CN117191130A - Multi-scene online temperature and humidity monitoring method and system - Google Patents
Multi-scene online temperature and humidity monitoring method and system Download PDFInfo
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Abstract
The invention provides a multi-scene online temperature and humidity monitoring method, which comprises the following steps: acquiring a scene graph of the temperature and the humidity to be acquired; simultaneously acquiring the point location information of the equipment; setting a sensor to obtain a temperature and humidity value in real time; calculating the environmental coefficient according to the real-time temperature and humidity values of each sensor; calculating the regional balance degree according to the environmental coefficients of all the equipment sites; the system for realizing the method comprises an area information acquisition module, a sensor setting module, an environment coefficient acquisition module and a control module, wherein the method and the system can accurately monitor the change of the environment temperature and humidity in real time, can judge whether equipment is required to be maintained or not more accurately, and improve maintenance efficiency and cost control; hysteresis caused by threshold control only is reduced; through the real-time monitoring of environmental parameters such as humiture, reduce the risk of equipment trouble effectively, reduce the equipment damage that environmental factor leads to.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a multi-scene online temperature and humidity monitoring method and system.
Background
With the development of society, temperature and humidity monitoring work is required in many places, for example, temperature and humidity are required to be strictly controlled in a laboratory to ensure the accuracy and safety of experiments; factories and production workshops, certain production processes require specific temperature and humidity environments to ensure production efficiency and product quality; on some factory product production lines, because products can be changed irregularly, each production device has different influences on the temperature and humidity of the environment in the production stages of different products; in a laboratory with multiple instruments, the heat dissipation performance is poor, the power is unstable, and the temperature is high, so that the laboratory is easy to strike; the conventional means in the field is to adopt constant value regulation and control when the temperature and humidity exceed a threshold value, but the method often causes huge hysteresis, so that the best regulation time is missed by the environment, and therefore, a multi-scene online temperature and humidity monitoring method is needed to carry out real-time dynamic regulation.
Disclosure of Invention
The invention provides a multi-scene online temperature and humidity monitoring method and system, which are used for realizing real-time dynamic temperature and humidity adjustment.
The invention provides a multi-scene online temperature and humidity monitoring method, which comprises the following steps:
s1, acquiring a scene graph of temperature and humidity to be acquired; simultaneously acquiring the point location information of the equipment; combining the point location information of the equipment with a field plane graph to calculate the distance between each equipment and a central point;
s2, arranging temperature and humidity sensors at the point positions of equipment needing to be provided with the sensors, and obtaining temperature and humidity values in real time; setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
s3, calculating the environmental coefficient of the position according to the real-time temperature and humidity values of each sensor;
s4, calculating the regional balance degree according to the environmental coefficients of the equipment sites; and triggering an alarm system according to the change of the regional balance degree.
Further, a multi-scene online temperature and humidity monitoring method, the S1 includes:
acquiring a scene graph of temperature and humidity to be acquired, wherein the scene graph comprises the size of a detection area and the position information of a central point of the detection area;
acquiring point location information of equipment; and combining the device point location information with the field plane graph, calculating the distance between each device and the center point, and recording the position information of the device.
Further, a multi-scene online temperature and humidity monitoring method, the S2 includes:
arranging temperature and humidity sensors at the equipment point positions, numbering the temperature and humidity sensors, and corresponding to the equipment point positions; determining the point positions of the equipment needing to be provided with the temperature and humidity sensor according to the temperature and humidity influence curve of the equipment running time and/or the temperature and humidity influence curve of the temperature and humidity on the equipment performance;
setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
the temperature and humidity sensor at the point position of the equipment is marked as a group A; the temperature and humidity sensors at the places except the point positions of the equipment are marked as B groups;
and acquiring temperature and humidity values of the point positions of the sensors in real time and uploading the temperature and humidity values to a database system.
Further, a multi-scene online temperature and humidity monitoring method, the S3 includes:
setting an observation window C with a fixed size, wherein the size is n, and each sensor point position initially comprises n temperature and humidity data points;
calculating the average value of the temperature and the humidity of the current sliding windowi=1, 2, 3..n; temperature and humidity change value i＝1，2，3...n-1；
When a new data point arrives, judging whether the data point is abnormal or not;
if it is
Or alternativelyThe data point is considered to be abnormal, and the monitoring system sends out an alarm prompt; otherwise, adding the new data point to the tail end of the sliding window, removing the earliest data point from the front end of the sliding window, and recalculating the online temperature and humidity average value and the online temperature and humidity change average value of the new observation window;
wherein T is kn+1 For new data points, T knmax For the maximum value of the previous observation window, T knmin Is the minimum of the previous observation window;
calculating the current environmental coefficient alpha of the position according to the value of the current point data point and the average value of the previous observation window;
if T kn+1 When the value is determined to be an abnormal value, β=0; if T kn+1 When the value is determined to be normal, λ=0.6, and β=0.4.
Further, a multi-scene online temperature and humidity monitoring method, the S4 includes:
calculating the current area balance Di according to the environmental coefficient of the current time point of each point;
wherein b j The distance from each point of the group A sensor to the center point of the area is set; m is the number of the sensors in the group A; alpha 1 、α 2 …α m Environmental coefficients for each point location of the group A sensor; alpha k Environmental coefficients for each point location of the group B sensor; p is the number of B group sensors; b 1 B is the distance from the first sensor point to the central point 2 B is the distance from the second sensor point to the central point m Is the distance from the mth sensor to the center point.
Further, a multi-scene online temperature and humidity monitoring method comprises the following steps:
setting an observation window C with the same size, and calculating the average value of n Dii=1, 2, 3..n; di variation value within the window +.>i＝1，2，3...n-1。
Further, a multi-scene online temperature and humidity monitoring method comprises the following steps:
new zone degree of equalization D n+1 Comparing the average value, the maximum value and/or the minimum value of the previous observation window, and selecting whether to send an alarm prompt to a background terminal by the monitoring system according to a comparison result;
if it is
Or alternatively
Wherein D is min Is the minimum value of the previous observation window, D max Is the maximum value of the previous observation window;
the monitoring system sends an alarm prompt.
The invention provides a multi-scene online temperature and humidity monitoring system, which comprises:
the regional information acquisition module is used for acquiring a scene graph of the temperature and the humidity to be acquired; simultaneously acquiring the point location information of the equipment; combining the point location information of the equipment with a field plane graph to calculate the distance between each equipment and a central point;
the sensor setting module: arranging temperature and humidity sensors at the point positions of equipment needing to be provided with the sensors, and obtaining temperature and humidity values in real time; setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
the environment coefficient acquisition module is used for: calculating the environmental coefficient of the position according to the real-time temperature and humidity values of each sensor;
and the control module is used for: calculating the regional balance degree according to the environmental coefficients of all the equipment sites; and triggering an alarm system according to the change of the regional balance degree.
The invention has the beneficial effects that: the multi-scene online temperature and humidity monitoring method and system can monitor the temperature and humidity values of the surrounding environment of the equipment in real time, and record the serial numbers and the position information of each sensor so as to facilitate analysis and processing; by combining the ground plane graph, the equipment point location information and the environmental coefficient calculation method, the distance between each equipment and the center point can be accurately calculated, the area balance degree is calculated, and errors caused by temperature and humidity changes at different positions are effectively avoided; the alarm system can be automatically triggered by calculating the change of the regional balance degree, so that a manager can timely process possible problems, and the normal operation of equipment is ensured; because the environmental temperature and humidity changes can be accurately and real-timely monitored, whether equipment needs to be maintained can be accurately judged, so that the maintenance efficiency and the cost control are improved; hysteresis caused by threshold control only is reduced; through the real-time monitoring of environmental parameters such as humiture, the risk of equipment failure can be effectively reduced to reduce equipment damage because environmental factors such as humiture lead to.
Drawings
FIG. 1 is a schematic diagram of a multi-scenario on-line temperature and humidity monitoring method according to the present invention;
fig. 2 is a schematic diagram of a multi-scenario online temperature and humidity monitoring system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment provides a multi-scene online temperature and humidity monitoring method, which comprises the following steps:
s1, acquiring a scene graph of temperature and humidity to be acquired; simultaneously acquiring the point location information of the equipment; combining the point location information of the equipment with a field plane graph to calculate the distance between each equipment and a central point;
s2, arranging temperature and humidity sensors at the point positions of equipment needing to be provided with the sensors, and obtaining temperature and humidity values in real time; setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
s3, calculating the environmental coefficient of the position according to the real-time temperature and humidity values of each sensor;
s4, calculating the regional balance degree according to the environmental coefficients of the equipment sites; and triggering an alarm system according to the change of the regional balance degree.
The working principle and the effect of the technical scheme are as follows: by the multi-scene online temperature and humidity monitoring method, temperature and humidity values of surrounding environments of equipment can be monitored in real time, and the serial numbers and position information of each sensor are recorded so as to be convenient for analysis and processing; by combining the ground plane graph, the equipment point location information and the environmental coefficient calculation method, the distance between each equipment and the center point can be accurately calculated, the area balance degree is calculated, and errors caused by temperature and humidity changes at different positions are effectively avoided; the alarm system can be automatically triggered by calculating the change of the regional balance degree, so that a manager can timely process possible problems, and the normal operation of equipment is ensured; because the environmental temperature and humidity changes can be accurately and real-timely monitored, whether equipment needs to be maintained can be accurately judged, so that the maintenance efficiency and the cost control are improved; hysteresis caused by threshold control only is reduced; through the real-time monitoring of environmental parameters such as humiture, the risk of equipment failure can be effectively reduced to reduce equipment damage because environmental factors such as humiture lead to.
The embodiment relates to a multi-scene online temperature and humidity monitoring method, wherein the S1 includes:
acquiring a scene graph of temperature and humidity to be acquired, wherein the scene graph comprises the size of a detection area and the position information of a central point of the detection area;
acquiring point location information of equipment; and combining the device point location information with the field plane graph, calculating the distance between each device and the center point, and recording the position information of the device.
The working principle and the effect of the technical scheme are as follows: the scene graph which comprises the size of the detection area and the position information of the center point of the detection area is obtained, the size and the position of the area which needs to be detected can be accurately determined, and the temperature and humidity acquisition equipment is arranged according to the size and the position information of the area, so that more accurate temperature and humidity detection and data collection are realized; acquiring equipment point location information, combining the equipment point location information with a field plane graph to calculate the distance between each equipment and a central point, and recording the position information of the equipment; by calculating the distance between each device and the center point and recording the position information of each device, the distribution condition and the temperature and humidity change trend of the devices can be quickly known, so that the detection efficiency and accuracy are improved; by accurately positioning the detection area and the equipment point location, unnecessary detection can be effectively avoided, thereby reducing detection cost and time consumption.
The embodiment relates to a multi-scene online temperature and humidity monitoring method, wherein the step S2 includes:
arranging temperature and humidity sensors at the equipment point positions, numbering the temperature and humidity sensors, and corresponding to the equipment point positions; determining the point positions of the equipment needing to be provided with the temperature and humidity sensor according to the temperature and humidity influence curve of the equipment running time and/or the temperature and humidity influence curve of the temperature and humidity on the equipment performance; if the device is operating with a temperature effect of more than 1 ℃ or a humidity effect of more than 1% in the surrounding 1 cubic meter; or within some environmental thresholds, such as an experimental environment of 1-10 ℃, temperature changes exceeding 1 ℃ or humidity changes by 1%, and influences on equipment performance by exceeding 1.5%; setting a temperature and humidity sensor at the point position of the equipment; the position height of the temperature and humidity sensor is 1/2 of the height of the equipment;
setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors; such as a window rest position, a relatively personnel intensive area; temperature and humidity sensors are respectively arranged on the wall surfaces with the height of 1 meter and the height of 2 meters from the ground in the area;
the temperature and humidity sensor at the point position of the equipment is marked as a group A; the temperature and humidity sensors at the places except the point positions of the equipment are marked as B groups;
and acquiring temperature and humidity values of the point positions of the sensors in real time and uploading the temperature and humidity values to a database system.
The working principle and the effect of the technical scheme are as follows: the temperature and humidity values of the points where the sensors are located can be obtained in real time and uploaded to a database system by arranging the temperature and humidity sensors at the point locations of the equipment and recording the numbers and the position information, and arranging a plurality of groups of temperature and humidity sensors at the places except the point locations of the equipment and recording the position information, so that the data accuracy is improved; by arranging the temperature and humidity sensors at the equipment point positions and other places than the equipment point positions, the temperature and humidity change condition of the surrounding environment of the equipment can be comprehensively monitored, and abnormal conditions can be timely found and processed correspondingly. Through the temperature and humidity change condition of real-time supervision equipment point position, can improve the fortune dimension efficiency and the accuracy of equipment, in time discover equipment trouble to repair or change, thereby avoid equipment life-span to shorten or produce unnecessary loss. Determining the equipment point positions needing to be provided with the temperature and humidity sensor by recording the temperature and humidity influence curve of the equipment operation time and/or the temperature and humidity influence curve of the temperature and humidity on the equipment performance, optimizing the data acquisition and the operation and maintenance strategy of the equipment, acquiring the equipment point positions insensitive to the temperature and humidity without setting the sensor, and reducing the data quantity; setting a temperature and humidity acquisition device at the equipment point position sensitive to temperature and humidity changes; the temperature and humidity near the point position can be monitored in real time, the operation and maintenance strategy of the equipment is optimized, the service life and the management efficiency of the equipment are improved, if the influence of the equipment operation on the temperature and humidity is relatively large, the temperature and humidity sensor is arranged at the point position of the equipment to serve as an acquisition point of the environmental temperature, the environmental temperature can be acquired more accurately, the temperature and humidity change condition of the surrounding environment is monitored in real time, the data are recorded, the safety of the equipment and personnel can be effectively ensured, and the problems of accidents, loss and the like caused by environmental factors are avoided.
The multi-scene online temperature and humidity monitoring method is characterized in that the step S3 includes:
setting an observation window C with a fixed size, wherein the size is n, and each sensor point position initially comprises n temperature and humidity data points;
calculating the average value of the temperature and the humidity of the current sliding windowi=1, 2, 3..n; temperature and humidity change value i=1, 2, 3..n-1; here T ki >0, if the test result is less than zero, each sampled data point is added with a fixed constant to make T ki >0; the temperature and humidity can be understood as temperature, humidity and whole;
when a new data point arrives, judging whether the data point is abnormal or not;
if it is
Or alternativelyThe data point is considered to be abnormal, and the monitoring system sends out an alarm prompt; otherwise, adding the new data point to the tail end of the sliding window, removing the earliest data point from the front end of the sliding window, and recalculating the online temperature and humidity average value and the online temperature and humidity change average value of the new observation window;
wherein T is kn+1 For new data points, T knmax For the maximum value of the previous observation window, T knmin Is the minimum of the previous observation window; the background terminal checks equipment problems according to alarm promptsOr sensor problems, checking the equipment if the equipment temperature is abnormal, and repairing or replacing the sensor if the sensor is abnormal; and after returning to normal, adding a new test point to the tail of the observation window.
The working principle and the effect of the technical scheme are as follows: by calculating the temperature and humidity variation value of the sliding window in real time, abnormal temperature and humidity points can be quickly found, and the equipment can be timely processed, so that the running safety and stability of the equipment are ensured; the temperature and humidity state of the current observation window is judged by taking the average value of n points, so that temperature and humidity fluctuation in a short time can be eliminated, and the accuracy of data is improved, thereby ensuring the effectiveness and reliability of data monitoring; if the system is abnormal, the system can send out an alarm prompt, and then the background terminal can quickly find out the position of the problem according to the alarm prompt, so that the problem processing efficiency is improved. The sliding window mode is used, so that the real-time performance and the high precision can be achieved; in a word, the multi-scene online temperature and humidity monitoring method can comprehensively monitor the temperature and humidity state by setting an observation window, calculating an average value, judging abnormal points and the like, ensure the normal operation of equipment and improve the working efficiency and the management efficiency of the equipment. Meanwhile, the method has the characteristics of simplicity, rapidness and high precision, can give consideration to real-time performance and reliability, and reduces false alarm rate to the greatest extent; meanwhile, if the new test point is larger than the maximum value of the previous observation window and the difference between the new test point and the maximum value of the previous observation window is larger than the average change value plus the maximum value minimum value, the difference is only 1/n; or the new test point is smaller than the minimum value of the previous observation window and the difference between the new test point and the maximum value of the previous observation window is larger than the average change value plus the maximum value minimum value by only 1/n; the monitoring point is judged to be an abnormal point, the abnormality can be timely and accurately judged through the method, then the background terminal can quickly find out the problem according to the alarm prompt, and the problem processing efficiency is improved.
The embodiment provides a multi-scene online temperature and humidity monitoring method, which comprises the following steps:
calculating the current environmental coefficient alpha of the position according to the value of the current point data point and the average value of the previous observation window;
if T kn+1 When the value is determined to be an abnormal value, β=0; if T kn+1 When the value is determined to be normal, λ=0.6, and β=0.4.
Calculating the current area balance Di according to the environmental coefficient of the current time point of each point;
wherein b j The distance from each point of the group A sensor to the center point of the area is set; m is the number of the sensors in the group A; alpha 1 、α 2 …α m Environmental coefficients for each point location of the group A sensor; alpha k Environmental coefficients for each point location of the group B sensor; p is the number of B group sensors; b 1 B is the distance from the first sensor point to the central point 2 B is the distance from the second sensor point to the central point m Is the distance from the mth sensor to the center point.
The technical scheme has the following working principle and effect: the degree of equalization of the whole area can be obtained by calculating the environmental coefficients of different points and weighting the average according to the distances from the environmental coefficients to the center point. Thus, people can know the distribution condition of indoor air quality, find out the place with unbalanced temperature and humidity, and take measures to adjust; by monitoring the indoor environment and judging the temperature and humidity abnormality in time, adjustment measures can be taken, so that the indoor environment is more comfortable and healthy; this is favorable to improving personnel's comfort level and work efficiency, reduces disease transmission, ensures life health. The optimization of the indoor environment can enable the air conditioning system to be more intelligent, fine regulation and control are carried out on the indoor environment, the consumption of energy consumption is reduced, and the cost is saved; the intelligent management of the indoor environment can be realized by monitoring the temperature and the humidity in real time through the sensor and combining a window sliding algorithm and an environment coefficient calculation method, and the equipment management efficiency is improved. In a word, the method adopts various technical means, monitors indoor temperature and humidity in real time through a plurality of sensors, calculates environmental coefficients of different points according to a calculation formula, and finally evaluates the balance degree of the whole area so as to intelligently manage, regulate and optimize the indoor environment. Therefore, the equipment management efficiency can be improved, the energy consumption is reduced, and the equipment is more comfortable and healthy. The value of the current sampling point and the average value of the previous observation window are weighted and averaged to obtain the environmental coefficient of the current sampling point, so that the result is more accurate, the objectivity caused by singly using the current point is avoided, meanwhile, if the current point is judged to be abnormal in the previous step, the current weight coefficient is 0, the environmental coefficient is calculated only by the average value of the previous observation window, the inaccuracy of the calculation result caused by the abnormal condition is avoided, meanwhile, the current sampling point alarms, and the environmental coefficient of the point is recalculated according to the normal value after the background inspection regulation and control is recovered to be normal; the formula utilizes the sensor data at the equipment point positions, the sensor data at other point positions and the calculation of environmental coefficients to accurately evaluate the temperature and humidity distribution condition and the balance degree of the current area. Therefore, the places with unbalanced temperature and humidity can be found in time, and adjustment measures are adopted to make the places more comfortable and healthy; parameters lambda and beta in the formula can be adaptively adjusted, so that reasonable and accurate treatment can be given to abnormal values and normal values, and meanwhile, the evaluation result is more real and reliable; the formula considers the multi-sensor data from different points, so that the actual environment condition of the whole area can be better reflected, and the evaluation result is more accurate; the formula adopts a sliding window algorithm, and the environmental coefficient of the current position is calculated by the average value of the previous observation window while continuously updating data, so that the discontinuity of data updating is avoided, and the evaluation efficiency is improved.
The embodiment provides a multi-scene online temperature and humidity monitoring method, which comprises the following steps:
setting an observation window C with the same size, and calculating the average value of n Dii=1, 2, 3..n; di variation value within the window +.>i＝1，2，3...n-1。
New zone degree of equalization D n+1 Comparing the average value, the maximum value and/or the minimum value of the previous observation window, and selecting whether to send an alarm prompt to a background terminal by the monitoring system according to a comparison result;
if it is
Or alternatively
Wherein D is min Is the minimum value of the previous observation window, D max Is the maximum value of the previous observation window;
the monitoring system sends out an alarm prompt, and the operation of the ventilation dehumidification equipment and the like is adjusted according to the prompt.
The working principle and the effect of the technical scheme are as follows: the method can compare the calculated new area balance with the average value, the maximum value and the minimum value of the previous observation window after each time, thereby timely detecting the unbalanced condition of the area; the method only needs to calculate the average value, the maximum value and the minimum value in each observation window, compares the average value, the maximum value and the minimum value with the current new area balance degree, and can judge whether an alarm prompt is needed or not more accurately through calculation of the change value, so that the method is very efficient and quick. The method adopts an adaptive mode to judge, and can give out reasonable and accurate alarm prompts for the equalization conditions of different areas, so that the method has good adaptability. According to the method, the reasonable threshold value is set, and the average value, the maximum value and the minimum value of the previous observation window are compared, so that the false alarm rate can be effectively reduced, and unnecessary interference and trouble are avoided. Equation first partRepresents an average value of the degree of equalization of the history area, a portion of the current maximum threshold variable; if the new area balance exceeds the average value of the area balance and the threshold variable is added, an alarm prompt is triggered; />For one part of the current minimum threshold variable, the method is used for considering the minimum value existing in the historical region balance degree, and the average value and the change trend of the historical region balance degree; when the new area balance is lower than the average value of the area balance and the threshold variable is subtracted, the alarm prompt is triggered, and the reasonable threshold is set by the formula, so that the false alarm rate can be effectively reduced, and unnecessary interference and trouble are avoided.
The embodiment relates to a multi-scene online temperature and humidity monitoring system, which comprises:
the regional information acquisition module is used for acquiring a scene graph of the temperature and the humidity to be acquired; simultaneously acquiring the point location information of the equipment; combining the point location information of the equipment with a field plane graph to calculate the distance between each equipment and a central point;
the sensor setting module: arranging temperature and humidity sensors at the point positions of equipment needing to be provided with the sensors, and obtaining temperature and humidity values in real time; setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
the environment coefficient acquisition module is used for: calculating the environmental coefficient of the position according to the real-time temperature and humidity values of each sensor;
and the control module is used for: calculating the regional balance degree according to the environmental coefficients of all the equipment sites; and triggering an alarm system according to the change of the regional balance degree.
The working principle and the effect of the technical scheme are as follows: by the multi-scene online temperature and humidity monitoring method, temperature and humidity values of surrounding environments of equipment can be monitored in real time, and the serial numbers and position information of each sensor are recorded so as to be convenient for analysis and processing; by combining the ground plane graph, the equipment point location information and the environmental coefficient calculation method, the distance between each equipment and the center point can be accurately calculated, the area balance degree is calculated, and errors caused by temperature and humidity changes at different positions are effectively avoided; the alarm system can be automatically triggered by calculating the change of the regional balance degree, so that a manager can timely process possible problems, and the normal operation of equipment is ensured; because the environmental temperature and humidity changes can be accurately and real-timely monitored, whether equipment needs to be maintained can be accurately judged, so that the maintenance efficiency and the cost control are improved; hysteresis caused by threshold control only is reduced; through the real-time monitoring of environmental parameters such as humiture, the risk of equipment failure can be effectively reduced to reduce equipment damage because environmental factors such as humiture lead to.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. The multi-scene online temperature and humidity monitoring method is characterized by comprising the following steps of:
s1, acquiring a scene graph of temperature and humidity to be acquired; simultaneously acquiring the point location information of the equipment; combining the point location information of the equipment with a field plane graph to calculate the distance between each equipment and a central point;
s2, arranging temperature and humidity sensors at the point positions of equipment needing to be provided with the sensors, and obtaining temperature and humidity values in real time; setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
s3, calculating the environmental coefficient of the position according to the real-time temperature and humidity values of each sensor;
s4, calculating the regional balance degree according to the environmental coefficients of the equipment sites; and triggering an alarm system according to the change of the regional balance degree.
2. The multi-scene online temperature and humidity monitoring method according to claim 1, wherein S1 comprises:
acquiring a scene graph of temperature and humidity to be acquired, wherein the scene graph comprises the size of a detection area and the position information of a central point of the detection area;
acquiring point location information of equipment; and combining the device point location information with the field plane graph, calculating the distance between each device and the center point, and recording the position information of the device.
3. The multi-scene online temperature and humidity monitoring method according to claim 1, wherein the step S2 comprises:
arranging temperature and humidity sensors at the equipment point positions, numbering the temperature and humidity sensors, and corresponding to the equipment point positions; determining the point positions of the equipment needing to be provided with the temperature and humidity sensor according to the temperature and humidity influence curve of the equipment running time and/or the temperature and humidity influence curve of the temperature and humidity on the equipment performance;
setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
the temperature and humidity sensor at the point position of the equipment is marked as a group A; the temperature and humidity sensors at the places except the point positions of the equipment are marked as B groups;
and acquiring temperature and humidity values of the point positions of the sensors in real time and uploading the temperature and humidity values to a database system.
4. The multi-scene online temperature and humidity monitoring method according to claim 1, wherein the step S3 comprises:
setting an observation window C with a fixed size, wherein the size is n, and each sensor point position initially comprises n temperature and humidity data points;
calculating the current sliding windowAverage temperature and humidityTemperature and humidity change value
When a new data point arrives, judging whether the data point is abnormal or not;
if it is
Or alternativelyThe data point is considered to be abnormal, and the monitoring system sends out an alarm prompt; otherwise, adding the new data point to the tail end of the sliding window, removing the earliest data point from the front end of the sliding window, and recalculating the online temperature and humidity average value and the online temperature and humidity change average value of the new observation window;
wherein T is kn+0 For new data points, T knmax For the maximum value of the previous observation window, T knmin Is the minimum of the previous observation window.
5. The multi-scene online temperature and humidity monitoring method according to claim 4, wherein the method comprises:
calculating the current environmental coefficient alpha of the position according to the value of the current point data point and the average value of the previous observation window;
if T kn+1 When the value is determined to be an abnormal value, β=0; if T kn+1 When the value is determined to be normal, λ=0.6, and β=0.4.
6. The multi-scene online temperature and humidity monitoring method according to claim 5, wherein S4 comprises:
calculating the current area balance Di according to the environmental coefficient of the current time point of each point;
wherein b j The distance from each point of the group A sensor to the center point of the area is set; m is the number of the sensors in the group A; alpha 1 、α 2 …α m Environmental coefficients for each point location of the group A sensor; alpha k Environmental coefficients for each point location of the group B sensor; p is the number of B group sensors; b 1 B is the distance from the first sensor point to the central point 2 B is the distance from the second sensor point to the central point m Is the distance from the mth sensor to the center point.
7. The multi-scene online temperature and humidity monitoring method according to claim 6, wherein the method comprises:
setting an observation window C with the same size, and calculating the average value of n DiDi variation value within the window +.>
8. The multi-scene online temperature and humidity monitoring method according to claim 1, wherein the method comprises the following steps:
new zone degree of equalization D n+1 In comparison with the average, maximum and/or minimum of the preceding observation window, according to the comparisonComparing the result, the monitoring system selects whether to send an alarm prompt to the background terminal;
if it is
Or alternatively
Wherein D is min Is the minimum value of the previous observation window, D max Is the maximum value of the previous observation window;
the monitoring system sends an alarm prompt.
9. A multi-scenario online temperature and humidity monitoring system, the system comprising:
the regional information acquisition module is used for acquiring a scene graph of the temperature and the humidity to be acquired; simultaneously acquiring the point location information of the equipment; combining the point location information of the equipment with a field plane graph to calculate the distance between each equipment and a central point;
the sensor setting module: arranging temperature and humidity sensors at the point positions of equipment needing to be provided with the sensors, and obtaining temperature and humidity values in real time;
setting a plurality of groups of temperature and humidity sensors in the areas except for the point positions of the equipment, and recording the numbers and the position information of the sensors;
the environment coefficient acquisition module is used for: calculating the environmental coefficient of the position according to the real-time temperature and humidity values of each sensor;
and the control module is used for: calculating the regional balance degree according to the environmental coefficients of all the equipment sites; and triggering an alarm system according to the change of the regional balance degree.
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