Intelligent street lamp adaptive energy-saving control system based on Internet platform

Abstract

The invention relates to the technical field of street lamp control, and particularly discloses an intelligent street lamp self-adaptive energy-saving control system based on an internet platform. Comprising a component state monitoring and analyzing module, a lighting state monitoring and analyzing module, an environmental factor monitoring and analyzing module, an energy-saving control strategy making module, a data wireless communication module, a power supply energy-saving control execution module, a fault early warning module and an internet control terminal. The street lamp component performance is accurately evaluated through comparison threshold values, automatic and intelligent street lamp state evaluation is achieved, stable operation of a lighting system is guaranteed, faults are reduced, maintenance resource allocation is optimized, cost is reduced, and a foundation is laid for energy-saving control. Energy-saving control state coefficients are calculated by monitoring environmental parameters, street lamp parameters are adjusted in a targeted mode, lighting safety and quality are guaranteed, energy-saving control is scientifically guided, and influences of traffic and pedestrian factors on lighting requirements are quantified, so that the system can dynamically adjust energy-saving strategies according to the energy-saving control state coefficients, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of street lamp control, and specifically to an intelligent street lamp adaptive energy-saving control system based on an Internet platform. Background Art

[0002] With the acceleration of urbanization, street lamps, as an important part of the urban lighting system, are becoming increasingly large in scale, and the problem of energy consumption is becoming more and more prominent.

[0003] Traditional street light systems often use fixed lighting modes and control strategies, which cannot be flexibly adjusted according to actual conditions. As a result, high lighting intensity is maintained even in low traffic flow, low pedestrian flow or sufficient ambient light, resulting in energy waste. At the same time, during the long-term operation of street lights, the performance of the lamps will gradually decline. If they are not discovered and maintained in time, it will not only affect the lighting quality, but may also increase the failure rate and maintenance costs. In addition, the lighting needs of different road sections vary due to differences in traffic conditions, pedestrian density and environmental factors. The existing street light system is difficult to meet such diverse needs.

[0004] Therefore, an intelligent street lamp adaptive energy-saving control system based on the Internet platform is needed to solve the above problems. Summary of the invention

[0005] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a smart street lamp adaptive energy-saving control system based on the Internet platform to solve the above-mentioned technical defects.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent street lamp adaptive energy-saving control system based on the Internet platform, including a component status monitoring and analysis module, a lighting status monitoring and analysis module, an environmental factor monitoring and analysis module, and an energy-saving control strategy formulation module;

[0007] The component status monitoring and analysis module is used to monitor and collect the operating parameters of each smart street lamp in each operating section corresponding to each control period in real time, and calculate and analyze the operating parameters of each smart street lamp in each operating section corresponding to each control period, and obtain the component performance status coefficient of each smart street lamp in each operating section corresponding to each control period;

[0008] The lighting status monitoring and analysis module is used to monitor and collect the lighting parameters of each smart street lamp in each operating section in real time, and calculate and analyze the lighting parameters of each smart street lamp in each operating section in each control period, so as to obtain the lighting quality status coefficient of each smart street lamp in each operating section in each control period;

[0009] The environmental factor monitoring and analysis module is used to monitor and collect the environmental parameters of each smart street lamp in each operating section in real time, and calculate and analyze the environmental parameters of each smart street lamp in each operating section in each control period, and obtain the energy-saving control state coefficient of each smart street lamp in each operating section in each control period;

[0010] The energy-saving control strategy formulation module is used to compare and analyze the component performance status coefficient, lighting quality status coefficient and energy-saving control status coefficient of each smart street lamp in each operating section corresponding to each control period with the preset thresholds, and obtain the corresponding energy-saving control signal of each smart street lamp in each operating section corresponding to each control period.

[0011] Furthermore, the device also includes a data wireless communication module, a power energy-saving control execution module, a fault warning module and an Internet control terminal;

[0012] A data wireless communication module is used to transmit the energy-saving control signals corresponding to each control period of each smart street lamp in each operating section and the analysis parameters corresponding to each control period of each smart street lamp in each operating section to the Internet control terminal;

[0013] The power energy-saving control execution module is used to perform energy-saving control on each smart street lamp according to the energy-saving control signal corresponding to each control period of each smart street lamp in each operating section;

[0014] A fault warning module is used to send out corresponding warning signals for component maintenance signals, component failure signals, lighting improvement signals, and lighting optimization signals in the energy-saving control signals corresponding to each control period of each smart street lamp in each operating section;

[0015] The Internet control terminal is used to receive and store the analysis parameters and energy-saving control signals of each smart street lamp corresponding to each control period in each operating section, and at the same time use the power energy-saving control execution module to perform adaptive energy-saving control on each smart street lamp based on the received energy-saving control signals.

[0016] Furthermore, the operation parameter calculation and analysis method for each smart street lamp in each operation section corresponding to each control period is as follows:

[0017] Compare the actual luminous flux and the initial luminous flux of each smart street lamp in each operating section corresponding to each control period to obtain the luminous flux retention rate of each smart street lamp in each operating section corresponding to each control period;

[0018] The lighting duration and lighting times of each smart street lamp in each operating section corresponding to each control period are compared with the rated lighting duration and rated lighting times, respectively, to obtain the lighting duration ratio and lighting times ratio of each smart street lamp in each operating section corresponding to each control period;

[0019] Real-time monitoring of the working temperature of each smart street lamp in each operating section corresponding to each control period is performed to obtain the working temperature of each smart street lamp in each operating section corresponding to each control period;

[0020] Obtain the influence temperature reference value of each smart street lamp in each operating section from the Internet control terminal, calculate the difference between the working temperature and the influence temperature reference value of each smart street lamp in each operating section corresponding to each control period and divide by 10, and use the calculation result as the exponent of 2 to obtain the temperature influence factor of each smart street lamp in each operating section;

[0021] Through comprehensive calculation and analysis of the above parameters, the component performance status coefficient of each smart street lamp in each operating section corresponding to each control period is obtained.

[0022] Furthermore, the calculation and analysis method of the lighting parameters of each smart street lamp corresponding to each control period in each operating section is as follows:

[0023] The lighting uniformity index of each smart street lamp in each operating section corresponding to each control period is obtained by calculating the light intensity of each test point corresponding to each smart street lamp in each operating section;

[0024] The brightness contrast index of each smart street lamp in each operating section corresponding to each control period is obtained by taking the difference between the maximum brightness and the minimum brightness of each test point of each smart street lamp in each operating section and dividing it by the sum of the maximum brightness and the minimum brightness;

[0025] The brightness contrast index standard value and brightness contrast index of each smart street lamp in each operating section are calculated to obtain a brightness contrast index normalized value of each smart street lamp in each operating section;

[0026] By multiplying the normalized value of the lighting uniformity index and the normalized value of the brightness contrast index of each smart street lamp in each operating section by the corresponding set weight factor, and then summing the two product results, the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is obtained.

[0027] Furthermore, the specific method of calculating and analyzing the environmental parameters of each smart street lamp in each operating section corresponding to each control period is as follows:

[0028] Obtain the traffic flow and pedestrian flow from the environmental parameters of each smart street lamp in each operating section corresponding to each control period, and at the same time obtain the standard value of traffic flow and the standard value of pedestrian flow in each operating section, and compare the traffic flow and pedestrian flow of each smart street lamp in each operating section corresponding to each control period with the standard value of traffic flow and the standard value of pedestrian flow, respectively, to obtain the normalized value of traffic flow and the normalized value of pedestrian flow of each smart street lamp in each operating section corresponding to each control period;

[0029] The normalized traffic flow value and pedestrian flow value of each smart street lamp in each operating section corresponding to each control period are multiplied by the corresponding set weight factors respectively, and then the results of the two products are summed to obtain the energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period.

[0030] Furthermore, the specific comparative analysis method of the component performance state coefficient, lighting quality state coefficient and energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period and the preset threshold value is as follows:

[0031] The component performance state coefficient K of each smart street lamp in each operating section corresponding to each control period i Compare and analyze the preset component performance status coefficient threshold. If the component performance status coefficient K of each smart street lamp in each operating section corresponding to each control period is i >K1, it means that the performance of the components of the smart street lamp is in good condition, generating a stable performance signal;

[0032] If the component performance state coefficient K1 of each smart street lamp in each operating section corresponding to each control period is less than K i <K2, it means that the performance of the smart street lamp components has entered a warning state, and a component maintenance signal is generated;

[0033] If the component performance state coefficient K of each smart street lamp in each operating section corresponds to each control period i >K2, it means that the performance of the components of the smart street lamp is in a damaged state and a component failure signal is generated.

[0034] Furthermore, according to lighting design standards and actual experience, a lighting quality status coefficient threshold of each smart street lamp in each operating section corresponding to each control time period is set, wherein the lighting quality status coefficient threshold of each smart street lamp in each operating section corresponding to each control time period is divided into a good threshold, a warning threshold and a poor threshold, and the lighting quality status coefficient of each smart street lamp in each operating section corresponding to each control time period and the set lighting quality status coefficient threshold are compared and analyzed. If the lighting quality status coefficient of each smart street lamp in each operating section corresponding to each control time period is greater than the good threshold of the lighting quality status coefficient, it indicates that the lighting quality is good, and a good lighting signal is generated; if the lighting quality status coefficient of each smart street lamp in each operating section corresponding to each control time period is between the good threshold and the warning threshold of the lighting quality status coefficient, it indicates that the lighting quality enters the warning state, and a lighting improvement signal is generated; if the lighting quality status coefficient of each smart street lamp in each operating section corresponding to each control time period is less than the warning threshold of the lighting quality status coefficient, it indicates that the lighting quality is poor, and a lighting optimization signal is generated.

[0035] Furthermore, the energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period is compared with the preset energy-saving control state coefficient threshold. If the energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period is greater than the energy-saving control state coefficient threshold, it means that the demand for street lamp brightness is high, and it is necessary to reduce energy-saving measures and generate energy-saving reduction signals; otherwise, it means that the demand for street lamp brightness is low, and it is necessary to collect more energy-saving measures and generate energy-saving improvement signals.

[0036] The energy-saving control signal corresponding to each control period of each smart street lamp in each operating section is composed of a performance stability signal, a component maintenance signal, a component failure signal, a good lighting signal, a lighting improvement signal, a lighting optimization signal, an energy-saving reduction signal and an energy-saving improvement signal.

[0037] Beneficial effects of the present invention:

[0038] 1. In the present invention, the operating parameters of the smart street lamps in each operating section in each control period are monitored, collected and calculated and analyzed in real time through the component status monitoring and analysis module, so as to obtain an accurate component performance status coefficient, and then calculate the luminous flux retention rate, the lighting time ratio, the lighting number ratio and the temperature influence factor from the operating parameters, and then comprehensively calculate the component performance status coefficient, and compare and analyze it with the preset threshold value, so as to effectively judge the component performance status of the smart street lamp, and set the threshold value based on the ideal range of each analysis parameter, consider different ratios to determine different status thresholds, and accurately evaluate the status of the street lamp, thereby improving the scientificity and timeliness of street lamp maintenance, ensuring the stable operation of the lighting system, reducing lighting problems caused by street lamp failures, and optimizing the allocation of maintenance resources, reducing maintenance costs, realizing automated and intelligent street lamp status evaluation, and laying a solid foundation for adaptive energy-saving control, so that the energy-saving control strategy can be flexibly adjusted according to the actual status of the street lamp, and improving energy-saving efficiency and lighting quality.

[0039] 2. In the present invention, through real-time monitoring, collection, calculation and analysis of the lighting parameters of each smart street lamp in each operating section in each control period, the lighting uniformity index is calculated by obtaining the light intensity at the test points set on the road section, and the brightness contrast index is obtained by the maximum brightness and minimum brightness of the test points. It is normalized in combination with the standard value obtained from the Internet control terminal, and then the lighting quality state coefficient is calculated by dynamically setting the weight factor according to the uniformity and contrast requirements of each section. The coefficient is compared and analyzed with the good, warning and poor thresholds set according to the lighting design standards and actual experience, so that the evaluation of the street lamp lighting quality is more accurate and practical, and targeted measures can be taken according to different signals, such as maintaining the current energy-saving strategy when the lighting quality is good, adjusting the street lamp parameters to optimize the lighting when the warning occurs, and urgently optimizing the lighting when the lighting quality is poor, thereby ensuring the lighting safety and quality, and at the same time more scientifically guiding adaptive energy-saving control and improving energy-saving efficiency.

[0040] 3. In the present invention, the environmental parameters of the smart street lamps in each operating section in each control period are monitored, collected and calculated and analyzed in real time, so as to obtain the energy-saving control state coefficient. The traffic flow and pedestrian flow are obtained, and compared with their respective standard values ​​to obtain a normalized value, and then multiplied by the weight factor set according to the actual situation and then summed to obtain the coefficient. This can effectively quantify the impact of traffic and pedestrian factors in the environment on the street lamp lighting demand. Finally, based on the energy-saving control state coefficient, the smart street lamp adaptive energy-saving control system can dynamically adjust the energy-saving strategy according to the actual traffic and pedestrian conditions of different sections. For example, in time periods or sections with large traffic and pedestrian flows, energy-saving efforts are reduced to ensure adequate lighting; when the flow is small, energy-saving efforts are increased to achieve precise adaptive energy-saving control, improve energy utilization efficiency, and at the same time ensure road lighting safety and quality to better meet the needs of road users. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] Figure 1 This is a principle block diagram of an Internet-based smart street lamp adaptive energy-saving control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0044] As shown in the present invention and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

[0045] Although the present invention has made various references to certain modules in the system according to an embodiment of the present invention, any number of different modules can be used and run on a user terminal and / or server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0046] The present invention uses a flow chart to illustrate the operations performed by the system according to an embodiment of the present invention. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, various steps may be processed in reverse order or simultaneously as required. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0047] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described here.

[0048] Embodiment 1:

[0049] See also Figure 1 As shown, the intelligent street lamp adaptive energy-saving control system based on the Internet platform includes: component status monitoring and analysis module, lighting status monitoring and analysis module, environmental factor monitoring and analysis module, energy-saving control strategy formulation module, data wireless communication module, power energy-saving control execution module, fault warning module and Internet control terminal.

[0050] The component status monitoring and analysis module is used to monitor and collect the operating parameters of each smart street lamp in each operating section corresponding to each control period in real time, and calculate and analyze the operating parameters of each smart street lamp in each operating section corresponding to each control period, and obtain the component performance status coefficient of each smart street lamp in each operating section corresponding to each control period;

[0051] It should be noted that the operating parameters of each smart street lamp in each operating section corresponding to each control period are monitored and collected through corresponding set sensors or existing monitoring equipment.

[0052] The calculation and analysis method for the operating parameters of each smart street lamp in each operating section corresponding to each control period is as follows:

[0053] The actual luminous flux of each smart street lamp in each operating section corresponding to each control period is obtained from the operating parameters of each smart street lamp in each operating section corresponding to each control period. At the same time, the initial luminous flux of each smart street lamp in each operating section corresponding to each control period is obtained from the Internet control terminal. The actual luminous flux of each smart street lamp in each operating section corresponding to each control period is compared with the initial luminous flux to obtain the luminous flux retention rate of each smart street lamp in each operating section corresponding to each control period, which is recorded as FM i , i represents the number of each smart street lamp, i = 1, 2, ..., n, n represents the total number of smart street lamps;

[0054] The lighting duration and lighting times of each smart street lamp in each operating section are obtained from the Internet control terminal, and at the same time, the working temperature of each smart street lamp in each operating section corresponding to each control period is monitored in real time with the temperature sensor installed on each smart street lamp, so as to obtain the working temperature of each smart street lamp in each operating section corresponding to each control period;

[0055] The rated lighting time and rated lighting times of each smart street lamp in each operating section are obtained from the Internet control terminal. The lighting time and lighting times of each smart street lamp in each operating section corresponding to each control period are compared with the rated lighting time and rated lighting times, respectively, to obtain the lighting time ratio and lighting times ratio of each smart street lamp in each operating section corresponding to each control period, which are recorded as PT i and PC i ;

[0056] Obtain the reference value of the influencing temperature of each smart street lamp in each operating section from the Internet control terminal, calculate the difference between the working temperature and the reference value of the influencing temperature of each smart street lamp in each operating section corresponding to each control period, and divide it by 10. The calculation result is used as the exponent of 2 to obtain the temperature influencing factor of each smart street lamp in each operating section, which is recorded as Tf i It should be noted that the reference temperature of each smart street lamp in each operating section is a benchmark temperature used to measure the impact of temperature on lamp performance. It is a standard reference value determined according to lamp type, manufacturer regulations and industry standards.

[0057] Through comprehensive calculation and analysis of the above parameters, the component performance status coefficient of each smart street lamp in each operating section corresponding to each control period is obtained. The specific comprehensive calculation and analysis method is as follows:

[0058] According to the formula Calculate the component performance state coefficient K of each smart street lamp in each operating section corresponding to each control period i .

[0059] In a specific embodiment, the present invention uses a component status monitoring and analysis module to conduct real-time monitoring, collection and calculation and analysis of the operating parameters of the smart street lamps in each operating section in each control period, so as to obtain an accurate component performance status coefficient, and then calculate the luminous flux retention rate, lighting time proportion, lighting number proportion and temperature influence factor from the operating parameters, and then comprehensively calculate the component performance status coefficient, which is compared and analyzed with the preset threshold value, so as to effectively judge the component performance status of the smart street lamp, and set the threshold value based on the ideal range of each analysis parameter, consider different proportions to determine different status thresholds, and accurately evaluate the status of the street lamp, thereby improving the scientificity and timeliness of street lamp maintenance, ensuring the stable operation of the lighting system, reducing lighting problems caused by street lamp failures, and optimizing the allocation of maintenance resources, reducing maintenance costs, and realizing automated and intelligent street lamp status evaluation, laying a solid foundation for adaptive energy-saving control, so that the energy-saving control strategy can be flexibly adjusted according to the actual status of the street lamp, and improving energy-saving efficiency and lighting quality.

[0060] The lighting status monitoring and analysis module is used to monitor and collect the lighting parameters of each smart street lamp in each operating section in real time, and calculate and analyze the lighting parameters of each smart street lamp in each operating section in each control period, so as to obtain the lighting quality status coefficient of each smart street lamp in each operating section in each control period;

[0061] It should be noted that the lighting parameters of each smart street lamp in each operating section corresponding to each control period are monitored and collected through corresponding set sensors or existing monitoring equipment.

[0062] The calculation and analysis method for the lighting parameters of each smart street lamp in each operating section corresponding to each control period is as follows:

[0063] Several test points are set in each operating section, and the light intensity of each smart street lamp corresponding to each test point in each operating section is obtained from the lighting parameters of each smart street lamp in each operating section corresponding to each control period. The average light intensity and the standard deviation of the light intensity between each adjacent smart street lamp in each operating section are calculated. Finally, the standard deviation of the light intensity between each adjacent smart street lamp in each operating section and the average light intensity are compared and calculated. The calculation result is subtracted from 1 to obtain the lighting uniformity index of each smart street lamp in each operating section corresponding to each control period, which is recorded as ZC i ;

[0064] The maximum brightness and minimum brightness of each smart street lamp corresponding to each test point in each operating section are obtained from the lighting parameters of each smart street lamp corresponding to each control period in each operating section. The maximum brightness and minimum brightness of each smart street lamp corresponding to each test point in each operating section are divided by the sum of the maximum brightness and the minimum brightness to obtain the brightness contrast index of each smart street lamp in each operating section corresponding to each control period, which is recorded as CLi ;

[0065] The standard values ​​of the lighting uniformity index and brightness contrast index of each smart street lamp in each operating section are obtained from the Internet control terminal and recorded as and j represents the number of each running section, j=1, 2, ..., m, m represents the total number of the running section numbers;

[0066] Compare the lighting uniformity index of each smart street lamp in each operating section with the standard value of the lighting uniformity index to obtain the normalized value of the lighting uniformity index of each smart street lamp in each operating section; perform a difference calculation between the standard value of the brightness contrast index of each smart street lamp in each operating section and the brightness contrast index, and divide the difference by the standard value of the brightness contrast index to obtain the normalized value of the brightness contrast index of each smart street lamp in each operating section;

[0067] Finally, by multiplying the normalized value of the lighting uniformity index and the normalized value of the brightness contrast index of each smart street lamp in each operating section by the corresponding set weight factors, and then summing the two multiplication results, the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is obtained; it should be noted that the weight factors set for the normalized value of the lighting uniformity index and the normalized value of the brightness contrast index are dynamically set according to the requirements of each operating section for lighting uniformity and lighting contrast.

[0068] In a specific embodiment, the present invention collects and calculates and analyzes the lighting parameters of each smart street lamp in each operating section in each control period in real time, and uses the light intensity obtained at the test points set on the section to calculate the lighting uniformity index, and obtains the brightness contrast index through the maximum brightness and minimum brightness of the test points. It is normalized in combination with the standard value obtained from the Internet control terminal, and then the lighting quality state coefficient is calculated by dynamically setting the weight factor according to the uniformity and contrast requirements of each section. The good, warning, and poor thresholds set according to the lighting design standards and actual experience are compared and analyzed, so that the evaluation of the street lamp lighting quality is more accurate and practical, and targeted measures can be taken according to different signals, such as maintaining the current energy-saving strategy when the lighting quality is good, adjusting the street lamp parameters to optimize the lighting when the warning occurs, and urgently optimizing the lighting when the lighting is poor, thereby ensuring the lighting safety and quality, and at the same time more scientifically guiding adaptive energy-saving control and improving energy-saving efficiency.

[0069] The environmental factor monitoring and analysis module is used to monitor and collect the environmental parameters of each smart street lamp in each operating section in real time, and calculate and analyze the environmental parameters of each smart street lamp in each operating section in each control period, and obtain the energy-saving control state coefficient of each smart street lamp in each operating section in each control period;

[0070] Obtain the traffic flow and pedestrian flow from the environmental parameters of each smart street lamp in each operating section corresponding to each control period, and at the same time obtain the standard value of traffic flow and the standard value of pedestrian flow in each operating section, and compare the traffic flow and pedestrian flow of each smart street lamp in each operating section corresponding to each control period with the standard value of traffic flow and the standard value of pedestrian flow, respectively, to obtain the normalized value of traffic flow and the normalized value of pedestrian flow of each smart street lamp in each operating section corresponding to each control period;

[0071] The normalized traffic flow value and the normalized pedestrian flow value of each smart street lamp in each operating section corresponding to each control period are multiplied by the corresponding set weight factor, and then the results of the two products are summed to obtain the energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period;

[0072] In a specific embodiment, the present invention obtains an energy-saving control state coefficient by real-time monitoring, collection, calculation and analysis of the environmental parameters of the smart street lamps in each operating section in each control period. The normalized value is obtained by obtaining the traffic flow and pedestrian flow, and then multiplied by the weight factor set according to the actual situation and then summed to obtain the coefficient. This can effectively quantify the impact of traffic and pedestrian factors in the environment on the street lamp lighting demand. Finally, based on the energy-saving control state coefficient, the smart street lamp adaptive energy-saving control system can dynamically adjust the energy-saving strategy according to the actual traffic and pedestrian conditions of different sections. For example, in time periods or sections with large traffic and pedestrian flows, the energy-saving efforts are reduced to ensure adequate lighting; when the traffic flow is small, the energy-saving efforts are increased to achieve precise adaptive energy-saving control, improve energy utilization efficiency, and at the same time ensure road lighting safety and quality to better meet the needs of road users.

[0073] The energy-saving control strategy formulation module is used to compare and analyze the component performance state coefficient, lighting quality state coefficient and energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period with the preset threshold value, and obtain the corresponding energy-saving control signal of each smart street lamp in each operating section corresponding to each control period. The specific comparison and analysis method is as follows:

[0074] The component performance state coefficient K of each smart street lamp in each operating section corresponding to each control period i The component performance status signals of each smart street lamp in each operating section corresponding to each control period are obtained by comparing and analyzing with the preset component performance status coefficient threshold. The specific comparative analysis method is as follows:

[0075] If the component performance state coefficient K of each smart street lamp in each operating section corresponds to each control period i >K1, it means that the performance of the components of the smart street lamp is in good condition and does not require maintenance or replacement. Only routine inspection is required to generate a stable performance signal;

[0076] If the component performance state coefficient K1 of each smart street lamp in each operating section corresponding to each control period is less than K i <K2, it means that the performance of the smart street lamp components has entered a warning state, and further inspection of the specific parameters of the lamp is required to determine whether maintenance or replacement is required, and a component maintenance signal is generated;

[0077] If the component performance state coefficient K of each smart street lamp in each operating section corresponds to each control period i >K2, it means that the performance of the smart street lamp components is damaged and needs to be replaced, generating a component failure signal;

[0078] It should be noted that the component performance status coefficient threshold value preset here is obtained by obtaining the ideal range of each analysis parameter of each smart street lamp in each operating section, setting the proportion not exceeding 40% of the ideal range of each analysis parameter as a good state value, substituting the good state value into the calculation formula of the above component performance status coefficient, and obtaining the good state component performance status coefficient threshold value of each smart street lamp in each operating section, recorded as K1; setting the proportion of the ideal range of each analysis parameter between 40%-60% as the warning state value, substituting the warning state value into the calculation formula of the above component performance status coefficient, and obtaining the warning state component performance status coefficient threshold value of each smart street lamp in each operating section, recorded as K2; setting the proportion exceeding the ideal range of each analysis parameter to 60% as the replacement state value, substituting the replacement state value into the calculation formula of the above component performance status coefficient, and obtaining the replacement state component performance status coefficient threshold value of each smart street lamp in each operating section;

[0079] According to lighting design standards and actual experience, the threshold of the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is set, wherein the threshold of the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is divided into a good threshold, a warning threshold and a poor threshold. The lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period and the set lighting quality state coefficient threshold are compared and analyzed. If the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is greater than the good threshold of the lighting quality state coefficient, it means that the lighting quality is good, and a good lighting signal is generated; if the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is between the good threshold and the warning threshold of the lighting quality state coefficient, it means that the lighting quality enters the warning state, and a lighting improvement signal is generated; if the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is less than the warning threshold of the lighting quality state coefficient, it means that the lighting quality is poor, and a lighting optimization signal is generated;

[0080] The energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period is compared with the preset energy-saving control state coefficient threshold. If the energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period is greater than the energy-saving control state coefficient threshold, it means that the demand for street lamp brightness is high, and energy-saving measures need to be reduced at this time, and an energy-saving reduction signal is generated; otherwise, it means that the demand for street lamp brightness is low, and more energy-saving measures need to be collected at this time, and an energy-saving improvement signal is generated;

[0081] The energy-saving control signal corresponding to each control period of each smart street lamp in each operating section is composed of a performance stability signal, a component maintenance signal, a component failure signal, a good lighting signal, a lighting improvement signal, a lighting optimization signal, an energy-saving reduction signal and an energy-saving improvement signal.

[0082] The data wireless communication module is used to transmit the energy-saving control signals corresponding to each control period of each smart street lamp in each operating section and the analysis parameters corresponding to each control period of each smart street lamp in each operating section to the Internet control terminal; it should be noted that the analysis parameters here include operating parameters, lighting parameters and environmental parameters.

[0083] The power energy-saving control execution module is used to perform energy-saving control on each smart street lamp corresponding to the energy-saving control signal corresponding to each control period of each smart street lamp in each operating section.

[0084] The fault warning module is used to send corresponding warning signals to the component maintenance signals, component failure signals, lighting improvement signals and lighting optimization signals in the energy-saving control signals corresponding to each smart street lamp in each operating section and each control period.

[0085] The Internet control terminal is used to receive and store the analysis parameters and energy-saving control signals of each smart street lamp corresponding to each control period in each operating section, and at the same time use the power energy-saving control execution module to perform adaptive energy-saving control on each smart street lamp based on the received energy-saving control signals.

[0086] In a specific embodiment, the present invention accurately evaluates the performance of street lamp components by comparing thresholds, realizes automated and intelligent street lamp status evaluation, ensures stable operation of the lighting system, reduces faults, optimizes maintenance resource allocation and reduces costs, and lays the foundation for energy-saving control; by real-time monitoring of lighting parameters and calculating lighting quality status coefficients, combined with threshold comparison, the lighting quality can be accurately evaluated, and street lamp parameters can be adjusted accordingly to ensure lighting safety and quality, and scientifically guide energy-saving control; by monitoring environmental parameters to calculate the energy-saving control status coefficient, the impact of traffic and pedestrian factors on lighting demand is quantified, so that the system can dynamically adjust the energy-saving strategy accordingly to improve energy utilization efficiency; finally, by comparing component performance, lighting quality and energy-saving control status coefficients with thresholds, a variety of energy-saving control signals are generated, and the Internet control terminal is used to receive and store parameters and signals, and control energy saving, ultimately achieving accurate adaptive energy-saving control, improving lighting quality, and better meeting the needs of road users.

[0087] The above formulas are all dimensionless and numerical calculations. The formula is a formula that is obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The size of the coefficient is to quantify each parameter to obtain a specific value. Regarding the size of the coefficient, it is acceptable as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0088] In addition, those skilled in the art will appreciate that various aspects of the present invention may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present invention may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0089] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined as such herein.

[0090] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. The intelligent street lamp adaptive energy-saving control system based on the Internet platform is characterized by: It includes component status monitoring and analysis module, lighting status monitoring and analysis module, environmental factor monitoring and analysis module, and energy-saving control strategy formulation module; The component status monitoring and analysis module is used to monitor and collect the operating parameters of each smart street lamp in each operating section corresponding to each control period in real time, and calculate and analyze the operating parameters of each smart street lamp in each operating section corresponding to each control period, and obtain the component performance status coefficient of each smart street lamp in each operating section corresponding to each control period; The lighting status monitoring and analysis module is used to monitor and collect the lighting parameters of each smart street lamp in each operating section in real time, and calculate and analyze the lighting parameters of each smart street lamp in each operating section in each control period, so as to obtain the lighting quality status coefficient of each smart street lamp in each operating section in each control period; The environmental factor monitoring and analysis module is used to monitor and collect the environmental parameters of each smart street lamp in each operating section in real time, and calculate and analyze the environmental parameters of each smart street lamp in each operating section in each control period, and obtain the energy-saving control state coefficient of each smart street lamp in each operating section in each control period; The energy-saving control strategy formulation module is used to compare and analyze the component performance status coefficient, lighting quality status coefficient and energy-saving control status coefficient of each smart street lamp in each operating section corresponding to each control period with the preset thresholds, and obtain the corresponding energy-saving control signal of each smart street lamp in each operating section corresponding to each control period.

2. The Internet-based smart street lamp adaptive energy-saving control system according to claim 1 is characterized in that: It also includes a data wireless communication module, a power energy-saving control execution module, a fault warning module and an Internet control terminal; A data wireless communication module is used to transmit the energy-saving control signals corresponding to each control period of each smart street lamp in each operating section and the analysis parameters corresponding to each control period of each smart street lamp in each operating section to the Internet control terminal; The power energy-saving control execution module is used to perform energy-saving control on each smart street lamp according to the energy-saving control signal corresponding to each control period of each smart street lamp in each operating section; A fault warning module is used to send out corresponding warning signals for component maintenance signals, component failure signals, lighting improvement signals, and lighting optimization signals in the energy-saving control signals corresponding to each control period of each smart street lamp in each operating section; The Internet control terminal is used to receive and store the analysis parameters and energy-saving control signals of each smart street lamp corresponding to each control period in each operating section, and at the same time use the power energy-saving control execution module to perform adaptive energy-saving control on each smart street lamp based on the received energy-saving control signals.

3. The Internet-based smart street lamp adaptive energy-saving control system according to claim 2 is characterized by: The calculation and analysis method of the operating parameters of each smart street lamp corresponding to each control period in each operating section is as follows: Compare the actual luminous flux and the initial luminous flux of each smart street lamp in each operating section corresponding to each control period to obtain the luminous flux retention rate of each smart street lamp in each operating section corresponding to each control period; The lighting duration and lighting times of each smart street lamp in each operating section corresponding to each control period are compared with the rated lighting duration and rated lighting times, respectively, to obtain the lighting duration ratio and lighting times ratio of each smart street lamp in each operating section corresponding to each control period; Real-time monitoring of the working temperature of each smart street lamp in each operating section corresponding to each control period is performed to obtain the working temperature of each smart street lamp in each operating section corresponding to each control period; The influencing temperature reference value of each smart street lamp in each operating section is obtained from the Internet control terminal. The working temperature and the influencing temperature reference value of each smart street lamp in each operating section corresponding to each control period are subtracted and divided by 10. The calculation result is calculated as an exponent of 2 to obtain the temperature influencing factor of each smart street lamp in each operating section.

4. The Internet-based smart street lamp adaptive energy-saving control system according to claim 3 is characterized by: Through comprehensive calculation and analysis of the above parameters, the component performance status coefficient of each smart street lamp in each operating section corresponding to each control period is obtained; The specific comprehensive calculation and analysis method is as follows: According to the formula Calculate the component performance state coefficient K of each smart street lamp in each operating section corresponding to each control period i .

5. The Internet-based smart street lamp adaptive energy-saving control system according to claim 4 is characterized in that: The calculation and analysis method for the lighting parameters of each smart street lamp corresponding to each control period in each operating section is as follows: The lighting uniformity index of each smart street lamp in each operating section corresponding to each control period is obtained by calculating the light intensity of each test point corresponding to each smart street lamp in each operating section; The brightness contrast index of each smart street lamp in each operating section corresponding to each control period is obtained by taking the difference between the maximum brightness and the minimum brightness of each test point of each smart street lamp in each operating section and dividing it by the sum of the maximum brightness and the minimum brightness; The brightness contrast index standard value and brightness contrast index of each smart street lamp in each operating section are calculated to obtain a brightness contrast index normalized value of each smart street lamp in each operating section; By multiplying the normalized value of the lighting uniformity index and the normalized value of the brightness contrast index of each smart street lamp in each operating section by the corresponding set weight factor, and then summing the two product results, the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is obtained.

6. The Internet-based smart street lamp adaptive energy-saving control system according to claim 5 is characterized by: The specific method of calculating and analyzing the environmental parameters of each smart street lamp corresponding to each control period in each operating section is as follows: The traffic flow and pedestrian flow are obtained from the environmental parameters of each smart street lamp in each operating section corresponding to each control period, and the standard value of traffic flow and the standard value of pedestrian flow in each operating section are obtained at the same time. The traffic flow and pedestrian flow of each smart street lamp in each operating section corresponding to each control period are compared with the standard value of traffic flow and the standard value of pedestrian flow, respectively, to obtain the normalized value of traffic flow and the normalized value of pedestrian flow of each smart street lamp in each operating section corresponding to each control period.

7. The Internet-based smart street lamp adaptive energy-saving control system according to claim 6 is characterized by: The normalized traffic flow value and pedestrian flow value of each smart street lamp in each operating section corresponding to each control period are multiplied by the corresponding set weight factors respectively, and then the results of the two products are summed to obtain the energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period.

8. The Internet-based smart street lamp adaptive energy-saving control system according to claim 7 is characterized in that: The specific comparative analysis method of the component performance state coefficient, lighting quality state coefficient and energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period and the preset threshold value is as follows: The component performance state coefficient K of each smart street lamp in each operating section corresponding to each control period i Compare and analyze the preset component performance status coefficient threshold. If the component performance status coefficient K of each smart street lamp in each operating section corresponding to each control period is i >K1, it means that the performance of the components of the smart street lamp is in good condition, generating a stable performance signal; If the component performance state coefficient K1 of each smart street lamp in each operating section corresponding to each control period is less than K i <K2, it means that the performance of the smart street lamp components has entered the early warning state, and a component maintenance signal is generated; If the component performance state coefficient K of each smart street lamp in each operating section corresponds to each control period i >K2, it means that the performance of the components of the smart street lamp is in a damaged state and a component failure signal is generated.

9. The Internet-based smart street lamp adaptive energy-saving control system according to claim 8 is characterized by: According to lighting design standards and actual experience, the threshold of the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is set, wherein the threshold of the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is divided into a good threshold, a warning threshold and a poor threshold. The lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is compared and analyzed with the set lighting quality state coefficient threshold. If the lighting quality state coefficient of each smart street lamp in each operating section corresponding to each control period is greater than the good threshold of the lighting quality state coefficient, it means that the lighting quality is good, and a good lighting signal is generated; If the lighting quality status coefficient of each smart street lamp in each operating section corresponding to each control period is between the good threshold and the warning threshold of the lighting quality status coefficient, it means that the lighting quality enters the warning state and generates a lighting improvement signal; If the lighting quality status coefficient of each smart street lamp in each operating section corresponding to each control period is less than the warning threshold of the lighting quality status coefficient, it means that the lighting quality is poor and a lighting optimization signal is generated.

10. The Internet-based smart street lamp adaptive energy-saving control system according to claim 9 is characterized in that: The energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period is compared with the preset energy-saving control state coefficient threshold. If the energy-saving control state coefficient of each smart street lamp in each operating section corresponding to each control period is greater than the energy-saving control state coefficient threshold, it means that the demand for street lamp brightness is high, and energy-saving measures need to be reduced at this time, and an energy-saving reduction signal is generated; otherwise, it means that the demand for street lamp brightness is low, and more energy-saving measures need to be collected at this time, and an energy-saving improvement signal is generated; The energy-saving control signal corresponding to each control period of each smart street lamp in each operating section is composed of a performance stability signal, a component maintenance signal, a component failure signal, a good lighting signal, a lighting improvement signal, a lighting optimization signal, an energy-saving reduction signal and an energy-saving improvement signal.

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