Sensor and port infrastructure coupling and construction method

Abstract

The invention discloses a sensor and port infrastructure coupling and construction method, and relates to the technical field of coupling, and the method comprises the steps: calculating a first comprehensive score and a second comprehensive score of a selected sensor at a current preselected installation position, and enabling the design of the first comprehensive score to integrate a data error value, a time stability index and a space consistency index; according to the method, comprehensive evaluation on the basic performance of the sensor is provided, on the basis, the second comprehensive score intervenes, the overall performance of the sensor can be evaluated more comprehensively, and therefore screening of the most appropriate installation position can be further helped effectively, threshold value judgment and the refined sorting and screening process can be further helped effectively, and the accuracy and the reliability of the sensor are improved. According to the method, the final preferential installation position is scientifically and effectively screened out, so that the performance of the sensor can be reflected to the maximum at the final preferential installation position, the influence on the accuracy of monitoring data can be effectively reduced, and meanwhile, the influence on the coupling of subsequent sensors and the reliability of construction can be effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of coupling technology, and in particular to a coupling and construction method of 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 beginning to adopt intelligent sensing technology. Traditional sensor coupling and construction usually follow the following steps: First, a detailed assessment of the specific needs of the port is conducted, including which parameters need to be monitored such as temperature, humidity, cargo location, equipment status, etc., as well as data transmission and storage requirements. Then, the corresponding sensor type is selected based on the results of the demand analysis, including the technical specifications of the sensor, etc. Then, based on the selected sensor, the most suitable location for sensor installation in the port is determined, and after confirmation, the sensor is coupled, that is, the sensor is physically connected to the central control system to complete the coupling. The specific coupling construction process is to connect the sensor node to the central control system through a cable. This process involves complex wiring engineering, interface connection debugging and other steps. Sometimes, it is even necessary to modify existing buildings or facilities to complete the installation; Although existing construction methods can achieve a certain degree of coupling between sensors and port infrastructure, there are still some significant problems and challenges: In existing methods, the selection of sensor installation locations often relies on engineers’ experience and intuitive judgment, and lacks systematic, data-based site selection analysis. This results in the selected installation locations often failing to maximize sensor performance, which not only easily affects the accuracy of monitoring data, but also the reliability of subsequent sensor coupling and construction. Therefore, the prior art urgently needs a technical solution for coupling sensors with port infrastructure and a construction method. Summary of the invention

[0003] In order to solve the above technical problems, the present invention provides a method for coupling a sensor with port infrastructure and a construction method, which specifically includes the following steps: 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 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, calculating a 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; The calculation formula for obtaining 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; , , Represent the weight coefficients of data error value, temporal stability index and spatial consistency index respectively; Step S2c, calculating a second comprehensive score of the selected sensor at the current preselected installation position; 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, calculating a second comprehensive score of the selected sensor at the current preselected installation location according to the first comprehensive score of the selected sensor at the current preselected installation location, the data update frequency factor, and the abnormality detection factor; The calculation formula for obtaining 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; , Represent the weight coefficients of data update frequency factor and anomaly detection factor respectively; 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 obtained, and further screening to obtain the final priority installation position; 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; Step S3: Perform installation work on the sensor based on the final priority installation position of the sensor.

[0004] The embodiments of the present invention have the following technical effects: In order to avoid the existing method of selecting the sensor installation location relying on the experience and intuitive judgment of engineers, the present invention performs a series of data-driven analysis methods on the selected sensors to improve the scientific, accurate and reliable site selection; specifically, by calculating the first and second comprehensive scores of the selected sensor at the current pre-selected installation location, the design of the first comprehensive score integrates the data error value, the time stability index and the spatial consistency index, and provides a comprehensive evaluation of the basic performance of the sensor. This multi-dimensional scoring system can more accurately reflect the performance of the sensor at a specific location and help screen out the most suitable installation location. On this basis, the second comprehensive score not only combines the first comprehensive score, but also further considers the data update frequency factor and the 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 sensor, so as to further effectively help screen out the most suitable installation location, and finally combines the threshold determination and the refined sorting and screening process to scientifically and effectively screen out the final priority installation location, so that the performance of the sensor can be maximized at this final priority installation location, thereby effectively reducing the impact on the accuracy of the monitoring data, and at the same time effectively reducing the impact on the coupling of subsequent sensors and the reliability of construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0005] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0006] Figure 1 The present invention provides a flow chart of a sensor and port infrastructure coupling and construction method. DETAILED DESCRIPTION

[0007] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0008] Embodiment 1: Figure 1 As shown, the present invention provides a sensor and port infrastructure coupling and construction method, comprising the following steps: 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.

[0009] Step S2: Performing site selection analysis on the installation location of the sensor based on the selected sensor to obtain the final priority installation location of the sensor.

[0010] Step S2a: Select a pre-selected installation location for the sensor.

[0011] Step S2b, calculating a first comprehensive score of the selected sensor at the current preselected installation location.

[0012] Step S2b1, obtaining the data error value of the selected sensor at the current pre-selected installation position.

[0013] Step S2b11, obtaining data collected by the selected sensor at the current pre-selected installation position.

[0014] 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.

[0015] 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.

[0016] It is worth noting that by introducing the average value of multiple sets of sensor data as reference data, the data error of a single sensor can be accurately evaluated, thereby improving the accuracy of error evaluation. This method ensures that the basic performance of each sensor can be objectively evaluated, thereby effectively assisting in selecting the optimal installation location.

[0017] Step S2b2: Obtain the time stability index of the selected sensor at the current preselected installation position.

[0018] Step S2b21, obtaining data continuously collected by the selected sensor at the current pre-selected installation position within a time period of t to form a time series data set.

[0019] Step S2b22: Calculate the mean of all data in the time series data set, and obtain the standard deviation of all data in the time series data set through the mean.

[0020] Step S2b23: Calculate the time stability index of the selected sensor at the current pre-selected installation position based on the standard deviation and mean of all data in the time series data set.

[0021] 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 preselected 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.

[0022] It is worth mentioning that in terms of time stability assessment, the time stability of the sensor is comprehensively evaluated by combining the mean and standard deviation to ensure its long-term stable operation. This comprehensive evaluation method can more truly reflect the performance of the sensor in different time periods and enhance the reliability of the evaluation results, thereby also providing an effective data basis for the selection of the optimal installation location.

[0023] Step S2b3: Obtain the spatial consistency index of the selected sensor at the current preselected installation position.

[0024] Step S2b31, counting the number of sensors other than the selected sensor at the current pre-selected installation position.

[0025] Step S2b32: Obtain the maximum value of the data collected by the sensors other than the selected sensor at the current pre-selected installation position.

[0026] Step S2b33: Calculate the average absolute error 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.

[0027] Step S2b34: Calculate the spatial consistency index of the selected sensor at the current preselected installation position based on the maximum value and the mean absolute error value of the data collected by other selected sensors at the current preselected installation position.

[0028] 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; It is worth noting that for spatial consistency assessment, the present invention ensures the consistency of data from multiple sensors in the same area by calculating the average absolute error between the selected sensor and other selected sensors and normalizing according to the maximum value. 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 selecting the optimal installation location.

[0029] 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.

[0030] The calculation formula for obtaining 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; , , Represent the weight coefficients of data error value, temporal stability index and spatial consistency index respectively; It is worth mentioning 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 sensor performance. This multi-dimensional scoring system can more accurately reflect the performance of the sensor in the current pre-selected installation location and help select the most suitable installation location.

[0031] Step S2c, calculating a second comprehensive score of the selected sensor at the current preselected installation position; 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; It is worth noting 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 under abnormal conditions. The addition of these two indicators makes the design of the second comprehensive score more complete and can more comprehensively evaluate the overall performance of the sensor at the current pre-selected installation location, including the basic performance and operational performance of the sensor at the current pre-selected installation location.

[0032] Step S2c3, calculating a second comprehensive score of the selected sensor at the current preselected installation location according to the first comprehensive score of the selected sensor at the current preselected installation location, the data update frequency factor, and the abnormality detection factor; The calculation formula for obtaining 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; , Represent the weight coefficients of data update frequency factor and anomaly detection factor respectively; It is worth noting that the first comprehensive score mainly focuses on the basic performance of the sensor at the current pre-selected installation position, such as data error, time stability, and spatial consistency. These are the core factors that determine whether the sensor is suitable for a certain position, while the data update frequency and anomaly detection are more of a supplementary evaluation of the sensor's operating performance, which is suitable for consideration in the further optimization stage after the initial screening. Therefore, the present invention performs a staged 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 executed in the calculation of the second comprehensive score; at the same time, by first determining whether the basic performance of the sensor is up to 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 computing burden, so as to achieve the purpose of improving efficiency.

[0033] 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; It is worth noting that if only the second comprehensive score combined with the second threshold is relied upon for judgment, some pre-selected installation locations with poor basic performance will be ignored. For example, a sensor may perform well in terms of data update frequency and anomaly detection, but have obvious defects in data error or time stability. Although such a sensor has good operating performance at the current pre-selected installation location, the accuracy and reliability of its monitoring data at the current pre-selected installation location 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 first comprehensive score and the first threshold for judgment. The first comprehensive score ensures that the basic performance of the sensor at the current pre-selected installation location is qualified, and the second comprehensive score further considers operational performance indicators such as data update frequency and anomaly detection on this basis. By performing threshold judgment on the second comprehensive score, the location with the best operating performance can be selected on the premise of meeting the basic performance. It is also worth noting that this dual-threshold judgment provides double protection, ensuring that the final selected installation location not only has good basic performance, but also performs well in actual operation. This makes the entire evaluation process more rigorous and avoids selection bias that may be caused by a single standard.

[0034] Step S2e, counting the number of priority installation positions obtained, and further screening to obtain the final priority installation position; 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; It is worth noting that since the second comprehensive score is the result of further optimization calculation based on the first comprehensive score, it has a higher priority, and the second comprehensive score can also reflect the basic performance of the sensor in the current pre-selected installation position. Therefore, it is only necessary to sort the second comprehensive scores. On the premise of meeting the basic performance, the priority installation position with the best operating performance can be selected as the final priority installation position. Similarly, specific analysis should be conducted based on specific circumstances. If the basic performance of the sensor in the current pre-selected installation position is more concerned, then it is only necessary to sort the first comprehensive scores of all priority installation positions from high to low, so as to obtain the priority installation position with the best basic performance as the final priority installation position on the premise of meeting the operating performance. It is worth further explaining that these are all results that can be achieved based on dual threshold judgment.

[0035] Step S3: Perform installation work on the sensor based on the final priority installation position of the sensor.

[0036] Based on the strict screening of the first and second comprehensive scores, ensure that the final selected installation location has the best basic performance and operational performance. At the same time, it is necessary to check the relevant parameters of the final priority installation location such as spatial consistency, time stability, data error, etc. again to ensure that it meets the expected standards, thereby reducing reliability problems caused by improper location. Then prepare the necessary installation tools to perform coupling construction on the sensor, such as screwdrivers, electric drills, cable cutters, and required wiring materials such as cables, connectors, fixing clips, interface connection devices, etc. Then, according to the determined final priority installation location, use appropriate fixing devices such as brackets and screws to firmly install the sensor node at the selected location. Then, according to the pre-planned path, wiring is carried out to minimize the exposure and complexity of the line, ensure that the laying of the cable meets the electrical safety standards, and take necessary protective measures such as pipe protection and waterproofing treatment until it is connected to the central control system through the cable. After completing the physical installation, that is, coupling construction, immediately conduct preliminary testing, that is, continuously monitor the working status of the sensor at the current final priority installation location, and record its data transmission and performance to ensure that the sensor remains stable and reliable in actual operation.

[0037] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0038] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are 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, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. 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 or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the 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 circumstances.

[0039] 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 it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions 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; 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: Perform installation work on the sensor based on the final priority installation position of the sensor.

2. A sensor and port infrastructure coupling and construction method according to claim 1, characterized in that: Calculate the first comprehensive score of the selected sensor at the current pre-selected installation location, including: 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.

3. A sensor and port infrastructure coupling and construction method according to claim 2, 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.

4. A sensor and port infrastructure coupling and construction method according to claim 1, characterized in that: The number of priority installation positions obtained by counting is further screened to obtain the final priority installation positions, 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.

5. A sensor and port infrastructure coupling and construction method according to claim 2, 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.

6. A sensor and port infrastructure coupling and construction method according to claim 3, 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 preselected 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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