Sludge reduction method and system based on electrochemical sludge pretreatment

Abstract

The invention discloses a sludge reduction method and system based on electrochemical sludge pretreatment, and relates to the technical field of water treatment engineering.The method comprises the following steps that ion concentration distribution data in an electrolytic bath is obtained through a microelectrode array; constructing a concentration gradient matrix according to the ion concentration distribution data; calculating a salt crystallization probability value based on the concentration gradient matrix, when the ion concentration change rate of the concentration gradient matrix exceeds a preset threshold value, dynamically adjusting a corresponding regional electrode polarity sequence according to a regional electrode adjustment rule, and when the salt crystallization probability value is greater than a set risk threshold value, dynamically adjusting a corresponding regional electrode polarity sequence according to a regional electrode adjustment rule. A high-frequency pulse mode is triggered to physically damage a crystallization layer, and decomposition of sludge organic matter is promoted. According to the method, ion concentration real-time monitoring and dynamic electrode polarity regulation are deployed in the electrolytic bath, an electrode polarity self-adaptive adjustment mechanism is constructed, a regional polarization priority index is provided, and a strategy of dynamically adjusting an electrode polarity sequence as required is realized in combination with an ion migration speed and a concentration gradient.

Description

Technical Field

[0001] The present invention relates to the technical field of water treatment engineering, and in particular to a sludge reduction method and system based on electrochemical sludge pretreatment. Background Art

[0002] In recent years, electrochemical pretreatment technology has been widely used for sludge wall breaking, conditioning, and volume reduction. By applying an electric field to induce redox reactions, this technology effectively disrupts the microbial cell structure in sludge, releasing intracellular substances, increasing the biodegradability of organic matter, and assisting in improving the efficiency of subsequent processes.

[0003] In the electrochemical pretreatment process commonly used in existing technologies, the presence of salt crystals in sewage will hinder the release of organic matter during the electrolysis process. Insufficient release of organic matter will lead to the ineffective decomposition of organic components in the sludge, thus failing to achieve reduction. Conventional electrochemical treatment usually adopts a fixed electrode arrangement and constant electrode polarity control method. However, in the actual sludge treatment process, the ion concentration, conductivity and polarization state in different areas often have spatial inhomogeneity, which will lead to uneven electric field distribution and low polarization efficiency, ultimately affecting the overall treatment effect. Summary of the Invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0005] In view of the above problems in the prior art, the present invention is proposed.

[0006] To solve the above technical problems, the present invention provides the following technical solution: a sludge reduction method based on electrochemical sludge pretreatment, comprising the following steps: Step 1: Obtain ion concentration distribution data in the electrolytic cell through a microelectrode array; Step 2: constructing a concentration gradient matrix based on the ion concentration distribution data, wherein the concentration gradient matrix includes the ion concentration change rate of each coordinate point; Step 3: Calculating the salt crystallization probability value based on the concentration gradient matrix; when the ion concentration change rate of any region in the concentration gradient matrix exceeds a preset threshold, dynamically adjusting the corresponding regional electrode polarity sequence according to the regional electrode adjustment rule; Step 4: When the salt crystallization probability value is greater than the set risk threshold, the high-frequency pulse mode is triggered to physically destroy the crystal layer and promote the decomposition of sludge organic matter.

[0007] As a preferred embodiment of the sludge reduction method based on electrochemical sludge pretreatment of the present invention, the sludge reduction method based on electrochemical sludge pretreatment is characterized in that it comprises the following steps: Step 1: Obtain ion concentration distribution data in the electrolytic cell through a microelectrode array; Step 2: constructing a concentration gradient matrix based on the ion concentration distribution data, wherein the concentration gradient matrix includes the ion concentration change rate of each coordinate point; Step 3: Calculating the salt crystallization probability value based on the concentration gradient matrix; when the ion concentration change rate of any region in the concentration gradient matrix exceeds a preset threshold, dynamically adjusting the corresponding regional electrode polarity sequence according to the regional electrode adjustment rule; Step 4: When the salt crystallization probability value is greater than the set risk threshold, the high-frequency pulse mode is triggered to physically destroy the crystal layer and promote the decomposition of sludge organic matter.

[0008] As a preferred embodiment of the sludge reduction method based on electrochemical sludge pretreatment of the present invention, the arrangement spacing of the microelectrode array satisfies the relationship: ; Where d is the distance between adjacent microelectrodes, L is the length of the electrolytic cell, is the length adjustment coefficient, and the concentration gradient matrix is ​​constructed and calculated based on the set layout spacing of the microelectrode array.

[0009] As a preferred solution of the sludge reduction method based on electrochemical sludge pretreatment of the present invention, the method for constructing the concentration gradient matrix is: S201: Set the electrode array to be arranged in a regular two-dimensional matrix at the bottom of the electrolytic cell. Each electrode collects data at one coordinate point. The electrode numbers are expressed in rows and columns. ; S202: At each coordinate point The local 、 Ion molar concentration value; S203: Separately Concentration in Direction and Concentration in Estimation of rate of change of direction; S204: Based on the above-mentioned estimated value of the ion concentration change rate, the Euclidean norm is used to combine the gradients in the two directions into a comprehensive indicator, which is used to reflect the total measurement value of the intensity of the ion concentration change in the area near the point. The larger the value, the more uneven the ion concentration distribution at that location and the more drastic the change.

[0010] As a preferred embodiment of the sludge reduction method based on electrochemical sludge pretreatment of the present invention, the calculation method of the salt crystallization probability value is: S301: Obtaining the maximum concentration gradient in the total concentration change gradient to serve as the dominant factor in the local enrichment and crystallization location of salts; S302: Considering the inhibitory effect of temperature, temperature T is introduced as a negative correlation factor of the crystallization reaction; S303: Unifying the influencing factors by introducing the empirical coefficient k to characterize the crystallization characteristics under different electrolyte systems; S304: Based on the ion migration phenomenon, combined with the ion migration velocity v and the maximum concentration gradient , temperature T and empirical coefficient k to build a probability model, and calculate the salt crystallization probability value according to the probability model.

[0011] As a preferred solution of the sludge reduction method based on electrochemical sludge pretreatment of the present invention, when the salt crystallization probability value is greater than the set risk threshold, the pulse frequency is adjusted and the duty cycle of the pulse device is adjusted at the same time.

[0012] As a preferred solution of the sludge reduction method based on electrochemical sludge pretreatment of the present invention, the regional electrode adjustment rule is adjusted based on the priority index, and the calculation method of the priority index is: S401: respectively concentration, The concentration was standardized; S402: Add a dynamic adjustment factor for migration speed to priority; S403: A unified priority index is formed by performing weighted summation on the standardized ion concentrations and the dynamic adjustment factors.

[0013] As a preferred solution of the sludge reduction method based on electrochemical sludge pretreatment of the present invention, the regional electrode adjustment rule is: like ≥Threshold , indicating that there is a very high risk of ion accumulation in this area, and the electrode in this area is set to bipolar mode to avoid long-term monopolar action leading to crystal precipitation; If the threshold < <Threshold , indicating that the ion behavior in this area is at medium risk, determine which ion dominates the concentration change: If , set as the anode, promoting Cl - Diffusion; otherwise set to cathode; like ≤ , indicating that the ion behavior in this area is at low risk, the current polarity is maintained unchanged.

[0014] The sludge reduction system based on electrochemical sludge pretreatment is applied to the above-mentioned sludge reduction method based on electrochemical sludge pretreatment, and is characterized in that the system comprises: Ion concentration and migration monitoring module, used for real-time detection of typical ion concentrations and gradients in sludge; Salt crystallization risk assessment module, used to assess the probability of salt crystallization in the electrolysis area; Polarity control decision module, used to calculate the regional polarization priority index based on the collected ion data and determine the working mode of the electrodes in each region; High-frequency pulse adjustment module adjusts the pulse frequency and duty cycle according to the crystallization risk probability, achieving precise control and alleviating the crystallization trend; And the central control and data fusion module is used to centrally receive inputs from each module, execute control decisions, and send control signals.

[0015] The present invention also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned sludge reduction method and system based on electrochemical sludge pretreatment when executing the computer program.

[0016] The present invention also discloses a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the sludge reduction method and system based on electrochemical sludge pretreatment are implemented.

[0017] Beneficial effects of the present invention: 1. By deploying real-time ion concentration monitoring and dynamic electrode polarity control in the electrolyzer, an adaptive electrode polarity adjustment mechanism was established. A regional polarization priority index was proposed. Combining ion migration speed and concentration gradient, a strategy for dynamically adjusting the electrode polarity sequence on demand was implemented. 2. This invention proposes a "salt crystallization probability" assessment model based on ion concentration distribution and temperature conditions, which is used to optimize process control. This probability reflects the relative likelihood of salt crystallization and can be used to dynamically adjust polarity, frequency, and duty cycle to prevent excessive crystallization. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them: Figure 1 This is a schematic flow chart of a sludge reduction method based on electrochemical sludge pretreatment according to the first embodiment of the present invention; Figure 2 This is a flow chart of the sludge reduction method based on electrochemical sludge pretreatment according to the second embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0020] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0021] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0022] Reference Figure 1 , as one embodiment of the present invention, provides a sludge reduction method based on electrochemical sludge pretreatment, the method comprising the following steps: Step 1: Obtain ion concentration distribution data in the electrolytic cell through the microelectrode array.

[0023] Specifically, the arrangement spacing of the microelectrode array satisfies the relationship: ; Where d is the distance between adjacent microelectrodes, L is the length of the electrolytic cell, is the length adjustment coefficient, and the concentration gradient matrix is ​​constructed and calculated based on the set layout spacing of the microelectrode array.

[0024] Step 2: Construct a concentration gradient matrix based on the ion concentration distribution data. The concentration gradient matrix contains the ion concentration change rate of each coordinate point.

[0025] Specifically, the concentration gradient matrix is ​​constructed as follows: S201: Set the electrode array to be arranged in a regular two-dimensional matrix at the bottom of the electrolytic cell. Each electrode collects data at one coordinate point. The electrode numbers are expressed in rows and columns. ; Through this step, a structured basic coordinate grid of the microelectrode sampling data in space is constructed, providing numerical support for the subsequent difference method.

[0026] S202: At each coordinate point The local 、 Ion molar concentration value; S203: Separately Concentration in Direction and Concentration in Estimation of rate of change of direction; Specifically: Based on the difference method to estimate the concentration gradient, the central difference method is used to estimate the rate of change (gradient) of ion concentration on a two-dimensional plane. The core idea is to use the values ​​of the neighboring points on both sides of the current point to approximate the partial derivative of the point, which has the advantages of good numerical stability and small error. Concentration in The formula for estimating the rate of change in direction is:

[0027] The numerator represents the Cl measured by the two adjacent electrodes on the left and right sides in the x direction. - The concentration difference, the denominator 2d represents the actual physical distance between the two points, is expressed by the above formula "Cl in the x direction - The rate of change of concentration per unit distance".

[0028] Similarly, The formula for estimating the rate of change is:

[0029] S204: Based on the above-mentioned estimated value of the ion concentration change rate, the Euclidean norm is used to combine the gradients in the two directions into a comprehensive indicator, which is used to reflect the total measurement value of the intensity of the ion concentration change in the area near the point. The larger the value, the more uneven the ion concentration distribution at that location and the more drastic the change.

[0030] Specifically: The expression of the comprehensive indicator is:

[0031] in, Indicates a point The total concentration gradient at .

[0032] Step 3: Calculate the salt crystallization probability value based on the concentration gradient matrix.

[0033] Specifically, in order to improve the efficiency of electrochemical pretreatment during sludge reduction, it is necessary to effectively monitor and suppress the risk of salt crystallization and deposition in the electrolytic cell. Excessive salt crystallization can lead to problems such as electrode polarization, mass transfer retardation, and decreased current efficiency. The salt crystallization probability value is calculated as follows: S301: Obtaining the maximum concentration gradient in the total concentration change gradient to serve as the dominant factor in the local enrichment and crystallization location of salts; S302: Considering the inhibitory effect of temperature, temperature T is introduced as a negative correlation factor of the crystallization reaction (i.e., the higher the temperature, the lower the crystallization probability); S303: Unifying the influencing factors by introducing the empirical coefficient k to characterize the crystallization characteristics under different electrolyte systems; S304: Based on the ion migration phenomenon, combined with the ion migration velocity v and the maximum concentration gradient , temperature T and empirical coefficient k to build a probability model, and calculate the salt crystallization probability value according to the probability model.

[0034] Specifically, the calculation formula of the probability model is:

[0035] Among them, the ion migration velocity term (v / ): It represents the ratio of the actual migration velocity to the reference velocity, reflecting the activity of ion migration. For example, is the ion migration velocity of the electrolyte under standard working conditions, then when v> When ions move more violently, the probability of salt crystallization increases; The concentration gradient term (∇Cmax / ∇Cr (critical nucleation concentration gradient of the salt)): This term describes the difference between the local concentration gradient and the reference gradient. Salt crystallization typically occurs in regions with large concentration gradients, and this term is directly related to the driving force for crystallization.

[0036] Temperature term (T / Tr): Temperature increases generally inhibit salt crystallization (the solubility of some salts increases with temperature), and the denominator design conforms to this physical law. For example, when T>Tr (the standard operating temperature of the electrolyte), the denominator increases and the overall probability decreases. When the probability of salt crystallization exceeds the set risk threshold, the high-frequency pulse mode is triggered to physically destroy the crystal layer, promoting the decomposition of organic matter in the sludge. In other words, by triggering the high-frequency pulse mode of the electrolysis system, a chain reaction can be achieved: destroying the salt crystal layer → releasing the encapsulated organic matter → improving electrolytic oxidation efficiency → promoting the decomposition of organic matter in the sludge, ultimately achieving sludge reduction.

[0037] At the same time, when the probability value of salt crystallization is greater than the set risk threshold, the pulse frequency is adjusted and the duty cycle of the pulse device is adjusted. That is, it is used to control the on-off time ratio of the electrode pulse signal and detect the non-uniformity of the ion concentration in the current electrolytic cell (using the maximum concentration gradient). The larger the value, the greater the probability of salt crystallization. The duty cycle of the current output pulse should be larger to shorten the polarization effect of the high-concentration ion aggregation area and slow down the tendency of salt precipitation.

[0038] Example 2, reference Figure 2 The difference from Example 1 is that when the rate of change of the ion concentration in any region of the concentration gradient matrix exceeds a preset threshold, the polarity sequence of the corresponding regional electrode is dynamically adjusted according to the regional electrode adjustment rule: the regional electrode adjustment rule is adjusted based on the priority index, and the priority index is calculated as follows: S401: respectively concentration, The concentration was standardized; Here Taking concentration as an example, the standardization formula is: ; The region is represented by this formula If the ratio of the concentration change rate to the system allowable threshold is much greater than 1, it means that the area Ions aggregate rapidly, with a high potential risk of crystallization; S402: Add a dynamic adjustment factor for migration speed to priority; The expression of the adjustment factor is: v / If the migration speed is fast, it may aggravate the accumulation of ions on both sides of the electrode and accelerate the risk of crystallization; S403: A unified priority index is formed by performing weighted summation on the standardized ion concentrations and the dynamic adjustment factors.

[0039] The expression of the final priority index is: .

[0040] in, 、 、 is the weight coefficient of the corresponding item.

[0041] The regional electrode adjustment rules are: like ≥Threshold , indicating that there is a very high risk of ion accumulation in this area, and the electrode in this area is set to bipolar mode to avoid long-term monopolar action leading to crystal precipitation; If the threshold < <Threshold , indicating that the ion behavior in this area is at medium risk, determine which ion dominates the concentration change: If , set as the anode, promoting Cl - Diffusion; otherwise set to cathode; like ≤ , indicating that the ion behavior in this area is at low risk, the current polarity is maintained unchanged.

[0042] In addition, this embodiment also discloses a sludge reduction system based on electrochemical sludge pretreatment, which is applied to the above-mentioned sludge reduction method based on electrochemical sludge pretreatment. The system includes: an ion concentration and migration monitoring module, which is used to detect the typical ion concentration and gradient in the sludge in real time; a salt crystallization risk assessment module, which is used to assess the probability of salt crystallization in the electrolysis area; a polarity control decision module, which is used to calculate the regional polarization priority index based on the collected ion data and determine the working mode of the electrodes in each area; a high-frequency pulse adjustment module, which adjusts the pulse frequency and duty cycle according to the crystallization risk probability; realizes precise control and alleviates the crystallization trend; and a central control and data fusion module, which is used to centrally receive inputs from each module, execute control decisions, and send control signals.

[0043] This embodiment also provides a computer device, which is suitable for the sludge reduction method based on electrochemical sludge pretreatment, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the sludge reduction method based on electrochemical sludge pretreatment proposed in the above embodiment.

[0044] The computer device may be a terminal, comprising a processor, memory, a communication interface, a display, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and computer programs. The internal memory provides an environment for the operating system and computer programs stored in the non-volatile storage media. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication. Wireless communication may be achieved via Wi-Fi, a carrier network, NFC (near-field communication), or other technologies. The display of the computer device may be a liquid crystal display or an electronic ink display. The input device may be a touchscreen overlay on the display, buttons, a trackball, or a touchpad on the computer device housing, or an external keyboard, touchpad, or mouse.

[0045] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the sludge reduction method based on electrochemical sludge pretreatment proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0046] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. 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 solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A sludge reduction method based on electrochemical sludge pretreatment, characterized in that: The following steps are involved: Step 1: Obtain ion concentration distribution data in the electrolytic cell through a microelectrode array; Step 2: constructing a concentration gradient matrix based on the ion concentration distribution data, wherein the concentration gradient matrix includes the ion concentration change rate of each coordinate point; Step 3: Calculating the salt crystallization probability value based on the concentration gradient matrix; when the ion concentration change rate of any region in the concentration gradient matrix exceeds a preset threshold, dynamically adjusting the corresponding regional electrode polarity sequence according to the regional electrode adjustment rule; Step 4: When the salt crystallization probability value is greater than the set risk threshold, the high-frequency pulse mode is triggered to physically destroy the crystal layer and promote the decomposition of sludge organic matter.

2. The sludge reduction method based on electrochemical sludge pretreatment according to claim 1, characterized in that: The arrangement spacing of the microelectrode array satisfies the relationship: ; Where d is the distance between adjacent microelectrodes, L is the length of the electrolytic cell, is the length adjustment coefficient, and the concentration gradient matrix is ​​constructed and calculated based on the set layout spacing of the microelectrode array.

3. The sludge reduction method based on electrochemical sludge pretreatment according to claim 2, characterized in that: The method for constructing the concentration gradient matrix is: S201: Set the electrode array to be arranged in a regular two-dimensional matrix at the bottom of the electrolytic cell. Each electrode collects data at one coordinate point. The electrode numbers are expressed in rows and columns. ; S202: At each coordinate point The local 、 Ion molar concentration value; S203: Conduct separately Concentration in Direction and Concentration in Estimation of rate of change of direction; S204: Based on the above-mentioned estimated value of the ion concentration change rate, the Euclidean norm is used to combine the gradients in the two directions into a comprehensive indicator, which is used to reflect the total measurement value of the intensity of the ion concentration change in the area near the point. The larger the value, the more uneven the ion concentration distribution at that location and the more drastic the change.

4. The sludge reduction method based on electrochemical sludge pretreatment according to claim 3, characterized in that: The calculation method of the salt crystallization probability value is: S301: Obtaining the maximum concentration gradient in the total concentration change gradient to serve as the dominant factor in the local enrichment and crystallization location of salts; S302: Considering the inhibitory effect of temperature, temperature T is introduced as a negative correlation factor of the crystallization reaction; S303: Unifying the influencing factors by introducing the empirical coefficient k to characterize the crystallization characteristics under different electrolyte systems; S304: Based on the ion migration phenomenon, combined with the ion migration velocity v and the maximum concentration gradient , temperature T and empirical coefficient k to build a probability model, and calculate the salt crystallization probability value according to the probability model.

5. The sludge reduction method based on electrochemical sludge pretreatment according to claim 4, characterized in that: When the salt crystallization probability value is greater than the set risk threshold, the pulse frequency is adjusted while adjusting the duty cycle of the pulse device.

6. The sludge reduction method based on electrochemical sludge pretreatment according to claim 3, characterized in that: The regional electrode adjustment rule is adjusted based on the priority index, and the priority index is calculated as follows: S401: respectively concentration, The concentration was standardized; S402: Add a dynamic adjustment factor for migration speed to priority; S403: A unified priority index is formed by performing weighted summation on the standardized ion concentrations and the dynamic adjustment factors.

7. The sludge reduction method based on electrochemical sludge pretreatment according to claim 6, characterized in that: The regional electrode adjustment rules are: like ≥Threshold , indicating that there is a very high risk of ion accumulation in this area, and the electrode in this area is set to bipolar mode to avoid long-term monopolar action leading to crystal precipitation; If the threshold < <Threshold , indicating that the ion behavior in this area is at medium risk, determine which ion dominates the concentration change: If Leading concentration changes, set as anode, promote Diffusion; otherwise set to cathode; like ≤ , indicating that the ion behavior in this area is at low risk, the current polarity is maintained unchanged.

8. A sludge reduction system based on electrochemical sludge pretreatment, wherein the sludge reduction method based on electrochemical sludge pretreatment according to claim 7 is characterized in that: The system includes: Ion concentration and migration monitoring module, used for real-time detection of typical ion concentrations and gradients in sludge; Salt crystallization risk assessment module, used to assess the probability of salt crystallization in the electrolysis area; Polarity control decision module, used to calculate the regional polarization priority index based on the collected ion data and determine the working mode of the electrodes in each region; High-frequency pulse adjustment module adjusts the pulse frequency and duty cycle according to the crystallization risk probability, achieving precise control and alleviating the crystallization trend; And the central control and data fusion module is used to centrally receive inputs from each module, execute control decisions, and send control signals.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the sludge reduction method and system based on electrochemical sludge pretreatment according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the sludge reduction method and system based on electrochemical sludge pretreatment according to any one of claims 1 to 7 are implemented.

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