Intelligent sludge discharge system

Abstract

The invention discloses an intelligent sludge discharge system, relates to the technical field of intelligent sludge discharge, solves the problems that the original sludge discharge time is long, data is not accurate enough, and the sludge discharge position cannot be accurately positioned, and determines the sludge height of each different area in a sedimentation tank, and accurately corresponds to the moving process of a sludge discharge machine based on a range finder. The sludge height of the relevant point position confirmed by the corresponding sludge level meter is confirmed, then the relevant model surface of the sludge in the corresponding area is confirmed based on relevant detection equipment, and the standard height of the corresponding model surface can be effectively confirmed based on the corresponding model surface and the sludge height of the corresponding relevant point position, so that the confirmed value is more accurate; and on the basis of the standard height confirmed by the corresponding area, different sludge discharge treatment logics are determined, the sludge discharge process is automatically completed, the sludge discharge efficiency is improved, the better sludge discharge effect is achieved, and the labor intensity and time of water production staff are reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent mud discharge technology, and in particular to an intelligent mud discharge system. Background Art

[0002] At present, the sludge discharge cycle of water plants needs to be set manually based on experience. Due to the changes in water production, raw water quality, post-settling water quality, and pharmaceutical dosage in different periods, manual daily inspections are required, and the height of sludge in the horizontal sedimentation tank is dynamically adjusted based on naked eye observation. It is generally 24 hours in summer and 24-48 hours in winter.

[0003] Manual observation of the distribution of sludge in the sedimentation tank and the concentration of sludge water does not yield accurate data and there are large differences between work teams; sludge discharge requires multiple round trips and takes a long time; the solid content of sludge water is low, the tailings treatment time is long, and the power consumption is high.

[0004] Based on reducing manual intervention, improving mud discharge efficiency, reducing mud discharge water volume and saving overall power consumption, the concept of intelligent mud discharge control system is proposed. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent mud discharge system, which solves the problem of long original mud discharge time and inaccurate data.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a smart mud discharge system, comprising:

[0007] The mud quantity confirmation center confirms the associated data generated in each production process, and locks the mud quantity associated with the corresponding process based on the associated data of the corresponding process. When the accumulated total mud quantity exceeds the limit value, a mud discharge signal is generated and transmitted to the primary control end. The specific method is as follows:

[0008] Using S = 1.29C0Q × 10 -2 +0.162D1+0.644D2+B1+0.553B2 confirms the amount of mud S associated with the corresponding process, where C0 represents the turbidity of raw water, Q represents the amount of water produced, D1 represents the consumption of polyaluminium ferric chloride, D2 represents the consumption of ferric chloride, B1 represents the consumption of powdered activated carbon, and B2 represents the consumption of potassium permanganate;

[0009] The amount of mud S produced in each different production process is calibrated as S i , where i represents different production processes, and the amount of sludge S generated continuously belongs to different production processes iPerform summation to determine the total value ZH. When the total value ZH satisfies: ZH ≥ 12.5t, t represents tons, a mud discharge signal is generated. If ZH < 12.5t, continue monitoring until ZH ≥ 12.5t, and generate a mud discharge signal. When the mud discharge signal is generated, reconfirm the total value, and calibrate the next production process as the first production process for recalculation.

[0010] The primary control end controls the movement of the sludge discharger based on the generated sludge discharge signal, and preferentially executes a set of movement cycles to complete the sampling process of the sludge surface in different areas inside the sedimentation tank, and transmits the regional bundled data packets generated in the sampling process to the acquisition data processing end. The specific method is as follows:

[0011] Based on the confirmed mud discharge signal, the mud discharger is controlled to move above the sedimentation tank. During the movement, the mud level of the corresponding associated points is confirmed in real time based on the mud level meter set by the mud discharger, and the moving distance is accurately recorded based on the distance meter. When the moving distance reaches 3m, the area covered by this movement is divided into a group of moving areas, and the confirmed mud level heights of several associated points are bundled to generate a regional bundled data package;

[0012] An acoustic wave device is arranged outside the mud level meter, and the acoustic wave device performs acoustic wave detection processing on the surface sludge of the moving area associated with this moving process, and generates a sludge model surface about this moving area based on the specific data associated with the acoustic wave detection, and synchronously places this sludge model surface in the regional bundled data package associated with this moving area;

[0013] The data collection processing end confirms the mud level of each moving area-related point based on the regional bundled data package associated in the sampling process, and then confirms the height of other surrounding points based on the sludge model surface of the sludge corresponding to each different moving area, and then locks the standard height associated with the corresponding moving area, and transmits the determined standard height to the execution logic confirmation end, and records the moving distance based on the moving process of the rangefinder on the sludge discharger. When the moving distance reaches 3m, the specific method is as follows:

[0014] Based on the sludge model surface of the corresponding mobile area confirmed in the regional bundled data package, the sludge level height is determined based on a number of associated points in the sludge model surface;

[0015] The bottom plane of the sedimentation tank is used as the base plane, and the associated points with mud level height are calibrated as reference points. The horizontal difference height between several different points on the surface of the sludge model and the reference point is confirmed from the surface, and the actual height of different points is locked;

[0016] Based on the actual heights of different points on the surface of the sludge model, several groups of actual heights are averaged to determine the standard height associated with the moving area;

[0017] The database stores the pre-set execution logic, which is extracted by the execution logic confirmation end;

[0018] The execution logic confirmation end, based on the different standard heights associated with each different moving area, confirms the execution logic associated with it from the database and performs mud discharge processing. The specific processing method is:

[0019] The different standard heights associated with each different moving area are calibrated as G k , where k represents different mobile areas;

[0020] When G k When the height is ≤0.2m, no mud discharge treatment is required;

[0021] When 0.2m<G k When the height is ≤0.3m, the first execution logic is executed, which includes: the gantry crane moves at 50HZ and the siphon pump stops;

[0022] When 0.3m<G k When the height is ≤0.5m, the second execution logic is executed, which includes: the gantry crane moves at 30HZ and the siphon pump is operated synchronously;

[0023] When 0.5m<G k When the sludge concentration is less than 0.6m, the third execution logic is executed, which includes: when the gantry truck is controlled to stop for 20s or the real-time monitored sludge concentration value is lower than 4000, the gantry truck is controlled to move at 50HZ and the siphon pump is operated synchronously;

[0024] When 0.6m<G k When the gantry crane is stopped for 50 seconds or the sludge concentration value monitored in real time is lower than 4000, the gantry crane is controlled to move at 50 Hz and the siphon pump is operated synchronously.

[0025] Preferably, the associated data include raw water turbidity, polyaluminium chloride ferric consumption, ferric chloride consumption, powdered activated carbon consumption, potassium permanganate consumption and water production, wherein the raw water turbidity and water production are collected by designated sensors, and the corresponding polyaluminium chloride ferric consumption, ferric chloride consumption, powdered activated carbon consumption and potassium permanganate consumption are directly extracted from the usage data associated with the corresponding production process, and the corresponding polyaluminium chloride ferric consumption, ferric chloride consumption, powdered activated carbon consumption and potassium permanganate consumption are collected and converted by the corresponding sensors.

[0026] Preferably, when the acoustic wave device performs acoustic wave detection, it performs real-time detection based on the movement process of the corresponding sludge discharger, and the detection direction is perpendicular to the movement direction of the sludge discharger. The acoustic wave device performs real-time detection and processing on the vertical line to confirm the sludge curve associated with the vertical line. During continuous movement, the corresponding sludge model surface is generated in real time based on the real-time generated sludge curve.

[0027] The present invention provides a smart mud discharge system. Compared with the prior art, it has the following beneficial effects:

[0028] The present invention accurately determines the position of the mud discharger through a rangefinder and records the moving process of the mud discharger in real time, thereby avoiding the situation where mud cannot be accurately discharged at any position.

[0029] The present invention confirms the sludge height of each different area inside the sedimentation tank, confirms the sludge height of the relevant points confirmed by the corresponding mud level meter based on the moving process of the corresponding mud discharger, and then confirms the relevant model surface of the sludge in the corresponding area based on the relevant detection equipment. Based on the corresponding model surface and the sludge height of the corresponding relevant points, the standard height of the corresponding model surface can be effectively confirmed, so that the confirmed value is more accurate and a better value confirmation effect can be achieved;

[0030] Based on the standard height confirmed in the corresponding area, different sludge discharge processing logics are determined, the sludge discharge process is completed independently, the sludge discharge efficiency is improved, better sludge discharge effects are achieved, and the labor intensity and time of the water production team are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0032] 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.

[0033] First embodiment

[0034] See also Figure 1 , the present application provides a smart mud discharge system, including a mud quantity confirmation center, a primary control terminal, a data collection processing terminal, an execution logic confirmation terminal and a database, wherein the mud quantity confirmation center, the primary control terminal, the data collection processing terminal and the execution logic confirmation terminal are electrically connected from the output node to the input node in sequence, and the database is electrically connected to the input node of the execution logic confirmation terminal;

[0035] Among them, the mud quantity confirmation center confirms the associated data generated in each production process, and locks the mud quantity associated with the corresponding process based on the associated data of the corresponding process. When the accumulated total mud quantity exceeds the limit value, a mud discharge signal is generated and transmitted to the primary control end. Specifically, the associated data include raw water turbidity, polyaluminum ferric chloride consumption, ferric chloride consumption, powdered activated carbon consumption, potassium permanganate consumption and water production. The raw water turbidity and water production are collected by designated sensors, and the corresponding polyaluminum ferric chloride consumption, ferric chloride consumption, powdered activated carbon consumption, and potassium permanganate consumption are directly extracted from the consumption data associated with the corresponding production process.

[0036] Among them, the specific method of confirming the mud volume associated with the corresponding process is:

[0037] Using S = 1.29C0Q × 10 -2 +0.162D1+0.644D2+B1+0.553B2 confirms the amount of mud S associated with the corresponding process, where C0 represents the turbidity of raw water, Q represents the amount of water produced, D1 represents the consumption of polyaluminium ferric chloride, D2 represents the consumption of ferric chloride, B1 represents the consumption of powdered activated carbon, and B2 represents the consumption of potassium permanganate;

[0038] The amount of mud S produced in each different production process is calibrated as S i , where i represents different production processes (it can be understood that a set of production processes will be executed every day, so the corresponding amount of mud will be generated every day), and the amount of mud S that belongs to different production processes is continuously generated. i Perform summation to determine the total value ZH. When the total value ZH satisfies: ZH ≥ 12.5t, t represents tons, a mud discharge signal is generated. If ZH < 12.5t, continue monitoring until ZH ≥ 12.5t, and generate a mud discharge signal. When the mud discharge signal is generated, reconfirm the total value, and calibrate the next production process as the first production process for recalculation.

[0039] Specifically, the raw water turbidity (the daily average value is captured by the raw water turbidity meter in the plant), the water production (the accumulated flow of the sedimentation tank), the raw material consumption (the consumption is converted from the data captured by the sensor), the system accumulation, and the total mud volume accumulated by the system is calculated daily; the total mud volume calculation data are all automatically captured and calculated by the computer. At present, the total mud volume limit when discharging mud from the sedimentation tank is temporarily set at 12.5t;

[0040] The primary control end controls the movement of the sludge discharger based on the generated sludge discharge signal, and preferentially executes a set of movement cycles to complete the sampling process of the sludge surface in different areas of the sedimentation tank, and transmits the regional bundled data packets generated in the sampling process to the acquisition data processing end. The sampling process specifically includes:

[0041] Based on the confirmed mud discharge signal, the mud discharger is controlled to move above the sedimentation tank. During the movement, based on the mud level meter set by the mud discharger, the mud level of the corresponding associated point is confirmed in real time, and the moving distance is recorded based on the moving process. When the moving distance reaches 3m, the area covered by this movement is divided into a group of moving areas, and the confirmed mud level heights of several associated points are bundled to generate a regional bundled data packet. The moving distance is confirmed by the distance meter set inside. Specifically, the normal length of the sedimentation tank is 130m. In order to achieve better mud discharge accuracy, the mud discharge is divided into 3m areas. In each different mud discharge area, different mud discharge processing logics need to be executed for mud discharge, which can not only effectively achieve the effect of sufficient mud discharge, but also effectively save energy at the same time.

[0042] An acoustic wave device is arranged outside the mud level meter, and the acoustic wave device performs acoustic wave detection processing on the surface sludge of the moving area associated with this moving process, and generates a sludge model surface about this moving area based on the specific data associated with the acoustic wave detection, and synchronously places this sludge model surface in the regional bundled data packet associated with this moving area. Specifically, when the acoustic wave device performs acoustic wave detection, it performs real-time detection based on the moving process of the corresponding sludge discharger, and the detection direction is perpendicular to the moving direction of the sludge discharger, that is, when the sludge discharger moves horizontally, when it moves to a certain moving point, the acoustic wave device performs detection processing on the vertical line perpendicular to this moving point, and confirms the sludge curve associated with this vertical line. In the process of continuous movement, based on the sludge curve generated in real time, the corresponding sludge model surface can be generated in real time. Because the method of generating a specific model body based on acoustic wave detection is relatively common in the prior art, it will not be described in detail here.

[0043] For subsequent different mobile areas, the regional bundled data packets associated with each different mobile area are confirmed in turn in the same sampling manner.

[0044] Among them, the data collection processing end confirms the mud level height of each mobile area-related point based on the regional bundled data package associated in the sampling process, and then confirms the height of other surrounding points based on the sludge model surface of the sludge corresponding to each different mobile area, and then locks the standard height associated with the corresponding mobile area, and transmits the determined standard height to the execution logic confirmation end, where the standard height associated with the corresponding area is confirmed to be:

[0045] Based on the sludge model surface of the corresponding mobile area confirmed in the regional bundled data package, the sludge level height is determined based on a number of associated points in the sludge model surface;

[0046] The bottom plane of the sedimentation tank is used as the base plane, and the associated points with mud level height are calibrated as reference points. The horizontal difference height between several different points on the surface of the sludge model and the reference point is confirmed from the surface, and the actual height of different points is locked;

[0047] Based on the actual heights of different points on the surface of the sludge model (including the mud heights at associated points), several groups of actual heights are averaged to confirm the standard height associated with the moving area;

[0048] Specifically, by adopting this treatment method, the specific height data of the corresponding sludge area can be fully and effectively confirmed, so that the numerical values ​​associated with the subsequent treatment process are more accurate, thereby achieving better sludge treatment effects.

[0049] Second embodiment

[0050] In the specific implementation process of this embodiment, based on the standard height of the corresponding moving area confirmed in the first embodiment, the specific execution logic of the corresponding moving area is confirmed;

[0051] Among them, the database stores the pre-set execution logic, which is extracted by the execution logic confirmation terminal;

[0052] Among them, the execution logic confirmation end, based on the different standard heights associated with each different moving area, confirms the execution logic associated therewith from the database and performs mud discharge processing, wherein the specific processing method for determining the execution logic is:

[0053] The different standard heights associated with each different moving area are calibrated as G k , where k represents different mobile areas;

[0054] When G k When the height is ≤0.2m, there is no need to discharge mud. There is one cycle in every three subsequent movement cycles for mud discharge, which is operated by related personnel. The logic of mud discharge is: the gantry truck moves at 50HZ and the siphon pump stops;

[0055] When 0.2m<G k When the height is ≤0.3m, the first execution logic is executed, which includes: the gantry crane moves at 50HZ, and the siphon pump stops (after the siphon pump stops, the sludge can still be sucked due to the siphon characteristics of the corresponding pipe body, and its principle is equivalent to the siphon principle);

[0056] When 0.3m<G k When the height is ≤0.5m, the second execution logic is executed, which includes: the gantry crane moves at 30HZ and the siphon pump is operated synchronously;

[0057] When 0.5m<G k≤0.6m, execute the third execution logic, which includes: when the gantry crane stops for 20s or the real-time monitored sludge concentration value is lower than 4000 (whichever arrives first, the subsequent operation will be executed first. If the sludge concentration value is not lower than 4000 after stopping for 20s, the subsequent operation will be executed. If the sludge concentration value is lower than 4000 but has not reached the time line of stopping for 20s, the subsequent operation will also be executed), control the gantry crane to move at 50HZ and run the siphon pump synchronously;

[0058] When 0.6m<G k When the gantry crane is stopped for 50 seconds or the sludge concentration value monitored in real time is lower than 4000, the gantry crane is controlled to move at 50 Hz and the siphon pump is operated synchronously.

[0059] Third embodiment

[0060] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0061] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0062] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A smart mud discharge system, characterized in that: include: The mud quantity confirmation center confirms the associated data generated in each production process, and locks the mud quantity associated with the corresponding process based on the associated data of the corresponding process. When the accumulated total mud quantity exceeds the limit value, a mud discharge signal is generated and transmitted to the primary control end; The primary control end controls the movement of the sludge discharger based on the generated sludge discharge signal, and preferentially executes a set of movement cycles to complete the sampling process of the sludge surface in different areas inside the sedimentation tank, and transmits the regional bundled data packets generated in the sampling process to the acquisition data processing end; The data collection processing end confirms the mud level height of each moving area-related point based on the area bundled data package associated in the sampling process, and then confirms the height of other surrounding points based on the mud model surface corresponding to the mud in each different moving area, and then locks the standard height associated with the corresponding moving area, and transmits the determined standard height to the execution logic confirmation end; The execution logic confirmation end, based on the different standard heights associated with each different moving area, confirms the execution logic associated therewith from the database and performs mud discharge processing.

2. The intelligent mud discharge system according to claim 1, characterized in that: The associated data include raw water turbidity, polyaluminium ferric chloride consumption, ferric chloride consumption, powdered activated carbon consumption, potassium permanganate consumption and water production, wherein the raw water turbidity and water production are directly collected by designated sensors.

3. The intelligent mud discharge system according to claim 2, characterized in that: The specific method of generating the mud discharge signal by the mud volume confirmation center is as follows: Using S = 1.29C0Q × 10 -2 +0.162D1+0.644D2+B1+0.553B2 confirms the amount of mud S associated with the corresponding process, where C0 represents the turbidity of raw water, Q represents the amount of water produced, D1 represents the consumption of polyaluminium ferric chloride, D2 represents the consumption of ferric chloride, B1 represents the consumption of powdered activated carbon, and B2 represents the consumption of potassium permanganate; The amount of mud S produced in each different production process is calibrated as S i , where i represents different production processes, and the amount of sludge S generated continuously belongs to different production processes i Perform summation to determine the total value ZH. When the total value ZH satisfies: ZH ≥ 12.5t, t represents tons, a mud discharge signal is generated. If ZH < 12.5t, continue monitoring until ZH ≥ 12.5t, and generate a mud discharge signal. After the mud discharge signal is generated, reconfirm the total value and calibrate the next production process as the first production process for recalculation.

4. The intelligent mud discharge system according to claim 1, characterized in that: The specific method of generating the regional bundled data packet at the primary control end is: Based on the confirmed mud discharge signal, the mud discharger is controlled to move above the sedimentation tank. During the movement, the mud level of the corresponding associated points is confirmed in real time based on the mud level meter set by the mud discharger, and the moving distance is recorded based on the moving process of the rangefinder on the mud discharger. When the moving distance reaches 3m, the area covered by this movement is divided into a group of moving areas, and the confirmed mud level heights of several associated points are bundled to generate a regional bundled data packet; An acoustic wave device is arranged outside the mud level meter, which performs acoustic wave detection on the surface sludge of the moving area associated with this moving process, and generates a sludge model surface about this moving area based on the specific data associated with the acoustic wave detection, and synchronously places this sludge model surface in the regional bundled data packet associated with this moving area.

5. The intelligent mud discharge system according to claim 4, characterized in that: When performing acoustic wave detection, the acoustic wave equipment performs real-time detection based on the movement process of the corresponding sludge discharger. The detection direction is perpendicular to the movement direction of the sludge discharger. The acoustic wave equipment performs real-time detection and processing on the vertical line to confirm the sludge curve associated with the vertical line. During continuous movement, the corresponding sludge model surface is generated in real time based on the real-time generated sludge curve.

6. The intelligent mud discharge system according to claim 4, characterized in that: The data collection processing end confirms that the standard height associated with the corresponding moving area is: Based on the sludge model surface of the corresponding mobile area confirmed in the regional bundled data package, the sludge level height is determined based on a number of associated points in the sludge model surface; The bottom plane of the sedimentation tank is used as the base plane, and the associated points with mud level height are calibrated as reference points. The horizontal difference height between several different points on the surface of the sludge model and the reference point is confirmed from the surface of the sludge model, and the actual height of different points is locked; Based on the actual heights of different points on the surface of the sludge model, several groups of actual heights are averaged to confirm the standard height associated with the moving area.

7. The intelligent mud discharge system according to claim 1, characterized in that: Also includes: The database stores the preset execution logic internally, which is extracted by the execution logic confirmation end.

8. The intelligent mud discharge system according to claim 7, characterized in that: The execution logic confirmation end determines the specific processing method of the execution logic as follows: The different standard heights associated with each different moving area are calibrated as G k , where k represents different mobile areas; When G k When the height is ≤0.2m, no mud discharge treatment is required; When 0.2m<G k When the height is ≤0.3m, the first execution logic is executed, which includes: the gantry crane moves at 50HZ and the siphon pump stops; When 0.3m<G k When the height is ≤0.5m, the second execution logic is executed, which includes: the gantry crane moves at 30HZ and the siphon pump is operated synchronously; When 0.5m<G k When the sludge concentration is less than 0.6m, the third execution logic is executed, which includes: when the gantry truck is controlled to stop for 20s or the real-time monitored sludge concentration value is lower than 4000, the gantry truck is controlled to move at 50HZ and the siphon pump is operated synchronously; When 0.6m<G k When the gantry crane is stopped for 50 seconds or the sludge concentration value monitored in real time is lower than 4000, the gantry crane is controlled to move at 50 Hz and the siphon pump is operated synchronously.

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