Smart park management platform based on Internet of Things

Abstract

The invention discloses a smart park management platform based on the Internet of Things, and relates to the technical field of park management, the smart park management platform comprises a data acquisition system and a control system, the data acquisition system comprises a sensor module and a data analysis module, and the control system comprises an intelligent control module and a safety management module; the sensor module collects environmental data in a park in real time and uploads the collected data to the data analysis module through the Internet of Things. The data analysis module is electrically connected with the sensor module, and the data analysis module analyzes the obtained data and extracts key features. Individualized lamplight and air conditioner setting can be provided for different areas through the intelligent control module, key areas with potential safety hazards can be accurately recognized, targeted enhanced management is carried out, the potential safety hazards are found and processed in time, the accident occurrence probability is reduced, and the working efficiency is improved. And more reliable safety guarantee is provided for personnel and property in the park, and management is rapid and convenient.

Description

Technical Field

[0001] The present invention relates to the technical field of park management, and in particular to a smart park management platform based on the Internet of Things. Background Art

[0002] A smart park refers to a park development model that integrates the new generation of information and communication technologies and has the characteristics of comprehensive perception, ubiquitous interconnection, intelligent integration, and sustainable innovation. With the continuous development of science and technology, the scale and complexity of various parks are increasing. The traditional park management method can no longer meet the needs of efficient and intelligent management. At present, the equipment management of the park is not convenient enough, there are many safety hazards in the park, and it is time-consuming and laborious for people to check them. The air-conditioning temperature has to be adjusted manually. In this regard, we propose a smart park management platform based on the Internet of Things. Summary of the invention

[0003] In order to solve the above technical problems, a smart park management platform based on the Internet of Things is provided. This technical solution solves the above-mentioned problem of inconvenient smart park management.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is: a smart park management platform based on the Internet of Things, including: a data acquisition system and a control system, the data acquisition system includes a sensor module and a data analysis module, and the control system includes an intelligent control module and a security management module;

[0005] The sensor module collects environmental data in the park in real time and uploads the collected data to the data analysis module through the Internet of Things;

[0006] The data analysis module is electrically connected to the sensor module. The data analysis module analyzes the acquired data, extracts key features, learns the patterns of light and air conditioning temperature changes in the smart park and the characteristics of people's activity preference areas, and uploads the preference features to the control system.

[0007] The intelligent control module performs intelligent control and management of the lighting and air conditioning in the park based on the regular data of lighting and air conditioning temperature changes;

[0008] The safety management module identifies safety hazards and risks in the park based on the characteristics of people's activity preference areas, and strengthens the management of safety hazards in the park.

[0009] Preferably, the sensor module includes a sensor unit and a transmission unit, wherein the sensor unit includes a light sensor, a temperature sensor and an infrared sensor, wherein the light sensor is located in the corridor to monitor the lighting conditions in the corridor, the temperature sensor is located in the park office to monitor the temperature changes in the office, and the infrared sensor is located in the smart park to monitor the distribution range of people in the smart park; the transmission unit transmits the data acquired by the sensor module based on the Internet of Things communication technology, transmits it to the data analysis module, and analyzes the acquired data.

[0010] Preferably, the data analysis module pre-processes the data based on the acquired data, analyzes the processed data, and obtains the regular changes therein; the lighting condition analysis collects the light intensity data within a period of time from the light sensor, records the timestamp of the data, and pre-processes the data, including removing outliers and filling missing values, calculating the average light intensity b of each time period in the surrounding area, and calculating the average light intensity c of the entire cycle. The calculation formula is:

[0011]

[0012] Among them, A is the seasonal index of light, b is the average light intensity in each time period, and c is the average light intensity in the entire cycle. The seasonal index can be used to see the changes in the light intensity in the corridor in different time periods, so as to determine the lighting pattern in the corridor; during the day, due to sufficient natural light, the lights in the corridor are turned off or in a low-brightness state. For a period of time in the morning, the lights are turned off and are high-brightness, and it is judged that the current time point is the morning rush hour. At night, as the sky darkens and the natural light weakens, the demand for turning on the lights in the corridor gradually increases. In the evening, when the natural light intensity drops to a certain level, the corridor lights will automatically turn on, and in the early morning, the lights are turned off, and it is obtained that there is no one in the smart park during this time period; the current exploration pattern is uploaded to the control system.

[0013] Preferably, the intelligent control module performs intelligent control and management of the lights in the park based on the regular data of light changes, and intelligently turns the lights on and off at regular time points based on the acquired rules.

[0014] Preferably, the intelligent control module calculates the air conditioning temperature value suitable for human body under the current weather based on the regular data of air conditioning temperature change, and performs intelligent control and management of the air conditioning in the park. The calculation formula is:

[0015] T s =d*T w +E

[0016] Where T sis the air conditioning temperature value suitable for human body under the current weather, d and E are coefficients determined by the temperature changes obtained from history, T w is the outside temperature, where the value of d is between 0.5 and 0.7, and the value of E is between 18 and 22. The historical data obtained by the sensor module includes the actual air-conditioning setting temperature under the outside temperature and the corresponding human comfort evaluation. The above formula is used as a model to fit the data and estimate the model parameters, and a set of parameters is found to minimize the sum of squares of the errors between the actual observed values ​​and the model predicted values, and the values ​​of d and E are determined respectively. Based on the calculated temperature value, the intelligent control module intelligently adjusts the air-conditioning temperature in the office based on the obtained temperature value to preserve the comfort.

[0017] Preferably, the safety management module identifies key areas with potential safety hazards in the park based on the characteristics of people's activity preference areas and predetermines the activity preference weights. The determination formula is:

[0018]

[0019] Among them, Np is the number of people who prefer activities in the area, Nt is the total number of people in the smart park, and APW is the weight. The above formula reflects the location of people's activity preference areas in the smart park.

[0020] Preferably, the risk factor score is determined, and multiple risk factors are considered, including lighting conditions, narrowness of passages, and age of equipment. A score range is set for each risk factor. By evaluating each risk factor existing at each location in the smart park, the risk factor score of each location is obtained. The calculation formula is:

[0021]

[0022] Where n is the number of risk factors present, RFS i is the risk factor score for the ith region.

[0023] Preferably, the safety hazard index of each area in the smart park is calculated based on the risk factor score and weight. The calculation formula is: SHI = APW*RFS, where SHI is the calculated safety hazard index of each other in the smart park. The higher the SHI value, the more it means that the area is a preferred area for people's activities and there are safety hazards.

[0024] Preferably, a safety hazard threshold for people's preferred activity areas is established based on the expert analysis method, the data on personnel flow and peak time periods in the smart park are sorted out, and historical hazard information is collected and acquired for evaluation and analysis. A preliminary safety threshold is calculated, and the preliminary determined safety hazard threshold is applied to the actual people's preferred activity areas for verification. It is observed whether there are safety hazards under this threshold, so as to determine the risk threshold, compare the calculated SHI value with the safety threshold, and when the SHI value is greater than the threshold, conduct a safety inspection of the area.

[0025] Preferably, the hidden dangers in the park should be managed more strictly by regularly inspecting various areas in the park, including production workshops, warehouses, office areas and public facilities. The inspection contents include the operating status of electrical equipment, the aging and damage of wires, the connection status of plugs and sockets, and the completeness of fire-fighting facilities. Check whether the fire extinguishers are within the validity period, whether the fire hydrants can be used normally, and whether the fire passages are unobstructed; the structural safety of the buildings, and check for potential risks of cracks, leakage and looseness.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The present invention can provide personalized lighting and air-conditioning settings for different areas through the intelligent control module, ensure sufficient lighting and suitable temperature in areas where people often move, improve the comfort of personnel, accurately identify key areas with potential safety hazards, carry out targeted enhanced management, timely discover and deal with potential safety hazards, reduce the probability of accidents, provide more reliable safety protection for personnel and property in the park, and manage quickly and conveniently. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the management platform framework of the present invention. DETAILED DESCRIPTION

[0029] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0030] Reference Figure 1 As shown, a smart park management platform based on the Internet of Things includes: a data acquisition system and a control system, the data acquisition system includes a sensor module and a data analysis module, and the control system includes an intelligent control module and a security management module;

[0031] The sensor module collects environmental data in the park in real time and uploads the collected data to the data analysis module through the Internet of Things;

[0032] The data analysis module is electrically connected to the sensor module. The data analysis module analyzes the acquired data, extracts key features, learns the patterns of light and air conditioning temperature changes in the smart park and the characteristics of people's activity preference areas, and uploads the preference features to the control system.

[0033] The intelligent control module performs intelligent control and management of the lighting and air conditioning in the park based on the regular data of lighting and air conditioning temperature changes;

[0034] The safety management module identifies safety hazards and risks in the park based on the characteristics of people's activity preference areas, and strengthens the management of safety hazards in the park.

[0035] This application collects environmental data in real time through the sensor module, the intelligent control module accurately controls the air conditioner according to the actual temperature factors, and intelligently adjusts the air conditioner temperature and operation mode according to the changes in indoor and outdoor temperatures to make energy consumption more reasonable. The safety management module can accurately identify key areas with safety hazards based on the characteristics of people's activity preference areas, conduct targeted strengthening management, timely discover and deal with safety hazards, reduce the probability of accidents, and provide more reliable safety protection for people and property in the park. At the same time, the entire system realizes real-time data upload and interaction through the Internet of Things, making park management more intelligent and efficient. Managers can use the data analysis module to understand the environmental conditions, energy consumption and personnel activities in the park at any time, and conduct remote monitoring and decision-making.

[0036] The sensor module includes a sensor unit and a transmission unit, wherein the sensor unit includes a light sensor, a temperature sensor and an infrared sensor, wherein the light sensor is located in the corridor to monitor the lighting conditions in the corridor, the temperature sensor is located in the park office to monitor the temperature changes in the office, and the infrared sensor is located in the smart park to monitor the distribution range of people in the smart park; the transmission unit transmits the data acquired by the sensor module based on the Internet of Things communication technology to the data analysis module to analyze the acquired data.

[0037] This application reduces the energy consumption of air conditioning and lighting, which means reducing greenhouse gas emissions and negative impacts on the environment. Automatically reducing air conditioning power and lighting brightness during periods of low human activity can significantly reduce energy consumption, thereby reducing the park's energy costs.

[0038] The data analysis module pre-processes the data based on the acquired data, analyzes the processed data, and obtains the regular changes in the data; the lighting condition analysis collects the light intensity data for a period of time from the light sensor, records the timestamp of the data, and pre-processes the data, including removing outliers and filling missing values, calculating the average light intensity b in each time period in the surrounding area, and calculating the average light intensity c of the entire cycle. The calculation formula is:

[0039]

[0040] Among them, A is the seasonal index of light, b is the average light intensity in each time period, and c is the average light intensity in the entire cycle. The seasonal index can be used to see the changes in the light intensity in the corridor in different time periods, so as to determine the lighting pattern in the corridor; during the day, due to sufficient natural light, the lights in the corridor are turned off or in a low-brightness state. For a period of time in the morning, the lights are turned off and are high-brightness, and it is judged that the current time point is the morning rush hour. At night, as the sky darkens and the natural light weakens, the demand for turning on the lights in the corridor gradually increases. In the evening, when the natural light intensity drops to a certain level, the corridor lights will automatically turn on, and in the early morning, the lights are turned off, and it is obtained that there is no one in the smart park during this time period; the current exploration pattern is uploaded to the control system.

[0041] The intelligent control module performs intelligent control and management of the lights in the park based on the regular data of light changes. Based on the acquired rules, the lights are intelligently turned on and off at regular time points.

[0042] The intelligent control module of the present application automatically turns lights on and off according to a regular pattern, without the need for frequent manual operation. This greatly reduces the workload of park managers and improves management efficiency, allowing managers to devote more energy to other important park management affairs.

[0043] Based on the regular data of air-conditioning temperature changes, the intelligent control module calculates the air-conditioning temperature value suitable for human body under the current weather conditions, and performs intelligent control and management of the air-conditioning in the park. The calculation formula is:

[0044] T s =d*T w +E

[0045] Where T s is the air conditioning temperature value suitable for human body under the current weather, d and E are coefficients determined by the temperature changes obtained from history, T wis the outside temperature, where the value of d is between 0.5 and 0.7, and the value of E is between 18 and 22. The historical data obtained by the sensor module includes the actual air-conditioning setting temperature under the outside temperature and the corresponding human comfort evaluation. The above formula is used as a model to fit the data and estimate the model parameters, and a set of parameters is found to minimize the sum of squares of the errors between the actual observed values ​​and the model predicted values, and the values ​​of d and E are determined respectively. Based on the calculated temperature value, the intelligent control module intelligently adjusts the air-conditioning temperature in the office based on the obtained temperature value to preserve the comfort.

[0046] Different people in this application may feel differently about temperature, but by comprehensively considering the human comfort evaluation in historical data, the comfort needs of most people can be met. The appropriate temperature is accurately calculated for intelligent regulation to avoid excessive cooling or heating of the air conditioner. When the temperature reaches a suitable value, the air conditioner can run at a lower power to maintain that temperature instead of continuously running at high power, which can greatly reduce energy consumption and save energy costs for the enterprise.

[0047] The safety management module identifies key areas with potential safety hazards in the park based on the characteristics of people's activity preference areas and predetermines the activity preference weights. The determination formula is:

[0048]

[0049] Among them, Np is the number of people who prefer activities in the area, Nt is the total number of people in the smart park, and APW is the weight. The above formula reflects the location of people's activity preference areas in the smart park.

[0050] Determine the risk factor score, consider multiple risk factors, including lighting conditions, narrowness of passages, and age of equipment, set a score range for each risk factor, and evaluate each risk factor at each location in the smart park to obtain the risk factor score for each location. The calculation formula is:

[0051]

[0052] Where n is the number of risk factors present, RFS i is the risk factor score for the ith region.

[0053] Based on the risk factor scores and weights, the safety hazard index of each area in the smart park is calculated. The calculation formula is: SHI = APW*RFS, where SHI is the calculated safety hazard index of each other in the smart park. The higher the SHI value, the more it means that the area is a preferred area for people's activities and there are safety hazards.

[0054] Based on the expert analysis method, the safety hazard threshold of people's preferred activity areas is established, the data of personnel flow and peak time periods in the smart park are sorted out, and the historical hazard information is collected and obtained for evaluation and analysis. The preliminary safety threshold is calculated, and the preliminary determined safety hazard threshold is applied to the actual people's activity preference area for verification. The situation where safety hazards exist under this threshold is observed, so as to determine the risk threshold, and compare the calculated SHI value with the safety threshold. When the SHI value is greater than the threshold, the area is subject to a safety inspection.

[0055] This application calculates the safety hazard threshold by collating personnel flow, peak time periods and historical hidden danger information, and combines expert analysis methods to more accurately identify potential safety risks in people's activity preference areas, fully consider safety factors, and avoid increased safety risks due to wrong decisions.

[0056] Strengthen the management of potential safety hazards in the park by regularly conducting detailed inspections of various areas in the park, including production workshops, warehouses, office areas and public facilities. The inspection content includes the operating status of electrical equipment, aging and damage of wires, connection status of plugs and sockets, and the completeness of fire-fighting facilities. Check whether the fire extinguishers are within the validity period, whether the fire hydrants can be used normally, and whether the fire escape routes are unobstructed; the structural safety of the buildings, check for cracks, leakage and looseness potential risks.

[0057] This application can effectively reduce the probability of fire, electric shock, and collapse accidents by regularly inspecting various areas, promptly discovering and handling electrical equipment failures, fire protection facility problems, and building structure hazards. It can also promptly discover and replace aging and damaged wires, avoid fires caused by short circuits, and protect the lives of people in the park.

[0058] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention, and these changes and improvements fall within the scope of the present invention claimed.

Claims

1. A smart park management platform based on the Internet of Things, characterized in that: include: Data acquisition system and control system. The data acquisition system includes a sensor module and a data analysis module. The control system includes an intelligent control module and a safety management module. The sensor module collects environmental data in the park in real time and uploads the collected data to the data analysis module through the Internet of Things; The data analysis module is electrically connected to the sensor module. The data analysis module analyzes the acquired data, extracts key features, learns the patterns of light and air conditioning temperature changes in the smart park and the characteristics of people's activity preference areas, and uploads the preference features to the control system. The intelligent control module performs intelligent control and management of the lighting and air conditioning in the park based on the regular data of lighting and air conditioning temperature changes; The safety management module identifies safety hazards and risks in the park based on the characteristics of people's activity preference areas, and strengthens the management of safety hazards in the park.

2. According to the IoT-based smart park management platform of claim 1, it is characterized in that: The sensor module includes a sensor unit and a transmission unit, wherein the sensor unit includes a light sensor, a temperature sensor and an infrared sensor, wherein the light sensor is located in the corridor to monitor the lighting conditions in the corridor, the temperature sensor is located in the park office to monitor the temperature changes in the office, and the infrared sensor is located in the smart park to monitor the distribution range of people in the smart park; the transmission unit transmits the data acquired by the sensor module based on the Internet of Things communication technology to the data analysis module to analyze the acquired data.

3. According to claim 2, a smart park management platform based on the Internet of Things is characterized in that: The data analysis module pre-processes the data based on the acquired data, analyzes the processed data, and obtains the regular changes in the data; the lighting condition analysis collects the light intensity data for a period of time from the light sensor, records the timestamp of the data, and pre-processes the data, including removing outliers and filling missing values, calculating the average light intensity b in each time period in the surrounding area, and calculating the average light intensity c of the entire cycle. The calculation formula is: Among them, A is the seasonal index of light, b is the average light intensity in each time period, and c is the average light intensity in the entire cycle. The seasonal index can be used to see the changes in the light intensity in the corridor in different time periods, so as to determine the lighting pattern in the corridor; during the day, due to sufficient natural light, the lights in the corridor are turned off or in a low-brightness state. For a period of time in the morning, the lights are turned off and are high-brightness, and it is judged that the current time point is the morning rush hour. At night, as the sky darkens and the natural light weakens, the demand for turning on the lights in the corridor gradually increases. In the evening, when the natural light intensity drops to a certain level, the corridor lights will automatically turn on, and in the early morning, the lights are turned off, and it is obtained that there is no one in the smart park during this time period; the current exploration pattern is uploaded to the control system.

4. According to the IoT-based smart park management platform of claim 1, it is characterized in that: The intelligent control module performs intelligent control and management of the lights in the park based on the regular data of light changes. Based on the acquired rules, the lights are intelligently turned on and off at regular time points.

5. According to the IoT-based smart park management platform of claim 1, it is characterized in that: Based on the regular data of air-conditioning temperature changes, the intelligent control module calculates the air-conditioning temperature value suitable for human body under the current weather conditions, and performs intelligent control and management of the air-conditioning in the park. The calculation formula is: T s =d*T w +E Where T s is the air conditioning temperature value suitable for human body under the current weather, d and E are coefficients determined by the temperature changes obtained from history, T w is the outside temperature, where the value of d is between 0.5 and 0.7, and the value of E is between 18 and 22. The historical data obtained by the sensor module includes the actual air-conditioning setting temperature under the outside temperature and the corresponding human comfort evaluation. The above formula is used as a model to fit the data and estimate the model parameters, and a set of parameters is found to minimize the sum of squares of the errors between the actual observed values ​​and the model predicted values, and the values ​​of d and E are determined respectively. Based on the calculated temperature value, the intelligent control module intelligently adjusts the air-conditioning temperature in the office based on the obtained temperature value to preserve the comfort.

6. The smart park management platform based on the Internet of Things according to claim 1 is characterized in that: The safety management module identifies key areas with potential safety hazards in the park based on the characteristics of people's activity preference areas and predetermines the activity preference weights. The determination formula is: Among them, Np is the number of people who prefer activities in the area, Nt is the total number of people in the smart park, and APW is the weight. The above formula reflects the location of people's activity preference areas in the smart park.

7. The smart park management platform based on the Internet of Things according to claim 6 is characterized in that: Determine the risk factor score, consider multiple risk factors, including lighting conditions, narrowness of passages, and age of equipment, set a score range for each risk factor, and evaluate each risk factor at each location in the smart park to obtain the risk factor score for each location. The calculation formula is: Where n is the number of risk factors present, RFS i is the risk factor score for the ith region.

8. The smart park management platform based on the Internet of Things according to claim 7 is characterized in that: Based on the risk factor scores and weights, the safety hazard index of each area in the smart park is calculated. The calculation formula is: SHI = APW*RFS, where SHI is the calculated safety hazard index of each other in the smart park. The higher the SHI value, the more it means that the area is a preferred area for people's activities and there are safety hazards.

9. The smart park management platform based on the Internet of Things according to claim 8, characterized in that: Based on the expert analysis method, the safety hazard threshold of people's preferred activity areas is established, the data of personnel flow and peak time periods in the smart park are sorted out, and the historical hazard information is collected and obtained for evaluation and analysis. The preliminary safety threshold is calculated, and the preliminary determined safety hazard threshold is applied to the actual people's activity preference area for verification. The situation where safety hazards exist under this threshold is observed, so as to determine the risk threshold, and compare the calculated SHI value with the safety threshold. When the SHI value is greater than the threshold, the area is subject to a safety inspection.

10. The smart park management platform based on the Internet of Things according to claim 1, characterized in that: Strengthen the management of potential safety hazards in the park by regularly conducting detailed inspections of various areas in the park, including production workshops, warehouses, office areas and public facilities. The inspection content includes the operating status of electrical equipment, aging and damage of wires, connection status of plugs and sockets, and the completeness of fire-fighting facilities. Check whether the fire extinguishers are within the validity period, whether the fire hydrants can be used normally, and whether the fire escape routes are unobstructed; the structural safety of the buildings, check for cracks, leakage and looseness potential risks.

Images