Energy consumption control method and system for green energy-saving building

Abstract

The invention discloses an energy consumption control method and system for a green energy-saving building, and relates to the technical field of energy consumption and energy conservation. According to an electronic distribution diagram and division of detection areas, sensors are reasonably arranged, it is ensured that the environment state of each area can be accurately monitored, and excessive concentration or non-uniform distribution of the sensors is avoided; by calculating a self-checking index Zjzs, the configuration and operation state of the sensor are comprehensively evaluated, an abnormal sensor is found and adjusted in time, the sensor is prevented from being influenced by the environment in a farm, performance and accuracy are prevented from being reduced, and therefore energy consumption is reduced; by calculating the environment coefficient Hjxs, the environment state of each detection area is quantified, and energy consumption is saved conveniently; and the green energy-saving optimization module performs evaluation according to the environment coefficient Hjxs, the environment threshold E1 and the environment threshold E2, realizes intelligent dynamic self-adjustment of equipment gears, and optimizes energy consumption while guaranteeing environment conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption and energy saving, and in particular to an energy consumption control method and system for a green energy-saving building. Background Art

[0002] The energy consumption control system of green energy-saving buildings uses advanced intelligent technology to achieve efficient energy consumption management. By integrating intelligent sensors, automated control systems and data analysis algorithms, the internal environmental conditions of the building are monitored and adjusted in real time to minimize energy consumption. The system can make intelligent adjustments based on usage patterns and external environmental changes to improve energy efficiency and reduce operating costs while meeting the comfort and health standards inside the building.

[0003] In the invention patent with application number 202410178908.5, the application relates to the field of monitoring and control, and specifically discloses a green building energy consumption monitoring and control system and method thereof, which first obtains the power energy consumption data values ​​to be detected at multiple predetermined time points within a predetermined time period and the power energy consumption data values ​​under normal operating conditions and passes through a data arrangement module, a first feature encoding module and a second feature encoding module to obtain a power energy consumption feature vector to be detected and a normal power energy consumption feature vector, then calculates the transfer matrix of the power energy consumption feature vector to be detected and the normal power energy consumption feature vector and optimizes it to obtain an optimized classification feature matrix, finally, passes the optimized classification feature matrix through a classifier to obtain whether the power energy consumption data to be detected belongs to abnormal power energy consumption, thereby realizing the monitoring and control of the energy consumption of green buildings, and then can improve the accuracy and efficiency of energy consumption monitoring, so as to help achieve the goal of energy conservation and emission reduction.

[0004] However, when the invention is applied to a farm such as the breeding industry, by "obtaining the power energy consumption data values ​​to be detected at multiple predetermined time points within a predetermined time period and the power energy consumption data values ​​under normal operating conditions, and arranging the data", due to the wide variety of power equipment in the farm and different energy consumption modes, the data arrangement is complicated and the classification accuracy is reduced, which cannot meet the unique energy consumption characteristics and operating modes of the farm; and due to the special environment in the farm, the performance and accuracy of the sensors used to detect the environment in the farm are reduced, which increases energy consumption and causes waste. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an energy consumption control method and system for a green energy-saving building, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an energy consumption control system for a green energy-saving building, including a site map drawing module, a system deployment self-checking module, an environmental monitoring module, an environmental data processing module, an environmental analysis module and a green energy-saving optimization module; The field map drawing module is used to draw the electronic distribution map in the breeding farm; after the electronic distribution map is drawn, the electronic distribution map is divided into a number of detection areas; The system deploys a self-check module, which is used to install several groups of sensors in the farm according to the electronic distribution map and calculate the self-check index Zjzs; before monitoring the environment, the self-check index Zjzs of each sensor component is evaluated to verify the correctness of the system configuration; The environmental monitoring module is used to monitor and collect environmental data information in the farm in real time, and classify and summarize the environmental data information to construct an environmental data set, while monitoring and recording environmental changes and environmental data in the farm; The environmental data processing module is used to perform data correction on the relevant data information in the environmental data set, identify and eliminate inconsistent, erroneous or missing data information, and use dimensionless processing technology to normalize data with different measurement units to unify them, and extract environmental data sets to construct environmental data sets; The environmental analysis module is used to comprehensively consider and quantify the environmental status of each detection area in the farm based on the environmental data set, including the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys; and simultaneously fit the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys to obtain the environmental coefficient Hjxs of each detection area in the farm; The green energy-saving optimization module is used to pre-set the environmental threshold E 1 and environmental threshold E 2 , and the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Comparative analysis is performed to obtain the current matching equipment adjustment gear; then the equipment and equipment energy consumption are further refined and adjusted according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys.

[0007] Preferably, the site map drawing module obtains basic information of the farm through architectural drawings and on-site measurement data; and then divides the farm into several detection areas according to the area of ​​the electronic distribution map, and marks the detection areas with serial numbers, namely QY1, QY2, QY3, ..., QY n , n represents the number of segmented regions.

[0008] Preferably, the system deployment self-check module includes a deployment unit, a self-check data collection unit, a calculation unit and an evaluation unit; the deployment unit is used to use a three-dimensional electronic distribution map to install a group of sensors in each detection area to monitor the environmental status data of each detection area in the farm in real time; the self-check data collection unit performs self-check by collecting the accuracy Zqx, response time Xyt and stability Wdx of each group of sensors, and the specific method is as follows:

[0009] Where Clz represents the current reading of the sensor, Ckz represents the standard reading of the sensor; Xyt max Indicates the maximum response time allowed by the sensor, Xyt sj Indicates the time it takes for the sensor to reach a stable reading; Clc indicates the standard deviation of the measured value within one hour after the sensor is started. max Indicates the maximum standard deviation of the sensor allowed by the system.

[0010] Preferably, the calculation unit is used to extract the accuracy Zqx, response time Xyt and stability Wdx of each group of sensors, and after dimensionless processing, obtain the self-test index Zjzs by calculating through the following formula: ;

[0011] The evaluation unit is used to determine the correctness of the configuration of the sensor in the current detection area according to the self-test index Zjzs of the current sensor. The specific contents are as follows: If the value range of the self-test index Zjzs of the corresponding detection area is placed in If the sensor is inside, it means that the sensor is operating normally and the detection is accurate. At this time, the environment of each detection area in the farm is detected; If the value range of the self-test index Zjzs of the corresponding detection area is not set If the sensor is abnormal, the detection is inaccurate. At this time, adjust and calibrate the current sensor.

[0012] Preferably, the environment monitoring module includes a first monitoring unit, a second monitoring unit and a third monitoring unit; The first monitoring unit is used to monitor and record the climate and environmental data information of each detection area in the farm in real time; the climate and environmental data information includes the temperature Wd, humidity Sd, wind speed Fs and air quality Kql of each detection area during the monitoring period; The second monitoring unit is used to monitor and record the light condition data information of each detection area in the farm in real time; the light condition data information includes the light intensity Gqd, light time Gsj and spectrum value Gpz of each detection area during the monitoring period; The third monitoring unit is used to monitor and record the feed and water quality condition data information of each detection area in the farm in real time; the feed and water quality condition data information includes the water temperature Swd, water impurity content Szh, pH value Pz and feed reserve Scl of each detection area during the monitoring period; The environmental data set is integrated through climate environment data information, light condition data information and feed and water quality condition data information.

[0013] Preferably, the data processing module includes a data cleaning unit and an integration unit; The data cleaning unit is used to detect and delete repeatedly collected data information to avoid data duplication causing deviation in analysis, and to identify missing data to detect and repair outliers; The integration unit is used to perform standardized management on the data processed by the data cleaning unit using dimensionless processing technology, so as to eliminate unit and dimension differences in the data.

[0014] Preferably, the environmental analysis module is used to classify the equipment in the farm into three types according to climate, light, diet and water quality, namely climate-related equipment, light-related equipment and diet and water quality-related equipment; and then calculate and obtain the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys by extracting data from the environmental data set, and the specific method is as follows:

[0015] In the formula, dt represents the variables of light intensity Gqd, light time Gsj and spectrum value Gpz; The environmental coefficient Hjxs is calculated by the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys, and the specific method is as follows:

[0016] Where V1, V2 and V3 represent the weight coefficients of climate index Qhzs, light index Gzzs and diet and water quality index Ysys respectively; and 0≤V1<1, 0≤V2<1, 0≤V3<1, V1+V2+V3=1.

[0017] Preferably, the green energy-saving optimization module includes an evaluation unit and an optimization unit; the evaluation unit uses an environmental threshold E 1 and environmental threshold E 2 , evaluate the environmental factor Hjxs and generate the following equipment adjustment gear scheme: If the environmental coefficient Hjxs> environmental threshold E 1 , indicating that the current environment in the farm is abnormal and the overall index is higher than the preset threshold. At this time, all equipment in the farm is adjusted down by one gear to reduce the energy consumption of the current equipment; If the environmental threshold E1 ≤Environmental coefficient Hjxs≤Environmental threshold E 2 , indicating that the current environment in the farm is normal, and then sorting according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys, and paying attention to the energy consumption index of the primary type of equipment, and adjusting the equipment gear appropriately; If the environmental threshold E 2 >Environmental coefficient Hjxs, indicating that the current environment in the farm is abnormal and the overall index is lower than the preset threshold. At this time, the climate index Qhzs, light index Gzzs and diet and water quality index Ysys in the farm are sorted from low to high, and the equipment in the farm is adjusted up one gear accordingly.

[0018] Preferably, the optimization unit is used to self-adjust all equipment in the farm according to the equipment gear adjustment plan; the PLC controller is interconnected with the system and the sensor through the Internet of Things, the PLC controller is combined with the environmental analysis module, and then the different gears and automatic switching conditions of the PLC controller are set, and then the equipment in the farm is self-adjusted according to the feedback data from the sensor.

[0019] Preferably, a method for controlling energy consumption of a green energy-saving building comprises the following steps: Step 1: The field map drawing module draws the electronic distribution map in the farm; after the electronic distribution map is drawn, the electronic distribution map is divided into several detection areas; Step 2: The system deploys a self-check module. According to the electronic distribution map, several groups of sensors are installed in the farm and the self-check index Zjzs is calculated. Before monitoring the environment, the self-check index Zjzs of each sensor component is evaluated to verify the correctness of the system configuration. Step 3: The environmental monitoring module monitors and collects environmental data information in the farm in real time, and classifies and summarizes the environmental data information to construct an environmental data set, while monitoring and recording environmental changes and environmental data in the farm; Step 4: The environmental data processing module corrects the relevant data information in the environmental data set, identifies and eliminates the inconsistent, erroneous or missing data information, and uses dimensionless processing technology to normalize the data with different measurement units, and extracts the environmental data set to construct the environmental data set; Step 5: Environmental analysis module, based on the environmental data set, comprehensively considers and quantifies the environmental status of each detection area in the farm, including the climate index Qhzs, the light index Gzzs, and the diet and water quality index Ysys; and simultaneously fits the climate index Qhzs, the light index Gzzs, and the diet and water quality index Ysys to obtain the environmental coefficient Hjxs of each detection area in the farm; Step 6: The green energy-saving optimization module sets the environmental threshold E in advance. 1 and environmental threshold E 2 , and the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Comparative analysis is performed to obtain the current matching equipment adjustment gear; then the equipment and equipment energy consumption are further refined and adjusted according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys. Beneficial Effects

[0020] The present invention provides a method and system for controlling energy consumption of green energy-saving buildings, which has the following beneficial effects: (1) The energy consumption control method and system of a green energy-saving building reasonably arranges sensors according to the electronic distribution map and the division of detection areas, ensuring that the environmental status of each area can be accurately monitored and avoiding excessive concentration or uneven distribution of sensors; then by calculating the accuracy Zqx, it ensures that the error between the data read by the sensor and the standard reading is within an acceptable range, thereby ensuring the accuracy of the data; the response time Xyt indicates that the sensor reaches a stable reading within the allowed time, thereby improving the system's response speed to environmental changes; the stability Wdx ensures the data consistency of the sensor during long-term operation, reduces data fluctuations, and enhances the reliability of monitoring data; by calculating the self-test index Zjzs, the configuration and operating status of the sensor are comprehensively evaluated, abnormal sensors are discovered and adjusted in a timely manner, ensuring the correctness and effectiveness of the system configuration, avoiding the sensor being affected by the environment in the farm, and preventing the performance and accuracy from decreasing, thereby saving energy consumption and avoiding waste.

[0021] (2) A method and system for controlling energy consumption of green energy-saving buildings. The environmental analysis module realizes multi-dimensional monitoring of the environment in the farm based on the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys, and provides comprehensive environmental status data. Then, by calculating the environmental coefficient Hjxs, the environmental status of each detection area is quantified to facilitate energy saving. The green energy-saving optimization module is based on the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Conduct assessments to enable intelligent self-adjustment of equipment gears to optimize energy consumption while ensuring environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of the structure framework of an energy consumption control system for a green energy-saving building according to the present invention; Figure 2 A schematic flow chart of an energy consumption control method for a green energy-saving building according to the present invention; DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Example 1, please refer to Figure 1 , the present invention provides an energy consumption control system for a green energy-saving building, including a site map drawing module, a system deployment self-checking module, an environmental monitoring module, an environmental data processing module, an environmental analysis module and a green energy-saving optimization module; The field map drawing module is used to draw the electronic distribution map in the breeding farm; after the electronic distribution map is drawn, the electronic distribution map is divided into a number of detection areas; The system deploys a self-check module, which is used to install several groups of sensors in the farm according to the electronic distribution map and calculate the self-check index Zjzs; before monitoring the environment, the self-check index Zjzs of each sensor component is evaluated to verify the correctness of the system configuration; The environmental monitoring module is used to monitor and collect environmental data information in the farm in real time, and classify and summarize the environmental data information to construct an environmental data set, while monitoring and recording environmental changes and environmental data in the farm; The environmental data processing module is used to perform data correction on the relevant data information in the environmental data set, identify and eliminate inconsistent, erroneous or missing data information, and use dimensionless processing technology to normalize data with different measurement units to unify them, and extract environmental data sets to construct environmental data sets; The environmental analysis module is used to comprehensively consider and quantify the environmental status of each detection area in the farm based on the environmental data set, including the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys; and simultaneously fit the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys to obtain the environmental coefficient Hjxs of each detection area in the farm; The green energy-saving optimization module is used to pre-set the environmental threshold E 1 and environmental threshold E 2 , and the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Comparative analysis is performed to obtain the current matching equipment adjustment gear; then the equipment and equipment energy consumption are further refined and adjusted according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys.

[0025] In this embodiment, by drawing an electronic distribution map, the layout of the farm is clearly understood, which helps to reasonably plan the installation location of the sensor; the farm is divided into multiple detection areas, which is convenient for monitoring and analyzing the environmental characteristics of different areas; the working status of the sensor is automatically evaluated through the self-check index Zjzs, and the problems of the sensor components are discovered in time, which can avoid data accuracy problems caused by configuration errors or failures; the environmental data is obtained and calculated in time, so that the system can respond quickly to environmental changes and ensure the stability of the breeding environment; the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Conduct comparative analysis to optimize energy consumption and reduce energy consumption costs of farms.

[0026] Example 2, please refer to Figure 1 The site map drawing module obtains basic information of the farm through architectural drawings and on-site measurement data; then divides the farm into several detection areas according to the area of ​​the electronic distribution map, and marks the detection areas with serial numbers, which are marked as QY1, QY2, QY3, ..., QY n , n represents the number of segmented regions.

[0027] In this embodiment, the architectural drawings usually include the structural layout of the farm, while the on-site measurement data provides actual size and location data, which are comprehensively processed to generate an accurate site map; the electronic distribution map serves as a digitized map of the farm, showing its actual layout and structure; the purpose of the division is to facilitate management and detection, ensuring that each area can be effectively monitored and maintained.

[0028] Embodiment 3, the system deployment self-check module includes a deployment unit, a self-check data collection unit, a calculation unit and an evaluation unit; the deployment unit is used to use a three-dimensional electronic distribution map to install a group of sensors in each detection area to monitor the environmental status data of each detection area in the farm in real time; the self-check data collection unit performs self-check by collecting the accuracy Zqx, response time Xyt and stability Wdx of each group of sensors, and the specific method is as follows:

[0029] Where Clz represents the current reading of the sensor, Ckz represents the standard reading of the sensor; Xyt max Indicates the maximum response time allowed by the sensor, Xyt sj Indicates the time it takes for the sensor to reach a stable reading; Clc indicates the standard deviation of the measured value within one hour after the sensor is started. max Indicates the maximum standard deviation of the sensor allowed by the system.

[0030] The calculation unit is used to extract the accuracy Zqx, response time Xyt and stability Wdx of each group of sensors, and after dimensionless processing, the self-test index Zjzs is calculated by the following formula: ;

[0031] The evaluation unit is used to determine the correctness of the configuration of the sensor in the current detection area according to the self-test index Zjzs of the current sensor. The specific contents are as follows: If the value range of the self-test index Zjzs of the corresponding detection area is placed in If the sensor is inside, it means that the sensor is operating normally and the detection is accurate. At this time, the environment of each detection area in the farm is detected; If the value range of the self-test index Zjzs of the corresponding detection area is not set If the sensor is abnormal, the detection is inaccurate. At this time, adjust and calibrate the current sensor.

[0032] In this embodiment, the specific location and range of the detection area are determined by a three-dimensional electronic distribution map, and the sensors are reasonably arranged to ensure full coverage of each detection area and achieve real-time environmental monitoring; accuracy Zqx is a measure of the deviation between the sensor reading and the standard reading. High accuracy means that the data information provided by the sensor is close to the actual environmental conditions, ensuring the credibility of the monitoring data; response time Xyt is a measure of the time required for the sensor to detect changes and output stable readings. A shorter response time means that the sensor can quickly capture environmental changes and ensure the real-time nature of the data; stability Wdx is a measure of the fluctuation of the sensor reading within a period of time after startup. High stability means that the readings provided by the sensor fluctuate little over a period of time and the data consistency is high.

[0033] In embodiment 4, the environment monitoring module includes a first monitoring unit, a second monitoring unit and a third monitoring unit; The first monitoring unit is used to monitor and record the climate and environmental data information of each detection area in the farm in real time; the climate and environmental data information includes the temperature Wd, humidity Sd, wind speed Fs and air quality Kql of each detection area during the monitoring period; The second monitoring unit is used to monitor and record the light condition data information of each detection area in the farm in real time; the light condition data information includes the light intensity Gqd, light time Gsj and spectrum value Gpz of each detection area during the monitoring period; The third monitoring unit is used to monitor and record the feed and water quality condition data information of each detection area in the farm in real time; the feed and water quality condition data information includes the water temperature Swd, water impurity content Szh, pH value Pz and feed reserve Scl of each detection area during the monitoring period; The environmental data set is integrated through climate environment data information, light condition data information and feed and water quality condition data information.

[0034] In this embodiment, temperature Wd is an important factor affecting the growth and health of farmed animals. Too high or too low temperature will cause stress response in animals, affecting their health and production performance. Humidity Sd has a direct impact on the comfort and health of animals. The appropriate humidity level helps to maintain the water balance in the animal's body and prevent diseases caused by dehydration or excessive humidity. Wind speed Fs affects air circulation and heat dissipation in the farm. Proper air circulation helps to remove harmful gases, reduce temperature, improve air quality, and prevent the spread of pathogens. Air quality Kql directly affects the respiratory health of animals, monitors pollutants and harmful gases in the air, including ammonia and hydrogen sulfide content, ensures clean air in the farm, and reduces the occurrence of respiratory diseases. Light intensity Gqd has an important impact on the physiological activities and growth of animals. Appropriate light intensity can regulate the animal's biological clock, promote appetite and growth; light time Gsj affects the behavior and physiological rhythm of animals. Appropriate lighting time can ensure the normal activities and rest of animals and improve production efficiency; Spectral value Gpz Spectra of different wavelengths have different effects on the growth and health of animals. Monitoring spectral values ​​can ensure that suitable lighting conditions for animal growth are provided to promote healthy growth; Water temperature Swd Water temperature affects the amount of water consumed and digestive function of animals. Appropriate water temperature can promote drinking and appetite and improve digestion and absorption efficiency; Water impurity content Szh affects the cleanliness and safety of water quality. High impurity content can cause water pollution and affect animal health. Ensuring clean water quality helps prevent diseases; pH value Pz affects the quality and health of animal drinking water. Abnormal pH value makes water quality unstable, which in turn stimulates and damages the animal digestive system; Feed reserves Scl are related to the nutritional supply of animals. Timely monitoring and replenishing feed reserves ensure that farmed animals have adequate nutritional intake.

[0035] In embodiment 5, the data processing module includes a data cleaning unit and an integration unit; The data cleaning unit is used to detect and delete repeatedly collected data information to avoid data duplication causing deviation in analysis, and to identify missing data to detect and repair outliers; The integration unit is used to perform standardized management on the data processed by the data cleaning unit using dimensionless processing technology, so as to eliminate unit and dimension differences in the data.

[0036] In this embodiment, the data cleaning unit detects and deletes repeatedly collected data information in the data processing module to avoid deviations in the analysis results caused by data duplication; at the same time, the data cleaning unit also identifies and repairs outliers and missing data to ensure the integrity and accuracy of the data and provide reliable basic data for subsequent analysis; the integration unit uses dimensionless processing technology to standardize the data processed by the data cleaning unit to eliminate unit and dimension differences in the data, which enables data from different sources and units to be uniformly processed and analyzed on the same platform, further improving the efficiency and accuracy of data integration and analysis.

[0037] Example 6: The environmental analysis module is used to classify the equipment in the farm into three types according to climate, light, diet and water quality, namely climate-related equipment, light-related equipment and diet and water quality-related equipment; and then calculate and obtain the climate index Qhzs, light index Gzzs and diet and water quality index Ysys by extracting data from the environmental data set, and the specific method is as follows:

[0038] In the formula, dt represents the variables of light intensity Gqd, light time Gsj and spectrum value Gpz; The environmental coefficient Hjxs is calculated by the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys, and the specific method is as follows:

[0039] Where V1, V2 and V3 represent the weight coefficients of climate index Qhzs, light index Gzzs and diet and water quality index Ysys respectively; and 0≤V1<1, 0≤V2<1, 0≤V3<1, V1+V2+V3=1.

[0040] In this embodiment, climate-related equipment includes heaters, ventilation equipment, etc., which mainly affect temperature, humidity and air quality; light-related equipment includes lighting systems, which mainly affect light intensity, light time and spectral value; diet and water quality-related equipment includes automatic feeding systems and water quality management systems, which mainly affect water temperature, water quality and feed reserves.

[0041] In embodiment 7, the green energy-saving optimization module includes an evaluation unit and an optimization unit; the evaluation unit uses an environmental threshold E 1 and environmental threshold E 2 , evaluate the environmental factor Hjxs and generate the following equipment adjustment gear scheme: If the environmental coefficient Hjxs> environmental threshold E 1 , indicating that the current environment in the farm is abnormal and the overall index is higher than the preset threshold. At this time, all equipment in the farm is adjusted down by one gear to reduce the energy consumption of the current equipment; If the environmental threshold E 1 ≤Environmental coefficient Hjxs≤Environmental threshold E 2 , indicating that the current environment in the farm is normal, and then sorting according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys, and paying attention to the energy consumption index of the primary type of equipment, and adjusting the equipment gear appropriately; If the environmental threshold E 2 >Environmental coefficient Hjxs, indicating that the current environment in the farm is abnormal and the overall index is lower than the preset threshold. At this time, the climate index Qhzs, light index Gzzs and diet and water quality index Ysys in the farm are sorted from low to high, and the equipment in the farm is adjusted up one gear accordingly.

[0042] The optimization unit is used to self-adjust all equipment in the farm according to the equipment gear adjustment plan; the PLC controller is interconnected with the system and the sensor through the Internet of Things, the PLC controller is combined with the environmental analysis module, and then the different gears and automatic switching conditions of the PLC controller are set, and then the equipment in the farm is self-adjusted according to the feedback data from the sensor.

[0043] In this embodiment, when the environmental coefficient Hjxs exceeds the upper limit, the equipment gear is lowered to reduce unnecessary energy consumption and achieve the purpose of reducing excessive operating energy consumption; when the environmental index is lower than the lower limit, the equipment gear is increased to ensure the effectiveness of environmental regulation and avoid environmental discomfort caused by insufficient equipment operation; the equipment is then managed according to the climate, light, diet and water quality classification, and targeted adjustments are made to improve the accuracy and effect of environmental regulation. The PLC controller is used to realize dynamic adjustment of the equipment, and the equipment operation status is intelligently adjusted according to real-time data feedback to improve the responsiveness and flexibility of the system.

[0044] Example 8, a method for controlling energy consumption of a green energy-saving building, see Figure 2 , including the following steps: Step 1: The field map drawing module draws the electronic distribution map in the farm; after the electronic distribution map is drawn, the electronic distribution map is divided into several detection areas; Step 2: The system deploys a self-check module. According to the electronic distribution map, several groups of sensors are installed in the farm and the self-check index Zjzs is calculated. Before monitoring the environment, the self-check index Zjzs of each sensor component is evaluated to verify the correctness of the system configuration. Step 3: The environmental monitoring module monitors and collects environmental data information in the farm in real time, and classifies and summarizes the environmental data information to construct an environmental data set, while monitoring and recording environmental changes and environmental data in the farm; Step 4: The environmental data processing module corrects the relevant data information in the environmental data set, identifies and eliminates the inconsistent, erroneous or missing data information, and uses dimensionless processing technology to normalize the data with different measurement units, and extracts the environmental data set to construct the environmental data set; Step 5: Environmental analysis module, based on the environmental data set, comprehensively considers and quantifies the environmental status of each detection area in the farm, including the climate index Qhzs, the light index Gzzs, and the diet and water quality index Ysys; and simultaneously fits the climate index Qhzs, the light index Gzzs, and the diet and water quality index Ysys to obtain the environmental coefficient Hjxs of each detection area in the farm; Step 6: The green energy-saving optimization module sets the environmental threshold E in advance. 1 and environmental threshold E 2 , and the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Comparative analysis is performed to obtain the current matching equipment adjustment gear; then the equipment and equipment energy consumption are further refined and adjusted according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys.

[0045] In this embodiment, the system deploys a self-check module and an environmental data processing module to improve data accuracy and consistency and ensure high data quality; the environmental monitoring module monitors various environmental parameters in real time and comprehensively to accurately grasp the environmental status; the green energy-saving optimization module dynamically adjusts the equipment gear to reduce energy consumption and improve energy-saving effects; and the Internet of Things and PLC control are used to realize automatic equipment management and reduce manual intervention.

[0046] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An energy consumption control system for a green energy-saving building, characterized in that: It includes site map drawing module, system deployment self-check module, environmental monitoring module, environmental data processing module, environmental analysis module and green energy-saving optimization module; The field map drawing module is used to draw the electronic distribution map in the breeding farm; after the electronic distribution map is drawn, the electronic distribution map is divided into a number of detection areas; The system deploys a self-check module, which is used to install several groups of sensors in the farm according to the electronic distribution map and calculate the self-check index Zjzs; before monitoring the environment, the self-check index Zjzs of each sensor component is evaluated to verify the correctness of the system configuration; The environmental monitoring module is used to monitor and collect environmental data information in the farm in real time, and classify and summarize the environmental data information to construct an environmental data set, while monitoring and recording environmental changes and environmental data in the farm; The environmental data processing module is used to perform data correction on the relevant data information in the environmental data set, identify and eliminate inconsistent, erroneous or missing data information, and use dimensionless processing technology to normalize data with different measurement units to unify them, and extract environmental data sets to construct environmental data sets; The environmental analysis module is used to comprehensively consider and quantify the environmental status of each detection area in the farm based on the environmental data set, including the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys; and simultaneously fit the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys to obtain the environmental coefficient Hjxs of each detection area in the farm; The green energy-saving optimization module is used to pre-set the environmental threshold E1 and the environmental threshold E2, and to convert the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Comparative analysis is performed to obtain the current matching equipment adjustment gear; then the equipment and equipment energy consumption are further refined and adjusted according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys.

2. The energy consumption control system of a green energy-saving building according to claim 1 is characterized in that: The site map drawing module obtains basic information of the farm through architectural drawings and on-site measurement data; then divides the farm into several detection areas according to the area of ​​the electronic distribution map, and marks the detection areas with serial numbers, namely QY1, QY2, QY3, ..., QY n , n represents the number of segmented regions.

3. The energy consumption control system of a green energy-saving building according to claim 1 is characterized in that: The system deployment self-check module includes a deployment unit, a self-check data collection unit, a calculation unit and an evaluation unit; the deployment unit is used to use a three-dimensional electronic distribution map to install a group of sensors in each detection area to monitor the environmental status data of each detection area in the farm in real time; the self-check data collection unit performs self-check by collecting the accuracy Zqx, response time Xyt and stability Wdx of each group of sensors, and the specific method is as follows: Where Clz represents the current reading of the sensor, Ckz represents the standard reading of the sensor; Xyt max Indicates the maximum response time allowed by the sensor, Xyt sj Indicates the time it takes for the sensor to reach a stable reading; Clc indicates the standard deviation of the measured value within one hour after the sensor is started. max Indicates the maximum standard deviation of the sensor allowed by the system.

4. The energy consumption control system for a green energy-saving building according to claim 3 is characterized in that: The calculation unit is used to extract the accuracy Zqx, response time Xyt and stability Wdx of each group of sensors, and after dimensionless processing, the self-test index Zjzs is calculated by the following formula: The evaluation unit is used to determine the correctness of the configuration of the sensor in the current detection area according to the self-test index Zjzs of the current sensor. The specific contents are as follows: If the value range of the self-test index Zjzs of the corresponding detection area is placed in If the sensor is inside, it means that the sensor is operating normally and the detection is accurate. At this time, the environment of each detection area in the farm is detected; If the value range of the self-test index Zjzs of the corresponding detection area is not set If the sensor is abnormal, the detection is inaccurate. At this time, adjust and calibrate the current sensor.

5. The energy consumption control system for a green energy-saving building according to claim 1 is characterized in that: The environmental monitoring module includes a first monitoring unit, a second monitoring unit and a third monitoring unit; The first monitoring unit is used to monitor and record the climate and environmental data information of each detection area in the farm in real time; the climate and environmental data information includes the temperature Wd, humidity Sd, wind speed Fs and air quality Kql of each detection area during the monitoring period; The second monitoring unit is used to monitor and record the light condition data information of each detection area in the farm in real time; the light condition data information includes the light intensity Gqd, light time Gsj and spectrum value Gpz of each detection area during the monitoring period; The third monitoring unit is used to monitor and record the feed and water quality condition data information of each detection area in the farm in real time; the feed and water quality condition data information includes the water temperature Swd, water impurity content Szh, pH value Pz and feed reserve Scl of each detection area during the monitoring period; The environmental data set is integrated through climate environment data information, light condition data information and feed and water quality condition data information.

6. The energy consumption control system for a green energy-saving building according to claim 1 is characterized in that: The data processing module includes a data cleaning unit and an integration unit; The data cleaning unit is used to detect and delete repeatedly collected data information to avoid data duplication causing deviation in analysis, and to identify missing data to detect and repair outliers; The integration unit is used to perform standardized management on the data processed by the data cleaning unit using dimensionless processing technology, so as to eliminate unit and dimension differences in the data.

7. The energy consumption control system for a green energy-saving building according to claim 1 is characterized in that: The environmental analysis module is used to classify the equipment in the farm into three types according to climate, light, diet and water quality, namely climate-related equipment, light-related equipment and diet and water quality-related equipment; and then calculate and obtain the climate index Qhzs, light index Gzzs and diet and water quality index Ysys by extracting data from the environmental data set, and the specific method is as follows: In the formula, dt represents the variables of light intensity Gqd, light time Gsj and spectrum value Gpz; The environmental coefficient Hjxs is calculated by using the climate index Qhzs, the light index Gzzs and the diet and water quality index Ysys, and the specific method is as follows: Where V1, V2 and V3 represent the weight coefficients of climate index Qhzs, light index Gzzs and diet and water quality index Ysys respectively; and 0≤V1<1, 0≤V2<1, 0≤V3<1, V1+V2+V3=1.

8. The energy consumption control system for a green energy-saving building according to claim 1 is characterized in that: The green energy-saving optimization module includes an evaluation unit and an optimization unit; the evaluation unit uses an environmental threshold E 1 and environmental threshold E 2 , evaluate the environmental factor Hjxs and generate the following equipment adjustment gear scheme: If the environmental coefficient Hjxs> environmental threshold E 1 , indicating that the current environment in the farm is abnormal and the overall index is higher than the preset threshold. At this time, all equipment in the farm is adjusted down by one gear to reduce the energy consumption of the current equipment; If the environmental threshold E 1 ≤Environmental coefficient Hjxs≤Environmental threshold E 2 , indicating that the current environment in the farm is normal, and then sorting according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys, and paying attention to the energy consumption index of the primary type of equipment, and adjusting the equipment gear appropriately; If the environmental threshold E 2 >Environmental coefficient Hjxs, indicating that the current environment in the farm is abnormal and the overall index is lower than the preset threshold. At this time, the climate index Qhzs, light index Gzzs and diet and water quality index Ysys in the farm are sorted from low to high, and the equipment in the farm is adjusted up one gear accordingly.

9. The energy consumption control system for a green energy-saving building according to claim 8, characterized in that: The optimization unit is used to self-adjust all equipment in the farm according to the equipment gear adjustment plan; the PLC controller is interconnected with the system and the sensor through the Internet of Things, the PLC controller is combined with the environmental analysis module, and then the different gears and automatic switching conditions of the PLC controller are set, and then the equipment in the farm is self-adjusted according to the feedback data from the sensor.

10. The energy consumption control method of a green energy-saving building according to claim 1 is applied to the energy consumption control system of a green energy-saving building according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: The field map drawing module draws the electronic distribution map in the farm; after the electronic distribution map is drawn, the electronic distribution map is divided into several detection areas; Step 2: The system deploys a self-check module. According to the electronic distribution map, several groups of sensors are installed in the farm and the self-check index Zjzs is calculated. Before monitoring the environment, the self-check index Zjzs of each sensor component is evaluated to verify the correctness of the system configuration. Step 3: The environmental monitoring module monitors and collects environmental data information in the farm in real time, and classifies and summarizes the environmental data information to construct an environmental data set, while monitoring and recording environmental changes and environmental data in the farm; Step 4: The environmental data processing module corrects the relevant data information in the environmental data set, identifies and eliminates the inconsistent, erroneous or missing data information, and uses dimensionless processing technology to normalize the data with different measurement units, and extracts the environmental data set to construct the environmental data set; Step 5: Environmental analysis module, based on the environmental data set, comprehensively considers and quantifies the environmental status of each detection area in the farm, including the climate index Qhzs, the light index Gzzs, and the diet and water quality index Ysys; and simultaneously fits the climate index Qhzs, the light index Gzzs, and the diet and water quality index Ysys to obtain the environmental coefficient Hjxs of each detection area in the farm; Step 6: The green energy-saving optimization module sets the environmental threshold E in advance. 1 and environmental threshold E 2 , and the environmental coefficient Hjxs and the environmental threshold E 1 and environmental threshold E 2 Comparative analysis is performed to obtain the current matching equipment adjustment gear; then the equipment and equipment energy consumption are further refined and adjusted according to the climate index Qhzs, light index Gzzs and diet and water quality index Ysys.

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