CN115950593A - Wind-solar complementary wireless water leakage induction positioning detection system and method for Internet of things - Google Patents
Wind-solar complementary wireless water leakage induction positioning detection system and method for Internet of things Download PDFInfo
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Abstract
The application provides an Internet of things wind-solar complementary wireless water leakage induction positioning detection system and a method thereof, which are applied to the technical field of water leakage detection, wherein the method comprises the steps of obtaining a distribution diagram of a photovoltaic building integrated solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and an installation plate; detecting whether a hidden water leakage danger exists at a joint part between the solar cell panel and the mounting plate, wherein a water leakage induction line adopts a voltage mode to detect water leakage; calculating a detection signal of a water leakage induction line laid at a combination part between the solar cell panel and the mounting plate by using an early warning monitoring platform MCU microprocessor; transmitting the water leakage positioning data obtained by early warning operation analysis to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI; the problems of difficult positioning, large error, low maintenance efficiency, lack of early warning measures and the like of the BIPV building integrated roof leakage point are solved.
Description
Technical Field
The application relates to the technical field of water leakage detection, in particular to a wind-solar complementary wireless water leakage induction positioning detection system and method of the Internet of things.
Background
The solar photovoltaic building integration is a new category of application of a solar photovoltaic power generation technology in the field of buildings, a solar photovoltaic power generation assembly is arranged on the outer surface of an enclosure structure of a building to obtain green electric power, and the photovoltaic building integration can be divided into two categories, namely the category that a photovoltaic assembly is directly paved and arranged on the outer surface (BAPV) of the existing building enclosure structure, the building enclosure structure is firstly used, the photovoltaic assembly is arranged, and the photovoltaic assembly is attached to the existing building enclosure structure and is called a constructed photovoltaic building system for short. The other type is integration of the photovoltaic module and the building function, the photovoltaic module is not only a power generation unit of a building, but also an enclosure structure of the building, and has building functions of heat insulation, water resistance, heat preservation and the like, and the enclosure structure of the building and the photovoltaic power generation module are mutually integrated, namely a building material type photovoltaic building system. The two types of photovoltaic building integrated solutions are well applied to the existing building field. The solar cell panel is a photoelectric semiconductor slice which directly generates electricity by utilizing sunlight, consists of a plurality of solar cell panels according to assembled parts, is a core part in a solar power generation system, needs to be positioned and subjected to water leakage detection when the solar cell panel has water leakage in use, and has the following problems in the existing positioning and water leakage detection of the solar cell panel:
(1) The building color steel tile roof is lack of a water leakage detection system, when the roof leaks water, water leakage points are mostly checked manually, and the water leakage points are often judged wrongly;
(2) The detection mode is that water leakage is judged after more water leakage occurs and then an alarm is given, but at the moment, roof water leakage is caused to cause risk hazards such as damage to indoor articles of a building or influence on production, and the use is extremely inconvenient;
(3) When water leakage diagnosis and maintenance are carried out, a large-area solar panel needs to be disassembled, and the operation is very complicated;
(4) Because the roof of the traditional factory building adopts the design of the shape of the Chinese character 'ren', and the light solar panel is arranged on the shape of the Chinese character 'ren', if maintenance happens, the solar panel is easy to be stepped down when people walk on the roof, and further loss is caused, so that the accurate detection of water leakage positioning is particularly important.
Refer to patent application No. CN 201911320255.5-solar water heater water pipe leak hunting device and disclose: solar water heater water pipe leak hunting device includes: the pressure sensor is used for detecting a water flow pressure value and a water flow pulsation pressure frequency spectrum value in the water flow pipeline; the controller is used for judging whether the water flow pipeline is in a water leakage working condition or not according to the water flow pressure value and the water flow pulsation pressure frequency spectrum value; the solar power supply is connected to the pressure sensor and the controller and used for converting solar energy into current and utilizing the converted current to supply power for the pressure sensor and the controller, wherein the solar power supply is also used for heating the stored water in the water tank; the controller is also connected to the ammeter and the storage battery and is used for controlling the power supply of the pressure sensor and the storage battery by the storage battery when the current value detected by the ammeter is lower than a set current threshold value. Therefore, the solar water heater is subjected to water leakage detection, and the reliability and safety of power supply are guaranteed.
The prior art provides a method for detecting water leakage, but the scheme aims at that the pressure sensor detects the water flow pressure value and the water flow pulsation pressure frequency spectrum value in a water flow pipeline with errors, and the pressure sensor is difficult to detect when the water leakage amount of a solar water pipe is small, so that the waste of water resources can be caused in the past, and therefore the wind-solar complementary wireless water leakage induction positioning detection system and the method for the wind-solar complementary wireless water leakage induction positioning detection system for the internet of things are used for detecting the roof water leakage induction of the integrated photovoltaic building.
Disclosure of Invention
The application aims to provide an Internet of things wind-solar complementary wireless water leakage induction positioning detection system and method, and aims to solve the problems that when a roof leaks water, water leakage points are mostly checked manually, misjudgment of the water leakage points often occurs, and roof water leakage is difficult to find in time.
In order to achieve the above purpose, the present application provides the following technical solutions:
the application provides a wind-solar complementary wireless water leakage induction positioning detection method for the Internet of things, which comprises the following steps:
s1: the method comprises the steps of obtaining a distribution diagram of a photovoltaic building integrated solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and a mounting plate, wherein the positioning water leakage induction lines are installed on the combination part between the solar panel and the mounting plate in a surrounding mode;
s2: detecting whether a hidden water leakage danger exists at a joint part between the solar cell panel and the mounting plate, wherein a water leakage induction line adopts a voltage mode to detect water leakage;
s3: calculating detection signals of water leakage induction lines laid at the combination part between the solar cell panel and the mounting plate by using an early warning monitoring platform MCU microprocessor, and analyzing and comparing the detection signals with general layout diagram data of the photovoltaic building integrated roof water leakage induction lines in a memory through a mode identification and optimization algorithm;
s4: and transmitting the water leakage positioning data obtained by early warning operation analysis to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI (wireless fidelity), and reminding operation and maintenance workers to carry out maintenance treatment on the water leakage point.
Further, whether the joint between the solar cell panel and the mounting plate is detected to have a hidden danger of water leakage or not, the water leakage sensing line adopts a voltage mode to detect water leakage, and the method comprises the following steps: whether the voltage values at two ends of the water leakage induction line are different or not is judged and analyzed through detecting the preset voltage values at the joint part between the solar cell panel and the mounting plate, whether the liquid leakage occurs or not is judged, and whether the resistance value exceeds the preset value or not is judged.
Furthermore, after the solar cell panel is laid and the positioning water leakage induction line at the combined part is installed, the photovoltaic building integrated roof inputs the data of the positioning water leakage induction line installation layout diagram into an early warning information storage system, when a water leakage point is detected by a detection module, an early warning signal is automatically triggered, and the early warning module accurately positions the water leakage point through pattern recognition, operation, layout diagram comparison analysis and optimization algorithm; the optimization algorithm obtains the water leakage positioning point by taking the minimum quadratic error value of the measured value and the calculated value at the detection point when water leakage occurs as an objective function, and positioning of the detection point is completed, wherein the objective function is specifically represented as:
in the formulaIn order to detect the number of points, T is the detection time sequence, is greater than or equal to>Is a calculated value of a detection point, is selected>The detection value is the monitoring value of the detection point, t is the time of the detection point, and the decision variable is the resistance value variable of the water leakage induction line and the position distance variable of the water leakage positioning point.
Further, the step of obtaining a distribution diagram of a solar cell panel, obtaining a distribution diagram of a photovoltaic building integrated solar cell panel, installing a positioning water leakage induction line at a joint between the solar cell panel and a mounting plate, and installing the positioning water leakage induction line at the joint between the solar cell panel and the mounting plate in a surrounding manner includes: processing the distribution diagram of the obtained solar panel, dividing the distribution diagram of the solar panel into small images of corresponding binding parts, averaging each pixel point of the small images to obtain an average image, obtaining a new image by using the difference between the current image and the average image, and finally judging whether the pixels in the new image belong to the average image or not through a determined threshold, wherein the specific algorithm is as follows:
wherein, B i (x, y) is the ith image, n is the number of images, B (x, y) is the average image, f i (x, y) is the current image, G i (x, y) is the binarized difference image, and TH is a specific threshold.
Further, adopt thing networking wireless transmission or WIFI with the water leakage positioning data that early warning operation analysis obtained to convey audible-visual annunciator and user information receiving terminal with data transmission, remind the operation and maintenance staff to examine in the step of maintenance processing to the water leakage point, include: and sending the early warning signal to a monitoring center platform, and sending early warning information to a preset user terminal by the monitoring center platform to prompt a user to perform early warning processing in time.
The application also provides complementary wireless response location detecting system that leaks of thing networking scene includes:
an acquisition module: obtaining a distribution diagram of a solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and an installation plate, wherein the positioning water leakage induction lines are installed on the combination part between the solar panel and the installation plate in a surrounding mode;
a detection module: detecting whether a hidden water leakage danger exists at a joint part between the solar cell panel and the mounting plate or not, and performing detection and early warning on water leakage by using a water leakage induction line in a voltage mode;
the early warning module: when the detection module detects a water leakage point, an early warning signal is automatically triggered, the early warning module analyzes the specific water leakage point through pattern recognition, operation and comparison, and the optimization algorithm can more accurately position the water leakage point of the combination part between the solar cell panel and the mounting plate;
a sending module: the water leakage positioning data obtained by the early warning module is transmitted to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI (wireless fidelity), and operation and maintenance workers are reminded to carry out maintenance treatment on the water leakage point;
a power supply module: the green electric energy obtained by wind power generation and photovoltaic power generation equipment is accessed into an energy storage battery through a direct current charge-discharge controller, a current stabilizing device and a voltage stabilizing device, the modules in the detection system, such as acquisition, detection, monitoring and sending, are connected by circuits, the required electric power during operation is supplied by a power module, extra electric power outside the system power consumption is stored in a storage battery, and when wind power generation and photovoltaic power generation stop working, such as small wind, rainy days, nights and the like, the storage battery discharges to ensure that the detection system can continuously work for 24 hours, thereby realizing the purposes of reducing the consumption of fossil energy such as commercial power and the like and arranging electric power lines.
The application also provides computer equipment which comprises a memory and a processor, wherein the memory stores computer programs, and the processor executes the computer programs to realize the steps of the wind-solar complementary wireless water leakage induction positioning detection method of the Internet of things.
The application also provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, realizes the steps of the wind-solar complementary wireless water leakage induction positioning detection method for the internet of things.
The application provides a wind-solar complementary wireless water leakage induction positioning detection system and method for the Internet of things, and the system has the following beneficial effects:
performing image processing on the obtained distribution diagram of the solar cell panel so as to detect the distribution plate block of the corresponding water leakage point more clearly and prevent the occurrence of judgment errors;
whether the solar cell panel leaks water is judged by adopting a voltage detection mode, the detection mode can timely judge and transmit data to an indoor audible and visual alarm and a user information receiving terminal when the water leakage condition occurs, and can also send an early warning signal to a monitoring center platform, and then the monitoring center platform sends early warning information to a preset user terminal to prompt a user to perform early warning treatment in time, so that the purposes of unattended operation and improvement of the utilization rate of the existing monitoring center platform are achieved;
according to the detection points distributed on each plate of the solar cell panel, when water leakage occurs, the water leakage positioning points are obtained by using an optimization algorithm, the problems of errors and low efficiency in the process of manually monitoring, inquiring and detecting the water leakage points are solved, the problem of low efficiency of manual operation and maintenance management is solved, and timely treatment when water leakage occurs is realized.
Drawings
Fig. 1 is a schematic flow chart of a wind-solar complementary wireless water leakage induction positioning detection method of the internet of things according to an embodiment of the present application;
fig. 2 is a structural block diagram of an internet-of-things wind-solar complementary wireless water leakage induction positioning detection system according to an embodiment of the present application;
FIG. 3 is a block diagram illustrating a computer device according to an embodiment of the present application;
fig. 4 is a circuit diagram of water leakage detection by voltage method.
The implementation, functional features and advantages of the present application will be further described with reference to the embodiments, which are illustrated in the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a schematic flow diagram of a wind-solar complementary wireless water leakage induction positioning detection method for the internet of things is provided;
the application provides a wind-solar complementary wireless water leakage induction positioning detection method for the Internet of things, which comprises the following steps:
s1: obtaining a distribution diagram of a solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and a mounting plate, wherein the positioning water leakage induction lines are installed on the combination part between the solar panel and the mounting plate in a surrounding mode; processing the distribution diagram of the obtained solar panel, dividing the distribution diagram of the solar panel into small images of corresponding distribution plates, averaging each pixel point of the small images to obtain an average image, obtaining a new image by using the difference between the current image and the average image, and finally judging whether the pixels in the new image belong to the average image or not through a determined threshold, wherein the specific algorithm is as follows:
wherein, B i (x, y) is the ith image, n is the number of images, B (x, y) is the average image, f i (x, y) is the current image, G i (x, y) is a difference image after binarization, and TH is a determined threshold.
In this step, since the electroluminescence detection of the solar panel exists in the closed dark box and the environment and temperature around the dark box are also changed frequently, the obtained distribution diagram of the solar panel needs to be subjected to image detection, and the solar module is separated from the image to obtain a correct distribution diagram of the solar panel, so that the preset distribution plate can be conveniently and accurately positioned; wherein the location induction line that leaks includes: the solar panel comprises a cable joint, a cable terminal, a jumper connection cable, a detection cable and a leading-out cable, wherein the cable joint is installed at the beginning of the solar panel, the cable terminal is installed at the tail end of the solar panel, the jumper connection cable is used for connecting a combination part between the solar panel and a mounting plate, the detection cable is used for sensing, positioning and detecting whether water leaks from the combination part between the solar panel and the mounting plate, and when a preset distribution plate is judged to leak water, the leading-out cable can drain the water in the preset distribution plate; the position of location induction line installation of leaking is far away from the environment of high temperature fire source, magnetic field and moist many dusts, and the joint of cable chooses high-quality environmental protection polyvinyl chloride material for use, and integration waterproof construction has high fire-retardant, high temperature resistant antidetonation anti-falling characteristic, can prolong as required, and the cable is based on the electrically conductive detection principle of water, as long as the water appears in the optional position along the line can all detect rapidly, in case detect that there is water to soak, starts the warning promptly and pinpoints the position of leaking.
S2: detecting whether a joint part between the solar cell panel and the mounting plate has a water leakage hidden danger or not, wherein a water leakage induction line performs water leakage detection in a voltage mode; whether the voltage values at two ends of the water leakage induction line are different or not is judged and analyzed by detecting whether the voltage values at two ends of the water leakage induction line are different, and whether the resistance value exceeds a preset value or not is judged.
In this step, as shown in fig. 4, the principle of performing water leakage detection by using a voltage method is that when water leaks to the solar cell panel, the resistance value between the two electrodes changes greatly, whether water leakage exists is determined, the voltage of the bridge circuit is used for detecting the change of the resistance value by detecting the voltage of the bridge, the water leakage detection electrode is considered to be a variable resistor and serves as one branch of the bridge, the resistances of the other three branches are equal, a specific resistance value can be determined according to the resistances of the water leakage electrodes in the presence and absence of water, the range of the resistance value is between the resistance value in the presence and absence of water, the middle value of the resistance value can be taken as the value of the other three-way resistor, in the detection bridge, if the detection electrode has water leakage, the resistance value is larger, so V + > V-, if the detection electrode has no water leakage, the resistance value is smaller, so V + < V-, so that whether water leakage exists can be accurately detected, the level of the voltage comparator represents the presence or absence of water leakage, specifically, the XW1000 positioning induction line is used, the resistance is uniform, and the leakage detection system has high stability and the detection accuracy and the detection stability of the detection system is important parameters for detecting water leakage; when the water leakage point at any position of the cable is detected, the cable is matched with the XW water leakage controller, and once the water intrusion is detected, the alarm can be started and the water leakage position can be accurately indicated. The XW1000 water leakage induction line adopts a conductive polymerization technology and a fluorine-containing polymer material, so that the XW1000 water leakage induction line has strong mechanical property and corrosion resistance and abrasion resistance, and a spiral structure of the cable ensures that no metal is exposed, and can be used repeatedly even in a corrosive environment.
S3: the method comprises the following steps that a warning monitoring platform MCU microprocessor is utilized to calculate detection signals of water leakage induction lines laid at a combination part between a solar cell panel and a mounting plate, the detection signals are analyzed and compared with general arrangement diagram data of the water leakage induction lines of a photovoltaic building integrated roof in a memory through a mode recognition and optimization algorithm, the general arrangement diagram data of the water leakage induction lines of the photovoltaic building integrated roof in the memory are analyzed and compared, the arrangement diagram data of the positioning water leakage induction lines are input into a warning information storage system after the solar cell panel is laid and the positioning water leakage induction lines of the combination part are installed, when a water leakage point is detected by a detection module, a warning signal is automatically triggered, and the warning module accurately positions the water leakage point through the mode recognition, the operation and arrangement diagram comparison analysis and the optimization algorithm; the optimization algorithm obtains the water leakage positioning point, and the water leakage positioning point is a target function which takes the minimum quadratic error value of a measured value and a calculated value at the detection point when water leakage occurs to complete the positioning of the detection point, wherein the target function is specifically expressed as follows:
in the formulaIn order to detect the number of points, T is the detection time sequence, is greater than or equal to>Is a calculated value of a detection point, based on the detection point>The detection value is the monitoring value of the detection point, t is the time of the detection point, and the decision variable is the resistance value variable of the water leakage induction line and the position distance variable of the water leakage positioning point.
S4: transmitting the water leakage positioning data obtained by early warning operation analysis to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI (wireless fidelity), and reminding operation and maintenance workers to carry out detection and maintenance treatment on a water leakage point; and sending the early warning signal to a monitoring center platform, and sending early warning information to a preset user terminal by the monitoring center platform to prompt a user to perform early warning processing in time.
In the step, after water leakage detection data and the water leakage positioning points are obtained, the roof data are transmitted to a detection host machine in the house in a wireless transmission mode, the detection host machine sends signals to an audible and visual alarm and a user terminal, and meanwhile, an automatic valve controls the preset distribution plates; after receiving the signals through the audible and visual alarm, the monitoring center platform sends the positions of the preset distribution plates, which are positioned in an induction mode, to the maintenance center, and automatically closes the valve; the obtained water leakage detection data and the water leakage positioning points are transmitted in a wireless transmission mode of the Internet of things or WiFi (wireless fidelity), the wireless transmission mode is a mode of transmitting data by using a wireless technology, the data are modulated through a digital microwave channel and transmitted out through an antenna, the receiving end receives signals through the antenna, microwave despreading is performed, and the data are finally restored.
Referring to fig. 2, the invention further provides an internet-of-things wind-solar complementary wireless water leakage induction positioning detection system, which includes:
an acquisition module: obtaining a distribution diagram of a solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and a mounting plate, wherein the positioning water leakage induction lines are installed on the combination part between the solar panel and the mounting plate in a surrounding mode;
a detection module: detecting whether a hidden water leakage danger exists at a joint part between the solar cell panel and the mounting plate or not, and performing detection and early warning on water leakage by using a water leakage induction line in a voltage mode;
the early warning module: when the detection module detects a water leakage point, an early warning signal is automatically triggered, the early warning module analyzes the specific water leakage point through pattern recognition, operation and comparison, and the optimization algorithm can more accurately position the water leakage point of the combination part between the solar cell panel and the mounting plate;
a sending module: the water leakage positioning data obtained by the early warning module is transmitted to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI (wireless fidelity), and operation and maintenance workers are reminded to carry out maintenance treatment on the water leakage point;
a power supply module: the green electric energy obtained by wind power generation and photovoltaic power generation equipment is accessed to an energy storage battery through a direct current charge-discharge controller, a current stabilizing and voltage stabilizing device, module circuits in a detection system, such as acquisition, detection, monitoring and sending, are connected, the electric power required during operation is supplied by a power module, surplus electric power outside the system power consumption is stored in a storage battery, and when wind power generation and photovoltaic power generation stop working, such as small wind, rainy days, nights and the like, the storage battery discharges to ensure that the detection system continuously works for 24 hours, thereby realizing the purposes of reducing the consumption of fossil energy sources, such as commercial power and the like, and arranging electric power lines.
In one embodiment, the power supply of the solar cell panel is a technology for converting wind energy and solar energy into electric energy by using a wind-solar complementary technology, the electric energy is stored by a storage battery and then used for lighting, two power generation systems complement each other in the same device, and the power supply is used for supplying power to equipment.
Referring to fig. 3, a computer device, which may be a server and whose internal structure may be as shown in fig. 3, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer device is used for storing data such as water leakage detection data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to realize the wind-solar complementary wireless water leakage induction positioning detection method of the Internet of things.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is only a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects may be applied.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the method for detecting wind-solar hybrid wireless water leakage induction and positioning of the internet of things are implemented, specifically:
s1: the method comprises the steps of obtaining a distribution diagram of a photovoltaic building integrated solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and a mounting plate, wherein the positioning water leakage induction lines are installed on the combination part between the solar panel and the mounting plate in a surrounding mode;
s2: detecting whether a joint part between the solar cell panel and the mounting plate has a water leakage hidden danger or not, wherein a water leakage induction line performs water leakage detection in a voltage mode;
s3: calculating detection signals of water leakage induction lines laid at the combination part between the solar cell panel and the mounting plate by using an early warning monitoring platform MCU microprocessor, and analyzing and comparing the detection signals with general layout diagram data of the photovoltaic building integrated roof water leakage induction lines in a memory through a mode identification and optimization algorithm;
s4: and transmitting the water leakage positioning data obtained by early warning operation analysis to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI (wireless fidelity), and reminding operation and maintenance workers to carry out maintenance treatment on the water leakage point.
To sum up, this application detects solar cell panel and leaks by the response, it detects to leak the induction line through the installation location, whether the method that it detected adopts the mode of voltage to judge to leak, can realize when leaking even infiltration appears in photovoltaic building integration roof, arouse early warning signal, it in time handles the maintenance to provide operation and maintenance personnel, prevent to cause the roof to leak and cause the damage and the destruction of indoor property, location to the position of leaking the water spot through optimizing the algorithm accuracy, time cost is saved, avoid stirring the roof solar cell panel by a large scale because of can't find the water spot that leaks accurately, the work efficiency of examining the maintenance has been improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware associated with instructions of a computer program, which may be stored on a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (SSRDRAM), enhanced SDRAM (ESDRAM), synchronous Link (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one of 8230, and" comprising 8230does not exclude the presence of additional like elements in a process, apparatus, article, or method comprising the element.
The above description is only for the preferred embodiment of the present application and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are intended to be included within the scope of the present application.
Although embodiments of the present application have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A wind-solar complementary wireless water leakage induction positioning detection method for the Internet of things is characterized by comprising the following steps:
s1: the method comprises the steps of obtaining a distribution diagram of a photovoltaic building integrated solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and a mounting plate, wherein the positioning water leakage induction lines are installed on the combination part between the solar panel and the mounting plate in a surrounding mode;
s2: detecting whether a hidden water leakage danger exists at a joint part between the solar cell panel and the mounting plate, wherein a water leakage induction line adopts a voltage mode to detect water leakage;
s3: calculating detection signals of water leakage induction lines laid at the combination part between the solar cell panel and the mounting plate by using an early warning monitoring platform MCU microprocessor, and analyzing and comparing the detection signals with general layout diagram data of the photovoltaic building integrated roof water leakage induction lines in a memory through a mode identification and optimization algorithm;
s4: and transmitting the water leakage positioning data obtained by early warning operation analysis to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI (wireless fidelity), and reminding operation and maintenance workers to carry out maintenance treatment on the water leakage point.
2. The wind-solar complementary wireless water leakage induction positioning detection method of the internet of things of claim 1, wherein the step of detecting whether water leakage hidden danger exists at the joint between the solar cell panel and the mounting plate and detecting water leakage by using the water leakage induction line in a voltage mode comprises the following steps: whether the voltage values at two ends of the water leakage induction line are different or not is judged and analyzed by detecting whether the voltage values at two ends of the water leakage induction line are different, and whether the resistance value exceeds a preset value or not is judged.
3. The internet of things wind-solar complementary wireless water leakage induction positioning detection method according to claim 1, characterized in that after the solar cell panel is laid and the positioning water leakage induction line at the joint part is installed on the integrated roof of the photovoltaic building, the data of the positioning water leakage induction line installation layout diagram is input into the early warning information storage system, when the detection module detects a water leakage point, an early warning signal is automatically triggered, and the early warning module accurately positions the water leakage point through mode identification, operation, layout diagram comparison analysis and optimization algorithm; the optimization algorithm obtains the water leakage positioning point by taking the minimum quadratic error value of the measured value and the calculated value at the detection point when water leakage occurs as an objective function, and positioning of the detection point is completed, wherein the objective function is specifically represented as:
in the formulaIn order to detect the number of points, T is the detection time sequence, is greater than or equal to>Is a calculated value of a detection point, is selected>The detection value of the detection point is t, the time of the detection point is t, and the decision variable is a resistance value variable of the water leakage induction line and a position distance variable of the water leakage locating point.
4. The internet-of-things wind-solar complementary wireless water leakage induction positioning detection method according to claim 1, wherein the step of obtaining a distribution diagram of the photovoltaic building integrated solar panel, installing positioning water leakage induction lines at the joint between the solar panel and the mounting plate, and installing the positioning water leakage induction lines at the joint between the solar panel and the mounting plate in a surrounding manner comprises the following steps: processing the distribution diagram of the obtained solar panel, dividing the distribution diagram of the solar panel into small images of corresponding binding parts, averaging each pixel point of the small images to obtain an average image, obtaining a new image by using the difference between the current image and the average image, and finally judging whether the pixels in the new image belong to the average image or not through a determined threshold, wherein the specific algorithm is as follows:
wherein, B i (x, y) is the ith image, n is the number of images, B (x, y) is the average image, f i (x, y) is the current image, G i (x, y) is a difference image after binarization, and TH is a determined threshold.
5. The Internet of things wind-solar complementary wireless water leakage induction positioning detection method according to claim 1, wherein the step of transmitting the water leakage positioning data obtained by early warning operation analysis to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI so as to remind operation and maintenance workers to perform detection, maintenance and treatment on water leakage points comprises the following steps: and sending the early warning signal to a monitoring center platform, and sending early warning information to a preset user terminal by the monitoring center platform to prompt a user to perform early warning processing in time.
6. An Internet of things wind-solar complementary wireless water leakage induction positioning detection system is characterized in that the Internet of things wind-solar complementary wireless water leakage induction positioning detection method according to any one of claims 1-5 is adopted, and the positioning detection system comprises:
an acquisition module: obtaining a distribution diagram of a solar panel, and installing positioning water leakage induction lines on a combination part between the solar panel and a mounting plate, wherein the positioning water leakage induction lines are installed on the combination part between the solar panel and the mounting plate in a surrounding mode;
a detection module: detecting whether a water leakage hidden danger exists at a joint part between the solar cell panel and the mounting plate or not, and performing water leakage detection by using a water leakage induction line in a voltage mode;
the early warning module: when the detection module detects a water leakage point, an early warning signal is automatically triggered, the early warning module analyzes the specific water leakage point through pattern recognition, operation and comparison, and the optimization algorithm can more accurately position the water leakage point of the combination part between the solar cell panel and the mounting plate;
a sending module: the water leakage positioning data obtained by the early warning module is transmitted to an audible and visual alarm and a user information receiving terminal by adopting Internet of things wireless transmission or WIFI (wireless fidelity), and operation and maintenance workers are reminded to carry out detection and maintenance treatment on water leakage points;
a power supply module: the green electric energy obtained by wind power generation and photovoltaic power generation equipment is accessed into an energy storage battery through a direct current charge-discharge controller, a current stabilizing device and a voltage stabilizing device, the modules in the detection system, such as acquisition, detection, monitoring and sending, are connected by circuits, the required electric power during operation is supplied by a power module, extra electric power outside the system power consumption is stored in a storage battery, and when wind power generation and photovoltaic power generation stop working, such as small wind, rainy days, nights and the like, the storage battery discharges to ensure that the detection system can continuously work for 24 hours, thereby realizing the purposes of reducing the consumption of fossil energy such as commercial power and the like and arranging electric power lines.
7. Computer equipment comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the steps of the method for detecting the wind-solar hybrid wireless water leakage induction and location of the internet of things according to any one of claims 1 to 5.
8. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the internet of things wind-solar hybrid wireless water leakage induction positioning detection method according to any one of claims 1 to 5.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104614126A (en) * | 2015-02-13 | 2015-05-13 | 郑州能通网络技术有限公司 | Leakage monitoring method for building in steel-frame structure based on BIM (Building Information Modeling) technology |
CN105043991A (en) * | 2015-06-08 | 2015-11-11 | 山东雅百特科技有限公司 | Intelligent metal structure monitoring system |
CN113588672A (en) * | 2021-09-29 | 2021-11-02 | 武汉绿色塑料包装有限公司 | Quality detection method for plastic product |
CN114511014A (en) * | 2022-01-21 | 2022-05-17 | 北京城建勘测设计研究院有限责任公司 | Subway tunnel water leakage detection system and method based on image deep learning algorithm |
CN115719464A (en) * | 2022-11-22 | 2023-02-28 | 浙江省计量科学研究院 | Water meter durability device water leakage monitoring method based on machine vision |
CN115787937A (en) * | 2022-11-11 | 2023-03-14 | 南昌安道智能技术有限公司 | Light photovoltaic module building integrated structure and construction method |
-
2023
- 2023-03-15 CN CN202310247692.9A patent/CN115950593A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104614126A (en) * | 2015-02-13 | 2015-05-13 | 郑州能通网络技术有限公司 | Leakage monitoring method for building in steel-frame structure based on BIM (Building Information Modeling) technology |
CN105043991A (en) * | 2015-06-08 | 2015-11-11 | 山东雅百特科技有限公司 | Intelligent metal structure monitoring system |
CN113588672A (en) * | 2021-09-29 | 2021-11-02 | 武汉绿色塑料包装有限公司 | Quality detection method for plastic product |
CN114511014A (en) * | 2022-01-21 | 2022-05-17 | 北京城建勘测设计研究院有限责任公司 | Subway tunnel water leakage detection system and method based on image deep learning algorithm |
CN115787937A (en) * | 2022-11-11 | 2023-03-14 | 南昌安道智能技术有限公司 | Light photovoltaic module building integrated structure and construction method |
CN115719464A (en) * | 2022-11-22 | 2023-02-28 | 浙江省计量科学研究院 | Water meter durability device water leakage monitoring method based on machine vision |
Non-Patent Citations (1)
Title |
---|
赵桓 等: "基于群体智能优化算法的供水管网漏损定位研究", 水电能源科学, vol. 40, no. 7, pages 128 * |
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