A method of data collection and analysis of multiple street lamps based on centralized controller

Abstract

The present invention provides a method for collecting and analyzing data of multiple street lamps based on a centralized controller, which relates to the field of intelligent measurement. Through grouping control, centralized data collection and dynamic analysis of street lamps, intelligent monitoring and fault detection of the operating status of street lamps are realized. The method groups street lamps based on the connection relationship of the power distribution network, controls the switching operation of each street lamp group through a centralized controller, and collects operating data such as current, voltage, and load. For street lamps with abnormal operation, accurate fault detection results are generated through multiple data collection and trend analysis. The present invention further proposes a method for dynamically adjusting the grouping strategy and delay time, which improves the accuracy of data collection and detection efficiency. The present invention can realize comprehensive monitoring of the operating status of street lamps in complex environments under the condition of limited hardware cost, and is particularly suitable for the management and maintenance of urban intelligent lighting systems.

Description

Technical Field

[0001] The present invention relates to the field of intelligent measurement, and in particular to a method for collecting and analyzing multi-way street lamp data based on a centralized controller. Background Art

[0002] With the increase in the number of urban street lights and the complexity of the use environment, the monitoring of street light operation status and fault detection have become particularly important. At present, traditional methods mainly rely on manual inspections or technical means of single parameter collection, but these methods generally have problems such as low detection efficiency, high misjudgment rate and high maintenance cost. Existing automated detection methods based on data collection usually require a large number of sensors or additional hardware support, resulting in increased system hardware costs. In addition, in the face of complex lines, coexistence of multiple types of street lights, and environmental interference, existing technologies are difficult to achieve accurate and efficient operation status monitoring and abnormal location. These problems put forward higher requirements on the reliability and operation and maintenance of intelligent street light systems.

[0003] For example, a Chinese patent application with authorization announcement number CN109188201B discloses a method for safely and quickly finding street light line faults. This method locates the grounding fault point of the street light line by measuring the change in zero-sequence current, which can improve the efficiency of fault finding to a certain extent. However, this technology is mainly suitable for the detection of line grounding faults, and it needs to rely on external capacitors and zero-sequence current changes as the basis for analysis. It has limited capabilities for detecting non-grounding faults and monitoring the comprehensive operating status of street lights. In addition, its technical method lacks flexibility in fault location in complex environments, and it is difficult to meet the needs of modern intelligent street light systems for real-time monitoring and multi-dimensional data analysis.

[0004] The above method has the problem raised by this background technology, that is, it fails to effectively realize comprehensive monitoring and abnormal detection of the operating status of multiple street lamps. Especially when the hardware cost is limited and the environment is complex and changeable, the existing technology cannot take into account both accuracy and system intelligence. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a method for collecting and analyzing multi-way street lamp data based on a centralized controller, the method comprising:

[0006] The plurality of street lamps are grouped based on the power distribution network connection relationship of the street lamps, and the street lamps connected to the same power distribution node are divided into the same street lamp group; wherein each street lamp group includes at least two street lamps;

[0007] Using a centralized controller to control the turning on and / or off of each of the street lamps in the street lamp group, and collecting the operation data of each of the street lamps; wherein the time interval between the turning on and off operations of each of the street lamps in each of the street lamp groups is a first delay;

[0008] Based on the operation data, determining the operation status of the street lamp, and marking the street lamp with abnormal operation as a street lamp to be verified; the operation data includes: current data, voltage data, and load data;

[0009] For the street lamp to be verified, collecting the operation data again when the street lamp is switched on and off next time;

[0010] Based on the two most recent operating data of the street lamp to be verified, the detection result information of the street lamp to be verified is generated.

[0011] As an optional implementation manner, the collecting the operation data of each of the street lamps includes:

[0012] Based on the total operation data of the street lamp group and the first delay, determining the change information of the total operation data when each of the street lamps is turned on or off;

[0013] Based on the change information of the total operation data, the operation data of each of the street lamps is determined.

[0014] As an optional implementation manner, determining the operating state of the street lamp based on the operating data and marking the street lamp with abnormal operation as a street lamp to be verified includes:

[0015] The operating data of each street lamp is compared with the standard operating data. In response to the deviation between the operating data and the standard operating data being greater than a set range, the operating state of the street lamp is determined to be abnormal, and the street lamp is marked as a street lamp to be verified.

[0016] As an optional implementation manner, the generating the detection result information of the street lamp to be verified based on the latest two operation data of the street lamp to be verified includes:

[0017] Performing difference analysis on the two most recent operating data of the street lamp to be verified to identify abnormal features;

[0018] In response to the consistency of abnormal features of the two operation data, it is determined that the street lamp to be verified has a fault, and corresponding detection result information is generated.

[0019] As an optional implementation manner, the generating the detection result information of the street lamp to be verified based on the latest two operation data of the street lamp to be verified further includes:

[0020] In response to the inconsistency of abnormal features of the two operation data, marking the street lamp to be verified as a street lamp to be reviewed;

[0021] For the street lamp to be reviewed, collecting the operating data of the street lamp twice again;

[0022] Based on the latest four operation data of the street lamp to be reviewed, the detection result information of the street lamp to be verified is generated.

[0023] As an optional implementation manner, the following steps are performed when generating the detection result information of the street lamp to be verified based on the latest four operation data of the street lamp to be reviewed:

[0024] Performing trend analysis on the latest four operation data of the street lamp to be reviewed to generate an initial trend analysis result;

[0025] Continue to collect at least two operation data of the street lamp to be reviewed, and after obtaining the latest six operation data, perform secondary trend analysis to generate secondary trend analysis results;

[0026] Comparing the initial trend analysis result with the secondary trend analysis result to determine whether the trends are consistent;

[0027] In response to the two trend analysis results being consistent and satisfying the preset fault determination condition, determining that the street lamp to be reviewed has a fault, and generating corresponding detection result information;

[0028] In response to the two trend analysis results being inconsistent or not meeting the preset fault judgment condition, the operation data continues to be collected, trend analysis and comparison are performed until the preset termination condition is met, and the final detection result is output.

[0029] As an optional implementation, it also includes:

[0030] For the street lamp group where the street lamp to be verified is located, regrouping is performed based on the operation data of each street lamp to divide at least two street lamp groups; wherein the regrouped street lamp group includes at least four street lamps;

[0031] The generating the detection result information of the street lamp to be verified also includes: generating the detection result information of the street lamp to be verified based on the two most recent operation data of the street lamp to be verified before regrouping and the two most recent operation data after regrouping.

[0032] As an optional implementation manner, the generating of the detection result information of the street lamp to be verified based on the latest four operation data of the street lamp to be reviewed further includes:

[0033] Before each trend analysis, the street lamps to be verified are regrouped.

[0034] As an optional implementation, the method further includes:

[0035] Based on the operating data of the street lamp, determining the signal stabilization time required after each switch operation;

[0036] The first delay is dynamically adjusted based on the signal stabilization time and external environmental factors.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows: through the street lamp grouping strategy based on the power distribution network, efficient collection and distributed management of street lamp operation data are realized, and the system hardware cost is reduced. By using a centralized controller and adopting a dynamic delay time control strategy, the interference of switch operations on the power supply network can be effectively reduced, and the accuracy of data collection is improved. Through difference analysis and trend analysis methods, the present invention can accurately identify the abnormal operating status of street lamps and generate multiple verification results, thereby greatly reducing the misjudgment rate and missed judgment rate. Dynamic adjustment of the grouping strategy further optimizes the fault location capability in complex scenarios, allowing the system to respond flexibly in a variety of operating environments. Compared with traditional technical solutions that rely on external devices or single data analysis, the present invention realizes intelligent fault detection and efficient operation monitoring while ensuring operational safety, thereby reducing detection costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A flow chart of a method for collecting and analyzing multi-way street lamp data based on a centralized controller provided in an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of a centralized controller provided by an embodiment of the present invention;

[0040] Figure 3 A flow chart of a method for generating detection result information of a street lamp to be verified provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0042] The present invention provides a method for collecting and analyzing data of multiple street lamps based on a centralized controller, which realizes monitoring of the operating status of street lamps and abnormal marking through grouping, centralized control, and collection and analysis of operating data of street lamps.

[0043] See also Figure 1 As shown, it is a flow chart of a method for collecting and analyzing multi-way street lamp data based on a centralized controller provided by an embodiment of the present invention, the method includes S101 to S105, wherein:

[0044] S101: Grouping a plurality of street lamps based on the power distribution network connection relationship of the street lamps, wherein street lamps connected to the same power distribution node are divided into the same street lamp group; wherein each of the street lamp groups includes at least two of the street lamps;

[0045] S102: Using a centralized controller to control the turning on and / or off of each of the street lamps in the street lamp group, and collecting operation data of each of the street lamps; wherein the time interval between the turning on and off operations of each of the street lamps in each of the street lamp groups is a first delay;

[0046] S103: Based on the operation data, determine the operation status of the street lamp, and mark the street lamp with abnormal operation as a street lamp to be verified; the operation data includes: current data, voltage data, and load data;

[0047] S104: for the street lamp to be verified, collecting the operation data again when the street lamp is switched on and off next time;

[0048] S105: Generate detection result information of the street lamp to be verified based on the latest two operation data of the street lamp to be verified.

[0049] Regarding S101 above:

[0050] In a specific implementation, the grouping of street lamps is determined based on the connection relationship of the distribution network. First, determine the distribution node where each street lamp is located. The distribution node can be a transformer, a distribution box, or other power supply unit; then, all street lamps connected to the same distribution node are divided into a street lamp group. For example, in a certain area, street lamps A, B, and C are connected to the same distribution box, so they are divided into a street lamp group; each street lamp group contains at least 2 street lamps. If the number of street lamps under a distribution node is less than 2, they can be classified into the nearest neighboring group to ensure the feasibility of collaborative operations within the group.

[0051] It should be emphasized that the implementation of street lamp grouping is determined based on the physical electrical connection relationship of each street lamp. The present invention aims to perform regrouping based on the technical solution requirements under the premise of following the physical electrical connection relationship of each street lamp.

[0052] For example, if 1,000 street lamps are connected in the physical structure of a total electrical circuit, the present invention can be applied to regroup these 1,000 street lamps to further detect and locate problems, such as dividing the 1,000 street lamps into 3 routes, and subsequently further regrouping each route of street lamps, as well as possible dynamic adjustments after grouping.

[0053] It is understandable that the above description is only an example, and in a possible implementation scenario, the number of street lamps in a street lamp group may be dozens or hundreds, and in this case, the present invention is also applicable.

[0054] Regarding S102 above:

[0055] In a specific implementation, the present invention centrally controls the streetlights in each streetlight group through a centralized controller. When the controller issues a command to turn on or off the streetlight group, the streetlights in the group will perform switching operations one by one in a preset order; a time interval "first delay" is set between the switching operations, which is used to reduce the power fluctuation interference caused by the streetlight switching, and facilitates the collection of single lamp operation data.

[0056] The centralized controller is an electronic device used to manage the switch operation, data collection and analysis of the street light group. Its functions may include:

[0057] Issue the switch command of the street light to ensure that the switch operation in the street light group is carried out in the predetermined delay sequence;

[0058] Collect operating data of street lamps (including current, voltage and load data);

[0059] The collected operating data is analyzed to mark abnormal street lights and adjust the time delay of switch operation when necessary.

[0060] The centralized controller can exchange data with the street lamps through wired communication (such as power carrier) or wireless communication (such as 4G, ZigBee, and Wi-Fi, etc.), and its hardware may include an embedded processing unit, a communication module, and a storage module.

[0061] For example, see Figure 2 As shown, it is a schematic diagram of a centralized controller provided in an embodiment of the present invention. The centralized controller may include: a communication module 10, a data acquisition module 20, a data processing module 30, a storage module 40, a control module 50, and a power module 60.

[0062] The communication module 10 is used to exchange data with the street lamp, and can send switch control instructions and receive street lamp operation data. The communication module 10 can use wireless communication technology (such as 4G, ZigBee, and Wi-Fi, etc.) or wired communication technology (such as power carrier communication).

[0063] The data acquisition module 20 is responsible for processing the received operation data, including converting analog signals into digital signals. The data acquisition module 20 has a built-in multi-channel analog-to-digital converter (ADC), which can collect the current, voltage and load data of the street lamp in real time and convert them into digital signals for analysis. For example, when the street lamp is turned on, the data acquisition module 20 can collect its instantaneous current value and steady-state operating current value, and pass them to the data processing module 30.

[0064] The data processing module 30 is the core computing module of the centralized controller and is responsible for performing operations such as operation status analysis, anomaly detection, and delay adjustment. The data processing module 30 can be implemented using an embedded microprocessor or a high-performance system on chip (SoC). For example, an STM32 series microcontroller is used to run a built-in anomaly detection algorithm to compare the street lamp operation data with the standard operation data to determine whether there is a fault, and adjust the first delay time of the street lamp according to the analysis results.

[0065] The storage module 40 is used to store information such as operation data, control parameters and test results. The storage module 40 can be a Flash memory, an EEPROM or an external storage device (such as an SD card). For example, during the operation of the street light system, the centralized controller will store the operation data of the last 10 switch operations in the Flash memory for trend analysis or historical data backtracking.

[0066] The control module 50 is used to generate and send a switch control instruction to ensure that the street lamps perform the switch operation in the sequence of the set delay time. For example, when controlling the street lamp group to turn on, the control module 50 will generate a switch signal according to the set first delay time, and turn on each street lamp in the group in turn, thereby avoiding power shock caused by turning on multiple street lamps at the same time.

[0067] The power module 60 provides a stable power supply for each functional module of the centralized controller. The power module 60 can convert 220V AC power into DC power, such as 5V or 12V, through an AC-DC conversion circuit to meet the operating requirements of the communication module, data acquisition module, and data processing module.

[0068] As an optional implementation manner, the collecting the operation data of each of the street lamps includes:

[0069] Based on the total operation data of the street lamp group and the first delay, determining the change information of the total operation data when each of the street lamps is turned on or off;

[0070] Based on the change information of the total operation data, the operation data of each of the street lamps is determined.

[0071] The present invention collects the operation data of the street lamp group through a centralized controller, and performs change analysis on the total operation data based on the time interval of the switch operation, so as to determine the operation data of each street lamp in the group.

[0072] In a specific implementation, first, in each street light group, the centralized controller sequentially controls the switching operation of the street lights in the group with a preset first delay. The time range of the first delay can be set according to the actual operating characteristics of the street light group. For example, for a 120W LED street light group, the first delay can be set to 1 to 3 seconds.

[0073] When a street lamp in the group is switched on or off, the centralized controller collects the total operation data of the street lamp group in real time. The total operation data includes the total values ​​of parameters such as current, voltage and power generated by all street lamps in the group at the same time.

[0074] It is understandable that the commonly used connection method for street lamps at present is parallel connection, so in the process of switching on and off each street lamp in turn, there may not be a significant change in voltage.

[0075] For example, in the middle of the night, the street lights in a certain area need to be turned off. The centralized controller first divides the street lights in the area into three routes, A, B, and C, with 50 street lights in each route. At this time, the total power of the area is 18 kilowatts. When route A is turned off, the centralized controller measures that the total power of the area has become 13 kilowatts, so the power corresponding to route A is 5 kilowatts. Similarly, the power corresponding to route B can be measured to be 6 kilowatts, and the power corresponding to route C is 7 kilowatts. In this way, the measured operation data of each route can be compared with the designed operation data to determine which route has an abnormality.

[0076] For example, the total power of Road A is measured to be 5 kilowatts, which deviates from the design power of Road A by more than the tolerance value of 10%. Then, the grouping as described above can be further performed in Road A, and the 50 street lamps in Road A can be further divided into multiple street lamp groups.

[0077] Similarly, the current data of each street lamp can also be measured in the above manner.

[0078] Similarly, if the street lamps are not connected in series, the voltage data can also be measured in the above manner.

[0079] In this way, the operation data of a single street lamp can be inferred from the change information of the total operation data without adding additional sensors, thereby reducing the hardware cost of the system. At the same time, the data collection method of the present invention is completed within each first delay interval of the switch operation, which can effectively avoid mutual interference between the operation states of the street lamps in the group and ensure the accuracy of the operation data.

[0080] Regarding S103 above:

[0081] In a specific implementation, after measuring the operating data of each street lamp, the operating data of each street lamp can be compared with the standard operating data to confirm the operating status of each street lamp, screen out street lamps with abnormal operation, and mark them as street lamps to be verified.

[0082] As an optional implementation, determining the operating status of the street lamp based on the operating data and marking the street lamp with abnormal operation as a street lamp to be verified includes: comparing the operating data of each street lamp with standard operating data, and in response to a deviation between the operating data and the standard operating data being greater than a set range, determining that the operating status of the street lamp is abnormal, and marking the street lamp as a street lamp to be verified.

[0083] In a specific implementation, there may be a set range when comparing the operating data of each street lamp with the standard operating data. If the deviation between the operating data and the standard operating data is within this set range, the operating status of the street lamp can be regarded as normal. Once it exceeds this set range, the operating status of the street lamp will be regarded as abnormal.

[0084] Regarding S104 above:

[0085] For street lamps marked as pending verification, their operating status needs to be further confirmed. The centralized controller will collect the operating data of the pending verification street lamps in the next control operation to complete the verification.

[0086] In a specific implementation, the centralized controller first records the streetlight group information and marking result of the streetlight to be verified. Thereafter, when the streetlight group performs the next switch operation, the centralized controller sequentially operates each streetlight in the streetlight group according to the set first delay. For the streetlight to be verified, when it performs the switch operation, the centralized controller will focus on collecting its operating data, such as: current value, voltage value and load value.

[0087] In order to improve the accuracy of the collected data, the centralized controller will wait for the signal to stabilize after the switch operation is completed to ensure that the collected operating data is not affected by the instantaneous interference of the switch. For example, when the street lamp to be verified is a 120W LED street lamp, the centralized controller collects the current value of 0.55A and the voltage value of 220V after it is lit, and calculates its load power as 0.55A × 220V = 121W. This data is recorded as the operating data of its next switch operation.

[0088] At the same time, for comparison and verification, the centralized controller will store the currently collected operating data in the storage module 40, and use it together with the operating data of the previous switch operation as input data to provide a basis for the subsequent generation of detection result information.

[0089] Regarding the above S105:

[0090] In a specific implementation, the centralized controller compares the operating data collected in the above S104 and the relevant information when marking the street lamp to be verified in the above S103 with the standard operating data, thereby generating the final detection result information.

[0091] The centralized controller first calls the mark record of the street lamp to be verified from the storage module 40, including the operation data (such as current value, load value) when the street lamp is judged abnormal in S103 and the corresponding abnormal type (such as low load, excessive current). Then, combined with the operation data collected during the next switch operation of the street lamp in S104, the centralized controller compares them with the standard operation data respectively and performs secondary verification.

[0092] Exemplarily, the secondary verification logic of the centralized controller includes the following steps:

[0093] Compare the operating data collected in S104 with the standard operating data. For example:

[0094] If the rated power of a street lamp is 120W and the current is 0.55A, the operation data recorded by the centralized controller in S104 is load 110W and current 0.5A;

[0095] Centralized controller calculates current deviation value and power deviation :

[0096]

[0097] If the allowable deviation range is load ±10W and current ±0.1A, the above data deviation is within the set range and is judged to be normal.

[0098] If the deviation between the operating data in S104 and the standard operating data exceeds the set range, the centralized controller determines it as abnormal and generates fault detection result information according to the abnormality type. For example:

[0099] If the load value of the street lamp is low, the centralized controller can generate the following detection result information: street lamp number, detection time, abnormality type, and recommended measures.

[0100] In a specific implementation, after completing the secondary verification, the centralized controller stores the generated test result information in the storage module 40, and sends it to the management terminal through the communication module 10 for reference by the operation and maintenance personnel. The test result information includes the following:

[0101] Street light number: the unique identification of the street light to be verified;

[0102] Detection time: the timestamp of this detection;

[0103] Operation status: including normal or abnormal;

[0104] Abnormal type: for example, "low load", "excessive current";

[0105] Suggested actions: For example, "Adjust the supply voltage" or "Check the line connections".

[0106] Through secondary verification, the present invention can effectively reduce the misjudgment rate, ensure that the generated detection result information is accurate, and provide a reliable basis for subsequent operation and maintenance work.

[0107] As an optional implementation manner, it is characterized in that the generating the detection result information of the street lamp to be verified based on the latest two operation data of the street lamp to be verified includes:

[0108] Performing difference analysis on the two most recent operating data of the street lamp to be verified to identify abnormal features;

[0109] In response to the consistency of abnormal features of the two operation data, it is determined that the street lamp to be verified has a fault, and corresponding detection result information is generated.

[0110] In a specific implementation, the present invention determines whether a street lamp is faulty by identifying the consistency of abnormal features and generates detection result information. Specifically, the centralized controller first retrieves the two most recent operation data of the street lamp to be verified from the storage module 40. The first operation data comes from the data collected when the street lamp is marked as the street lamp state to be verified, such as the current value and the load value; the second operation data comes from the collection result of the street lamp at the next switch operation. The centralized controller performs a difference analysis on the two operation data, calculates the deviation value of the operation data and extracts possible abnormal features. For example, for an LED street lamp with a rated power of 120W, the current collected in the first operation data is 0.5A and the load is 110W; the second operation data is 0.5A and the load is 118W. Based on these two data, the centralized controller calculates the deviation values ​​of the current and load respectively, and compares them with the preset normal range. Assuming that the allowable deviation of the current is ±0.1A and the allowable deviation of the load is ±10W, the deviation values ​​of the two operation data are within the normal range, then the centralized controller believes that the abnormal feature of the street lamp is not significant.

[0111] Next, the centralized controller further analyzes whether the abnormal characteristics of the two operation data are consistent. If the abnormal characteristics in the two data are the same type, such as insufficient load, the centralized controller determines that the street lamp is faulty and generates detection result information, including the street lamp number, detection time, abnormal type and recommended measures.

[0112] When the abnormal characteristics of the two data are inconsistent, for example, the first display shows insufficient current and the second display shows normal load, the centralized controller considers the abnormality to be occasional interference or a more complex problem, and will not determine it as a fault for the time being, but will continue to observe the operating status of the street lamp.

[0113] After the detection result information is generated, the centralized controller will store the information in the storage module 40 and send it to the management terminal through the communication module 10. The operation and maintenance personnel can quickly understand the status of the faulty street lamp and the corresponding recommended treatment measures based on the detection result information, thereby improving the maintenance efficiency of the system. Through the above method, the present invention can accurately determine the consistency of abnormal characteristics and improve the accuracy and reliability of fault detection.

[0114] As an optional implementation manner, the generating the detection result information of the street lamp to be verified based on the latest two operation data of the street lamp to be verified further includes:

[0115] In response to the inconsistency of abnormal features of the two operation data, marking the street lamp to be verified as a street lamp to be reviewed;

[0116] For the street lamp to be reviewed, collecting the operating data of the street lamp twice again;

[0117] Based on the latest four operation data of the street lamp to be reviewed, the detection result information of the street lamp to be verified is generated.

[0118] The present invention further provides a method for performing multiple re-inspections and comprehensive analysis on street lamps to be verified with inconsistent abnormal characteristics.

[0119] When the centralized controller performs a difference analysis on the two most recent operating data of the street lamp to be verified, if it detects that the abnormal characteristics of the two operating data are inconsistent, for example, the first operating data shows that the load is insufficient, while the second operating data shows that the current is too high, the centralized controller will not immediately determine that the street lamp is in a normal or faulty state, but will mark the street lamp as a street lamp to be reviewed. The status record of the street lamp to be reviewed will be stored in the storage module 40 of the centralized controller, and the marking information includes its number, the two operating data and the relevant abnormal type.

[0120] For street lamps marked as those to be reviewed, the centralized controller will collect the operating data of the street lamp again during the next two switching operations to form the latest four operating data of the street lamp. Each operation data collection is carried out according to the set process, including recording the current value, load value and stable state of the street lamp after the switching operation is completed. By summarizing and analyzing the four operation data, the centralized controller can more comprehensively evaluate the operating status of the street lamp.

[0121] In the specific implementation, the centralized controller compares the differences between the four operation data with the standard operation data, and calculates the change trend of the operation data in the time dimension to determine the stability of the abnormal characteristics.

[0122] For example, the four operating data of a street lamp to be reviewed are: the first operating data shows that the load is insufficient; the second operating data shows that the current is too high; the third operating data shows that the load is normal; the fourth operating data shows that the current is insufficient. The centralized controller found through analysis that the abnormal characteristics of the load and current appear alternately and do not show a consistent trend of change, which may be caused by external interference or occasional failures. At this time, the centralized controller can mark the street lamp as uncertain and recommend that the operation and maintenance personnel conduct further on-site inspections. If the abnormal characteristics in the four operating data are consistent, for example, they all show insufficient load, the centralized controller will determine that the street lamp is faulty, generate detection result information, prompt that the fault type is insufficient load, and recommend checking the power connection or replacing the light source equipment.

[0123] In this way, the present invention can effectively improve the reliability of fault detection through multiple reviews and comprehensive analysis when abnormal characteristics are inconsistent, avoid misjudgment due to occasional abnormalities, and provide more accurate technical support for the stable operation of the intelligent street lamp system.

[0124] See also Figure 3 , which is a flow chart of a method for generating detection result information of a street lamp to be verified provided by an embodiment of the present invention.

[0125] As an optional implementation, when generating the detection result information of the street lamp to be verified based on the latest four operation data of the street lamp to be reviewed, S201 to S204 are performed:

[0126] S201: performing trend analysis on the latest four operation data of the street lamp to be reviewed, and generating an initial trend analysis result;

[0127] S202: Continue to collect at least two operation data of the street lamp to be reviewed, and after obtaining the latest six operation data, perform secondary trend analysis to generate secondary trend analysis results;

[0128] S203: Compare the initial trend analysis result and the secondary trend analysis result to determine whether the trends are consistent;

[0129] S204a: In response to the two trend analysis results being consistent and satisfying the preset fault determination condition, determining that the street lamp to be reviewed has a fault, and generating corresponding detection result information;

[0130] S204b: In response to the two trend analysis results being inconsistent or not meeting the preset fault determination condition, continue to collect the operating data, perform trend analysis and comparison until the preset termination condition is met, and output the final detection result.

[0131] The present invention further optimizes the analysis process for multiple operation data of the street lamp to be reviewed, and improves the accuracy of fault detection through trend analysis and result comparison.

[0132] In the specific implementation, when generating the detection result information of the street lamp to be verified, the centralized controller first performs trend analysis on the latest four operation data of the street lamp to be reviewed to generate the initial trend analysis result. The purpose of trend analysis is to compare the four operation data in time series to determine the change direction and law of the operation parameters.

[0133] For example, the last four operating currents of a street lamp were 0.54A, 0.52A, 0.50A and 0.48A respectively. The centralized controller generates trend analysis results based on these data, indicating that the current value is showing a continuous downward trend, which may reflect insufficient power supply to the street lamp.

[0134] After completing the initial trend analysis, the centralized controller will continue to collect the operation data of the street lamp at least twice to form the latest six operation data. For these six operation data, the centralized controller will perform trend analysis again to generate secondary trend analysis results.

[0135] For example, if the two newly added operating currents are 0.46A and 0.44A, the secondary trend analysis results also show that the current value continues to decrease, which is consistent with the initial trend analysis results.

[0136] The centralized controller compares the results of the initial trend analysis with the results of the secondary trend analysis to determine whether the change trends of the operating data are consistent. If the results of the two trend analyses are consistent, for example, both show a unidirectional change in the operating parameters (such as a continuous decrease or increase), and meet the preset fault judgment conditions (such as the current decrease exceeds 20% of the rated value), the centralized controller determines that the street lamp has a fault, generates the corresponding detection result information, and records the fault type and recommended treatment measures.

[0137] Taking the above example as an example, if the current drops by more than 20% of the rated value, the centralized controller can determine that the power supply is insufficient and recommend checking the distribution line or replacing the light source equipment.

[0138] If the result of the initial trend analysis is inconsistent with the result of the secondary trend analysis, for example, the initial analysis shows that the current is decreasing, while the secondary analysis shows that the current is stable, or both analyses fail to meet the fault judgment conditions, the centralized controller will not immediately determine that the street lamp has a fault, but will continue to collect the operating data of the street lamp to form more time series data, repeat the trend analysis and result comparison until the preset termination conditions are met.

[0139] The termination conditions may include the upper limit of the number of times the operation data is collected or the analysis results reach a stable state. For example, if the centralized controller collects operation data ten times and the trend analysis results are still inconsistent, the centralized controller may generate the final detection result information as "uncertain status" and recommend the operation and maintenance personnel to conduct on-site inspection.

[0140] In this way, the present invention can improve the accuracy and reliability of fault judgment based on multiple data collection and trend analysis. Especially in the case of complex abnormal characteristics or large occasional interference, the present invention effectively avoids the occurrence of misjudgment through multiple analyses and comprehensive comparisons, and provides accurate technical guidance for subsequent operation and maintenance.

[0141] As an optional implementation, the grouping strategy further includes:

[0142] For the street lamp group where the street lamp to be verified is located, regrouping is performed based on the operation data of each street lamp to divide at least two street lamp groups; wherein the regrouped street lamp group includes at least four street lamps;

[0143] The generating the detection result information of the street lamp to be verified also includes: generating the detection result information of the street lamp to be verified based on the two most recent operation data of the street lamp to be verified before regrouping and the two most recent operation data after regrouping.

[0144] The present invention further provides a method for dynamically adjusting the grouping strategy based on street lamp operation data to optimize the accuracy and scope of fault detection. When the centralized controller detects that a street lamp to be verified exists in a street lamp group, the street lamp group can be regrouped based on the operation data of each street lamp to divide at least two new street lamp groups. The core of the regrouping is to dynamically adjust the grouping strategy based on the similarity or difference of the street lamp operation data so as to narrow the detection range or highlight the abnormal characteristics of a specific area.

[0145] In a specific implementation, the centralized controller first calls all the operating data of the street lamp group where the street lamp to be verified is located from the storage module 40, including the current value, load value and historical operating status of each street lamp. After analyzing these data, the centralized controller re-divides the street lamp group according to the preset grouping rules. Taking a street lamp group A as an example, assuming that it contains 8 street lamps, the operating data analysis results show that the operating status of 4 of them is significantly different from the remaining 4 street lamps. For example, the street lamps with low current values ​​are B1, B2, B3 and B4, and the street lamps with low load values ​​are C1, C2, C3 and C4. The centralized controller can regroup them into two groups, namely Group B and Group C, each group containing at least 4 street lamps.

[0146] After completing the regrouping, the centralized controller will perform fault detection on each newly grouped street light group. During this process, for each street light group, the centralized controller collects operating data and generates corresponding detection result information. For example, for the two most recent operating data before regrouping and the two most recent operating data after regrouping, the centralized controller can comprehensively judge the operating status of the street lights in each new group through the above-mentioned difference analysis, trend analysis and other methods. If the operating data within a street light group shows a high consistency in abnormal characteristics, the centralized controller can directly generate the fault detection result information for the group of street lights. For street light groups with scattered or inconsistent abnormal characteristics, the centralized controller can continue to refine the analysis, or prompt the operation and maintenance personnel to conduct a key inspection of the group of street lights.

[0147] By dynamically adjusting the grouping strategy, the present invention can effectively narrow the detection range and improve the ability to locate complex faults.

[0148] For example, in an urban lighting system, when a street lamp group causes multiple faults due to line aging or equipment differences, the centralized controller uses a regrouping strategy to focus the fault points to a specific area, reducing the possibility of misjudgment or missed judgment. At the same time, the flexibility of the regrouping strategy makes it suitable for street lamp groups of different sizes, whether it is a small group containing only a few street lamps or a large group containing dozens of street lamps.

[0149] Finally, the centralized controller generates the detection result information of the street lamp to be verified based on the operating data before and after regrouping, including abnormal characteristics, fault types and recommended treatment measures.

[0150] For example, if the regrouping test results of a street lamp group show that group C has a serious underload phenomenon, it is recommended that the operation and maintenance personnel check the power supply line of the group; if the current fluctuation of group B is abnormal, it may indicate aging or damage of the light source equipment.

[0151] As an optional implementation manner, the generating of the detection result information of the street lamp to be verified based on the latest four operation data of the street lamp to be reviewed further includes:

[0152] Before each trend analysis, the street lamps to be verified are regrouped.

[0153] Among them, the present invention further optimizes the process of generating detection result information based on operation data, and improves the accuracy of trend analysis and fault detection by dynamically regrouping the street lamps to be verified before each trend analysis. When generating the detection result information of the street lamps to be verified, the centralized controller will combine the latest four operation data of the street lamps to be reviewed, and before performing trend analysis, dynamically regroup the street lamp groups to which the street lamps to be verified belong based on the latest features of the operation data.

[0154] In the specific implementation, the centralized controller first collects and records the latest four operating data of the street lamp to be verified, including operating parameters such as current value, load value and voltage. Then, the centralized controller conducts a preliminary analysis of these data to identify their correlation with the operating status of other street lamps in the same group. For example, in a certain street lamp group, the operating current fluctuation range of the street lamp to be verified is relatively close to the data of some street lamps in the same group, but the data of other street lamps is significantly different. In this case, the centralized controller will re-classify the street lamps with similar operating data into a new street lamp group based on the latest operating characteristics.

[0155] After completing the regrouping, the centralized controller performs trend analysis on the streetlights in the new streetlight group. For example, for a new group, the current values ​​of the streetlights to be verified in the four operation data are 0.54A, 0.52A, 0.50A and 0.48A. The centralized controller can analyze that the current value shows a continuous downward trend. The regrouping strategy can effectively reduce the interference between the data of streetlights with different fault types, making the trend analysis more accurate. For example, the original large group may have streetlights with insufficient current and excessive load at the same time. Through regrouping, these two types of abnormal characteristics are respectively classified into different groups, avoiding mutual interference and improving the accuracy of trend analysis.

[0156] After the trend analysis is completed, the centralized controller will continue to collect the operating data of the street lamps to be verified and perform dynamic regrouping again to update the grouping strategy. In this way, the actual problems of the street lamps to be verified can be gradually focused on on the basis of continuously supplementing data and adjusting grouping.

[0157] For example, a street lamp was initially classified into the "insufficient current" group, but subsequent operating data showed that its load value was significantly abnormal. After dynamic regrouping, the street lamp was classified into the "excessive load" group, thereby more accurately locating its abnormal characteristics.

[0158] In this way, by dynamically adjusting the grouping strategy before each trend analysis, the present invention can effectively improve the accuracy of fault detection in complex street lamp systems, especially for street lamps with large fluctuations in operating data or complex abnormal characteristics. The method of the present invention avoids the problem of misjudgment or missed judgment that may be caused by a fixed grouping strategy, and at the same time optimizes the input data of trend analysis by regrouping, so that the detection results are more in line with the actual operating status.

[0159] As an optional implementation, the method further includes:

[0160] Based on the operating data of the street lamp, determining the signal stabilization time required after each switch operation;

[0161] The first delay is dynamically adjusted based on the signal stabilization time and external environmental factors.

[0162] Among them, the present invention further optimizes the collection and analysis method of street lamp operation data, and improves the accuracy of operation data collection and the accuracy of fault detection by dynamically adjusting the first delay.

[0163] In a specific implementation, the centralized controller determines the signal stabilization time required after each switch operation based on the operating data of the street lamp, and dynamically adjusts the first delay based on the signal stabilization time and external environmental factors. After the street lamp is switched on and off, its operating state and power supply parameters may undergo a short transition process, such as transient changes in current and voltage and transient fluctuations in load. In order to ensure that the collected operating data is accurate and reliable, the centralized controller needs to start collecting data only after the signal reaches a stable state. The signal stabilization time refers to the time required from the time the street lamp performs a switch operation to the time when its operating parameters tend to stabilize. This time can be dynamically adjusted based on historical operating data and actual detection conditions.

[0164] For example, for a 120W LED street light, the current stabilization time after switching is usually within 1 to 2 seconds. The centralized controller will calculate the optimal stabilization time under the current environment by analyzing the attenuation of the current fluctuation amplitude in the historical operating data.

[0165] On the basis of determining the signal stabilization time, the centralized controller will also dynamically adjust the first delay in combination with external environmental factors, which may include ambient temperature, power grid fluctuations, and line load conditions.

[0166] For example, under low temperature conditions, the starting current of LED street lights may be higher, and the stabilization time may increase accordingly; in the case of frequent power grid fluctuations, in order to avoid interference with data collection, the centralized controller may extend the first delay to ensure signal stability. In addition, in areas with heavy power line loads, the adjustment of the first delay may need to consider load balancing requirements to avoid current shock caused by switching multiple street lights on and off at the same time.

[0167] Exemplarily, the specific method of dynamically adjusting the first delay includes: the centralized controller calculates the signal stabilization time under the current conditions by real-time analysis of the collected operating data, and compares the stabilization time with the preset delay range. If the signal stabilization time exceeds the preset upper limit of the delay range, the centralized controller will extend the first delay; if the signal stabilization time is lower than the preset lower limit of the delay range, the first delay will be appropriately shortened. For example, in a certain street lamp group, the initial setting of the first delay is 2 seconds, but after analyzing the operating data, it is found that the actual stabilization time is only 1.5 seconds, then the centralized controller adjusts the first delay to 1.5 seconds to shorten the detection time and improve the collection efficiency.

[0168] In this way, the present invention can achieve dynamic adjustment of the first delay, making it more adaptable to actual working conditions, avoiding data collection errors caused by too short a delay or affecting detection efficiency due to too long a delay. The dynamically adjusted first delay parameter will be applied to the switching operation of each street lamp group to ensure the accuracy of data collection and fault detection.

[0169] For example, in a certain street light inspection, the first delay after dynamic adjustment was 3 seconds, and the signal stabilization time was 2.8 seconds. The accuracy of the collected data was fully guaranteed, and no misjudgment or missed judgment was caused by improper delay setting.

[0170] By dynamically adjusting the first delay, the present invention can effectively adapt to a variety of environments and operating conditions, improve the accuracy of street lamp data collection and the real-time performance of fault detection, and further improve the management efficiency of the intelligent street lamp system.

[0171] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0172] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0173] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0174] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0175] The preferred embodiments of the present invention disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details in detail, nor do they limit the present application to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can understand and use the present application well. The present application is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-street lamp data collection and analysis method based on a centralized controller, characterized in that: The method comprises: The plurality of street lamps are grouped based on the power distribution network connection relationship of the street lamps, and the street lamps connected to the same power distribution node are divided into the same street lamp group; wherein each street lamp group includes at least two street lamps; Using a centralized controller to control the turning on and / or off of each of the street lamps in the street lamp group, and collecting the operation data of each of the street lamps; wherein the time interval between the switching operations of each of the street lamps in each of the street lamp groups is a first delay; Based on the operation data, determining the operation status of the street lamp, and marking the street lamp with abnormal operation as a street lamp to be verified; the operation data includes: current data, voltage data, and load data; For the street lamp to be verified, collecting the operation data again when the street lamp is switched on and off next time; Based on the latest two operation data of the street lamp to be verified, generating the detection result information of the street lamp to be verified; The generating the detection result information of the street lamp to be verified based on the latest two operation data of the street lamp to be verified includes: Performing difference analysis on the two most recent operating data of the street lamp to be verified to identify abnormal features; In response to the abnormal characteristics of the two operation data being consistent, determining that the street lamp to be verified has a fault, and generating corresponding detection result information; The generating the detection result information of the street lamp to be verified based on the latest two operation data of the street lamp to be verified also includes: In response to the inconsistency of abnormal features of the two operation data, marking the street lamp to be verified as a street lamp to be reviewed; For the street lamp to be reviewed, collecting the operating data of the street lamp twice again; Generate detection result information of the street lamp to be verified based on the latest four operation data of the street lamp to be reviewed; Wherein, when generating the detection result information of the street lamp to be verified based on the latest four operation data of the street lamp to be reviewed, the following steps are performed: Performing trend analysis on the latest four operation data of the street lamp to be reviewed to generate an initial trend analysis result; Continue to collect at least two operation data of the street lamp to be reviewed, and after obtaining the latest six operation data, perform secondary trend analysis to generate secondary trend analysis results; Comparing the initial trend analysis result with the secondary trend analysis result to determine whether the trends are consistent; In response to the two trend analysis results being consistent and satisfying the preset fault determination condition, determining that the street lamp to be reviewed has a fault, and generating corresponding detection result information; In response to the two trend analysis results being inconsistent or not meeting the preset fault judgment condition, the operation data continues to be collected, trend analysis and comparison are performed until the preset termination condition is met, and the final detection result is output.

2. The method for collecting and analyzing multi-way street lamp data based on a centralized controller according to claim 1 is characterized in that: The collecting of the operating data of each street lamp comprises: Based on the total operation data of the street lamp group and the first delay, determining the change information of the total operation data when each of the street lamps is turned on or off; Based on the change information of the total operation data, the operation data of each of the street lamps is determined.

3. The method for collecting and analyzing multi-way street lamp data based on a centralized controller according to claim 2 is characterized in that: The determining the operating state of the street lamp based on the operating data and marking the street lamp with abnormal operation as a street lamp to be verified includes: The operating data of each street lamp is compared with the standard operating data. In response to the deviation between the operating data and the standard operating data being greater than a set range, the operating state of the street lamp is determined to be abnormal, and the street lamp is marked as a street lamp to be verified.

4. The method for collecting and analyzing multi-way street lamp data based on a centralized controller according to claim 3 is characterized in that: Also includes: For the street lamp group where the street lamp to be verified is located, regrouping is performed based on the operation data of each street lamp to divide at least two street lamp groups; wherein the regrouped street lamp group includes at least four street lamps; The generating the detection result information of the street lamp to be verified also includes: generating the detection result information of the street lamp to be verified based on the two most recent operation data of the street lamp to be verified before regrouping and the two most recent operation data after regrouping.

5. The method for collecting and analyzing multi-way street lamp data based on a centralized controller according to claim 4 is characterized in that: The generating the detection result information of the street lamp to be verified based on the latest four operation data of the street lamp to be reviewed also includes: Before each trend analysis, the street lamps to be verified are regrouped.

6. The method for collecting and analyzing multi-way street lamp data based on a centralized controller according to claim 5 is characterized in that: The method further comprises: Based on the operating data of the street lamp, determining the signal stabilization time required after each switch operation; The first delay is dynamically adjusted based on the signal stabilization time and external environmental factors.

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