CN115167303A - Low-carbon control system and method for internal environment of factory - Google Patents

Abstract

The invention relates to a low-carbon control system and a low-carbon control method for an internal environment of a factory, wherein the system comprises a cloud server, an environment controller, an end effector and a sensor group installed at a factory facility, wherein the sensor group is used for acquiring environment parameters at the facility; the environment control instrument comprises a computing mainboard, a first communication module, a second communication module and a camera, wherein the first communication module, the second communication module and the camera are in signal connection with the computing mainboard; the first communication module is used for communicating with the sensor group and the end effector; the second communication module is used for communicating with the cloud server; the cloud server stores facility requirements; the cloud server calculates all alternatives capable of meeting requirements based on facility requirements, environment parameters and personnel adjusting requirements, selects a control scheme based on the carbon emission of each alternative, and controls the end effector to adjust the environment based on the control scheme. The invention can accurately control the temperature and the illumination in the factory and achieve energy saving and carbon reduction as much as possible.

Description

Low-carbon control system and method for internal environment of factory

Technical Field

The invention relates to the field of building energy conservation, in particular to a system and a method for controlling low carbon of an internal environment of a factory.

Background

With the development of economy and the deep implementation of the village pleasure strategy, the number of large factories in the rural area is gradually increased. The internal areas of the factory are wide, the subareas are numerous, and workers and production facilities are mixed, for example, a dairy processing factory generally comprises a raw material storage area, various production lines, a disinfection equipment area and the like, and workers in some areas are dense. These devices and personnel have certain requirements on the temperature and lighting conditions of the environment, for example, milk storage facilities have strict requirements on temperature and lighting, workers want to be warm in winter and cool in summer, and the like, and such requirements can change from time to time. Therefore, environmental conditioning equipment in a factory needs to be frequently controlled to meet environmental requirements as much as possible, including air conditioners, window curtains, lighting equipment and the like.

Rural plants are characterized by large space but small separation, so that more environmental conditioning equipment is coupled, such as air conditioners, which not only control the temperature of the area, but also diffuse and influence the temperature of the nearby area, and when curtains are opened in a high-temperature day, the rural plants not only increase the illumination, but also heat the nearby air; on the other hand, environmental conditioning equipment for a plant is typically quite numerous.

The above conditions present great difficulties for the control of the internal environment of the plant: (1) Firstly, people are inconvenient to control various air conditioners, lighting and lighting equipment in a large-space factory, and people often need to walk for a long distance by many people to adjust parameters of the equipment one by one, so that manpower is wasted. (2) Secondly, a reasonable environment control scheme is difficult to make, the environmental requirements of production machines, material facilities, finished product rooms and workers in a factory are different and dynamically changed, the surrounding area can be influenced by adjusting the environmental equipment in the area, and the coupling of various requirements and cross influence can hardly be comprehensively considered in the traditional environment control. (3) In addition, the environmental control of rural factories is extensive, which results in unnecessary waste of electric energy and high carbon emission, and therefore, a scientific factory internal environment low-carbon control system and method are urgently needed.

Disclosure of Invention

The invention provides a low-carbon control system and a low-carbon control method for an internal environment of a factory, which aim to solve the technical problems.

In order to solve the above technical problems, the present invention provides a low carbon control system for an internal environment of a factory, comprising a cloud server, an environment controller, an end effector and a sensor set installed at a factory facility,

the sensor group is used for acquiring environmental parameters at a facility;

the environment control instrument comprises a computing mainboard, a first communication module, a second communication module and a camera, wherein the first communication module, the second communication module and the camera are in signal connection with the computing mainboard, and the camera is used for acquiring personnel adjustment requirements; the first communication module is configured to communicate with the sensor suite and the end effector; the second communication module is used for communicating with the cloud server;

facility requirements are stored in the cloud server;

the cloud server calculates all alternatives capable of meeting the requirements based on the facility requirements, the environment parameters and the personnel adjustment requirements, selects a control scheme based on the carbon emission of each alternative, and controls the end effector to adjust the environment based on the control scheme.

Preferably, the camera collects the personnel demands based on action gestures of authorized personnel.

Preferably, the environmental control instrument further comprises an indicator light for sending information to personnel.

Preferably, the first communication module is a 5G module; the second communication module is a WIFI module.

Preferably, the end effector at least comprises an air conditioner, an intelligent curtain and a lighting lamp.

Preferably, the environmental parameters include at least temperature and illuminance.

The invention also provides a low-carbon control method for the internal environment of the factory, which is applied to the control system and comprises the following steps:

step 10: establishing a digital model of a factory and measuring and calculating an environmental influence matrix M of each end effector;

step 20: calculating facility adjustment requirements for each facility within the plant based on the facility requirements and the environmental parameters, the facility adjustment requirements including demand adjustments and no requirements;

and step 30: acquiring the personnel adjustment requirement by using the environment control instrument;

step 40: calculating all alternatives capable of meeting the facility adjustment demand and the personnel adjustment demand, calculating the carbon emissions of each alternative separately, selecting the alternative with the lowest carbon as the control scheme, and implementing control of the end effector in accordance with the control scheme.

Preferably, in the step 20, a difference between the environmental parameter and the facility demand is calculated, and when the difference is greater than a threshold value, the facility regulation demand is marked as needing to be regulated.

Preferably, when the facility regulation demand and the personnel regulation demand conflict, the facility regulation demand is taken as the standard.

Preferably, the step 40 includes:

step 41: pre-measuring the unit carbon emission of the end effector, and splicing the unit carbon emission into a vector C in sequence;

step 42: splicing the facility regulation demand and the personnel regulation demand into a demand vector T;

step 43: solving the matrix equation M X = T to obtain an alternative scheme;

step 44: multiplying the vector C of the unit carbon emission by X to obtain the total carbon emission of each alternative scheme; selecting the alternative with the lowest carbon as the control scheme; and controlling the end effector according to the control scheme to realize overall environmental control.

Compared with the prior art, the low-carbon control system and the low-carbon control method for the internal environment of the factory, provided by the invention, have the following advantages:

1. the method can quantitatively measure and calculate the carbon emission of all the feasible alternative schemes, and implements the scheme with the minimum carbon emission, thereby saving electric energy and reducing the carbon emission of factories;

2. according to the invention, the cloud server is utilized to comprehensively calculate the environment regulation alternative schemes meeting all requirements of production facilities and workers, so that the accuracy of environment regulation is improved;

3. the invention can fully automatically collect the requirements of factory facilities, and workers and managers can conveniently feed back individualized requirements and then automatically adjust the end executor without manual intervention, thereby saving the labor cost.

Drawings

FIG. 1 is a block diagram of a low carbon control system for the internal environment of a factory in accordance with one embodiment of the present invention;

FIG. 2 is a schematic diagram of an environmental controller according to an embodiment of the present invention;

fig. 3 is a flow chart illustrating a low-carbon control method for the internal environment of a factory according to an embodiment of the invention.

In the figure: 100-a cloud server, 200-an environment controller, 201-a computing mainboard, 202-5G modules, 203-a WIFI module, 204-a camera, 205-an indicator light, 206-a switch, 207-a display screen, 301-an air conditioner, 302-an intelligent curtain, 303-a lighting lamp and 400-a sensor group.

Detailed Description

In order to more thoroughly express the technical scheme of the invention, the following specific examples are listed to demonstrate the technical effect; it is emphasized that these examples are intended to illustrate the invention and are not to be construed as limiting the scope of the invention.

As shown in fig. 1, the low-carbon control system for the internal environment of a factory provided by the present invention includes a cloud server 100, an environment controller 200, an end effector, and a sensor group 400 installed at a factory facility. In some embodiments, the end effectors include at least an air conditioner 301, a smart window covering 302, and a lighting lamp 303 for conditioning the environment inside the plant. Of course, other devices for environmental control, such as a humidifier, a dehumidifier, and an air purifier, may be added according to the specific needs of the plant.

The sensor suite 400 is used to collect environmental parameters at a facility. The environmental parameters include at least temperature and illuminance, corresponding to the end effector. Of course, parameters such as humidity, PM value, noise value, etc. may be added as needed.

The environment controller 200 comprises a computing mainboard 201, and a first communication module, a second communication module and a camera 204 which are in signal connection with the computing mainboard 201, wherein the camera 204 is used for acquiring personnel adjustment requirements; the first communication module is used for communicating with the sensor group 400 and the end effector; the second communication module is configured to communicate with the cloud server 100. In some embodiments, the first communication module is the 5G module 202; the second communication module is a WIFI module 203.

The cloud server 100 stores facility requirements. In other words, for some production facilities sensitive to temperature or light or having special requirements, information such as the optimal ambient temperature or light intensity of these facilities needs to be stored in the cloud server 100 in advance.

The cloud server 100 calculates all alternatives capable of meeting the requirements based on the facility requirements, the environmental parameters and the personnel adjustment requirements, selects a control scheme based on the carbon emission of each alternative, and controls the end effector to adjust the environment based on the control scheme.

The invention can fully automatically collect the requirements of factory facilities, and workers and managers can conveniently feed back individualized requirements and then automatically adjust the end executor without manual intervention, thereby saving the labor cost; the cloud server 100 can be used for calculating an environment adjustment alternative scheme meeting all requirements of production facilities and workers in a comprehensive mode, and the accuracy of environment adjustment is improved; in addition, the invention can quantitatively measure and calculate the carbon emission of all the feasible alternative schemes, and implement the scheme with the minimum carbon emission, thereby saving electric energy and reducing the carbon emission of factories.

In some embodiments, the camera 204 captures the person needs based on the action gestures of the authorized person. In some embodiments, the environmental controller 200 may continuously collect face information via the camera 204 and compare the face information with a face existing in the rights bank to verify whether the user is a person with rights. In some embodiments, the environmental controller 200 may employ face recognition technology to perform identification and authentication by collecting data such as a face picture or video. In some embodiments, the meaning represented by the gesture signal may be predetermined and stored in the environmental controller 200, the video is continuously recorded through the camera 204, and after the motion gesture matched with the predetermined gesture signal is detected, the motion gesture is converted into the corresponding personnel adjustment requirement.

In some embodiments, the environmental controller 200 further includes an indicator light 205, and the indicator light 205 is configured to send information to a person, for example, the camera 204 captures information of a human face, and the information is activated after identification, so that a requirement for adjusting the person can be collected, and at this time, the indicator light 205 is turned on green.

Referring now to fig. 2, in some embodiments, the environmental control unit 200 is integrated into a single housing for ease of installation and maintenance. In some embodiments, the environmental control instrument 200 further includes a switch 206 for controlling the environmental control instrument 200 to turn on and off. In some embodiments, the environmental controller 200 further includes a display screen 207 for displaying the environmental parameters monitored by the sensor group 400, so that the personnel can visually observe and know the current environmental information.

Referring to fig. 3, the present invention further provides a low-carbon control method for an internal environment of a plant, which is applied to the control system described above, and includes the following steps:

step 10: and establishing a digital model of the factory and measuring and calculating an environmental influence matrix M of each end effector.

The method specifically comprises the following steps:

step 11: according to a design drawing of a factory, a digital model of the factory is established in computer software, and area division information of the factory is input, wherein the area division information can comprise an office area, a worker working area, a production equipment area and the like. Then, position information of the end effector, for example, positions of the air conditioner 301, the smart curtain 302, and the illumination lamp 303 are input.

Taking a certain country dairy product processing plant as an example one, it comprises 3 areas. The end effector has two air conditioners 301, two intelligent curtains 302 and two sets of lights 303.

Step 12: according to the positions of the air conditioners 301 and the intelligent curtains 302, combining geometric data of a building space, carrying out thermal environment simulation, and calculating the temperature influence of 1-degree increase of each air conditioner 301 on each area and the temperature influence of each intelligent curtain 302 on each area when being opened. These correspondences are stored as a two-dimensional matrix Mw. The element in the ith row and the jth column of the matrix is a coefficient of the degree to which the temperature of the ith area is influenced by the jth air conditioner 301 or the intelligent curtain 302. The illumination lamp 303 has no influence on the temperature, so the corresponding element is 0.

For example: the Mw has the following form, simulated in a thermal environment:

(1.00,0.20,0.00,0.10,0.00,0.00)

(0.20,1.00,0.10,0.10,0.00,0.00)

(0.50,0.50,0.10,0.10,0.00,0.00)。

step 13: according to the positions of the intelligent curtains 302 and the illuminating lamps 303, in combination with geometrical data of a building space, light environment simulation is carried out, and the illumination influence on each area when each intelligent curtain 302 is opened and the illumination influence on each area when each illuminating lamp 303 is opened are calculated. These correspondences are stored as a two-dimensional matrix Mg. The element in the ith row and the jth column of the matrix is a coefficient of the degree to which the lighting of the ith area is affected by the jth intelligent curtain 302 or the lighting lamp 303. The air conditioner 301 has no influence on the illuminance, so the corresponding element is 0.

For example: through light environment simulation, mg has the following form:

(0.00,0.00,100,0.00,50,50)

(0.00,0.00,0.00,100,100,0.00)

(0.00,0.00,50,50,0.00,100)。

step 14: the Mw and Mg are stacked vertically, i.e. forming the environmental impact matrix M.

For example: after stacking, the composition M =

(1.00,0.20,0.00,0.10,0.00,0.00)

(0.20,1.00,0.10,0.10,0.00,0.00)

(0.50,0.50,0.10,0.10,0.00,0.00)

(0.00,0.00,100,0.00,50,50)

(0.00,0.00,0.00,100,100,0.00)

(0.00,0.00,50,50,0.00,100)。

Step 20: facility regulatory requirements, including demand regulations (including turnup and turndown) and no requirements, for each facility within the plant are calculated based on the facility requirements and the environmental parameters.

The method specifically comprises the following steps:

step 21: find out the production facilities sensitive to temperature or illumination or having special requirements, store the optimum ambient temperature or illumination of these facilities to the cloud server 100 in advance.

Also taking example one, the optimum temperature of the production line in zone 1 is 20 degrees, and the illumination of the storage equipment in zone 3 is required to be less than 200LX.

Step 22: at a production facility sensitive to temperature or light, a sensor group 400, such as an internet of things sensor, is installed to monitor the temperature or light change condition near the facility and send the temperature or light change condition to the computing motherboard 201 through the 5G module 202 in real time. Calculating a difference value between the environmental parameters monitored by the sensor group 400 and the facility requirements stored in the cloud server 100, and when the difference value is greater than a threshold value, recording the facility adjustment requirements as needed adjustment. In some embodiments, the threshold may be a temperature difference greater than 2 degrees celsius, or an illumination difference greater than 10%.

Also taking the first embodiment as an example, the production line of the area 1 detects that the ambient temperature is 17 degrees, and since the optimum temperature of the production line of the area 1 is 20 degrees, and the difference is greater than the threshold value (2 degrees celsius), the facility adjustment requirement is "temperature +3". The illuminance of the storage device in zone 3 is 280LX, and the illuminance requirement of the storage device in zone 3 is less than 200LX, the regulation requirement is set to "illuminance-80".

Step 30: and acquiring the personnel adjustment requirement by utilizing the environment control instrument 200.

The method specifically comprises the following steps:

step 31: when the user needs to perform personalized control, a specific action is needed to call up the system, the system is activated after being identified by the camera 204, and the indicator light 205 is turned on.

Step 32: the camera 204 continuously collects face information to verify whether the user is a face existing in the rights bank. After passing the authentication, the green indicator lamp 205 blinks three times.

Step 33: the camera 204 continuously records the video, and at this time, the user inputs control information through action gestures, and then the control information is converted into a person adjustment requirement through video recognition.

Similarly, taking the first embodiment as an example, the workers in the area 2 feel dark, so that the workers cannot see the characters on the packaging bag clearly, and then the supervisor performs a fist making evoking gesture with both hands on the environmental control instrument 200, has permission after verification, performs a thumb up gesture after flashing a green light, and indicates that the illuminance of the area needs to be increased, so that the illuminance is converted into the illuminance +100 which is the requirement for adjusting the workers.

Step 34: at the off duty time, when recognizing that no worker exists in the area, the camera 204 automatically sends out a worker adjustment requirement: "adjust illuminance to zero" and "temperature is not required". Further reducing energy consumption.

It should be noted that: when the facility regulation demand and the personnel regulation demand conflict, the red light can be turned on through the indicator light 205 on the basis of the facility regulation demand, and the personnel is prompted to be unadjustable.

Step 40: calculating all alternatives capable of meeting the facility regulation demand and the personnel regulation demand, calculating the carbon emissions of each alternative separately, selecting the alternative with the lowest carbon as the control scheme, and implementing the control of the end effector according to the control scheme.

The step 40 comprises:

step 41: and measuring the unit carbon emission of the end effector in advance, and splicing the unit carbon emission into a vector C in sequence. The unit carbon emission of the air conditioner 301 is the carbon emission corresponding to the actual electric power for cooling/heating at a specific temperature; the carbon emission of the intelligent curtain 302 after being opened once is very small, and can be 0; the unit carbon emission of the illumination lamp 303 is the carbon emission corresponding to the rated power.

Also take embodiment one as an example: vector C of the above plant = (0.70, 0.80,0.00, 0.50, 0.20).

Step 42: and splicing the facility regulation requirement and the personnel regulation requirement into a requirement vector T, wherein the ith element of the vector T is the regulation requirement of the ith area.

In the first embodiment: summarizing the aforementioned requirements of this embodiment, it is found that if the temperature requirements of 3 regions are "+3, no requirement", respectively, and the illuminance requirements of 3 regions are "no requirement, -80, +100", respectively, then the vector T = (3,null, null, -80,100).

Step 43: solving the matrix equation M X = T, resulting in an alternative. If a certain requirement is "no requirement", then that row of the matrix equation is deleted, e.g., the temperature of the 5 th region is not required or limited, then the 5 th row of the matrix and the 5 th element of T are deleted. Each feasible solution X of the equation is an alternative, and each element xi of X corresponds to one end effector. For the air conditioner 301, xi is the target value of the air conditioner 301 influencing the ambient temperature, for the smart curtain 302, xi is the opening degree of the curtain, and for the illumination lamp 303, xi is whether the lamp is on, 0 is off, and 1 is on.

In the first embodiment: if there are 3 places with no requirement, delete M corresponding 2 nd, 3 rd, 4 th row, and leave the matrix equation as:

(1.00,0.20,0.00,0.10,0.00,0.00)

(0.00,0.00,0.00,100,100,0.00)*(x1,x2,x3,x4,x5,x6) ^T ＝(3,-80,100) ^T

(0.00,0.00,50,50,0.00,100)

the equation has infinite sets of solutions, but in practice the final solution must be extensive because the facility cannot be adjusted without limit. For example, two possible solutions of this equation within a reasonable range are:

Xa＝(2.7,1.0,0.0,1.0,-0.8,0.5)

Xb＝(3.0,0.0,0.5,1.0,-1.05,0.5)

taking the first solution as an example, if the 2 nd device is the air conditioner 301, x2=4.5 indicates that the air conditioner 301 is heating, and when the temperature target is reached, the energy consumption is equivalent to lowering the temperature of the region by 4.5 degrees alone. For another example, if the 4 th device is a smart window shade 302, x4=1.0 indicates that the window shade should be opened by 100%, i.e., fully opened. For another example, if the 5 th device is the illumination lamp 303, then x5= -0.8 indicates the number of 80% that the group of illumination lamps should be turned off.

Step 44: multiplying the vector C of the unit carbon emission by X to obtain the total carbon emission of each alternative scheme; selecting the alternative with the lowest carbon as the control scheme; and controlling the end effector according to the control scheme to realize overall environmental control.

In the first embodiment: xa times C gave 2.39 carbon emission equivalents, xb times C gave 1.65 carbon emission equivalents, and the b scheme is clearly more optimal. Therefore, the control can be performed according to the b scheme.

By adopting the control method, the scheme with the minimum carbon emission can be selected at low cost and high precision so as to save electric energy.

In summary, the system and method for controlling low carbon in an internal environment of a factory provided by the present invention includes a cloud server 100, an environment controller 200, an end effector, and a sensor group 400 installed at a factory facility; the sensor suite 400 is used to collect environmental parameters at a facility. Corresponding to the end effector, the environmental parameters include at least temperature and illuminance; the environment controller 200 comprises a computing mainboard 201, and a first communication module, a second communication module and a camera 204 which are in signal connection with the computing mainboard 201, wherein the camera 204 is used for acquiring personnel adjustment requirements; the first communication module is used for communicating with the sensor group 400 and the end effector; the second communication module is configured to communicate with the cloud server 100; the cloud server 100 stores facility requirements; the cloud server 100 calculates all alternatives capable of meeting the requirements based on the facility requirements, the environmental parameters and the personnel adjustment requirements, selects a control scheme based on the carbon emission of each alternative, and controls the end effector to adjust the environment based on the control scheme. The invention can fully automatically collect the requirements of factory facilities, and workers and managers can conveniently feed back individualized requirements and then automatically adjust the end effector without manual intervention, thereby saving the labor cost; the cloud server 100 can be used for calculating an environment regulation alternative scheme meeting all requirements of production facilities and workers in a lump, so that the accuracy of environment regulation is improved; in addition, the invention can quantitatively measure and calculate the carbon emission of all the feasible alternative schemes, and implement the scheme with the minimum carbon emission, thereby saving electric energy and reducing the carbon emission of factories.

It will be apparent to those skilled in the art that various changes and modifications may be made in the invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A low-carbon control system for the internal environment of a factory is characterized by comprising a cloud server, an environment controller, an end effector and a sensor group installed at a factory facility,

the sensor group is used for collecting environmental parameters at a facility;

the environment control instrument comprises a computing mainboard, a first communication module, a second communication module and a camera, wherein the first communication module, the second communication module and the camera are in signal connection with the computing mainboard, and the camera is used for acquiring personnel adjustment requirements; the first communication module is configured to communicate with the sensor suite and the end effector; the second communication module is used for communicating with the cloud server;

facility requirements are stored in the cloud server;

the cloud server calculates all alternatives capable of meeting requirements based on the facility requirements, the environment parameters and the personnel adjustment requirements, selects a control scheme based on the carbon emission of each alternative, and controls the end effector to adjust the environment based on the control scheme.

2. The plant internal environment low carbon control system of claim 1, wherein the camera collects the personnel needs based on action gestures of authorized personnel.

3. The plant interior environment low carbon control system of claim 1, wherein the environmental control unit further comprises an indicator light for sending information to personnel.

4. The plant internal environment low carbon control system of claim 1, wherein the first communication module is a 5G module; the second communication module is a WIFI module.

5. The plant interior environment low carbon control system of claim 1, wherein the end effectors include at least air conditioners, smart curtains, and lights.

6. The plant interior environment low carbon control system of claim 1, wherein the environmental parameters comprise at least temperature and illuminance.

7. A low-carbon control method for the internal environment of a factory is characterized by being applied to the control system of any one of claims 1 to 6 and comprising the following steps of:

step 10: establishing a digital model of a factory and measuring and calculating an environmental influence matrix M of each end effector;

step 20: calculating facility adjustment requirements for each facility within the plant based on the facility requirements and the environmental parameters, the facility adjustment requirements including demand adjustments and no requirements;

step 30: acquiring the personnel adjustment requirement by using the environment control instrument;

step 40: calculating all alternatives capable of meeting the facility adjustment demand and the personnel adjustment demand, calculating the carbon emissions of each alternative separately, selecting the alternative with the lowest carbon as the control scheme, and implementing control of the end effector in accordance with the control scheme.

8. The method for controlling low carbon in an internal environment of a factory according to claim 7, wherein in the step 20, a difference between the environmental parameter and the facility demand is calculated, and when the difference is greater than a threshold value, the facility regulation demand is recorded as needing to be regulated.

9. The method for controlling low carbon in the internal environment of the factory as claimed in claim 7, wherein when the facility regulation requirement and the personnel regulation requirement conflict, the facility regulation requirement is taken as a standard.

10. The method for controlling the low carbon in the internal environment of the factory as claimed in claim 7, wherein the step 40 comprises:

step 41: pre-measuring the unit carbon emission of the end effector, and splicing the unit carbon emission into a vector C in sequence;

step 42: splicing the facility regulation demand and the personnel regulation demand into a demand vector T;

step 43: solving the matrix equation M X = T to obtain an alternative scheme;

step 44: multiplying the vector C of the unit carbon emission by X to obtain the total carbon emission of each alternative scheme; selecting the alternative with the lowest carbon as the control scheme; and controlling the end effector according to the control scheme to realize overall environmental control.

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