Intelligent power plant safety inspection method

Abstract

The invention discloses an intelligent power plant safety inspection method, and relates to the technical field of power plant safety inspection, and the method comprises the steps: 1, data analysis, 2, auxiliary monitoring analysis, and 3, auxiliary monitoring processing. The growth state coincidence index of each key tea tree planting area of the tea garden and the growth state coincidence index of each conventional tea tree planting area of the tea garden are evaluated, and the tea processing quality index of the tea garden is evaluated, so that the problem of tea quality damage or production stagnation is avoided, the stability of the whole production process of the tea garden is guaranteed, and energy waste is reduced; the intelligent inspection robot inspects the tea garden, evaluates the power plant operation safety index of the tea garden and adjusts the monitoring frequency of the power plant of the tea garden, so that the inspection frequency is improved, early warning can be quickly given out, the growth environment of tea trees is improved, the tea yield and quality are improved, and potential problems of equipment can be found in time; and equipment failure and energy supply interruption caused by untimely inspection can be avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of safety inspection in power plants, and particularly to a method for intelligent safety inspection in power plants. Background Art

[0002] In the operation of modern power plants, in the past, the inspection of the step-up substation of the power plant mainly relied on manual inspections at regular intervals. This method not only consumed a large amount of manpower and time, but was also limited by the professional capabilities and working conditions of the inspection personnel, making it easy to miss potential safety hazards of equipment. With the rapid development of technology, the emergence of advanced technologies such as intelligent inspection robots and big data analysis has provided new ways to solve the above problems. Using intelligent inspection robots to inspect the step-up substation of the power plant, collecting relevant data through them, and then evaluating the energy supply index through data analysis is expected to achieve intelligent management of energy supply, ensure the stable operation of power plant production, and improve energy utilization efficiency. Therefore, it is necessary to analyze the technical field of safety inspection in power plants.

[0003] The prior art, such as the invention patent application with the publication number: CN117391678B in the technical field of energy analysis and management, is used to solve the problems in the existing energy management methods, such as imperfect energy data collection, lack of comprehensiveness in energy management, and lack of personalized management solutions. It specifically discloses a comprehensive management platform for efficient energy recovery and reuse. Through an integrated management method, this invention realizes the comprehensive and real-time monitoring and analysis of various energy equipment in the industrial production process, which helps to improve energy utilization efficiency, reduce production costs, and also helps to protect the environment and achieve sustainable development.

[0004] The prior art for a method of intelligent safety inspection in a power plant can meet the basic requirements, but there are also some potential defects and challenges, which are specifically reflected in the following aspects: First, in the prior art, the analysis of the growth status compliance index of each key tea tree planting area and the growth status compliance index of each conventional tea tree planting area in the tea garden is not deep enough, and there is a lack of zoning treatment for the tea garden. Due to the inaccurate analysis of the tea processing quality indicators in the tea garden, the tea quality is damaged or production is stagnated, reducing the stability of the overall production process in the tea garden, reducing the comprehensive utilization efficiency of energy, increasing energy waste, and increasing the operating cost of the tea garden.

[0005] Second, in the prior art, there is not much attention paid to determining whether the power plant in the tea garden needs auxiliary monitoring. The pollutants generated during the operation of the power plant may pollute the soil of the tea garden, thereby affecting the growth and development of tea trees, and further affecting the evaluation of the operation safety index of the power plant in the tea garden. When the operation of the power plant in the tea garden is unsafe, potential problems of the equipment cannot be detected in time, resulting in an increase in the degree of equipment damage, an increase in maintenance costs, an impact on power supply, and the inability of facilities such as the irrigation system in the tea garden to operate normally, thereby affecting the growth environment of tea trees and reducing the yield and quality of tea. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent power plant safety inspection method, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an intelligent power plant safety inspection method, including Step 1, data analysis, Step 2, auxiliary monitoring analysis, and Step 3, auxiliary monitoring processing.

[0008] Step 1, data analysis: Based on the design drawings of the tea garden, the tea garden is divided into regions to obtain the tea tree planting areas and tea tree processing areas of the tea garden, and then divided to obtain the key tea tree planting areas and conventional tea tree planting areas of the tea garden, and then the growth state compliance index of each key tea tree planting area of the tea garden, the growth state compliance index of each conventional tea tree planting area of the tea garden, and the tea processing quality index of the tea garden are evaluated.

[0009] Step 2, auxiliary monitoring analysis: Evaluate the first safety value and the second safety value of the power plant in the tea garden, and determine whether the power plant in the tea garden needs auxiliary monitoring. If so, execute Step 3.

[0010] Step 3, auxiliary monitoring processing: Use an intelligent inspection robot to inspect the tea garden to obtain the auxiliary inspection and monitoring data of the tea garden, evaluate the operation safety index of the power plant in the tea garden, and determine whether the operation safety of the power plant is abnormal. If it is abnormal, process it.

[0011] Furthermore, for the evaluation of the growth state compliance index of each key tea tree planting area of the tea garden, the specific analysis method is as follows: Based on the obtained tea tree planting areas of the tea garden, the tea tree planting areas of the tea garden are divided into grids to obtain the key tea tree planting areas and conventional tea tree planting areas of the tea garden, and the tea tree data of the tea garden are collected. Among them, the tea tree data of the tea garden include: the germination density and leaf fullness value of each stage of each key tea tree planting area, and then the growth state compliance index of each key tea tree planting area of the tea garden is evaluated. The specific calculation formula is: d js is the leaf fullness value of the tea tree in the jth key tea tree planting area of the tea garden at the s-th stage, d' jsis the leaf fullness reference value of the tea trees in the j-th key tea tree planting area of the tea garden at the s-th stage, c js is the germination density of the tea trees in the j-th key tea tree planting area of the tea garden at the s-th stage, c' js is the reference germination density of the tea trees in the j-th key tea tree planting area of the tea garden at the s-th stage. s represents the stage number, s = 1, 2,..., t, where t represents the number of stages, and j represents the key tea tree planting area number, j = 1, 2,..., v, where v represents the number of key tea tree planting areas.

[0012] Similarly, evaluate the growth status compliance index Aj” of each conventional tea tree planting area in the tea garden.

[0013] Furthermore, for the grid division of the tea tree planting areas in the tea garden, the specific analysis method is as follows: By designing a planning map, obtain the center points of each tea tree planting area in the tea garden and the center point of the power plant in the tea garden, and obtain the distance between the center points of each tea tree planting area in the tea garden and the center point of the power plant, so as to obtain the difference distance between the center points of each tea tree planting area in the tea garden and the center point of the power plant. When the difference distance is less than or equal to the difference distance threshold stored in the database, then mark this tea tree planting area as each key tea tree planting area. When the difference distance is greater than the difference distance threshold stored in the database, then mark this tea tree planting area as each conventional tea tree planting area.

[0014] Furthermore, for the evaluation of the first safety value of the power plant in the tea garden, the specific analysis method is as follows: Based on the obtained growth status compliance indices of each key tea tree planting area and each conventional tea tree planting area in the tea garden, respectively perform mean processing on the growth status compliance indices of each key tea tree planting area and each conventional tea tree planting area in the tea garden to obtain the growth average status compliance values of the key tea tree planting areas and conventional tea tree planting areas in the tea garden, and perform difference processing on the growth average status compliance values of the key tea tree planting areas and conventional tea tree planting areas in the tea garden to obtain the growth average status difference of the planting areas in the tea garden, and compare the growth average status difference of the planting areas in the tea garden with the preset growth average status difference threshold of the planting areas in the tea garden. If the growth average status difference of the planting areas in the tea garden is less than the growth average status difference threshold, then mark the first safety value of the power plant in the tea garden as -1. Otherwise, mark the first safety value of the power plant in the tea garden as 1.

[0015] Further, for the tea processing quality indicators of the tea garden, the specific analysis method is as follows: Based on the obtained images and various detection indicators, quality data is obtained, where the quality data includes the leaf damage area, the number of spots, and the color uniformity of the tea processing in the tea garden. And the qualified intervals of the leaf damage area, the number of spots, and the color uniformity of the tea processing in the tea garden are extracted from the database, and then the tea processing quality indicators of the tea garden are analyzed. The specific calculation formula is: a k represents the k-th data of the tea processing in the tea garden, and a k ' represents the safety interval of the p-th data of the tea processing in the tea garden, where k ∈ [1, 3].

[0016] Further, for the second safety value of the power plant in the tea garden, the specific analysis method is as follows: Based on the obtained tea processing quality indicators of the tea garden, and according to the initial tea data in the tea processing area of the tea trees in the tea garden, the initial tea quality of the tea trees in the tea garden is evaluated. And according to the historical data of the tea trees in the tea garden, the predicted tea processing quality indicators in the tea processing area of the tea trees in the tea garden are predicted. Subtract the tea processing quality indicators of the tea garden from the predicted tea processing quality indicators in the tea processing area of the tea trees in the tea garden to obtain the difference in the processing quality indicators in the tea processing area of the tea trees in the tea garden, and compare it with the preset threshold value of the difference in the processing quality indicators in the tea processing area of the tea trees in the tea garden. If the difference in the processing quality indicators in the tea processing area of the tea trees in the tea garden is greater than the preset threshold value of the difference in the processing quality indicators in the tea processing area of the tea trees in the tea garden, then the second safety value of the power plant in the tea garden is recorded as -1, otherwise, it is recorded as 1.

[0017] Further, for the judgment of whether the power plant in the tea garden needs auxiliary monitoring, the specific analysis method is as follows: According to the first safety value and the second safety value of the power plant in the tea garden, it is judged whether the power plant in the tea garden needs auxiliary monitoring. When the first safety value or the second safety value of the power plant in the tea garden is -1, it means that the power plant in the tea garden needs auxiliary monitoring, and an intelligent inspection robot is used to inspect the tea garden. When the first safety value and the second safety value of the power plant in the tea garden are 1, it means that the operation status of the power plant in the tea garden is good and no auxiliary monitoring is required.

[0018] Further, for the evaluation of the operation safety index of the power plant in the tea garden, the specific analysis method is as follows: Based on the obtained auxiliary inspection and monitoring data of the tea garden, and through the monitoring platform, the conventional monitoring data of the tea garden is obtained. Among them, the auxiliary inspection and monitoring data of the tea garden includes the power plant radiation value of each device in the tea garden and the heavy metal quantity in the surrounding soil, and the conventional monitoring data of the tea garden includes the noise decibel value and the surface temperature of each device in the tea garden. Analyze the equipment influence status index G of the power plant in the tea garden and the equipment working status index X of the power plant in the tea garden, and then evaluate the operation safety index of the power plant in the tea garden, α = G + X.

[0019] The equipment of the power plant in the tea garden is affecting the status index, and its specific calculation formula is: Among them, L w represents the power plant radiation value of the w-th equipment in the tea garden, L' represents the reference power plant radiation value of the equipment in the tea garden, U w represents the amount of heavy metals in the surrounding soil of the w-th equipment in the tea garden, U' represents the reference amount of heavy metals in the surrounding soil of the equipment in the tea garden, w represents the equipment number, j' = 1, 2,..., b, and b represents the number of equipment.

[0020] Furthermore, for the equipment working status index of the power plant in the tea garden, its specific analysis method is: based on the obtained noise decibel values and surface temperatures of each equipment in the tea garden, and extracting the reference noise decibel values and reference surface temperatures of the equipment in the tea garden from the database, and then analyzing the equipment working status index of the power plant in the tea garden, and its specific calculation formula is: Among them, F w represents the noise decibel value of the w-th equipment in the tea garden, F' represents the reference noise decibel value of the equipment in the tea garden, R w represents the surface temperature of the w-th equipment in the tea garden, and R' represents the reference surface temperature of the equipment in the tea garden.

[0021] Furthermore, to determine whether the operation safety of the power plant is abnormal, if it is abnormal, it will be processed. Its specific analysis method is: based on the obtained operation safety index of the power plant in the tea garden, if the operation safety index of the power plant in the tea garden is less than the operation safety index threshold of the power plant in the tea garden stored in the database, then take the difference between the operation safety index of the power plant in the tea garden being less than the operation safety index threshold of the power plant in the tea garden stored in the database, to obtain the operation safety index difference of the power plant in the tea garden, and compare it with the predefined operation safety index difference threshold of the power plant in the tea garden. If the operation safety index difference of the power plant in the tea garden is greater than the predefined operation safety index difference threshold of the power plant in the tea garden, it indicates that the operation safety of the power plant is in an abnormal state, denoted as the first-level treatment plan, and increase the monitoring frequency of the power plant in the tea garden and shorten the inspection time interval. If the operation safety index of the power plant in the tea garden is greater than the operation safety index threshold of the power plant in the tea garden stored in the database, it indicates that the operation safety of the power plant is in a normal state.

[0022] The beneficial effects of the present invention are as follows: First, in Step 1, data analysis: Based on the design drawings of the tea garden, the tea garden is divided into regions to obtain the tea tree planting areas and tea tree processing areas in the tea garden, and then evaluate the growth status compliance index of each key tea tree planting area in the tea garden, the growth status compliance index of each conventional tea tree planting area in the tea garden, and evaluate the tea processing quality indicators of the tea garden, avoiding the problems of damaged tea quality or production stagnation, ensuring the stability of the overall production process of the tea garden, improving the comprehensive utilization efficiency of energy, reducing energy waste, and reducing the operating costs of the tea garden.

[0023] II. In Step 2, Auxiliary Monitoring Analysis and Step 3, Auxiliary Monitoring Processing: Evaluate the first safety value and the second safety value of the power plant in the tea garden, and determine whether the power plant in the tea garden requires auxiliary monitoring. If so, use an intelligent inspection robot to inspect the tea garden to obtain auxiliary inspection and monitoring data of the tea garden, evaluate the operation safety index of the power plant in the tea garden, and determine whether the operation safety of the power plant is abnormal. If it is abnormal, take measures, adjust the inspection frequency in a timely manner, can quickly issue a warning, adjust the monitoring frequency of the power plant in the tea garden, can improve the growth environment of tea trees, increase the yield and quality of tea leaves, timely discover potential problems of equipment, and avoid equipment failures and energy supply interruptions caused by untimely inspections. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0025] Figure 1 It is a schematic flow chart of the implementation steps of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0027] Refer to Figure 1 As shown, the present invention provides an intelligent power plant safety inspection method, including: Step 1, Data Analysis, Step 2, Auxiliary Monitoring Analysis, and Step 3, Auxiliary Monitoring Processing.

[0028] Step 1, Data Analysis: Based on the design drawings of the tea garden, divide the tea garden into areas to obtain the tea tree planting areas and tea tree processing areas of the tea garden, and further divide them to obtain the key tea tree planting areas and conventional tea tree planting areas of the tea garden, and then evaluate the growth status compliance index of each key tea tree planting area of the tea garden, the growth status compliance index of each conventional tea tree planting area of the tea garden, and the tea processing quality index of the tea garden.

[0029] In the above embodiments, the growth state compliance index of each key tea tree planting area in the evaluated tea garden is as follows. The specific analysis method is: based on the obtained tea tree planting areas in the tea garden, the tea tree planting areas in the tea garden are divided into grids to obtain each key tea tree planting area and each regular tea tree planting area in the tea garden, and tea tree data of the tea garden is collected. Among them, the tea tree data of the tea garden includes: the germination density and leaf fullness value at each stage of each key tea tree planting area. Then, the growth state compliance index of each key tea tree planting area in the tea garden is evaluated. The specific calculation formula is: d js is the leaf fullness value of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden, and d' js is the reference leaf fullness value of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden, and c js is the germination density of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden, and c' js is the reference germination density of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden. s represents the stage number, s = 1, 2,..., t, where t represents the number of stages, and j represents the key tea tree planting area number, j = 1, 2,..., v, where v represents the number of key tea tree planting areas.

[0030] Similarly, the growth state compliance index Aj” of each regular tea tree planting area in the tea garden is evaluated.

[0031] It should be noted that the power plant in the tea garden will affect the germination density and leaf fullness value of the tea trees in the tea garden at each stage during operation, affecting the normal physiological functions of the leaves and reducing the leaf fullness value.

[0032] In the above embodiments, the specific analysis method for dividing the tea tree planting areas in the tea garden into grids is as follows: by designing a planning map, the center points of each tea tree planting area in the tea garden and the center point of the power plant in the tea garden are obtained, and the distances between the center points of each tea tree planting area in the tea garden and the center point of the power plant in the tea garden are obtained to get the difference distances between the center points of each tea tree planting area in the tea garden and the center point of the power plant. When the difference distance is less than or equal to the difference distance threshold stored in the database, then this tea tree planting area is recorded as each key tea tree planting area. When the difference distance is greater than the difference distance threshold stored in the database, then this tea tree planting area is recorded as each regular tea tree planting area.

[0033] In Step 1, data analysis: Based on the design drawings of the tea garden, the tea garden is divided into areas, obtaining the tea tree planting areas and tea tree processing areas of the tea garden. Furthermore, the growth status compliance indices of each key tea tree planting area in the tea garden, the growth status compliance indices of each conventional tea tree planting area in the tea garden, and the tea processing quality indicators of the tea garden are evaluated, avoiding problems such as damaged tea quality or production stagnation, ensuring the stability of the overall production process of the tea garden, improving the comprehensive utilization efficiency of energy, reducing energy waste, and lowering the operating costs of the tea garden.

[0034] Step 2, auxiliary monitoring analysis: Evaluate the first safety value and the second safety value of the power plant in the tea garden, and determine whether the power plant in the tea garden requires auxiliary monitoring. If so, execute Step 3.

[0035] In the above embodiment, for the specific analysis method of the first safety value of the power plant in the tea garden: Based on the growth status compliance indices of each key tea tree planting area and each conventional tea tree planting area in the obtained tea garden, the growth status compliance indices of each key tea tree planting area and each conventional tea tree planting area in the tea garden are respectively averaged to obtain the average growth status compliance values of the key tea tree planting area and the conventional tea tree planting area in the tea garden. Then, the average growth status compliance values of the key tea tree planting area and the conventional tea tree planting area in the tea garden are subtracted to obtain the average growth status difference of the planting area in the tea garden. Next, the average growth status difference of the planting area in the tea garden is compared with the preset threshold value of the average growth status difference of the planting area in the tea garden. If the average growth status difference of the planting area in the tea garden is less than the growth status difference threshold value, the first safety value of the power plant in the tea garden is recorded as -1; otherwise, the first safety value of the power plant in the tea garden is recorded as 1.

[0036] In the above embodiment, for the specific analysis method of the tea processing quality indicators of the tea garden: Based on the obtained images and each detection index, quality data is obtained, where the quality data includes the leaf damage area, the number of spots, and the color uniformity of the tea processing in the tea garden. Then, the qualified interval of the leaf damage area, the qualified interval of the number of spots, and the qualified interval of the color uniformity of the tea processing in the tea garden are extracted from the database. Furthermore, the tea processing quality indicators of the tea garden are analyzed, and its specific calculation formula is: a k represents the k-th data of the tea processing in the tea garden, a k ' represents the safety interval of the p-th data of the tea processing in the tea garden, k ∈ [1, 3].

[0037] In the above embodiment, the specific analysis method for the second safety value of the power plant evaluating the tea garden is as follows: Based on the obtained tea processing quality indicators of the tea garden, and according to the initial tea data in the tea tree processing area of the tea garden, evaluate the initial tea quality of the tea trees in the tea garden. And according to the historical data of the tea trees in the tea garden, predict the predicted tea processing quality indicators in the tea tree processing area of the tea garden. Subtract the tea processing quality indicators of the tea garden from the predicted tea processing quality indicators in the tea tree processing area of the tea garden to obtain the difference in processing quality indicators in the tea tree processing area of the tea garden, and compare it with the preset threshold of the difference in processing quality indicators in the tea tree processing area of the tea garden. If the difference in processing quality indicators in the tea tree processing area of the tea garden is greater than the preset threshold of the difference in processing quality indicators in the tea tree processing area of the tea garden, then record the second safety value of the power plant of the tea garden as -1, otherwise, record it as 1.

[0038] In the above embodiment, the specific analysis method for determining whether the power plant of the tea garden needs auxiliary monitoring is as follows: According to the first safety value and the second safety value of the power plant of the tea garden, determine whether the power plant of the tea garden needs auxiliary monitoring. When the first safety value or the second safety value of the power plant of the tea garden is -1, it means that the power plant of the tea garden needs auxiliary monitoring, and an intelligent inspection robot is used to inspect the tea garden. When the first safety value and the second safety value of the power plant of the tea garden are 1, it means that the operation status of the power plant of the tea garden is good and no auxiliary monitoring is required.

[0039] Step 3: Auxiliary monitoring and processing: Use an intelligent inspection robot to inspect the tea garden to obtain the auxiliary inspection and monitoring data of the tea garden, evaluate the operation safety index of the power plant of the tea garden, and determine whether the operation safety of the power plant is abnormal. If it is abnormal, perform processing.

[0040] In the above embodiment, the specific analysis method for evaluating the operation safety index of the power plant of the tea garden is as follows: Based on the obtained auxiliary inspection and monitoring data of the tea garden, and obtain the regular monitoring data of the tea garden through the monitoring platform. Among them, the auxiliary inspection and monitoring data of the tea garden include the power plant radiation value of each device in the tea garden and the heavy metal quantity in the surrounding soil, and the regular monitoring data of the tea garden include the noise decibel value and the surface temperature of each device in the tea garden. Analyze the equipment influence status index G of the power plant of the tea garden and the equipment working status index X of the power plant of the tea garden, and then evaluate the operation safety index of the power plant of the tea garden, α = G + X.

[0041] The specific calculation formula for analyzing the equipment positive influence status index of the power plant of the tea garden is as follows: Among them, L w represents the power plant radiation value of the w-th device in the tea garden, L' represents the reference value of the power plant radiation of the devices in the tea garden, U wIt represents the amount of heavy metals in the soil around the w-th device in the tea garden, U' represents the reference amount of heavy metals in the soil around the devices in the tea garden, w represents the number of the device, j'=1,2,...,b, b represents the number of devices.

[0042] It should be noted that the radiation generated by the power plant during operation will have some special biological effects on tea trees. The radiation value affects the membrane potential and ion channels of plant cells, thereby affecting the absorption and transportation of nutrients by plants. It may also affect the activity of some enzymes in the tea tree, thereby changing the physiological and biochemical processes of the tea tree.

[0043] It should be noted that some heavy metal elements will be discharged from the equipment in operation in the power plant along with the waste gas, wastewater or waste residue. These heavy metals will accumulate in the soil of the tea garden and change the composition and structure of the soil. For example, heavy metals such as lead, mercury and cadmium may be absorbed by the roots of tea trees, affecting their normal growth and development. They may also accumulate in tea leaves, posing potential risks to tea quality and drinking safety.

[0044] In the above embodiment, the equipment working status index of the power plant in the tea garden is specifically analyzed by: based on the noise decibel value and surface temperature of each device in the tea garden, the noise decibel reference value and reference surface temperature of the equipment in the tea garden are extracted from the database, and then the equipment working status index of the power plant in the tea garden is analyzed. The specific calculation formula is: Among them, F w It is represented by the noise decibel value of the wth device in the tea garden, F' is represented by the noise decibel reference value of the equipment in the tea garden, and R w It is represented as the surface temperature of the wth device in the tea garden, and R' is represented as the surface reference temperature of the device in the tea garden.

[0045] It should be noted that the decibel value of noise emitted by power plant equipment operation may affect the habitat and activities of insects, birds and other organisms in the tea garden, destroy the ecological balance of the tea garden, and further affect the ecological environment of the tea trees. For example, some pollinating insects may reduce their activities in the tea garden due to noise, affecting the pollination and fruiting of tea trees. On the other hand, long-term noise environment may put tea trees in a state of stress, affecting their normal physiological activities, resulting in a decrease in the resistance of tea trees and making them more susceptible to diseases and pests.

[0046] It should be noted that a large amount of heat will be generated during the operation of power plant equipment, causing the surrounding local temperature to rise, forming a heat island effect. This may change the microclimate environment for the growth of tea trees and affect the growth and development of tea trees. Higher temperatures may shorten the growth cycle of tea trees and affect the freshness and quality of tea leaves. At the same time, the heat island effect may also affect the air humidity and airflow conditions in the tea garden.

[0047] In the above embodiments, it is determined whether the operation safety of the power plant is abnormal. If it is abnormal, processing is performed. The specific analysis method is as follows: Based on the obtained power plant operation safety index of the tea garden, if the power plant operation safety index of the tea garden is less than the power plant operation safety index threshold of the tea garden stored in the database, the difference between the power plant operation safety index of the tea garden being less than the power plant operation safety index threshold of the tea garden stored in the database is processed to obtain the power plant operation safety index difference of the tea garden. This is compared with the predefined power plant operation safety index difference threshold of the tea garden. If the power plant operation safety index difference of the tea garden is greater than the predefined power plant operation safety index difference threshold of the tea garden, it indicates that the operation safety of the power plant is in an abnormal state, which is recorded as a primary treatment plan, and the monitoring frequency of the power plant in the tea garden is increased, and the inspection time interval is shortened. If the power plant operation safety index of the tea garden is greater than the power plant operation safety index threshold of the tea garden stored in the database, it indicates that the operation safety of the power plant is in a normal state.

[0048] In Step 2, Auxiliary Monitoring Analysis and Step 3, Auxiliary Monitoring Processing: The first safety value and the second safety value of the power plant in the tea garden are evaluated to determine whether the power plant in the tea garden requires auxiliary monitoring. If so, an intelligent inspection robot is used to inspect the tea garden to obtain the auxiliary inspection monitoring data of the tea garden, the power plant operation safety index of the tea garden is evaluated, and it is determined whether the operation safety of the power plant is abnormal. If it is abnormal, processing is performed, the inspection frequency is adjusted in a timely manner, a warning can be quickly issued, the monitoring frequency of the power plant in the tea garden is adjusted, the growth environment of the tea trees can be improved, the tea yield and quality can be increased, potential problems of the equipment can be discovered in a timely manner, and equipment failures and energy supply interruptions caused by untimely inspections can be avoided.

[0049] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. A safety inspection method for an intelligent power plant, characterized in that, Including: Step 1, data analysis: Based on the design drawings of the tea garden, the tea garden is divided into regions to obtain the tea tree planting areas and tea tree processing areas of the tea garden, and then divided to obtain the key tea tree planting areas and conventional tea tree planting areas of the tea garden. Furthermore, the growth status compliance indices of the key tea tree planting areas of the tea garden, the growth status compliance indices of the conventional tea tree planting areas of the tea garden, and the tea processing quality indicators of the tea garden are evaluated; Step 2, auxiliary monitoring analysis: Evaluate the first safety value and the second safety value of the power plant in the tea garden, and determine whether the power plant in the tea garden requires auxiliary monitoring. If so, execute Step 3; Step 3, auxiliary monitoring processing: Patrol the tea garden through an intelligent inspection robot to obtain the auxiliary inspection monitoring data of the tea garden, evaluate the operation safety index of the power plant in the tea garden, and determine whether the power plant operation safety is abnormal. If it is abnormal, perform processing.

2. The intelligent power plant safety inspection method according to claim 1, wherein, The specific analysis method for evaluating the growth status compliance index of each key tea tree planting area of the tea garden is as follows: Based on the obtained tea tree planting areas in the tea garden, the tea tree planting areas in the tea garden are divided into grids to obtain each key tea tree planting area and each conventional tea tree planting area in the tea garden, and tea tree data of the tea garden are collected. Among them, the tea tree data of the tea garden include: the germination density and leaf fullness value at each stage of each key tea tree planting area. Furthermore, the growth state compliance index of each key tea tree planting area in the tea garden is evaluated, and its specific calculation formula is: d js is the leaf fullness value of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden, and d' js is the reference leaf fullness value of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden, and c js is the germination density of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden, and c' js is the reference germination density of the tea tree at the s-th stage in the j-th key tea tree planting area of the tea garden. s represents the number of the stage, s = 1, 2,..., t, where t represents the number of stages. j represents the number of the key tea tree planting area, j = 1, 2,..., v, where v represents the number of key tea tree planting areas; Similarly, evaluate the growth status compliance index Aj of each conventional tea tree planting area of the tea garden.

3. The intelligent power plant safety inspection method according to claim 2, wherein, The specific analysis method for grid-dividing the tea tree planting area of the tea garden is as follows: Through the design planning map, obtain the center points of each tea tree planting area of the tea garden and the center point of the power plant in the tea garden, and obtain the distance between the center points of each tea tree planting area of the tea garden and the center point of the power plant in the tea garden, so as to obtain the difference distance between the center points of each tea tree planting area of the tea garden and the center point of the power plant. When the difference distance is less than or equal to the difference distance threshold stored in the database, then record this tea tree planting area as each key tea tree planting area. When the difference distance is greater than the difference distance threshold stored in the database, then record this tea tree planting area as each conventional tea tree planting area.

4. The safety inspection method for an intelligent power plant according to claim 1, wherein, The specific analysis method for evaluating the first safety value of the power plant in the tea garden is as follows: Based on the growth status compliance indices of the key tea tree planting areas and the growth status compliance indices of the conventional tea tree planting areas of the tea garden obtained, respectively perform mean processing on the growth status compliance indices of the key tea tree planting areas and the growth status compliance indices of the conventional tea tree planting areas of the tea garden to obtain the average growth status compliance values of the key tea tree planting areas and conventional tea tree planting areas of the tea garden, and perform difference processing on the average growth status compliance values of the key tea tree planting areas and conventional tea tree planting areas of the tea garden to obtain the average growth status difference of the planting areas of the tea garden. Then compare the average growth status difference of the planting areas of the tea garden with the preset average growth status difference threshold of the planting areas of the tea garden. If the average growth status difference of the planting areas of the tea garden is less than the average growth status difference threshold, then record the first safety value of the power plant in the tea garden as -1. Otherwise, record the first safety value of the power plant in the tea garden as 1.

5. A method for safety inspection of an intelligent power plant according to claim 1, characterized in that, The specific analysis method for the tea processing quality indicators of the tea garden is as follows: Based on the obtained images and various detection indicators, quality data is obtained, where the quality data includes the damaged area of tea leaves, the number of spots, and the color uniformity during the tea processing in the tea garden. And the qualified intervals of the damaged area of tea leaves, the number of spots, and the color uniformity during the tea processing in the tea garden are extracted from the database, and then the quality indicators of tea processing in the tea garden are analyzed. The specific calculation formula is as follows: a k represents the k-th data of the tea processing in the tea garden, and a k ' represents the safety interval of the p-th data of the tea processing in the tea garden, where k ∈ [1, 3].

6. The intelligent power plant safety inspection method according to claim 5, characterized in that The specific analysis method for evaluating the second safety value of the power plant in the tea garden is as follows: Based on the obtained tea processing quality indicators of the tea garden, and according to the initial tea data of the tea tree processing area in the tea garden, the initial tea quality of the tea trees in the tea garden is evaluated. And according to the historical data of the tea trees in the tea garden, the predicted tea processing quality indicators of the tea tree processing area in the tea garden are predicted. Subtract the tea processing quality indicators of the tea garden from the predicted tea processing quality indicators of the tea tree processing area in the tea garden to obtain the difference in processing quality indicators of the tea tree processing area in the tea garden, and compare it with the preset threshold value of the difference in processing quality indicators of the tea tree processing area in the tea garden. If the difference in processing quality indicators of the tea tree processing area in the tea garden is greater than the preset threshold value of the difference in processing quality indicators of the tea tree processing area in the tea garden, then record the second safety value of the power plant in the tea garden as -1, otherwise, record it as 1.

7. The safety inspection method for an intelligent power plant according to claim 1, wherein The specific analysis method for judging whether the power plant in the tea garden needs auxiliary monitoring is as follows: According to the first safety value and the second safety value of the power plant in the tea garden, judge whether the power plant in the tea garden needs auxiliary monitoring. When the first safety value or the second safety value of the power plant in the tea garden is -1, it means that the power plant in the tea garden needs auxiliary monitoring, and an intelligent inspection robot is used to inspect the tea garden. When the first safety value and the second safety value of the power plant in the tea garden are 1, it means that the operation status of the power plant in the tea garden is good and no auxiliary monitoring is required.

8. A method for safety inspection of an intelligent power plant according to claim 7, characterized in that, The specific analysis method for evaluating the operation safety index of the power plant in the tea garden is as follows: Based on the obtained auxiliary inspection and monitoring data of the tea garden, and obtaining the regular monitoring data of the tea garden through the monitoring platform. Among them, the auxiliary inspection and monitoring data of the tea garden include the power plant radiation value of each device in the tea garden and the amount of heavy metals in the surrounding soil, and the regular monitoring data of the tea garden include the noise decibel value and surface temperature of each device in the tea garden. Analyze the equipment influence status index G of the power plant in the tea garden and the equipment working status index X of the power plant in the tea garden, and then evaluate the operation safety index of the power plant in the tea garden, α = G + X; The equipment of the power plant analyzing the tea garden is affecting the state index, and its specific calculation formula is: Among them, L w represents the power plant radiation value of the w-th equipment in the tea garden, L' represents the reference power plant radiation value of the equipment in the tea garden, U w represents the amount of heavy metals in the surrounding soil of the w-th equipment in the tea garden, U' represents the reference amount of heavy metals in the surrounding soil of the equipment in the tea garden, w represents the equipment number, j' = 1, 2,..., b, and b represents the number of equipment.

9. The intelligent power plant safety inspection method according to claim 8, wherein, The specific analysis method for the equipment working status index of the power plant in the tea garden is as follows: Based on the obtained noise decibel values and surface temperatures of each device in the tea garden, and extracting the reference noise decibel values and reference surface temperatures of the devices in the tea garden from the database, and then analyzing the equipment working state index of the power plant in the tea garden, the specific calculation formula is as follows: Among them, F w represents the noise decibel value of the w-th device in the tea garden, F' represents the reference noise decibel value of the devices in the tea garden, R w represents the surface temperature of the w-th device in the tea garden, and R' represents the reference surface temperature of the devices in the tea garden.

10. A method for safety inspection of an intelligent power plant according to claim 8, characterized in that, The specific analysis method for judging whether the operation safety of the power plant is abnormal. If it is abnormal, then handle it as follows: Based on the obtained operation safety index of the power plant in the tea garden, if the operation safety index of the power plant in the tea garden is less than the operation safety index threshold value of the power plant in the tea garden stored in the database, then perform a difference processing on the operation safety index of the power plant in the tea garden being less than the operation safety index threshold value of the power plant in the tea garden stored in the database to obtain the difference in the operation safety index of the power plant in the tea garden, and compare it with the predefined difference threshold value of the operation safety index of the power plant in the tea garden. If the difference in the operation safety index of the power plant in the tea garden is greater than the predefined difference threshold value of the operation safety index of the power plant in the tea garden, it means that the operation safety of the power plant is in an abnormal state, record it as the first-level treatment plan, and increase the monitoring frequency of the power plant in the tea garden and shorten the inspection time interval. If the operation safety index of the power plant in the tea garden is greater than the operation safety index threshold value of the power plant in the tea garden stored in the database, it means that the operation safety of the power plant is in a normal state.

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