Grid installation pre-check system

Abstract

The application discloses a kind of power grid installation pre-inspection systems, comprising: wind detector, for detecting wind on roof after output wind data;Illumination detector, for detecting light on roof after output illumination data;Roof bearing detector, for detecting the bearing condition of roof, and output bearing data;Pre-inspection analysis server, the wind detector, illumination detector and roof bearing detector are all connected with pre-inspection analysis server communication.This application's power grid installation pre-inspection system, by the setting of wind detector, illumination detector and roof bearing detector, the wind of current roof, illumination intensity and bearing intensity can be effectively detected, and then realize an automatic pre-inspection effect, effectively increase the pre-inspection efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to a pre-check system, more particularly to a power grid installation pre-check system. BACKGROUND

[0002] The distributed photovoltaic power station is a relatively hot project at present, which places photovoltaic panels on the roof of each user, which can effectively avoid the problem of insufficient land occupation of existing centralized photovoltaic power stations, so more and more people choose distributed photovoltaic power stations.

[0003] However, compared with the centralized photovoltaic power station mode, since the distributed photovoltaic power station is installed on the roof, there are many factors to be considered in the installation process compared with the centralized photovoltaic power station, the light and wind conditions on the roof and the roof bearing capacity need to be understood, so as to judge whether the current roof is suitable for installing the photovoltaic power station or how to install the photovoltaic power station. At present, there is no efficient and specific analysis and processing of various parameters of the roof before installing the photovoltaic power station in the prior art, so that the installation efficiency of the existing distributed photovoltaic power station is low. SUMMARY

[0004] In view of the deficiencies in the prior art, the purpose of the present application is to provide a power grid installation pre-check system which can effectively increase the installation efficiency of the photovoltaic power station.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a power grid installation pre-check system, comprising:

[0006] A wind detector is used to detect the wind on the roof and output wind data;

[0007] A light detector is used to detect the light on the roof and output light data;

[0008] A roof bearing detector is used to detect the bearing capacity of the roof and output bearing data;

[0009] A pre-check analysis server, the wind detector, the light detector and the roof bearing detector are all in communication connection with the pre-check analysis server, so as to input the wind data, the light data and the bearing data to the pre-check analysis server, the pre-check analysis server is in communication connection with the external Internet, and the corresponding installation area historical wind data and historical light data are called, the input wind data and light data are adjusted through the historical wind data and historical light data, the representative wind data and the representative light data of the current installation position are obtained, and the required installation area and installation mode of the photovoltaic panel are calculated through the representative wind data, the representative light data and the bearing data.

[0010] As a further improvement of the present application, the pre-check analysis server adjusts the specific steps of obtaining the representative wind data and the representative illumination data as follows:

[0011] Step one, construct a coordinate graph, input the annual wind data and the annual illumination data into the coordinate graph, form an annual representation curve on the coordinate graph, and input the received wind data and illumination data into the coordinate graph, form a current representation curve on the coordinate graph;

[0012] Step two, calculate the difference value between each point on the annual representation curve and the current representation curve, calculate the average value of each difference value obtained, and adjust the current representation curve according to the average value;

[0013] Step three, extract the wind data and illumination data corresponding to the adjusted current representation curve as the representative wind data and the representative illumination data.

[0014] As a further improvement of the present application, the bearing data is calculated by the following method:

[0015] Step, set a plurality of calculation points on the roof to be installed, and calculate the bearing data of each calculation point by a calculation method;

[0016] Step, map the roof to form a base model, and input the bearing data of each calculation point into the base model to form a bearing distribution map containing a bearing area, each bearing data forms a data point on the bearing distribution map, and is input into an external tablet computer for display;

[0017] Step, perform clustering analysis on the data points by a density peak clustering algorithm, and divide the data points by different colors, and then display them on the external tablet computer to form a bearing area distribution map.

[0018] As a further improvement of the present application, the calculation method in the step is as follows:

[0019] Step, set a hammer on the upper side of the roof at the position corresponding to the calculation point, and set a vibration sensor on the lower side of the calculation point to form a roof bearing detector;

[0020] Step, start the hammer to knock the roof, gradually increase the knocking force, and the vibration sensor detects the vibration change in real time;

[0021] Step, calculate the vibration change value of the vibration sensor for each knock, arrange and compare the obtained vibration change values, select the front and rear two vibration values corresponding to the maximum vibration change value, and select the smaller vibration value in front as the bearing data.

[0022] As a further improvement of the present application, the light detector has a plurality of detection points to divide the roof into a plurality of light areas, and a density peak clustering algorithm is used for clustering analysis to form a light area distribution map, and then the light area distribution map and the load-bearing area distribution map are overlapped and compared, and the installation area and installation method of the photovoltaic panel are selected according to the overlapping condition.

[0023] The present application has the beneficial effect that the wind detector, the light detector and the roof load-bearing detector are arranged to effectively detect the wind, light and load-bearing data on the roof, and the pre-check analysis server is arranged to effectively analyze the obtained wind, light and load-bearing data, and calculate the required installation area and installation method of the photovoltaic panel according to the analysis result, thereby effectively realizing the effect of photovoltaic installation automation pre-check and greatly increasing the efficiency of photovoltaic installation. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 The module block diagram of the power grid installation pre-check system of the present application. DETAILED DESCRIPTION

[0025] The present application will be further described in detail below with reference to the embodiments shown in the accompanying drawings.

[0026] Referring to Figure 1 The power grid installation pre-check system of the present embodiment comprises:

[0027] The wind detector 1 is used to detect the wind on the roof and output wind data;

[0028] The light detector 2 is used to detect the light on the roof and output light data;

[0029] The roof load-bearing detector 3 is used to detect the load-bearing condition of the roof and output load-bearing data;

[0030] The pre-check analysis server 4, the wind force detector 1, the light detector 2 and the roof bearing detector 3 are in communication connection with the pre-check analysis server 4 to input the wind force data, the light data and the bearing data to the pre-check analysis server 4, the pre-check analysis server 4 is in communication connection with the external Internet to call the corresponding installation area wind force data and the light data, the wind force data and the light data are adjusted through the wind force data and the light data, the representative wind force data and the representative light data of the current installation position are obtained, the installation area and the installation mode of the photovoltaic panel are calculated through the representative wind force data and the representative light data and the bearing data, in the process of using the pre-check system of the embodiment, only the wind force detector 1, the light detector 2 and the roof bearing detector 3 need to be placed on the roof to be installed for detection, then the installation scheme can be quickly obtained through the analysis of the pre-check analysis server 4, which effectively realizes the effect of installation pre-check and greatly increases the installation efficiency.

[0031] As an improved specific embodiment, the specific steps of the pre-check analysis server 4 for adjusting the representative wind force data and the representative light data are as follows:

[0032] Step one, build a coordinate graph, input the wind force data and the light data into the coordinate graph, form the wind force data and the light data on the coordinate graph, and input the wind force data and the light data received into the coordinate graph, form the current representation curve on the coordinate graph;

[0033] Step two, calculate the difference value between each point on the wind force data and the light data, calculate the average value of each difference value, and adjust the current representation curve according to the average value;

[0034] Step three, extract the wind force data and the light data corresponding to the adjusted current representation curve as the representative wind force data and the representative light data, because the wind force data and the light data are variable every day, the current average wind force data and the light data of the roof cannot be accurately known in a short period of time, and a long time is spent in the pre-check process, therefore, through the above steps one to three, the current detected data can be effectively smoothed and adjusted by using the wind force data and the light data, so that the daily wind force data and the light data of the roof can be better approached, and the final scheme has stronger adaptability.

[0035] As an improved specific embodiment, the bearing data is calculated by the following method:

[0036] Step 1, set a plurality of calculation points on the roof to be installed, and calculate the bearing data of each calculation point by calculation method;

[0037] Step 2, map the roof constitutes a base model, each measuring point of the load data input into the base model, constitutes the load distribution map containing the load area, each load data on which forms each data point, and input to the external tablet to display;

[0038] Step 3, the data points are clustered by density peak clustering algorithm, and the data points are divided by different colors, and then displayed in the external tablet to form a load area distribution map. Through the above steps, the roof can be effectively divided into each load area by the density peak clustering algorithm. This provides the most important reference for the subsequent installation of photovoltaic panels and the area and method, so that the final installation scheme can better adapt to the current roof.

[0039] As an improved embodiment, the measuring method in step 1 is as follows:

[0040] Step 11, a hammer is arranged on the upper side of the corresponding measuring point of the roof, and a vibration sensor is arranged on the lower side of the measuring point to constitute a roof load detector;

[0041] Step 12, start the hammer to knock the roof, and gradually increase the knocking force, and the vibration sensor detects the vibration change in real time;

[0042] Step 13, calculate the vibration change value of the vibration sensor for each knock, and arrange and compare the obtained vibration change values, select the front and rear two vibration values corresponding to the maximum vibration change value, and select the smaller vibration value in front as the load data. Through the above steps, the load capacity of the roof can be effectively detected by detecting the vibration elimination ability of the roof. When the force generated by the knock can be borne by the roof, the roof will not produce much deformation, so it will absorb most of the force generated by the knock. It indicates that the weight corresponding to the knock can be borne by the roof. When the force generated by the knock is transmitted to the sensor below, it indicates that the force of the knock on the roof is difficult to bear, so the load capacity of the measuring point of the roof can be roughly estimated. In this way, the collection and detection of load data are effectively completed.

[0043] As a specific embodiment of the improvement, the light detector has a plurality of detection points to divide the roof into a plurality of light areas, a light area distribution map is formed after clustering analysis by a density peak clustering algorithm, then the light area distribution map and the bearing area distribution map are superimposed and compared, and the installation area and installation mode of the photovoltaic panel are selected according to the superposition condition. Through the above method, after obtaining the bearing area distribution map, the light area distribution map is also analyzed, so that larger area photovoltaic panels can be arranged at positions with strong bearing force and strong light, small area photovoltaic panels can be arranged at positions with weak bearing force and insufficient light, or light installation mode is used at positions with weak bearing force and strong light to arrange large area photovoltaic panels as much as possible.

[0044] In summary, the power grid installation pre-check system of the embodiment can effectively realize automatic pre-check before installation of the photovoltaic power station, and greatly improves the installation efficiency of the photovoltaic power station.

[0045] The above is only the preferred embodiment of the present application, and the protection scope of the present application is not limited to the above embodiment. Any technical solution falling within the concept of the present application shall be considered as falling within the protection scope of the present application. It should be noted that, for ordinary skilled persons in the art, some improvements and refinements without departing from the principles of the present application shall also be considered as falling within the protection scope of the present application.

Claims

1. A grid installation pre-commissioning system characterized by: The application relates to a roof photovoltaic panel installation method, which comprises the following steps: a wind force detector (1) is used for detecting wind force on a roof and outputting wind force data; a light detector (2) is used for detecting light on the roof and outputting light data; a roof bearing detector (3) is used for detecting the bearing condition of the roof and outputting bearing data; a pre-check analysis server (4) is connected with the wind force detector (1), the light detector (2) and the roof bearing detector (3) in communication, so as to input the wind force data, the light data and the bearing data into the pre-check analysis server (4); the pre-check analysis server (4) is connected with an external Internet in communication, so as to call corresponding installation region annual wind force data and annual light data, adjust the input wind force data and light data through the annual wind force data and the annual light data, obtain representative wind force data and representative light data of a current installation position, and calculate the required installation area and installation mode of a photovoltaic panel through the representative wind force data, the representative light data and the bearing data.

2. The grid installation pre-commissioning system of claim 1, wherein: The specific steps for obtaining the representative wind force data and the representative light data by the pre-check analysis server (4) are as follows: step one, a coordinate graph is constructed, the annual wind force data and the annual light data are input into the coordinate graph, annual representation curves are formed on the coordinate graph, the received wind force data and light data are input into the coordinate graph, and current representation curves are formed on the coordinate graph; step two, the difference values between each point on the annual representation curves and the current representation curves are calculated, the average value of the obtained difference values is calculated, and the current representation curves are adjusted according to the average value; step three, the wind force data and the light data corresponding to the adjusted current representation curves are extracted as the representative wind force data and the representative light data.

3. A grid installation pre-commissioning system according to claim 1 or 2, characterised in that: The bearing data is calculated through the following method: step 1, a plurality of calculation points are arranged on a roof to be installed, and the bearing data of each calculation point is calculated through a calculation method; step 2, a roof constitutes a base model, the bearing data of each calculation point is input into the base model to constitute a bearing distribution graph containing a bearing area, each data point is formed on the bearing distribution graph, and the bearing data is input into an external tablet computer and displayed; step 3, the data points are analyzed through a density peak clustering algorithm, the data points are divided through different colors, and then the data points are displayed through the external tablet computer to form a bearing area distribution graph.

4. The grid installation pre-commissioning system of claim 3, wherein: The calculation method in step 1 is as follows: step 11, a knocker is arranged on the upper side of the roof at the position of each calculation point, and a vibration sensor is arranged on the lower side of the roof at the position of each calculation point to constitute a roof bearing detector; step 12, the knocker is started to knock the roof, the knocking force is gradually increased, and the vibration sensor detects the vibration change in real time; step 13, the vibration change values of the vibration sensor for each time of knocking are calculated, the obtained vibration change values are compared, the two vibration values before and after the vibration change value with the maximum value are selected, and the smaller vibration value before the vibration change value with the maximum value is selected as the bearing data.

5. The grid installation pre-commissioning system of claim 4, wherein: The light illumination detector has a plurality of detection points to divide the roof into a plurality of illumination areas, and a density peak clustering algorithm is used for clustering analysis to form an illumination area distribution map, and then the illumination area distribution map and the load-bearing area distribution map are overlapped and compared, and the installation area and installation mode of the photovoltaic panel are selected according to the overlapping condition.

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