CN115307678A - Intelligent monitoring method and device for ecological sponge system, terminal and storage medium - Google Patents

Abstract

The application relates to an intelligent monitoring method, device, terminal and storage medium for an ecological sponge system, which belong to the technical field of urban rainwater management. The method includes: acquiring and recording temperature and humidity data of an ecological sponge module according to a collection time interval, The change trend between the two temperature and humidity data determines the real-time running status of the ecological sponge module; the long-term running status of the ecological sponge module is determined according to the maximum difference between the temperature and humidity data within the verification time interval; when the long-term running status is abnormal alarm. This application quantifies the operation effect of the ecological sponge system through the effective recording and real-time analysis of the temperature and humidity data during the use of the ecological sponge system, which not only guarantees the continuous and stable operation of the ecological sponge system, but also facilitates the subsequent promotion and development of the ecological sponge system. The application provides data support.

Description

Ecological sponge system intelligent monitoring method, device, terminal and storage medium

technical field

The present application relates to the technical field of urban stormwater management, in particular to an intelligent monitoring method, device, terminal and storage medium for an ecological sponge system.

Background technique

With the advancement of urbanization, the concept of ecological sponge city has been popularized and applied on a large scale in my country. This concept advocates that cities, like sponges, have good "elasticity" in adapting to environmental changes and responding to natural disasters. When it rains, it absorbs, stores, infiltrates and purifies water, and when necessary, "releases" the stored water and utilizes it, gradually improving and restoring the city's natural ecological balance.

In the process of ecological sponge city construction at this stage, various ecological sponge systems with different forms and structures are set up in the city and play their respective functions. These ecological sponge systems are buried under urban roads and connected to the municipal pipe network through overflow drainage pipes. Under the influence of infiltration, the ecological sponge systems can regulate the moisture in the surrounding soil, thereby improving the utilization rate of rainwater.

Although the above-mentioned related schemes can exert beneficial effects after implementation, after long-term practice and summary, technicians found that in the process of using the existing ecological sponge system, there is a lack of necessary data records and data analysis, and the operating status and operation of the system The effect is difficult to quantify intuitively.

Therefore, how to propose a technical solution capable of overcoming the above defects has become an urgent problem to be solved by those skilled in the art.

Contents of the invention

In order to realize the intuitive quantification of the operating state and operating effect of the ecological sponge system, the application provides an intelligent monitoring method, device, terminal and storage medium for the ecological sponge system.

In the first aspect, the application provides an intelligent monitoring method for an ecological sponge system, which adopts the following technical solution:

An intelligent monitoring method for an ecological sponge system, which is compatible with the ecological sponge system. The ecological sponge system includes an ecological sponge module buried underground for realizing the rainwater regulation function. The method includes the following steps:

Obtain and record the temperature and humidity data of the ecological sponge module according to the preset collection time interval, and determine the real-time operating status of the corresponding ecological sponge module according to the data change trend between the temperature and humidity data acquired twice adjacently ;

Determine the long-term running state of the corresponding ecological sponge module according to the maximum difference between the temperature and humidity data within the preset verification time interval;

When the long-term running state is abnormal, a corresponding replacement prompt message for the ecological sponge module is generated and an alarm is issued.

By adopting the above technical solution, the temperature and humidity data during the use of the ecological sponge system can be effectively recorded and analyzed, not only the operating status of the ecological sponge module in the ecological sponge system can be intuitively known, but also real-time hidden danger notification can be realized.

In a specific implementation, the temperature and humidity data of the ecological sponge module are acquired and recorded according to the preset collection time interval, and determined according to the data change trend between the temperature and humidity data acquired twice adjacently. The real-time running status of the corresponding ecological sponge module specifically includes the following steps:

Set the collection time interval corresponding to the ecological sponge module;

Obtain and record the temperature data and humidity data of the ecological sponge module according to the collection time interval;

Comparing the data change trend between the humidity data obtained twice adjacently, when the humidity data before the two adjacent times is lower than the humidity data after that, the corresponding ecological sponge module The real-time running state is marked as the water storage state. When the humidity data before the two adjacent times is higher than the subsequent described humidity data, the real-time running state of the corresponding ecological sponge module is marked as the water supply state. If the previous humidity data is equal to the subsequent humidity data in two consecutive times, the corresponding real-time operating state of the ecological sponge module is marked as a balanced state.

By adopting the above technical solution, the real-time operating status of the ecological sponge module can be accurately known by the system management personnel and then infer the moisture content of the soil around the ecological sponge module, which provides complete data support for the subsequent promotion and application of the ecological sponge system.

In a specific implementable solution, the determination of the long-term operating state of the corresponding ecological sponge module according to the maximum difference between the temperature and humidity data within the preset verification time interval specifically includes the following steps:

Set the verification time interval corresponding to the ecological sponge module;

Determine the long-term operating state of the ecological sponge module in the verification time interval, the long-term operating state includes a maximum temperature change value and a maximum humidity change value, and the maximum temperature change value is all obtained in the verification time interval The difference between the maximum value and the minimum value of the temperature data, the maximum humidity change value is the difference between the maximum value and the minimum value of the humidity data acquired within the verification time interval.

By adopting the above technical scheme, the long-term operating status of the ecological sponge module can also be accurately known by the system management personnel, and the evaluation of the water storage capacity of the ecological sponge module can be intuitively reflected through numerical calculations, so that the operation of the entire ecological sponge system is no longer necessary. in a "black box state".

In a specific implementable embodiment, when the long-term operation state is abnormal, generating a replacement prompt message for the corresponding ecological sponge module and issuing an alarm, specifically includes the following steps:

When the maximum temperature change value exceeds a preset temperature change threshold, mark the corresponding ecological sponge module as an abnormal module;

When the maximum humidity change value is lower than the preset humidity change threshold and the corresponding ecological sponge module is not marked as an abnormal module, a check prompt message for the corresponding ecological sponge module is generated and an alarm is issued;

When the maximum humidity change value is lower than the preset humidity change threshold and the corresponding ecological sponge module is marked as an abnormal module, a replacement prompt message for the corresponding ecological sponge module is generated and an alarm is issued, and the replacement prompt The alarm priority of the information is higher than the inspection prompt information.

By adopting the above technical scheme, it can be judged whether the ecological sponge module is in an abnormal state and whether it needs to be replaced only based on the temperature and humidity data of the ecological sponge module, which greatly improves the accuracy of the monitoring results and reduces the operation and maintenance of the ecological sponge system Difficulty, improve the efficiency of operation and maintenance.

In a specific embodiment, the intelligent monitoring method of the ecological sponge system also includes the following steps:

Setting the depth change threshold corresponding to the ecological sponge module;

Acquiring and recording the burial depth data of the ecological sponge module according to the collection time interval;

calculating the difference between the two adjacent acquisitions of the burial depth data to obtain a single burial depth change value, comparing the burial depth change value with the depth change threshold, when the single burial depth change value exceeds the When the above-mentioned depth change threshold is reached, the corresponding first-level maintenance prompt information of the ecological sponge module is generated and an alarm is issued;

calculating the difference between the maximum value and the minimum value of the buried depth data acquired within the verification time interval to obtain a long-term buried depth change value, when the long-term buried depth change value exceeds the depth change threshold , generate the corresponding secondary maintenance prompt information of the ecological sponge module and issue an alarm, and the alarm priority of the secondary maintenance prompt information is lower than that of the primary maintenance prompt information.

By adopting the above-mentioned technical solution, the monitoring of land subsidence in the area where the ecological sponge system is set is assisted, and the risk of land subsidence caused by the setting of the ecological sponge system is reduced. For areas where there may be hidden dangers of subsidence, system operation and maintenance personnel should excavate in time and find out the cause.

In a specific embodiment, the intelligent monitoring method of the ecological sponge system also includes the following steps:

Setting the normal range of water quality corresponding to the ecological sponge module;

Acquire and record the water quality data of the ecological sponge module according to the collection time interval;

Comparing all the water quality data acquired in the verification time interval with the normal water quality interval one by one, when any of the water quality data exceeds the normal water quality interval, generating the corresponding ecological sponge module Replace prompts and alerts.

By adopting the above-mentioned technical scheme, the monitoring of water quality in the area where the ecological sponge system is installed is assisted. Considering that most of the existing ecological sponge systems are equipped with purification filters, the results of water quality monitoring will directly prompt the system operation and maintenance personnel to correct the failure to meet the standard. Replace the purification filter element.

In the second aspect, the application provides an intelligent monitoring device for an ecological sponge system, which adopts the following technical solution:

An intelligent monitoring device for an ecological sponge system, which is compatible with the ecological sponge system. The ecological sponge system includes an ecological sponge module buried underground for realizing the rainwater regulation function. The device includes the following modules:

The real-time operating state determination module is configured to obtain and record the temperature and humidity data of the ecological sponge module according to the preset collection time interval, and determine the corresponding The real-time running status of the ecological sponge module;

The long-term running state determination module is configured to determine the long-time running state of the corresponding ecological sponge module according to the maximum difference between the temperature and humidity data within the preset verification time interval;

The abnormal operating state alarm module is configured to generate corresponding replacement prompt information for the ecological sponge module and issue an alarm when the long-term operating state is abnormal.

By adopting the above technical solutions, a complete set of intelligent monitoring system has been built, which provides the necessary software technical support for the existing ecological sponge system, and then makes different ecological sponge systems in the city and different ecological sponges in the same ecological sponge system All modules have been effectively integrated, and system managers can realize unified and scientific management by using the intelligent monitoring system provided by this application.

In a third aspect, the present application provides an intelligent terminal, which adopts the following technical solution:

An intelligent terminal includes a memory and a processor, at least one instruction, at least one section of program, code set or instruction set are stored in the memory, and the at least one instruction, at least one section of program, code set or instruction set is processed by the The controller is loaded and executed to realize the intelligent monitoring method of the ecological sponge system as described above.

In the fourth aspect, the present application provides a computer-readable storage medium, adopting the following technical solution:

A computer-readable storage medium, at least one instruction, at least one section of program, code set or instruction set is stored in the readable storage medium, and the at least one instruction, at least one section of program, code set or instruction set is loaded by a processor And execute to realize the ecological sponge system intelligent monitoring method as mentioned above.

In summary, the present application includes at least one of the following beneficial technical effects:

1. This application quantifies the operating effect of the ecological sponge system through the effective recording and real-time analysis of various application data during the use of the ecological sponge system, the moisture content of the ecological sponge module and its surrounding soil, and the operating status of the ecological sponge system , water storage efficiency, water purification efficiency and other specific parameters can be directly obtained and displayed, which not only ensures the continuous and stable operation of the ecological sponge system, but also provides data support for its subsequent promotion and application.

2. This application provides the necessary software technical support for the existing ecological sponge system through a complete set of intelligent monitoring system, and then makes different ecological sponge systems in the city and different ecological sponge modules in the same ecological sponge system All have been effectively integrated, and system managers can realize unified and scientific management by using the intelligent monitoring system provided by this application.

3. This application combines data analysis technology with threshold alarm technology to realize real-time hidden danger notification and reminder. Once abnormal data appears in a certain ecological sponge module in the ecological sponge system, it can be combined with data analysis results to make timely hidden danger notification and reminder , while greatly improving the accuracy of monitoring results, it also reduces the difficulty of operation and maintenance of the ecological sponge system and improves the efficiency of operation and maintenance.

Description of drawings

Fig. 1 is a schematic flowchart of an intelligent monitoring method for an ecological sponge system according to an embodiment of the present application.

Fig. 2 is a schematic diagram of the structure of the ecological sponge system intelligent monitoring device according to the embodiment of the present application.

Detailed ways

This application provides an intelligent monitoring method, device, terminal and storage medium for an ecological sponge system. In order to make the purpose, technical solution and advantages of this application clearer, the implementation of this application will be further described in detail below.

An embodiment of an intelligent monitoring method for an ecological sponge system of the present application will be described in further detail below in conjunction with the accompanying drawings.

An intelligent monitoring method for an ecological sponge system, which is compatible with the ecological sponge system. The ecological sponge system includes an ecological sponge module buried underground for realizing the function of rain and flood regulation. The ecological sponge module can be further embodied as an ecological sponge EAU carbon fiber module. The ecological sponge EAU carbon fiber module is equipped with a corresponding Corresponding sensor components used to obtain various application data during its operation, at least include a temperature and humidity sensor in the sensor component, the probe of the temperature and humidity sensor is inserted in the ecological sponge module or in the surrounding soil. When acquiring data and performing subsequent monitoring processes, the ecological sponge modules individually or in groups should be used as the basic operating unit.

An intelligent monitoring method for an ecological sponge system of the present application, the process of which is shown in Figure 1, includes the following steps:

S1. Acquire and record the temperature and humidity data of the ecological sponge module according to the preset collection time interval, and determine the corresponding real-time data of the ecological sponge module according to the data change trend between the temperature and humidity data acquired twice adjacently. Operating status. This step can be embodied as the following process.

S11. Set the collection time interval corresponding to the ecological sponge module; the collection time interval can be determined according to actual application needs, and generally it can be considered to be set to 6-12 hours.

S12. Acquire and record the temperature data and humidity data of the ecological sponge module according to the collection time interval.

S13. Comparing the data change trend between the humidity data acquired twice adjacently;

When the previous humidity data in two adjacent times is lower than the subsequent humidity data, the real-time operating state of the corresponding ecological sponge module is marked as a water storage state;

When the humidity data before the two adjacent times is higher than the humidity data after, mark the real-time running state of the corresponding ecological sponge module as the water supply state;

When the previous humidity data is equal to the subsequent humidity data in two adjacent times, the corresponding real-time operating state of the ecological sponge module is marked as a balanced state.

What needs to be explained here is that considering the accuracy of the temperature and humidity sensor and the actual system application environment, it is difficult for the humidity data acquired twice to be exactly the same. Therefore, in the actual method application process, you can also consider setting A very small comparison threshold, if the difference between the humidity data obtained twice is greater than the comparison threshold, the data change trend will be further compared, otherwise it will be directly regarded as the humidity data obtained twice adjacent same.

In the actual use process, after the moisture content of the ecological sponge module is accurately known by the system management personnel, the moisture content of the soil around the ecological sponge module can also be inferred. In this way, the subsequent promotion and application of the ecological sponge system will have Complete data support.

S2. Determine the long-term running state of the corresponding ecological sponge module according to the maximum difference between the temperature and humidity data within the preset verification time interval. This step can be embodied as the following process.

S21. Set the verification time interval corresponding to the ecological sponge module; the verification time interval can also be determined according to actual application needs, but the verification time interval needs to be greater than the collection time interval, and generally it can be considered to set 3~6 months.

S22. Determine the long-term operating state of the ecological sponge module within the verification time interval, the long-term operating state includes a maximum temperature change value and a maximum humidity change value, and the maximum temperature change value is obtained within the verification time interval The difference between the maximum value and the minimum value of the temperature data, the maximum humidity change value is the difference between the maximum value and the minimum value of the humidity data acquired within the verification time interval.

After the long-term operating status of the ecological sponge module is accurately known by the system management personnel, the evaluation of the water storage capacity of the ecological sponge module can be intuitively completed through the extreme value, which provides a basis for the subsequent early warning process of the method.

S3. When the long-term running state is abnormal, generate corresponding replacement prompt information for the ecological sponge module and issue an alarm. This step can be embodied as the following process.

S31. If the maximum temperature change value exceeds a preset temperature change threshold, mark the corresponding ecological sponge module as an abnormal module.

Because the service life of the ecological sponge module is generally 10 to 20 years, the material aging phenomenon occurs relatively slowly, but abnormal temperature changes will seriously accelerate this process, so once the maximum temperature change value exceeds the preset temperature If the threshold value is changed, it is necessary to consider whether the ecological sponge module has experienced material aging. During the actual application of the method, the ecological sponge module marked as an abnormal module needs to be monitored intensively.

S32. If the maximum humidity change value is lower than the preset humidity change threshold and the corresponding ecological sponge module is not marked as an abnormal module, generate inspection prompt information for the corresponding ecological sponge module and issue an alarm.

The maximum humidity change value can intuitively reflect the maximum water storage capacity of the ecological sponge module, and the humidity change threshold is generally 20% to 30% of the corresponding initial maximum water storage capacity of the ecological sponge module. If the maximum humidity change value is lower than the humidity change threshold, it indicates that the water storage capacity of the ecological sponge module has seriously declined, and further inspection or replacement is required.

S33. If the maximum humidity change value is lower than the preset humidity change threshold and the corresponding ecological sponge module is marked as an abnormal module, generate replacement prompt information for the corresponding ecological sponge module and issue an alarm.

In the method of this application, it can be judged whether the ecological sponge module is in an abnormal state and whether it needs to be replaced through the temperature and humidity data of the ecological sponge module. The difficulty of operation and maintenance of the sponge system improves the efficiency of operation and maintenance.

In addition to the above technical solutions, in a specific implementable solution, the intelligent monitoring method of the ecological sponge system also includes the following steps:

S41. Set the depth change threshold corresponding to the ecological sponge module; the value of the depth change threshold can refer to the local land subsidence rate standard set by the system.

S42. Acquire and record the burial depth data of the ecological sponge module according to the collection time interval; the burial depth data can be obtained by means of a depth sensor installed in the ecological sponge module, or according to the existing settlement observation method Observe the corresponding values.

S43. Calculate the difference between the two adjacent acquisitions of the burial depth data to obtain a single burial depth change value, compare the burial depth change value with the depth change threshold, if the single burial depth change value Exceeding the depth change threshold, generate the corresponding first-level maintenance prompt information of the ecological sponge module and issue an alarm, then end the process, otherwise enter step S44 in sequence;

S44. Calculate the difference between the maximum and minimum values of the burial depth data acquired within the verification time interval to obtain a long-term burial depth change value, if the long-term burial depth change value exceeds the depth Change the threshold, generate the corresponding secondary maintenance prompt information of the ecological sponge module and issue an alarm, and the alarm priority of the secondary maintenance prompt information is lower than that of the primary maintenance prompt information.

The above steps have assisted in realizing the monitoring of land subsidence in the area where the ecological sponge system is set up, and greatly reduced the risk of land subsidence caused by the setting up of the ecological sponge system. For areas where there may be hidden dangers of subsidence, system operation and maintenance personnel should excavate in time and find out the cause.

In addition to the above technical solutions, in a specific implementable solution, the intelligent monitoring method of the ecological sponge system also includes the following steps:

S51. Setting the normal range of water quality corresponding to the ecological sponge module;

S52. Acquire and record the water quality data of the ecological sponge module according to the collection time interval;

S53. Comparing all the water quality data acquired within the verification time interval with the normal water quality range one by one, and generating the corresponding ecological sponge when any of the water quality data exceeds the normal water quality range Module replacement notification and alarm.

The above steps assist in realizing the monitoring of water quality in the area where the ecological sponge system is set up. Considering that most of the existing ecological sponge systems are equipped with purification filter elements, which can remove pollutants such as suspended solids SS, phosphorus, and nitrogen, the water quality The monitoring results will directly prompt the system operation and maintenance personnel to replace the purification filter elements that do not meet the standards.

It should also be noted that in this application, for the acquisition of various sensor data, various related technologies in the prior art can be selected. Considering that there are many conventional means of implementing sensor communication technology, both wired and wireless forms are acceptable. Therefore, it will not be described in detail here.

An intelligent monitoring method for an ecological sponge system in this application realizes real-time notification of hidden dangers by combining data analysis technology with threshold alarm technology. Once abnormal data appears in a certain ecological sponge module in the ecological sponge system, it can be Combined with the data analysis results, the hidden danger notification is made in a timely manner, which not only greatly improves the accuracy of the monitoring results, but also reduces the difficulty of operation and maintenance of the ecological sponge system and improves the efficiency of operation and maintenance.

Based on the same inventive concept above, the embodiment of the present application also discloses an intelligent monitoring device for an ecological sponge system, which is compatible with the ecological sponge system. The ecological sponge module, with reference to Figure 2, the device includes the following modules:

The real-time operating state determination module is configured to obtain and record the temperature and humidity data of the ecological sponge module according to the preset collection time interval, and determine the corresponding The real-time running status of the ecological sponge module;

The long-term running state determination module is configured to determine the long-time running state of the corresponding ecological sponge module according to the maximum difference between the temperature and humidity data within the preset verification time interval;

The abnormal operating state alarm module is configured to generate corresponding replacement prompt information for the ecological sponge module and issue an alarm when the long-term operating state is abnormal.

In a specific implementation, the real-time running state determination module includes:

The collection time interval setting unit is configured to set the collection time interval corresponding to the ecological sponge module;

The temperature and humidity data acquisition unit is configured to acquire and record the temperature data and humidity data of the ecological sponge module according to the acquisition time interval;

The real-time operating state determination unit is configured to compare the data change trend between the humidity data acquired twice adjacently, and when the humidity data before the two adjacent times is lower than the humidity data after that, then Mark the real-time operating state of the corresponding ecological sponge module as a water storage state, and when the humidity data before the two adjacent times is higher than the subsequent humidity data, the corresponding ecological sponge module The real-time running state is marked as a water supply state, and when the previous humidity data is equal to the subsequent humidity data in two adjacent times, the real-time running state of the corresponding ecological sponge module is marked as a balanced state.

In a specific implementation, the long-running state determination module includes:

The verification time interval setting unit is configured to set the verification time interval corresponding to the ecological sponge module;

The long-term operation state determination unit is configured to determine the long-term operation state of the ecological sponge module within the verification time interval, the long-term operation state includes a maximum temperature change value and a maximum humidity change value, and the maximum temperature change value is the difference between the maximum value and the minimum value of the temperature data acquired in the verification time interval, and the maximum humidity change value is the difference between the maximum value and the minimum value of the humidity data obtained in the verification time interval difference.

In a specific implementation, the abnormal operating state alarm module includes:

The abnormal module marking unit is configured to mark the corresponding ecological sponge module as an abnormal module when the maximum temperature change value exceeds a preset temperature change threshold;

The inspection prompt alarm unit is configured to generate an inspection prompt for the corresponding ecological sponge module when the maximum humidity change value is lower than the preset humidity change threshold and the corresponding ecological sponge module is not marked as an abnormal module information and alerts.

The first replacement prompt alarm unit is configured to generate a replacement of the corresponding ecological sponge module when the maximum humidity change value is lower than a preset humidity change threshold and the corresponding ecological sponge module is marked as an abnormal module Prompt information and issue an alarm, and the alarm priority of the replacement prompt information is higher than that of the inspection prompt information.

In a specific implementable solution, an intelligent monitoring device for an ecological sponge system also includes the following units:

a depth change threshold setting unit configured to set the depth change threshold corresponding to the ecological sponge module;

The burial depth acquisition unit is configured to acquire and record the burial depth data of the ecological sponge module according to the collection time interval;

The first-level maintenance prompt and alarm unit is configured to calculate the difference between the buried depth data obtained twice adjacently to obtain a single buried depth change value, compare the buried depth change value with the depth change threshold, and when When the single burial depth change value exceeds the depth change threshold, a corresponding first-level maintenance prompt message for the ecological sponge module is generated and an alarm is issued;

The secondary maintenance prompt alarm unit is configured to calculate the difference between the maximum value and the minimum value of the buried depth data acquired within the verification time interval to obtain a long-term buried depth change value, when the long-term When the burial depth change value exceeds the depth change threshold, the corresponding secondary maintenance prompt information of the ecological sponge module is generated and an alarm is issued, and the alarm priority of the secondary maintenance prompt information is lower than that of the primary maintenance prompt information .

In a specific implementable solution, an intelligent monitoring device for an ecological sponge system also includes the following units:

The normal water quality interval setting unit is configured to set the normal water quality interval corresponding to the ecological sponge module;

The water quality data acquisition unit is configured to acquire and record the water quality data of the ecological sponge module according to the collection time interval;

The second replacement reminder and alarm unit is configured to compare all the water quality data acquired within the verification time interval with the normal water quality range one by one, and when any of the water quality data exceeds the normal water quality range , generating a replacement prompt message for the corresponding ecological sponge module and issuing an alarm.

An intelligent monitoring device for an ecological sponge system in this application has built a complete set of intelligent monitoring system, which provides the necessary software technical support for the existing ecological sponge system, and then makes different ecological sponge systems in the city, the same ecological The different ecological sponge modules in the sponge system have been effectively integrated, and system managers can realize unified and scientific management by using the intelligent monitoring system provided by this application.

Based on the above-mentioned same inventive concept, the embodiment of the present application also discloses a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set, at least one instruction, at least one program, code set Or the instruction set can be loaded and executed by the processor to implement the intelligent monitoring method for the ecological sponge system provided by the above method embodiments.

It should be understood that the "plurality" mentioned herein refers to two or more than two. "And/or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and/or B may indicate: A exists alone, A and B exist simultaneously, and B exists independently. The character "/" generally indicates that the contextual objects are an "or" relationship.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above embodiments can be completed by hardware, and can also be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium. The above-mentioned The storage medium mentioned includes, for example: U disk, mobile hard disk, read-only memory (Read-OnlyMemory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other various media that can store program codes .

The above are only optional embodiments of the application, and are not intended to limit the application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the application shall be included in the protection of the application. within range.

Claims (9)

1. The intelligent monitoring method of the ecological sponge system is matched with the ecological sponge system, and the ecological sponge system comprises an ecological sponge module which is buried underground and used for realizing a rainfall flood regulation function, and is characterized by comprising the following steps:

acquiring and recording temperature and humidity data of the ecological sponge module according to a preset acquisition time interval, and determining a real-time operation state of the corresponding ecological sponge module according to a data change trend between the temperature and humidity data acquired twice;

determining a long-term operation state of the corresponding ecological sponge module according to a maximum difference value between the temperature and humidity data within a preset check time interval;

and when the long-term running state is abnormal, generating corresponding replacement prompt information of the ecological sponge module and giving an alarm.

2. The intelligent monitoring method for the ecological sponge system according to claim 1, wherein the temperature and humidity data of the ecological sponge module are acquired and recorded according to a preset acquisition time interval, and the real-time operation state of the corresponding ecological sponge module is determined according to a data change trend between the temperature and humidity data acquired twice, specifically comprising the following steps:

setting an acquisition time interval corresponding to the ecological sponge module;

acquiring and recording temperature data and humidity data of the ecological sponge module according to the acquisition time interval;

comparing data change trends between the humidity data acquired in two adjacent times, when the humidity data before the two adjacent times is lower than the humidity data after the two adjacent times, marking the corresponding real-time running state of the ecological sponge module as a water storage state, when the humidity data before the two adjacent times is higher than the humidity data after the two adjacent times, marking the corresponding real-time running state of the ecological sponge module as a water supply state, and when the humidity data before the two adjacent times is equal to the humidity data after the two adjacent times, marking the corresponding real-time running state of the ecological sponge module as a balance state.

3. The ecological sponge system intelligent monitoring method according to claim 2, wherein the long-term operation state of the ecological sponge module is determined according to the maximum difference between the temperature and humidity data within a preset check time interval, and the method specifically comprises the following steps:

setting a calibration time interval corresponding to the ecological sponge module;

and determining a long-term running state of the ecological sponge module in a checking time interval, wherein the long-term running state comprises a maximum temperature change value and a maximum humidity change value, the maximum temperature change value is a difference value between the maximum value and the minimum value of the temperature data acquired in the checking time interval, and the maximum humidity change value is a difference value between the maximum value and the minimum value of the humidity data acquired in the checking time interval.

4. The ecological sponge system intelligent monitoring method according to claim 3, wherein when the long-term operation state is abnormal, the method generates corresponding replacement prompt information of the ecological sponge module and gives an alarm, and specifically comprises the following steps:

when the maximum temperature change value exceeds a preset temperature change threshold value, marking the corresponding ecological sponge module as an abnormal module;

when the maximum humidity change value is lower than a preset humidity change threshold value and the corresponding ecological sponge module is not marked as an abnormal module, generating inspection prompt information of the corresponding ecological sponge module and giving an alarm;

and when the maximum humidity change value is lower than a preset humidity change threshold value and the corresponding ecological sponge module is marked as an abnormal module, generating corresponding replacement prompt information of the ecological sponge module and giving an alarm, wherein the alarm priority of the replacement prompt information is higher than that of the inspection prompt information.

5. The ecological sponge system intelligent monitoring method according to claim 3, characterized in that the method further comprises the following steps:

setting a depth change threshold corresponding to the ecological sponge module;

acquiring and recording burial depth data of the ecological sponge module according to the acquisition time interval;

calculating the difference value of the burying depth data obtained in two adjacent times to obtain a single burying depth change value, comparing the burying depth change value with the depth change threshold value, and generating first-level maintenance prompt information of the corresponding ecological sponge module and giving an alarm when the single burying depth change value exceeds the depth change threshold value;

and calculating the difference value between the maximum value and the minimum value of the burial depth data acquired in the verification time interval to obtain a long-term burial depth change value, generating corresponding secondary maintenance prompt information of the ecological sponge module and giving an alarm when the long-term burial depth change value exceeds the depth change threshold, wherein the alarm priority of the secondary maintenance prompt information is lower than that of the primary maintenance prompt information.

6. The intelligent monitoring method for ecological sponge system according to claim 3, further comprising the steps of:

setting a water quality normal interval corresponding to the ecological sponge module;

acquiring and recording water quality data of the ecological sponge module according to the acquisition time interval;

and comparing all the water quality data acquired in the verification time interval with the water quality normal interval one by one, and generating corresponding replacement prompt information of the ecological sponge module and giving an alarm when any water quality data exceeds the water quality normal interval.

7. The utility model provides an ecological sponge system intelligent monitoring device, with ecological sponge system looks adaptation, contain in the ecological sponge system and bury underground in, be used for realizing the ecological sponge module of rainfall flood regulatory function, its characterized in that, the device includes following module:

the real-time running state determining module is configured to acquire and record temperature and humidity data of the ecological sponge module according to a preset acquisition time interval, and determine a corresponding real-time running state of the ecological sponge module according to a data change trend between the temperature and humidity data acquired twice;

the long-time running state determining module is configured to determine a corresponding long-time running state of the ecological sponge module according to a maximum difference value between the temperature and humidity data within a preset checking time interval;

and the abnormal operation state alarm module is configured to generate corresponding replacement prompt information of the ecological sponge module and send out an alarm when the long-term operation state is abnormal.

8. An intelligent terminal, comprising a memory and a processor, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor to implement the intelligent monitoring method for ecological sponge system according to any one of claims 1 to 6.

9. A computer-readable storage medium, wherein at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the computer-readable storage medium, and the at least one instruction, at least one program, a set of codes, or a set of instructions is loaded and executed by a processor to implement the ecological sponge system intelligent monitoring method as claimed in any one of claims 1 to 6.

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