; This is the structural constraint compensation coefficient, reflecting the engineering strategy of "structurally constrained nodes requiring stronger configuration tilt". Both sides of the equation maintain numerical semantic consistency: and , Being in the same receiver strength scale system, and This is an additional threshold increase based on the same benchmark, so it can be directly used in the next step with... Comparison and constraint judgment.

[0029] In obtaining Next, this step quantifies the "gap between current achievable capabilities and the target" into a priority for configuring compensation. Its origin can be seen as the idea of ​​slack variables in classical constrained optimization: when the objective constraint is written as At that time, the difference This directly represents the constraint gap; the larger the gap, the higher the priority for compensation. To facilitate subsequent sorting and allocation, the priority is defined as the non-negative part of the gap, allowing it to be used as the "intensity of compensation required." ; in, For nodes Configuration compensation priority; The reliability target calculated in this step; The reachability score is output from step two; To obtain a larger value, an operator is used to reset the priority of nodes whose objectives have been met to zero, thereby concentrating resources on nodes with gaps. The logical relationship between this equation and the previous equation is: first from... , and Calculation target Then Current Status Rating Comparison forms a gap , This will serve as direct input for determining "which nodes to prioritize and how much compensation is needed" in the next step.

[0030] A set of debug log-driven calculation examples is given, illustrating the substitutions and results. Let the reference threshold given by the project's debug benchmark set be... Importance levels are divided into three categories and mapped as follows: Project strategy setting Structurally constrained compensation coefficient setting For a certain key measuring point Read from the engineering grading table Step 2 output , Substituting into the equation yields... , then For a general measuring point Read Step 2 output , Substituting into the equation yields... , then For a certain cross-floor measuring point of a diaphragm Read Step 2 output , Substituting into the equation yields... , then The above. , It can be directly traced from the debugging logs: the log table contains node identifiers, and each The received strength representative value and reachability determination are used as the basis for step two to form and This step uses the same benchmark system to calculate objectives and priorities, ensuring... The sorting can directly guide the next step of prioritizing. and Tilting the steering wheel to a more advantageous orientation and power setting allows you to get closer to your target. This step outputs two types of results: a set of node-level communication reliability targets. Compensation priority set with node level configuration . Used to specify the target thresholds that each node needs to achieve during deployment and configuration. Used to determine the allocation order and intensity of compensation resources under constraints of a limited number of gateways and discrete configuration levels.

[0031] S4: Based on the communication reliability target and configuration compensation priority, select the configuration combination with the smallest weighted gap among the feasible antenna orientation level and transmission power level, and complete the installation of the Bluetooth gateway in the corresponding Bay position, the fixing of the external antenna under the metal protective cover, and the setting of antenna orientation and transmission power. Specifically, step four uses the node-level communication reliability target set output in step three. Compensation priority set with node level configuration For direct constraint, the actual radiation source location given in step one is considered. and its implementable configuration set This step completes the actual deployment and signal optimization configuration of the Bluetooth temperature monitoring network within the energy storage cabinet. It translates the prioritization of "goals to be achieved" and "which to compensate first" into actionable installation and parameter setting steps: The Bluetooth gateway is positioned in the bay and fixed in place; the external antenna is fixed to the area below the metal protective cover according to the actual radiation starting point determined in step one; and the selected antenna orientation setting is written on the gateway side. With transmit power level Since both the gateway and antenna configurations are discrete levels, and For a finite set, this step adopts an enumeration-based configuration selection process, selecting the configuration combination that minimizes the "weighted gap" from all feasible configurations, thereby prioritizing the reliability objectives of high-priority nodes while taking into account overall coverage and power overhead.

[0032] The formula for configuration selection comes from the "weighted penalty function / weighted constraint violation minimization" method in classical optimization theory: when there is a set of constraints And variables When selecting a discrete candidate set, the candidate solution with the smallest total violation can be chosen as the approximate optimal solution by applying weights to the violation amount of each constraint and summing the results. Combining the results of the previous steps, the compensation priority from step three is directly adopted for the weights. The constraint threshold adopts the reliability target. The left side of the constraint uses the scores from step two, which can be directly queried or substituted under different configurations. This leads to the conclusion that at the true radiation origin... Configuration selection criteria within the corresponding set of implementable configurations: ; in, This indicates the final selected antenna orientation and power level; This indicates that the radiation origin given in step one... The set of configurations that are allowed to be implemented; and These are the node targets and priorities output from step three, respectively. The node reachability score obtained in step two is configured in... The values ​​can be directly obtained from the debug log table or the configuration-node scoring table; This represents the target gap for this node under this configuration. Both sides of the equation maintain consistent numerical semantics: the summation term is the "gap" multiplied by a weighted amount of "priority," and the resulting objective function value is used to compare values ​​in the discrete set and select the minimum. They still belong to the same set of discrete configurations. Because... and They are all within the same receiver intensity scale system. The difference is the value under the same scale. Since the weights are non-negative and dimensionless, it is reasonable to use the weighted sum for sorting and comparison.

[0033] In engineering implementation, the calculation of the above formula can be directly performed through the process of "enumeration - substitution - summation - minimum value". First, a specific Bluetooth gateway is selected as the current configuration object, and the actual radiation starting point corresponding to the gateway is determined. From step one, obtain the set of feasible configurations corresponding to the radiation starting point. For example, obtaining several discrete combinations , , Then, read the configuration-node scoring table generated in step two, and for each node under each configuration... And read from the output table of step three and In the gateway The enumeration calculation is completed within the specified range, and the final configuration of the gateway is written. For each candidate configuration... Calculate the gap term node by node Then with weight Multiply and sum to obtain the total weighted gap for this configuration; repeat this process for all candidate configurations, selecting the one with the smallest total weighted gap as the candidate configuration. Finally, Write the gateway configuration and complete the on-site installation: fix the gateway in its designated bay location, and fix the external antenna to the designated bay location. The antenna orientation is adjusted to the position below the corresponding metal protective cover. Gear, gateway transmit power set to Gear selection. This process is also applicable to multi-gateway scenarios, allowing for a separate enumeration selection for each gateway, enabling multiple gateways to form complementary spatial coverage; the node set and its... By keeping it unchanged, a consistent system of reliability constraints can be achieved.

[0034] A set of calculation examples are given to illustrate the substitution process and results. Suppose a certain gateway... Includes three configurations , , Step 3 outputs the goals and priorities of two types of nodes: critical nodes. of Secondary nodes of Step two's scoring table provides node scores for three configuration sets: Down , ;exist Down , ;exist Down , Substitute each value into the formula to calculate the total weighted gap: The gaps are respectively and The weighted sum is ;right The gap is and The weighted sum is ;right The gap is and The weighted sum is Therefore, the configuration with the smallest weighted gap is selected. As The selected result was then set to the corresponding level through the gateway parameter configuration interface, and the antenna orientation was adjusted on-site. Power settings Deployment complete. For other nodes within the same cabinet, the same configuration-scoring table can be used for calculation. If necessary, the same enumeration selection can be performed on multiple gateways to ensure that critical node gaps are preferentially covered by multiple radiation points or by the most suitable radiation point.

[0035] In one or more embodiments, such as Figure 2 As shown, a Bluetooth temperature monitoring network signal optimization transmission system for energy storage cabinets is disclosed, the system comprising: The realistic radiation source modeling module is used to install a Bluetooth gateway in the Bay position of the energy storage cabinet. Through full-wave electromagnetic simulation or actual measurement, it obtains the three-dimensional radiation pattern of the external antenna in a local environment including a metal protective cover and adjacent metal structures. Based on the three-dimensional radiation pattern, it determines the direction vector corresponding to the direction of maximum radiation intensity and calculates the intersection point of this direction vector extending from the antenna phase center to the inner surface of the metal protective cover. This intersection point is defined as the effective radiation starting point. Based on the spatial coordinate relationship between the installation position of the Bluetooth gateway and the effective radiation starting point, a realistic signal radiation source model is established. The node reachability analysis module is used to calculate the signal reachability of each temperature monitoring node under the feasible antenna orientation and transmission power levels, based on the real signal radiation source model, combined with the Bay position structure information of the energy storage cabinet and the installation position of each temperature monitoring node. The reliability target generation module is used to generate communication reliability targets and configure compensation priorities for each temperature monitoring node based on the importance level, signal reachability, and reference received strength threshold of each temperature monitoring node. The deployment configuration decision module is used to select the configuration combination with the smallest weighted gap from the feasible antenna orientation and transmission power levels based on the communication reliability target and configuration compensation priority, and to complete the installation of the Bluetooth gateway in the corresponding Bay position, the fixing of the external antenna under the metal protective cover, and the setting of antenna orientation and transmission power.

[0036] It is worth noting that the specific workflow of the energy storage cabinet Bluetooth temperature monitoring network signal optimization transmission system provided in this embodiment of the invention is the same as that of the energy storage cabinet Bluetooth temperature monitoring network signal optimization transmission method described in the above embodiment, and will not be repeated here.

[0037] This invention also provides a Bluetooth temperature monitoring network signal optimization transmission device for an energy storage cabinet, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the steps described in the above embodiment of the Bluetooth temperature monitoring network signal optimization transmission method for an energy storage cabinet. Figure 1 The steps S1 to S4 described above; or, when the processor executes the computer program, it implements the functions of each module in the above system embodiments.

[0038] For example, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the energy storage cabinet Bluetooth temperature monitoring network signal optimization transmission device.

[0039] The aforementioned Bluetooth temperature monitoring network signal optimization and transmission device for energy storage cabinets can be a desktop computer, laptop, handheld computer, or cloud server, among other computing devices. This device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the device may also include input / output devices, network access devices, and a bus.

[0040] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the energy storage cabinet Bluetooth temperature monitoring network signal optimization transmission device, connecting various parts of the device via various interfaces and lines.

[0041] The memory can be used to store the computer program and / or modules. The processor, by running or executing the computer program and / or modules stored in the memory, and by calling the data stored in the memory, realizes various functions of the energy storage cabinet Bluetooth temperature monitoring network signal optimization transmission device. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc.; the data storage area may store data created based on the operation of the air conditioner controller, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD card), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0042] The module integrated into the energy storage cabinet Bluetooth temperature monitoring network signal optimization transmission device, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0043] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0044] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet, characterized in that, The method includes: A Bluetooth gateway is installed in the Bay position of the energy storage cabinet. The Bluetooth gateway is connected to an external antenna, which is fixed under the metal protective cover. The three-dimensional radiation pattern of the external antenna in a local environment including a metal protective cover and adjacent metal structures is obtained by full-wave electromagnetic simulation or actual measurement. Based on the three-dimensional radiation pattern, determine the direction vector corresponding to the direction of maximum radiation intensity, and calculate the intersection point of the direction vector extending from the antenna phase center to the inner surface of the metal protective cover. Define this intersection point as the effective radiation starting point. Based on the spatial coordinate relationship between the installation location of the Bluetooth gateway and the effective radiation starting point, a real signal radiation source model is established; Based on the real signal radiation source model, combined with the Bay position structure information of the energy storage cabinet and the installation position of each temperature monitoring node, the signal reachability of each temperature monitoring node under the feasible antenna orientation and transmission power levels is calculated. Based on the importance level, signal reachability, and reference received strength threshold of each temperature monitoring node, the communication reliability target and configuration compensation priority of each temperature monitoring node are generated. Based on the communication reliability target and configuration compensation priority, select the configuration combination with the smallest weighted gap among the feasible antenna orientation and transmission power levels, and complete the installation of the Bluetooth gateway in the corresponding Bay position, the fixing of the external antenna under the metal protective cover, and the setting of antenna orientation and transmission power.

2. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, In the step of obtaining the three-dimensional radiation pattern through full-wave electromagnetic simulation or actual measurement, electromagnetic field simulation software is used to simulate the radiation characteristics of the external antenna under actual installation conditions, or the actual radiation pattern of the external antenna is measured in an anechoic chamber environment.

3. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, The Bay position structural information includes the internal partition layout, layer height distribution, and location of metal obstructions within the Bay position, used to determine whether the line-of-sight propagation path between the temperature monitoring node and the effective radiation starting point is obstructed.

4. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, The signal reachability is determined by comparing the representative value of the received strength recorded during the debugging phase with the reference received strength threshold. When the representative value of the received strength is not lower than the reference received strength threshold, the signal of the temperature monitoring node is determined to be reachable.

5. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, The importance level of the temperature monitoring node is pre-set by the engineering safety specifications and is divided into three discrete levels: high, medium, and low. The high importance level corresponds to a higher communication reliability target.

6. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, When a temperature monitoring node is determined to be unreachable, its communication reliability target is increased by a structural constraint compensation amount to improve the configuration compensation priority of that node.

7. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, The configuration compensation priority is equal to the non-negative part of the difference between the communication reliability target and the signal reachability score, where the signal reachability score is 0 or 1.

8. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, The implementable antenna orientation and transmit power levels are preset finite discrete sets, which are jointly limited by the step angle range of the external antenna mechanical rotation mechanism and the power level supported by the Bluetooth chip.

9. The method for optimizing the transmission of Bluetooth temperature monitoring network signals in an energy storage cabinet according to claim 1, characterized in that, The fixed position of the external antenna under the metal protective cover is defined by a normalized coordinate range. Based on the geometric reference point of the corresponding Bay position, the proportional position along the width direction of the Bay position is located in the horizontal center region of the Bay position, and the proportional position along the height direction of the Bay position is located in the top region of the Bay position.

10. A Bluetooth temperature monitoring network signal optimization transmission system for an energy storage cabinet, characterized in that, The system includes: The realistic radiation source modeling module is used to install a Bluetooth gateway in the Bay position of the energy storage cabinet. Through full-wave electromagnetic simulation or actual measurement, it obtains the three-dimensional radiation pattern of the external antenna in a local environment including a metal protective cover and adjacent metal structures. Based on the three-dimensional radiation pattern, it determines the direction vector corresponding to the direction of maximum radiation intensity and calculates the intersection point of this direction vector extending from the antenna phase center to the inner surface of the metal protective cover. This intersection point is defined as the effective radiation starting point. Based on the spatial coordinate relationship between the installation position of the Bluetooth gateway and the effective radiation starting point, a realistic signal radiation source model is established. The node reachability analysis module is used to calculate the signal reachability of each temperature monitoring node under the feasible antenna orientation and transmission power levels, based on the real signal radiation source model, combined with the Bay position structure information of the energy storage cabinet and the installation position of each temperature monitoring node. The reliability target generation module is used to generate communication reliability targets and configure compensation priorities for each temperature monitoring node based on the importance level, signal reachability, and reference received strength threshold of each temperature monitoring node. The deployment configuration decision module is used to select the configuration combination with the smallest weighted gap from the feasible antenna orientation and transmission power levels based on the communication reliability target and configuration compensation priority, and to complete the installation of the Bluetooth gateway in the corresponding Bay position, the fixing of the external antenna under the metal protective cover, and the setting of antenna orientation and transmission power.

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