Internet-of-things management and control platform and method for comprehensive energy system of ecological park

Abstract

The invention discloses an ecological park integrated energy system Internet of Things management and control platform and method, and belongs to the technical field of energy management. The platform comprises an Internet of Things layer and an application layer, wherein the Internet of Things layer comprises a communication transmission layer and an equipment sensing layer; the communication transmission layer is used for acquiring the equipment power consumption data and the environmental factor data in the ecological park acquired by the equipment sensing layer, and performing preprocessing to obtain preprocessed equipment power consumption data and environmental factor data; inputting the power utilization data of the preprocessing equipment and the environmental factor data into a soil-environment-electrical information database; and the application layer is used for analyzing data in the soil-environment-electrical information database, and managing, controlling and adjusting the ecological park comprehensive energy system according to an analysis result. According to the invention, the barrier of data sharing is solved, the integrated energy system equipment in the park is monitored and deployed, the operation and maintenance difficulty is reduced, the park management efficiency is improved, and it is ensured that the park operates in a safe, stable and efficient state.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to an Internet of Things management and control platform and method for an integrated energy system of an ecological park. Background Art

[0002] In the current development process of agricultural ecological parks, the construction and optimization of integrated energy systems face a complex situation with multiple challenges and opportunities. With the increasing global attention to sustainable development and green ecology, agricultural ecological parks, as a new agricultural development model integrating production, scientific research, education, leisure and other functions, the intelligent and electrified transformation of their integrated energy systems is particularly important.

[0003] First, the widespread application of distributed power grid-connected technology has provided the ecological park with a more flexible and diverse energy supply method, but it has also brought significant impacts on the power quality of the park. The access of distributed power sources such as solar photovoltaic panels and wind turbines has made the grid structure more complex, and voltage fluctuations, harmonic pollution and other problems often occur, which not only affects the normal operation of various energy-consuming equipment in the park, but may also interfere with the external power grid of the park, threatening the stability of the entire power system.

[0004] Secondly, the increasing number of electrical equipment has led to increasing difficulty in daily operation and maintenance, troubleshooting, optimization and upgrading of the park's integrated energy system. This not only affects the utilization of system equipment, increases unnecessary energy consumption and costs, but may also lead to production interruptions or equipment damage due to untimely fault detection, further exacerbating the park's operational pressure.

[0005] Furthermore, at present, many ecological parks still rely on traditional manual inspections and manual operations in energy management and environmental monitoring, which is not only inefficient, but also difficult to achieve real-time and accurate collection and analysis of various data in the park. This leads to the lack of scientific basis for energy scheduling and production decision-making in the park, making it difficult to achieve refined management and efficient operation. At the same time, there is a lack of effective data sharing and collaborative working mechanisms between the subsystems in the park, making it difficult to form a unified management and control platform, which limits the improvement of the overall electrification and intelligence level of the park. Summary of the invention

[0006] Aiming at the problems of power quality, increased difficulty of operation and maintenance, low efficiency and data sharing obstacles caused by the grid connection of distributed power sources in the ecological park integrated energy system existing in the prior art, the present invention provides an Internet of Things management and control method for the ecological park integrated energy system, which solves the obstacles of data sharing, monitors and deploys the integrated energy system equipment in the park, reduces the difficulty of operation and maintenance, improves the efficiency of park management, and ensures that the park operates in a safe, stable and efficient state.

[0007] In order to achieve the above object, the present invention provides the following technical solutions.

[0008] In the first aspect, the present invention provides an Internet of Things management and control platform for an integrated energy system of an ecological park, including an Internet of Things layer and an application layer: The Internet of Things layer includes a communication transport layer and a device sensing layer; The communication transmission layer is used to obtain the equipment power consumption data and environmental factor data in the ecological park collected by the equipment sensing layer, and pre-process the obtained pre-processed equipment power consumption data and environmental factor data; the pre-processed equipment power consumption data and environmental factor data are input into the soil-environment-electrical information database; The application layer is used to analyze the data in the soil-environment-electrical information database, and to control and adjust the integrated energy system of the ecological park according to the analysis results.

[0009] As a further improvement of the present invention, the equipment power consumption data and environmental factor data in the ecological park collected by the equipment sensor layer include: The equipment power consumption data in the ecological park collected by the equipment sensing layer is the power consumption of monitoring equipment, agricultural equipment, photovoltaic and energy storage devices collected by the equipment sensing layer in real time or at a scheduled time through sensors; The environmental factor data in the ecological park collected by the device sensing layer is the moisture content, temperature, EC value of the soil, and the light intensity and duration of light in the ecological park collected by the device sensing layer through sensors in real time or at a scheduled manner.

[0010] As a further improvement of the present invention, the communication transmission layer is provided with a ZigBee terminal monitoring module, a ZigBee routing node module and a ZigBee coordinator + GPRS gateway module; The ZigBee terminal monitoring module is used to obtain the power consumption data and environmental factor data of the equipment in the ecological park of the sensor collection layer, and perform noise filtering and time synchronization processing on the data to obtain pre-processed power consumption data and pre-processed environmental factor data; The ZigBee routing node module transmits the pre-processed electricity consumption data and the pre-processed environmental factor data to the soil-environment-electrical information database; The ZigBee coordinator+GPRS gateway module reads the information in the electrical information database and transmits the information in the electrical information database to the application layer.

[0011] As a further improvement of the present invention, the ZigBee terminal monitoring module is used to obtain the power consumption data and environmental factor data of the equipment in the ecological park of the sensor collection layer, and perform noise filtering and time synchronization processing on the data to obtain pre-processed power consumption data and pre-processed environmental factor data, including: Several sensors are installed in the eco-park to collect power consumption data and environmental factor data of electrical equipment in the eco-park; The ZigBee terminal monitoring module collects data on the power consumption and environmental factors of the electrical equipment in the ecological park through sensors; The ZigBee terminal monitoring module collects the equipment power consumption data and environmental factor data of the electrical equipment in the ecological park, performs noise filtering, and obtains the noise reduction processed power consumption data and pre-processed environmental factor data of the ecological park; The ZigBee terminal monitoring module performs time synchronization processing on the noise reduction power consumption data and pre-processed environmental factor data of the ecological park to obtain the pre-processed power consumption data and pre-processed environmental factor data of the ecological park; The ZigBee terminal monitoring module sends the pre-processed electricity consumption data and pre-processed environmental factor data of the ecological park to the ZigBee routing node module.

[0012] As a further improvement of the present invention, the ZigBee routing node module transmits the pre-processed power consumption data and the pre-processed environmental factor data to the soil-environment-electrical information database, including: The ZigBee routing node module receives the pre-processed power consumption data and pre-processed environmental factor data of the ecological park sent by the ZigBee terminal monitoring module; The ZigBee routing node module performs weighted fusion processing on the pre-processed electricity consumption data and pre-processed environmental factor data of the ecological park to obtain the fused electricity consumption data and environmental factor data; The ZigBee routing node module transmits the fused power consumption data and environmental factor data to the ZigBee coordinator; The Zigbee coordinator is input into the soil-environment-electrical information database.

[0013] As a further improvement of the present invention, the ZigBee routing node module performs weighted fusion processing on the pre-processed power consumption data and pre-processed environmental factor data of the ecological park to obtain fused power consumption data and environmental factor data, including: The ZigBee routing node module uses the pre-processed power consumption data of the ecological park and the average value of the pre-processed environmental factor data transmitted by the sensor and variance Calculate weighting coefficients And the optimal measured temperature value after fusion ; Weighting coefficient And the optimal measured temperature value after fusion satisfy:

[0014]

[0015] Total mean square error

[0016] In the formula, It is the variance calculated after the sensor measures multiple times continuously; When the total mean square error When the minimum, the corresponding weighting coefficient ; Will Bring back Find the fusion value of the data ; Upload the fused measurements to the Zigbee coordinator.

[0017] As a further improvement of the present invention, the soil-environment-electrical information database includes: The soil-environment-electrical information database is a Web-based configurable soil-environment-electrical information database built through a B / S architecture; The soil-environment-electrical information database introduces a composite primary key of a timestamp TIMESTAME and an equipment number ID, and establishes a clustered index of the database, so that the physical storage order of the data is consistent with the timestamp order.

[0018] As a further improvement of the present invention, the application layer is used to analyze the data in the soil-environment-electrical information database, and to control and adjust the integrated energy system of the ecological park according to the analysis results, including: The application layer includes the IoT management and control platform; The Internet of Things management and control platform receives data from the soil-environment-electrical information database in the communication transmission layer; Collect and analyze the data in the soil-environment-electrical information database, and complete the energy data statistics and analysis of the ecological park comprehensive energy system according to the thresholds set by the ecological park comprehensive energy system; Based on the energy data statistics and analysis results of the ecological park’s comprehensive energy system, the ecological park’s comprehensive energy system is managed and adjusted.

[0019] As a further improvement of the present invention, the application layer communicates with several types of devices in the ecological park integrated energy system through an API interface, and is used to remotely control several types of devices in the ecological park integrated energy system.

[0020] In a second aspect, the present invention provides an Internet of Things management and control method for an integrated energy system of an ecological park, comprising: Obtaining the equipment power consumption data and environmental factor data in the ecological park collected by the equipment sensor layer, and preprocessing them to obtain the preprocessed equipment power consumption data and environmental factor data; Input the electricity consumption data and environmental factor data of the pretreatment equipment into the soil-environment-electrical information database; Analyze the data in the soil-environment-electrical information database, and manage and adjust the integrated energy system of the ecological park based on the analysis results.

[0021] In a third aspect, the present invention provides an Internet of Things management and control system for an integrated energy system of an ecological park, comprising: Data acquisition module: collects the power consumption data and environmental factor data of the equipment in the ecological park, performs noise filtering and time synchronization processing on the data, and obtains pre-processed power consumption data and pre-processed environmental factor data; Data transmission module: transmits the pre-processed electricity consumption data and pre-processed environmental factor data to the soil-environment-electrical information database; Management, control and adjustment module: Analyze the information in the electrical information database and make management and adjustment to the integrated energy system of the ecological park based on the analysis results.

[0022] In a fourth aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for Internet of Things management and control of an integrated energy system of an ecological park when executing the computer program.

[0023] In a fifth aspect, the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the Internet of Things management and control method of an ecological park integrated energy system.

[0024] In a sixth aspect, the present invention provides a computer program product, characterized in that it includes computer instructions, which, when executed by a processor, implement the steps of the Internet of Things management and control method of an ecological park integrated energy system.

[0025] Compared with the prior art, the present invention has the following beneficial effects: The invented IoT control platform realizes the comprehensive collection and real-time transmission of sensor layer data of all devices in the park by constructing a communication transmission layer. These data cover multi-dimensional information such as equipment power consumption and environmental factors, such as temperature, humidity, light intensity, etc., and are uniformly stored in the soil-environment-electrical information database after preprocessing. This design breaks down data barriers, promotes comprehensive integration and real-time sharing of data, and provides a rich data source for subsequent intelligent analysis and decision-making. Secondly, the application layer of this platform can timely discover and warn potential power quality problems through in-depth analysis of equipment power consumption data, and finely adjust the output of distributed power sources in combination with intelligent control algorithms, effectively suppress the deterioration of power quality, and ensure the stable operation of the park power grid. Moreover, the application layer can automatically optimize energy configuration according to load changes, improve energy utilization efficiency, and reduce waste. At the same time, this platform realizes remote monitoring and intelligent diagnosis of equipment in the park through IoT technology. Once the equipment is abnormal or has signs of failure, the system can immediately issue an alarm and provide a preliminary diagnosis report to help operation and maintenance personnel quickly locate the problem and take measures. At the same time, the platform also has a predictive maintenance function. By analyzing equipment operation data, it predicts potential failure points and arranges maintenance plans in advance, greatly reducing operation and maintenance costs and time costs.

[0026] Furthermore, based on big data analysis technology, the present invention can conduct in-depth mining and correlation analysis on massive data, revealing the inherent laws of energy use and environmental changes. This provides a scientific basis for decision-making for park managers, helping them to formulate more reasonable energy management strategies and environmental protection measures. In addition, the platform also supports collaborative work among multiple departments and systems, realizes information sharing and business linkage, and further improves the overall efficiency of park management. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings described herein are for illustrative purposes only and are not intended to limit the scope of the present disclosure in any way. In the drawings: Figure 1 This is a schematic diagram of the framework of an eco-park Internet of Things management and control platform of the present invention; Figure 2 A Zigbee network tree topology structure in an Internet of Things management and control platform for an integrated energy system of an ecological park according to the present invention; Figure 3 A comparison chart of sensor data using the adaptive weighted fusion algorithm of the present invention and conventional sensor data; Figure 4 This is a basic functional schematic diagram of an eco-park Internet of Things management and control platform of the present invention; Figure 5 A schematic diagram of a flow chart of an Internet of Things management and control method for an integrated energy system of an ecological park according to the present invention; Figure 6This is a structural schematic diagram of an Internet of Things management and control system for an ecological park comprehensive energy system of the present invention; Figure 7 Schematic diagram of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. The described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present invention.

[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0030] Aiming at the problems of power quality, increased difficulty in operation and maintenance, low efficiency and data sharing barriers caused by the distributed power supply grid connection of the ecological park integrated energy system in the prior art, the present invention provides an Internet of Things management and control platform for the ecological park integrated energy system, such as Figure 1 As shown in the figure, the platform includes the IoT layer and the application layer: The Internet of Things layer includes a communication transport layer and a device sensing layer; The communication transmission layer is used to obtain the equipment power consumption data and environmental factor data in the ecological park collected by the equipment sensing layer, and pre-process the obtained pre-processed equipment power consumption data and environmental factor data; the pre-processed equipment power consumption data and environmental factor data are input into the soil-environment-electrical information database; The application layer is used to analyze the data in the soil-environment-electrical information database, and to control and adjust the integrated energy system of the ecological park according to the analysis results.

[0031] The present invention solves the obstacles to data sharing, monitors and deploys comprehensive energy system equipment in the ecological park, reduces the difficulty of operation and maintenance, improves the management efficiency of the ecological park, and ensures that the ecological park operates in a safe, stable and efficient state.

[0032] The present invention is further explained below in conjunction with specific drawings.

[0033] The present invention provides an Internet of Things management and control platform for an ecological park integrated energy system with environmental perception and control, comprising: The equipment sensing layer uses sensors to collect and process equipment power consumption data of various typical electrical equipment in the ecological park.

[0034] Specifically, multi-dimensional sensors are used to collect and process equipment power consumption data and environmental factor data of various typical electrical equipment in the ecological park.

[0035] S1.1: Load energy data collection Select appropriate sensors and collect information in the ecological park through multi-dimensional sensors and multiple channels to obtain electricity consumption data and environmental factor data in the ecological park.

[0036] The sensor equipment includes power data sensors, soil moisture sensors and light sensors, which collect the power consumption data and environmental factor data of the ecological park in real time or at a scheduled time.

[0037] The electricity consumption data in the ecological park is collected through power data sensors.

[0038] Power data sensors are used to monitor electricity usage in various areas within the eco-park, including but not limited to irrigation systems, greenhouse lighting, ventilation equipment, etc., to evaluate energy efficiency and identify potential energy-saving opportunities.

[0039] Environmental factor data in the ecological park are collected through soil moisture sensors and light sensors.

[0040] Soil moisture sensors are used to monitor soil moisture content, temperature, EC value (electrical conductivity, reflecting soil salinity) and other parameters in the ecological park, providing data support for precise irrigation.

[0041] Light sensors are used to monitor light intensity and duration in ecological parks to optimize greenhouse lighting, adjust crop layout or predict photosynthesis efficiency.

[0042] S1.2: Data preprocessing The collected electricity consumption data and environmental factor data of the ecological park are preprocessed to ensure the quality and accuracy of the data. The data is noise filtered and the noise caused by sensor errors or environmental interference is eliminated using filtering technology to ensure the smoothness of the collected data. The noise reduction processed electricity consumption data and preprocessed environmental factor data of the ecological park are obtained.

[0043] S1.3: Time synchronization and data standardization The noise reduction power consumption data and pre-processing environmental factor data of the ecological park are synchronized and the time format is unified to facilitate comparison and collaborative analysis between different devices. At the same time, the pre-processing power consumption data of the ecological park is converted into standard energy consumption units, such as power (kW), to ensure data consistency and comparability. The pre-processing power consumption data and pre-processing environmental factor data of the ecological park are obtained.

[0044] The communication transmission layer builds an electrical information database based on the power consumption data of various typical power-consuming equipment in the ecological park collected by S1. By using the composite primary key of timestamp TIMESTAME and equipment number ID, a clustered index is established to ensure that the physical storage order of data is consistent with the timestamp order, which facilitates information search and storage. The stability and scalability of the ecological park communication channel are ensured by using Zigbee routers and adaptive weighted fusion algorithms.

[0045] S2.1: To ensure the stability and scalability of the ecological park communication channel, the system communication part chooses to use ZigBee terminal monitoring module, ZigBee routing node module, and ZigBee coordinator + GPRS gateway module.

[0046] ZigBee terminal monitoring modules are deployed in every corner of the ecological park, responsible for directly connecting to multi-dimensional sensors and collecting data. As the end node of the network, the ZigBee terminal monitoring module transmits the collected data to the ZigBee routing node module.

[0047] The ZigBee routing node module is responsible for transmitting the data collected by the ZigBee terminal monitoring module to the ZigBee coordinator + GPRS gateway module.

[0048] The ZigBee coordinator + GPRS gateway module is responsible for establishing and maintaining the network, as well as aggregating and transmitting the data in the ZigBee network to the external system. By combining with the GPRS gateway module, the data in the ZigBee network can be transmitted to a remote server or cloud platform through the mobile communication network, realizing remote monitoring and management of the data.

[0049] S2.2: Establish a Web-based configurable soil-environment-electrical information database.

[0050] Responsible for storing the sensor configuration data of the ecological park transmitted by the ZigBee coordinator and GPRS gateway module, the real-time monitoring data under the system operation environment and the historical data.

[0051] The soil-environment-electrical information database introduces the composite primary key of the timestamp TIMESTAME and the equipment number ID, establishes a clustered index of the database, ensures that the physical storage order of the data is consistent with the timestamp order, and facilitates information search and storage. The partitioning scheme is organized according to the principle that the amount of data in each partition is roughly the same, that is, the data within a time period is divided into 1 partition, and the time interval can be dynamically adjusted according to the system operation status.

[0052] S2.3: The adaptive weighted fusion algorithm is introduced in the ZigBee routing node module, which can dynamically adjust the weight of the data transmission path to optimize the communication quality of the network.

[0053] This algorithm can effectively avoid network congestion and signal interference, thereby improving the stability and reliability of the overall network.

[0054] At the application layer, the IoT management and control platform is built through the B / S architecture. The ecological park data collected by the lower-level sensors is displayed to realize the functions of data perception, monitoring and equipment control of the ecological park.

[0055] Specifically, an IoT management and control platform is built through the B / S architecture to achieve visual display of data and remote control of equipment, providing users with an intuitive ecological park management interface.

[0056] The Internet of Things management and control platform can display the ecological park data collected by sensors and realize functions such as data perception, monitoring and equipment control of the ecological park.

[0057] The present invention will be further described below in conjunction with specific embodiments. Example Device Sensing Layer Select multiple appropriate sensors to collect equipment power data of power equipment in the integrated energy system of the eco-park and environmental factors in the eco-park. Pre-process the collected multiple sets of data, remove noise values, and perform time synchronization.

[0058] Data Communication Layer Establish a Web-based configurable soil-environment-electrical information database; determine the Zigbee network topology; introduce an adaptive weighted fusion algorithm.

[0059] S2.1: Use B / S architecture to build a Web-based configurable soil-environment-electrical information database.

[0060] The soil-environment-electrical information database is designed to be divided into six parts: user information data, sensor data, agricultural product data, electrical equipment data, crop information data, and human resource data.

[0061] The information database design includes user management tables for maintaining the system and allocating usage permissions, data tables for various agricultural products, data tables for electrical equipment information, in-and-out tables for managing agricultural product inventory, warehouse record tables, etc.

[0062] Sensor data and electrical device data are coordinated through the device sensing layer.

[0063] S2.2: The soil-environment-electrical information database introduces the composite primary key of the timestamp TIMESTAME and the equipment number ID, establishes a clustered index of the database, ensures that the physical storage order of the data is consistent with the timestamp order, and facilitates information search and storage. The partitioning scheme is organized according to the principle that the amount of data in each partition is roughly the same, that is, the data within a time period is divided into 1 partition, and the time interval can be dynamically adjusted according to the system operation status.

[0064] S2.3: The network topology of the ZigBee network of this platform adopts a tree topology. Figure 2 As shown. Zigbee terminal devices are responsible for receiving data collected by sensors in the device sensing layer. Zigbee terminal devices transmit data to Zigbee routers through the Zigbee network. Zigbee uses FFD (Full Functional Device) devices to relay these data and ensure that they are reliably transmitted to the Zigbee coordinator. As the core node of the network, the Zigbee coordinator manages the entire Zigbee network and uploads data to the upper-layer application system of the management and control platform and the soil-environment-electrical information database established above.

[0065] S2.4: Add an adaptive weighted fusion algorithm to the Zigbee router node to ensure the stability and efficiency of communication. The workflow after adding the adaptive weighted fusion algorithm is as follows: The sensor continuously measures multiple times and then calculates the average value. ,variance , and then send these two data to the Zigbee router node. The Zigbee router node calculates the average value of the data sent by the sensor. and variance Calculate weighting coefficients And the optimal measured temperature value after fusion The weighted coefficient and fusion value of the node satisfy the following formula: (1) Where: is the average value of the sensor; Calculate weighting coefficients for variance; is the optimal measurement temperature value.

[0066] (2) Since the sensors are independent of each other, the data measured by the sensors will not affect each other, and the data obtained are unbiased estimates of the true values, so the total mean square error is : (3) In the formula, is the total mean square error, It is the variance calculated after the sensor measures multiple times continuously.

[0067] Assuming it is known, the total mean square error is It is about the weighting coefficient is a quadratic function of is positive, so the total mean square error must have a minimum value. According to the extreme value theory of multivariate functions, when the total mean square error When the minimum, the corresponding weighting coefficient for: (4) Will Substitute it back into formula (1) to find the fusion value of the data The fusion value obtained in this way can give full play to the advantages of multiple sensor terminal nodes and avoid the interference of environmental factors on the measurement data. The fused measurement value is uploaded to the Zigbee coordinator.

[0068] like Figure 3 As shown in the figure, the simulation results in the picture show the deviation between the sensor average value and the actual temperature. By introducing the adaptive weighted fusion algorithm through the ZigBee routing node module, the optimal measured temperature value closer to the actual temperature can be obtained. This is because the algorithm takes into account the measurement error of each sensor and assigns a suitable weighting coefficient to each sensor, making the final fused data more accurate.

[0069] In such Figure 2 In the Zigbee network shown, some sensors may provide inaccurate data due to environmental factors, aging or failure. The adaptive weighted fusion algorithm can automatically adjust the weight of each sensor to reduce the impact of these inaccurate sensors on the overall measurement results, thereby enhancing the robustness and reliability of the integrated energy system of the eco-park.

[0070] In a Zigbee network, communication resources are limited. By performing adaptive weighted fusion processing of data at the router node, the amount of data transmitted to the coordinator can be reduced, because only the optimal measurement value after fusion needs to be transmitted, rather than the original data of each sensor. This helps optimize network bandwidth and energy usage, and improves the efficiency of the overall system.

[0071] In an ecological park, there are usually multiple sensors of different types working at the same time to obtain more comprehensive and accurate data. The adaptive weighted fusion algorithm can well support the data fusion of multiple sensors of different types, and can dynamically adjust the weighting coefficient according to different sensor characteristics and environmental conditions, so that the system can adapt to different application scenarios and environmental changes, and integrate the information of multiple sensors into a more reliable and accurate measurement result through reasonable weight distribution. This flexibility makes the system more reliable and effective in practical applications.

[0072] Application Layer The basic functions of the application layer are as follows: Figure 4 As shown. The Internet of Things management and control platform is built through the B / S architecture to achieve cross-platform compatibility and support browser access on computers and mobile phones. The core function of the application layer is to centrally process the transmission data from the Zigbee coordinator through the database and data processing and analysis framework. The application layer completes the energy data statistics and analysis of the comprehensive energy system of the ecological park by displaying the real-time data, calculation and big data analysis uploaded by the communication transmission layer, combined with the threshold setting of the system, so as to achieve real-time monitoring and alarm of the output data of distributed energy and the operation data of agricultural production equipment. For abnormal data, the system can issue early warnings in time, manage related equipment through the controller, and shut down the distributed energy equipment and agricultural production equipment with operating failures when necessary, thereby reducing the negative impact on the power quality of the distribution network and improving the stability of the power quality of the ecological park.

[0073] The application layer communicates with agricultural equipment through an integrated API interface to achieve remote control functions. Each agricultural device is connected to the platform in a standardized manner through the API interface. The platform can send real-time control instructions to these devices and receive feedback data from the devices. The introduction of the API interface enables the platform to flexibly manage various types of equipment. By connecting to the interfaces of the irrigation system and temperature control equipment, the platform can remotely control natural environmental factors; by connecting to photovoltaic equipment, it can remotely start and stop and control photovoltaic equipment.

[0074] At the same time, the platform uses 3D modeling tools to build a digital twin model of the eco-park to simulate the agricultural land environment inside and outside the greenhouse. The 3D model combines physical simulation with real-time data, which not only facilitates the visual management of the eco-park's operating status, but also displays the internal environment of the greenhouse, enhancing the eco-park's visibility and external display effect.

[0075] Ultimately, the functions in the application layer can realize real-time perception and intelligent control of the integrated energy system of the eco-park, optimizing the energy utilization and power quality of the eco-park.

[0076] To sum up, the ecological park Internet of Things management and control platform for environmental perception and control adopts a one-platform multi-module digital automatic control system, which realizes the remote intelligent monitoring and allocation functions of the ecological park comprehensive energy system equipment, realizes the efficient utilization of energy and economic scheduling within the ecological park comprehensive energy system, reduces pollution emissions, and maximizes the maintenance of the ecological park comprehensive energy system with less or no maintenance, which helps the development of modern agriculture.

[0077] The second purpose of the present invention is to provide an Internet of Things management and control system for an integrated energy system of an ecological park, such as Figure 5 As shown, including: S101: Collect the power consumption data and environmental factor data of the equipment in the ecological park, perform noise filtering and time synchronization processing on the data, and obtain pre-processed power consumption data and pre-processed environmental factor data; Specifically, the information in the ecological park is collected through multi-dimensional sensors and multiple channels to obtain the electricity consumption data and environmental factor data in the ecological park.

[0078] The collected electricity consumption data and environmental factor data of the ecological park are preprocessed to ensure the quality and accuracy of the data. The data is noise filtered and the noise caused by sensor errors or environmental interference is eliminated using filtering technology to ensure the smoothness of the collected data. The noise reduction processed electricity consumption data and preprocessed environmental factor data of the ecological park are obtained.

[0079] The noise reduction power consumption data and pre-processed environmental factor data of the ecological park are synchronized and the time format is unified, so that the power consumption data and environmental factor data of different devices can be compared and analyzed collaboratively to ensure the consistency and comparability of the data. The pre-processed power consumption data and pre-processed environmental factor data of the ecological park are obtained.

[0080] S201: transmitting the pre-processed electricity consumption data and pre-processed environmental factor data to the soil-environment-electrical information database; Specifically, the pre-processed electricity consumption data and the pre-processed environmental factor data are transmitted to the soil-environment-electrical information database; The electrical information database uses the composite primary key of the timestamp TIMESTAME and the equipment number ID to establish a clustered index for the data in the electrical information database, ensuring that the physical storage order of the data is consistent with the timestamp order, which facilitates information search and storage. Partitioning is performed based on the principle that the amount of data in each partition is roughly the same, that is, the data within a time period is divided into 1 partition, and the time interval can be dynamically adjusted according to the system operation status.

[0081] The soil-environment-electrical information database also includes user information, agricultural product inventory, human resource data, crop information, real-time monitoring data under the operating environment of the integrated energy system of the ecological park, and historical data.

[0082] S301: Analyze the information in the electrical information database, and control and adjust the integrated energy system of the ecological park based on the analysis results.

[0083] Specifically, the information in the electrical information database is analyzed, and according to the threshold setting of the integrated energy system of the ecological park, the energy data statistics and analysis of the integrated energy system of the ecological park are completed to obtain the statistical and analysis results; If abnormal data appears in the statistical and analytical results, the ecological park integrated energy system can issue a timely warning, manage related equipment through the controller, and shut down the faulty distributed energy equipment and agricultural production equipment when necessary, thereby reducing the negative impact on the power quality of the distribution network, and achieving real-time monitoring and alarm of the output data of distributed energy and the operating data of agricultural production equipment in the ecological park. Improve the park management efficiency and the stability of power quality, and ensure that the park operates in a safe, stable and efficient state.

[0084] The third object of the present invention is to provide an Internet of Things management and control system for an integrated energy system of an ecological park, such as Figure 6 As shown, including: Data collection module 102: used to collect the power consumption data and environmental factor data of the equipment in the ecological park, perform noise filtering and time synchronization processing on the data, and obtain pre-processed power consumption data and pre-processed environmental factor data; Data transmission module 202: used to transmit the pre-processed electricity consumption data and pre-processed environmental factor data to the soil-environment-electrical information database; The control and adjustment module 302 is used to analyze the information in the electrical information database and to control and adjust the integrated energy system of the ecological park according to the analysis results.

[0085] like Figure 7 As shown, the fourth object of the present invention is to provide an electronic device, the electronic device comprising: a processor 501, a memory 502 and a display screen 503. Among them, the memory 502 and the display screen 503 are connected to the processor 501, such as through a bus 504. Optionally, the electronic device may also include a transceiver 505. It should be noted that in actual applications, the transceiver 505 is not limited to one, and the structure of the electronic device does not constitute a limitation on the embodiments of the present application.

[0086] Processor 501 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 501 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0087] The bus 504 may include a path to transmit information between the above components. The bus 504 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 504 may be divided into an address bus, a data bus, a control bus, etc.

[0088] The memory 502 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0089] The memory 502 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the application code stored in the memory 502 to implement the contents shown in the above method embodiment.

[0090] Figure 7 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0091] A fifth object of the present invention is to provide a computer-readable storage medium storing a computer program, wherein the computer-readable storage medium stores a computer program, and when the program is executed by a processor, the computer program implements the various processes of the method embodiment shown above. For example, a memory including instructions, and the instructions can be executed by a processor of an electronic device to complete the method.

[0092] A computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. A computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, a computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a lectern random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.

[0093] The sixth object of the present invention is to provide a computer program product, including computer instructions, which, when executed by a processor, implement the various processes of the method embodiment shown above and can achieve the same technical effect. To avoid repetition, they will not be described here.

[0094] Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of the present teachings should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of comprehensiveness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the preceding claims is not intended to be a disclaimer of such subject matter, nor should it be considered that the applicants did not consider such subject matter to be part of the disclosed inventive subject matter.

[0095] The above content is a further detailed description of the present invention. It cannot be determined that the specific implementation methods of the present invention are limited to these. For ordinary technicians in the technical field to which the present invention belongs, without departing from the concept of the present invention, they can also make several simple deductions or substitutions, which should be regarded as belonging to the protection scope of the present invention determined by the submitted claims.

Claims

1. An Internet of Things management and control platform for an integrated energy system in an ecological park, characterized in that: Including the Internet of Things layer and application layer: The Internet of Things layer includes a communication transport layer and a device sensing layer; The communication transmission layer is used to obtain the equipment power consumption data and environmental factor data in the ecological park collected by the equipment sensor layer, and pre-process the obtained pre-processed equipment power consumption data and environmental factor data; Input the electricity consumption data and environmental factor data of the pretreatment equipment into the soil-environment-electrical information database; The application layer is used to analyze the data in the soil-environment-electrical information database, and to control and adjust the integrated energy system of the ecological park according to the analysis results.

2. According to claim 1, an Internet of Things management and control platform for an integrated energy system of an ecological park is characterized in that: The equipment power consumption data and environmental factor data in the ecological park collected by the equipment sensor layer include: The equipment power consumption data in the ecological park collected by the equipment sensing layer is the power consumption of monitoring equipment, agricultural equipment, photovoltaic and energy storage devices collected by the equipment sensing layer in real time or at a scheduled time through sensors; The environmental factor data in the ecological park collected by the device sensing layer is the moisture content, temperature, EC value of the soil, and the light intensity and duration of light in the ecological park collected by the device sensing layer through sensors in real time or at a scheduled manner.

3. The Internet of Things management and control platform for an integrated energy system of an ecological park according to claim 1 is characterized in that: The communication transmission layer is provided with a ZigBee terminal monitoring module, a ZigBee routing node module and a ZigBee coordinator + GPRS gateway module; The ZigBee terminal monitoring module is used to obtain the power consumption data and environmental factor data of the equipment in the ecological park of the sensor collection layer, and perform noise filtering and time synchronization processing on the data to obtain pre-processed power consumption data and pre-processed environmental factor data; The ZigBee routing node module transmits the pre-processed electricity consumption data and the pre-processed environmental factor data to the soil-environment-electrical information database; The ZigBee coordinator+GPRS gateway module reads the information in the electrical information database and transmits the information in the electrical information database to the application layer.

4. The Internet of Things management and control platform for an integrated energy system of an ecological park according to claim 3 is characterized in that: The ZigBee terminal monitoring module is used to obtain the power consumption data and environmental factor data of the equipment in the ecological park of the sensor collection layer, and perform noise filtering and time synchronization processing on the data to obtain pre-processed power consumption data and pre-processed environmental factor data, including: Several sensors are installed in the eco-park to collect power consumption data and environmental factor data of electrical equipment in the eco-park; The ZigBee terminal monitoring module collects data on the power consumption and environmental factors of the electrical equipment in the ecological park through sensors; The ZigBee terminal monitoring module collects the equipment power consumption data and environmental factor data of the electrical equipment in the ecological park, performs noise filtering, and obtains the noise reduction processed power consumption data and pre-processed environmental factor data of the ecological park; The ZigBee terminal monitoring module performs time synchronization processing on the noise reduction power consumption data and pre-processed environmental factor data of the ecological park to obtain the pre-processed power consumption data and pre-processed environmental factor data of the ecological park; The ZigBee terminal monitoring module sends the pre-processed electricity consumption data and pre-processed environmental factor data of the ecological park to the ZigBee routing node module.

5. The Internet of Things management and control platform for an integrated energy system of an ecological park according to claim 3 is characterized in that: The ZigBee routing node module transmits the pre-processed power consumption data and the pre-processed environmental factor data to the soil-environment-electrical information database, including: The ZigBee routing node module receives the pre-processed power consumption data and pre-processed environmental factor data of the ecological park sent by the ZigBee terminal monitoring module; The ZigBee routing node module performs weighted fusion processing on the pre-processed electricity consumption data and pre-processed environmental factor data of the ecological park to obtain the fused electricity consumption data and environmental factor data; The ZigBee routing node module transmits the fused power consumption data and environmental factor data to the ZigBee coordinator; The Zigbee coordinator is input into the soil-environment-electrical information database.

6. The Internet of Things management and control platform for an integrated energy system of an ecological park according to claim 5, characterized in that: The ZigBee routing node module performs weighted fusion processing on the pre-processed power consumption data and pre-processed environmental factor data of the ecological park to obtain fused power consumption data and environmental factor data, including: The ZigBee routing node module uses the pre-processed power consumption data of the ecological park and the average value of the pre-processed environmental factor data transmitted by the sensor and variance Calculate weighting coefficients And the optimal measured temperature value after fusion ; Weighting coefficient And the optimal measured temperature value after fusion satisfy: Total mean square error In the formula, It is the variance calculated after the sensor measures multiple times continuously; When the total mean square error When the minimum, the corresponding weighting coefficient ; Will Bring back Find the fusion value of the data ; Upload the fused measurements to the Zigbee coordinator.

7. The Internet of Things management and control platform for an integrated energy system of an ecological park according to claim 1, characterized in that: The soil-environment-electrical information database includes: The soil-environment-electrical information database is a Web-based configurable soil-environment-electrical information database built through a B / S architecture; The soil-environment-electrical information database introduces a composite primary key of a timestamp TIMESTAME and an equipment number ID, and establishes a clustered index of the database, so that the physical storage order of the data is consistent with the timestamp order.

8. The Internet of Things management and control platform for an integrated energy system of an ecological park according to claim 1, characterized in that: The application layer is used to analyze the data in the soil-environment-electrical information database and to control and adjust the integrated energy system of the ecological park according to the analysis results, including: The application layer includes the IoT management and control platform; The Internet of Things management and control platform receives data from the soil-environment-electrical information database in the communication transmission layer; Collect and analyze the data in the soil-environment-electrical information database, and complete the energy data statistics and analysis of the ecological park comprehensive energy system according to the thresholds set by the ecological park comprehensive energy system; Based on the energy data statistics and analysis results of the ecological park’s comprehensive energy system, the ecological park’s comprehensive energy system is managed and adjusted.

9. The Internet of Things management and control platform for an integrated energy system of an ecological park according to claim 1, characterized in that: The application layer communicates with several types of equipment in the ecological park integrated energy system through an API interface, and is used to remotely control several types of equipment in the ecological park integrated energy system.

10. An Internet of Things management and control method for an integrated energy system in an ecological park, characterized in that: An Internet of Things management and control platform for an integrated energy system of an ecological park according to any one of claims 1 to 9, comprising: Obtaining the equipment power consumption data and environmental factor data in the ecological park collected by the equipment sensor layer, and preprocessing them to obtain the preprocessed equipment power consumption data and environmental factor data; Input the electricity consumption data and environmental factor data of the pretreatment equipment into the soil-environment-electrical information database; Analyze the data in the soil-environment-electrical information database, and manage and adjust the integrated energy system of the ecological park based on the analysis results.

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