Cooperative smart park public service platform system and method

Abstract

The invention discloses a cooperative smart park public service platform system and method, and relates to the technical field of smart park public services. The cooperative smart park public service method comprises the steps of obtaining indoor historical environment data and indoor current environment data of a park, performing comprehensive analysis to obtain an indoor current environment evaluation index of the park, and judging whether the indoor current environment evaluation index is within a preset evaluation threshold range or not; if the current indoor environment evaluation index of the park is out of the preset evaluation threshold range, abnormal environment parameters are recognized, and corresponding regulation and control measures are taken. According to the invention, the indoor environment of the park is allowed to be accurately monitored and managed in real time by integrating the historical indoor environment data and the current indoor environment data; the environment evaluation parameter set based on historical data is used, so that the environment regulation and control are timely in response and more accurate, the environment quality is effectively improved, and the living and working space is always kept in the optimal state.

Description

Technical Field

[0001] The present invention relates to the field of smart park public service technology, and specifically to a collaborative smart park public service platform system and method. Background Art

[0002] With the acceleration of urbanization, smart campuses, as an integral part of modern urban development, are increasingly being used to improve the efficiency, safety, and comfort of living and working environments. Relying on advanced information technology and network technologies, smart campuses optimize resource allocation and intelligent environmental management, thereby improving energy efficiency and residents' quality of life. However, while existing technologies have achieved a certain degree of automation and intelligence in campus management, some significant limitations and challenges remain. For example, campus management often relies on traditional sensors and control algorithms. While these systems can respond to environmental changes, they often cannot accurately predict and process subtle variations in environmental parameters, resulting in inefficient energy use and a failure to maximize resident comfort.

[0003] Based on the above solution, it is found that the limitations of existing technologies include at least the following problems. First, traditional systems often only adjust environmental parameters based on preset fixed thresholds. This method is difficult to respond to sudden environmental changes in a timely manner, making it difficult to adapt to users' actual needs in real time. Second, existing systems often fail to fully utilize historical environmental data to predict future changes or adjust current settings, which limits the system's predictive ability and the accuracy of regulation. In addition, environmental regulation is often based on simple models and fails to comprehensively consider the mutual influence of various environmental parameters, which can easily lead to energy waste and poor results of regulation measures. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a collaborative smart park public service platform system and method, which solves the problem that traditional systems often only adjust environmental parameters according to preset fixed thresholds. This method is difficult to respond to sudden environmental changes in a timely manner, which makes it difficult to adapt to the actual needs of users in real time. Secondly, existing systems often fail to fully utilize historical environmental data to predict future changes or adjust current settings, which limits the system's predictive ability and the accuracy of regulation. In addition, environmental regulation is often based on simple models and fails to comprehensively consider the mutual influence of various environmental parameters, which easily leads to energy waste and poor effectiveness of regulation measures.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a collaborative smart park public service method, comprising the following steps: obtaining the park's indoor historical environmental data and indoor current environmental data, the indoor historical environmental data including indoor historical temperature data, indoor historical humidity data, and indoor historical carbon dioxide concentration data, and the indoor current environmental data including indoor current temperature value, indoor current humidity value, and indoor current carbon dioxide concentration value; performing a comprehensive analysis on the park's indoor historical environmental data to obtain the park's indoor environmental evaluation parameter set; performing a comprehensive analysis on the park's indoor current environmental data in combination with the indoor environmental evaluation parameter set to obtain the park's indoor current environmental evaluation index, and determining whether it is within a preset evaluation threshold range; if the park's indoor current environmental evaluation index is outside the preset evaluation threshold range, identifying abnormal environmental parameters and taking corresponding control measures.

[0006] Furthermore, the indoor historical temperature data is specifically the indoor historical temperature value at the current time point of each historical year, the indoor historical humidity data is specifically the indoor historical humidity value at the current time point of each historical year, the indoor historical carbon dioxide concentration data is specifically the indoor historical carbon dioxide concentration value at the current time point of each historical year, and the indoor environment assessment parameter set includes an indoor temperature reference value, an indoor humidity reference value, and an indoor carbon dioxide concentration reference value.

[0007] Furthermore, the specific steps for obtaining the indoor environment assessment parameter set of the park are as follows: read the historical indoor temperature value, indoor humidity value, and indoor carbon dioxide concentration value of the park at the current time point each year, and perform preprocessing; perform mean analysis on the preprocessed historical indoor temperature value, indoor humidity value, and indoor carbon dioxide concentration value of the park at the current time point each year by combining the mean method, weighted average method, and moving exponential average method, respectively, to obtain the indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value of the park.

[0008] Furthermore, the specific formulas for calculating the indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value of the park are as follows: Among them, SnW is the indoor temperature reference value of the park, LsW i is the historical indoor temperature value of the park at the current time point in the i-th year, SnS is the indoor humidity reference value of the park, LsS i is the historical indoor humidity value of the park at the current time point in the i-th year, Q i is the weighted coefficient of the indoor historical humidity value at the current time point in the history of the park in the i-th year, SnE is the reference value of the indoor carbon dioxide concentration in the park, LsE iis the historical indoor carbon dioxide concentration value at the current time point in the history of the park in the i-th year, α i1 LsE is the weight coefficient of the indoor historical carbon dioxide concentration value at the current time point in the history of the park in the i-th year, i+1 is the historical indoor carbon dioxide concentration value at the current time point in the park's history in year i+1, α i2 is the weight coefficient of the indoor historical carbon dioxide concentration value at the current time point in the park’s history in year i+1, α i1 +α i2 =1, i=1,2,3,…,i0, i0 is the number of historical years obtained.

[0009] Furthermore, the specific steps for obtaining the indoor current environment evaluation index of the park are as follows: reading the park's indoor current temperature value, indoor current humidity value, and indoor current carbon dioxide concentration value, and performing comprehensive analysis in combination with the park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value, respectively, to obtain the park's indoor current environment evaluation index, which is calculated using the following formula:

[0010]

[0011] Among them, HjP is the indoor current environment assessment index of the park, SnW is the indoor temperature reference value of the park, Dw is the indoor current temperature value of the park, ξ1 is the temperature coefficient stored in the database, SnS is the indoor humidity reference value of the park, Ds is the indoor current humidity value of the park, ξ2 is the temperature coefficient stored in the database, SnE is the indoor carbon dioxide concentration reference value of the park, Dy is the indoor current carbon dioxide concentration value of the zone, ξ3 is the temperature coefficient stored in the database, ξ1+ξ2+ξ3=1.

[0012] Furthermore, if the current indoor environment assessment index of the park is outside the preset assessment threshold range, the abnormal environmental parameters are identified, and the specific measures for taking corresponding control measures are as follows: if the current indoor environment assessment index of the park is outside the preset assessment threshold range, the current indoor temperature value, the current indoor humidity value, and the current indoor carbon dioxide concentration value of the park are respectively subjected to difference analysis with the indoor temperature reference value, the indoor humidity reference value, and the indoor carbon dioxide concentration reference value of the park to obtain the current indoor temperature difference value, the current indoor humidity difference value, and the current indoor carbon dioxide concentration difference value of the park; it is determined whether the current indoor temperature difference value, the current indoor humidity difference value, and the current indoor carbon dioxide concentration difference value of the park are respectively within the preset temperature difference threshold range, the humidity difference threshold range, and the carbon dioxide concentration difference threshold range; if the current indoor temperature difference value of the park is outside the preset temperature difference threshold range, temperature control measures are taken; if the current indoor humidity difference value of the park is outside the preset humidity difference threshold range, humidity control measures are taken; if the current indoor carbon dioxide concentration difference value of the park is outside the preset carbon dioxide concentration difference threshold range, carbon dioxide concentration control measures are taken.

[0013] Furthermore, if the current indoor temperature difference of the park is outside the preset temperature difference threshold range, the specific steps for taking temperature control measures are as follows: obtain the control data of each temperature control device in the park, and analyze the control efficiency index of each temperature control device in combination with the current indoor temperature difference of the park; compare and analyze the control efficiency index of each temperature control device, and select the temperature control device with the highest control efficiency index to control the current indoor temperature of the park until the current indoor temperature difference of the park is within the preset temperature difference threshold range.

[0014] Furthermore, the control data specifically includes the equipment energy efficiency ratio, the equipment unit energy consumption cost, and the reference operating temperature difference. The specific steps for analyzing the control benefit index of each temperature control device are as follows: the current indoor temperature difference of the park is combined with the reference operating temperature difference of each temperature control device in the park for comprehensive analysis to obtain the temperature difference benefit score of each temperature control device in the park; the equipment energy efficiency ratio and the equipment unit energy consumption cost of each temperature control device in the park are combined with the temperature difference benefit score for comprehensive analysis to obtain the control benefit index of each temperature control device.

[0015] Furthermore, the specific formula for calculating the temperature difference benefit score and the control benefit index of each temperature control equipment is as follows: Among them, WcX t is the temperature difference benefit score of the t-th temperature control equipment in the park, SwC is the current indoor temperature difference of the park, CkW tis the reference operating temperature difference of the t-th temperature control equipment in the park, σ t is the adjustment coefficient of the t-th temperature control equipment in the park, TkX t NxB is the control efficiency index of the t-th temperature control equipment in the park, t is the energy efficiency ratio of the tth temperature control equipment in the park, DwC t is the unit energy consumption cost value of the t-th temperature control equipment in the park, t = 1, 2, 3, ..., t0, t0 is the number of temperature control equipment in the park.

[0016] A collaborative smart park public service platform system includes: a data acquisition module, a parameter analysis module, an environmental assessment module, and a control module; the data acquisition module is used to obtain the park's indoor historical environmental data and indoor current environmental data, the indoor historical environmental data including indoor historical temperature data, indoor historical humidity data, and indoor historical carbon dioxide concentration data, and the indoor current environmental data including indoor current temperature value, indoor current humidity value, and indoor current carbon dioxide concentration value; the parameter analysis module is used to perform a comprehensive analysis on the park's indoor historical environmental data to obtain the park's indoor environmental assessment parameter set; the environmental assessment module is used to perform a comprehensive analysis on the park's indoor current environmental data in combination with the indoor environmental assessment parameter set to obtain the park's indoor current environmental assessment index; the control module is used to determine whether the park's indoor current environmental assessment index is within a preset assessment threshold range. If the park's indoor current environmental assessment index is outside the preset assessment threshold range, abnormal environmental parameters are identified and corresponding control measures are taken.

[0017] The present invention has the following beneficial effects:

[0018] (1) This collaborative smart park public service method allows for accurate real-time monitoring and management of the park's indoor environment by integrating historical and current indoor environmental data. Using a set of environmental assessment parameters based on historical data, environmental control is not only timely but also more accurate, thereby effectively improving environmental quality and ensuring that living and working spaces are always kept in optimal conditions.

[0019] (2) This collaborative smart park public service method makes energy utilization more efficient by automatically identifying and regulating abnormal environmental parameters, preventing energy waste caused by delayed or inaccurate manual regulation. By intelligently selecting the equipment with the highest regulation efficiency for intervention, it further optimizes energy consumption, reduces operating costs, and extends the service life of equipment.

[0020] (3) This collaborative smart park public service method can dynamically adjust environmental settings to adapt to changing indoor and outdoor conditions, improving the system's adaptability to environmental changes. In addition, by keeping indoor environmental parameters within the optimal range, it greatly improves user comfort and satisfaction. This intelligent and automated environmental management method not only improves the quality of living and working environments, but also helps promote health and increase productivity.

[0021] (4) The collaborative smart park public service platform system has significantly improved the automation and intelligence level of environmental management through the organic integration and collaboration of its component modules. The data acquisition module monitors and collects indoor environmental data in real time to ensure that the system has sufficient information to make decisions. The efficient computing power of the parameter analysis module and the environmental assessment module enables the system to quickly analyze data and evaluate the environmental status, while the control module automatically performs necessary adjustments without human intervention. This automated process not only reduces the burden on human resources, but also improves response speed and operation accuracy, allowing the park to adapt to environmental changes in the shortest time and ensure the comfort and health of residents and users. In addition, the intelligent design of the system also means that it can learn from historical data and gradually optimize its prediction and control strategies through machine learning and data analysis technology, thereby achieving long-term performance improvement.

[0022] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a collaborative smart park public service method of the present invention.

[0024] Figure 2 This is a flowchart of the specific steps for obtaining a set of indoor environment assessment parameters for a park in a collaborative smart park public service method of the present invention.

[0025] Figure 3 This is a system block diagram of a collaborative smart park public service platform of the present invention. DETAILED DESCRIPTION

[0026] The embodiments of the present application solve the problem that traditional systems often only adjust environmental parameters based on preset fixed thresholds through a collaborative smart park public service platform system and method. This method is difficult to respond to sudden environmental changes in a timely manner, which makes it difficult to adapt to the actual needs of users in real time. Secondly, existing systems often fail to fully utilize historical environmental data to predict future changes or adjust current settings, which limits the system's predictive ability and the accuracy of regulation. In addition, environmental regulation is often based on simple models and fails to comprehensively consider the mutual influence of various environmental parameters, which can easily lead to energy waste and poor effectiveness of regulation measures.

[0027] The overall approach to the problems in the embodiments of this application is as follows:

[0028] First, the system collects the park's indoor historical environmental data (temperature, humidity, carbon dioxide concentration) and current indoor environmental data. These data provide the system with a basis for accurate analysis and evaluation. Using historical data, the system calculates a set of indoor environmental evaluation parameters through statistical methods (such as the mean method, weighted average method, and moving exponential average method). Then, the system conducts an environmental assessment of the park in combination with the current environmental data to generate an environmental assessment index. The system compares the assessment results with the preset threshold to determine whether environmental regulation is needed. If the environmental assessment index shows that the current environment exceeds the preset threshold, the system identifies and analyzes abnormal environmental parameters, compares the control efficiency indexes of different temperature control devices, and selects the optimal device for real-time regulation until the environmental parameters return to the ideal state.

[0029] See also Figure 1 , an embodiment of the present invention provides a technical solution: a collaborative smart park public service method, comprising the following steps: obtaining the park's indoor historical environment data and indoor current environment data, the indoor historical environment data including indoor historical temperature data, indoor historical humidity data, and indoor historical carbon dioxide concentration data, and the indoor current environment data including indoor current temperature value, indoor current humidity value, and indoor current carbon dioxide concentration value; performing a comprehensive analysis on the park's indoor historical environment data to obtain the park's indoor environment evaluation parameter set; performing a comprehensive analysis on the park's indoor current environment data in combination with the indoor environment evaluation parameter set to obtain the park's indoor current environment evaluation index, and judging whether it is within a preset evaluation threshold range; if the park's indoor current environment evaluation index is outside the preset evaluation threshold range, identifying abnormal environmental parameters and taking corresponding control measures.

[0030] The indoor historical temperature data is specifically the indoor historical temperature value at the current time point of each historical year, the indoor historical humidity data is specifically the indoor historical humidity value at the current time point of each historical year, and the indoor historical carbon dioxide concentration data is specifically the indoor historical carbon dioxide concentration value at the current time point of each historical year. The indoor environment assessment parameter set includes indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value.

[0031] The temperature value is obtained by measuring with a temperature sensor, the humidity value is obtained by measuring with a humidity sensor, and the carbon dioxide concentration value is obtained by measuring with a carbon dioxide concentration sensor.

[0032] Specifically, if Figure 2As shown, the specific steps for obtaining the indoor environment assessment parameter set of the park are as follows: read the historical indoor temperature value, indoor humidity value, and indoor carbon dioxide concentration value of the park at the current time point each year, and preprocess them; perform mean analysis on the preprocessed historical indoor temperature value, indoor humidity value, and indoor carbon dioxide concentration value of the park at the current time point each year by combining the mean method, weighted average method, and moving exponential average method, respectively, to obtain the indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value of the park.

[0033] The specific formulas for calculating the park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value are as follows: Among them, SnW is the indoor temperature reference value of the park, LsW i is the historical indoor temperature value of the park at the current time point in the i-th year, SnS is the indoor humidity reference value of the park, LsS i is the historical indoor humidity value of the park at the current time point in the i-th year, Q i is the weighted coefficient of the indoor historical humidity value at the current time point in the history of the park in the i-th year, SnE is the reference value of the indoor carbon dioxide concentration in the park, LsE i is the historical indoor carbon dioxide concentration value at the current time point in the history of the park in the i-th year, α i1 LsE is the weight coefficient of the indoor historical carbon dioxide concentration value at the current time point in the history of the park in the i-th year, i+1 is the historical indoor carbon dioxide concentration value at the current time point in the park's history in year i+1, α i2 is the weight coefficient of the indoor historical carbon dioxide concentration value at the current time point in the park’s history in year i+1, α i1 +α i2 =1, i=1,2,3,…,i0, i0 is the number of historical years obtained.

[0034] What needs to be explained is that Q i The specific calculation process is: sum up and analyze the historical indoor humidity values ​​at the current time point of each year in history to obtain the indoor historical humidity sum value, and then perform a ratio analysis on the indoor historical humidity value at the current time point of the park in the i-th year in history and the indoor historical humidity sum value, and the ratio result is the weighting coefficient.

[0035] α i1 and α i2The specific calculation process is as follows: sum up and analyze the historical indoor carbon dioxide concentration values ​​of the park in the i-th and i+1-year history at the current time point to obtain the sum of the historical indoor carbon dioxide concentrations of the park in the i-th year at the current time point, and then perform ratio analysis on the historical indoor carbon dioxide concentration values ​​of the park in the i-th and i+1-year history at the current time point with the sum of the historical indoor carbon dioxide concentrations, and the ratio result is the corresponding weight coefficient.

[0036] In this implementation, through comprehensive analysis of historical data, particularly through the weighted average method and moving exponential average method, trends and fluctuations in environmental data over time series can be better captured. This method not only reflects a simple historical average but also takes into account the weights of data at different time points, making the evaluation parameters more representative and timely, and more accurately predicting and responding to environmental changes. By deeply analyzing historical environmental data and setting appropriate weight coefficients, the system can foresee possible future environmental changes based on historical trends and adjust environmental control strategies in advance. This not only reduces the response time to extreme environmental conditions but also improves the system's adaptability to seasonal and sudden environmental changes. With accurately calculated environmental reference values, the system can deploy environmental control measures more targetedly and avoid unnecessary energy waste. For example, by accurately assessing indoor humidity and carbon dioxide concentrations, the control system can activate humidifiers or air purification equipment only when necessary, thereby optimizing energy consumption and reducing operating costs. The set of environmental assessment parameters generated using historical and current data allows the system to be personalized according to the needs and characteristics of specific parks. This flexibility enables the system to not only serve a wide range of user groups but also be optimized according to the specific needs of each park, improving user satisfaction and the practical value of the system.

[0037] Specifically, the specific steps for obtaining the indoor current environment evaluation index of the park are as follows: read the park's indoor current temperature value, indoor current humidity value, and indoor current carbon dioxide concentration value, and perform comprehensive analysis in combination with the park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value to obtain the park's indoor current environment evaluation index. The calculation formula is as follows:

[0038]

[0039] Among them, HjP is the indoor current environment assessment index of the park, SnW is the indoor temperature reference value of the park, Dw is the indoor current temperature value of the park, ξ1 is the temperature coefficient stored in the database, SnS is the indoor humidity reference value of the park, Ds is the indoor current humidity value of the park, ξ2 is the temperature coefficient stored in the database, SnE is the indoor carbon dioxide concentration reference value of the park, Dy is the indoor current carbon dioxide concentration value of the zone, ξ3 is the temperature coefficient stored in the database, ξ1+ξ2+ξ3=1.

[0040] It needs to be explained that the specific calculation process of ξ1, ξ2, and ξ3 is: standardize the park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value (that is, remove the unit), and then sum and analyze the standardized park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value to obtain the indoor environment sum value, and then perform ratio analysis on the standardized park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value with the indoor environment sum value, and the ratio result is the corresponding coefficient.

[0041] In this implementation scheme, standardization is to convert data of different units or magnitudes into unitless relative values. After removing the unit differences, different types of environmental data (such as temperature, humidity and CO2 concentration) can be compared more fairly, so that these different measurement values ​​can be directly compared and weighted. Through standardization, the impact of extreme values ​​or different magnitudes in the original data is reduced, making the results more stable and reliable. By summing the standardized values ​​of all key environmental factors, a comprehensive environmental health index can be obtained, which reflects the overall environmental quality of the park, rather than looking at a single factor in isolation. By performing ratio analysis on each standardized parameter and the total value, a natural The weight of each parameter in the overall environmental impact is determined automatically. This automatically formed weight can effectively reflect the relative importance of each environmental parameter under current conditions. The calculation method of the comprehensive evaluation index allows the system to monitor and evaluate the park environment in real time, and can respond quickly when environmental conditions change. For example, if the CO2 level rises abnormally on a certain day, the system can immediately identify and calculate its impact on the overall environmental assessment index, and then quickly take regulatory measures. By adjusting the weight coefficient of each environmental parameter in real time, the system not only responds to current environmental changes, but also predicts future trends of change, thereby more effectively allocating regulatory resources, such as optimizing energy use in air conditioning and ventilation systems to reduce waste.

[0042] Specifically, if the current indoor environmental evaluation index of the park is outside the preset evaluation threshold range, the abnormal environmental parameters are identified, and the specific measures for taking corresponding control measures are as follows: If the current indoor environmental evaluation index of the park is outside the preset evaluation threshold range, the current indoor temperature value, the current indoor humidity value, and the current indoor carbon dioxide concentration value of the park are respectively subjected to difference analysis with the indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value of the park to obtain the current indoor temperature difference of the park (specifically, the current temperature minus the reference temperature), the current indoor humidity difference (specifically, the current humidity minus the reference humidity), and the current indoor carbon dioxide concentration difference (specifically, the current carbon dioxide concentration minus the reference carbon dioxide concentration); determine whether the current indoor temperature difference, the current indoor humidity difference, and the current indoor carbon dioxide concentration difference of the park are respectively within the preset temperature difference threshold range, the humidity difference threshold range, and the carbon dioxide concentration difference threshold range; if the current indoor temperature difference of the park is within the preset temperature difference threshold range, temperature control measures are taken; if the current indoor humidity difference of the park is outside the preset humidity difference threshold range, humidity control measures are taken (the specific steps are: obtaining the control data of each humidity control device in the park, and analyzing the control benefit index of each humidity control device, the specific calculation logic is consistent with the calculation logic of analyzing the control benefit index of each temperature control device, and the humidity control device with the highest control benefit index is selected to perform humidity control on the current indoor humidity of the park); if the current indoor carbon dioxide concentration difference of the park is outside the preset carbon dioxide concentration difference threshold range, carbon dioxide concentration control measures are taken (the specific steps are: obtaining the control data of each carbon dioxide concentration control device in the park, and analyzing the control benefit index of each carbon dioxide concentration control device, the specific calculation logic is consistent with the calculation logic of analyzing the control benefit index of each temperature control device, and the carbon dioxide concentration control device with the highest control benefit index is selected to perform concentration control on the current indoor carbon dioxide concentration of the park).

[0043] In this embodiment, by real-time monitoring of the difference between indoor environmental parameters and reference values, environmental changes can be discovered and responded to in a timely manner. This difference analysis method allows the system to accurately identify environmental parameters that deviate from the normal range, so that corresponding control measures can be taken quickly. For example, if it is detected that the indoor temperature, humidity or carbon dioxide concentration exceeds the preset threshold, the system will automatically start the corresponding control equipment, such as air conditioning, dehumidifier or ventilation system, to ensure that the environmental parameters quickly return to a comfortable and safe range. By automatically selecting the device with the highest control efficiency index for environmental adjustment, the system not only ensures the effectiveness of the control measures, but also optimizes energy use. This method compares the efficiency of different devices. , select the equipment that can most effectively achieve the control goals and use the most energy economically, thereby reducing energy waste and lowering operating costs. The real-time monitoring and automatic control system ensures that the indoor environment is always maintained in an ideal state, improving the comfort and satisfaction of residents and workers. In particular, the control of carbon dioxide concentration can effectively manage indoor air quality, which is particularly important for preventing indoor air pollution and maintaining a healthy environment. The automated design of the entire system reduces the burden of manual monitoring and control, improves operation and maintenance efficiency, and intelligent data analysis and decision-making processes improve the system's adaptability to environmental changes, enabling it to learn and optimize based on actual data, and continuously improve its performance and response strategies.

[0044] Specifically, if the current indoor temperature difference of the park is outside the preset temperature difference threshold range, the specific steps for taking temperature control measures are as follows: obtain the control data of each temperature control device in the park, and analyze the control efficiency index of each temperature control device in combination with the current indoor temperature difference of the park; compare and analyze the control efficiency index of each temperature control device, and select the temperature control device with the highest control efficiency index to control the current indoor temperature of the park, until the current indoor temperature difference of the park is within the preset temperature difference threshold range.

[0045] In this embodiment, by acquiring the control data of each temperature control device and analyzing its control efficiency index, the method ensures that the temperature control measures taken are not only precise but also highly goal-oriented. By comparing the efficiency indexes of different devices, the system selects the device that can most effectively adjust the indoor temperature back to the ideal state for operation. This precise control reduces unnecessary energy waste and ensures efficient energy utilization. Automatically selecting the device with the highest control efficiency index means that the entire temperature control process is automated and intelligent. This intelligent decision-making process reduces human intervention and the possibility of operational errors, while improving response speed and operational efficiency. The system can quickly make the most appropriate control decisions based on real-time data, enhancing the flexibility and adaptability of environmental management. By continuously monitoring the indoor temperature and adjusting it within a preset difference threshold range, the system can continuously maintain the indoor temperature at an optimal state. This continuous monitoring and dynamic adjustment helps maintain a stable and comfortable indoor environment, enhancing the comfort and satisfaction of residents or users. Selecting the device with the highest control efficiency index not only optimizes energy use but also helps reduce operating costs. By ensuring that the most efficient equipment is used for temperature control, this method avoids the additional costs caused by excessive energy use or the use of inefficient equipment. In the long run, it saves significant energy and financial resources for the park.

[0046] Specifically, the control data include the equipment energy efficiency ratio, the equipment unit energy consumption cost, and the reference working temperature difference. The specific steps for analyzing the control benefit index of each temperature control device are as follows: the current indoor temperature difference of the park is combined with the reference working temperature difference of each temperature control device in the park for comprehensive analysis to obtain the temperature difference benefit score of each temperature control device in the park; the equipment energy efficiency ratio and the equipment unit energy consumption cost of each temperature control device in the park are combined with the temperature difference benefit score for comprehensive analysis to obtain the control benefit index of each temperature control device.

[0047] The specific formula for calculating the temperature difference benefit score and control benefit index of each temperature control equipment is as follows: Among them, WcX t is the temperature difference benefit score of the t-th temperature control equipment in the park, SwC is the current indoor temperature difference of the park, CkW t is the reference operating temperature difference of the t-th temperature control equipment in the park, σ t is the adjustment coefficient of the t-th temperature control equipment in the park, TkX t NxB is the control efficiency index of the t-th temperature control equipment in the park, t is the energy efficiency ratio of the tth temperature control equipment in the park, DwC tis the unit energy consumption cost value of the t-th temperature control equipment in the park, t = 1, 2, 3, ..., t0, t0 is the number of temperature control equipment in the park.

[0048] It's important to explain that the Energy Efficiency Ratio (EER) is a measure of cooling equipment efficiency. It indicates the amount of cooling energy provided per unit of electrical energy consumed (usually expressed in BTU / h). Higher EER values ​​indicate more energy-efficient equipment, lower operating costs, and less environmental impact. EER values ​​are obtained from the manufacturer's instructions, product labels, or technical specifications.

[0049] The unit energy consumption cost value of the equipment refers to the cost per unit of electricity consumed by the equipment during operation. This parameter reflects the economic efficiency of the equipment operation, including the cost of electricity consumption and possible other energy costs (such as gas). The lower the unit energy consumption cost, the lower the cost of the equipment when consuming the same amount of electricity or other energy. The electricity charge per kilowatt-hour is calculated based on the electricity price information provided by the power company where the equipment is located, which is the unit energy consumption cost value of the equipment.

[0050] The specific method of obtaining the reference operating temperature difference value is to collect energy efficiency data of temperature control equipment under different temperature differences, including cooling / heating capacity, energy consumption, etc. These data are usually provided by the equipment manufacturer or can be measured through experiments.

[0051] Analyze the performance data of the temperature control equipment and find the temperature difference at which the energy efficiency ratio (EER) or similar indicators reaches the maximum value. This temperature difference is the optimal operating temperature difference of the temperature control equipment.

[0052] Adjust the optimal operating temperature differential based on the application scenario and common ambient temperature of the temperature control device. For example, if the temperature control device is mainly used in a hot environment, the impact of the ambient temperature on the optimal temperature differential should be considered.

[0053] For example, if an air-conditioning device has the highest energy efficiency ratio when the indoor and outdoor temperature difference is 5°C, if this data point performs best in the energy efficiency test, then this temperature difference can be considered the optimal operating temperature difference.

[0054] The regulation coefficient determines the temperature range within which the performance of the temperature control device begins to significantly decline. The specific method for obtaining it is to collect a large amount of performance data of the temperature control device under different temperature conditions (such as energy efficiency ratio EER, power consumption, output capacity, etc.).

[0055] Use statistical or machine learning methods to curve fit the collected data to find trends in performance over temperature.

[0056] By analyzing the distribution of performance data, the standard deviation of the performance index around the optimal point is calculated, which measures the degree of dispersion of the performance data around its mean value.

[0057] Test temperature control equipment under different temperature differential conditions and record the equipment's performance response.

[0058] Determine the temperature range where performance starts to degrade significantly from optimal to unacceptable.

[0059] Adjust the regulation factor value to match the portion of the temperature range where the performance of the temperature control device begins to significantly degrade (for example, if performance does not vary much within ±3°C, then the regulation factor can be set to 1.5°C).

[0060] The specific example of calculating the control efficiency index of each temperature control device is as follows, with the following data:

[0061] The park has three temperature control devices: A, B, and C. The current indoor temperature difference in the park is 6°C.

[0062] For temperature control device A:

[0063] Equipment energy efficiency ratio: 9.8.

[0064] Unit energy consumption cost of equipment: 0.081 yuan / hour.

[0065] Reference operating temperature difference: 4℃.

[0066] Regulation factor: 2.0 (i.e. the device is less sensitive to temperature differences).

[0067] For temperature control device B:

[0068] Equipment energy efficiency ratio: 10.

[0069] Unit energy consumption cost of equipment: 0.080 yuan / hour.

[0070] Reference operating temperature difference: 7℃.

[0071] Adjustment coefficient: 1.8 (i.e. the device is highly sensitive to temperature differences).

[0072] For temperature control device C:

[0073] Equipment energy efficiency ratio: 9.7.

[0074] Unit energy consumption cost of equipment: 0.079 yuan / hour.

[0075] Reference operating temperature difference: 5℃.

[0076] Regulation factor: 2.2 (i.e. the device is moderately sensitive to temperature differences).

[0077] From the above data we can get:

[0078] Temperature difference benefit score of temperature control equipment A: 1 / (1+((6-4) / 2.0) 2 )=0.5.

[0079] Temperature difference benefit score of temperature control equipment B: 1 / (1+((6-7) / 1.8) 2 )≈0.76.

[0080] Temperature difference benefit score of temperature control device C: 1 / (1+((6-5) / 2.2) 2 )≈0.83.

[0081] The control efficiency index of temperature control equipment A is: (9.8 / 0.081)*0.5≈60.49.

[0082] The control efficiency index of temperature control equipment B is: (10 / 0.080)*0.76≈95.00.

[0083] The control efficiency index of temperature control equipment C is: (9.7 / 0.079)*0.83≈101.91.

[0084] It can be seen that the control efficiency index of temperature control device C is the highest, and temperature control device C is selected to control the current indoor temperature of the park until the current indoor temperature difference of the park is within the preset temperature difference threshold range.

[0085] In this embodiment, by analyzing the energy efficiency ratio and unit energy consumption cost of each temperature control device, and then combining the temperature difference benefit score, the method can select the most efficient device for operation, which not only ensures the lowest energy consumption and cost, but also maintains the environmental quality, thereby reducing energy waste and operating costs while ensuring the effect. The use of the control benefit index allows the system to quickly identify the most appropriate device to respond to indoor temperature changes, ensuring the timeliness and accuracy of temperature control measures. This method is particularly suitable for responding to rapidly changing environmental conditions, such as hot summers or cold winters, and effectively maintaining indoor temperatures within a comfortable range. By selecting the device with the highest control benefit index, This method can maximize its performance and output to achieve optimal temperature control. This method ensures that all equipment can operate at its optimal performance point, extend equipment life, and reduce maintenance requirements and costs. A data-driven approach is used to decide which equipment to use for temperature control. The decision-making process of this method becomes fully automated and objective, which reduces human error, improves operational consistency and reliability, and makes management more efficient and simple. This method continuously monitors the indoor temperature and adjusts it to the ideal state to ensure that the environmental quality is continuously at the optimal level, which not only increases the comfort of residents and users, but also helps to improve the health standards of the overall working and living environment.

[0086] See also Figure 3 , an embodiment of the present invention provides a technical solution: a collaborative smart park public service platform system, including: a data acquisition module, a parameter analysis module, an environmental assessment module, and a control module; the data acquisition module is used to obtain the park's indoor historical environment data and indoor current environment data, the indoor historical environment data includes indoor historical temperature data, indoor historical humidity data, indoor historical carbon dioxide concentration data, and the indoor current environment data includes indoor current temperature value, indoor current humidity value, and indoor current carbon dioxide concentration value; the parameter analysis module is used to perform a comprehensive analysis on the park's indoor historical environment data to obtain the park's indoor environment assessment parameter set; the environmental assessment module is used to perform a comprehensive analysis on the park's indoor current environment data in combination with the indoor environment assessment parameter set to obtain the park's indoor current environment assessment index; the control module is used to determine whether the park's indoor current environment assessment index is within a preset assessment threshold range. If the park's indoor current environment assessment index is outside the preset assessment threshold range, the abnormal environmental parameters are identified and corresponding control measures are taken.

[0087] In summary, this application has at least the following effects:

[0088] By integrating historical and current indoor environmental data, the park's indoor environment can be accurately monitored and managed in real time. Using a set of environmental assessment parameters based on historical data makes environmental control not only timely but also more accurate, thereby effectively improving environmental quality and ensuring that living and working spaces are always kept in optimal condition.

[0089] The ability to automatically identify and regulate abnormal environmental parameters makes energy utilization more efficient, preventing energy waste caused by delayed or inaccurate manual regulation. By intelligently selecting the equipment with the highest regulation efficiency for intervention, energy consumption is further optimized, operating costs are reduced, and the service life of the equipment is extended.

[0090] The ability to dynamically adjust environmental settings to adapt to changing indoor and outdoor conditions improves the system's adaptability to environmental changes. In addition, by keeping indoor environmental parameters within the optimal range, user comfort and satisfaction are greatly improved. This intelligent and automated environmental management method not only improves the quality of living and working environments, but also helps promote health and improve productivity.

[0091] Through the organic integration and collaboration of its component modules, the automation and intelligence level of environmental management has been significantly improved. The data acquisition module monitors and collects indoor environmental data in real time to ensure that the system has sufficient information to make decisions. The efficient computing capabilities of the parameter analysis module and the environmental assessment module enable the system to quickly analyze data and evaluate the environmental status, while the control module automatically performs necessary adjustments without human intervention. This automated process not only reduces the burden on human resources, but also improves response speed and operational accuracy, allowing the park to adapt to environmental changes in the shortest time and ensure the comfort and health of residents and users. In addition, the intelligent design of the system also means that it can learn from historical data and gradually optimize its prediction and control strategies through machine learning and data analysis technology, thereby achieving long-term performance improvement.

[0092] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0093] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A collaborative smart park public service method, characterized in that: The following steps are involved: Acquire the indoor historical environmental data and indoor current environmental data of the park, wherein the indoor historical environmental data includes indoor historical temperature data, indoor historical humidity data, and indoor historical carbon dioxide concentration data, and the indoor current environmental data includes the indoor current temperature value, the indoor current humidity value, and the indoor current carbon dioxide concentration value; Comprehensively analyze the park's indoor historical environmental data to obtain the park's indoor environmental assessment parameter set; Comprehensively analyze the park's indoor current environment data in combination with the indoor environment assessment parameter set to obtain the park's indoor current environment assessment index and determine whether it is within the preset assessment threshold range; If the current indoor environmental assessment index of the park is outside the preset assessment threshold range, the abnormal environmental parameters will be identified and corresponding control measures will be taken.

2. The collaborative smart park public service method according to claim 1, characterized in that: The indoor historical temperature data is specifically the indoor historical temperature value at the current time point of each historical year, the indoor historical humidity data is specifically the indoor historical humidity value at the current time point of each historical year, the indoor historical carbon dioxide concentration data is specifically the indoor historical carbon dioxide concentration value at the current time point of each historical year, and the indoor environment assessment parameter set includes an indoor temperature reference value, an indoor humidity reference value, and an indoor carbon dioxide concentration reference value.

3. The collaborative smart park public service method according to claim 2, characterized in that: The specific steps to obtain the indoor environment assessment parameter set of the park are as follows: Read the historical indoor temperature, humidity, and carbon dioxide concentration values ​​of the park at the current time each year and perform preprocessing. The preprocessed historical indoor temperature values, indoor humidity values, and indoor carbon dioxide concentration values ​​of the park at the current time point each year are respectively analyzed by combining the mean method, weighted average method, and moving exponential average method to obtain the park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value.

4. The collaborative smart park public service method according to claim 3, characterized in that: The specific formulas for calculating the park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value are as follows: Among them, SnW is the indoor temperature reference value of the park, LsW i is the historical indoor temperature value of the park at the current time point in the i-th year, SnS is the indoor humidity reference value of the park, LsS i is the historical indoor humidity value of the park at the current time point in the i-th year, Q i is the weighted coefficient of the indoor historical humidity value at the current time point in the history of the park in the i-th year, SnE is the reference value of the indoor carbon dioxide concentration in the park, LsE i is the historical indoor carbon dioxide concentration value at the current time point in the history of the park in the i-th year, α i1 LsE is the weight coefficient of the indoor historical carbon dioxide concentration value at the current time point in the history of the park in the i-th year, i+1 is the historical indoor carbon dioxide concentration value at the current time point in the park's history in year i+1, α i2 is the weight coefficient of the indoor historical carbon dioxide concentration value at the current time point in the park’s history in year i+1, α i1 +α i2 =1, i=1,2,3,…,i0, i0 is the number of historical years obtained.

5. The collaborative smart park public service method according to claim 2, characterized in that: The specific steps to obtain the indoor current environment assessment index of the park are as follows: The current indoor temperature, humidity, and carbon dioxide concentration values ​​of the park are read, and a comprehensive analysis is performed based on the park's indoor temperature reference value, humidity reference value, and carbon dioxide concentration reference value to obtain the park's indoor current environment assessment index. The calculation formula is as follows: Among them, HjP is the indoor current environment assessment index of the park, SnW is the indoor temperature reference value of the park, Dw is the indoor current temperature value of the park, ξ1 is the temperature coefficient stored in the database, SnS is the indoor humidity reference value of the park, Ds is the indoor current humidity value of the park, ξ2 is the temperature coefficient stored in the database, SnE is the indoor carbon dioxide concentration reference value of the park, Dy is the indoor current carbon dioxide concentration value of the zone, ξ3 is the temperature coefficient stored in the database, ξ1+ξ2+ξ3=1.

6. The collaborative smart park public service method according to claim 2, characterized in that: If the indoor environmental assessment index of the park is outside the preset assessment threshold range, the abnormal environmental parameters will be identified and corresponding control measures will be taken. The specific measures are as follows: If the indoor current environmental assessment index of the park is outside the preset assessment threshold range, the park's indoor current temperature value, indoor current humidity value, and indoor current carbon dioxide concentration value are respectively subjected to difference analysis with the park's indoor temperature reference value, indoor humidity reference value, and indoor carbon dioxide concentration reference value to obtain the park's indoor current temperature difference, indoor current humidity difference, and indoor current carbon dioxide concentration difference; Determine whether the current indoor temperature difference, the current indoor humidity difference, and the current indoor carbon dioxide concentration difference of the park are respectively within the preset temperature difference threshold range, humidity difference threshold range, and carbon dioxide concentration difference threshold range; If the current indoor temperature difference of the park is outside the preset temperature difference threshold range, temperature control measures are taken; If the current indoor humidity difference in the park is outside the preset humidity difference threshold range, humidity control measures are taken; If the current indoor carbon dioxide concentration difference in the park is outside the preset carbon dioxide concentration difference threshold range, carbon dioxide concentration control measures will be taken.

7. The collaborative smart park public service method according to claim 6, characterized in that: If the current indoor temperature difference in the park is outside the preset temperature difference threshold range, the specific steps for taking temperature control measures are as follows: Obtain the control data of each temperature control device in the park, and analyze the control efficiency index of each temperature control device based on the current indoor temperature difference in the park; The control efficiency index of each temperature control device is compared and analyzed, and the temperature control device with the highest control efficiency index is selected to control the current indoor temperature of the park until the current indoor temperature difference of the park is within the preset temperature difference threshold range.

8. The collaborative smart park public service method according to claim 7, characterized in that: The control data specifically includes the equipment energy efficiency ratio, the equipment unit energy consumption cost, and the reference working temperature difference. The specific steps for analyzing the control benefit index of each temperature control equipment are as follows: The current indoor temperature difference of the park is combined with the reference operating temperature difference of each temperature control device in the park for comprehensive analysis to obtain the temperature difference benefit score of each temperature control device in the park; The equipment energy efficiency ratio and unit energy consumption cost of each temperature control equipment in the park are combined with the temperature difference benefit score for comprehensive analysis to obtain the control benefit index of each temperature control equipment.

9. The collaborative smart park public service method according to claim 8, characterized in that: The specific formula for calculating the temperature difference benefit score and control benefit index of each temperature control equipment is as follows: Among them, WcX t is the temperature difference benefit score of the t-th temperature control equipment in the park, SwC is the current indoor temperature difference of the park, CkW t is the reference operating temperature difference of the t-th temperature control equipment in the park, σ t is the adjustment coefficient of the t-th temperature control equipment in the park, TkX t NxB is the control efficiency index of the t-th temperature control equipment in the park, t is the energy efficiency ratio of the tth temperature control equipment in the park, DwC t is the unit energy consumption cost value of the t-th temperature control equipment in the park, t = 1, 2, 3, ..., t0, t0 is the number of temperature control equipment in the park.

10. A collaborative smart park public service platform system, applying the collaborative smart park public service method according to any one of claims 1 to 9, characterized in that: include: Data acquisition module, parameter analysis module, environmental assessment module, and control module; The data acquisition module is used to acquire the indoor historical environment data and the indoor current environment data of the park, wherein the indoor historical environment data includes indoor historical temperature data, indoor historical humidity data, and indoor historical carbon dioxide concentration data, and the indoor current environment data includes the indoor current temperature value, the indoor current humidity value, and the indoor current carbon dioxide concentration value; The parameter analysis module is used to conduct a comprehensive analysis of the park's indoor historical environmental data to obtain a set of indoor environmental assessment parameters for the park; The environmental assessment module is used to perform a comprehensive analysis of the park's indoor current environmental data in combination with the indoor environmental assessment parameter set to obtain the park's indoor current environmental assessment index; The control module is used to determine whether the current indoor environment evaluation index of the park is within the preset evaluation threshold range. If the current indoor environment evaluation index of the park is outside the preset evaluation threshold range, it identifies abnormal environmental parameters and takes corresponding control measures.

Images