A distributed temperature / humidity adjustment method and system

Abstract

The present invention belongs to the technical field of temperature and humidity control, and provides a distributed temperature / humidity adjustment method, including the steps of: marking the distributed arrangement of the adjustment devices; mapping the marks to a matrix, and numbering the adjustment devices mapped in the matrix; querying the closest temperature / humidity trend curve in the database according to the weather forecast data in a preset time period, and starting the adjustment device numbered in the matrix mapped to the density value corresponding to the curve and its multiple; increasing or decreasing the number of working devices of the adjustment device by measuring the ambient temperature / humidity in real time through a sensor; and displaying the working information of the adjustment device through a matrix. The present invention also provides a distributed temperature / humidity adjustment system, and the advantage of the present invention is that the distribution of the adjustment device is abstracted into a two-dimensional matrix, and the user can know the relative position of the adjustment device through the matrix, and can see the working status of the adjustment device through the matrix elements.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature and humidity control, and in particular to a distributed temperature / humidity adjustment method and system. Background Art

[0002] With the rapid development of science and technology, people's living standards are getting higher and higher. In order to meet people's increasing living needs, it is very important to regulate the environment such as temperature and humidity. Plants grow in a certain environment and are affected by various environmental factors during the growth process, among which temperature and humidity have the greatest impact. If the temperature and humidity vary greatly during the day and night, it is extremely unfavorable for plant growth. Therefore, in agricultural planting, an intelligent temperature and humidity monitoring system is used to monitor and control temperature and humidity to make it suitable for plant growth and improve its yield and quality.

[0003] Developing cash crops under forests is an effective way to get rich. However, the first problem faced by forest planting is that the temperature and humidity microenvironment of most forests are not directly suitable for crop growth; how to artificially intervene in the microenvironment of the forest to make it suitable for crop growth, that is, to ensure that the microenvironment for planting has appropriate temperature and humidity conditions throughout the year is the first problem to be solved. Summary of the invention

[0004] The object of the present invention is to provide a distributed temperature / humidity adjustment method and system to solve the problem of adaptively adjusting the temperature / humidity of the crop growth microenvironment;

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] A distributed temperature / humidity adjustment method, comprising the steps of:

[0007] Mark the distributed arrangement of regulating devices;

[0008] Mapping the marks to the matrix in row and column order, so that the positions of the marks in the matrix are mapped to the actual geographical locations in row and column order, and at the same time, the adjustment devices mapped in the matrix are numbered in natural numbers starting from 1 in row or column order in a serpentine arrangement manner;

[0009] According to the weather forecast data within the preset time period, the closest temperature / humidity trend curve stored in the database is searched, and the regulating device numbered in the matrix at the position mapped by the predicted activation regulating device density value corresponding to the trend curve is activated;

[0010] The microenvironment temperature / humidity is measured in real time by a sensor, and a decision is made whether to increase or decrease the density value of the regulating device based on the calculated differential data of the measured value and its short-term extrapolation prediction, and the mark of the start-up state of the regulating device is modified at the position of the matrix element corresponding to the mapping of the regulating device;

[0011] The current start-up or non-start-up state information of the regulating device is displayed in a visual form through the 1 or 0 state corresponding to the corresponding initial number position of the matrix.

[0012] Furthermore, the step of establishing the database includes:

[0013] Obtain weather forecast data within a preset historical time period and sensor measurement data within the same time period;

[0014] Calculate the deviation and deviation change rate of the acquired weather forecast data and sensor measurement data, learn the characteristics of their deviation and deviation change rate, form the deviation correction law and temperature / humidity trend curve after prediction and correction, and store them in the database;

[0015] A comparative test of the density of the start-up regulating device is performed on multiple areas of preset climate conditions under different temperature / humidity requirements at the same time, and a predicted value of the density of the start-up regulating device corresponding to the temperature / humidity value is obtained and stored in a database.

[0016] Further, the step of querying the predicted density value of the start regulating device in the database includes:

[0017] Get weather forecast data within a preset time period;

[0018] Inputting the weather forecast data into the database in the format of data stored in the database;

[0019] The weather forecast data is searched for the day closest to the temperature / humidity trend curve stored in the database, so as to obtain the activation regulating device density value corresponding to the day closest to the temperature / humidity trend curve.

[0020] Furthermore, the specific method of activating the regulating device at the mapped position according to the predicted activation regulating device density value is as follows:

[0021] Taking the density value of all odd-numbered regulating devices turned on as the reference, the current regulating device density reference value is compared with the predicted activated regulating device density value;

[0022] If the current density value of the regulating device is greater than the predicted density value of the activated regulating device, the number of the regulating devices with odd numbers in the matrix is ​​reduced by the interval of the element numbers in the matrix, so that the current density value of the regulating device is within the preset error range of the predicted density value of the activated regulating device, and the activated regulating devices are ensured to be evenly distributed in the area;

[0023] If the current adjustment device density value is less than the predicted start-up adjustment device density value, the working number of the even-numbered adjustment devices in the matrix is ​​increased by spacing the element numbers in the matrix, so that the current adjustment device density value is within the preset error range of the predicted start-up adjustment device density value, and ensure that the started adjustment devices are evenly distributed in the area.

[0024] Furthermore, the step of adjusting the number of regulating devices according to the current microenvironment temperature / humidity measured in real time by the sensor includes:

[0025] The current temperature / humidity is measured in real time by sensors;

[0026] Make a decision based on the calculated difference data of the measured value and its short-term extrapolation prediction to determine the optimal density value of the regulating device;

[0027] The density value of the regulating device is adjusted in an interval manner according to the number of elements in the matrix, so that the error between the adjusted density value of the regulating device and the optimal density value of the regulating device is within a preset range.

[0028] Furthermore, the method of starting the regulating device at the mapped position according to the predicted activation regulating device density value is specifically as follows: starting the regulating device at the mapped position of the predicted activation regulating device density value and its positive integer multiples.

[0029] Furthermore, the step of adjusting the number of adjustment devices according to the current ambient temperature / humidity measured in real time by the sensor includes:

[0030] The current temperature / humidity is measured in real time by sensors;

[0031] Make a decision on whether to adjust the density value of the regulating device based on the calculated differential data and its short-term extrapolated prediction;

[0032] If the density value of the regulating device needs to be adjusted, a modulo operation is performed between the regulating device number and the density value of the currently activated regulating device;

[0033] The density value of the regulating device is increased or decreased in a preset manner according to the remainder obtained from the modular operation.

[0034] Furthermore, the method of increasing the density value of the regulating device each time is as follows: the remainders obtained after the modular operation are arranged in sequence, the midpoint value is found by binary search, the regulating device numbered corresponding to the midpoint value is started, and the density value of the currently started regulating device is updated.

[0035] Furthermore, the method of reducing the density value of the adjustment device is to turn off the adjustment device with a number corresponding to the product of the square of the density value and a natural number starting from 1.

[0036] The present invention also aims to provide a distributed temperature / humidity adjustment system, comprising:

[0037] A plurality of adjustment devices are evenly distributed in a preset space;

[0038] The host computer is used to obtain weather forecast data and input it into the database;

[0039] The sensor module is used to measure the real-time ambient temperature / humidity and send the collected real-time ambient temperature / humidity data to the control module;

[0040] A control module, wherein the database is provided in the control module, and the control module is used to turn on or off the regulating device according to the database and the real-time ambient temperature / humidity data;

[0041] A regulating device status acquisition module, used for acquiring the working status of the regulating device and sending it to the control module;

[0042] The display module is used to display the working information of the regulating device in a matrix form.

[0043] Compared with the prior art, the present invention has at least the following beneficial effects:

[0044] (1) The distribution of the regulating devices is abstracted into a two-dimensional matrix, that is, a one-to-one mapping relationship can be established between the positions of the regulating devices and the matrix, and the relative positions of the regulating devices can be reflected. The working status of the regulating devices can be represented by the matrix elements in the matrix, and the user can see the working status of the regulating devices at different positions through the matrix, and the working information of the regulating devices can be displayed to the user in a visual manner;

[0045] (2) The present invention finds the corresponding density value of the regulating device by comparing the current weather forecast data with the database data, so that the control area can quickly reach the expected temperature / humidity, and the density of the regulating device is uniform, and no local overheating or overcooling occurs. In addition, the present invention also fine-tunes the density of the regulating device through the data of the real-time sensor to achieve the temperature / humidity that is most suitable for the crop growth environment.

[0046] (3) The present invention obtains the deviation law between meteorological data and measured data by studying historical meteorological data in combination with sensor measured data. At the same time, through the test experiment of the density of the adjustment device, the temperature / humidity result most suitable for the crop growth environment (i.e., the density value of the adjustment device) is associated with the above-mentioned deviation law, and then a corresponding database is established, which facilitates the direct acquisition of the most suitable density value through the database. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is an overall flow chart of a distributed temperature / humidity adjustment method of the present invention;

[0048] Figure 2 It is a schematic diagram of the grid division of the control area, the grid layout of the regulating device and the mapping matrix of the regulating device in the present invention;

[0049] Figure 3 is a flowchart of the steps of establishing a database in an embodiment of the present invention;

[0050] Figure 4 is a flow chart of the steps of querying density values ​​from a database in an embodiment of the present invention;

[0051] Figure 5 is a schematic diagram of a method of starting the regulating device in the first embodiment of the present invention;

[0052] Figure 6 is a flowchart of the steps for accurately adjusting the number and position of the adjustment devices in the first embodiment of the present invention;

[0053] Figure 7 is a schematic diagram of displaying the current startup or non-startup status information of the adjustment device in an embodiment of the present invention;

[0054] Figure 8 is a flow chart of the steps for accurately adjusting the number and position of the adjusting devices in the second embodiment of the present invention;

[0055] Fig. 9 It is a schematic diagram of the framework of a distributed temperature / humidity adjustment system of the present invention. DETAILED DESCRIPTION

[0056] The following are specific embodiments of the present invention, and the technical solutions of the present invention are further described in conjunction with the accompanying drawings, but the present invention is not limited to these embodiments.

[0057] Embodiment 1

[0058] like Figure 1 As shown, the present invention provides a distributed temperature / humidity adjustment method, comprising the steps of:

[0059] A1. Mark the distributed adjustment devices.

[0060] A2. Map the marks to the matrix in row and column order, so that the position of the marks in the matrix is ​​mapped to the actual geographical location in row and column order. At the same time, the adjustment devices mapped in the matrix are numbered in natural numbers starting from 1 in row or column order through a serpentine arrangement.

[0061] like Figure 2 As shown, the area where the regulating devices are distributed (i.e., the control area) is first gridded, and then the positions of the regulating devices are tabulated. According to the mapping, a regulating device working state matrix corresponding to the positions of the regulating devices can be obtained. In the matrix, element 1 indicates that the regulating device is in the on state, and element 0 indicates that the regulating device is in the off state. The numbering of the regulating devices mapped in the matrix is ​​arranged in a serpentine manner. The purpose is to make the numbers of the elements on the diagonal of the matrix odd or even, so as to facilitate obtaining the position suitable for the regulating device to be turned on.

[0062] A3. According to the weather forecast data within the preset time period, the closest temperature / humidity trend curve stored in the database is queried, and the regulating device numbered in the matrix at the position mapped by the predicted activation regulating device density value corresponding to the trend curve is activated.

[0063] The regulating device comprises a temperature regulating device and a humidity regulating device. The temperature regulating device is a heating furnace, which can be a biomass fuel combustion furnace or an electric heating furnace. The humidity regulating device is a spray device.

[0064] Further, such as Figure 3 As shown, the steps of establishing a database include:

[0065] B1. Obtain weather forecast data within a preset historical time period and sensor measurement data within the same time period;

[0066] B2. Calculate the deviation and deviation change rate of the acquired weather forecast data and sensor measurement data, learn the deviation and deviation change rate characteristics, form the deviation correction law and temperature / humidity trend curve after prediction correction, and store them in the database;

[0067] B3. Perform comparative tests on the density of the start-up regulating device under different temperature / humidity requirements in multiple areas with almost identical climatic conditions, obtain predicted values ​​of the density of the start-up regulating device corresponding to the temperature / humidity value, and store them in a database.

[0068] The present invention obtains the deviation law between meteorological data and measured data by studying historical meteorological data in combination with sensor measured data. At the same time, through the test experiment of the density of the adjustment device, the temperature / humidity results most suitable for the crop growth environment (i.e., the density value of the adjustment device) are associated with the above-mentioned deviation law, and then a corresponding database is established, which is convenient for directly obtaining the most suitable density value through the database.

[0069] In addition, in order to prevent the heat generated by the heating furnace from affecting the temperature / humidity values ​​measured by the sensor in the deviation law, it is necessary to conduct independent tests in another adjacent area that will not cause any impact, that is, the two test areas are different, but need to belong to the same local area and have almost exactly the same climatic characteristics.

[0070] At the same time, it should be noted that the cloudy or sunny weather will also affect the rise and fall of temperature as well as the speed and amplitude of the rise and fall. Therefore, the study of deviation rules is not limited to the static calculation of the static difference between the temperature in the weather forecast and the measured temperature. In-depth learning is also required according to different weather conditions, such as day, night, cloudy, sunny, current time, etc., using differential information such as the amplitude of temperature rise and fall, the speed of temperature rise and fall, so that the data obtained from learning is a hypersurface, which is represented by multi-dimensional coordinates or vectors. In the hypersurface, the density value is used as the vertical axis, and the preliminary density value is obtained through multi-dimensional information, which enables the control area to quickly reach the expected temperature / humidity, and the density of the adjustment device is uniform, and no local overheating or overcooling will occur.

[0071] Since it is impossible to obtain complete experimental data of the sample space through experiments before actual application, the density value of the adjustment device used in the initial stage of the actual application process is not accurate enough. It is necessary to store the data obtained from each subsequent operation in the database for learning and iteratively updating the database until the density value of the adjustment device tends to be stable within the specified temperature / humidity error limit, that is, the density value after several consecutive operations is within the allowable error range. In this way, the redundant sample values ​​are discarded to avoid the expansion of the sample space and cause the calculation speed to be too slow.

[0072] like Figure 4 As shown, after the corresponding database is established, the steps of querying the density value from the database include:

[0073] C1. Obtain weather forecast data within a preset time period;

[0074] C2. inputting the weather forecast data into the database in the format of data stored in the database;

[0075] C3. Find the day closest to the temperature / humidity trend curve stored in the database between the weather forecast data and the temperature / humidity trend curve, so as to obtain the activation adjustment device density value corresponding to the day closest to the temperature / humidity trend curve.

[0076] When in use, the weather forecast data information found before turning on the regulating device can be input into the database in the form of one data per hour, and automatically matched with the data stored in the database through calculation, that is, which day's data in the database is closest to the found weather forecast data.

[0077] In the matching operation process, the method used is to calculate the similarity between the weather forecast data and the corresponding data in the database through distance, that is, the calculation is performed using the following formula:

[0078]

[0079] Where J is the distance function, representing the similarity. Considering the large inertia of the temperature / humidity system, its minimum value can represent that the weather forecast data and the corresponding data in the database are most similar; x = (x1, x2, ... x n ), y=(y1,y2,……y n ) are the data of each point in the weather forecast and the data of the corresponding point in the database.

[0080] The day with the highest similarity is the historical data closest to the current weather forecast data. The most suitable density value under the historical data corresponding to the historical data is used to obtain the most suitable interval for opening the regulating device, that is, the density value (converted into percentage).

[0081] In actual application, the row spacing density and column spacing density can also be tested first, and the row and column spacing density can be stored in the database as the most appropriate associated data corresponding to the historical data.

[0082] Furthermore, the specific method of activating the regulating device at the mapped position according to the predicted activation regulating device density value is as follows:

[0083] Taking the density value of all odd-numbered regulating devices turned on as a reference, the current regulating device density reference value is compared with the predicted activated regulating device density value;

[0084] If the current adjustment device density value is greater than the predicted activation adjustment device density value, the number of adjustment devices with odd numbers in the matrix is ​​reduced by the interval of the element numbers in the matrix, so that the current adjustment device density value is within the preset range of the predicted activation adjustment device density value (i.e., it contains a certain error range), and the activated adjustment devices are evenly distributed in the area;

[0085] If the current adjustment device density value is less than the predicted start-up adjustment device density value, the working number of the even-numbered adjustment devices in the matrix is ​​increased by the interval of the element number in the matrix, so that the current adjustment device density value is within the preset range of the predicted start-up adjustment device density value, and the started adjustment devices are ensured to be evenly distributed in the area.

[0086] by Figure 5 Taking the 4×6 matrix shown in as an example, first calculate the numbers in the matrix (for convenience of explanation, Figure 5 The numbers are arranged in a serpentine manner from the upper left corner to the right and from top to bottom in rows. In fact, the numbers can also be arranged in a serpentine manner from the lower left corner of the matrix to the right and from bottom to top in rows; from the upper right corner to the left and from top to bottom in rows; from the lower right corner to the left and from bottom to top in rows; or from the upper left corner to the bottom and from left to right in columns; from the lower left corner to the top and from left to right in columns; from the upper right corner to the bottom and from right to left in columns; from the lower right corner to the top and from right to left in columns) The density value of the odd-numbered adjustment device is 0.5.

[0087] Whenever the density value and the predicted density value of the activation adjustment device are within the allowable error range, the adjustment device at the position mapped by the corresponding number of the density value can be activated.

[0088] When the value is greater than the allowable error range of the density value of the predicted start-up regulating device, that is, the number of currently turned-on regulating devices is too large, the regulating devices with odd numbers are renumbered, and the regulating devices with even numbers are removed to calculate the density values ​​of the remaining regulating devices. When the density values ​​of the remaining regulating devices are still greater than the allowable range of the density values ​​of the predicted start-up regulating devices, the above steps are repeated until the density values ​​of the remaining regulating devices fall within the allowable range of the density values ​​of the predicted start-up regulating devices or the density values ​​of the remaining regulating devices are too small and fall outside the allowable range of the density values ​​of the predicted start-up regulating devices. If the density values ​​of the remaining regulating devices just fall within the allowable range of the density values ​​of the predicted start-up regulating devices, the process ends; if the density values ​​of the remaining regulating devices are too small and fall outside the allowable range of the density values ​​of the predicted start-up regulating devices, the density values ​​of the remaining regulating devices that are greater than the allowable range of the density values ​​of the predicted start-up regulating devices and closest to the allowable range of the density values ​​of the predicted start-up regulating devices are reduced in intervals so that they are within the allowable range of the density values ​​of the predicted start-up regulating devices.

[0089] For example, the predicted activation control device density value is 0.35, and when all control devices with odd numbers are turned on, the density value at this time is 0.5. It is necessary to reduce the current control device density value. Therefore, after renumbering the control devices with odd numbers, the remaining control device numbers after removing the control devices with even numbers are *1, *5, *9, * 13 ,* 17 ,* 21 (corresponding to the initial number), the density value of the remaining regulating devices is calculated to be 0.25, which is less than the allowable range of the density value of the predicted start regulating device (0.3-0.4). At this time, all the regulating devices with odd numbers are reduced in intervals to find the density value closest to the predicted start regulating device density value within the allowable range, that is, the original *1, *3, *5, *7, *9, * 11 ,* 13 ,* 15 ,* 17 ,* 19 ,* 21 ,* 23 The numbers are reduced to *1, *3, *7, *9, * 13 ,* 15 ,* 19 ,* 21 (Every two numbers are reduced by one, and the density value is 0.33), reduced to *1, *3, *5, *9, * 11 ,* 13 ,* 17 ,* 19 ,* 21 (Every three numbers are reduced by one, and the density value is 0.375 at this time) and so on, and then after comparison in the two intervals closest to the density value of 0.35, the current adjustment device density value is finally achieved within the allowable range of the predicted start-up adjustment device density value, and the number of adjustment device starts that is closest to the predicted start-up adjustment device density value, while ensuring that the started adjustment devices are evenly distributed in the area.

[0090] On the other hand, when the density value is less than the predicted density value of the start-up regulating device, that is, the number of regulating devices that need to be turned on at present is too small, it is necessary to increase the number of start-up regulating devices. First, take the density values ​​of all odd-numbered regulating devices as the base, renumber the even-numbered regulating devices, select the regulating device number renumbered as an odd number, and calculate the density value of the currently selected regulating device. When the density value of the selected regulating devices together with the odd numbers is still less than the allowable range of the predicted density value of the start-up regulating device, repeat the above steps until the density value of the selected regulating device falls within the allowable range of the predicted density value of the start-up regulating device or the density value of the regulating device is too large and falls outside the allowable range of the predicted density value of the start-up regulating device. If the density value of the selected regulating device happens to fall within the allowable range of the density value of the predicted start regulating device, the process ends; if the density value of the selected regulating device is too large and falls outside the allowable range of the density value of the predicted start regulating device, the density value of the remaining regulating device that is smaller than the allowable range of the density value of the predicted start regulating device and closest to the allowable range of the density value of the predicted start regulating device will be used to increase the density value of the selected regulating device in an interval manner so that it is within the allowable range of the density value of the predicted start regulating device and closest to the density value of the predicted start regulating device, while ensuring that the activated regulating devices are evenly distributed in the area.

[0091] A4. Measure the ambient temperature / humidity in real time through sensors, and make a decision whether to increase or decrease the density value of the regulating device based on the differential data of the calculated real-time value and its short-term extrapolation prediction, and modify the mark of the start-up state of the regulating device at the position of the matrix element corresponding to the mapping of the regulating device.

[0092] After the initial control of the opening of the regulating device, it is further necessary to accurately adjust the number of the regulating device, that is, to adjust the density value of the regulating device by measuring the current ambient temperature / humidity in real time through the sensor, such as Figure 6 As shown, the steps include:

[0093] S11, measuring the current temperature / humidity in real time by the sensor;

[0094] S12, making a decision based on the calculated differential data of the real-time value and its short-term extrapolation prediction to determine the optimal density value of the start-up regulating device;

[0095] S13, adjusting the density value of the regulating device in an interval manner of the element numbers in the matrix, so that the error between the adjusted density value of the regulating device and the optimal density value of the regulating device is within a preset range.

[0096] In the process of accurately adjusting the density value of the regulating device, the method used is the same as mentioned above, that is, comparing the current density value of the regulating device with the optimal density value of the regulating device, and using the element number interval in the matrix so that the density value of the regulating device started after adjustment is closest to the optimal density value of the starting regulating device, and when the previous database data is incomplete, the density value of the regulating device and the real-time weather data are stored in the database for learning.

[0097] The present invention finds the corresponding density value of the regulating device by comparing the current weather forecast data with the database data, so that the control area can quickly reach the expected temperature / humidity, and the density of the regulating device is uniform, and no local overheating or overcooling / excessive or insufficient humidity will occur. In addition, the present invention performs preliminary adjustment of temperature / humidity by comparing the current weather forecast data with the database data, and fine-tunes the density value of the regulating device by combining the detection data of the real-time sensor, so as to quickly reach the temperature / humidity that is most suitable for the crop growth environment.

[0098] A5. The current start-up or non-start-up status information of the regulating device is displayed in a visual form through the 1 or 0 status corresponding to the corresponding initial number position of the matrix.

[0099] like Figure 7 As shown, the working information of the regulating device including the position, density and whether the regulating device is started is displayed through the matrix. The user can see the working status of the regulating device remotely through the matrix, wherein the elements in the matrix can indicate whether the regulating device corresponding to the element is in the started state, for example: element 1 indicates the started state, and element 0 indicates the unstarted state, so that the entire matrix can show the overall distribution state of the started regulating devices, and the matrix can be further converted into a visual way at the remote end to display the working information of the regulating device to the user, for example: Figure 7 As shown, a lit light indicates that the regulating device is in an activated state, and a dark light indicates that the regulating device is in an inactivated state.

[0100] In addition, during the operation of the adjusting device, the working status of the adjusting device is collected in a certain way, such as an induction switch, etc., so that the working status of each adjusting device can be reflected in real time through the matrix. The user can also promptly discover whether the adjusting device and / or sensor has a fault through the changes in the matrix elements.

[0101] Embodiment 2

[0102] like Figure 1 As shown, the present invention provides a distributed temperature / humidity adjustment method, comprising the steps of:

[0103] A1. Mark the distributed adjustment devices.

[0104] A2. Map the marks to the matrix in row and column order, so that the position of the marks in the matrix is ​​mapped to the actual geographical location in row and column order. At the same time, the adjustment devices mapped in the matrix are numbered in natural numbers starting from 1 in row or column order through a serpentine arrangement.

[0105] like Figure 2 As shown, the area where the regulating devices are distributed (i.e., the control area) is first gridded, and then the positions of the regulating devices are tabulated. According to the mapping, a regulating device working state matrix corresponding to the positions of the regulating devices can be obtained, and the numbering of the regulating devices mapped in the matrix is ​​arranged in a serpentine manner. The purpose is to make the numbers of the elements on the diagonal of the matrix odd or even, so as to obtain a position suitable for opening the regulating device.

[0106] A3. According to the weather forecast data within the preset time period, the closest temperature / humidity trend curve stored in the database is queried, and the regulating device numbered in the matrix at the position mapped by the predicted activation regulating device density value corresponding to the trend curve is activated.

[0107] The regulating device comprises a temperature regulating device and a humidity regulating device. The temperature regulating device is a heating furnace, which can be a biomass fuel combustion furnace or an electric heating furnace. The humidity regulating device is a sprayer.

[0108] Further, such as Figure 3 As shown, the steps of establishing a database include:

[0109] B1. Obtain weather forecast data within a preset historical time period and sensor measurement data within the same time period;

[0110] B2. Calculate the deviation and deviation change rate of the acquired weather forecast data and sensor measurement data, learn the deviation and deviation change rate characteristics, form the deviation correction law and temperature / humidity trend curve after prediction correction, and store them in the database;

[0111] B3. Perform comparative tests on the density of the start-up regulating device under different temperature / humidity requirements in multiple areas with almost identical climatic conditions, obtain predicted values ​​of the density of the start-up regulating device corresponding to the temperature / humidity value, and store them in a database.

[0112] The present invention obtains the deviation law between meteorological data and measured data by studying historical meteorological data in combination with sensor measured data. At the same time, through the test experiment of the density of the adjustment device, the temperature / humidity results most suitable for the crop growth environment (i.e., the density value of the adjustment device) are associated with the above-mentioned deviation law, and then a corresponding database is established, which is convenient for directly obtaining the most suitable density value through the database.

[0113] In addition, in order to prevent the heat generated by the heating furnace from affecting the temperature / humidity values ​​measured by the sensor in the deviation law, it is necessary to conduct independent testing in another adjacent area that will not cause any impact, that is, the two test areas are different but need to belong to the same local area.

[0114] At the same time, it should be noted that the cloudy or sunny weather will also affect the rise and fall of temperature as well as the speed and amplitude of the rise and fall. Therefore, the study of deviation rules is not limited to the static calculation of the static difference between the temperature in the weather forecast and the measured temperature. In-depth learning is also required according to different weather conditions, such as day, night, cloudy, sunny, current time, etc., using differential information such as the amplitude of temperature rise and fall, the speed of temperature rise and fall, so that the data obtained from learning is a hypersurface, which is represented by multi-dimensional coordinates or vectors. In the hypersurface, the density value is used as the vertical axis, and the preliminary density value is obtained through multi-dimensional information, which enables the control area to quickly reach the expected temperature / humidity, and the density of the adjustment device is uniform, and no local overheating or overcooling will occur.

[0115] Since it is impossible to obtain complete experimental data of the sample space through experiments before actual application, the density value of the adjustment device used in the initial stage of the actual application process is not accurate enough. It is necessary to store the data obtained from each subsequent operation in the database for learning and iteratively updating the database until the density value of the adjustment device tends to be stable within the specified temperature / humidity error limit, that is, the density value after several consecutive operations is within the allowable error range. In this way, the redundant sample values ​​are discarded to avoid the expansion of the sample space and cause the calculation speed to be too slow.

[0116] like Figure 4 As shown, after the corresponding database is established, the steps of querying the density value from the database include:

[0117] C1. Obtain weather forecast data within a preset time period;

[0118] C2. inputting the weather forecast data into the database in the format of data stored in the database;

[0119] C3. Find the day closest to the temperature / humidity trend curve stored in the database and obtain the activation adjustment device density value corresponding to the day closest to the temperature / humidity trend curve.

[0120] When in use, the weather forecast data information found before turning on the regulating device can be input into the database in the form of one data per hour, and automatically matched with the data stored in the database through calculation, that is, which day's data in the database is closest to the found weather forecast data.

[0121] In the matching operation process, the method used is to calculate the similarity between the weather forecast data and the corresponding data in the database through distance, that is, the calculation is performed using the following formula:

[0122]

[0123] Where J is the distance function, representing the similarity. Considering the large inertia of the temperature / humidity system, its minimum value can represent that the weather forecast data and the corresponding data in the database are most similar; x = (x1, x2, ... x n ), y=(y1,y2,……y n ) are the data of each point in the weather forecast and the data of the corresponding point in the database.

[0124] The day with the highest similarity is the historical data closest to the current weather forecast data. The most suitable density value under the historical data corresponding to the historical data is obtained, so that the most suitable interval for opening the regulating device, that is, the density value, is obtained.

[0125] In actual application, the row spacing density and column spacing density can also be tested first, and the row and column spacing density can be stored in the database as the most appropriate associated data corresponding to the historical data.

[0126] Furthermore, the method of starting the regulating device at the mapped position according to the predicted activation regulating device density value is specifically as follows: starting the regulating device at the mapped position according to the predicted activation regulating device density value and its multiples.

[0127] A4. Measure the ambient temperature / humidity in real time through sensors, and make a decision whether to increase or decrease the density value of the regulating device based on the calculated differential data and its short-term extrapolation prediction, and modify the mark of the start-up state of the regulating device at the position of the matrix element corresponding to the mapping of the regulating device.

[0128] After the initial control of the opening of the regulating device, it is further necessary to accurately adjust the number of the regulating device, that is, to adjust the density value of the regulating device by measuring the current ambient temperature / humidity in real time through the sensor, such as Figure 8 As shown, the steps include:

[0129] S21, measuring the current real-time temperature / humidity by the sensor;

[0130] S22, making a decision whether to adjust the density value of the regulating device according to the calculated differential data of the real-time value and its short-term extrapolation prediction;

[0131] S23, if the density value of the regulating device needs to be adjusted, a modulo operation is performed between the regulating device number and the density value of the currently activated regulating device;

[0132] S24. Increase or decrease the density value of the regulating device in a preset manner according to the remainder obtained from the modular operation.

[0133] The method of increasing the density value of the adjustment device is to start the adjustment device with the corresponding number according to the midpoint value of the remainder obtained after the modular operation. The method of reducing the density value of the adjustment device is to turn off the adjustment device with the corresponding number position mapped to the value obtained by multiplying the square of the density value with a natural number starting from 1.

[0134] Specifically, for temperature regulation, when biomass fuel combustion is used to heat to increase the temperature, since the combustion of biomass fuel cannot be extinguished at any time after ignition, the density of the opening of the regulating device is sparse during the initial regulation. According to the temperature measured by the sensor, the speed and amplitude of the temperature rise, etc., according to the midpoint value of the remainder obtained after the modulus operation, the regulating device corresponding to the midpoint value and its neighboring value is started in a way of spreading from the midpoint value of the remainder to both sides, thereby gradually increasing the number of regulating devices opened, and at the same time, it is necessary to ensure that the temperature of the control area is uniform. For temperature regulation by electric heating furnace, since the electric heating furnace can be easily switched on and off to change its working state, when the temperature is too high, some regulating devices can be closed at any time to keep the temperature within a suitable range. Similarly, for humidity regulation, the open and closed states of the sprayer valve are displayed as two different elements of 1 and 0 in the mapping matrix. When the humidity is too high, some sprayers can be closed to reduce the humidity.

[0135] The present invention finds the corresponding density value of the regulating device by comparing the current weather forecast data with the database data, so that the control area can quickly reach the expected temperature / humidity, and the density of the regulating device is uniform, and no local overheating or overcooling / excessive or insufficient humidity will occur. In addition, the present invention performs preliminary adjustment of temperature / humidity by comparing the current weather forecast data with the database data, and fine-tunes the density of the regulating device by combining the detection data of the real-time sensor, so as to quickly reach the temperature / humidity that is most suitable for the crop growth environment.

[0136] A5. The current start-up or non-start-up status information of the regulating device is displayed in a visual form through the 1 or 0 status corresponding to the corresponding numbered positions in the matrix.

[0137] like Figure 7As shown, the working information of the regulating device including the position, density and whether the regulating device is activated is displayed through the matrix. The user can remotely see the working status of the regulating device through the matrix, wherein the elements in the matrix can indicate whether the regulating device corresponding to the element is in the activated state, for example: element 1 indicates the activated state, and element 0 indicates the unactivated state, so that the entire matrix can show the overall distribution state of the activated regulating devices, and the matrix can be further converted into a visual way at the remote end to display the working information of the regulating device to the user, for example: Figure 7 As shown, a lit light indicates that the regulating device is in an activated state, and a dark light indicates that the regulating device is in an inactivated state.

[0138] In addition, during the operation of the adjusting device, the working status of the adjusting device is collected in a certain way, such as an induction switch, etc., so that the working status of each adjusting device can be reflected in real time through the matrix. The user can also promptly discover whether the adjusting device and / or sensor has a fault through the changes in the matrix elements.

[0139] Embodiment 3

[0140] like Fig. 9 As shown, the present invention provides a distributed temperature / humidity adjustment system, which includes:

[0141] A plurality of adjustment devices are evenly distributed in a preset space;

[0142] The host computer is used to obtain weather forecast data and input it into the database;

[0143] The sensor module is used to measure the real-time ambient temperature / humidity and send the collected real-time ambient temperature / humidity to the control module;

[0144] A control module, wherein the database is provided in the control module, and the control module is used to turn on or off the regulating device according to the database and the real-time ambient temperature / humidity data;

[0145] A regulating device status acquisition module, used for acquiring the working status of the regulating device and sending it to the control module;

[0146] The display module is used to display the working status information of the regulating device in a matrix form.

[0147] The present invention can be applied to mountain forest planting, greenhouse planting, porcelain firing and many other aspects. By evenly distributing the regulating device and starting the operation at a certain density, the growth of plants and the firing of porcelain can have good temperature and humidity regulation to achieve the most suitable environmental conditions.

[0148] The real-time ambient temperature / humidity measured by the sensor includes the temperature / humidity of the area near the unused regulating device and the area near the installed regulating device, so that the control module can obtain the current accurate temperature / humidity value to adjust the number of regulating devices opened.

[0149] The present invention obtains the deviation law between meteorological data and measured data by studying historical meteorological data in combination with sensor measured data. At the same time, through the test experiment of adjusting the density of the device, the temperature / humidity results most suitable for the crop growth environment (i.e., the density value of the adjusting device) are associated with the above-mentioned deviation law, and then a corresponding database is established.

[0150] After the database is established, the weather forecast data is obtained through the host computer, and the corresponding adjustment device density value is found by comparing the current weather forecast data with the database data, so as to start the corresponding adjustment device through the control module. In addition, the present invention also measures the ambient temperature / humidity in real time through the sensor module, and fine-tunes the density of the adjustment device to achieve the temperature / humidity most suitable for the crop growth environment.

[0151] In addition, the present invention abstracts the distribution of the regulating device into a two-dimensional matrix, that is, a one-to-one mapping correspondence can be established between the position of the regulating device and the matrix, and the relative position of the regulating device can be reflected. The working state of the regulating device can be represented by the matrix elements in the matrix, and the user can see the working state information of the regulating device through the matrix, and the working information of the regulating device can be displayed to the user in a visual manner. In addition, during the working process of the regulating device, the working state of the regulating device is collected in a certain way by the regulating device state acquisition module, such as the induction switch, etc., and the working state of each regulating device can be reflected in real time through the matrix, and the user can also timely find out whether the regulating device and / or the sensor has a fault through the change of the matrix elements.

[0152] The specific embodiments described herein are merely examples of the spirit of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in similar ways, but they will not deviate from the spirit of the present invention or exceed the scope defined by the appended claims.

Claims

1. A distributed temperature / humidity adjustment method, characterized in that: Includes steps: Marking distributedly arranged regulating devices, wherein the regulating devices include temperature regulating devices and humidity regulating devices; Mapping the marks to the matrix in row and column order, so that the positions of the marks in the matrix are mapped to the actual geographical locations in row and column order, and at the same time, the adjustment devices mapped in the matrix are numbered in natural numbers starting from 1 in row or column order in a serpentine arrangement manner; According to the weather forecast data within the preset time period, the closest temperature / humidity trend curve stored in the database is searched, and the regulating device numbered in the matrix at the position mapped by the predicted activation regulating device density value corresponding to the trend curve is activated; The microenvironment temperature / humidity is measured in real time by a sensor, and a decision is made whether to increase or decrease the density value of the regulating device based on the calculated differential data of the measured value and its short-term extrapolation prediction, and the mark of the start-up state of the regulating device is modified at the position of the matrix element corresponding to the mapping of the regulating device; The current start-up or non-start-up state information of the regulating device is displayed in a visual form through the 1 or 0 state corresponding to the corresponding initial number position of the matrix; The step of establishing the database includes: Obtain weather forecast data within a preset historical time period and sensor measurement data within the same time period; Calculate the deviation and deviation change rate of the acquired weather forecast data and sensor measurement data, learn the characteristics of their deviation and deviation change rate, form the deviation correction law and temperature / humidity trend curve after prediction and correction, and store them in the database; A comparative test of the density of the start-up regulating device is performed on multiple areas of preset climate conditions under different temperature / humidity requirements at the same time, and a predicted value of the density of the start-up regulating device corresponding to the temperature / humidity value is obtained and stored in a database.

2. A distributed temperature / humidity adjustment method according to claim 1, characterized in that: The step of querying the predicted startup regulating device density value in the database includes: Get weather forecast data within a preset time period; Inputting the weather forecast data into the database in the format of data stored in the database; The weather forecast data is searched for the day closest to the temperature / humidity trend curve stored in the database, so as to obtain the activation regulating device density value corresponding to the day closest to the temperature / humidity trend curve.

3. A distributed temperature / humidity adjustment method according to claim 1, characterized in that: The specific method of starting the regulating device at the mapped position according to the predicted activation regulating device density value is as follows: Taking the density value of all odd-numbered regulating devices turned on as a reference, the current regulating device density reference value is compared with the predicted activated regulating device density value; If the current density value of the regulating device is greater than the predicted density value of the activated regulating device, the number of the regulating devices with odd numbers in the matrix is ​​reduced by the interval of the element numbers in the matrix, so that the current density value of the regulating device is within the preset error range of the predicted density value of the activated regulating device, and the activated regulating devices are ensured to be evenly distributed in the area; If the current adjustment device density value is less than the predicted start-up adjustment device density value, the working number of the even-numbered adjustment devices in the matrix is ​​increased by spacing the element numbers in the matrix, so that the current adjustment device density value is within the preset error range of the predicted start-up adjustment device density value, and ensure that the started adjustment devices are evenly distributed in the area.

4. A distributed temperature / humidity adjustment method according to claim 3, characterized in that: The steps of adjusting the number of adjustment devices according to the current microenvironment temperature / humidity measured in real time by the sensor include: The current temperature / humidity is measured in real time by sensors; Make a decision based on the calculated difference data of the measured value and its short-term extrapolation prediction to determine the optimal density value of the regulating device; The density value of the regulating device is adjusted in an interval manner according to the number of elements in the matrix, so that the error between the adjusted density value of the regulating device and the optimal density value of the regulating device is within a preset range.

5. A distributed temperature / humidity adjustment method according to claim 1, characterized in that: The specific method of starting the regulating device at the mapped position according to the predicted activation regulating device density value is: starting the regulating device at the mapped position to the predicted activation regulating device density value and its positive integer multiples.

6. A distributed temperature / humidity adjustment method according to claim 5, characterized in that: The steps of adjusting the number of adjustment devices according to the current ambient temperature / humidity measured in real time by the sensor include: The current temperature / humidity is measured in real time by sensors; Make a decision on whether to adjust the density value of the regulating device based on the calculated differential data and its short-term extrapolated prediction; If the density value of the regulating device needs to be adjusted, a modulo operation is performed between the regulating device number and the density value of the currently activated regulating device; The density value of the regulating device is increased or decreased in a preset manner according to the remainder obtained from the modular operation.

7. A distributed temperature / humidity adjustment method according to claim 6, characterized in that: The method of increasing the density value of the regulating device each time is as follows: the remainders obtained after the modular operation are arranged in sequence, the midpoint value is found by binary search, the regulating device numbered corresponding to the midpoint value is started, and the density value of the currently started regulating device is updated.

8. A distributed temperature / humidity adjustment method according to claim 6, characterized in that: The method of reducing the density value of the regulating device is to turn off the regulating device numbered corresponding to the product of the square of the density value and a natural number starting from 1.

9. A distributed temperature / humidity adjustment system, based on the distributed temperature / humidity adjustment method according to any one of claims 1 to 8, characterized in that: include: A plurality of adjustment devices are evenly distributed in a preset space; The host computer is used to obtain weather forecast data and input it into the database; The sensor module is used to measure the real-time ambient temperature / humidity and send the collected real-time ambient temperature / humidity data to the control module; A control module, wherein the database is provided in the control module, and the control module is used to turn on or off the regulating device according to the database and the real-time ambient temperature / humidity data; A regulating device status acquisition module, used for acquiring the working status of the regulating device and sending it to the control module; The display module is used to display the working status information of the regulating device in a matrix form.

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