Environmental protection equipment adaptive adjustment system and method based on environmental perception

Abstract

The present invention discloses an environmental protection equipment adaptive adjustment system and method based on environmental perception, which relates to the field of equipment adaptive adjustment technology, including: obtaining historical adjustment records of environmental protection equipment, analyzing the changes presented by the sensor data of the sensors in each adjustment record, and extracting a first mark record from the adjustment record; obtaining the degree of change corresponding to each sensor, and extracting a second mark record from the adjustment record; obtaining the characteristic adjustment record, establishing a three-dimensional model of the building space, and obtaining a baseline perception set; establishing a three-dimensional model of the building space to be detected, obtaining the perception set to be detected, and determining whether to issue an early warning prompt for the sensors in the building space to be detected. The present invention analyzes historical adjustment records, establishes a perception set, and issues early warning prompts for unreasonable deployment of sensors in the current building space to be detected, providing strong data support for subsequent analysis of environmental quality by relevant technical personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment adaptive adjustment, and in particular to an environmental protection equipment adaptive adjustment system and method based on environmental perception. Background Art

[0002] Environmental protection equipment refers to mechanical products, structures, and systems used to control environmental pollution and improve environmental quality. It has a wide range of applications, including solid waste disposal, environmental monitoring, air purification, and sewage treatment. The adaptive adjustment process for environmental protection equipment involves deploying high-precision sensors at key locations on environmental protection equipment and in target environmental areas, forming a three-dimensional sensing network. These sensors continuously collect relevant environmental parameter information in real time and transmit it to a central control system via wired or wireless transmission. This data is then intelligently analyzed to achieve adaptive adjustment.

[0003] However, when deploying sensors, if the complexity of the environment and the environmental area are not fully considered, the sensor layout will be unreasonable. For example, when the sensor deployment location is too hidden or is interfered with by other equipment, the data changes on the sensor will be abnormal compared with normal changes when the environment is adjusted. As a result, the data detected by the sensor is not representative, and it is impossible to fully and accurately represent the actual data changes in the environmental area and the true state of the overall environment. It is impossible to provide strong data support for relevant technical personnel to analyze environmental quality. Summary of the Invention

[0004] The purpose of the present invention is to provide an environmental protection equipment adaptive adjustment system and method based on environmental perception to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The method for adaptively adjusting environmental protection equipment based on environmental perception includes the following steps:

[0007] Step S100: Acquire historical adjustment records of the environmental protection device, where the adjustment records are records of environmental adjustments made by the environmental protection device when the sensor data detected by the sensor is outside a normal value range; analyze the changes in the sensor data in each adjustment record, and extract a first marked record from the adjustment record;

[0008] Step S200: obtaining a change degree corresponding to each sensor according to the sensor data of each sensor corresponding to each adjustment record, and extracting a second marking record from the adjustment record according to the change degree;

[0009] Step S300: Obtain a feature adjustment record based on the first marking record and the second marking record; establish a three-dimensional model of the building space where the environmental protection equipment is located, mark the location of each sensor, and obtain a baseline perception set based on the sensor location corresponding to each feature adjustment record;

[0010] The purpose of obtaining the characteristic adjustment record based on the first mark record and the second mark record is as follows: the first mark record is obtained based on the sensor data corresponding to the adjustment record. When the change of the sensor data is normal, it means that the adjustment record is normal; the second mark record is a record when the degree of change corresponding to the target sensor is relatively evenly distributed. Because under normal circumstances, when the degree of change of each sensor is quite different, that is, when the distribution is relatively even, the change value of the sensor at this time has greater reference significance for analyzing the change of the entire environmental space, and this is exactly the characteristic that this scheme hopes to have, so this type of adjustment record is used as the second mark record. The adjustment record corresponding to the characteristic adjustment record not only has normal changes in sensor data, but also has greater reference significance for its degree of change. Therefore, this scheme uses the characteristic adjustment record as a reference standard, and obtains a benchmark perception set by summarizing the laws of the characteristic adjustment record, which provides important reference significance for the following exploration of whether the changes of sensors in the space to be detected are reasonable.

[0011] Step S400: Establish a three-dimensional model of the building space to be inspected, obtain the perception set to be inspected based on the location of each sensor in the building space to be inspected and the sensor data of each sensor, and combine it with the baseline perception set to determine whether to issue an early warning prompt for the sensors in the building space to be inspected.

[0012] Furthermore, step S100 includes:

[0013] Step S110: Obtain the normal value range (V1, V2) corresponding to the sensor data, where V1 and V2 are the minimum normal value and the maximum normal value, respectively; obtain the sensor data of all sensors in the building space where the environmental protection equipment is located, and capture the start adjustment time, end adjustment time, and target sensor corresponding to each adjustment record. The target sensor is the sensor whose sensor data is outside the normal value range within the time period T1 before the start adjustment time;

[0014] Step S120: For all target sensors corresponding to a certain adjustment record, the function of the change in sensor data over time during the adjustment process is set as a first change function, and the function of the change in sensor data over time in a time period T2 after the adjustment is completed is set as a second change function;

[0015] The middle value of the normal value range is taken as V0, a ​​certain moment in the adjustment process is taken as a, and the next moment after moment a is taken as b. If the sensor data at moment b in the first change function F1 corresponding to a target sensor is closer to V0 than the sensor data at moment a, then moment a in function F1 is marked, and then all marked moments in function F1 are obtained. If the number of marked moments in function F1 is greater than the number threshold, then a target sensor in a certain adjustment record is first marked.

[0016] If all target sensors in a certain adjustment record are first marked, and the sensor data at each moment in the second change function corresponding to all target sensors are within the normal value range, then the certain adjustment record is taken as the first marked record, and all first marked records are obtained.

[0017] Furthermore, step S200 includes:

[0018] Step S210: Obtain a first change function of a target sensor E corresponding to a certain adjustment record, extract all marked moments in the first change function, summarize them, and obtain a total marked duration D. The difference between the maximum sensor data and the minimum sensor data in the marked moments is used as the data difference V, thereby obtaining a change degree B = V / D of the target sensor E.

[0019] Step S220: If the degree of change B is greater than a preset change degree threshold, the target sensor E is second-marked, thereby obtaining all second-marked target sensors in a certain adjustment record; based on the degree of change of each second-marked target sensor, the variance is calculated as the adjustment value of the certain adjustment record; if the adjustment value is greater than the adjustment threshold, the certain adjustment record is recorded as the second mark, and all second-marked records are obtained.

[0020] Furthermore, step S300 includes:

[0021] Step S310: If an adjustment record is both a first-marked record and a second-marked record, the adjustment record is used as a characteristic adjustment record; based on the change degrees of each target sensor corresponding to each characteristic adjustment record, all change degrees corresponding to the target sensor are added together to obtain an average value, which is used as the characteristic degree of the target sensor;

[0022] Step S320: Create a three-dimensional model of the building space where the environmental protection equipment is located, and mark the equipment adjustment locations in the three-dimensional model. The equipment adjustment locations are the output ports on the environmental protection equipment used to implement the environmental adjustment function. The target sensors are sorted in order from closest to the equipment adjustment locations.

[0023] Then establish the benchmark perception set X, X={(L1,C1),(L2,C2),…,(L m ,Cm )}, where L1, L2, …, L m are the distances between the target sensors and the equipment adjustment parts, C1, C2, ..., C m are the characteristic degrees of target sensors numbered 1, 2,…, m respectively.

[0024] It should be noted that in this solution, the rationality of sensor placement is primarily determined by the variation in sensor data from sensors located at various distances from the equipment's control points. Under normal circumstances, the data variation from sensors of the same type deployed at different locations should exhibit a certain degree of logical consistency. For example, for temperature sensors monitoring air temperature, deployed from near to far from the equipment's control point, the variation in temperature should normally decrease with increasing distance. Therefore, the variation in sensor data from closer sensors should generally be higher than that from farther away. If the distance is reasonable but the sensor data is illogical—that is, the data exhibits illogical jumps or fluctuations—this may indicate that some sensor locations are affected by local interference or are improperly positioned, resulting in the data not accurately reflecting the natural variation in air temperature. This indicates that the current sensor placement is inconsistent with historical variation patterns, necessitating a warning and notification that further adjustments are needed.

[0025] Furthermore, step S400 includes:

[0026] Step S410: Deploy at least M sensors in the building space to be inspected; obtain a first change function of each target sensor corresponding to a certain adjustment record in the building space to be inspected, and obtain a change degree of each target sensor based on each first change function, and use each change degree as a characteristic degree of each target sensor;

[0027] According to the distance between each target sensor and the equipment adjustment part in the building space to be detected, the target sensors are sorted in the order of distance from near to far, and the perception set to be detected Y is obtained, Y = {(L1, C1), (L2, C2), ..., (L n ,C n )}, where L1, L2, …, L n are the distances between the target sensors with serial numbers 1, 2, ..., n and the adjustment parts of the equipment, C1, C2, ..., C n are the characteristic degrees of target sensors numbered 1, 2, …, n respectively;

[0028] Step S420: Establish a two-dimensional coordinate system in which the degree of feature changes with distance, extract each element in the set X and Y, and mark the coordinates of each element in the two-dimensional coordinate system, and perform fitting C=k*L+b according to the least squares method, where C is the degree of feature, L is the distance, k is the slope, and b is the intercept, and obtain the goodness of fit R obtained in the fitting process 2 , when the goodness of fit R 2 ≤k R When k R As the early warning coefficient, early warning prompts are given to the sensors in the building space to be detected.

[0029] An environmental protection equipment adaptive adjustment system based on environmental perception includes a first mark record extraction module, a second mark record extraction module, a benchmark perception set establishment module and an early warning prompt module;

[0030] A first-marked record extraction module is used to obtain historical adjustment records of environmental protection equipment. Adjustment records are records of environmental adjustments made by environmental protection equipment when sensor data detected by the monitoring sensor is outside the normal value range. The module analyzes the changes in the sensor data in each adjustment record and extracts the first-marked record from the adjustment record.

[0031] A second marked record extraction module is configured to obtain, based on the sensor data of each sensor corresponding to each adjustment record, a change degree corresponding to each sensor, and extract a second marked record from the adjustment record based on the change degree;

[0032] A baseline perception set establishment module is configured to obtain a feature adjustment record based on the first and second marking records; establish a three-dimensional model of the building space where the environmental protection equipment is located, mark the location of each sensor, and obtain a baseline perception set based on the sensor location corresponding to each feature adjustment record;

[0033] Early warning module: used to establish a three-dimensional model of the building space to be inspected, obtain the perception set to be inspected based on the location of each sensor in the building space to be inspected and the sensor data of each sensor, and combine it with the baseline perception set to determine whether to issue an early warning prompt for the sensors in the building space to be inspected.

[0034] Further, the first marked record extraction module includes a target sensor determination unit and a first marked record extraction unit;

[0035] Target sensor determination unit: used to obtain sensor data from all sensors in the building space where the environmental protection equipment is located, and capture the start adjustment time, end adjustment time and target sensor corresponding to each adjustment record;

[0036] The first mark record extraction unit is used to obtain all first change functions and second change functions corresponding to a certain adjustment record, and extract the first mark record from the adjustment record according to the first change function and the second change function.

[0037] Furthermore, the early warning prompt module includes a detection perception set establishment unit and an early warning prompt unit;

[0038] The unit for establishing the set of sensory data to be detected is used to establish a three-dimensional model of the building space to be detected, and obtain the set of sensory data to be detected based on the location of each sensor in the building space to be detected and the sensor data of each sensor;

[0039] Early warning prompt unit: used to determine whether to issue an early warning prompt to the sensors in the building space to be detected based on the obtained perception set to be detected and combined with the benchmark perception set.

[0040] Compared with the existing technology, the beneficial effects of the present invention are as follows: the present invention provides an environmental protection equipment adaptive adjustment system and method based on environmental perception, including: obtaining historical adjustment records of environmental protection equipment, analyzing the changes presented by the sensor data of the sensors in each adjustment record, and extracting a first mark record from the adjustment record; obtaining the degree of change corresponding to each sensor, and extracting a second mark record from the adjustment record; obtaining the characteristic adjustment record, establishing a three-dimensional model of the building space, and obtaining a baseline perception set; establishing a three-dimensional model of the building space to be inspected, obtaining the perception set to be inspected, and determining whether to issue an early warning prompt for the sensors in the building space to be inspected. The present invention analyzes historical adjustment records, establishes a perception set, and issues early warning prompts for unreasonable deployment of sensors in the current building space to be inspected, providing strong data support for subsequent analysis of environmental quality by relevant technical personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Schematic diagram of the process of the adaptive adjustment method of environmental protection equipment based on environmental perception of the present invention;

[0042] Figure 2 This is a structural diagram of the environmental protection equipment adaptive adjustment system based on environmental perception of the present invention. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0044] Example: Figure 1As shown, the present invention provides a technical solution of an environmental protection equipment adaptive adjustment system and method based on environmental perception, including the following steps:

[0045] Step S100: Acquire historical adjustment records of the environmental protection device, where the adjustment records are records of environmental adjustments made by the environmental protection device when the sensor data detected by the sensor is outside a normal value range; analyze the changes in the sensor data in each adjustment record, and extract a first marked record from the adjustment record;

[0046] Step S110: Obtain the normal value range (V1, V2) corresponding to the sensor data, where V1 and V2 are the minimum normal value and the maximum normal value, respectively; obtain the sensor data of all sensors in the building space where the environmental protection equipment is located, and capture the start adjustment time, end adjustment time, and target sensor corresponding to each adjustment record. The target sensor is the sensor whose sensor data is outside the normal value range within the time period T1 before the start adjustment time;

[0047] In this embodiment, the adjustment scenario is: taking the temperature and humidity in the factory as an example, when the temperature or humidity in the factory is too high, it is necessary to cool down through air conditioning or dehumidifiers, and both air conditioning and dehumidifiers are used to improve the environment through corresponding exhaust vents; when the temperature or humidity in the factory reaches a certain value, that is, outside the normal value range, adjustment is performed, and the sensor outside the normal value range is used as the target sensor at this time, and when the temperature or humidity in the factory reaches a certain value within the normal value range, the adjustment is stopped.

[0048] Step S120: For all target sensors corresponding to a certain adjustment record, the function of the change in sensor data over time during the adjustment process is set as a first change function, and the function of the change in sensor data over time in a time period T2 after the adjustment is completed is set as a second change function;

[0049] The middle value of the normal value range is taken as V0, a ​​certain moment in the adjustment process is taken as a, and the next moment after moment a is taken as b. If the sensor data at moment b in the first change function F1 corresponding to a target sensor is closer to V0 than the sensor data at moment a, then moment a in function F1 is marked, and then all marked moments in function F1 are obtained. If the number of marked moments in function F1 is greater than the number threshold, then a target sensor in a certain adjustment record is first marked.

[0050] If all target sensors in a certain adjustment record are first marked, and the sensor data at each moment in the second change function corresponding to all target sensors are within the normal value range, then the certain adjustment record is taken as the first marked record, and all first marked records are obtained.

[0051] Step S200: obtaining the degree of change corresponding to each sensor according to the sensor data of each sensor corresponding to each adjustment record, and extracting a second marking record from the adjustment record according to the degree of change.

[0052] Step S210: Obtain a first change function of a target sensor E corresponding to a certain adjustment record, extract all marked moments in the first change function, summarize them, and obtain a total marked duration D. The difference between the maximum sensor data and the minimum sensor data in the marked moments is used as the data difference V, thereby obtaining a change degree B = V / D of the target sensor E.

[0053] Step S220: If the degree of change B is greater than a preset change degree threshold, the target sensor E is second-marked, thereby obtaining all second-marked target sensors in a certain adjustment record; based on the degree of change of each second-marked target sensor, the variance is calculated as the adjustment value of the certain adjustment record; if the adjustment value is greater than the adjustment threshold, the certain adjustment record is recorded as the second mark, and all second-marked records are obtained.

[0054] Step S300: Obtain a feature adjustment record based on the first marking record and the second marking record; establish a three-dimensional model of the building space where the environmental protection equipment is located, mark the location of each sensor, and obtain a baseline perception set based on the sensor location corresponding to each feature adjustment record;

[0055] Step S310: If an adjustment record is both a first mark record and a second mark record, the adjustment record is used as a characteristic adjustment record; according to the degree of change of each target sensor corresponding to each characteristic adjustment record, all the degree of change corresponding to a target sensor are added together to obtain an average value, which is used as the characteristic degree of the target sensor.

[0056] The purpose of obtaining the feature adjustment record based on the first and second marking records is as follows: the first marking record is obtained based on the sensor data corresponding to the adjustment record. When the change in the sensor data is normal, the adjustment record is normal; the second marking record is a record when the change degree corresponding to the target sensor is relatively evenly distributed. In general, when the change degrees of each sensor vary greatly, that is, when the distribution is relatively even, the sensor change values ​​at this time are more meaningful for analyzing the changes in the entire environmental space. This is exactly the characteristic that this scheme desires, so this type of adjustment record is used as the second marking record. The adjustment record corresponding to the feature adjustment record not only shows normal changes in the sensor data, but also has greater reference significance for its degree of change. Therefore, this scheme uses the feature adjustment record as a reference standard and, by summarizing the laws of the feature adjustment record, obtains a benchmark perception set, which provides important reference significance for the following exploration of whether the changes in the sensors in the detected space are reasonable.

[0057] Step S320: Create a three-dimensional model of the building space where the environmental protection equipment is located, and mark the equipment adjustment locations in the three-dimensional model. The equipment adjustment locations are the output ports on the environmental protection equipment used to implement the environmental adjustment function. The target sensors are sorted in order from closest to the equipment adjustment locations.

[0058] Then establish the benchmark perception set X, X={(L1,C1),(L2,C2),…,(L m ,C m )}, where L1, L2, …, L m are the distances between the target sensors and the equipment adjustment parts, C1, C2, ..., C m are the characteristic degrees of target sensors numbered 1, 2,…, m respectively.

[0059] It should be noted that in this solution, the rationality of sensor placement is primarily determined by the variation in sensor data from sensors located at various distances from the equipment's control points. Normally, the data variation from sensors of the same type deployed at different locations should exhibit a certain degree of logical consistency. For example, consider temperature sensors monitoring air temperature. If these sensors are deployed from near to far from the equipment's control point, the variation in temperature should normally decrease with increasing distance. Therefore, the variation in closer sensors should generally be higher than that of farther sensors. If the distance is reasonable but the sensor data is illogical—that is, the data exhibits illogical jumps or fluctuations—this may indicate that some sensor locations are affected by local interference or are improperly positioned, resulting in the data not accurately reflecting the natural variations in air temperature. This indicates that the current sensor placement is inconsistent with historical variation patterns, necessitating a warning and notification that further adjustments are needed.

[0060] Step S400: Establish a three-dimensional model of the building space to be inspected, obtain the perception set to be inspected based on the location of each sensor in the building space to be inspected and the sensor data of each sensor, and combine it with the baseline perception set to determine whether to issue an early warning prompt for the sensors in the building space to be inspected.

[0061] Step S410: Deploy at least M sensors in the building space to be inspected; obtain a first change function of each target sensor corresponding to a certain adjustment record in the building space to be inspected, and obtain a change degree of each target sensor based on each first change function, and use each change degree as a characteristic degree of each target sensor;

[0062] In this scheme, M should be determined according to the actual size of the factory. When the factory is large, the value of M should be larger for the reliability and rationality of data analysis. When the factory is small, it can be relatively small, but the value of M should not be less than 2.

[0063] According to the distance between each target sensor and the equipment adjustment part in the building space to be detected, the target sensors are sorted in the order of distance from near to far, and the perception set to be detected Y is obtained, Y = {(L1, C1), (L2, C2), ..., (L n ,C n )}, where L1, L2, …, L n are the distances between the target sensors with serial numbers 1, 2, ..., n and the adjustment parts of the equipment, C1, C2, ..., C n are the characteristic degrees of target sensors numbered 1, 2, …, n respectively;

[0064] Step S420: Establish a two-dimensional coordinate system in which the degree of feature changes with distance, extract each element in the set X and Y, and mark the coordinates of each element in the two-dimensional coordinate system, and perform fitting C=k*L+b according to the least squares method, where C is the degree of feature, L is the distance, k is the slope, and b is the intercept, and obtain the goodness of fit R obtained in the fitting process 2 , when the goodness of fit R 2 ≤k R When k R As the early warning coefficient, early warning prompts are given to the sensors in the building space to be detected.

[0065] It should be noted that the goodness of fit R 2 It is used to evaluate the degree of fit of the model to the observed data, that is, to analyze the elements in the baseline perception set and the perception set to be detected. For the deviation of the fitting C = k*L+b, when the deviation is large, it means that the data changes of the sensors in the building space to be detected are unreasonable, and it is necessary to provide timely warning prompts to the sensors in the building space to be detected. Goodness of fit R 2 The calculation process of is the existing technology, which is obtained by calculating the residual sum of squares and the total sum of squares, and will not be described in detail here.

[0066] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. An adaptive adjustment method for environmental protection equipment based on environmental perception, characterized in that: The following steps are involved: Step S100: Acquire historical adjustment records of environmental protection equipment, wherein the adjustment records are records of environmental adjustment performed by the environmental protection equipment when the sensor data detected by the sensor is not within a normal value range; Analyze changes in sensor data of the sensor in each adjustment record, and extract a first marking record from the adjustment record; Step S200: obtaining a change degree corresponding to each sensor according to the sensor data of each sensor corresponding to each adjustment record, and extracting a second marking record from the adjustment record according to the change degree; Step S300: Obtaining a feature adjustment record based on the first marking record and the second marking record; Build a three-dimensional model of the building space where the environmental protection equipment is located, mark the location of each sensor, and adjust the corresponding sensor location according to each feature to obtain a baseline perception set; Step S400: Establish a three-dimensional model of the building space to be inspected, obtain a sensor set to be inspected based on the location of each sensor in the building space to be inspected and the sensor data of each sensor, and determine whether to issue an early warning prompt for the sensors in the building space to be inspected in combination with the reference sensor set; Step S400 includes: Step S410: Deploy at least M sensors in the building space to be inspected; obtain a first change function of each target sensor corresponding to a certain adjustment record in the building space to be inspected, and obtain a change degree of each target sensor based on each first change function, and use each change degree as a characteristic degree of each target sensor; According to the distance between each target sensor and the equipment adjustment part in the building space to be detected, the target sensors are sorted in the order of distance from near to far, and the perception set to be detected Y is obtained, Y={(L1,C1),(L2,C2),…,(L n ,C n )}, where L1, L2, …, L n are the distances between the target sensors with serial numbers 1, 2, ..., n and the adjustment parts of the equipment, C1, C2, ..., C n are the characteristic degrees of target sensors numbered 1, 2, …, n respectively; Step S420: Establish a two-dimensional coordinate system in which the degree of feature changes with distance, extract each element in the set X and Y, and mark the coordinates of each element in the two-dimensional coordinate system, and perform fitting C=k*L+b according to the least squares method, where C is the degree of feature, L is the distance, k is the slope, and b is the intercept, and obtain the goodness of fit R obtained in the fitting process 2 , when the goodness of fit R 2 ≤k R When k R As the early warning coefficient, early warning prompts are given to the sensors in the building space to be detected.

2. The method for adaptively adjusting environmental protection equipment based on environmental perception according to claim 1, characterized in that: Step S100 includes: Step S110: Obtaining a normal value range (V1, V2) corresponding to the sensor data, where V1 and V2 are the minimum normal value and the maximum normal value, respectively; obtaining sensor data of all sensors in the building space where the environmental protection equipment is located, capturing the start adjustment time, end adjustment time, and target sensor corresponding to each adjustment record, wherein the target sensor is a sensor whose sensor data is outside the normal value range within a period T1 before the start adjustment time; Step S120: For all target sensors corresponding to a certain adjustment record, the function of the change in sensor data over time during the adjustment process is set as a first change function, and the function of the change in sensor data over time in a time period T2 after the adjustment is completed is set as a second change function; The middle value of the normal value range is taken as V0, a ​​certain moment in the adjustment process is taken as a, and the next moment after moment a is taken as b. If the sensor data at moment b in the first change function F1 corresponding to a target sensor is closer to V0 than the sensor data at moment a, then moment a in function F1 is marked, and then all marked moments in function F1 are obtained. If the number of marked moments in function F1 is greater than the number threshold, then a target sensor in a certain adjustment record is first marked. If all target sensors in a certain adjustment record are first marked, and the sensor data at each moment in the second change function corresponding to all target sensors are within the normal value range, then the certain adjustment record is taken as the first marked record, and all first marked records are obtained.

3. The method for adaptively adjusting environmental protection equipment based on environmental perception according to claim 2, characterized in that: Step S200 includes: Step S210: Obtain a first change function of a target sensor E corresponding to a certain adjustment record, extract all marked moments in the first change function, and summarize them to obtain a total marked duration D. The difference between the maximum sensor data and the minimum sensor data in the marked moments is used as the data difference V, thereby obtaining a change degree B = V / D of the target sensor E. Step S220: If the degree of change B is greater than a preset degree of change threshold, the target sensor E is second-marked, thereby obtaining all second-marked target sensors in a certain adjustment record; based on the degree of change of each second-marked target sensor, the variance is calculated as the adjustment value of the certain adjustment record; if the adjustment value is greater than the adjustment threshold, the certain adjustment record is recorded as the second mark, and all second-marked records are obtained.

4. The method for adaptively adjusting environmental protection equipment based on environmental perception according to claim 3, characterized in that: Step S300 includes: Step S310: If an adjustment record is both a first-marked record and a second-marked record, the adjustment record is used as a characteristic adjustment record; based on the change degrees of each target sensor corresponding to each characteristic adjustment record, all change degrees corresponding to the target sensor are added together to obtain an average value, which is used as the characteristic degree of the target sensor; Step S320: Build a three-dimensional model of the building space where the environmental protection equipment is located, and mark the equipment adjustment locations in the three-dimensional model. The equipment adjustment locations are output ports on the environmental protection equipment used to implement the environmental adjustment function, and sort the target sensors in order from closest to the equipment adjustment locations. Then establish the benchmark perception set X, X={(L1,C1),(L2,C2),…,(L m ,C m )}, where L1, L2, …, L m are the distances between the target sensors and the equipment adjustment parts, C1, C2, ..., C m are the characteristic degrees of target sensors numbered 1, 2,…, m respectively.

5. An environmental protection equipment adaptive adjustment system, configured to execute the environmental protection equipment adaptive adjustment method based on environment perception according to any one of claims 1 to 4, characterized in that: The system includes a first marked record extraction module, a second marked record extraction module, a benchmark perception set establishment module and an early warning prompt module; A first marked record extraction module is used to obtain historical adjustment records of environmental protection equipment, wherein the adjustment records are records of environmental adjustment performed by the environmental protection equipment when the sensor data monitored is not within a normal value range; Analyze changes in sensor data of the sensor in each adjustment record, and extract a first marking record from the adjustment record; A second marked record extraction module is configured to obtain, based on the sensor data of each sensor corresponding to each adjustment record, a change degree corresponding to each sensor, and extract a second marked record from the adjustment record based on the change degree; A baseline perception set establishment module: configured to obtain a feature adjustment record based on the first marked record and the second marked record; Build a three-dimensional model of the building space where the environmental protection equipment is located, mark the location of each sensor, and adjust the corresponding sensor location according to each feature to obtain a baseline perception set; Early warning module: used to establish a three-dimensional model of the building space to be inspected, obtain the perception set to be inspected based on the location of each sensor in the building space to be inspected and the sensor data of each sensor, and combine the said baseline perception set to determine whether to issue an early warning prompt for the sensors in the building space to be inspected.

6. The environmental protection equipment adaptive adjustment system according to claim 5, characterized in that: The first marked record extraction module includes a target sensor determination unit and a first marked record extraction unit; Target sensor determination unit: used to obtain sensor data from all sensors in the building space where the environmental protection equipment is located, and capture the start adjustment time, end adjustment time and target sensor corresponding to each adjustment record; The first mark record extraction unit is used to obtain all first change functions and second change functions corresponding to a certain adjustment record, and extract the first mark record from the adjustment record according to the first change function and the second change function.

7. The environmental protection equipment adaptive adjustment system according to claim 5, characterized in that: The early warning prompt module has a detection perception set establishment unit and an early warning prompt unit; The unit for establishing the set of sensory data to be detected is used to establish a three-dimensional model of the building space to be detected, and obtain the set of sensory data to be detected based on the location of each sensor in the building space to be detected and the sensor data of each sensor; Early warning prompt unit: used to determine whether to issue an early warning prompt to the sensors in the building space to be detected based on the obtained perception set to be detected and combined with the reference perception set.

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