LED street lamp remote monitoring and diagnosis system based on wireless communication
By designing a remote monitoring and diagnosis system for LED street lights based on wireless communication, the problems of environmental impact, fault diagnosis and appearance damage of street lights are solved, efficient fault detection and processing are achieved, and the reliability and management efficiency of the street light system are improved.
Patent Information
- Application Number
- CN202411251889.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-09
- Publication Date
- 2025-01-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
LED street lights have challenges in environmental impact, fault diagnosis accuracy and appearance damage.
A remote monitoring and diagnosis system for LED street lights based on wireless communication is designed, including an external stability diagnosis and analysis unit, an LED lamp bead diagnosis and analysis unit, a line diagnosis and analysis unit, and a power supply diagnosis and analysis unit. Through real-time monitoring of the appearance status of the street lights, LED lamp beads The brightness and status of the street light circuit, as well as the power generation and consumption data of the power supply, are used to generate corresponding maintenance signals and fault instructions.
It improves the reliability and safety of street lamps, accurately judges the working conditions of LED lamp beads, promptly detects and handles abnormal situations, extends the service life of lamp beads, realizes automated fault diagnosis and processing, reduces human resources and maintenance costs, and improves the street lamp system. operational efficiency and management level.
Smart Images
Figure CN119342649A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of remote monitoring of LED street lamps, and in particular to a remote monitoring and diagnosis system for LED street lamps based on wireless communication. Background Art
[0002] LED street light remote monitoring technology uses advanced technologies such as the Internet of Things, sensors, communications and data analysis to achieve remote monitoring and intelligent management of street light systems. LED street light remote monitoring technology solves many problems in lighting management, but it still faces some challenges and limitations in practical applications, including the impact of the environment on street lights, the accuracy of street light fault diagnosis, and the appearance of street lights being damaged. Summary of the invention
[0003] The purpose of the present invention is to solve the problem that street lamps are affected by the environment, the accuracy of street lamp fault diagnosis and the appearance of street lamps are damaged, and to propose a remote monitoring and diagnosis system for LED street lamps based on wireless communication.
[0004] The purpose of the present invention can be achieved by the following technical solutions: a remote monitoring and diagnosis system for LED street lamps based on wireless communication, comprising an external stability diagnosis and analysis unit, an LED lamp bead diagnosis and analysis unit, a line diagnosis and analysis unit and a power supply diagnosis and analysis unit, wherein the external stability diagnosis and analysis unit analyzes the appearance state and stability of the street lamp to obtain an external stability coefficient, compares the external stability coefficient with a preset external stability coefficient range, and generates an external stability maintenance signal if the external stability coefficient does not belong to the preset external stability coefficient range; The LED lamp bead diagnosis and analysis unit monitors and analyzes the LED lamp bead, obtains the brightness of the LED lamp bead and the state of the LED lamp bead for analysis to obtain the lamp bead coefficient, matches the lamp bead coefficient with the preset lamp bead coefficient range, and generates a replacement command and a damage signal; The line diagnosis and analysis unit performs diagnosis and analysis on the street lamp line, obtains the internal temperature and weather conditions of the street lamp and the environmental humidity data to calculate the line coefficient, compares it with the preset line leakage and insulation aging interval and the preset line short circuit interval, and generates a line aging signal and a short circuit signal; The power supply diagnosis and analysis unit obtains and analyzes the power generation and power consumption data of the street lamp, obtains the coverage rate, weather conditions and specifications of the solar photovoltaic panels, and obtains the estimated photovoltaic power generation through analysis, sets the estimated photovoltaic power generation interval, and then matches the actual photovoltaic power generation with the estimated photovoltaic power generation interval. When the actual photovoltaic power generation is less than the middle value of the abnormal photovoltaic power generation interval, an abnormal photovoltaic power generation signal 1 is generated; otherwise, an abnormal photovoltaic power generation signal 2 is generated; the actual photovoltaic power generation power is calculated from the actual photovoltaic power generation and the corresponding time, and is compared with the photovoltaic power generation power threshold. If the actual photovoltaic power generation power is less than the photovoltaic power generation power threshold, it is abnormal, and an abnormal photovoltaic power signal is generated; The wind power generation is predicted, the estimated wind power generation is obtained through data calculation, and the abnormal wind power generation interval is preset according to the estimated wind power generation. If the actual wind power generation belongs to the abnormal wind power generation interval, the actual wind power generation is compared with the middle value of the abnormal wind power interval. When the actual wind power generation is less than the middle value of the abnormal wind power interval, an abnormal wind power generation signal 1 is generated; otherwise, an abnormal wind power generation signal 2 is generated; the actual wind power generation power is calculated from the actual wind power generation and the corresponding time, and compared with the wind power generation power threshold. If the actual wind power generation power is less than the wind power generation power threshold, it is abnormal and an abnormal wind power signal is generated.
[0005] As a preferred embodiment of the present invention, it also includes a device environment acquisition unit, a controller diagnosis and analysis unit and a display execution unit; The device environment acquisition unit is used to acquire environmental data of the location where the street lamp is set, including lighting conditions, weather conditions, surrounding environment, temperature, humidity, wind speed and air density; analyze the environmental data, and obtain the lighting condition value through the lighting condition analysis; The controller diagnosis and analysis unit analyzes the street lamp controller fault, substitutes the acquired data into the model diagram to obtain the controller diagnosis and analysis diagram, and then uses the shaded area in the diagram as the controller state coefficient, matches it with the preset controller state interval, and generates a circuit breaker signal or a voltage abnormality signal or an overload signal or a leakage signal; The display execution unit is used to receive the signals and commands sent for analysis to ensure the accuracy of the diagnostic signals; the received signals are sent to the receiving end through the remote connection device, and the signals and commands are displayed in the form of text at the receiving end, and then executed by the relevant operators.
[0006] As a preferred embodiment of the present invention, the specific process of the external stability diagnosis and analysis unit analyzing the appearance state and stability of the street lamp to obtain the external stability coefficient is: The appearance information of the street lamp is obtained through the camera, and then the stable state of the street lamp is obtained through the stable vibration sensing device; the appearance information of the street lamp includes lampshade damage, lampshade missing, lampshade cracks, lamp pole tilt, lamp pole distortion, lamp pole breakage and lamp pole corrosion; the stable state obtains a stable value through the stable vibration sensing device, and matches it with the preset stable intervals. The preset stable intervals are stable interval one, stable interval two and stable interval three. If the stable value is within the stable interval one, it is a normal stable state; if the stable value is within the stable interval two, it is a slight shaking state; if the stable value is within the stable interval three, it is a violent shaking state; then substitute the data into the formula to calculate the external stability coefficient.
[0007] As a preferred embodiment of the present invention, the brightness of the LED lamp bead and the state of the LED lamp bead are obtained by assigning and calculating the lamp bead coefficient, and the specific process is: The LED lamp bead status includes normal lighting, flashing or unable to light up. The brightness of the lamp bead is compared with the preset brightness of the corresponding usage time. If the brightness of the lamp bead is greater than the preset brightness of the corresponding usage time, it is normal and marked as ld1; otherwise, it is abnormal and marked as ld2, collectively referred to as ld; normal lighting and unable to light up are assigned values, normal lighting and unable to light up are zl, zl=0 is unable to light up, and flashing is sx; then the lamp bead life data and replacement records are obtained through the historical replacement records, and the remaining life time of the lamp bead is calculated, marked as st; the data is substituted into the formula to output the lamp bead coefficient.
[0008] As a preferred implementation of the present invention, the specific process of calculating the illumination condition value is as follows: By marking the temperature, humidity, wind speed and air density as l, s, k and v respectively; analyzing the environmental data, the lighting condition is analyzed by analyzing the solar altitude angle, azimuth, sunshine time and light intensity, and the lighting condition value is output, and the lighting condition value GZTJ is matched with the preset lighting condition interval, which is lighting condition interval one, lighting condition interval two and lighting condition interval three; if the lighting condition value GZTJ belongs to lighting condition interval one, it is a high-quality lighting condition; if the lighting condition value GZTJ belongs to lighting condition interval two, it is a general lighting condition; if the lighting condition value GZTJ belongs to lighting condition interval three, it is a poor lighting condition.
[0009] As a preferred implementation of the present invention, the controller diagnostic analysis diagram is obtained by substituting the acquired data into the model diagram, specifically: The communication status connection normal and connection abnormal points are set on the Y-axis, and the temperature point corresponding to the controller temperature and the points corresponding to the controller internal line state, current state and voltage state are set on the Y-axis; then the points corresponding to the acquired controller state are connected to obtain the shaded area in the figure, and the shaded area is used as the controller state coefficient, which is matched with the preset controller state interval. If the controller state coefficient belongs to state interval one, it is a short-circuit state and a short-circuit signal is generated; if the controller state coefficient belongs to state interval two, it is an open-circuit state and an open-circuit signal is generated; if the controller state coefficient belongs to state interval three, it is an abnormal voltage state and a abnormal voltage signal is generated; if the controller state coefficient belongs to state interval four, it is an overload state and an overload signal is generated; if the controller state coefficient belongs to state interval five, it is a leakage state and a leakage signal is generated.
[0010] As a preferred embodiment of the present invention, the display execution unit is used to receive the sent signals and commands for analysis to ensure the accuracy of the diagnostic signal. The specific process is as follows: By obtaining the location information of the faulty street lamp and the maintenance record of the street lamp location, and obtaining the camera in the location information area for observation, if the received signal is an internal fault signal of the street lamp, the current, voltage and temperature are obtained for statistics to obtain a diagnostic record graph. From the data in the graph, when the current is much smaller than or much larger than the current average over a period of time, the voltage is much smaller than or much larger than the voltage average over a period of time, and the temperature is much smaller than or much larger than the fluctuation range over a period of time, the accuracy of the diagnostic signal is ensured.
[0011] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention monitors the appearance and stability of street lamps in real time through the external stability diagnosis and analysis unit, and can promptly detect damage or instability of the lamps, thereby improving the reliability and safety of the street lamps; secondly, through the LED lamp bead diagnosis and analysis unit, by monitoring the brightness and state of the LED lamp beads, it can accurately judge the working condition of the lamp beads, promptly detect and deal with abnormal conditions, extend the service life of the lamp beads, and improve the lighting effect; finally, through intelligent diagnosis and analysis, the system can realize automatic fault diagnosis and processing, reduce human resources and maintenance costs, and improve the operating efficiency and management level of the street lamp system.
[0012] 2. The present invention comprehensively monitors the street lamp circuit and controller through the circuit diagnosis and analysis unit and the controller diagnosis and analysis unit, and can detect circuit leakage, insulation aging, short circuit and other problems in real time, as well as the communication status, temperature and internal circuit status of the controller, so as to timely discover and generate corresponding fault signals. Through intelligent diagnosis and analysis, the system can quickly and accurately locate the fault and generate corresponding maintenance or replacement instructions, which improves maintenance efficiency and accuracy, reduces maintenance costs, and ensures the stable operation and long-term reliability of the LED street lamp system.
[0013] 3. The present invention uses a power diagnosis and analysis unit to monitor and analyze the power generation and power consumption data of street lamps in real time, and can promptly detect abnormalities in photovoltaic power generation, wind power generation, photovoltaic power generation, wind power generation, etc. By analyzing factors such as lighting conditions, coverage, and weather conditions, combined with the specifications of solar photovoltaic panels, the photovoltaic and wind power generation can be predicted, and then the abnormal power generation interval can be set. Once an abnormal situation is detected, the system will generate a corresponding abnormal power generation signal to remind relevant personnel to handle it in time to ensure the stable operation and energy saving and environmental protection of the street lamp system. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0015] Figure 1 It is a principle block diagram of the present invention; Figure 2 It is a controller diagnostic analysis diagram of the present invention; Figure 3 This is the diagnostic record diagram of the present invention. DETAILED DESCRIPTION
[0016] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0017] See also Figure 1 - Figure 3 As shown, a remote monitoring and diagnosis system for LED street lamps based on wireless communication includes an equipment environment acquisition unit, an external stability diagnosis and analysis unit, an LED lamp bead diagnosis and analysis unit, a line diagnosis and analysis unit, a controller diagnosis and analysis unit, a power supply diagnosis and analysis unit and a display execution unit; The equipment environment acquisition unit is used to obtain the environmental data of the location where the street lamp is set through wireless communication transmission, including lighting conditions, weather conditions, surrounding environment, temperature, humidity, wind speed and air density, and mark the values of temperature, humidity, wind speed and air density as l, s, k and v respectively; analyze the environmental data, extract the values of solar altitude angle, azimuth, sunshine time and light intensity in the lighting conditions, mark them as q1, w1, e1 and r1 respectively; and substitute them into the formula Output illumination condition value GZTJ, a1, a2, a3 are all preset weight factors, and their sizes are custom values; μ is the preset angle expected value; σ is the preset value; match the illumination condition value GZTJ with the preset illumination condition interval, and the preset illumination condition intervals are illumination condition interval 1, illumination condition interval 2, and illumination condition interval 3; if the illumination condition value GZTJ belongs to illumination condition interval 1, it is a high-quality illumination condition; if the illumination condition value GZTJ belongs to illumination condition interval 2, it is a general illumination condition; if the illumination condition value GZTJ belongs to illumination condition interval 3, it is a poor illumination condition; Weather conditions also include sunny, cloudy, overcast, rainy and snowy days; rainy and snowy days are further subdivided into light rain, moderate rain, heavy rain, light snow, moderate snow and heavy snow, and matched with corresponding preset values, sunny is p1, cloudy is p2, overcast is p3, light rain is p4, moderate rain is p5, heavy rain is p6, light snow is p7, moderate snow is p8 and heavy snow is p9, collectively referred to as po, o=1, 2, ..., 9; p1 to p9 are corresponding preset values, and their sizes are custom values; the degree of weather quality is customized, such as meeting p6>p5>p9>p8>p4>p7>p3>p1>p2.
[0018] The surrounding environment mainly includes environmental pollution level, vegetation coverage and environmental brightness; environmental pollution level includes light pollution level, moderate pollution level and heavy pollution level, which are assigned values i1, i2 and i3 respectively, i1, i2 and i3 are custom values, and i3>i2>i1; vegetation coverage mainly includes vegetation coverage rate and growth value, which are marked as u1 and u2 respectively; vegetation coverage rate is the ratio of vegetation planting area to total land area; growth value is the average value of all vegetation heights in the vegetation planting surface; the value of environmental brightness is marked as m; When the remote monitoring platform receives a street lamp fault signal, it diagnoses the street lamp fault and performs diagnostic analysis through the corresponding diagnostic unit; specifically: S01: The external stability diagnosis and analysis unit analyzes the appearance state and stability of the street lamp, obtains the appearance information of the street lamp through the camera, and then obtains the stability state of the street lamp through the stable vibration sensing device; the appearance information of the street lamp includes but is not limited to lampshade damage, lampshade missing, lampshade cracks, lamp pole tilt, lamp pole distortion, lamp pole breakage and lamp pole corrosion; then the street lamp appearance information is assigned values, namely g1, g2, g3, g4, g5, g6 and g7, collectively referred to as ; It is a custom value, and its size depends on the severity of the damage to the street lamp. The greater the severity of the damage, the larger the corresponding value. The stable state obtains the stable value through the stable vibration sensing device (that is, the corresponding values of the vibration frequency and vibration amplitude are weighted and calculated, and multiplied by the corresponding preset weights to obtain the sum of the values. The larger the value, the more unstable it is). It is marked as wd and matched with the preset stable intervals. The preset stable intervals are stable interval 1, stable interval 2 and stable interval 3. If the stable value wd is within the stable interval 1, it is a normal stable state; if the stable value wd is within the stable interval 2, it is a slight shaking state; if the stable value wd is within the stable interval 3, it is a violent shaking state; then substitute the data into the formula Output the external stability coefficient WGD, c1, c2 are preset weight factors, compare the external stability coefficient WGD with the preset external stability coefficient range, if the external stability coefficient WGD does not belong to the preset external stability coefficient range, generate an external stability maintenance signal; otherwise, do not generate a signal, and proceed to S02; S02: The LED lamp bead diagnosis and analysis unit monitors and analyzes the LED lamp bead, and measures the brightness and status of the LED lamp bead through the brightness sensor. The LED lamp bead status includes normal lighting, flickering or failure to light up, etc. The brightness of the obtained lamp bead is compared with the preset brightness of the corresponding usage time. If the brightness of the obtained lamp bead is greater than the preset brightness of the corresponding usage time, it is normal and marked as ld1; otherwise, it is abnormal and marked as ld2, collectively referred to as ld; normal lighting, flickering and failure to light up are assigned 2, 1 and 0, and the symbols for normal lighting and failure to light up are zl. When zl=0, it is failure to light up, and the symbol for flickering is sx; then the lamp bead life data and replacement records are obtained through historical replacement records, and the remaining life time of the lamp bead is calculated, and the value of the remaining life time of the lamp bead is marked as st; substitute its value into the formula Output lamp bead coefficient DZF, c3, c4, c5 and c6 are preset weight factors, and their sizes are custom settings; the preset lamp bead coefficient intervals are lamp bead interval 1, lamp bead interval 2 and lamp bead interval 3; if the lamp bead coefficient DZF belongs to lamp bead interval 1, it is in normal state, and S03 is performed; if the lamp bead coefficient DZF belongs to lamp bead interval 2, it is in life replacement state, and a replacement command is generated; if the lamp bead coefficient DZF belongs to lamp bead interval 3, it is in damaged state, and a damage signal is generated; S03: The line diagnosis and analysis unit performs diagnosis and analysis on the street light line, and obtains the cavity temperature inside the street light through the temperature sensor; then the weather condition and environmental humidity are obtained based on the environment acquisition unit. The street light line is affected by the weather condition, and the impact of the weather condition and environmental humidity on the street light line may include line leakage and insulation aging, and line short circuit; then the circuit monitoring device obtains the corresponding cavity temperature of the street light, the voltage and current of the street light line; the corresponding values are marked as the cavity temperature is l1, the voltage is y1 and the current is h1; through the formula Output line coefficient XLD, χ1, χ2 and χ3 are all preset correction factors, compare the line coefficient with the preset line leakage and insulation aging interval and the preset line short circuit interval, if the line coefficient XLD belongs to the preset line leakage and insulation aging interval, it is line aging or corrosion, and a line aging signal is generated; if the line coefficient XLD belongs to the preset line short circuit interval, it is line short circuit, and a short circuit signal is generated; if the line coefficient XLD does not belong to the preset line leakage and insulation aging interval, nor does it belong to the preset line short circuit interval, perform S04; S04: The controller diagnosis and analysis unit analyzes the street light controller fault and obtains the controller communication status through the remote monitoring system; the controller temperature is then obtained through the temperature sensor, and the controller internal line status is obtained by the circuit monitoring device; the communication status is divided into whether the connection is normal and whether there is communication loss in the communication frequency; the controller internal line status is divided into current status and voltage status; the acquired data is then substituted into the model diagram to obtain the controller diagnosis and analysis diagram, specifically: the communication status connection normal and connection abnormal points are set on the Y axis, the temperature point corresponding to the controller temperature and the points corresponding to the controller internal line status, current status and voltage status are set on the Y axis; the points corresponding to the acquired controller status are then connected to obtain the shaded area in the diagram, and the shaded area is The product is used as the controller state coefficient, and it is matched with the preset controller state interval, and the preset controller state intervals are state interval one, state interval two, state interval three, state interval four and state interval five; if the controller state coefficient belongs to state interval one, it is a short circuit state, and a short circuit signal is generated; if the controller state coefficient belongs to state interval two, it is an open circuit state, and an open circuit signal is generated; if the controller state coefficient belongs to state interval three, it is a voltage abnormal state, and a voltage abnormal signal is generated; if the controller state coefficient belongs to state interval four, it is an overload state, and an overload signal is generated; if the controller state coefficient belongs to state interval five, it is a leakage state, and a leakage signal is generated; if the controller state coefficient does not belong to the state interval, it is a normal state, and S05 is performed; S05: The power diagnosis and analysis unit obtains and analyzes the power generation and power consumption data of the street lamp, the power generation and power consumption data including photovoltaic power generation, wind power generation, photovoltaic power generation, and wind power generation, and marks the corresponding values as j1, j2, g1, and g2; By analyzing the lighting conditions based on the device environment acquisition unit and obtaining the coverage and weather conditions, and then obtaining the specifications of the solar photovoltaic panels, each solar photovoltaic panel specification corresponds to a fixed value, matching the fixed value corresponding to the solar photovoltaic panel specification, and marking it as x1; substitute the data into the formula Output the estimated photovoltaic power generation, e is a natural number, b1, b2, b3, b4 and b5 are all preset weight factors, and their sizes are all custom values; set the abnormal power generation interval according to the estimated photovoltaic power generation; if the actual photovoltaic power generation belongs to the abnormal photovoltaic power generation interval, the actual photovoltaic power generation is compared with the middle value of the abnormal photovoltaic power generation interval. When the actual photovoltaic power generation is less than the middle value of the abnormal photovoltaic power generation interval, an abnormal photovoltaic power generation signal 1 is generated; otherwise, an abnormal photovoltaic power generation signal 2 is generated; if the actual photovoltaic power generation does not belong to the abnormal photovoltaic power generation interval, the actual photovoltaic power generation is normal power generation; calculate the actual photovoltaic power generation power through the actual photovoltaic power generation and the corresponding time, and compare it with the photovoltaic power generation power threshold. If the actual photovoltaic power generation power is less than the photovoltaic power generation power threshold, it is abnormal power, and an abnormal photovoltaic power signal is generated; otherwise, it is normal power; The wind power generation is predicted by the formula Output the expected wind power generation, where e is a natural number, x2 is the preset specification value corresponding to the wind power generation specification, b6, b7, b8 and b9 are all preset weight factors, and their sizes are custom values; set the abnormal wind power generation interval according to the expected wind power generation; if the actual wind power generation belongs to the abnormal wind power generation interval, compare the actual wind power generation with the middle value of the abnormal wind power generation interval, and when the actual wind power generation is less than the middle value of the abnormal wind power generation interval, generate abnormal wind power generation signal 1; otherwise, generate abnormal wind power generation signal 2; if the actual wind power generation does not belong to the abnormal wind power generation interval, the actual wind power generation is normal power generation; calculate the actual wind power generation power according to the actual wind power generation and the corresponding time, and compare it with the wind power generation power threshold value, if the actual wind power generation power is less than the wind power generation power threshold value, it is abnormal power, and an abnormal wind power signal is generated, otherwise, it is normal power.
[0019] The display execution unit is used to receive the sent signals and commands, analyze them, obtain the location information of the faulty street lamp, and then obtain the maintenance record of the street lamp location through the maintenance record, and at the same time obtain the camera in the location information area for observation to ensure the correctness of the diagnosis; if the received signal is an internal fault signal of the street lamp, obtain the current, voltage and temperature for statistics to obtain a diagnostic record diagram. From the data in the diagram, when the current is much smaller than or much larger than the current mean value of a period of time, the voltage is much smaller than or much larger than the voltage mean value of a period of time, and the temperature is much smaller than or much larger than the fluctuation range of a period of time, the accuracy of the diagnostic signal is ensured. The received signal is sent to the receiving end through the remote connection device, and the signal and command are displayed in the form of text at the receiving end, and then executed by the relevant operator.
[0020] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only 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 invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. A remote monitoring and diagnostic system for LED street lamps based on wireless communication, including an external stability diagnostic analysis unit, an LED lamp bead diagnostic analysis unit, a circuit diagnostic analysis unit and a power supply diagnostic analysis unit, characterized in that ； The external stability diagnosis and analysis unit analyzes the appearance state and stability of the street lamp to obtain an external stability coefficient, compares it with a preset external stability coefficient range, and generates an external stability maintenance signal if the external stability coefficient does not fall within the preset external stability coefficient range; The LED lamp bead diagnosis and analysis unit monitors and analyzes the LED lamp bead, obtains the brightness of the LED lamp bead and the state of the LED lamp bead for analysis to obtain the lamp bead coefficient, matches the lamp bead coefficient with the preset lamp bead coefficient range, and generates a replacement command and a damage signal; The line diagnosis and analysis unit performs diagnosis and analysis on the street lamp line, obtains the internal temperature and weather conditions of the street lamp and the environmental humidity data to calculate the line coefficient, compares it with the preset line leakage and insulation aging interval and the preset line short circuit interval, and generates a line aging signal and a short circuit signal; The power supply diagnosis and analysis unit obtains and analyzes the power generation and power consumption data of the street lamp, obtains the coverage rate, weather conditions and specifications of the solar photovoltaic panels, and obtains the estimated photovoltaic power generation through analysis, sets the estimated photovoltaic power generation interval, and then matches the actual photovoltaic power generation with the estimated photovoltaic power generation interval. When the actual photovoltaic power generation is less than the middle value of the abnormal photovoltaic power generation interval, an abnormal photovoltaic power generation signal 1 is generated; otherwise, an abnormal photovoltaic power generation signal 2 is generated; the actual photovoltaic power generation power is calculated from the actual photovoltaic power generation and the corresponding time, and is compared with the photovoltaic power generation power threshold. If the actual photovoltaic power generation power is less than the photovoltaic power generation power threshold, it is abnormal, and an abnormal photovoltaic power signal is generated; The wind power generation is predicted, the estimated wind power generation is obtained through data calculation, and the abnormal wind power generation interval is preset according to the estimated wind power generation. If the actual wind power generation belongs to the abnormal wind power generation interval, the actual wind power generation is compared with the middle value of the abnormal wind power interval. When the actual wind power generation is less than the middle value of the abnormal wind power interval, an abnormal wind power generation signal 1 is generated; otherwise, an abnormal wind power generation signal 2 is generated; the actual wind power generation power is calculated from the actual wind power generation and the corresponding time, and compared with the wind power generation power threshold. If the actual wind power generation power is less than the wind power generation power threshold, it is abnormal and an abnormal wind power signal is generated.
2. The LED street lamp remote monitoring and diagnosis system based on wireless communication according to claim 1 is characterized in that: It also includes a device environment acquisition unit, a controller diagnosis and analysis unit, and a display execution unit; The device environment acquisition unit is used to acquire environmental data of the location where the street lamp is set, including lighting conditions, weather conditions, surrounding environment, temperature, humidity, wind speed and air density; analyze the environmental data, and obtain the lighting condition value through the lighting condition analysis; The controller diagnosis and analysis unit analyzes the street lamp controller fault, substitutes the acquired data into the model diagram to obtain the controller diagnosis and analysis diagram, and then uses the shaded area in the diagram as the controller state coefficient, matches it with the preset controller state interval, and generates a circuit breaker signal or a voltage abnormality signal or an overload signal or a leakage signal; The display execution unit is used to receive the signals and commands sent for analysis to ensure the accuracy of the diagnostic signals; the received signals are sent to the receiving end through the remote connection device, and the signals and commands are displayed in the form of text at the receiving end, and then executed by the relevant operators.
3. The LED street lamp remote monitoring and diagnosis system based on wireless communication according to claim 1 is characterized in that: The specific process of the external stability diagnosis and analysis unit analyzing the appearance state and stability of the street lamp to obtain the external stability coefficient is as follows: The appearance information of the street lamp is obtained through the camera, and then the stable state of the street lamp is obtained through the stable vibration sensing device; the appearance information of the street lamp includes lampshade damage, lampshade missing, lampshade cracks, lamp pole tilt, lamp pole distortion, lamp pole breakage and lamp pole corrosion; the stable state obtains a stable value through the stable vibration sensing device, and matches it with the preset stable intervals. The preset stable intervals are stable interval one, stable interval two and stable interval three. If the stable value is within the stable interval one, it is a normal stable state; if the stable value is within the stable interval two, it is a slight shaking state; if the stable value is within the stable interval three, it is a violent shaking state; then substitute the data into the formula to calculate the external stability coefficient.
4. The LED street lamp remote monitoring and diagnosis system based on wireless communication according to claim 1 is characterized in that: The lamp bead coefficient is obtained by obtaining the brightness of the LED lamp bead and the state of the LED lamp bead and performing assignment calculation. The specific process is: The LED lamp bead status includes normal lighting, flashing or unable to light up. The brightness of the lamp bead is compared with the preset brightness of the corresponding usage time. If the brightness of the lamp bead is greater than the preset brightness of the corresponding usage time, it is normal and marked as ld1; otherwise, it is abnormal and marked as ld2, collectively referred to as ld; normal lighting and unable to light up are assigned values, normal lighting and unable to light up are zl, zl=0 is unable to light up, and flashing is sx; then the lamp bead life data and replacement records are obtained through historical replacement records, and the remaining life time of the lamp bead is calculated, and the lamp bead coefficient is output after analysis.
5. The LED street lamp remote monitoring and diagnosis system based on wireless communication according to claim 2 is characterized in that: The specific process of calculating the illumination condition value is as follows: By marking the temperature, humidity, wind speed and air density as l, s, k and v respectively; analyzing the environmental data, the lighting condition outputs the lighting condition value by analyzing the solar altitude angle, azimuth, sunshine time and light intensity, and matching the lighting condition value with the preset lighting condition interval, the preset lighting condition interval is lighting condition interval 1, lighting condition interval 2 and lighting condition interval 3; If the light condition value GZTJ belongs to the light condition interval 1, it is a high-quality light condition; If the light condition value GZTJ belongs to the light condition interval 2, it is a general light condition; If the light condition value GZTJ belongs to the light condition interval 3, it is a poor light condition.
6. The LED street lamp remote monitoring and diagnosis system based on wireless communication according to claim 2 is characterized in that: Substituting the acquired data into the model diagram to obtain the controller diagnostic analysis diagram is specifically: The communication status connection normal and connection abnormal points are set on the Y-axis, and the temperature point corresponding to the controller temperature and the points corresponding to the controller internal line state, current state and voltage state are set on the Y-axis; then the points corresponding to the acquired controller state are connected to obtain the shaded area in the figure, and the shaded area is used as the controller state coefficient, which is matched with the preset controller state interval. If the controller state coefficient belongs to state interval one, it is a short-circuit state and a short-circuit signal is generated; if the controller state coefficient belongs to state interval two, it is an open-circuit state and an open-circuit signal is generated; if the controller state coefficient belongs to state interval three, it is an abnormal voltage state and a abnormal voltage signal is generated; if the controller state coefficient belongs to state interval four, it is an overload state and an overload signal is generated; if the controller state coefficient belongs to state interval five, it is a leakage state and a leakage signal is generated.
7. The LED street lamp remote monitoring and diagnosis system based on wireless communication according to claim 2 is characterized in that: The display execution unit is used to receive the sent signals and commands for analysis to ensure the accuracy of the diagnostic signals. The specific process is as follows: By obtaining the location information of the faulty street lamp and the maintenance record of the street lamp location, and obtaining the camera in the location information area for observation, if the received signal is an internal fault signal of the street lamp, the current, voltage and temperature are obtained for statistics to obtain a diagnostic record graph. From the data in the graph, when the current is much smaller than or much larger than the current average over a period of time, the voltage is much smaller than or much larger than the voltage average over a period of time, and the temperature is much smaller than or much larger than the fluctuation range over a period of time, the accuracy of the diagnostic signal is ensured.