An intelligent ventilation system for SMT workshops

Abstract

The invention discloses an intelligent ventilation system for an SMT workshop, which belongs to the field of intelligent ventilation and comprises a switch group current state acquisition module, an air valve weight acquisition module, a ventilation state acquisition module, which is used to determine the current ventilation state of the workshop according to the current state of the air valve switch group and the time-space comprehensive weight; a non-ventilation state acquisition module, which is used to acquire the current non-ventilation state of the workshop; a comfort generation module, which is used to generate the current comfort of the workshop according to the current ventilation state and the non-ventilation state of the workshop; a historical database construction module, which is used to construct a historical database with historical timestamps as indexes; an optimal fan power matching module, which is used to match the optimal fan power in the historical database according to the current comfort of the workshop; wherein the optimal fan power represents the minimum fan power that maintains the current comfort of the workshop; the invention enables the system to maintain comfort and reduce energy consumption through comprehensive calculation of the air valve opening, the time-space comprehensive weight and the non-ventilation state.

Description

Technical Field

[0001] The present invention relates to the field of intelligent ventilation technology, and in particular to an intelligent ventilation system for an SMT workshop. Background Art

[0002] In the production process of modern SMT (surface mount technology) workshops, the design of the ventilation system is crucial to ensure the stability of the production environment and the normal operation of the equipment. Reasonable ventilation can not only adjust the temperature and humidity of the workshop, reduce static electricity accumulation and noise, but also maintain the efficient operation of the equipment, thereby improving production efficiency. However, the smart ventilation system in the prior art often adjusts the fan power according to current needs. For example, the Chinese patent document with patent publication number: CN115454176A discloses that whether to perform intelligent ventilation is determined according to the ventilation evaluation coefficient of the greenhouse, which can avoid the impact of the external harsh environment on the internal crops during ventilation; and it can provide real-time feedback based on the size of the ventilation evaluation coefficient, thereby controlling the ventilation time and ventilation intensity. However, its smart ventilation only considers whether to perform smart ventilation, but does not expand the dimension of smart ventilation to other aspects. For example, the fan may operate at a power that exceeds the demand, resulting in unnecessary energy waste, and when the power is too low, it may not be able to maintain the ideal comfort, affecting production efficiency and equipment stability. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the shortcomings of the prior art, the present invention provides an intelligent ventilation system for an SMT workshop. By adapting the current comfort level to the historical comfort level and then matching the minimum fan power, a dynamic balance between comfort level and fan power is achieved, thus solving the problems raised in the background technology.

[0005] (II) Technical solution

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] An intelligent ventilation system for an SMT workshop, comprising:

[0008] The switch group current state acquisition module is used to acquire the current state of the air valve switch group; wherein the air valve switch group includes an air valve switch for controlling M air valves;

[0009] The air valve weight acquisition module is used to obtain the spatiotemporal comprehensive weight of the air valve in the open state;

[0010] The ventilation status acquisition module is used to determine the current ventilation status of the workshop according to the current status of the air valve switch group and the time-space comprehensive weight;

[0011] A non-ventilation state acquisition module, which is used to acquire the current non-ventilation state of the workshop;

[0012] A comfort level generation module, which is used to generate the current comfort level of the workshop according to the current ventilation state and non-ventilation state of the workshop;

[0013] A historical database construction module, which is used to construct a historical database indexed by historical timestamps;

[0014] An optimal fan power matching module, which is used to match the optimal fan power in the historical database according to the current comfort level of the workshop; wherein the optimal fan power represents the minimum fan power to maintain the current comfort level of the workshop.

[0015] In some of the embodiments, the acquisition steps of the switch group current state acquisition module include:

[0016] S1-1, initialize the counter i = 1; the counter i is used to traverse the damper list, and the damper list pre-stores the damper IDs of the dampers;

[0017] S1-2, detect the state and opening value of the i-th damper switch;

[0018] S1-3, output the state value and opening value of the i-th damper switch to the temporary memory;

[0019] S1-4, increment the calculator i = i + 1, and detect the next damper switch;

[0020] If i < M, return to step 1-2 and continue to detect the next damper switch;

[0021] When i = M, retrieve the state value and opening value of the temporary memory;

[0022] S1-5, summarize the current state values, opening values, and damper IDs of the M dampers, and construct them into the current state of the damper switch group; the expression of the current state of the damper switch group is:

[0023] ;

[0024] wherein, V is the current state of the damper switch group, M is the total number of dampers, is the opening and closing state of the i-th damper, 0 represents closed, and 1 represents open; is the opening value of the i-th damper, and the range is between 0% and 100%.

[0025] In some of the embodiments, the acquisition steps of the damper weight acquisition module include:

[0026] S2-1, screen out the dampers that are currently in the open state;

[0027] S2-2, matching the spatiotemporal comprehensive weight of the air valve currently in the open state according to the air valve ID.

[0028] In some of the embodiments, the acquisition step of the air valve weight acquisition module further includes:

[0029] Obtain the physical distance from the air valve to the ventilation outlet, and assign different distance weights according to different physical distances;

[0030] Get the position of the air valve in the air duct hierarchy and assign different hierarchical weights according to different hierarchical positions;

[0031] Obtain the load time ratio of the air valve in historical operation, and assign different historical time load weights according to different load time ratios;

[0032] Determine the spatiotemporal comprehensive weight based on the distance weight, level weight and historical time load weight;

[0033] The expression for obtaining the spatiotemporal comprehensive weight is:

[0034]

[0035] in, is the spatiotemporal comprehensive weight of the ith air valve; are weight coefficients, which control the coefficients of distance weight, hierarchy weight and historical time load weight respectively; is the physical distance from the ith damper to the vent, is the weight of the physical distance. The farther the distance, the lower the weight. is a parameter that controls the distance weight, The rapid reduction of ventilation efficiency due to physical distance is characterized by exponential decay; is the hierarchical weight of the i-th damper in the hierarchy; is the historical time load time ratio of the i-th damper; is the historical time load weight.

[0036] In some of the embodiments, the acquisition step of the ventilation status acquisition module includes:

[0037] Extract each from the current state of the air valve switch group =1 the opening value of the air valve ;

[0038] For each =1 the opening value of the air valve Perform nonlinear processing;

[0039] According to each =1, and the weighted sum of the opening values ​​after nonlinear processing is performed to obtain the current ventilation status of the workshop;

[0040] The expression of the current ventilation status of the workshop is:

[0041] ;

[0042] Among them, T is the current ventilation status of the workshop, is the threshold value of the air valve opening value; It indicates that nonlinear processing is performed on the air valve opening value, indicating that when the opening value exceeds the threshold, the ventilation effect is significantly improved. k is the steepness coefficient that controls the change of ventilation effect.

[0043] In some of the embodiments, the acquisition steps of the non-ventilation state acquisition module include: detecting the current temperature and humidity of the workshop through the temperature and humidity sensor; collecting the current equipment operating temperature of the workshop through the embedded device temperature monitoring module; collecting the current noise level of the workshop through the noise sensor; collecting the current static electricity accumulation amount of the workshop through the static electricity detector; the vector expressions of several non-ventilation states are:

[0044] ;

[0045] in, Indicates the current temperature of the workshop. Indicates the current humidity of the workshop. Indicates the current noise level in the workshop. Indicates the current static electricity accumulation in the workshop.

[0046] In some of the embodiments, the generation process expression of the comfort generation module is:

[0047] ;

[0048] Among them, C is the current comfort level of the workshop, They are the weight coefficients of the current ventilation status of the workshop, the current temperature of the workshop, the current humidity of the workshop, the current noise of the workshop, and the current static electricity accumulation amount of the workshop; and They are the comfortable temperature benchmark value and comfortable humidity benchmark value of the workshop respectively. and They respectively represent the impact of the current temperature and humidity of the workshop on comfort. and are the temperature attenuation coefficient and the humidity attenuation coefficient respectively; Represents the logarithmic effect of noise on comfort.

[0049] In some of the embodiments, the steps of constructing the historical database construction module include:

[0050] Collect the historical comfort level of the workshop and its corresponding historical fan power at the historical timestamp t;

[0051] The historical timestamp t, the historical comfort level and the corresponding historical fan power are constructed as historical records, and the historical database of historical records is constructed by indexing with the historical timestamp t;

[0052] The expression for the history record is: ;

[0053] in, is the historical comfort level, is the historical wind turbine power;

[0054] The expression of the historical database is: ;

[0055] Among them, history is the historical database, is the i-th historical timestamp, is the historical comfort level at the i-th historical timestamp, is the historical wind turbine power at the i-th historical timestamp; Is the collection of all historical timestamps.

[0056] In some embodiments, according to the current comfort level of the workshop, the optimal fan power is matched in the historical database; wherein the optimal fan power represents the minimum fan power to maintain the current comfort level of the workshop, including:

[0057] In the history database, match the history record set with the current comfort level of the workshop;

[0058] The expression for the history collection is:

[0059] ;

[0060] Among them, J is the set of matched historical records, is the allowable difference for comfort matching, It is the closest historical comfort level;

[0061] Select the minimum fan power to maintain the current comfort level of the workshop from the historical record set;

[0062] The expression for the minimum fan power is:

[0063] ;

[0064] in, is the minimum fan power to maintain the current comfort level of the workshop. It is the historical fan power corresponding to the closest historical comfort level.

[0065] (III) Beneficial effects

[0066] The present invention provides an intelligent ventilation system for SMT workshops. It has the following beneficial effects:

[0067] The ventilation status and comfort level of the workshop are dynamically generated through the air valve opening, the comprehensive time-space weight and the non-ventilation status, so that the ventilation system can sense the ventilation needs of the workshop in real time, adjust the fan power in time, and achieve precise control of the environmental comfort level.

[0068] By calculating the spatiotemporal comprehensive weight of the air valve, taking into account factors such as the physical location of the air valve and the historical load time, the system can control the ventilation state more accurately. This refined control method enables the workshop ventilation system to flexibly respond to complex working conditions without affecting the overall performance of the system due to the imbalance of a single parameter. As a result, the system can not only smoothly control the ventilation demand of the local open valve state, but also ensure global comfort.

[0069] Through the construction and matching of the historical database, the system can select the minimum fan power required to maintain comfort while ensuring the current comfort level, avoiding the energy waste caused by excessive power in traditional ventilation systems, effectively achieving a balance between comfort and energy consumption, and greatly improving the energy efficiency of fan operation.

[0070] Based on the technical thinking of matching historical comfort with minimum fan power, a dynamic balance between comfort and fan power is achieved. In traditional systems, there is often a conflict between fan power and comfort. Although too high power can ensure comfort, it will lead to energy waste; too low power will lead to insufficient comfort. This solution solves this conflict by intelligently matching historical records, allowing the system to maintain comfort while reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A ventilation flow chart of an intelligent ventilation system for an SMT workshop according to the present invention;

[0072] Figure 2 This is a structural block diagram of an intelligent ventilation system for an SMT workshop of the present invention; DETAILED DESCRIPTION

[0073] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0074] Example 1, please refer to Figure 1, the present invention provides a ventilation process for an intelligent ventilation system in an SMT workshop. The ventilation process includes:

[0075] Step S1, obtain the current state of the air valve switch group; where the air valve switch group includes air valve switches for controlling M air valves.

[0076] Specifically, step S1 specifically includes:

[0077] S1-1, initialize the counter i = 1; the counter i is used to traverse the air valve list, and the air valve list pre-stores the air valve IDs of the air valves.

[0078] S1-2, detect the state and opening value of the i-th air valve switch. Specifically:

[0079] Find the i-th air valve switch corresponding to the air valve ID and detect its opening state.

[0080] If the opening of the i-th air valve is 0, generate a state value of 0, indicating that the air valve is in the closed state.

[0081] If the opening of the i-th air valve is non-zero, generate a state value of 1, indicating that the air valve is in the open state.

[0082] When generating a state signal value of 1, call the air valve opening detection instruction to read the opening value of the air valve.

[0083] S1-3, output the state value and opening value of the i-th air valve switch to the temporary memory.

[0084] S1-4, increment the calculator i = i + 1 and detect the next air valve switch.

[0085] If i < M, return to step 1-2 to continue detecting the next air valve switch.

[0086] When i = M, retrieve the state value and opening value from the temporary memory.

[0087] S1-5, summarize the current state values, opening values, and air valve IDs of the M air valves to construct the current state of the air valve switch group. The expression for the current state of the air valve switch group is:

[0088] ;

[0089] Where V is the current state of the air valve switch group, M is the total number of air valves, is the opening and closing state of the i-th air valve, 0 indicates closed, and 1 indicates open; is the opening value of the i-th air valve, ranging from 0% to 100%.

[0090] That is to say, only when = 1, In the above expression, the state of each air valve can be expressed as a binary tuple Indicates that Determines whether the air valve is open. It describes the actual opening of the air valve. When the air valve is closed, the opening is meaningless. = 0. The status values ​​of all air valves are combined to form the current status of the air valve switch group.

[0091] The ventilation process also includes:

[0092] Step S2, obtaining the spatiotemporal comprehensive weight of the air valve in the open state;

[0093] Step S2 specifically includes:

[0094] S2-1, filter out the air valves that are currently in the open state;

[0095] The system directly determines which air valves are in the open state (open and close state is 1) from the state vector at the current moment.

[0096] If the status value of the air valve is 1, the air valve is in the open state and is ready for further processing.

[0097] S2-2, matching the spatiotemporal comprehensive weight of the air valve currently in the open state according to the air valve ID;

[0098] For each open damper (status value is 1), query the spatiotemporal comprehensive weight of the damper through the damper ID. The spatiotemporal comprehensive weight can be obtained in the following ways:

[0099] Physical distance: calculated by the distance from the air valve to the main fan or ventilation outlet;

[0100] Hierarchical structure: weights are assigned according to the hierarchical position of the air valve in the main duct or branch duct;

[0101] Historical time load: adjust the weight based on the historical operating load.

[0102] In other words, the comprehensive space-time weight comprehensively considers the influence of time (i.e. historical time load) and space influence (physical distance and hierarchy, considering the spatial weight of the air valve from the three-dimensional space of length, width and height).

[0103] Furthermore, the method of obtaining the spatiotemporal comprehensive weight includes:

[0104] Obtain the physical distance from the air valve to the ventilation outlet, and assign different distance weights according to different physical distances;

[0105] Get the position of the air valve in the air duct hierarchy and assign different hierarchical weights according to different hierarchical positions;

[0106] Obtain the load time ratio of the air valve in historical operation, and assign different historical time load weights according to different load time ratios;

[0107] Determine the spatiotemporal comprehensive weight based on the distance weight, level weight and historical time load weight;

[0108] The expression for obtaining the spatiotemporal comprehensive weight is:

[0109] ;

[0110] in, is the spatiotemporal comprehensive weight of the ith air valve; are weight coefficients, which control the coefficients of distance weight, hierarchy weight and historical time load weight respectively; is the physical distance from the ith damper to the vent, is the weight of the physical distance. The farther the distance, the lower the weight. is a parameter that controls the distance weight, The rapid reduction of ventilation efficiency due to physical distance is characterized by exponential decay; is the hierarchical weight of the i-th air valve in the hierarchy; for example, the main air duct is assigned a higher hierarchical weight, and the branch air duct is assigned a lower hierarchical weight; is the historical time load time ratio of the i-th air valve; the larger the ratio, the longer the i-th air valve is opened in the historical time, and the higher its historical time load weight; is the historical load weight. The logarithmic function is used to make the historical load weight increase more slowly when the historical load time is long, thereby reducing the impact of the longer historical load time on the historical load weight.

[0111] The spatiotemporal comprehensive weight is obtained by calculating the spatiotemporal comprehensive weight through the above three factors, namely physical distance (indicated by exponential decay that long distance has less impact on ventilation), hierarchical structure (reflecting the importance of air valves in the duct system), and historical time load time (the more time it is used, the higher the weight).

[0112] The ventilation process also includes:

[0113] Step S3, determining the current ventilation state of the workshop according to the current state of the air valve switch group and the time-space comprehensive weight;

[0114] Step S3 specifically includes:

[0115] S3-1, extract each from the current state of the air valve switch group =1 the opening value of the air valve ;

[0116] S3-2, for each =1 the opening value of the air valve Perform nonlinear processing;

[0117] S3-3, according to each =1, and the weighted sum of the opening values ​​after nonlinear processing is performed to obtain the current ventilation status of the workshop;

[0118] The expression of the current ventilation status of the workshop is:

[0119] ;

[0120] Among them, T is the current ventilation status of the workshop, is the threshold value of the air valve opening value; It indicates that nonlinear processing is performed on the air valve opening value, indicating that when the opening value exceeds the threshold, the ventilation effect is significantly improved. k is the steepness coefficient that controls the change of ventilation effect.

[0121] Specifically, by combining the opening state, opening value and time-space comprehensive weight of each air valve, the overall ventilation state value of the workshop is obtained. The Sigmoid function is used to process the nonlinear effect of the air valve opening value, ensuring that when the air valve opening is small, the ventilation effect is limited, and when the opening exceeds the threshold, the ventilation effect is greatly improved.

[0122] The ventilation process also includes:

[0123] Step S4, obtaining the current non-ventilation state of the workshop; including: detecting the current temperature and humidity of the workshop through the temperature and humidity sensor; collecting the current equipment operating temperature of the workshop through the embedded device temperature monitoring module; collecting the current noise level of the workshop through the noise sensor; collecting the current static electricity accumulation of the workshop through the static electricity detector; the vector expressions of several non-ventilation states are:

[0124] ;

[0125] in, Indicates the current temperature of the workshop. Indicates the current humidity of the workshop. Indicates the current noise level in the workshop. Indicates the current static electricity accumulation in the workshop.

[0126] The ventilation process also includes:

[0127] Step S5, generating the current comfort level of the workshop according to the current ventilation state and non-ventilation state of the workshop;

[0128] Among them, the expression for generating the current comfort level of the workshop is:

[0129] ;

[0130] Among them, C is the current comfort level of the workshop, They are the weight coefficients of the current ventilation status of the workshop, the current temperature of the workshop, the current humidity of the workshop, the current noise of the workshop, and the current static electricity accumulation of the workshop, reflecting the relative influence of each non-ventilation status on the comfort level; and They are the comfortable temperature benchmark value and comfortable humidity benchmark value of the workshop, which are usually a preset most comfortable temperature value. and They respectively represent the impact of the current temperature and humidity of the workshop on comfort. and They are the temperature attenuation coefficient and the humidity attenuation coefficient, which use an exponential decay method. When the temperature or humidity deviates from the comfortable range, the comfort level drops rapidly. It represents the logarithmic effect of noise on comfort, reflecting that the effect of noise on comfort slows down as the noise level increases;

[0131] Specifically, the comfort level C is a comprehensive result of the ventilation state T and several non-ventilation states. The ventilation state value directly affects the air circulation efficiency of the workshop, while non-ventilation states such as temperature, humidity, noise and static electricity reflect their impact on comfort through their own nonlinear functions. When the temperature and humidity deviate from the comfort range, the comfort level drops rapidly; the impact of noise weakens as the noise increases, and static electricity has a direct negative impact on comfort.

[0132] The technical solution of Example 1 dynamically generates the ventilation status and comfort of the workshop through the air valve opening, time-space comprehensive weight and non-ventilation state, so that the ventilation system can perceive the ventilation demand of the workshop in real time, adjust the fan power in time, and realize precise control of environmental comfort. By calculating the time-space comprehensive weight of the air valve, taking into account factors such as the physical position of the air valve and the historical load time, the system can control the ventilation state more accurately. This refined control method enables the workshop ventilation system to flexibly respond to complex working conditions without affecting the overall performance of the system due to the imbalance of a single parameter. As a result, the system can not only smoothly control the ventilation demand of the local valve opening state, but also ensure the global comfort.

[0133] Example 2, reference Figure 1 to Figure 2 The technical solution of this embodiment 2 is different from that of embodiment 1 in that:

[0134] The ventilation process also includes:

[0135] Step S6: construct a historical database using the historical timestamp as an index. Step S6 specifically includes:

[0136] S6-1, collecting the historical comfort of the workshop and its corresponding historical fan power at the historical timestamp t; the historical comfort is calculated according to the above steps based on the ventilation state value and the non-ventilation state at that time;

[0137] S6-2, constructing the historical timestamp t, the historical comfort level and the corresponding historical fan power as historical records, and constructing a historical database of historical records indexed by the historical timestamp t;

[0138] The expression for the history record is: ;

[0139] in, is the historical comfort level, is the historical wind turbine power;

[0140] The expression of the historical database is: ;

[0141] Among them, history is the historical database, is the i-th historical timestamp, is the historical comfort level at the i-th historical timestamp, is the historical wind turbine power at the i-th historical timestamp; Is the collection of all historical timestamps.

[0142] The ventilation process also includes:

[0143] Step S7: matching the optimal fan power in the historical database according to the current comfort level of the workshop; wherein the optimal fan power represents the minimum fan power that maintains the current comfort level of the workshop. Step S7 specifically includes:

[0144] S7-1, matching the historical records set with the current comfort level of the workshop in the historical database;

[0145] The expression for the history collection is:

[0146] ;

[0147] Among them, J is the set of matched historical records, is the allowable difference of comfort matching, which defines the difference range between the current comfort and the historical comfort. is the closest historical comfort level.

[0148] S7-2, select the minimum fan power to maintain the current comfort level of the workshop from the historical record set;

[0149] The expression for the minimum fan power is:

[0150] ;

[0151] in, is the minimum fan power to maintain the current comfort level of the workshop. It is the historical fan power corresponding to the closest historical comfort level.

[0152] Specifically, the system finds the closest historical comfort level from the historical database based on the current comfort level of the workshop, and can select the minimum fan power to ensure the current comfort level of the workshop. Through this matching strategy, the system can select the optimal fan power according to the current comfort level of the workshop, ensuring that the current comfort level of the workshop is maintained within the setting range of the air valve switch group, and reducing unnecessary losses.

[0153] The technical solution of Example 2, through the construction and matching of the historical database, can enable the system to select the minimum fan power required to maintain comfort while ensuring the current comfort, thereby avoiding the energy waste caused by excessive power in traditional ventilation systems, effectively achieving a balance between comfort and energy consumption, and greatly improving the energy efficiency of fan operation.

[0154] Based on the technical thinking of matching historical comfort with minimum fan power, a dynamic balance between comfort and fan power is achieved. In traditional systems, there is often a conflict between fan power and comfort. Although too high power can ensure comfort, it will lead to energy waste; too low power will lead to insufficient comfort. This solution solves this conflict by intelligently matching historical records, allowing the system to maintain comfort while reducing energy consumption.

[0155] The above embodiment discloses an intelligent ventilation system for an SMT workshop, comprising:

[0156] The switch group current state acquisition module is used to acquire the current state of the air valve switch group; wherein the air valve switch group includes an air valve switch for controlling M air valves;

[0157] The air valve weight acquisition module is used to obtain the spatiotemporal comprehensive weight of the air valve in the open state;

[0158] The ventilation status acquisition module is used to determine the current ventilation status of the workshop according to the current status of the air valve switch group and the time-space comprehensive weight;

[0159] The non-ventilation state acquisition module is used to obtain the current non-ventilation state of the workshop;

[0160] A comfort generation module is used to generate the current comfort level of the workshop according to the current ventilation state and non-ventilation state of the workshop;

[0161] A historical database construction module is used to construct a historical database using historical timestamps as indexes;

[0162] The optimal fan power matching module is used to match the optimal fan power in the historical database according to the current comfort level of the workshop; the optimal fan power represents the minimum fan power that maintains the current comfort level of the workshop.

[0163] The present invention implements the ventilation processes of Example 1 and Example 2 through the functions of the above modules and the cooperation between them.

[0164] In the technical solutions of Example 1 and Example 2, an activated carbon environmentally friendly adsorption box for air purification can be preset in the pipes of the ventilation system. The activated carbon environmentally friendly adsorption box is a box device that utilizes the porous structure characteristics of activated carbon to adsorb harmful substances in the air. Activated carbon has a highly developed pore structure and a huge specific surface area, which enables it to effectively adsorb harmful gases in the air, such as formaldehyde, benzene, sulfur dioxide, carbon monoxide, nitrogen oxides, etc. The activated carbon environmentally friendly adsorption box absorbs a large amount of harmful substances in the gas through its internal activated carbon layer, just like a sponge absorbs water, thereby achieving the purpose of purifying exhaust gas. Specifically, the activated carbon environmentally friendly adsorption box in this embodiment is two HXT-4 4-drawer adsorption boxes arranged in sequence front and back, which can maintain a good activated carbon adsorption effect under the condition of a ventilation volume of 20,000 m³ / H, and ensure that the exhaust gas is discharged after purification. ‌

[0165] The following implementation is an example of ventilation data for a SMT workshop, and the process is as follows:

[0166] 1. The system first collects the status and opening data of each air valve through the switch group current status acquisition module, and inputs it and other relevant data into the system.

[0167] 2. At a certain time t, the air valve status and time-space comprehensive weight of the air valve switch group are collected as follows:

[0168]

[0169] 3. Based on the status and opening data of each air valve, the system calculates the current ventilation status through the ventilation status acquisition module. The following is the data processing result based on the opening value of each air valve and the time-space comprehensive weight:

[0170]

[0171] 4. Through the non-ventilation status acquisition module, the system collects non-ventilation status data such as the current temperature and humidity, noise level, and static electricity accumulation in the workshop:

[0172]

[0173] According to the current ventilation state and non-ventilation state, the system calculates the comfort level of the current workshop as 78.5 through the comfort level generation module. 6. The system matches the historical records closest to the current comfort level from the historical database. After matching, the following historical record set is obtained:

[0174]

[0175] According to the matching results, the system selects the minimum fan power as =5.4kW as the current fan execution power.

[0176] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0177] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0178] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0179] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0180] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent ventilation system for an SMT workshop, characterized by: including a current state acquisition module of the switch group, configured to acquire the current state of the air valve switch group; wherein, the air valve switch group includes air valve switches for controlling M air valves an air valve weight acquisition module, configured to acquire the spatio-temporal comprehensive weight of the air valves in the open state a ventilation state acquisition module, configured to determine the current ventilation state of the workshop according to the current state of the air valve switch group and the spatio-temporal comprehensive weight; the acquisition steps of the ventilation state acquisition module include: Extract each from the current state of the air valve switch group =1 the opening value of the air valve ; For each =1 the opening value of the air valve Perform nonlinear processing; According to each =1, and weighted sum the opening values ​​after nonlinear processing to obtain the current ventilation state of the workshop; The expression of the current ventilation state of the workshop is: ; Among them, T is the current ventilation status of the workshop, is the threshold value of the air valve opening value; It indicates that the air valve opening value is processed nonlinearly, indicating that when the opening value exceeds the threshold, the ventilation effect is significantly improved. k is the steepness coefficient that controls the change of ventilation effect. a non-ventilation state acquisition module, configured to acquire the current non-ventilation state of the workshop; the acquisition steps of the non-ventilation state acquisition module include: detecting the current temperature and humidity of the workshop through a temperature and humidity sensor; collecting the current operating temperature of the equipment in the workshop through an embedded device temperature monitoring module; collecting the current noise level of the workshop through a noise sensor; collecting the current electrostatic accumulation amount of the workshop through an electrostatic detector; the vector expressions of several non-ventilation states are: ; in, Indicates the current temperature of the workshop. Indicates the current humidity of the workshop. Indicates the current noise level in the workshop. Indicates the current static electricity accumulation in the workshop; a comfort level generation module, configured to generate the current comfort level of the workshop according to the current ventilation state and non-ventilation state of the workshop; the expression of the generation process of the comfort level generation module is: ; Among them, C is the current comfort level of the workshop, They are the weight coefficients of the current ventilation status of the workshop, the current temperature of the workshop, the current humidity of the workshop, the current noise of the workshop, and the current static electricity accumulation amount of the workshop; and They are the comfortable temperature benchmark value and comfortable humidity benchmark value of the workshop respectively. and They respectively represent the impact of the current temperature and humidity of the workshop on comfort. and are the temperature attenuation coefficient and the humidity attenuation coefficient respectively; It represents the logarithmic effect of noise on comfort; a historical database construction module, configured to construct a historical database indexed by historical timestamps an optimal fan power matching module, configured to match the optimal fan power in the historical database according to the current comfort level of the workshop; wherein the optimal fan power represents the minimum fan power to maintain the current comfort level of the workshop 2. The SMT workshop intelligent ventilation system according to claim 1, characterized in that: The acquisition steps of the current state acquisition module of the switch group; include: S1-1, initialize the counter i = 1; the counter i is used to traverse the air valve list, and the air valve list pre-stores the air valve IDs of the air valves S1-2, detect the state and opening value of the i-th air valve switch S1-3, output the state value and opening value of the i-th air valve switch to the temporary memory S1-4, increment the calculator i = i + 1, and detect the next air valve switch If i < M, return to step 1-2 to continue detecting the next air valve switch When i = M, retrieve the state value and opening value of the temporary memory S1-5, summarize the current state values, opening values and air valve IDs of M air valves, and construct them into the current state of the air valve switch group; the expression of the current state of the air valve switch group is: ； Among them, V is the current state of the air valve switch group, M is the total number of air valves, is the opening and closing state of the i-th air valve, 0 means closed, 1 means open; is the opening value of the i-th air valve, ranging from 0% to 100%.

3. According to claim 1, the intelligent ventilation system for SMT workshop is characterized in that: The acquisition steps of the air valve weight acquisition module include: S2-1, screen out the air valves in the open state currently S2-2, match the spatio-temporal comprehensive weight of the air valves in the open state currently according to the air valve ID 4. The SMT workshop intelligent ventilation system according to claim 2, characterized in that: The acquisition steps of the air valve weight acquisition module further include: acquire the physical distance from the air valve to the ventilation outlet, and assign different distance weights according to different physical distances acquire the position of the air valve in the air duct hierarchy, and assign different hierarchical weights according to different hierarchical positions acquire the load time ratio of the air valve in the historical operation, and assign different historical time load weights according to different load time ratios determine the spatio-temporal comprehensive weight according to the distance weight, hierarchical weight and historical time load weight The acquisition method expression of the spatio-temporal comprehensive weight is: ； in, is the spatiotemporal comprehensive weight of the ith air valve; are weight coefficients, which control the coefficients of distance weight, hierarchy weight and historical time load weight respectively; is the physical distance from the ith damper to the vent, is the weight of the physical distance. The farther the distance, the lower the weight. is a parameter that controls the distance weight, The rapid reduction of ventilation efficiency due to physical distance is characterized by exponential decay; is the hierarchical weight of the i-th damper in the hierarchy; is the historical time load time ratio of the i-th damper; Historical time load weight.

5. The SMT workshop intelligent ventilation system according to claim 1, characterized in that: The construction steps of the historical database construction module include: S6-1, collecting the historical comfort level of the workshop and its corresponding historical fan power at the historical timestamp t; S6-2, constructing the historical comfort degree with a historical timestamp t and its corresponding historical fan power as historical records, and constructing the historical database of the historical records with the historical timestamp t as index; The expression of the historical record is: ; in, is the historical comfort level, is the historical wind turbine power; The expression of the historical database is: ; Among them, history is the historical database, is the i-th historical timestamp, is the historical comfort level at the i-th historical timestamp, is the historical wind turbine power at the i-th historical timestamp; Is the collection of all historical timestamps.

6. The intelligent ventilation system for SMT workshop according to claim 1, characterized in that: According to the current comfort level of the workshop, the optimal fan power is matched in the historical database; wherein the optimal fan power represents the minimum fan power for maintaining the current comfort level of the workshop, including: S7-1, matching a historical record set with the current comfort level of the workshop in the historical database; The expression of the historical record set is: ; Among them, J is the set of matched historical records, is the allowable difference for comfort matching, closest historical comfort level; S7-2, selecting a minimum fan power for maintaining the current comfort level of the workshop from the historical record set; The expression of the minimum fan power is: ; in, is the minimum fan power to maintain the current comfort level of the workshop, It is the historical fan power corresponding to the closest historical comfort level.

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