阅读说明：本技术 一种基于大数据的智能发电机组 (Intelligent generator set based on big data ) 是由 易进 于 2021-10-27 设计创作，主要内容包括：本发明公开了一种基于大数据的智能发电机组,包括上盖板,所述上盖板的下方固定连接有机架,所述机架的下方轴承连接有转子,所述转子的外侧固定安装有外壳,所述外壳的内部固定安装有定子,所述转子的内部传动连接有输出轴,所述输出轴的下方传动连接有转轮,所述转轮的外侧设置有导叶,所述导叶的外侧固定安装有蜗壳,所述蜗壳的右侧开设有进水口,所述转轮的下方开设有尾水口,所述一种基于大数据的智能发电机组使用了智能水力发电系统,所述智能水力发电系统包括水轮发电机,所述水轮发电机包括水轮旋转速度计算模块,本发明,具有实用性和导叶打开角度能随着上游流量自动调节的特点。(The invention discloses an intelligent generator set based on big data, which comprises an upper cover plate, wherein a rack is fixedly connected below the upper cover plate, a rotor is connected with a bearing below the frame, a shell is fixedly arranged on the outer side of the rotor, a stator is fixedly arranged in the shell, the inner part of the rotor is connected with an output shaft in a transmission way, the lower part of the output shaft is connected with a rotating wheel in a transmission way, a guide vane is arranged on the outer side of the rotating wheel, a volute is fixedly arranged on the outer side of the guide vane, a water inlet is arranged on the right side of the volute, a tail water gap is arranged below the rotating wheel, the intelligent generator set based on big data uses an intelligent hydroelectric generation system, the intelligent hydroelectric generation system comprises a hydraulic generator, and the hydraulic generator comprises a hydraulic wheel rotation speed calculation module.)

1. The utility model provides an intelligent generating set based on big data, includes upper cover plate (8), its characterized in that: a frame (1) is fixedly connected to the lower portion of the upper cover plate (8), a rotor (2) is connected to a lower bearing of the frame (1), a shell is fixedly mounted on the outer side of the rotor (2), a stator (3) is fixedly mounted inside the shell, an output shaft is connected to the inner portion of the rotor (2) in a transmission mode, a rotating wheel (5) is connected to the lower portion of the output shaft in a transmission mode, a guide vane (4) is arranged on the outer side of the rotating wheel (5), a volute is arranged on the outer side of the guide vane (4), a water inlet (6) is formed in the right side of the volute, a tail water inlet (7) is formed in the lower portion of the rotating wheel (5), a connecting rod (9) is connected to an upper bearing of the guide vane (4), a control ring (10) is fixedly connected to one end of the connecting rod (9), and an air cylinder (11) is fixedly connected to the upper portion of the control ring (10);

the intelligent generating set based on the big data uses an intelligent hydroelectric generation system, the intelligent hydroelectric generation system comprises a hydraulic generator, the hydraulic generator comprises a hydraulic wheel rotation speed calculation module, the hydraulic wheel rotation speed calculation module comprises a volute water body flow speed calculation module and a guide vane control module, and the guide vane control module is electrically connected with a water guide control mechanism;

the water wheel rotating speed calculating module is used for calculating the rotating speed of the water wheel, the volute water body flow velocity calculating module is used for calculating the water body flow velocity in the volute, and the guide vane control module is used for controlling the opening of the guide vanes;

the volute water body flow velocity calculation module comprises a water body average flow velocity estimation module and a water head height calculation module, and the water body average flow velocity estimation module comprises a water body flow velocity detection module and a sediment content detection module;

the water body average flow velocity estimation module is used for estimating the average flow velocity of the water body, the water head height calculation module is used for calculating by searching upstream and downstream water level data according to the past hydrological condition, the water body flow velocity detection module is used for detecting the flow velocity of the water body surface, and the silt content detection module is used for detecting the silt amount in the water body.

2. The intelligent big data-based generator set according to claim 1, wherein: the silt content detection module comprises an infrared transmitting unit and an infrared receiving unit, and is electrically connected with the infrared transmitting unit and the infrared receiving unit;

the infrared transmitting unit is used for transmitting infrared rays to enable the infrared rays to penetrate through the water body, and the infrared receiving unit is used for receiving the infrared rays penetrating through the water body.

3. The intelligent big data-based generator set according to claim 2, wherein: the intelligent hydroelectric power generation system comprises the following operation steps:

s1, respectively detecting the water flow rate on the river surface and the sediment in the river by using the water flow rate detection module and the sediment content detection module;

s2, then, quantitatively calculating the flow velocity of the upstream water body by using a water body average flow velocity estimation module;

s3, searching past hydrological records and current detection data, and calculating the height of the water head;

s4, quantitatively calculating the flow velocity of the water body in the volute according to the flow velocity and the water head height of the upstream water body by using a volute water body flow velocity calculation module;

s5, reversely deducing the rotor speed required by the generator according to the frequency of the alternating current generated by the generator;

s6, analyzing the opening degree of the guide vane by using the guide vane control module according to the rotating speed of the generator rotor and the flow velocity of the volute water body, so that the rotor of the generator can always keep a stable rotating speed along with the flow of the water body.

4. The intelligent big data-based generator set according to claim 3, wherein: in S1, utilize the velocity of flow of velocity of flow calculation appearance to the water surface to detect, when detecting silt content, sample the water earlier, reuse infrared emission unit, pierce through the water with the infrared ray, utilize infrared receiving unit to receive the infrared ray after being absorbed by the water afterwards, when the infrared ray passes through the suspended sand water, the solute can absorb the light energy, absorptive quantity is relevant with absorption medium and degree of depth, silt granule can carry out the scattering to the light simultaneously, get into the water as the ray, after being absorbed, see through the relation between the intensity of light and the intensity of incident light, can express through beer-Lambert law: a = Kbc, wherein A is absorbance, K is molar absorption coefficient, which is related to the property of the absorbing material and the wavelength of the incident light, c is the concentration of the absorbing material, b is the thickness of the absorbing layer, i.e. the depth of the water body, the amount of silt in the water body can be determined by the above formula, and the absorbance A can be calculated by the light intensity of the transmitting unit and the light intensity of the receiving unit.

5. The intelligent big data-based generator set according to claim 4, wherein: in S2, the flow velocity measuring instrument is used to perform flow velocity detection on the water on the surface of the river and the water at the bottom of the river to obtain the flow velocity of the water on the surface of the river and the flow velocity of the water at the bottom of the river, and the average flow velocity is determined by using the flow velocity measuring instrument and the water, and the average flow velocity is used as the overall flow velocity of the water in the river.

6. The intelligent big data-based generator set according to claim 5, wherein: in S4, the kinetic energy of the water body in the spiral case is equal to the sum of the kinetic energy of the upstream water and the gravitational potential energy of the upstream water, so as to obtain:

wherein V is the upstream water flow velocity, h is the height difference between the upstream water level and the downstream water level, m is the water mass,is a body of waterThe mass of the medium sediment, g is a gravity constant, and c is the sediment amount.

7. The intelligent big data-based generator set according to claim 6, wherein: in S5, the frequency of the alternating current has a linear relationship with the rotation speed, and the formula of the rotation speed and the frequency is: n =60f/p, n is the rotation speed of the rotor, f is the frequency, and p is the pole pair number of the magnetic field, thereby obtaining the rotation speed of the rotor capable of keeping the current frequency stable.

8. The intelligent big data-based generator set according to claim 7, wherein: in S6, the linear velocity of the rotation of the rotor (2) can be obtained from the rotation speed n of the rotor (2), the linear velocity of the rotation of the rotor is the same as the rotation speed of the runner (5), and the rotation of the runner (5) is caused by the flow of the water between the guide vanes (4), so that the rotation speed of the runner (5) is the same as the flow speed of the water between the guide vanes (4), and the flow in the volute is the same as the flow between the guide vanes (4), and it can be obtained:in the formula (I), wherein,is the cross-sectional area within the volute,is the flow velocity of the water body in the volute,is the flow velocity of the water body between the guide vanes (4),the gap area between the guide vanes (4) can be calculated by the formulaBy usingThe gap between the guide vanes and the height of the guide vanes is solved, so that the guide vane control module is utilized to control the air pressure difference between the air cylinders (11) and further control the opening angle of the guide vanes (4), the rotating speed of the rotor (2) can be kept stable along with the flow of the water body, and the air pressure differenceComprises the following steps:

where k is the feed length per unit pressure cylinder,is the number of guide vanes, r is the radius of the control ring and w is the opening angle of the guide vanes (4).

Technical Field

The invention relates to the technical field of generator sets, in particular to an intelligent generator set based on big data.

Background

The hydraulic generator is a generator which takes a hydraulic turbine as a prime mover to convert water energy into electric energy. When water flows through the water turbine, water energy is converted into mechanical energy, a rotating shaft of the water turbine drives a rotor of the generator, and the mechanical energy is converted into electric energy to be output.

The existing generator set is poor in practicability, the flow velocity of a river channel at the upper part is different in flood season and dry season, the sand content can be changed, the flow velocity of a water body in a volute is influenced, the rotating speed of a rotor needs to be kept stable in order to keep the power generation frequency of a generator, a guide vane needs to be adjusted when the flow of the river channel changes seasonally, and therefore the flow is controlled, and therefore the intelligent generator set based on the big data is necessary to design the practicability and the guide vane opening degree along with the automatic adjustment of the flow at the upper part.

Disclosure of Invention

The invention aims to provide an intelligent generator set based on big data to solve the problems in the background technology.

In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides an intelligent generating set based on big data, includes the upper cover plate, the below fixedly connected with frame of upper cover plate, the below bearing of frame is connected with the rotor, the outside fixed mounting of rotor has the shell, the inside fixed mounting of shell has the stator, the internal drive of rotor is connected with the output shaft, the below transmission of output shaft is connected with the runner, the outside of runner is provided with the stator, the outside of stator is provided with the spiral case, the water inlet has been seted up on the right side of spiral case, the tail mouth of a river has been seted up to the below of runner, the top bearing of stator is connected with the connecting rod, the one end fixedly connected with control ring of connecting rod, the top fixedly connected with cylinder of control ring.

According to the technical scheme, the intelligent generating set based on the big data uses an intelligent hydroelectric generation system, the intelligent hydroelectric generation system comprises a water wheel generator, the water wheel generator comprises a water wheel rotation speed calculation module, the water wheel rotation speed calculation module comprises a volute water body flow speed calculation module and a guide vane control module, and the guide vane control module is electrically connected with a water guide control mechanism;

the water wheel rotation speed calculation module is used for calculating the rotation speed of the water wheel, the volute water body flow velocity calculation module is used for calculating the water body flow velocity in the volute, and the guide vane control module is used for controlling the opening degree of the guide vanes.

According to the technical scheme, the volute casing water body flow velocity calculation module comprises a water body average flow velocity estimation module and a water head height calculation module, and the water body average flow velocity estimation module comprises a water body flow velocity detection module and a sediment content detection module;

the water body average flow velocity estimation module is used for estimating the average flow velocity of the water body, the water head height calculation module is used for calculating by searching upstream and downstream water level data according to the past hydrological condition, the water body flow velocity detection module is used for detecting the flow velocity of the water body surface, and the silt content detection module is used for detecting the silt amount in the water body.

According to the technical scheme, the sediment content detection module comprises an infrared transmitting unit and an infrared receiving unit, and the sediment content detection module is electrically connected with the infrared transmitting unit and the infrared receiving unit;

the infrared transmitting unit is used for transmitting infrared rays to enable the infrared rays to penetrate through the water body, and the infrared receiving unit is used for receiving the infrared rays penetrating through the water body.

According to the technical scheme, the intelligent hydroelectric power generation system comprises the following operation steps:

s1, respectively detecting the water flow rate on the river surface and the sediment in the river by using the water flow rate detection module and the sediment content detection module;

s2, then, quantitatively calculating the flow velocity of the upstream water body by using a water body average flow velocity estimation module;

s3, searching past hydrological records and current detection data, and calculating the height of the water head;

s4, quantitatively calculating the flow velocity of the water body in the volute according to the flow velocity and the water head height of the upstream water body by using a volute water body flow velocity calculation module;

s5, reversely deducing the rotor speed required by the generator according to the frequency of the alternating current generated by the generator;

s6, analyzing the opening degree of the guide vane by using the guide vane control module according to the rotating speed of the generator rotor and the flow velocity of the volute water body, so that the rotor of the generator can always keep a stable rotating speed along with the flow of the water body.

According to the technical scheme, in S1, utilize the velocity of flow of velocity of flow calculation appearance to the water surface to detect, when detecting silt content, sample the water earlier, reuse infrared emission unit, pierce through the water with the infrared ray, utilize infrared receiving unit to receive the infrared ray after being absorbed by the water afterwards, when the infrared ray passes through the husky water of hanging, the solute can absorb the luminous energy, absorptive quantity is relevant with absorption medium and degree of depth, silt granule can scatter the light simultaneously, get into the water as the ray, after being absorbed, see through the relation between the intensity of light and the intensity of incident light, can express through beer-Lambert' S law:wherein A is absorbance, K is molar absorption coefficient, which is related to the property of the absorbing substance and the wavelength of the incident light, c is the concentration of the absorbing substance, and b is the thickness of the absorbing layer, namely the depth of the water body.

According to the technical scheme, in the step S2, the flow velocity measurement is performed on the water body on the surface of the river channel and the water body at the bottom of the river channel by using the flow velocity measurement instrument to obtain the flow velocity of the water body on the surface of the river channel and the flow velocity of the water body at the bottom of the river channel, the average flow velocity is obtained by using the flow velocity measurement instrument and the water body, and the average flow velocity is used as the overall flow velocity of the water body in the river channel.

According to the above technical solution, in S4, the kinetic energy of the water body in the volute is equal to the sum of the kinetic energy of the upstream water and the gravitational potential energy of the upstream water, so as to obtain:

wherein V is the upstream water flow velocity, h is the height difference between the upstream water level and the downstream water level, m is the water mass,the mass of the silt in the water body, g is a gravity constant, and c is the amount of the silt.

According to the above technical solution, in S5, the frequency of the alternating current has a linear relationship with the rotation speed, and the formula of the rotation speed and the frequency is: n =60f/p, n is the rotation speed of the rotor, f is the frequency, and p is the pole pair number of the magnetic field, thereby obtaining the rotation speed of the rotor capable of keeping the current frequency stable.

According to the above technical solution, in S6, the linear velocity of the rotation of the rotor may be obtained according to the rotation speed n of the rotor, the linear velocity of the rotation of the rotor is the same as the rotation speed of the runner, the rotation of the runner is caused by the flow of the water between the guide vanes, so that the rotation speed of the runner is the same as the flow velocity of the water between the guide vanes, and the flow rate in the volute is the same as the flow rate between the guide vanes, so that:in the formula (I), wherein,is the cross-sectional area within the volute,is the flow velocity of the water body in the volute,is the flow velocity of the water body between the guide vanes,the gap area between the guide vanes can be calculated by the formulaBy usingAnd the height of the guide vane to obtain the gap between the guide vanes, so that the guide vane control module is used for controlling the air pressure difference between the cylinders and further controlling the opening angle of the guide vanes, the rotating speed of the rotor can be kept stable along with the flow of the water body, and the air pressure differenceComprises the following steps:

where k is the feed length per unit pressure cylinder,for the number of vanes, r is the radius of the control ring and w is the opening angle of the vanes.

Compared with the prior art, the invention has the following beneficial effects: according to the invention, the average flow velocity of the upstream water body is obtained by detecting the surface of the water body and the silt content, the flow velocity of the water body in the volute is calculated by the volute water body flow velocity calculation module, the stable rotor rotation speed is kept according to the power generation frequency of the generator, so that the gap between the guide vanes is obtained, and the gap between the guide vanes is controlled by the guide vane control module, so that the rotation speed of the rotor can be kept stable along with the change of the upstream water body flow velocity.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a schematic overall elevational cross-sectional structural view of the present invention;

FIG. 2 is a system block diagram of the present invention;

FIG. 3 is a schematic structural view of the water guide control mechanism of the present invention;

in the figure: 1. a frame; 2. a rotor; 3. a stator; 4. a guide vane; 5. a rotating wheel; 6. a water inlet; 7. a tail water port; 8. an upper cover plate; 9. a connecting rod; 10. a control loop; 11. and a cylinder.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-3, the present invention provides the following technical solutions: the utility model provides an intelligent generating set based on big data, includes upper cover plate 8, its characterized in that: a frame 1 is fixedly connected below an upper cover plate 8, a rotor 2 is connected to a lower bearing of the frame 1, a shell is fixedly mounted on the outer side of the rotor 2, a stator 3 is fixedly mounted on the inner side of the shell, an output shaft is connected to the inner part of the rotor 2 in a transmission manner, a rotating wheel 5 is connected to the lower part of the output shaft in a transmission manner, a guide vane 4 is arranged on the outer side of the rotating wheel 5, a volute is fixedly mounted on the outer side of the guide vane 4, a water inlet 6 is formed in the right side of the volute, a tail water port 7 is formed below the rotating wheel 5, a connecting rod 9 is connected to an upper bearing of the guide vane 4, a control ring 10 is fixedly connected to one end of the connecting rod 9, and a cylinder 11 is fixedly connected above the control ring 10; when power generation is carried out, an upstream water body flows into the volute from the upstream and passes through the guide vane 4, the water body drives the rotating wheel 5 to rotate, so that an output shaft above the rotating wheel 5 is driven to rotate, the rotor 2 is driven to rotate, the generator is driven to rotate to generate power, then the feeding length of the air cylinder 11 is controlled to enable the control ring 10 to rotate for a certain angle, so that the inclination of the guide vane 4 is controlled, and the flow of inlet water is further controlled.

An intelligent generating set based on big data uses an intelligent hydroelectric generation system, the intelligent hydroelectric generation system comprises a water wheel generator, the water wheel generator comprises a water wheel rotation speed calculation module, the water wheel rotation speed calculation module comprises a volute water body flow speed calculation module and a guide vane control module, and the guide vane control module is electrically connected with a water guide control mechanism;

the water wheel rotation speed calculation module is used for calculating the rotation speed of the water wheel, the volute water body flow velocity calculation module is used for calculating the water body flow velocity in the volute, and the guide vane control module is used for controlling the opening of the guide vanes.

The volute water body flow velocity calculation module comprises a water body average flow velocity estimation module and a water head height calculation module, and the water body average flow velocity estimation module comprises a water body flow velocity detection module and a sediment content detection module;

the water body average flow velocity estimation module is used for estimating the average flow velocity of the water body, the water head height calculation module is used for solving by searching upstream and downstream water level data according to the past hydrological condition, the water body flow velocity detection module is used for detecting the flow velocity of the water body surface, and the sediment content detection module is used for detecting the sediment amount in the water body.

The silt content detection module comprises an infrared transmitting unit and an infrared receiving unit, and is electrically connected with the infrared transmitting unit and the infrared receiving unit;

the infrared transmitting unit is used for transmitting infrared rays to enable the infrared rays to penetrate through the water body, and the infrared receiving unit is used for receiving the infrared rays penetrating through the water body.

The intelligent hydroelectric power generation system comprises the following operation steps:

s1, respectively detecting the water flow rate on the river surface and the sediment in the river by using the water flow rate detection module and the sediment content detection module;

s2, then, quantitatively calculating the flow velocity of the upstream water body by using a water body average flow velocity estimation module;

s3, searching past hydrological records and current detection data, and calculating the height of the water head;

s4, quantitatively calculating the flow velocity of the water body in the volute according to the flow velocity and the water head height of the upstream water body by using a volute water body flow velocity calculation module;

s5, reversely deducing the rotor speed required by the generator according to the frequency of the alternating current generated by the generator;

s6, analyzing the opening degree of the guide vane by using the guide vane control module according to the rotating speed of the generator rotor and the flow velocity of the volute water body, so that the rotor of the generator can always keep a stable rotating speed along with the flow of the water body.

In S1, utilize the velocity of flow of velocity of flow calculation appearance to the water surface to detect, when detecting silt content, sample the water earlier, reuse infrared emission unit, pierce through the water with the infrared ray, utilize infrared receiving unit to receive the infrared ray after being absorbed by the water afterwards, when the infrared ray passes through the husky water of hanging, the solute can absorb the light energy, absorptive quantity is relevant with absorption medium and degree of depth, silt granule can scatter the light simultaneously, get into the water as the ray, after being absorbed, see through the relation between the intensity of light and the intensity of incident light, can express through beer-Lambert' S law:wherein A is absorbance, K is molar absorption coefficient, which is related to the property of the absorbing substance and the wavelength of the incident light, c is the concentration of the absorbing substance, and b is the thickness of the absorbing layer, namely the depth of the water body.

In the step S2, the flow velocity measuring instrument is used to perform flow velocity detection on the water body on the surface of the river channel and the water body at the bottom of the river channel, so as to obtain the flow velocity of the water body on the surface of the river channel and the flow velocity of the water body at the bottom of the river channel, and the average flow velocity is determined by using the flow velocity and the water body, and the average flow velocity is used as the overall flow velocity of the water body in the river channel.

At S4, the kinetic energy of the water body in the spiral case is equal to the sum of the kinetic energy of the upstream water and the gravitational potential energy of the upstream water, so as to obtain:

wherein V is the upstream water flow velocity, and h is the water level at the upstream and the water at the downstreamThe height difference between the positions, m is the mass of the water body,the mass of the silt in the water body, g is a gravity constant, and c is the amount of the silt.

In S5, the frequency of the alternating current has a linear relationship with the rotation speed, and the formula of the rotation speed and the frequency is: n =60f/p, n is the rotation speed of the rotor, f is the frequency, and p is the pole pair number of the magnetic field, thereby obtaining the rotation speed of the rotor capable of keeping the current frequency stable.

In S6, the linear velocity of the rotation of the rotor 2 can be obtained from the rotation speed n of the rotor 2, the linear velocity of the rotation of the rotor is the same as the rotation speed of the runner 5, the rotation of the runner 5 is caused by the flow of the water between the guide vanes 4, so the rotation speed of the runner 5 is the same as the flow velocity of the water between the guide vanes 4, and the flow rate in the volute is the same as the flow rate between the guide vanes 4, and it can be obtained:in the formula (I), wherein,is the cross-sectional area within the volute,is the flow velocity of the water body in the volute,is the flow velocity of the water between the guide vanes 4,for the gap area between the guide vanes 4, the gap area between the guide vanes 4 can be calculated by the above formulaBy usingCalculating the height of the guide vaneThe gap between the guide vane control module and the guide vane 4 is controlled by the guide vane control module to control the air pressure difference between the air cylinders 11 and further control the opening angle of the guide vane 4, so that the rotating speed of the rotor 2 can be kept stable along with the flow of the water body, and the air pressure differenceComprises the following steps:

where k is the feed length per unit pressure cylinder,to the number of vanes, r is the radius of the control ring and w is the opening angle of the vanes 4.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.