A method for coupling a sensor with port infrastructure and construction

Abstract

The present invention discloses a method for coupling a sensor with port infrastructure and its construction, which relates to the field of coupling technology. In the present invention, the first and second comprehensive scores of the selected sensor at the currently preselected installation position are calculated. The design of the first comprehensive score integrates the data error value, the time stability index, and the spatial consistency index, providing a comprehensive evaluation of the basic performance of the sensor. On this basis, the intervention of the second comprehensive score can more comprehensively evaluate the overall performance of the sensor, thereby further effectively helping to screen out the most suitable installation position, and then through the threshold determination and refined sorting and screening process, to scientifically and effectively screen out the final preferred installation position. This enables the performance of the sensor to be maximally reflected at this final preferred installation position, thereby effectively reducing the impact on the accuracy of the monitoring data, and at the same time effectively reducing the impact on the reliability of the subsequent coupling and construction of the sensor.

Description

Technical Field

[0001] The present invention relates to the field of coupling technology, and particularly to a coupling and construction method between a sensor and port infrastructure. Background Art

[0002] In modern port management and operation, in order to improve efficiency, safety, and response speed, more and more ports are starting to adopt intelligent sensing technology. Traditional sensor coupling and construction generally follow the following steps: First, conduct a detailed assessment of the specific needs of the port, including which parameters need to be monitored such as temperature, humidity, cargo location, equipment status, etc., and the requirements for data transmission and storage. Subsequently, select the corresponding sensor type according to the results of the demand analysis, including the technical specifications of the sensor. Then, based on the selected sensor, determine the most suitable installation location within the port for the sensor. After confirmation, perform coupling construction on the sensor, that is, connect the sensor to the central control system in a physical connection manner to complete the coupling. The specific coupling construction process is to connect the sensor node to the central control system through a cable, which involves complex wiring engineering, interface connection debugging, etc. steps, and sometimes even requires modification of existing buildings or facilities to complete the installation;

[0003] Although the existing construction methods can achieve a certain degree of coupling between the sensor and port infrastructure, there are still some significant problems and challenges:

[0004] In the existing methods, the selection of the sensor installation location often relies on the experience and intuitive judgment of engineers, lacking systematic, data-based site selection analysis. This results in the selected installation location often being unable to maximize the performance of the sensor, which not only easily affects the accuracy of the monitoring data but also easily affects the reliability of subsequent sensor coupling and construction;

[0005] Therefore, there is an urgent need for a technical solution for a coupling and construction method between a sensor and port infrastructure in the prior art. Summary of the Invention

[0006] To solve the above technical problems, the present invention provides a coupling and construction method between a sensor and port infrastructure, specifically including the following steps:

[0007] Step S1: Analyze the monitoring requirements of the port, determine the key parameters to be monitored based on the analysis results, and select a sensor according to the key parameters to be monitored;

[0008] Step S2: Perform site selection analysis on the installation location of the sensor based on the selected sensor to obtain the final preferred installation location of the sensor;

[0009] Step S2a: Select a preselected installation location for the sensor;

[0010] Step S2b: Calculate the first comprehensive score of the selected sensor at the current preselected installation position;

[0011] Step S2b1: Obtain the data error value of the selected sensor at the current preselected installation position;

[0012] Step S2b11: Obtain the data collected by the selected sensor at the current preselected installation position;

[0013] Step S2b12: Deploy multiple selected sensors at the same preselected installation position, collect multiple sets of data, and take the average of the multiple sets of data as the reference data;

[0014] Step S2b13: Calculate the difference between the data collected by the selected sensor at the current preselected installation position and the reference data to obtain the data error value of the selected sensor at the current preselected installation position;

[0015] Step S2b2: Obtain the time stability index of the selected sensor at the current preselected installation position;

[0016] Step S2b21: Obtain the data collected by the selected sensor continuously for t time at the current preselected installation position to form a time series data set;

[0017] Step S2b22: Calculate the mean value of all the data in the time series data set and obtain the standard deviation of all the data in the time series data set through the mean value;

[0018] Step S2b23: Calculate and obtain the time stability index of the selected sensor at the current preselected installation position based on the standard deviation and mean value of all the data in the time series data set;

[0019] Among them, the calculation formula for obtaining the time stability index of the selected sensor at the current preselected installation position is:

[0020] ;

[0021] In the formula, represents the time stability index of the selected sensor at the current preselected installation position; represents the standard deviation of all the data in the time series data set; represents the mean value of all the data in the time series data set;

[0022] Step S2b3: Obtain the spatial consistency index of the selected sensor at the current preselected installation position;

[0023] Step S2b31: Count the number of other selected sensors except the selected sensor at the current preselected installation position;

[0024] Step S2b32: Obtain the maximum value of the data collected by other selected sensors except the selected sensor at the current preselected installation position;

[0025] Step S2b33: Calculate the mean absolute error value between the data collected by the selected sensor at the current preselected installation position and the data collected by each of the other selected sensors at the current preselected installation position;

[0026] Step S2b34: Calculate the spatial consistency index of the selected sensor at the current preselected installation position based on the maximum value of the data collected by the other selected sensors at the current preselected installation position and the mean absolute error value;

[0027] Among them, the calculation formula for obtaining the spatial consistency index of the selected sensor at the current preselected installation position is:

[0028] ;

[0029] In the formula, represents the spatial consistency index of the selected sensor at the current preselected installation position; represents the number of other selected sensors except the selected sensor; represents the data collected by the selected sensor at the current preselected installation position; represents the j-th other selected sensor; represents the maximum value of the data collected by the selected sensor at the current preselected installation position, and the maximum value of the data collected by the other selected sensors except the selected sensor at the current preselected installation position;

[0030] Step S2b4: Calculate the first comprehensive score of the selected sensor at the current preselected installation position based on the data error value, time stability index, and spatial consistency index of the selected sensor at the current preselected installation position;

[0031] Among them, the calculation formula for obtaining the first comprehensive score of the selected sensor at the current preselected installation position is:

[0032] ;

[0033] In the formula, represents the first comprehensive score of the selected sensor at the current preselected installation position; represents the non-linear conversion function used to map the data error value of the selected sensor at the current preselected installation position to the interval; represents the non-linear conversion function used to map the time stability index of the selected sensor at the current preselected installation position to the interval; Represents a non - linear transfer function for mapping the spatial consistency index of the selected sensor at the current pre - selected installation position to the interval; and and represent the weight coefficients of the data error value, time stability index, and spatial consistency index respectively;

[0034] Step S2c: Calculate the second comprehensive score of the selected sensor at the current pre - selected installation position;

[0035] Step S2c1: Obtain the data update frequency factor of the selected sensor at the current pre - selected installation position;

[0036] Step S2c11: Call the time - series data set formed in step S2b21 and set the observation period;

[0037] Step S2c12: Based on the time - series data set, count the total number of data updates within the observation period;

[0038] Step S2c13: Calculate the data update frequency factor of the selected sensor at the current pre - selected installation position according to the ratio of the total number of data updates within the observation period to the observation period;

[0039] Step S2c2: Obtain the anomaly detection factor of the selected sensor at the current pre - selected installation position;

[0040] Step S2c21: Count the number of outliers in the time - series data set;

[0041] Step S2c22: Calculate the anomaly detection factor of the selected sensor at the current pre - selected installation position according to the number of outliers in the time - series data set and the observation period;

[0042] Among them, the calculation formula for obtaining the anomaly detection factor of the selected sensor at the current pre - selected installation position is:

[0043] ;

[0044] In the formula, represents the anomaly detection factor of the selected sensor at the current pre - selected installation position; represents the number of outliers in the time - series data set; represents the observation period;

[0045] Step S2c3: Calculate the second comprehensive score of the selected sensor at the current pre - selected installation position according to the first comprehensive score, data update frequency factor, and anomaly detection factor of the selected sensor at the current pre - selected installation position;

[0046] Among them, the calculation formula for obtaining the second comprehensive score of the selected sensor at the current preselected installation position is:

[0047] ;

[0048] In the formula, represents the second comprehensive score of the selected sensor at the current preselected installation position; represents the first comprehensive score of the selected sensor at the current preselected installation position; represents the data update frequency factor of the selected sensor at the current preselected installation position; represents the anomaly detection factor of the selected sensor at the current preselected installation position; represents the weight factor; 、 respectively represent the weight coefficients of the data update frequency factor and the anomaly detection factor;

[0049] Step S2d: Set a first threshold for the first comprehensive score and a second threshold for the second comprehensive score. If and only if the first comprehensive score of the current preselected installation position is greater than or equal to the first threshold, and the second comprehensive score of the current preselected installation position is greater than or equal to the second threshold, then confirm the current preselected installation position as the preferred installation position;

[0050] Step S2e: Count the number of obtained preferred installation positions and further screen to obtain the final preferred installation position;

[0051] Step S2e1: Sort the second comprehensive scores of all preferred installation positions from high to low;

[0052] Step S2e2: Based on the sorting result, select the preferred installation position with the highest second comprehensive score as the final preferred installation position;

[0053] Step S3: Perform the installation operation on the sensor based on the final preferred installation position of the sensor.

[0054] The embodiments of the present invention have the following technical effects:

[0055] In order to avoid the existing method of selecting the installation position of sensors relying on engineers' experience and intuitive judgment, a series of data-driven analysis methods are performed on the selected sensors to improve the scientific, accurate, and reliable site selection. Specifically, the first and second comprehensive scores of the selected sensors at the currently preselected installation positions are calculated. The design of the first comprehensive score integrates the data error value, time stability index, and spatial consistency index, providing a comprehensive evaluation of the basic performance of the sensors. This multi-dimensional scoring system can more accurately reflect the performance of the sensors at specific positions, helping to screen out the most suitable installation positions. On this basis, the second comprehensive score not only combines the first comprehensive score but also further considers the data update frequency factor and anomaly detection factor. The addition of these two indicators makes the scoring system more perfect and can more comprehensively evaluate the overall performance of the sensors, thereby further effectively helping to screen out the most suitable installation positions. Finally, by combining the threshold determination and the refined sorting and screening process, the final priority installation positions are scientifically and effectively screened out, enabling the performance of the sensors to be maximally reflected at these final priority installation positions, thus effectively reducing the impact on the accuracy of the monitoring data and at the same time reducing the impact on the coupling and construction reliability of subsequent sensors. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0057] Figure 1 It is a flowchart of a method for coupling and construction of sensors and port infrastructure provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0059] Embodiment 1: As Figure 1 shown, the present invention provides a method for coupling and construction of sensors and port infrastructure, including the following steps:

[0060] Step S1: Analyze the monitoring requirements of the port, determine the key parameters to be monitored based on the analysis results, and select sensors according to the key parameters to be monitored.

[0061] Step S2: Based on the selected sensors, perform a site selection analysis on the installation locations of the sensors to obtain the final preferred installation locations of the sensors.

[0062] Step S2a: Select the preliminary installation locations of the sensors.

[0063] Step S2b: Calculate the first comprehensive score of the selected sensors at the current preliminary installation locations.

[0064] Step S2b1: Obtain the data error values of the selected sensors at the current preliminary installation locations.

[0065] Step S2b11: Obtain the data collected by the selected sensors at the current preliminary installation locations.

[0066] Step S2b12: Deploy multiple selected sensors at the same preliminary installation location, collect multiple sets of data, and take the average of the multiple sets of data as the reference data.

[0067] Step S2b13: Calculate the difference between the data collected by the selected sensors at the current preliminary installation locations and the reference data to obtain the data error values of the selected sensors at the current preliminary installation locations.

[0068] It should be noted that by introducing the average of multiple sets of sensor data as the reference data, the data error of a single sensor is accurately evaluated, improving the accuracy of error evaluation. This method ensures that the basic performance of each sensor can be objectively evaluated, thus effectively assisting in selecting the optimal installation location.

[0069] Step S2b2: Obtain the time stability index of the selected sensors at the current preliminary installation locations.

[0070] Step S2b21: Obtain the data collected by the selected sensors continuously for t time at the current preliminary installation locations to form a time series data set.

[0071] Step S2b22: Calculate the mean of all the data in the time series data set and obtain the standard deviation of all the data in the time series data set through the mean.

[0072] Step S2b23: Calculate the time stability index of the selected sensors at the current preliminary installation locations based on the standard deviation and mean of all the data in the time series data set.

[0073] Among them, the calculation formula for obtaining the time stability index of the selected sensors at the current preliminary installation locations is:

[0074] ;

[0075] Wherein, represents the time stability index of the selected sensor at the current preselected installation position; represents the standard deviation of all data in the time series dataset; represents the mean value of all data in the time series dataset.

[0076] It should be noted that in terms of time stability assessment, the mean value and standard deviation are combined to comprehensively evaluate the time stability of the sensor to ensure its long-term stable operation. This comprehensive evaluation method can more truly reflect the performance of the sensor in different time periods, enhancing the reliability of the evaluation results, and thus providing an effective data basis for the selection of the optimal installation position as well.

[0077] Step S2b3: Obtain the spatial consistency index of the selected sensor at the current preselected installation position.

[0078] Step S2b31: Count the number of other selected sensors except the selected sensor at the current preselected installation position.

[0079] Step S2b32: Obtain the maximum value of the data collected by other selected sensors except the selected sensor at the current preselected installation position.

[0080] Step S2b33: Calculate the mean absolute error value between the data collected by the selected sensor at the current preselected installation position and the data collected by each other selected sensor at the current preselected installation position.

[0081] Step S2b34: Calculate the spatial consistency index of the selected sensor at the current preselected installation position according to the maximum value and the mean absolute error value of the data collected by other selected sensors at the current preselected installation position.

[0082] Among them, the calculation formula for obtaining the spatial consistency index of the selected sensor at the current preselected installation position is:

[0083] ;

[0084] Wherein, represents the spatial consistency index of the selected sensor at the current preselected installation position; represents the number of other selected sensors except the selected sensor; represents the data collected by the selected sensor at the current preselected installation position; represents the jth other selected sensor; represents the maximum value of the data collected by the selected sensor at the current preselected installation position, as well as the maximum value of the data collected by other selected sensors except the selected sensor at the current preselected installation position;

[0085] It should be noted that for the spatial consistency evaluation, the present invention calculates the mean absolute error value between the selected sensor and other selected sensors, and performs normalization processing according to the maximum value to ensure the consistency of the data of multiple sensors in the same area. This step helps to identify potential installation problems, ensures that each sensor performs consistently in its environment, and also provides an effective data basis for the selection of the optimal installation position.

[0086] Step S2b4: Calculate the first comprehensive score of the selected sensor at the current preselected installation position according to the data error value, time stability index, and spatial consistency index of the selected sensor at the current preselected installation position.

[0087] Among them, the calculation formula for obtaining the first comprehensive score of the selected sensor at the current preselected installation position is:

[0088] ;

[0089] In the formula, represents the first comprehensive score of the selected sensor at the current preselected installation position; represents a non-linear conversion function used to map the data error value of the selected sensor at the current preselected installation position to the interval; represents a non-linear conversion function used to map the time stability index of the selected sensor at the current preselected installation position to the interval; represents a non-linear conversion function used to map the spatial consistency index of the selected sensor at the current preselected installation position to the interval; , , respectively represent the weight coefficients of the data error value, time stability index, and spatial consistency index;

[0090] It should be noted that the design of the first comprehensive score integrates the data error value, time stability index, and spatial consistency index, providing a comprehensive evaluation of the sensor performance. This multi-dimensional scoring system can more accurately reflect the performance of the sensor at the current preselected installation position and help screen out the most suitable installation position.

[0091] Step S2c: Calculate the second comprehensive score of the selected sensor at the current preselected installation position;

[0092] Step S2c1: Obtain the data update frequency factor of the selected sensor at the current preselected installation position;

[0093] Step S2c11: Invoke the time series data set formed in Step S2b21 and set the observation period;

[0094] Step S2c12: Based on the time series data set, count the total number of data updates within the observation period;

[0095] Step S2c13: Calculate the data update frequency factor of the selected sensor at the current preselected installation position according to the ratio of the total number of data updates within the observation period to the observation period;

[0096] Step S2c2: Obtain the anomaly detection factor of the selected sensor at the current preselected installation position;

[0097] Step S2c21: Count the number of outliers in the time series data set;

[0098] Step S2c22: Calculate the anomaly detection factor of the selected sensor at the current preselected installation position according to the number of outliers in the time series data set and the observation period;

[0099] Among them, the calculation formula for obtaining the anomaly detection factor of the selected sensor at the current preselected installation position is:

[0100] ;

[0101] In the formula, represents the anomaly detection factor of the selected sensor at the current preselected installation position; represents the number of outliers in the time series data set; represents the observation period;

[0102] It should be noted that the data update frequency factor ensures that the sensor can provide the latest data in a timely manner, while the anomaly detection factor evaluates the reliability of the sensor in abnormal situations. The addition of these two indicators makes the design of the second comprehensive score more perfect and can more comprehensively evaluate the overall performance of the sensor at the current preselected installation position, including the basic performance and operating performance of the sensor at the current preselected installation position.

[0103] Step S2c3: Calculate the second comprehensive score of the selected sensor at the current preselected installation position according to the first comprehensive score, data update frequency factor, and anomaly detection factor of the selected sensor at the current preselected installation position;

[0104] Among them, the calculation formula for obtaining the second comprehensive score of the selected sensor at the current preselected installation position is:

[0105] ;

[0106] In the formula, represents the second comprehensive score of the selected sensor at the current preselected installation position; represents the first comprehensive score of the selected sensor at the current preselected installation position; represents the data update frequency factor of the selected sensor at the current preselected installation position; represents the anomaly detection factor of the selected sensor at the current preselected installation position; represents the weight factor; , respectively represent the weight coefficients of the data update frequency factor and the anomaly detection factor;

[0107] It should be noted that the first comprehensive score mainly focuses on the basic performance of the sensor at the current preselected installation position, such as data error, time stability, and spatial consistency, which are the core factors determining whether the sensor is suitable for a certain position. Data update frequency and anomaly detection are more supplementary evaluations of the sensor's operating performance and are suitable for consideration in the further optimization stage after the preliminary screening. Therefore, the present invention performs a phased scoring calculation, that is, the data update frequency factor and the anomaly detection factor are not directly added to the design of the first comprehensive score, but are considered and implemented in the calculation of the second comprehensive score. At the same time, by first determining whether the basic performance of the sensor meets the standard and then further evaluating its operating performance, the efficiency and pertinence of the evaluation process can be ensured, and the calculation process of the first comprehensive score can be appropriately simplified to reduce unnecessary calculation burdens, so as to achieve the purpose of improving efficiency.

[0108] Step S2d: Set a first threshold for the first comprehensive score and a second threshold for the second comprehensive score. If and only if the first comprehensive score of the current preselected installation position is greater than or equal to the first threshold and the second comprehensive score of the current preselected installation position is greater than or equal to the second threshold, then confirm that the current preselected installation position is the preferred installation position;

[0109] It should be noted that if the determination is made only by relying on the second comprehensive score in combination with the second threshold, some preselected installation positions with poor basic performance will be ignored. For example, a sensor may perform well in terms of data update frequency and anomaly detection, but has obvious defects in data error or time stability. Although such a sensor has good operating performance at the current preselected installation position, the accuracy and reliability of the monitoring data at the current preselected installation position cannot be guaranteed. Therefore, it is not suitable for long-term stable monitoring of port infrastructure. For this reason, it is necessary to combine the determination with the first comprehensive score and the first threshold. The first comprehensive score ensures that the basic performance of the sensor at the current preselected installation position is qualified, and the second comprehensive score further considers operating performance indicators such as data update frequency and anomaly detection on this basis. By performing threshold determination on the second comprehensive score, the position with the optimal operating performance can be selected on the premise of meeting the basic performance. Moreover, it should be further noted that this dual-threshold determination provides double guarantees, ensuring that the finally selected installation position not only has good basic performance but also can perform well in actual operation. This makes the entire evaluation process more rigorous and avoids selection biases that may be caused by a single standard.

[0110] Step S2e: Count the number of preselected installation positions obtained, and further screen to obtain the final preselected installation position;

[0111] Step S2e1: Sort the second comprehensive scores of all preselected installation positions from high to low;

[0112] Step S2e2: Based on the sorting result, select the preselected installation position with the highest second comprehensive score as the final preselected installation position;

[0113] It should be noted that since the second comprehensive score is the result of further optimized calculation on the basis of the first comprehensive score, it has a higher priority. Moreover, the second comprehensive score can also reflect the basic performance of the sensor at the current preselected installation position. Therefore, only by sorting the second comprehensive scores, the preselected installation position with the optimal operating performance can be selected as the final preselected installation position on the premise of meeting the basic performance. Similarly, specific cases should be analyzed specifically. If more attention is paid to the basic performance of the sensor at the current preselected installation position, then only need to sort the first comprehensive scores of all preselected installation positions from high to low to select the preselected installation position with the optimal basic performance as the final preselected installation position on the premise of meeting the operating performance. Moreover, it should be further noted that these are all results that can be achieved based on the dual-threshold determination.

[0114] Step S3: Perform the installation operation on the sensor based on the final preselected installation position of the sensor.

[0115] Based on the strict screening of the first and second comprehensive scores, it is ensured that the finally selected installation location has optimal basic performance and operating performance. At the same time, relevant parameters such as spatial consistency, time stability, and data error of the finally preferred installation location need to be checked again to ensure that they meet the expected standards, thereby reducing reliability problems caused by improper location. Subsequently, prepare the necessary installation tools to perform coupling construction on the sensor, such as screwdrivers, electric drills, cable cutters, as well as the required wiring materials such as cables, connectors, fixing clips, interface connection devices, etc. Then, use appropriate fixing devices such as brackets and screws to firmly install the sensor node at the selected location according to the determined finally preferred installation location. Subsequently, route the wires according to the pre-planned path, minimize the exposure and complexity of the wires, ensure that the laying of the cables meets the electrical safety standards, and take necessary protective measures such as pipe protection and waterproof treatment until it is connected to the central control system through the cable. After completing the physical installation, that is, the coupling construction, immediately conduct a preliminary test, that is, continuously monitor the working state of the sensor at the current finally preferred installation location and record its data transmission situation and performance to ensure that the sensor remains stable and reliable during actual operation.

[0116] It should be noted that the terms used in the present invention are only for describing specific embodiments and do not limit the scope of the present application. As shown in the specification of the present invention, unless the context clearly indicates an exception, words such as "a", "an", "one", and / or "the" are not specifically singular and may also include the plural. The term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method or device including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method or device including the said element.

[0117] It should also be noted that the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. Unless otherwise clearly specified and defined, terms such as "installed", "connected", "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention.

Claims

1. A sensor and port infrastructure coupling and construction method, characterized in that: The following steps are involved: Step S1, analyzing the monitoring requirements of the port, determining the key parameters to be monitored based on the analysis results, and selecting sensors based on the key parameters to be monitored; Step S2: performing site selection analysis on the installation location of the sensor according to the selected sensor to obtain the final priority installation location of the sensor; Step S2a, selecting a preselected installation position of the sensor; Step S2b, calculating a first comprehensive score of the selected sensor at the current preselected installation position; Step S2c, calculating a second comprehensive score of the selected sensor at the current preselected installation position, wherein the second comprehensive score is based on a weighted calculation of the first comprehensive score, a data update frequency factor, and an anomaly detection factor; Step S2d, setting a first threshold for the first comprehensive score, and setting a second threshold for the second comprehensive score, if and only if the first comprehensive score of the current pre-selected installation location is greater than or equal to the first threshold, and the second comprehensive score of the current pre-selected installation location is greater than or equal to the second threshold, then confirming the current pre-selected installation location as the priority installation location; Step S2e, counting the number of priority installation positions, and further screening the final priority installation positions; Step S3, performing installation work on the sensor based on the final priority installation position of the sensor; The step of calculating the first comprehensive score of the selected sensor at the current pre-selected installation position includes: Step S2b1, obtaining the data error value of the selected sensor at the current pre-selected installation position; Step S2b11, obtaining data collected by the selected sensor at the current pre-selected installation position; Step S2b12: deploy multiple selected sensors at the same pre-selected installation position, collect multiple sets of data, and take the average value of the multiple sets of data as reference data; Step S2b13, calculating the difference between the data collected by the selected sensor at the current pre-selected installation position and the reference data, and obtaining the data error value of the selected sensor at the current pre-selected installation position; Step S2b2, obtaining the time stability index of the selected sensor at the current pre-selected installation position; Step S2b21, obtaining data continuously collected by the selected sensor at the current pre-selected installation position for a period of time t to form a time series data set; Step S2b22, calculating the mean of all data in the time series data set, and obtaining the standard deviation of all data in the time series data set through the mean; Step S2b23, calculating the time stability index of the selected sensor at the current pre-selected installation position according to the standard deviation and mean of all data in the time series data set; The calculation formula for the time stability index of the selected sensor at the current pre-selected installation position is: ； In the formula, Represents the time stability index of the selected sensor at the current pre-selected installation position; Represents the standard deviation of all data in the time series dataset; Represents the mean of all data in the time series dataset; Step S2b3, obtaining the spatial consistency index of the selected sensor at the current pre-selected installation position; Step S2b31, counting the number of sensors selected other than the selected sensor at the current pre-selected installation position; Step S2b32, obtaining the maximum value of the data collected by the sensors other than the selected sensor at the current pre-selected installation position; Step S2b33, calculating the mean absolute error between the data collected by the selected sensor at the current pre-selected installation position and the data collected by each other selected sensor at the current pre-selected installation position; Step S2b34, calculating the spatial consistency index of the selected sensor at the current preselected installation position according to the maximum value and the mean absolute error value of the data collected by other selected sensors at the current preselected installation position; The calculation formula for the spatial consistency index of the selected sensor at the current pre-selected installation position is: ； In the formula, Represents the spatial consistency index of the selected sensor at the current pre-selected installation position; Represents the number of other selected sensors besides the selected sensor; Represents the data collected by the selected sensor at the current pre-selected installation location; represents the jth other selected sensor; represents the maximum value of the data collected from the selected sensor at the current preselected installation position, and the maximum value of the data collected from other selected sensors except the selected sensor at the current preselected installation position; Step S2b4: Calculate a first comprehensive score of the selected sensor at the current preselected installation position based on the data error value, time stability index, and spatial consistency index of the selected sensor at the current preselected installation position.

2. A sensor and port infrastructure coupling and construction method according to claim 1, characterized in that: The calculating of a second comprehensive score of the selected sensor at the current preselected installation position comprises: Step S2c1, obtaining the data update frequency factor of the selected sensor at the current pre-selected installation position; Step S2c11, calling the time series data set formed in step S2b21, and setting the observation period; Step S2c12: Count the total number of data updates within the observation period based on the time series data set; Step S2c13, calculating the data update frequency factor of the selected sensor at the current pre-selected installation position according to the ratio of the total number of data updates within the observation period to the observation period; Step S2c2, obtaining an abnormality detection factor of the selected sensor at the current pre-selected installation position; Step S2c21, counting the number of outliers in the time series data set; Step S2c22, calculating the anomaly detection factor of the selected sensor at the current pre-selected installation position according to the number of outliers in the time series data set and the observation period; Among them, the calculation formula for the abnormal detection factor of the selected sensor at the current pre-selected installation position is: ； In the formula, represents the anomaly detection factor of the selected sensor at the current preselected installation location; Represents the number of outliers in the time series dataset; represents the observation period; Step S2c3: Calculate a second comprehensive score of the selected sensor at the current preselected installation location based on the first comprehensive score of the selected sensor at the current preselected installation location, the data update frequency factor, and the abnormality detection factor.

3. A sensor and port infrastructure coupling and construction method according to claim 1, characterized in that: The number of priority installation locations obtained is counted, and the final priority installation locations are further screened, including: Step S2e1, sorting the second comprehensive scores of all priority installation locations from high to low; Step S2e2: Based on the sorting result, select the priority installation position with the second highest comprehensive score as the final priority installation position.

4. A sensor and port infrastructure coupling and construction method according to claim 1, characterized in that: The calculation formula for the first comprehensive score of the selected sensor at the current pre-selected installation position is: ； In the formula, represents the first comprehensive score of the selected sensor at the current pre-selected installation location; Represents the data error value of the selected sensor at the current pre-selected installation position mapped to Nonlinear transfer functions within the interval; Represents the time stability index used to map the selected sensor at the current preselected installation position to Nonlinear transfer functions within the interval; Represents the spatial consistency index used to map the selected sensor at the current preselected installation position to Nonlinear transfer functions within the interval; , , They represent the weight coefficients of data error value, temporal stability index and spatial consistency index respectively.

5. A sensor and port infrastructure coupling and construction method according to claim 2, characterized in that: The calculation formula for the second comprehensive score of the selected sensor at the current pre-selected installation position is: ； In the formula, A second comprehensive score representing the selected sensor at the current pre-selected installation location; represents the first comprehensive score of the selected sensor at the current pre-selected installation location; Represents the data update frequency factor of the selected sensor at the current pre-selected installation position; represents the anomaly detection factor of the selected sensor at the current preselected installation location; represents the weight factor; , They represent the weight coefficients of the data update frequency factor and the anomaly detection factor respectively.

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