Smart Park Environmental Data Analysis System and Method Based on Multi-Source Data

Abstract

This invention discloses a smart park environmental data analysis system and method based on multi-source data, relating to the field of park environmental analysis technology. The system includes identifying the criticality of environmental indicators in historical environmental monitoring records to lighting equipment; analyzing the impact of key environmental indicators within a region on lighting requirements under different numerical ranges; analyzing the correlation between the region and lighting requirement patterns over different historical time periods, and analyzing the lighting association between lighting equipment and other lighting equipment under the lighting requirement patterns to obtain lighting association data; evaluating the lighting requirements of lighting equipment in the current period to obtain a target lighting requirement pattern; and adjusting and controlling the lighting of lighting equipment according to the target lighting requirement pattern. This allows for precise control of lighting requirements based on the environmental analysis of the smart park, significantly reducing energy consumption within the smart park.

Description

Technical Field

[0001] This invention relates to the field of park environmental analysis technology, specifically to a smart park environmental data analysis system and method based on multi-source data. Background Technology

[0002] There are numerous data sources in smart parks. Simply acquiring data from a single source is insufficient for effective analysis. For example, analyzing electricity consumption in a smart park using only meters only reveals when energy consumption is abnormal in a particular area, but not the specific cause, making action impossible. However, by collecting and analyzing multi-source data within the smart park, we can understand why the problem occurred and take corresponding solutions. Therefore, using multi-source data technology to analyze environmental data in smart parks overcomes the limitations and biases of single-source data, reveals hidden correlations between data points, and truly unlocks the potential of data.

[0003] Refined energy management is the most effective way to generate direct economic benefits in smart parks. Lighting equipment, being the most common component in smart parks, significantly influences energy consumption. Currently, most methods for controlling lighting in smart parks simply adjust the on / off times of lighting equipment, rarely considering the impact of environmental changes on lighting requirements. Furthermore, the impact of different operating conditions on other lighting equipment varies considerably. This prevents lighting equipment from adapting to actual environmental changes, leading not only to increased energy consumption but also unnecessary inconvenience for users. Summary of the Invention

[0004] The purpose of this invention is to provide a smart park environmental data analysis system and method based on multi-source data to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a smart park environmental data analysis method based on multi-source data, the method comprising: Step S1: Obtain historical lighting records of lighting equipment in the smart park, obtain historical environmental monitoring records of the area where the lighting equipment is located, identify the criticality of environmental indicators in the historical environmental monitoring records to the lighting of the lighting equipment, and obtain key environmental data; Step S2: Based on key environmental data, analyze the impact of key environmental indicators in the region on the lighting requirements of lighting equipment under different numerical ranges, and obtain the lighting requirement pattern data of lighting equipment; Step S3: Based on the lighting requirement patterns of lighting devices in the lighting requirement pattern data, analyze the correlation between the region and the lighting requirement patterns under different historical time lengths to obtain relevant historical time data. Based on the relevant historical time data, acquire the historical lighting behavior of other lighting devices in the region, and analyze the lighting correlation between lighting devices and other lighting devices under the lighting requirement patterns to obtain lighting correlation data. Step S4: Obtain the environmental monitoring records of the area where the lighting equipment is located in the current cycle, and combine the lighting requirement mode data and lighting correlation data to evaluate the lighting requirements of the lighting equipment in the current cycle, obtain the target lighting requirement mode, and adjust and control the lighting of the lighting equipment according to the target lighting requirement mode.

[0006] Furthermore, step S1 includes: Step S11: Acquire the historical lighting records of the lighting equipment in the smart park in each historical period, obtain the preset marking duration, and at each marking duration, obtain the values ​​of various lighting indicators from the historical lighting records of the lighting equipment and aggregate them to obtain the dataset corresponding to each lighting indicator in the historical lighting records. Step S12: Obtain the area where the lighting equipment is located in the smart park, obtain the historical environmental monitoring records of the area in each historical period, and obtain the values ​​of various environmental indicators from the historical environmental monitoring records at each marked time interval and aggregate them to obtain the dataset of various environmental indicators in the historical environmental monitoring records. Step S13: Obtain the dataset of the a-th environmental indicator in the region within a certain historical period; obtain the dataset of the b-th lighting indicator in the lighting equipment within a certain historical period; calculate the correlation value r between the a-th environmental indicator and the b-th lighting indicator within a certain historical period. （a,b） ; Obtain the correlation values ​​between the a-th environmental indicator and the b-th lighting indicator in each historical period, and calculate the data correlation value C between the a-th environmental indicator and the b-th lighting indicator. (a,b) ; , Where j is the total number of historical cycles; r z (a,b) The correlation value between the a-th environmental indicator and the b-th lighting indicator within the z-th historical period; Obtain the data correlation values ​​of the a-th environmental indicator with respect to each lighting indicator, and calculate the lighting criticality L of the a-th environmental indicator in the region for lighting equipment. a : , Among them, C (a,i)represents the correlation value between the a-th environmental indicator and the ith lighting indicator in the lighting equipment; n is the total number of lighting indicators for the lighting equipment. Step S14: When the lighting criticality level L a If the environmental indicator is greater than the preset threshold for lighting criticality, then the environmental indicator a is determined to have lighting criticality for the lighting equipment. The environmental indicator a is marked as the critical environmental indicator of the lighting equipment. All critical environmental indicators of the lighting equipment are obtained and aggregated to obtain the critical environmental data of the lighting equipment. The above steps involve analyzing the correlation between different environmental indicators and lighting indicators of lighting equipment within the smart park area. This allows us to understand the impact of changes in different environmental indicators on the lighting of the equipment, thereby identifying key environmental indicators that have a critical impact on the lighting. Subsequently, by analyzing these key environmental indicators, we can accurately determine the lighting requirements of the lighting equipment and achieve precise control over it.

[0007] Furthermore, step S2 includes: Step S21: Obtain key environmental data of the lighting equipment, and extract various key environmental indicators of the lighting equipment from the key environmental data; Step S22: Analyze the impact of key environmental indicators within the region on the lighting requirements of lighting equipment under different numerical ranges. The specific analysis process is as follows: Obtain historical environmental monitoring records for each historical period in the area where the lighting equipment is located. Extract data of various lighting indicators from the historical lighting records of the lighting equipment in the d-th historical period. If the values ​​of various lighting indicators of the lighting equipment in the historical time period t´ in the d-th historical period do not change, collect the values ​​of various lighting indicators in the historical time period t´ and record them as a certain lighting requirement mode of the lighting equipment. Step S23: Obtain the maximum and minimum values ​​of each key indicator in the historical period t´ from the historical environmental monitoring records of the region in the d-th historical period, construct the data range of each key environmental indicator in the historical period t´, obtain the data range of key environmental indicators in the region under a certain lighting requirement mode, and record the historical period t´ as the characteristic historical period of a certain lighting requirement mode. Obtain the historical time periods corresponding to a certain lighting requirement mode, and obtain the data range of each key environmental indicator within each historical time period. Step S24: Take the union of the data ranges of a key environmental indicator within each historical period of each feature to obtain the target data range of a key environmental indicator in the area under a certain lighting requirement mode of the lighting equipment. The target data range of each key environmental indicator under a certain lighting requirement mode is obtained and aggregated to obtain the environmental range data of the lighting equipment under a certain lighting requirement mode. It is determined that each key environmental indicator in the area is within the environmental range data and has an impact on the lighting equipment under a certain lighting requirement mode. Step S25: Obtain the various lighting requirement modes of the lighting equipment, acquire the environmental range data under each lighting requirement mode and collect them to obtain the lighting requirement mode data of the lighting equipment.

[0008] Furthermore, step S3 includes: Step S31: Obtain the lighting requirement mode data of the lighting equipment, and extract various lighting requirement modes from the lighting requirement mode data; Obtain the values ​​of each lighting index within the e-th lighting requirement mode in the lighting requirement mode data, obtain each historical lighting record of the lighting equipment in the area, and obtain the preset marking duration t. ▽ Every marked duration, the values ​​of various lighting indicators are obtained from a certain historical lighting record. When the values ​​of various lighting indicators in a certain historical lighting record within a certain marked duration are the same as the values ​​of various lighting indicators in the e-th lighting requirement mode, it is determined that the region is related to the e-th lighting requirement mode within a certain marked duration. The historical time period in which the marked duration is located is obtained and recorded as the target historical time period of the e-th lighting requirement mode. Step S32: Obtain historical lighting records of other lighting devices in the area, obtain each target historical time period of the e-th lighting requirement mode, obtain the historical lighting behavior of other lighting devices in the target historical time period, and obtain the characteristic historical lighting records of other lighting devices under the e-th lighting requirement mode; At marked intervals, retrieve the values ​​of various lighting indicators from other lighting devices in the feature history lighting records; Based on the values ​​of various lighting indicators of other lighting devices in the characteristic historical lighting records for each marked duration, two marked durations with the same values ​​of various lighting indicators are obtained, and it is determined that other lighting devices are in the same lighting mode during the two marked durations. Step S33: Obtain the lighting patterns of other lighting devices in the historical lighting records of each feature, and analyze the lighting correlation between the lighting devices and other lighting devices under the lighting requirement mode of item e. The specific analysis process is as follows: Obtain the maximum time t between the current cycle and the various historical lighting records of the lighting equipment. max Obtain the historical lighting records of other lighting devices under the lighting requirement mode e, and obtain several historical lighting records of other lighting devices whose lighting mode is the lighting mode f from the historical lighting records of other lighting devices. Step S34: Obtain the duration of the distance between several historical lighting records and the current period, and calculate the lighting correlation strength Q between the e-th lighting requirement mode of the lighting equipment and the f-th lighting mode of other lighting equipment. (e,f) : , Among them, t α The distance between the α-th characteristic historical lighting record and the current period is the duration of the distance between the α-th characteristic historical lighting record and the current period; m is the total number of characteristic historical lighting records. When the lighting correlation intensity Q (e,f) If the intensity exceeds the preset lighting association threshold, it is determined that the e-th lighting requirement mode of the lighting device is associated with the f-th lighting mode of other lighting devices, and the other lighting devices are recorded as associated lighting devices of the lighting device. The lighting association data of the lighting equipment is obtained by acquiring and aggregating the various associated lighting devices. The above steps analyze the lighting correlation between lighting equipment and other lighting equipment under different lighting requirement modes because lighting equipment and other lighting equipment usually do not have a direct interaction. Therefore, the lighting requirement mode of a lighting equipment determines its specific lighting scenario. Different lighting requirement modes of a lighting equipment will have different effects on other lighting equipment. Therefore, by analyzing the lighting correlation, the lighting influence between lighting equipment and other lighting equipment becomes more obvious. This is not only for lighting equipment, but also for the specific lighting requirement mode of the actual lighting equipment, that is, for the actual lighting scenario. This makes the acquisition of the correlation between equipment more scientific and accurate, and also makes the lighting control of lighting equipment more precise.

[0009] Furthermore, step S4 includes: Step S41: Monitor the environment in the area where the lighting equipment is located, obtain environmental monitoring records for the area, and acquire the average value of each key environmental indicator in the environmental data; Step S42: Obtain the lighting requirement mode data of the lighting equipment, and obtain the environmental range data of each lighting requirement mode of the lighting equipment from the lighting requirement mode data; If the average values ​​of all key environmental indicators in the region during the current period are within the target data range of all key environmental indicators under the qth lighting requirement mode, then the qth lighting requirement mode is marked and recorded as the marked lighting requirement mode of the lighting equipment during the current period. Step S43: Obtain the marked lighting requirement patterns of the lighting equipment in the current period, and combine them with the lighting association data of the lighting equipment to evaluate the lighting requirements of the lighting equipment in the current period. The specific evaluation process is as follows: From the key lighting data, obtain the associated lighting devices of the lighting equipment, obtain the average value of each associated lighting device in the current period, obtain the lighting mode corresponding to each associated lighting device based on the average value of each associated lighting device in the current period, and record it as the marked lighting mode of each associated lighting device in the current period. Step S44: When there is a lighting association between a certain associated lighting device's marked lighting mode and a certain marked lighting requirement mode of a lighting device in the current period, the certain associated lighting device is recorded as the target associated lighting device corresponding to the certain marked lighting requirement mode. Obtain the target associated lighting devices for a given marked lighting requirement pattern of lighting equipment, and calculate the marked value H of the given marked lighting requirement pattern: , k is the total number of target-associated lighting devices corresponding to a certain marked lighting requirement pattern of the lighting device; Q´ s The lighting association strength between a certain marked lighting requirement pattern and the marked lighting pattern of the s-th target-associated lighting device among all target-associated lighting devices; Obtain the maximum value of the marker values ​​for each marked lighting requirement mode of the lighting equipment, and record the marked lighting requirement mode corresponding to the maximum value as the target lighting requirement mode of the lighting equipment in the current period; Based on the values ​​of various lighting indicators in the target lighting requirement mode, the lighting of the lighting equipment is adjusted and controlled; The above method, which obtains environmental monitoring records within the smart park during the current period and combines them with lighting requirement mode data and lighting correlation data to assess the lighting requirements of lighting equipment during the current period, is based on the fact that the values ​​of key environmental indicators corresponding to different lighting requirement modes in the lighting requirement mode data are a data range. This means that the values ​​of key environmental indicators in the smart park during the current period will fall within the environmental range data corresponding to several lighting requirement modes. Therefore, it is necessary to use the lighting conditions of other lighting equipment during the current period and combine the lighting correlation between lighting equipment and other lighting equipment in different lighting scenarios to accurately obtain the lighting requirements of lighting equipment during the current period. This enables precise control of lighting equipment and greatly saves energy consumption within the smart park.

[0010] To better implement the above methods, a smart park environmental data analysis system based on multi-source data is also proposed. The system includes an environmental key identification module, a lighting requirement analysis module, a lighting correlation analysis module, and a lighting control module. The environmental key identification module is used to obtain historical lighting records of lighting equipment, historical environmental monitoring records of the area where the lighting equipment is located, identify the degree of environmental indicators in the historical environmental monitoring records to the lighting of the lighting equipment, and obtain key environmental data. The lighting requirements analysis module is used to analyze the impact of key environmental indicators in a region on the lighting requirements of lighting equipment under different numerical ranges, and to obtain lighting requirement pattern data of lighting equipment. The lighting correlation analysis module is used to analyze the lighting correlation between lighting devices and other lighting devices under the lighting requirement mode in the lighting requirement mode data, and obtain lighting correlation data. The lighting control module is used to acquire environmental monitoring records of the area in the current period, and combine them with lighting requirement mode data and lighting correlation data to evaluate the lighting requirements of lighting equipment in the current period, obtain the target lighting requirement mode, and adjust and control the lighting of the lighting equipment according to the target lighting requirement mode.

[0011] Furthermore, the environmental key identification module includes a recording and acquisition unit and an environmental key identification unit; The record acquisition unit is used to acquire historical lighting records of lighting equipment in the smart park and historical environmental monitoring records of the area where the lighting equipment is located. The environmental criticality identification unit is used to identify the degree of criticality of environmental indicators in historical environmental monitoring records to lighting equipment based on historical lighting records and historical environmental monitoring records, thereby obtaining critical environmental data.

[0012] Furthermore, the lighting requirements analysis module includes a data acquisition unit and a lighting requirements analysis unit; The data acquisition unit is used to acquire key environmental data of the lighting equipment and extract various key environmental indicators of the lighting equipment from the key environmental data. The lighting requirements analysis unit is used to analyze the impact of key environmental indicators within a region on the lighting requirements of lighting equipment under different numerical ranges, and to obtain lighting requirement pattern data for lighting equipment.

[0013] Furthermore, the lighting correlation analysis module includes a time correlation analysis unit and a lighting correlation analysis unit; The time correlation analysis unit is used to analyze the correlation between the lighting requirements patterns of regions and lighting equipment under different historical time lengths, and to obtain relevant historical time data; The lighting correlation analysis unit is used to analyze the lighting correlation between lighting devices and other lighting devices under lighting requirement modes based on relevant historical time data, and obtain lighting correlation data.

[0014] Furthermore, the lighting control module includes a lighting requirement assessment unit and a lighting control unit; The lighting requirement assessment unit is used to acquire environmental monitoring records of the area where the lighting equipment is located in the current period, and combine the lighting requirement pattern data and lighting correlation data of the lighting equipment to assess the lighting requirement status of the lighting equipment in the current period and obtain the target lighting requirement pattern of the lighting equipment. The lighting control unit is used to adjust and control the lighting of the lighting equipment in the smart park according to the target lighting requirements.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention enables precise understanding of the lighting requirements of lighting equipment based on the environmental analysis of a smart park, identifies key environmental indicators affecting the lighting of lighting equipment within the area, and establishes a connection between the environment and the lighting requirements of lighting equipment by analyzing the distribution of lighting requirement patterns of lighting equipment under different values ​​of key environmental indicators over historical periods. It also considers the correlation between lighting equipment and other lighting equipment under different lighting requirement patterns in actual processes, and analyzes the impact of the environment and other lighting equipment on the lighting requirements of lighting equipment in the current period, combined with environmental data within the current period. Therefore, by controlling the lighting equipment based on environmental changes within the smart park, this not only ensures that the lighting needs of various areas within the smart park are met, but also significantly saves unnecessary energy consumption. Attached Figure Description

[0016] Figure 1 This is a method logic diagram of the smart park environmental data analysis method based on multi-source data of the present invention; Figure 2 This is a flowchart of the modules of the smart park environmental data analysis system based on multi-source data of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example: Figures 1-2 As shown, this invention provides a technical solution: a smart park environmental data analysis method based on multi-source data, the method comprising: Step S1: Obtain historical lighting records of lighting equipment in the smart park, obtain historical environmental monitoring records of the area where the lighting equipment is located, identify the criticality of environmental indicators in the historical environmental monitoring records to the lighting of the lighting equipment, and obtain key environmental data; Step S1 includes: Step S11: Acquire the historical lighting records of the lighting equipment in the smart park in each historical period, obtain the preset marking duration, and at each marking duration, obtain the values ​​of various lighting indicators from the historical lighting records of the lighting equipment and aggregate them to obtain the dataset corresponding to each lighting indicator in the historical lighting records. For example, various lighting indicators include lighting power, color temperature, and lighting uniformity; Step S12: Obtain the area where the lighting equipment is located in the smart park, obtain the historical environmental monitoring records of the area in each historical period, and obtain the values ​​of various environmental indicators from the historical environmental monitoring records at each marked time interval and aggregate them to obtain the dataset of various environmental indicators in the historical environmental monitoring records. For example, various environmental indicators include temperature, pedestrian traffic, and light intensity; Step S13: Obtain the dataset of the a-th environmental indicator in the region within a certain historical period; obtain the dataset of the b-th lighting indicator in the lighting equipment within a certain historical period; calculate the correlation value r between the a-th environmental indicator and the b-th lighting indicator within a certain historical period. （a,b） ; For example, the correlation value r （a,b） The specific calculation formula is as follows: , Where n is the total number of elements in the dataset of the a-th environmental indicator within a certain historical period; x (a,i) Let y be the value of the i-th element in the dataset of the a-th environmental indicator within a certain historical period; (a,i) Let i be the value of the i-th element in the dataset of the b-th environmental indicator within a certain historical period. Obtain the correlation values ​​between the a-th environmental indicator and the b-th lighting indicator in each historical period, and calculate the data correlation value C between the a-th environmental indicator and the b-th lighting indicator. (a,b) ; , Where j is the total number of historical cycles; r z (a,b) The correlation value between the a-th environmental indicator and the b-th lighting indicator within the z-th historical period; For example, j is 3; the correlation value r between the first environmental indicator and the second lighting indicator in the first historical period. 1(1,2) The correlation coefficient (r) between the first environmental indicator and the second lighting indicator in the second historical period was 0.8. 2 (1,2) The correlation coefficient was 0.9; the correlation value r between the first environmental indicator and the second lighting indicator in the third historical period was 0.9. 3 (1,2) The value is 0.7; calculate the correlation value C between the first environmental indicator and the second lighting indicator. (1,2) : , Obtain the data correlation values ​​of the a-th environmental indicator with respect to each lighting indicator, and calculate the lighting criticality L of the a-th environmental indicator in the region for lighting equipment. a : , Among them, C (a,i) represents the correlation value between the a-th environmental indicator and the ith lighting indicator in the lighting equipment; n is the total number of lighting indicators for the lighting equipment. Step S14: When the lighting criticality level L a If the environmental indicator is greater than the preset threshold for lighting criticality, then the environmental indicator a is determined to have lighting criticality for the lighting equipment. The environmental indicator a is marked as the critical environmental indicator of the lighting equipment. All critical environmental indicators of the lighting equipment are obtained and aggregated to obtain the critical environmental data of the lighting equipment. Step S2: Based on key environmental data, analyze the impact of key environmental indicators in the region on the lighting requirements of lighting equipment under different numerical ranges, and obtain the lighting requirement pattern data of lighting equipment; Step S2 includes: Step S21: Obtain key environmental data of the lighting equipment, and extract various key environmental indicators of the lighting equipment from the key environmental data; Step S22: Analyze the impact of key environmental indicators within the region on the lighting requirements of lighting equipment under different numerical ranges. The specific analysis process is as follows: Obtain historical environmental monitoring records for each historical period in the area where the lighting equipment is located. Extract data of various lighting indicators from the historical lighting records of the lighting equipment in the d-th historical period. If the values ​​of various lighting indicators of the lighting equipment in the historical time period t´ in the d-th historical period do not change, collect the values ​​of various lighting indicators in the historical time period t´ and record them as a certain lighting requirement mode of the lighting equipment. Step S23: Obtain the maximum and minimum values ​​of each key indicator in the historical period t´ from the historical environmental monitoring records of the region in the d-th historical period, construct the data range of each key environmental indicator in the historical period t´, obtain the data range of key environmental indicators in the region under a certain lighting requirement mode, and record the historical period t´ as the characteristic historical period of a certain lighting requirement mode. Obtain the historical time periods corresponding to a certain lighting requirement mode, and obtain the data range of each key environmental indicator within each historical time period. Step S24: Take the union of the data ranges of a key environmental indicator within each historical period of each feature to obtain the target data range of a key environmental indicator in the area under a certain lighting requirement mode of the lighting equipment. The target data range of each key environmental indicator under a certain lighting requirement mode is obtained and aggregated to obtain the environmental range data of the lighting equipment under a certain lighting requirement mode. It is determined that each key environmental indicator in the area is within the environmental range data and has an impact on the lighting equipment under a certain lighting requirement mode. Step S25: Acquire the various lighting requirement modes of the lighting equipment, acquire the environmental range data under each lighting requirement mode and aggregate them to obtain the lighting requirement mode data of the lighting equipment; Step S3: Based on the lighting requirement patterns of lighting devices in the lighting requirement pattern data, analyze the correlation between the region and the lighting requirement patterns under different historical time lengths to obtain relevant historical time data. Based on the relevant historical time data, acquire the historical lighting behavior of other lighting devices in the region, and analyze the lighting correlation between lighting devices and other lighting devices under the lighting requirement patterns to obtain lighting correlation data. Step S3 includes: Step S31: Obtain the lighting requirement mode data of the lighting equipment, and extract various lighting requirement modes from the lighting requirement mode data; Obtain the values ​​of each lighting index within the e-th lighting requirement mode in the lighting requirement mode data, obtain each historical lighting record of the lighting equipment in the area, and obtain the preset marking duration t. ▽ Every marked duration, the values ​​of various lighting indicators are obtained from a certain historical lighting record. When the values ​​of various lighting indicators in a certain historical lighting record within a certain marked duration are the same as the values ​​of various lighting indicators in the e-th lighting requirement mode, it is determined that the region is related to the e-th lighting requirement mode within a certain marked duration. The historical time period in which the marked duration is located is obtained and recorded as the target historical time period of the e-th lighting requirement mode. Step S32: Obtain historical lighting records of other lighting devices in the area, obtain each target historical time period of the e-th lighting requirement mode, obtain the historical lighting behavior of other lighting devices in the target historical time period, and obtain the characteristic historical lighting records of other lighting devices under the e-th lighting requirement mode; At marked intervals, retrieve the values ​​of various lighting indicators from other lighting devices in the feature history lighting records; Based on the values ​​of various lighting indicators of other lighting devices in the characteristic historical lighting records for each marked duration, two marked durations with the same values ​​of various lighting indicators are obtained, and it is determined that other lighting devices are in the same lighting mode during the two marked durations. Step S33: Obtain the lighting patterns of other lighting devices in the historical lighting records of each feature, and analyze the lighting correlation between the lighting devices and other lighting devices under the lighting requirement mode of item e. The specific analysis process is as follows: Obtain the maximum time t between the current cycle and the various historical lighting records of the lighting equipment. max Obtain the historical lighting records of other lighting devices under the lighting requirement mode e, and obtain several historical lighting records of other lighting devices whose lighting mode is the lighting mode f from the historical lighting records of other lighting devices. Step S34: Obtain the duration of the distance between several historical lighting records and the current period, and calculate the lighting correlation strength Q between the e-th lighting requirement mode of the lighting equipment and the f-th lighting mode of other lighting equipment. (e,f) : , Among them, t α The distance between the α-th characteristic historical lighting record and the current period is the duration of the distance between the α-th characteristic historical lighting record and the current period; m is the total number of characteristic historical lighting records. When the lighting correlation intensity Q (e,f) If the intensity exceeds the preset lighting association threshold, it is determined that the e-th lighting requirement mode of the lighting device is associated with the f-th lighting mode of other lighting devices, and the other lighting devices are recorded as associated lighting devices of the lighting device. The lighting association data of the lighting equipment is obtained by acquiring and aggregating the various associated lighting devices. Step S4: Obtain the environmental monitoring records of the area where the lighting equipment is located in the current period, and combine the lighting requirement pattern data and lighting correlation data to evaluate the lighting requirements of the lighting equipment in the current period, obtain the target lighting requirement pattern, and adjust and control the lighting of the lighting equipment according to the target lighting requirement pattern; Step S4 includes: Step S41: Monitor the environment in the area where the lighting equipment is located, obtain environmental monitoring records for the area, and acquire the average value of each key environmental indicator in the environmental data; Step S42: Obtain the lighting requirement mode data of the lighting equipment, and obtain the environmental range data of each lighting requirement mode of the lighting equipment from the lighting requirement mode data; If the average values ​​of all key environmental indicators in the region during the current period are within the target data range of all key environmental indicators under the qth lighting requirement mode, then the qth lighting requirement mode is marked and recorded as the marked lighting requirement mode of the lighting equipment during the current period. Step S43: Obtain the marked lighting requirement patterns of the lighting equipment in the current period, and combine them with the lighting association data of the lighting equipment to evaluate the lighting requirements of the lighting equipment in the current period. The specific evaluation process is as follows: From the key lighting data, obtain the associated lighting devices of the lighting equipment, obtain the average value of each associated lighting device in the current period, obtain the lighting mode corresponding to each associated lighting device based on the average value of each associated lighting device in the current period, and record it as the marked lighting mode of each associated lighting device in the current period. Step S44: When there is a lighting association between a certain associated lighting device's marked lighting mode and a certain marked lighting requirement mode of a lighting device in the current period, the certain associated lighting device is recorded as the target associated lighting device corresponding to the certain marked lighting requirement mode. Obtain the target associated lighting devices for a given marked lighting requirement pattern of lighting equipment, and calculate the marked value H of the given marked lighting requirement pattern: , k is the total number of target-associated lighting devices corresponding to a certain marked lighting requirement pattern of the lighting device; Q´ s The lighting association strength between a certain marked lighting requirement pattern and the marked lighting pattern of the s-th target-associated lighting device among all target-associated lighting devices; Obtain the maximum value of the marker values ​​for each marked lighting requirement mode of the lighting equipment, and record the marked lighting requirement mode corresponding to the maximum value as the target lighting requirement mode of the lighting equipment in the current period; Based on the values ​​of various lighting indicators in the target lighting requirement mode, the lighting of the lighting equipment is adjusted and controlled; To better implement the above methods, a smart park environmental data analysis system based on multi-source data is also proposed. The system includes an environmental key identification module, a lighting requirement analysis module, a lighting correlation analysis module, and a lighting control module. The environmental key identification module is used to obtain historical lighting records of lighting equipment, historical environmental monitoring records of the area where the lighting equipment is located, identify the degree of environmental indicators in the historical environmental monitoring records to the lighting of the lighting equipment, and obtain key environmental data. The lighting requirements analysis module is used to analyze the impact of key environmental indicators in a region on the lighting requirements of lighting equipment under different numerical ranges, and to obtain lighting requirement pattern data of lighting equipment. The lighting correlation analysis module is used to analyze the lighting correlation between lighting devices and other lighting devices under the lighting requirement mode in the lighting requirement mode data, and obtain lighting correlation data. The lighting control module is used to acquire environmental monitoring records of the area in the current period, and combine them with lighting requirement mode data and lighting correlation data to evaluate the lighting requirements of lighting equipment in the current period, obtain the target lighting requirement mode, and adjust and control the lighting of the lighting equipment according to the target lighting requirement mode. The environmental key identification module includes a recording and acquisition unit and an environmental key identification unit. The record acquisition unit is used to acquire historical lighting records of lighting equipment in the smart park and historical environmental monitoring records of the area where the lighting equipment is located. The environmental criticality identification unit is used to identify the degree of criticality of environmental indicators in historical environmental monitoring records to lighting equipment based on historical lighting records and historical environmental monitoring records, and to obtain critical environmental data. The lighting requirements analysis module includes a data acquisition unit and a lighting requirements analysis unit. The data acquisition unit is used to acquire key environmental data of the lighting equipment and extract various key environmental indicators of the lighting equipment from the key environmental data. The lighting requirements analysis unit is used to analyze the impact of key environmental indicators within a region on the lighting requirements of lighting equipment under different numerical ranges, and to obtain lighting requirement pattern data for lighting equipment. The lighting correlation analysis module includes a time correlation analysis unit and a lighting correlation analysis unit. The time correlation analysis unit is used to analyze the correlation between the lighting requirements patterns of regions and lighting equipment under different historical time lengths, and to obtain relevant historical time data; The lighting correlation analysis unit is used to analyze the lighting correlation between lighting devices and other lighting devices under lighting requirement modes based on relevant historical time data, and to obtain lighting correlation data. The lighting control module includes a lighting requirement assessment unit and a lighting control unit. The lighting requirement assessment unit is used to acquire environmental monitoring records of the area where the lighting equipment is located in the current period, and combine the lighting requirement pattern data and lighting correlation data of the lighting equipment to assess the lighting requirement status of the lighting equipment in the current period and obtain the target lighting requirement pattern of the lighting equipment. The lighting control unit is used to adjust and control the lighting of the lighting equipment in the smart park according to the target lighting requirements.

[0019] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A smart park environmental data analysis method based on multi-source data, characterized in that, The method includes: Step S1: Obtain historical lighting records of lighting equipment in the smart park, obtain historical environmental monitoring records of the area where the lighting equipment is located, identify the criticality of environmental indicators in the historical environmental monitoring records to the lighting of the lighting equipment, and obtain key environmental data; Step S2: Based on the key environmental data, analyze the impact of key environmental indicators in the area on the lighting requirements of the lighting equipment under different numerical ranges, and obtain the lighting requirement pattern data of the lighting equipment; Step S3: Based on the lighting requirement patterns of the lighting devices in the lighting requirement pattern data, analyze the correlation between the region and the lighting requirement patterns under different historical time lengths to obtain relevant historical time data. Based on the relevant historical time data, acquire the historical lighting behavior of other lighting devices in the region, and analyze the lighting association between the lighting devices and other lighting devices under the lighting requirement patterns to obtain lighting association data. Step S4: Obtain the environmental monitoring records of the area where the lighting equipment is located in the current period, and combine the lighting requirement mode data and the lighting association data to evaluate the lighting requirements of the lighting equipment in the current period to obtain the target lighting requirement mode. Adjust and control the lighting of the lighting equipment according to the target lighting requirement mode. Step S3 includes: Step S31: Obtain lighting requirement mode data of the lighting equipment, and obtain various lighting requirement modes from the lighting requirement mode data; Obtain the values ​​of each lighting index within the e-th lighting requirement mode in the lighting requirement mode data, obtain each historical lighting record of the lighting device in the area, and obtain the preset marking duration t. ▽ Every marked duration, the values ​​of various lighting indicators are obtained from a certain historical lighting record. When the values ​​of various lighting indicators in a certain historical lighting record within a certain marked duration are the same as the values ​​of various lighting indicators in the e-th lighting requirement mode, it is determined that the area is related to the e-th lighting requirement mode within a certain marked duration. The historical time period in which the marked duration is located is obtained and recorded as the target historical time period of the e-th lighting requirement mode. Step S32: Obtain historical lighting records of other lighting devices in the area, obtain each target historical time period of the e-th lighting requirement mode, obtain the historical lighting behavior of the other lighting devices in the target historical time period, and obtain the characteristic historical lighting records of other lighting devices under the e-th lighting requirement mode; At marked intervals, retrieve the values ​​of various lighting indicators from other lighting devices in the feature history lighting records; Based on the values ​​of various lighting indicators of other lighting devices in the characteristic historical lighting records for each marked duration, two marked durations with the same values ​​of various lighting indicators are obtained, and it is determined that other lighting devices are in the same lighting mode during the two marked durations. Step S33: Obtain the lighting patterns of other lighting devices in the historical lighting records of each feature, and analyze the lighting correlation between the lighting devices and other lighting devices under the e-th lighting requirement mode. The specific analysis process is as follows: The maximum value t of the time interval between the current cycle and the various historical lighting records of the lighting equipment is obtained. max Obtain the historical lighting records of each feature of the other lighting devices under the lighting requirement mode of the e-th item, and obtain several historical lighting records of the other lighting devices whose lighting mode is the f-th item from the historical lighting records of each feature; Step S34: Obtain the duration of the distance between the current period and the historical lighting records of the several features, and calculate the lighting correlation strength Q between the e-th lighting requirement mode of the lighting device and the f-th lighting mode of other lighting devices. (e,f) : ， Among them, t α The distance between the αth characteristic historical lighting record and the current period is the duration of the distance between the αth characteristic historical lighting record and the current period; m is the total number of characteristic historical lighting records; When the lighting correlation intensity Q (e,f) If the intensity exceeds a preset lighting association threshold, it is determined that the e-th lighting requirement mode of the lighting device is associated with the f-th lighting mode of other lighting devices, and the other lighting devices are recorded as associated lighting devices of the lighting device. The lighting associated devices of the lighting device are acquired and aggregated to obtain the lighting association data of the lighting device.

2. The smart park environmental data analysis method based on multi-source data according to claim 1, characterized in that, Step S1 includes: Step S11: Obtain the historical lighting records of the lighting equipment in the smart park in each historical period, obtain the preset marking duration, and at each marking duration, obtain the values ​​of various lighting indicators from the historical lighting records of the lighting equipment and aggregate them to obtain the dataset corresponding to each lighting indicator in the historical lighting records. Step S12: Obtain the area where the lighting equipment is located in the smart park, obtain the historical environmental monitoring records of the area in each historical period, and obtain the values ​​of various environmental indicators from the historical environmental monitoring records every marked time interval and aggregate them to obtain a dataset of various environmental indicators in the historical environmental monitoring records. Step S13: Obtain the dataset of the a-th environmental indicator in the region within a certain historical period; obtain the dataset of the b-th lighting indicator in the lighting equipment within a certain historical period; and calculate the correlation value r between the a-th environmental indicator and the b-th lighting indicator within a certain historical period. （a,b） ; Obtain the correlation values ​​of the a-th environmental indicator and the b-th lighting indicator within each historical period, and calculate the data correlation value C between the a-th environmental indicator and the b-th lighting indicator. (a,b) ; ， Where j is the total number of the various historical cycles; r z (a,b) The correlation value between the a-th environmental indicator and the b-th lighting indicator within the z-th historical period; Obtain the data correlation values ​​of the a-th environmental indicator with each lighting indicator, and calculate the lighting criticality L of the a-th environmental indicator in the region to the lighting equipment. a : ， Among them, C (a,i) is the data correlation value between the a-th environmental indicator and the ith lighting indicator in the lighting equipment; n is the total number of lighting indicators in the lighting equipment; Step S14: When the lighting criticality level L a If the value is greater than the preset threshold for lighting criticality, then the environmental indicator a is determined to have lighting criticality for the lighting equipment. The environmental indicator a is then designated as a critical environmental indicator for the lighting equipment. All critical environmental indicators of the lighting equipment are acquired and aggregated to obtain the critical environmental data of the lighting equipment.

3. The smart park environmental data analysis method based on multi-source data according to claim 2, characterized in that, Step S2 includes: Step S21: Obtain key environmental data of the lighting equipment, and extract various key environmental indicators of the lighting equipment from the key environmental data; Step S22: Analyze the impact of key environmental indicators within the area on the lighting requirements of the lighting equipment under different numerical ranges. The specific analysis process is as follows: Obtain historical environmental monitoring records for each historical period in the area where the lighting equipment is located. Obtain data of various lighting indicators from the historical lighting records of the lighting equipment in the d-th historical period. When the values ​​of various lighting indicators of the lighting equipment in the historical time period t´ in the d-th historical period do not change, collect the values ​​of various lighting indicators in the historical time period t´ and record them as a certain lighting requirement mode of the lighting equipment. Step S23: Obtain the maximum and minimum values ​​of each key indicator in the historical period t´ from the historical environmental monitoring records of the area in the d-th historical period, construct the data range of each key environmental indicator in the historical period t´, obtain the data range of the key environmental indicators in the area under a certain lighting requirement mode, and record the historical period t´ as the characteristic historical period of a certain lighting requirement mode. Obtain the historical time periods corresponding to a certain lighting requirement mode, and obtain the data range of each key environmental indicator within each historical time period. Step S24: Take the union of the data ranges of a key environmental indicator within each characteristic historical period to obtain the target data range of a key environmental indicator in the area under a certain lighting requirement mode of the lighting equipment. The target data range of each key environmental indicator under a certain lighting requirement mode is obtained and aggregated to obtain the environmental range data of the lighting equipment under a certain lighting requirement mode. It is determined that each key environmental indicator in the area is within the environmental range data and has an impact on the certain lighting requirement mode of the lighting equipment. Step S25: Acquire various lighting requirement modes of the lighting equipment, acquire environmental range data under each lighting requirement mode and aggregate them to obtain lighting requirement mode data of the lighting equipment.

4. The smart park environmental data analysis method based on multi-source data according to claim 3, characterized in that, Step S4 includes: Step S41: Monitor the environment in the area where the lighting equipment is located, obtain environmental monitoring records for the area, and acquire the average value of each key environmental indicator in the environmental data; Step S42: Obtain the lighting requirement mode data of the lighting equipment, and obtain the environmental range data of each lighting requirement mode of the lighting equipment from the lighting requirement mode data; If the average values ​​of all key environmental indicators of the region in the current period are within the target data range of all key environmental indicators under the qth lighting requirement mode, then the qth lighting requirement mode is marked and recorded as the marked lighting requirement mode of the lighting equipment in the current period. Step S43: Obtain the marked lighting requirement patterns of the lighting equipment in the current period, and combine them with the lighting association data of the lighting equipment to evaluate the lighting requirements of the lighting equipment in the current period. The specific evaluation process is as follows: The lighting equipment is obtained from the lighting association data. The average value of each lighting indicator of each lighting equipment in the current period is obtained. Based on the average value of each lighting indicator of the lighting equipment in the current period, the lighting mode corresponding to each lighting equipment is obtained and recorded as the marked lighting mode of each lighting equipment in the current period. Step S44: When a certain associated lighting device’s marked lighting pattern in the current period has a lighting association with a certain marked lighting requirement pattern of the lighting device in the current period, the certain associated lighting device is recorded as the target associated lighting device corresponding to the certain marked lighting requirement pattern. Obtain each target associated lighting device of a certain marked lighting requirement pattern of the lighting device, and calculate the marked value H of the certain marked lighting requirement pattern: ， k is the total number of target-associated lighting devices corresponding to a certain marked lighting requirement mode of the lighting device; Q´ s The lighting association strength between a certain marked lighting requirement pattern and the marked lighting pattern of the s-th target-associated lighting device among the various target-associated lighting devices; Obtain the maximum value of the marker values ​​of each marked lighting requirement mode of the lighting device, and record the marked lighting requirement mode corresponding to the maximum value of the marker value as the target lighting requirement mode of the lighting device in the current period; The lighting of the lighting equipment is adjusted and controlled according to the values ​​of various lighting indicators in the target lighting requirement mode.

5. A smart park environmental data analysis system based on multi-source data, used to execute the smart park environmental data analysis method based on multi-source data as described in any one of claims 1-4, characterized in that, The system includes an environmental key identification module, a lighting requirement analysis module, a lighting correlation analysis module, and a lighting control module; The environmental key identification module is used to obtain historical lighting records of the lighting equipment, obtain historical environmental monitoring records of the area where the lighting equipment is located, identify the degree of importance of environmental indicators in the historical environmental monitoring records to the lighting of the lighting equipment, and obtain key environmental data. The lighting requirement analysis module is used to analyze the impact of key environmental indicators in the area on the lighting requirements of the lighting equipment under different numerical ranges, and to obtain the lighting requirement pattern data of the lighting equipment. The lighting association analysis module is used to analyze the lighting association status between the lighting device and other lighting devices under the lighting requirement mode in the lighting requirement mode data, and obtain lighting association data based on the lighting requirement mode data. The lighting control module is used to acquire environmental monitoring records of the area in the current period, and combine the lighting requirement mode data and the lighting correlation data to evaluate the lighting requirements of the lighting equipment in the current period, obtain the target lighting requirement mode, and adjust and control the lighting of the lighting equipment according to the target lighting requirement mode.

6. The smart park environmental data analysis system based on multi-source data according to claim 5, characterized in that, The environmental key identification module includes a recording and acquisition unit and an environmental key identification unit; The record acquisition unit is used to acquire historical lighting records of lighting equipment in the smart park and historical environmental monitoring records of the area where the lighting equipment is located. The environmental key identification unit is used to identify the degree of importance of environmental indicators in the historical environmental monitoring records to the lighting equipment based on the historical lighting records and the historical environmental monitoring records, and to obtain key environmental data.

7. The smart park environmental data analysis system based on multi-source data according to claim 5, characterized in that, The lighting requirement analysis module includes a data acquisition unit and a lighting requirement analysis unit; The data acquisition unit is used to acquire key environmental data of the lighting equipment and to acquire various key environmental indicators of the lighting equipment from the key environmental data. The lighting requirement analysis unit is used to analyze the impact of key environmental indicators in the area on the lighting requirements of the lighting equipment under different numerical ranges, and to obtain the lighting requirement pattern data of the lighting equipment.

8. The smart park environmental data analysis system based on multi-source data according to claim 5, characterized in that, The lighting correlation analysis module includes a time correlation analysis unit and a lighting correlation analysis unit; The time correlation analysis unit is used to analyze the correlation between the region and the lighting requirement patterns of lighting equipment under different historical time lengths, and obtain relevant historical time data; The lighting association analysis unit is used to analyze the lighting association status between the lighting equipment and other lighting equipment under the lighting requirement mode based on the relevant historical time data, and obtain lighting association data.

9. The smart park environmental data analysis system based on multi-source data according to claim 5, characterized in that, The lighting control module includes a lighting requirement assessment unit and a lighting control unit; The lighting requirement assessment unit is used to acquire environmental monitoring records of the area where the lighting equipment is located in the current period, and combine the lighting requirement pattern data and lighting correlation data of the lighting equipment to assess the lighting requirement status of the lighting equipment in the current period, and obtain the target lighting requirement pattern of the lighting equipment. The lighting control unit is used to adjust and control the lighting of the lighting equipment in the smart park according to the target lighting requirement mode.

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